Adverse Effects of fine particulate matter on human kidney functioning: a systematic review
Environmental Health volume 21, Article number: 24 (2022)
Ambient fine particulate matter (PM < 2.5 μm, PM2.5) is gaining increasing attention as an environmental risk factor for health. The kidneys are considered a particularly vulnerable target to the toxic effects that PM2.5 exerts. Alteration of kidney function may lead to a disrupted homeostasis, affecting disparate tissues in the body. This review intends to summarize all relevant knowledge published between January 2000 and December 2021 on the effects of ambient PM2.5 and the adverse effects on kidney function in adults (≥ 18 years).
Results and Discussion
Studies published in peer-reviewed journals, written in English, regarding the effects of PM2.5 on kidney function and the development and/or exacerbation of kidney disease(s) were included. Of the 587 nonduplicate studies evaluated, 40 were included, comprising of studies on healthy or diagnosed with pre-existing disease (sub)populations. Most of the studies were cohort studies (n = 27), followed by 10 cross-sectional, 1 ecological and 2 time-series studies. One longitudinal study was considered intermediate risk of bias, the other included studies were considered low risk of bias. A large portion of the studies (n = 36) showed that PM2.5 exposure worsened kidney outcome(s) investigated; however, some studies show contradictory results. Measurement of the estimated glomerular filtration rate, for instance, was found to be positively associated (n = 8) as well as negatively associated (n = 4) with PM2.5.
Limitations and Conclusion
The main limitations of the included studies include residual confounding (e.g., smoking) and lack of individual exposure levels. The majority of included studies focused on specific subpopulations, which may limit generalizability. Evidence of the detrimental effects that ambient PM2.5 may exert on kidney function is emerging. However, further investigations are required to determine how and to what extent air pollution, specifically PM2.5, exerts adverse effects on the kidney and alters its function.
The systematic review protocol was submitted and published by the International Prospective Register of Systematic Reviews (PROSPERO; CRD42020175615).
The human kidneys are a vulnerable target for exposure to toxic substances due to their filtration function. About 180 L of blood are filtered per day, of which water, metabolic waste, and toxic components are removed . Altered kidney function may affect homeostasis and, subsequently, lead to dysfunctions in other tissues [2, 3]. Kidney diseases, such as chronic kidney disease (CKD), hold a large burden on public health worldwide ; it is estimated that globally, e.g., CKD prevalence amounts to 13.4% (11.7 – 15.1%) and progression of the disease may lead to end-stage renal disease (ESRD), requiring dialysis and/or kidney replacement therapy . Furthermore, significant costs can be attributed to requiring dialysis; in 2018, the annual cost for dialysis per person was estimated at 85,966 USD (76,282 EUR) .
A significant toxic substance to which everyone is exposed on a daily basis is particulate matter (PM) from ambient air pollution. PM is classified by the International Agency for Research on Cancer (IARC) as carcinogenic to humans . Rather than coarse PM (PM10) as the indicator of airborne particulate pollution, fine particulate matter (PM2.5; particles having a diameter < 2.5 microns) has been gaining more attention and is assumed to be more closely associated with adverse health effects linked to outdoor air pollution exposure . In 2016, the World Health Organization (WHO) estimated that annually 4.2 million deaths could be attributed to ambient PM2.5 . As of now, no threshold for PM2.5 has been identified below which it would not pose a threat to human health. Therefore, in 2021, the WHO lowered the annual mean of PM2.5 from 10 µg/m³ to 5 µg/m³ . PM2.5 has the potential to translocate into the blood  and towards distant organs [12, 13] following inhalation. In that regard, Saenen et al.  showed the presence of black carbon particles – a significant component of PM2.5 – as a marker of medium-term to chronic exposure to combustion-related air pollution in the urine of healthy individuals. The presence of these toxic particles may cause direct or indirect adverse effects on the kidneys. In that regard, PM2.5 has been shown to mediate atherosclerosis development, which may induce vascular dysfunction and result in microvascular damage and atherosclerotic kidney disease . This suggests that inhaled small particles (<30 nm diameter) can selectively accumulate in the kidney during the filtration and excretion processes and subsequently directly induce vascular inflammation, entailing renal damage. Moreover, persons already diagnosed with a disease affecting the kidney (e.g., diabetes mellitus) or with a compromised immune system (e.g., kidney transplant recipients) could experience a worsening of symptoms following increased PM2.5 exposure .
The detrimental effects of air pollutants such as PM2.5 on the kidney have just begun to be acknowledged. Therefore, this systematic review aims to (i) summarize the literature regarding ambient PM2.5 exposure and its adverse effects on kidney functioning in humans, (ii) to elucidate the reported detrimental effects on the kidneys, and (iii) to evaluate the research gaps and further research needs.
This systematic review was processed according to the Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) statement . In accordance with these guidelines, our systematic review protocol was submitted and published by the International Prospective Register of Systematic Reviews (PROSPERO; CRD42020175615).
Data Searches and Sources
Studies addressing the potential effects of ambient PM2.5 exposure on kidney functioning in adults (≥ 18 years) were retrieved according to a four-stage process. In the first stage, potentially eligible studies were identified through a literature search of two bibliographic databases, PubMed (www.pubmed.ncbi.nlm.nih.gov) and Scopus (www.elsevier.com/solutions/scopus), using the MeSH terms “kidney” and “kidney disease” along with the keywords: “fine particulate matter”, “element* carbon”, “black carbon”, “ufp”, ultrafine partic*”, particul* matter”, “PM2.5”, and “nephropath*”, “kidney failure”, “kidney insufficienc*”, “renal insufficienc*”, and “chronic renal”. The reference lists of key reviews and the included papers were screened to recover any additional eligible publications to ensure literature completeness. The literature search covered articles published between January 1st, 2000 and December 20th, 2021.
Data Selection and Risk of Bias Evaluation
In the second stage, two reviewers (LR and KVB) independently screened the titles and abstracts of all identified papers to exclude studies that did not fulfill one or more of the a priori set inclusion criteria. Any disagreement was resolved through discussion. If no consensus could be reached, a third reviewer (HB) was consulted. Duplicate studies were removed. We included longitudinal, cross-sectional, and cohort studies written in English, which addressed the effects of exposure to PM2.5 on the kidney or kidney disease outcomes. Publications describing animal or in vitro studies, or examining exposure to coarse PM (PM10), PM2.5 − 10, and volatile substances [e.g., carbon monoxide (CO), ozone (O3), nitrogen dioxide (NO2), or sulfur dioxide (SO2)] were excluded. Additionally, studies focusing on kidney function or disease outcomes in children or adolescents were excluded as the leading causes of the development of kidney diseases vary significantly among these subpopulations [18, 19].
In a third stage, full-text articles were retrieved and underwent a second screening for eligibility following the previously described inclusion criteria. According to the Newcastle-Ottowa Quality Assessment Scale (NOS) for cohort studies, risk of bias analysis was performed by two independent researchers (LR, KVB). The NOS scale uses a star system to judge a study and to evaluate the risk of bias . The most important adjustable factor for comparability was considered age. The cut-off for the highest risk of bias was set at less than half of the points obtainable (3 stars or less).
In the fourth stage, selected studies were grouped according to the specified kidney disease outcome(s) under investigation characterizing the study population. To conduct the in-depth systematic review, the following information was extracted and registered from each article in a preset data extraction form: authors, publication year, country where the study is realized, study period, study population, type of study, PM2.5 exposure measurements, kidney dysfunction or parameters investigated, comorbidity at onset of the study (e.g., diabetes mellitus), identified confounders, and main findings (e.g., incidence rate of kidney disease outcome(s) in relation to PM2.5 exposure).
Synthesis of Results
The diversity in the examined human populations (e.g., the elderly, pregnant women, or general adult population) and differently defined assessments of kidney disease outcomes (e.g., using only one, two, or more eGFR measurements to determine CKD) did not allow to carry out a comparative quantitative analysis. Alternatively, we provided a qualitative overview of the results describing the effects of PM2.5 exposure on human kidney disease outcomes. The narrative synthesis of results was subsequently achieved by summarizing and grouping information on different kidney disease outcomes in relation to PM2.5 exposure.
Literature Selection and Assessment of Risk of Bias
The last search was conducted on December 20th, 2021 using the MeSH terms “kidney” and “kidney disease”, and the aforementioned additional keywords to identify 737 articles in total. Also, two new articles were identified from reference lists of reviews (Fig. 1). After the removal of duplicates, 587 articles remained and were screened for eligibility. The abstracts of these 587articles were evaluated and 517 records were excluded from the analysis. From the total of excluded records, 32 articles were not written in English, 140 articles did not focus on ambient PM2.5specifically, and 146 did not address the kidney or kidney disease outcomes. Additionally, 199 articles were excluded from the analysis as they did not address original studies (n = 58), focused on experimental studies in animals or humans (n = 99+29 = 128), or did not address adults (n = 13). The remaining 70 selected studies underwent in-depth review, resulting in 30 additional removals (3 articles lacked full-text availability, 10 were reviews, 12 were not original reports, and 5 addressed kidney cancer). The 40 studies fulfilling the inclusion criteria were included for this systematic review.
The risk of bias analysis was performed using the Newcastle – Ottowa Scale and articles were ranked accordingly: gaining ≤ 3 stars meant a high risk of bias, ≤ 5 stars an intermediate risk of bias, and ≥ 6 stars a low risk of bias . One article had an intermediate risk of bias , while no articles were considered as high risk of bias (Supplementary Table 1).
The 40 studies included in this systematic review were either cohort studies (n = 27, Table 1), cross-sectional (n = 10, Table 2), ecological (n = 1, Table 3), or a time-series study (n = 2, Table 3) and conducted in an epidemiological context of exposure to ambient PM2.5. We identified studies investigating (i) clinical measurements of the estimated glomerular filtration rate (eGFR) (n = 8) [15, 21,22,23,24,25,26,27], (ii) general kidney functioning through changes in biomarkers (n = 2) [28, 29], and (iii) glomerular diseases (n = 4) [30,31,32], including systemic lupus erythematosus (SLE; n = 1) . The remaining 26 articles focused on persons with a diagnosis of diabetes mellitus (n = 2) [34, 35], the development and/or worsening of CKD (n = 14) [36,37,38,39,40,41,42,43,44,45,46,47,48,49], ESRD (n = 2) [50, 51], renal failure (n = 4) [52,53,54,55], and kidney transplant outcome (n = 4) (Fig. 2) [56,57,58,59].
Of all included studies, 19 studies [22,23,24,25,26, 31, 33,34,35,36,37,38,39,40,41,42,43,44,45, 47,48,49,50,51,52,53, 56, 58] had PM2.5 exposure levels that exceeded the old 2006 WHO air quality guidelines for ambient PM2.5, namely the annual mean (10 µg/m³) or the 24-hour mean (25 µg/m³) , of which 7 studies had PM2.5 exposure levels ranging from below the guideline to exceeding the pre-set guidelines [33, 34, 36, 44, 51, 56, 58]. Only 5 studies had a mean PM2.5 exposure level below the 2006 WHO air quality guidelines [27, 54, 55, 57, 59]. According to the new air quality guidelines announced in 2021, all studies exceeded the newly set guidelines for the annual mean (5 µg/m³) or the 24-hour mean (15 µg/m³) . Additionally, 8 studies listed average PM2.5 exposure levels divergent from annual or daily means [15, 21, 24, 28,29,30, 32, 35, 46], i.e., 72-hour PM2.5 exposure means , various moving day averages  two-year , three-year  or seven-year  annual PM2.5 means, PM2.5 means during the study or follow-up period [32, 35], and means of PM2.5 exposure during the pregnancy .
Furthermore, 27 of the 40 included studies showed significant results or associations with investigated parameters and PM2.5 exposure [15, 21, 23, 26, 30,31,32, 34,35,36,37, 39, 40, 43,44,45,46,47,48,49,50,51,52,53,54, 58, 59]; 4 studies did not show any significant results or associations [24, 25, 42, 56]. It is of note that some articles (n = 9) [22, 27, 28, 33, 38, 40, 55, 57, 59] showed significant associations with one parameter, but not with another parameter investigated. Blum et al.  observed no significant association in eGFR, but did observe significant associations with an increased risk of incident CKD and higher levels of albuminuria. Gao et al.  showed that ambient PM2.5 exposure could be associated with a decline in eGFR, but not to serum uric acid, blood urea nitrogen or odds of developing CKD. Chang et al.  could not observe associations with higher odds of acute kidney rejection in the lowest quartile of PM2.5 exposure, but in could in the highest quartile. Chuang et al.  showed differences in urinary markers for welders post-exposure, but could not find significant differences in office workers post-exposure. Bernatsky et al.  showed no associations between PM2.5 exposure and the overall measurement to score systemic lupus erythematosus disease activity, but anti-double stranded DNA and urinary casts could be significantly associated to PM2.5 exposure. No differences in eGFR could be demonstrated for PM2.5 exposure, but Chen et al.  could for PM2.5 absorbance. Feng Y. and colleagues  could not show an association between mortality risk in dialysis patients and low levels of PM2.5 (<12 µg/m³), but did show associations for exposure to levels ≥12 µg/m³. Similar results were seen regarding PM2.5 exposure of kidney transplant recipients , where no association with one-year acute rejection could be shown below 12 µg/m³ PM2.5 exposure; though, associations were demonstrated with an increased risk of delayed graft function one-year acute rejection and all-cause mortality for each 10 µg/m³ increase in PM2.5 exposure. Lastly, Ran et al.  found that PM2.5 exposure was associated with renal failure mortality among hypertensive patients, but could not show associations with e.g., all-cause mortality among CKD patients.
eGFR for Assessment of Renal Function
The estimated glomerular filtration rate (eGFR) describes the filtration of a certain volume of blood (milliliter) per unit of time (minutes) for a corporal surface of 1.73 m² by the glomerular capillaries into Bowman’s capsules. Despite that the gold standard for GFR evaluation is the measurement of inulin clearance, eGFR is currently used in medical practice to assess kidney function changes . In the clinic, the GFR is estimated according to the Chronic Kidney Disease-Epidemiology Collaboration (CKD-EPI) equation. The single CKD-EPI equation for estimating GFR is eGFR = 141 × min(serum creatinine/κ, 1)α × max(serum creatinine/κ, 1)−1.209 × 0.993Age × 1.018 [if female] × 1.159 [if black], where serum creatinine is expressed in mg/dL, κ is 0.7 for females and 0.9 for males, and α is -0.329 for females and -0.411 for males . Another method to estimate GFR, used commonly and addressed by various articles in this review is the Modification of Diet in Renal Disease (MDRD) equation: eGFR = 175 × (serum creatinine)−1.154 × (age)−0.203 × 0.742 [if female] × 1.212 [if black], where serum creatinine is expressed in mg/dL .
The effects of PM2.5 exposure on changes in eGFR was addressed in 12 of the included studies [15, 21,22,23,24,25,26,27, 42, 47, 49, 51]. These studies evaluating PM2.5 and eGFR have shown contradictory results. In the Atherosclerosis Risk in Communities cohort, participants were followed up from 1996 to 1998 to 2016 (mean age 63 years; n = 10,997); at baseline, no significant association between PM2.5 exposure and eGFR [eGFR = 0.07 mL/min/1.73 m², 95% confidence interval (CI) -0.28 to 0.41] was found . In a cross-sectional study conducted on citizens (> 30 years; n = 21,656), Yang et al.  showed no significant association in eGFR decline (eGFR = -0.09 mL/min/1.73 m², 95% CI -0.25 to 0.07) for an interquartile range (IQR) increment of 5.67 µg/m³ in PM2.5. Furthermore, the latter report also did not show a significant association between change in eGFR (0.02 mL/min/1.73 m², 95% CI -0.16 to 0.19) and an IQR increment of 0.48 × 10−5/m in PM2.5 absorbance, which characterizes local soot emissions . In a Flemish cohort (n = 820 at baseline participation and n = 653 at follow-up participation), Feng Y.M. et al.  stipulated that changes in eGFR [Odds ratio (OR)baseline = 0.00, 95% CI -1.18 to 1.19; ORfollow−up = -0.30, 95% CI -1.78 to 1.18; and ORcombination = 0.01, 95% CI -1.16 to 1.17] or serum creatinine (ORbaseline = 0.23, 95% CI -1.07 to 1.52; ORfollow−up = 0.10, 95% CI -2.03 to 2.23; and ORcombination = 0.28, 95% CI -1.19 to 1.75) were unrelated to PM2.5 exposure (p ≥ 0.69) when considering only the baseline exposure levels, only the follow-up, or a combination. Lastly, Li A. et al.  investigated the effects of PM2.5 exposure on eGFR in a population (n = 169) residing in China. A decline in eGFR, calculated through both the MDRD (e.g., 60-day exposure: 2.78%, 95% CI -4.61 to 10.73) and CKD-EPI (e.g., 60-day exposure: 1.05%, 95% CI -2.51 to 4.75) equations, was inversely associated with each IQR increase in PM2.5 concentrations, albeit nonsignificant (p > 0.05).
However, in a prospective cohort study on young adults aged 18 to 45 years (n = 2,546,047) of Han ethnicity, Li Q. et al.  observed a 0.77% decrease in eGFR (95% CI -0.81 to -0.73; p < 0.05) for each 10 µg/m³ increment in PM2.5 exposure. Additionally, for each 10 µg/m³ PM2.5 increment, a significant increase of 0.87% (95% CI 0.82 to 0.91; p < 0.05) in serum creatinine could be shown . Furthermore, associations between eGFR or serum creatinine and PM2.5 exposure levels were higher in females than in males (p < 0.05). In another a prospective cohort study on war veterans (mean age 73.5 years at the first visit; n = 669), Mehta et al.  showed that a 2.1 µg/m³ higher one-year PM2.5 exposure was significantly associated (p < 0.05) with a 1.87 mL/min/1.73 m² lower eGFR (95% CI -2.99 to -0.76); additionally, the aforementioned increment in one-year PM2.5 was significantly associated (p < 0.05) with an annual decrease in eGFR of 0.60 mL/min/1.73 m² (95% CI -0.79 to -0.40). They could not only link PM2.5 to a reduced eGFR, but also to an increased rate of eGFR decline over time . A second study  performed on this population assessed the short-term (28-day window) effects of PM2.5 exposure on renal function. The average ± SD 28-day PM2.5 concentration was 9.27 µg/m³ ± 3.08 µg/m³ to which the 808 elderly war veterans with a mean ± SD age of 75.7 ± 7.2 years (n = 2,466 study visits over those 808 participants) were exposed. Results indicated a robust association between PM2.5 exposure and lower eGFR. For each 4.09 µg/m³ increment in 28-day PM2.5, a mean ± standard error (SE) change of -1.6078 ± 0.4446 mL/min/1.73 m² was observed (p < 0.001).
A retrospective cross-sectional study by Kuźma et al.  on patients, referred for elective coronary angiography (n = 3,554) with a median age of 66 years, showed that a 15.9 µg/m³ increase in weekly PM2.5 exposure was associated with a 2% reduction in expected eGFR (β = 0.02, 95% CI -0.03 to -0.01; p < 0.05). In another cross-sectional study design on pregnant women (n = 10,052), Zhao et al.  estimated a significant reduction (p < 0.01) in eGFR of 0.54 mL/min/1.73 m² (95% CI -0.74 to -0.33) during the entire pregnancy for an IQR increment of PM2.5. In a prospective war veterans study (n = 2,482,737), Bowe et al.  reported an increased risk (p ≤ 0.05) of incident eGFR <60 mL/min/1.73 m² [hazard ratio (HR) = 1.25, 95% CI 1.17 to 1.34] for a 10 µg/m³ increment in PM2.5. Compared to participants exposed to lower PM2.5 levels (5.0 – 9.1 µg/m³), participants exposed to higher PM2.5 levels (> 9.2 µg/m³) had a gradually increased risk of incident eGFR < 60 mL/min/1.73 m . In addition, in a general adult Taiwanese population (n = 108,615) with an average ± SD age of 39.1 ± 11.8 years, Zeng et al.  demonstrated that each 10 µg/m³ increment of PM2.5 could be significantly associated (p < 0.001) with a 3.18-fold increased risk of an eGFR decline ≥30% (95% CI 2.88 to 3.50). In an elderly population (60 – 69 years old; n = 71), the panel study of Fang et al.  showed that an IQR increment of 31.43 µg/m³ in PM2.5 exposure was significantly associated (p < 0.05) with a 3.27% eGFR decrease, albeit in a small population size (n = 71).
The underlying mechanism(s) that may explain why 4 studies [22, 24, 25, 42] showed no association, while 8 other studies [15, 21, 23, 26, 27, 47, 49, 51] did show associations between a decline in eGFR and PM2.5 exposure, remain unexplored. Yet, as PM2.5 components vary by region, certain regions may contain higher concentrations of such components that are more detrimental to glomerular and proximal tubular function leading to differences in eGFR measurements [15, 22, 23]. However, it is of note that Mehta et al. , Gao et al. , Zhao et al. , and Bowe et al.  investigated overall kidney function on distinctive subpopulations, i.e., elderly veterans with a mean age of 73.5 years  and 75.7 years  respectively, Chinese pregnant women , and veterans with a median age of 62.5 years , which are not representative for the general population, in contrast to the studies by Fang et al. , Blum et al. , Feng Y.M. et al. , Li A. et al. , Li Q. et al. , Kuźma et al. , Zeng et al. , and Yang et al. . In addition, the GFR in normal pregnancies can increase 40 to 50%; therefore, the current standard in clinical practices to evaluate glomerular filtration rate is the creatinine clearance in 24-hour urine . Zhao et al.  measured serum creatinine but did not describe any changes in creatinine clearance in relation to PM2.5 exposure.
It is of note that not all studies use the same equation to determine eGFR. Of all studies addressing measurement(s) of eGFR in this review, 5 studies [21, 43, 46,47,48] estimated GFR according to the MDRD equation, one study  did not specify, and one study  used both equations to estimate GFR, while 13 studies [22, 23, 25,26,27, 29, 34, 37, 38, 41, 42, 44, 49] used the CKD-EPI equation to determine eGFR. Current research is contradictory about the superiority of either methods to estimate GFR [38, 62, 65, 66]. However, in 2013, the CKD-EPI equation was recommended by the ‘Kidney Disease: Improving Global Outcomes (KDIGO) to estimate GFR .
Evaluation of Renal Function through Biomarkers in Urine and Blood
In addition to the use of eGFR measurements and creatinine clearance in the routine assessment of kidney function, urinary biomarkers are progressively used as a noninvasive tool to evaluate the glomerular and tubular functions of the kidneys.
Albuminuria is a sensitive, prognostic marker for changes that are observed in the glomerulus and its permeability to macromolecules . Five studies focused on albuminuria after PM2.5 exposure [22, 24, 25, 29, 48]. Li G. et al.  demonstrated that each 10 µg/m³ increment of PM2.5 exposure could be positively associated (OR = 1.39, 95% CI 1.32 to 1.47) with albuminuria (p < 0.001) in an adult Chinese population (n = 47,204). The study by Blum and colleagues  showed that a higher annual average PM2.5 exposure was associated with increased albuminuria. They concluded that a 1 µg/m³ increment of the annual average PM2.5 was significantly associated (p ≤ 0.001) with a higher urinary albumin-creatinine ratio (UACR) (6.6% difference, 95% CI 2.6 to 10.7%) . The cross-sectional study design of Weaver et al.  has shown opposite results, including inverse associations (p < 0.05) of UACR with 1-year and 3-year averaged PM2.5 exposure (OR = -0.09, 95% CI -0.2 to -0.02 and OR = -0.2, 95% CI -0.3 to -0.06, respectively). The authors stated that this may be due to bias, since participants with better kidney function are more likely to provide urine samples when operating on a voluntary basis . The study by Feng Y.M. et al.  showed that changes in microalbuminuria (ORbaseline = 0.27, 95% CI -0.26 to 0.79; ORfollow−up = 0.06, 95% CI -0.43 to 0.54; and ORcombination= 0.21, 95% CI -0.19 to 0.61) were unrelated to PM2.5 exposure (p ≥ 0.31) when considering only the baseline, only the follow-up, or a combination of participation (n = 820 at the baseline participation and n = 653 at follow-up participation). Furthermore, in a small population sample (n = 169) of participants with an average ± SD age of 64.0 ± 8.7 years, Li A. et al.  could not show any associations between an IQR increase in PM2.5 and UACR (e.g., 60-day exposure: 0.05%, 95% CI -0.50 to 0.61; p > 0.05).
Other promising markers include urinary kidney injury molecule-1 (KIM-1)  and neutrophil gelatinase-associated lipocalin (NGAL) [28, 70], tubular markers of extracellular matrix receptor interaction [28, 70]. Using the urinary markers KIM-1 and NGAL, Chuang et al.  investigated the renal effects of exposure in welders and office workers in a cross-sectional study of whom the personal PM2.5 exposure (50.3 µg/m³ and 27.4 µg/m³, respectively) exceeded the daily guideline set by the WHO at that time frame (25 µg/m³) . Urinary levels of KIM-1 were significantly increased in welders post-exposure compared to pre-exposure (p < 0.05), but no difference was observed between post- and pre-exposure in office workers. Urinary NGAL was significantly higher (p < 0.05) in welders as well as office workers post-exposure compared to pre-exposure. These results indicate that PM2.5 might negatively affect tubular kidney function during short periods of exposure (one working week between pre- and post-exposure measurements of the biomarkers) .
Other traditional biomarkers employed in medical practice include measurements of uric acid (UA) and urea nitrogen (UN) in blood. Increases in UA or UN are an indication of kidney function decline, due to a decrease in the glomerular filtration rate [15, 71]. In pregnant women, Zhao et al.  demonstrated for a IQR increment of 3.90 µg/m³ PM2.5 exposure increases of 0.05 mmol/L (95% CI 0.04 to 0.07) in serum UN and 0.60 mmol/L (95% CI -0.86 to 2.06) in serum UA, indicating a reduction of eGFR. Whereas serum UN was found to be significantly positively associated (p < 0.01) with PM2.5 during the whole pregnancy, no such association could be shown for serum UA . Furthermore, Gao et al.  indicated that no significant associations (p > 0.06) could be shown for UA (0.0674 mg/dL; SE: 0.0442 mg/dL) and UN (0.0110 mg/dL; SE: 0.1987 mg/dL) for each 4.09 µg/m³ increase in short-term 28-day PM2.5 concentration.
The use of novel renal biomarkers in relation to PM2.5 exposure in a clinical setting remains largely underexplored. Various other well-documented urinary glomerular markers such as cystatin C  and urinary tubular markers such as β2-microglobulin , α1-microglobulin , and retinol-binding protein  have not been investigated in (large) population-based studies in relation to the early toxic effects of environmental PM2.5 exposure on kidney function. Further research is required to determine their potential both in research and clinical settings.
Glomerular diseases (e.g., glomerulonephritis, such as nephrotic syndrome) are caused by damage to the glomeruli, which may cause leakage of large proteins into the urine and interference with the clearance of waste products, which can result in a buildup of harmful substances in the blood. Four of the included studies addressed the effects of PM2.5 exposure on the glomeruli [30,31,32], of which one specifically addressed the auto-immune disorder systemic lupus erythematosus (SLE) .
In a time-series study on hospital admissions attributable to nephritis , a 10 µg/m³ increment in PM2.5 exposure caused a significant percental change of 0.23 (95% CI 0.08 to 0.39; p < 0.05) in hospital admissions due to nephritis. The cohort study by Lin S.Y. et al.  demonstrated a clear dose-response relationship between PM2.5 exposure and nephrotic syndrome (NS) in a population cohort of residents of Taiwan (n =161,970). An increasing trend for risk of developing NS was shown; relative to the lowest PM2.5 exposure level (quartile 1; < 29.5 µg/m³), the highest level of PM2.5 exposure (quartile 4; > 41.2 µg/m³) was associated with a 2.53-fold higher risk of developing NS (HR = 2.53, 95% CI 1.01 to 5.94; p < 0.05) .
A common cause of NS in adults is idiopathic membranous nephropathy (iMN), where the immune system attacks the glomeruli, leading to kidney damage . A cohort study by Xu et al.  demonstrated that higher PM2.5 exposure was associated with an increased risk of iMN. However, the relationship appeared non-linear below PM2.5 concentrations of 70 µg/m³; above 70 µg/m³, an increment of 10 µg/m³ PM2.5 exposure was associated with 14% higher odds to develop iMN (95% CI 1.10 to 1.18). The frequency of iMN varied among geographical regions, with the most polluted areas having the highest frequency .
All three studies [30,31,32] addressing glomerular diseases associated with PM2.5 exposure showed that PM2.5 negatively affects the glomeruli. However, the mechanisms by which PM2.5 exposure triggers or exacerbates glomerular diseases remain unknown, requiring more research to elucidate this association. It would be worthwhile to explore whether glomerular diseases presumably linked with a direct toxic insult of PM2.5 exposure on the glomeruli could not be the result of an indirect harmful influence on the glomerular function associated with the progression of tubulointerstitial changes secondary to PM2.5 exposure-linked tubular lesions. The pathophysiological mechanisms of NS development are believed to be associated with autoimmunity that targets the glomerulus. Air pollution and PM2.5 exposure have recently been associated with alterations in autoimmunity, leading to increases in oxidative stress and inflammation, which may trigger autoimmune reactions [31, 77, 78].
Auto-immune diseases, such as SLE, may be associated with varying PM2.5 exposure. In a cross-sectional study design, Bernatsky et al.  investigated whether PM2.5 exposure affected clinical aspects of SLE, listed in the SLE Disease Activity Index version 2000 (SLEDAI-2 K). No clear-cut association between PM2.5 exposure and overall SLEDAI-2 K scores could be demonstrated. The authors stipulated that features of disease activity could have been present early in the 10-day window preceding the assessment but were not present at the time of the hospital visit . However, urinary casts – which reflect renal inflammation – and anti-dsDNA were associated with short-term variations in PM2.5 exposure shortly before the clinical visits (24 to 48 h before). A 10 µg/m³ increment in PM2.5 exposure was significantly associated (p < 0.05) with increased odds for the presence of urinary casts (1.43, 95% CI 1.05 to 1.95) as well as the presence of anti-dsDNA (1.26, 95% CI 0.96 to 1.65) . PM2.5 exposure could not be associated with clinical disease activity features of SLE. These results suggest that PM2.5 exposure has acute effects on the occurrence of anti-dsDNA and urinary casts; however, as the kinetics of anti-dsDNA and urinary casts are not entirely understood, it is physiologically plausible that these markers vary daily with fluctuating PM2.5 exposure.
Diabetes Mellitus as a Driver of Kidney Function Decline
Exposure to PM2.5 has been shown to exacerbate pre-existing health conditions, such as diabetes, in both humans and animals [79,80,81]. Diabetes causes damage to the kidneys by narrowing of the afferent and efferent arterioles transporting blood to and from the kidneys [82, 83]. Therefore, the presence of a pre-existing disease might act as a mediator to adverse kidney outcome(s) following PM2.5 exposure, exacerbating the decline of kidney function.
Diabetes mellitus is a significant risk factor for kidney damage, as blood vessels in the kidney become damaged and high blood pressure will occur. The buildup of water and salts leads to hyperfiltration, causing harm to the nephrons and excess proteinuria . Two studies investigated diabetes mellitus as a mediator of kidney function decline after PM2.5 exposure [34, 35]. A cohort study conducted by Chin and colleagues  showed that patients exposed to lower levels of PM2.5 (quartile 1; 27.7 µg/m³) and those exposed to higher levels of PM2.5 (quartile 3; 38.8 µg/m³) had an annual UACR increase of 3.17 mg/g and 3.96 mg/g respectively. A more rapid progression of microalbuminuria (20 – 200 mg/L) in patients exposed to higher levels of PM2.5 was observed , which may be explained by the known effects of PM2.5 on increased insulin resistance . Additionally, Bowe et al.  indicated diabetes as a mediator in the association of PM2.5 exposure with kidney disease outcomes in an prospective cohort study, where a 10 µg/m³ increment in PM2.5 exposure was associated with increased odds of diabetes (OR = 1.18, 95% CI 1.06 to 1.32), and also with on average a 1.2-fold increased risk of kidney disease outcomes. However, the proportions of association between PM2.5 exposure and kidney disease outcomes mediated by having diabetes varied: 4.7% (95% CI 4.3 to 5.7%) for incident eGFR < 60 mL/min/1.73 m², 4.8% (95% CI 4.2 to 5.8%) for incident CKD, 5.8% (95% CI 5.0 to 7.0%) for ≥ 30% decline in eGFR, and 17.0% (95% CI 13.1 to 20.4%) for ESRD or ≥ 50% decline in eGFR . The study showed that only a small proportion (< 6%) of the association between PM2.5 exposure and the risk of kidney disease outcomes is mediated by diabetes, except for ESRD. The mediation effect of diabetes is much higher for ESRD, likely due to the rapid progression of CKD to ESRD because of diabetes, which may reflect from the relative strength of the association between diabetes and ESRD in comparison to other investigated kidney diseases. However, it is of note that the study conducted by Bowe et al.  may not be generalizable to the general population as the cohort only included United States war veterans with a mean age of 62.5 years. Lastly, Feng Y. et al.  indicated that when diabetes was the primary cause of kidney failure (aHR = 1.25, 95% CI 1.13 to 1.38), patients were more vulnerable to high PM2.5 exposure levels with an increased mortality risk.
The occurrence of a pre-existing driver such as diabetes mellitus might exacerbate the effects that PM2.5 exposure exerts on the kidneys and its functioning. The sparse studies indicated that diabetes mellitus might act as a mediator between kidney disease outcomes (e.g., CKD, ESRD) and PM2.5 exposure.
Chronic Kidney Disease
Diabetes is a significant cause of CKD , due to a gradual loss of kidney function over a period of months to years. The development and progression of CKD is associated with an increasing all-cause mortality . The CKD-linked disability-adjusted life-years (DALYs) attributable to PM2.5 globally in 2016 have been estimated at 11.4 million years . There is no consensus yet about the adverse effects of PM2.5 on CKD development and progression. Of all included studies, 17 studies focused on the effects of PM2.5 exposure on CKD [22, 27, 36,37,38,39,40,41,42,43,44,45,46,47,48,49, 51].
Cross-sectional studies conducted by Wang et al.  and Yang et al.  demonstrated the lack of significant associations between PM2.5 exposure and lower eGFR as an indication of CKD development (β = 0.10, 95% CI -0.30 – 0.49  and β = -0.09, 95% CI -0.25 to 0.07 , respectively) as well as increased CKD prevalence (OR = 0.99, 95% CI 0.91 to 1.08  and OR = 1.03, 95% CI 0.97 to 1.09 , respectively). However, Wang et al.  stipulated that not all crucial confounders were estimated and taken into account in the statistical model(s), which might also be a limitation in the study conducted by Yang and colleagues . Another cross-sectional study, investigating an elderly population (≥ 65 years of age) with stage III to V of CKD, could not show any associations between eGFR as a measure for CKD development or progression and a 4.1 µg/m³ IQR increment of PM2.5 exposure . Of all subjects, 62.8% had hypertension and 17.5% had diabetes at the moment of inclusion in the study. Persons were categorized as having low (68.3%), moderate (20.2%), high (7.2%), or very high risk (4.3%) of CKD progression. For the total population (n = 8,497), the percental changes of eGFR and eGFR < 60 mL/min/1.73 m² were 0.24 (95% CI -0.19 to 0.67) and 0.54 (95% CI -0.21 to 1.26), respectively . In the cohort study by Feng Y.M. et al. , focusing on white Europeans (n = 820 at the baseline participation and n = 653 at follow-up) with an average ± SD age of 51.1 ± 15.6 years, the authors observed that changes in CKD stage(s) (ORbaseline = -0.09, 95% CI -0.42 to 0.24; ORfollow-up = 0.04, 95% CI -0.29 to 0.38; and ORcombination = -0.01, 95% CI -0.29 to 0.26) were unrelated to PM2.5 exposure (p ≥ 0.59) when considering only the baseline, only the follow-up, or a combination of participation.
The cross-sectional study by Chen et al.  also evaluated PM2.5 absorbance, which characterizes local soot emissions. For an IQR increment of PM2.5 absorbance of 0.4 × 10-5/m a significant association was observed with a lower eGFR (-1.07% change, 95% CI -1.57% to -0.54%), higher CKD prevalence (OR = 1.126, 95% CI 1.057 to 1.199), and CKD progression (OR = 1.114, 95% CI 1.051 to 1.181) . These results indicate that emission sources, such as from industrial or residential activities, can contribute to airborne PM and locally change the air pollution composition [38, 87].
Ghazi et al.  investigated CKD prevalence on adult patients (n = 113,725), where for each 1 µg/m³ increase in PM2.5, no association could be demonstrated with CKD prevalence when CKD was defined as having an eGFR <60 mL/min/1.73 m²; however, when CKD was defined as having an eGFR <45 mL/min/1.73 m², the highest quartile (Q4 ≥10.7 µg/m³) of PM2.5 was associated with greater odds of CKD (OR = 1.18, 95% CI 1.05 to 1.33) compared to the lowest quartile (Q1 <9.5 µg/m³). Additionally, each 1 µg/m³ increase in PM2.5 concentration could be associated with 7% greater odds of CKD (95% CI 1.03 to 1.11). At baseline, 35%, 11%, and 9% of patients had hypertension, diabetes, and/or cardiovascular disease(s), respectively.
Li G. et al.  demonstrated that with each increase of 10 µg/m³ PM2.5, a positive association (p < 0.001) could be observed with CKD prevalence (OR = 1.28, 95% CI 1.22 to 1.35) in an adult Chinese population. In this nation-wide cross-sectional study (n = 47,086), a 10 µg/m³ increment in PM2.5 was shown to be significantly associated with increased odds for CKD (OR = 1.24, 95% CI 1.14 to 1.35) at 1- to 4-year moving averages of PM2.5 exposure (p < 0.001). Furthermore, stronger increased odds for CKD was demonstrated in rural areas (OR = 1.51, 95% CI 1.29 to 1.78) compared to urban areas (OR = 0.92, 95% CI 0.79 to 1.07) per increase of 10 µg/m³ PM2.5 at 2-year moving average (pinteraction < 0.001) . In the Veterans Affair Normative Aging cohort study by Gao et al. , for each 4.09 µg/m³ increment in short-term (28-day) PM2.5 concentration, an increased odds for CKD (OR = 1.1399, 95% CI -0.0099 to 0.2718) was observed, albeit non-significant (p > 0.05). Kuźma et al.  performed a retrospective cross-sectional study and showed that with each 15.9 µg/m³ increment in annual PM2.5 exposure, the odds of CKD significantly increased (OR = 1.07, 95% CI 1.01 to 1.15; p = 0.037). Additionally, in a population of 2,482,737 users of the Veterans Affairs Healthcare System, with median of 8.52 years of follow-up, Bowe et al.  observed an increased risk of incident CKD (HR = 1.27, 95% CI 1.17 to 1.38) for a 10 µg/m³ increment in annual average PM2.5 exposure, with an elevated risk at PM2.5 concentrations > 9.2 µg/m³ (p ≤ 0.05). Of the overall cohort, 67.26%, 27.80%, and 29.86% of persons had a diagnosis of hypertension, diabetes, and/or cardiovascular disease(s), respectively. In a prospective follow-up of 10 years, Blum et al.  reached similar conclusions, in that the annual average of PM2.5 exposure in four counties (range: 9.4 – 15.3 µg/m³) was significantly associated with an increased risk of CKD (HR = 1.05, 95% CI 1.01 to 1.10; p < 0.05). Here, 16%, 46%, and 19% participants exposed to lower or equal to the site-specific median (range: 9.4 – 15.3 µg/m³) had diabetes, hypertension, and composite cardiovascular disease, respectively. Comorbidity was similar for participants exposed to a higher site-specific median (17% for diabetes, 49% for hypertension, and 20% for composite cardiovascular disease). Furthermore, a population-based longitudinal cohort study conducted in Taiwan  showed that a higher level of PM2.5 exposure was associated with a higher risk of developing CKD. At the baseline of the study, 16.0% and 5.0% of participants had a diagnosis of hypertension or diabetes, respectively . Relative to the participants exposed to low PM2.5 exposure levels (5.8 – 21.1 µg/m³), those exposed to higher PM2.5 levels (>25.5 µg/m³) had a significantly increased risk of developing CKD (HR = 1.15, 95% CI 1.05 to 1.26; p < 0.05) . For a 10 µg/m³ increment of PM2.5 exposure, Chan et al.  reported a significant risk of CKD incidence (HR = 1.06, 95% CI 1.02 to 1.10; p < 0.05). In another longitudinal cohort study also evaluating the general Taiwanese population (n = 104,092) with a follow-up ≥ 3 years, each increment of 10 µg/m³ PM2.5 could be significantly associated with a 2.66-fold (95% CI 2.43 to 2.90) increased risk of developing CKD (p < 0.001) . Ghazi et al.  also investigated CKD incidence in the adult patient population with no CKD at baseline (n = 20,289) and observed that each 1 µg/m³ increase in baseline annual average PM2.5 was associated with an increased risk of CKD (HR = 1.78, 95% CI 1.65 to 1.89; p < 0.05). Increasing risk was demonstrated for increasing quartiles of baseline PM2.5 exposure, with an HR of 1.72, 2.15, and 2.49 for the second (Q2 9.5 – 10.1 µg/m³), third (Q3 10.1 to 10.7 µg/m³) and fourth (Q4 ≥10.7 µg/m³) quartiles of PM2.5 exposure compared to quartile one (Q1 <9.5 µg/³) (p < 0.05).
A third nation-wide Taiwanese study by Lin S.Y. et al.  reported that exposure levels of PM2.5 above 28.3 µg/m³ (quartile 1) were associated with increased hazard ratios of CKD risk (p < 0.001). They showed an increased risk of CKD incidence for a 1 µg/m³ increment in PM2.5 exposure (HR = 1.03, 95% CI 1.02 to 1.03) . It is of note that 29.1%, 10.1%, and 14.1% of participants had hypertension, diabetes, and coronary artery disease at the time of measurements. In an ecological study by Bragg-Gresham et al.  addressing the elderly population (age ≥65 years), 28.6% and 73.2% of the participants in the low (≤ 12.2 µg/m³) PM2.5 exposure group had a diagnosis of diabetes and hypertension respectively, 32.2% and 77.4% were diagnosed with diabetes and hypertension respectively in the high PM2.5 exposure group (> 12.2 µg/m³). For all participants in their Medicare population cohort (n = 1,164,057), the study showed a prevalence ratio of 1.03 (95% CI 1.02 to 1.05) of diagnosed CKD in association with a 4 µg/m³ increment of PM2.5 exposure. However, it is of note that this positive association between PM2.5 exposure and diagnosed CKD was shown in an elderly population; hence, these results may not be generalizable for younger (sub)populations.
Ran et al.  investigated the mortality risk of ambient PM2.5 exposure on cause-specific mortality in CKD patients in a prospective study design, where 67.0% and 34.9% had self-reported diabetes and hypertension, respectively. They reported an adjusted HR of 1.13 (95% CI 0.98 to 1.30) on all-cause mortality. Furthermore, a 4.0 µg/m³ IQR increment of PM2.5 was associated with mortality from CKD progression (HR = 1.17, 95% CI 0.89 to 1.53) . In a retrospective cohort study by Jung et al. , CKD patients were followed up to evaluate mortality risk after PM2.5 exposure. Of these CKD patients, 21% and 36% reportedly had diabetes and hypertension, respectively. The authors observed that CKD patients who survived were exposed to lower levels of PM2.5 exposure than the CKD patients who passed away during the study period (p < 0.001). For each 2.55 µg/m³ IQR increment in PM2.5 concentration, a significantly increased risk of mortality was observed (HR = 1.17, 95% CI 1.07 to 1.29; p = 0.019). Therefore, PM2.5 exposure may not only play a crucial role in the worsening of CKD, but may also contribute to circulatory damage and be involved in a synergistic effect between hypertension and PM2.5 exposure, which may accelerate CKD progression into renal failure [40, 89].
In a longitudinal cohort study by Bo and colleagues , 163,197 participants were followed up for an average of 5.1 years (range 1.0 to 15.9 years). Of participants, 12.7% and 3.3% had hypertension and diabetes, respectively. Bo et al.  stipulated that for each 5 µg/m³ decrease in PM2.5 levels, positive associations were found for incident CKD (HR = 0.75, 95% CI 0.73 to 0.78). They concluded that a lower risk of CKD development could be associated with chronic PM2.5 exposure improvement. This is the first study to suggest that reducing air pollution may be an effective strategy for the prevention of CKD.
It is important to note that out of seventeen studies, only the studies by Chen et al.  and Feng Y.M. et al.  addressed stages of CKD that were included in their analysis; all other studies did not. Ran et al.  suggested that CKD patients enrolled in their study could be in the moderate to high stages, as symptoms were severe enough to be hospitalized. Furthermore, not every study addressed significant drivers of the development and progression of CKD, such as hypertension [22, 36,37,38,39,40, 43,44,45,46,47,48,49, 51], diabetes [22, 36,37,38,39,40, 43,44,45,46,47,48, 51], and cardiovascular disease [22, 39, 44, 45, 47, 48, 51].
Of the seventeen studies [22, 27, 36,37,38,39,40,41,42,43,44,45,46,47,48,49, 51] evaluating the association between PM2.5 exposure and CKD, five could not show any associations [25, 38, 41, 42, 44]; however, the evidence showing an effect of ambient PM2.5 exposure on CKD development, incidence, prevalence, and mortality is rising. As the global burden of CKD attributable to PM2.5 exposure is significant, efforts to improve ambient air quality are necessary to mitigate this burden [4, 51].
End-Stage Renal Disease and Kidney Failure
CKD may gradually worsen into an advanced stage, termed end-stage renal disease (ESRD), requiring invasive treatments, such as dialysis or kidney transplantation, to maintain quality of life. Even though the prevalence and incidence of ESRD rise globally , the association with PM2.5 exposure remains to be elucidated [50, 51]. Of the included studies, the effects of PM2.5 on the (risk of) development of ESRD was addressed in 3 studies [39, 50, 51].
Relative to low PM2.5 exposure levels (Q1 ≤ 11.71 – 28.69 µg/m³), Wu et al.  found for patients exposed to higher exposure levels (Q4 39.96 – 46.63 µg/m³), an increased risk of developing ESRD (HR = 1.15, 95% CI 1.01 to 1.30; p < 0.05) and also a higher cumulative incidence of ESRD, compared to patients exposed to lower PM2.5 levels (<39.96 µg/m³), in a prospective study design. An IQR increment of 11.31 µg/m³ in PM2.5 exposure was associated with a 8% elevated risk of developing ESRD (95% CI 1.00 to 1.15) . Bowe et al.  reported that for a 10 µg/m³ increment in PM2.5 the risk of developing ESRD was 1.31 (95% CI 1.21 to 1.43) Per 100,000 person-years, the incident rate of ESRD was 44.36 (95% CI 44.27 to 44.45) with higher incidence rates for increasing PM2.5 levels (p ≤ 0.05). Another prospective nation-wide cohort study reported similar results, in that ESRD risk increased for an increment of 1 µg/m³ daily average PM2.5 exposure (aHR = 1.02, 95% CI 1.01 to 1.03; p ≤ 0.01) . The risk of developing ESRD was more elevated for higher levels of PM2.5 exposure (>34.0 µg/m³), relative to participants exposed to lower PM2.5 concentrations (<28.3 µg/m³) .
When components of the kidneys, such as the glomeruli, the tubules, or the tubule-interstitium are damaged, CKD may develop and rapidly progress into ESRD . The hypothesis emerging from recent studies that the development of CKD may be causally linked to air pollution, and more specifically to PM2.5 exposure, requires more research to unravel the mechanisms of PM2.5 involvement in the development of CKD and its rapid progression and/or exacerbation into ESRD [4, 39].
Progression of CKD could also lead to kidney failure, the progressive loss of kidney function. It is believed that the prevalence of kidney failure and the need for replacement therapy will double in the next years, leading to substantial socioeconomic costs [52, 53]. Six studies investigated the effects of PM2.5 exposure on the development, progression, and visits to the emergency room because of mortality from renal failure [32, 40, 52,53,54,55].
In a time-series study by Bi et al. , positive associations could be observed between short-term exposure to PM2.5 (8-day) and emergency room visits due to acute renal failure [relative risk (RR) = 1.026, 95% CI 0.997 to 1.057] per IQR (8.99 µg/m³) increase of PM2.5 exposure. Overall, results showed that exposure to PM2.5 for a longer period was associated with a higher risk of kidney disease outcomes. Furthermore, another time-series conducted by Gu et al.  investigated the number of hospital admissions attributed to kidney failure. Not only was kidney failure shown to be significantly positively associated with same-day PM2.5 exposure, but a 10 µg/m³ increment of PM2.5 exposure was associated (p < 0.001) with a 0.32% change in hospital admissions (95% CI 0.19 to 0.45) attributable to kidney failure.
In a cohort study by Feng Y. et al. , the authors showed that for older patients (≥65 years) on their first-time maintenance dialysis, a 10 µg/m³ increase in PM2.5 concentration could be associated with a 1.16-fold (95% CI 1.08 to 1.25) increased risk of mortality. Furthermore, these associations were stronger at higher levels (>12 µg/m³) of PM2.5 (aHR = 1.19, 95% CI 1.08 to 1.32), but were still significantly associated at lower levels (≤12 µg/m³) of PM2.5 with mortality risk (aHR = 1.04, 95% CI 1.00 – 1.07).
Ran et al.  showed that a 4.0 µg/m³ IQR increment of PM2.5 exposure was associated with an increased risk of renal failure mortality in CKD patients (HR = 1.18, 95% CI 0.91 to 1.52) and CKD patients with existing hypertension (HR = 1.42, 95% CI 1.05 to 1.93). Moreover, CKD patients with hypertension had a significantly higher risk of renal failure mortality (HR = 1.42, 95% CI 1.05 to 1.93; p < 0.05). A retrospective study by Ran et al.  investigated whether the risk of kidney failure mortality differed between a cohort of the general elderly population (≥ 65 years of age; n = 61,447) and patients diagnosed with CKD. They showed that a 3.22 µg/m³ IQR increment of PM2.5 exposure was associated with increased mortality risk in both the cohort participants (HR = 1.23, 95% CI 1.06 to 1.43; p < 0.01) and the patients diagnosed with CKD (HR = 1.42, 95% CI 1.16 to 1.74; p ≤ 0.001). The subcategory analysis of renal failure, including the development of all incidence cases of acute kidney injury and CKD, also showed significant associations (p ≤ 0.001) with PM2.5 exposure . Similar results were obtained by the prospective cohort study by Lin Y.T. and colleagues , in that patients with CKD who were exposed to higher PM2.5 levels (> 32.08 µg/m³) had a significantly increased risk of progression of CKD into kidney failure, requiring replacement therapy (e.g., dialysis) (aHR = 1.42, 95% CI 1.12 to 1.80; p < 0.001). Moreover, an apparent dose-effect relationship was observed for a 7.8 µg/m³ IQR increment in the average 1-year PM2.5 exposure, which was significantly associated with a 19% greater risk of CKD progression (95% CI 1.08 to 1.31) . However, no significant association could be shown between PM2.5 exposure and kidney failure requiring replacement therapy; furthermore, kidney failure requiring replacement therapy was significantly mediated by variability in 1-year estimated eGFR . This suggests that nephrotoxic effects of PM2.5 might play a predominant role in CKD progression [51, 53].
All conducted studies evaluating the association between PM2.5 exposure and renal failure showed associations; not only development of CKD, ESRD, and renal failure have shown to be associated with PM2.5 exposure, but PM2.5 may also be involved in the progression from CKD to ESRD and eventually, renal failure.
Vulnerable subpopulations, such as kidney transplant recipients, experience enhanced susceptibility due to triggering of the immune system by PM2.5, leading to inflammation [16, 56]. A retrospective cohort study by Pierotti et al.  found significant associations between the risk of kidney transplant failure and PM2.5 exposure. An increment of 5 µg/m³ PM2.5 was associated with an increased transplant failure risk (HR = 1.25, 95% CI 1.02 to 1.53); however, this association lost its significance after adjustment for confounders. The study concluded that there are no adverse effects of PM2.5 exposure on kidney transplant outcomes. However, a retrospective cohort study by Chang et al.  showed that higher baseline PM2.5 levels (the annual mean in the year before kidney transplantation), compared to the Q1 PM2.5 levels (1.2 to <8.3 µg/m³), were not associated with higher odds (aOR = 0.99, 95% CI 0.92 to 1.06) of acute kidney rejection for Q2 PM2.5 levels (8.3 to <9.8 µg/m³), but could be associated with increased odds (aOR = 1.11, 95% CI 1.04 to 1.20) for Q3 PM2.5 levels (9.8 to <11.9 µg/m³; p < 0.001). Feng Y. and colleagues  demonstrated that with each 10 µg/m³ increase in PM2.5 concentration, a 1.31-fold higher odds (95% CI 1.17 to 1.46) of one-year acute rejection was observed. That association was not present when the analysis was restricted to kidney transplant recipients who were exposed to PM2.5 concentrations ≤12 µg/m³ (OR = 1.02, 95% CI 0.87 to 1.19). Furthermore, Feng Y. et al.  stipulated that each 10 µg/m³ increase in PM2.5 was associated with a 1.59-fold (95% CI 1.46 to 1.73) higher odds of delayed graft function after transplantation; this association remained consistent, even when the analysis was restricted to kidney transplant recipients who were exposed to ≤12 µg/m³ PM2.5 (OR = 1.75, 95% CI 1.55 to 1.98).
Additionally, an increased risk of death-censored graft failure (aHR = 1.17, 95% CI 1.09 to 1.25) and all-cause mortality (aHR = 1.21, 95% CI 1.14 to 1.28) was shown per 10 µg/m³ increase in PM2.5 exposure levels. However, Feng Y. et al.  could not show an association between each 10 µg/m³ increase in PM2.5 and death-censored graft failure (HR = 1.05, 95% CI 0.97 to 1.15), but could associate all-cause mortality (HR = 1.15, 95% CI 1.07 – 1.23; p < 0.05). In a retrospective cohort study, Dehom et al.  also showed that a 10 µg/m³ increase in PM2.5 exposure levels granted an increased risk of all-cause mortality (HR = 3.45, 95% CI 3.08 to 3.78; p < 0.05) in kidney transplant recipients. Furthermore, results indicated that black recipients had a higher risk of all-cause mortality (HR = 4.09, 95% CI 3.43 to 4.88) than non-black recipients.
In short, results indicating an association between PM2.5 exposure and kidney transplant outcome are ambivalent. However, due to the scarce evidence about the mediating effects of pre-existing reduced kidney function on PM2.5 exposure and kidney function outcomes, it is too early to infer on the impact of PM2.5 exposure on kidney transplant survival. Further research is required. The occurrence of a pre-existing reduced kidney function and chronic immunosuppression might exacerbate the effects that PM2.5 exposure exerts on the kidneys and their functioning [56, 59].
Limitations of Included Studies
The studies included in this systematic review hold some general limitations that must be addressed. Outdoor air pollution, such as PM2.5, has been investigated in association with e.g., atherosclerosis, hypertension, and coronary calcification. These conditions are mediators to kidney disease outcomes, which may cause indirect systemic detrimental effects on the kidney. However, although some studies in this review adjusted for these mediators in their statistical models, the effects exerted by PM2.5 on these mediators may aggravate and/or accelerate the kidney outcome investigated. Therefore, it is an interesting scope to investigate the mediation of e.g., hypertension in the PM2.5-kidney association, as has been done by Bowe et al.  for diabetes. Another limitation of the included studies is the homogeneity as to the examination of ethnic (sub)populations. Additional research is required on various polluted areas and ethnic (sub)populations to thoroughly investigate the impact of PM2.5 exposure on people’s renal health  and to extrapolate the findings to the general population as suggested by different authors [15, 23, 28, 29, 33,34,35, 37, 38, 40, 52, 56]. Furthermore, a substantial limitation is the absence of personalized PM2.5 exposure measurements or relying on only residential (regional or national) exposure levels. People do not spend their entire time during the day at the home address; therefore, all locations and the time spent at each location should be considered when determining exposure estimates [22, 30, 31, 37, 39, 53]. Even though PM2.5 has a greater specific surface area to facilitate the binding of toxic compounds, the composition of PM2.5 might heavily influence the adverse effects seen following exposure and might explain the vast differences seen between studies . Residual confounding, such as smoking status, may be a limitation for determining the effects of PM2.5 exposure on an individual basis. However, when the studies treat the populations as one group, such as a time-series study, the influence of individual factors is minor. Moreover, the studies addressing the development and/or worsening of CKD did not always include comorbidity, (e.g., hypertension [36,37,38, 40]), and the stage of disease present at time of the inclusion [22, 36, 37, 39, 40, 51]. Furthermore, no studies investigated the underlying effects and mechanisms of PM2.5 exposure on specific kidney morphology and function or particulate biodistribution within the kidney. It would be interesting to investigate which structural renal components PM2.5 particles reach and potentially adversely affect.
Conclusions and Future Directions
Epidemiological research assessed within this review revealed that PM2.5 air pollution presents significant public health risks, even at exposure levels below the previous standards set by the WHO . Ran et al. [40, 52] stipulated that experimentally designed studies about the direct impact of PM2.5 on the renal system are still very limited [39, 51]. Causal evidence of the harmful effects of PM2.5 exposure on kidney function is still scarce, and the biological mechanisms of toxic action by which PM2.5 affects the kidneys or exacerbates kidney disease outcomes is not entirely elucidated until this day .
PM2.5 is an important, yet not fully recognized risk factor for kidney functioning and kidney disease outcome(s). On the other hand, because of the great variety of the investigated subpopulations, the contradictory findings, and the lack of sufficient studies addressing each subgroup of kidney disease(s), no summarizing consensus view can be reached across studies dealt within this systematic review. We conclude that more clarifying research is warranted to further elucidate the complex findings of PM2.5-linked effects on kidney function and kidney disease(s) to extrapolate the results to the general population and to evaluate the geographical variations in kidney disease(s) in the light of varying PM2.5 exposure levels.
Availability of data and materials
Data sharing is not applicable to this article as no datasets were generated or analysed during this systematic review.
Xu X, Nie S, Ding H, Hou FF. Environmental pollution and kidney diseases. Nat Rev Nephrol. 2018;14(5):313.
Arnold R, Issar T, Krishnan AV, Pussell BA. Neurological complications in chronic kidney disease. JRSM Cardiovasc Disease. 2016;5:2048004016677687.
Wang XH, Mitch WE. Mechanisms of muscle wasting in chronic kidney disease. Nat Rev Nephrol. 2014;10(9):504.
Bowe B, Xie Y, Li T, Yan Y, Xian H, Al-Aly Z. Estimates of the 2016 global burden of kidney disease attributable to ambient fine particulate matter air pollution. BMJ Open. 2019;9(5):e022450.
Lv J-C, Zhang L-X. Prevalence and disease burden of chronic kidney disease. Renal Fibrosis: Mechanisms and Therapies. 2019:3–15.
System USRD. 2020 USRDS Annual Data Report: Epidemiology of kidney disease in the United States. National Institutes of Health, National Institute of Diabetes and Digestive and Kidney Diseases, Bethesda, MD, 2020.
Loomis D, Grosse Y, Lauby-Secretan B, El Ghissassi F, Bouvard V, Benbrahim-Tallaa L, et al. The carcinogenicity of outdoor air pollution. Lancet Oncol. 2013;14(13):1262.
Elliott CT, Copes R. Burden of mortality due to ambient fine particulate air pollution (PM 2.5) in interior and Northern BC. Can J Public Health. 2011;102(5):390–3.
Shaddick G, Thomas M, Mudu P, Ruggeri G, Gumy S. Half the world’s population are exposed to increasing air pollution. NPJ Climate Atmospheric Science. 2020;3(1):1–5.
Organization WH. WHO global air quality guidelines: particulate matter (PM2. 5 and PM10), ozone, nitrogen dioxide, sulfur dioxide and carbon monoxide: executive summary. 2021.
Nemmar A, Hoet PM, Vanquickenborne B, Dinsdale D, Thomeer M, Hoylaerts M, et al. Passage of inhaled particles into the blood circulation in humans. Circulation. 2002;105(4):411–4.
Bové H, Bongaerts E, Slenders E, Bijnens EM, Saenen ND, Gyselaers W, et al. Ambient black carbon particles reach the fetal side of human placenta. Nature Communications. 2019;10(1):1–7.
Maher BA, Ahmed IA, Karloukovski V, MacLaren DA, Foulds PG, Allsop D, et al. Magnetite pollution nanoparticles in the human brain. Proc Natl Acad Sci. 2016;113(39):10797-801.
Saenen ND, Bové H, Steuwe C, Roeffaers MB, Provost EB, Lefebvre W, et al. Children’s urinary environmental carbon load. A novel marker reflecting residential ambient air pollution exposure? Am J Respir Crit Care Med. 2017;196(7):873–81.
Zhao Y, Cai J, Zhu X, van Donkelaar A, Martin RV, Hua J, et al. Fine particulate matter exposure and renal function: A population-based study among pregnant women in China. Environ Int. 2020;141:105805.
Finn WF. Renal response to environmental toxics. Environ Health perspectives. 1977;20:15–26.
Moher D, Weeks L, Ocampo M, Seely D, Sampson M, Altman DG, et al. Describing reporting guidelines for health research: a systematic review. J Clin Epidemiol. 2011;64(7):718–42.
Becherucci F, Roperto RM, Materassi M, Romagnani P. Chronic kidney disease in children. Clin Kidney J. 2016;9(4):583–91.
Čukuranović R, Vlajković S. Age related anatomical and functional characteristics of human kidney. Organ. 2005;7:14.
Wells G, Shea B, O’connell D, Peterson J, Welch V, Losos M, et al. The Newcastle-Ottawa Scale (NOS) for Assessing the Quality of Nonrandomized Studies in Meta-Analyses. Ottawa Health Research Institute: Ottawa, Ontario, 2010. 2015.
Fang J, Tang S, Zhou J, Zhou J, Cui L, Kong F, et al. Associations between Personal PM2. 5 Elemental Constituents and Decline of Kidney Function in Older Individuals: the China BAPE Study. Environ Sci Technol. 2020;54(20):13167–74.
Blum MF, Surapaneni A, Stewart JD, Liao D, Yanosky JD, Whitsel EA, et al. Particulate Matter and Albuminuria, Glomerular Filtration Rate, and Incident CKD. Clin J Am Soc Nephrol. 2020;15(3):311–9.
Mehta AJ, Zanobetti A, Bind MA, Kloog I, Koutrakis P, Sparrow D, et al. Long-Term Exposure to Ambient Fine Particulate Matter and Renal Function in Older Men: The Veterans Administration Normative Aging Study. Environ Health Perspect. 2016;124(9):1353–60.
Li A, Mei Y, Zhao M, Xu J, Li R, Zhao J, et al. Associations between air pollutant exposure and renal function: A prospective study of older adults without chronic kidney disease. Environ Pollut. 2021;277:116750.
Feng Y, Thijs L, Zhang Z-Y, Bijnens EM, Yang W-Y, Wei F-F, et al. Glomerular Function in Relation to Fine Airborne Particulate Matter in a Representative Population Sample. 2021.
Li Q, Wang Y-Y, Guo Y, Zhou H, Wang Q-M, Shen H-P, et al. Association between airborne particulate matter and renal function: An analysis of 2.5 million young adults. Environ Int. 2021;147:106348.
Gao X, Koutrakis P, Coull B, Lin X, Vokonas P, Schwartz J, et al. Short-term exposure to PM2. 5 components and renal health: Findings from the Veterans Affairs Normative Aging Study. J Hazard Mater. 2021;420:126557.
Chuang KJ, Pan CH, Su CL, Lai CH, Lin WY, Ma CM, et al. Urinary neutrophil gelatinase-associated lipocalin is associated with heavy metal exposure in welding workers. Sci Rep. 2015;5:18048.
Weaver AM, Wang Y, Wellenius GA, Young B, Boyle LD, Hickson DA, et al. Long-term exposure to ambient air pollution and renal function in African Americans: the Jackson Heart Study. J Expo Sci Environ Epidemiol. 2019;29(4):548.
Xu X, Wang G, Chen N, Lu T, Nie S, Xu G, et al. Long-Term Exposure to Air Pollution and Increased Risk of Membranous Nephropathy in China. J Am Soc Nephrol. 2016;27(12):3739–46.
Lin S-Y, Hsu W-H, Lin C-L, Lin C-C, Lin C-H, Wang I, et al. Association of exposure to fine-particulate air pollution and acidic gases with incidence of nephrotic syndrome. Int J Environ Res Public Health. 2018;15(12):2860.
Gu J, Shi Y, Zhu Y, Chen N, Wang H, Zhang Z, et al. Ambient air pollution and cause-specific risk of hospital admission in China: A nationwide time-series study. PLoS Med. 2020;17(8):e1003188.
Bernatsky S, Fournier M, Pineau CA, Clarke AE, Vinet E, Smargiassi A. Associations between ambient fine particulate levels and disease activity in patients with systemic lupus erythematosus (SLE). Environ Health Perspect. 2011;119(1):45–9.
Bowe B, Xie Y, Yan Y, Xian H, Al-Aly Z. Diabetes Minimally Mediated the Association Between PM(2.5) Air Pollution and Kidney Outcomes. Sci Rep. 2020;10(1):4586.
Chin WS, Chang YK, Huang LF, Tsui HC, Hsu CC, Guo YL. Effects of long-term exposure to CO and PM(2.5) on microalbuminuria in type 2 diabetes. Int J Hyg Environ Health. 2018;221(4):602–8.
Bragg-Gresham J, Morgenstern H, McClellan W, Saydah S, Pavkov M, Williams D, et al. County-level air quality and the prevalence of diagnosed chronic kidney disease in the US Medicare population. PLoS ONE. 2018;13(7).
Chan TC, Zhang Z, Lin BC, Lin C, Deng HB, Chuang YC, et al. Long-term exposure to ambient fine particulate matter and chronic kidney disease: A cohort study. Environ Health Perspectives. 2018;126(10).
Chen SY, Chu DC, Lee JH, Yang YR, Chan CC. Traffic-related air pollution associated with chronic kidney disease among elderly residents in Taipei City. Environ Pollut. 2018;234:838–45.
Lin SY, Ju SW, Lin CL, Hsu WH, Lin CC, Ting IW, et al. Air pollutants and subsequent risk of chronic kidney disease and end-stage renal disease: A population-based cohort study. Environ Pollut. 2020;261:114154.
Ran J, Sun S, Han L, Zhao S, Chen D, Guo F, et al. Fine particulate matter and cause-specific mortality in the Hong Kong elder patients with chronic kidney disease. Chemosphere. 2020;247:125913.
Wang W, Wu C, Mu Z, Gu Y, Zheng Y, Ren L, et al. Effect of ambient air pollution exposure on renal dysfunction among hospitalized patients in Shanghai, China. Public Health. 2020;181:196–201.
Yang YR, Chen YM, Chen SY, Chan CC. Associations between Long-Term Particulate Matter Exposure and Adult Renal Function in the Taipei Metropolis. Environ Health Perspect. 2017;125(4):602–7.
Jung J, Park JY, Kim YC, Lee H, Kim E, Kim YS, et al. Effects of air pollution on mortality of patients with chronic kidney disease: A large observational cohort study. Sci Total Environment. 2021;786:147471.
Ghazi L, Drawz PE, Berman JD. The association between fine particulate matter (PM2. 5) and chronic kidney disease using electronic health record data in urban Minnesota. J Exposure Sci Environ Epidemiol. 2021:1–7.
Liang Z, Wang W, Wang Y, Ma L, Liang C, Li P, et al. Urbanization, ambient air pollution, and prevalence of chronic kidney disease: A nationwide cross-sectional study. Environ Int. 2021;156:106752.
Bo Y, Brook JR, Lin C, Chang L-y, Guo C, Zeng Y, et al. Reduced Ambient PM2. 5 Was Associated with a Decreased Risk of Chronic Kidney Disease: A Longitudinal Cohort Study. Environ Sci Technol. 2021;55(10):6876–83.
Zeng Y, Lin C, Guo C, Bo Y, Chang L-y, Lau AK, et al. Combined effects of chronic PM2. 5 exposure and habitual exercise on renal function and chronic kidney disease: A longitudinal cohort study. Int J Hyg Environ Health. 2021;236:113791.
Li G, Huang J, Wang J, Zhao M, Liu Y, Guo X, et al. Long-term exposure to ambient PM2. 5 and increased risk of CKD prevalence in China. J Am Soc Nephrol. 2021;32(2):448–58.
Kuźma Ł, Małyszko J, Bachórzewska-Gajewska H, Kralisz P, Dobrzycki S. Exposure to air pollution and renal function. Sci Rep. 2021;11(1):1–9.
Wu C-D, Chern Y-R, Pan W-C, Lung S-CC, Yao T-C, Tsai H-J, et al. Effects of surrounding environment on incidence of end stage renal disease. Sci Total Environment. 2020:137915.
Bowe B, Xie Y, Li T, Yan Y, Xian H, Al-Aly Z. Particulate matter air pollution and the risk of incident CKD and progression to ESRD. J Am Soc Nephrol. 2018;29(1):218–30.
Ran J, Yang A, Sun S, Han L, Li J, Guo F, et al. Long-Term Exposure to Ambient Fine Particulate Matter and Mortality from Renal Failure: A Retrospective Cohort Study in Hong Kong. Am J Epidemiol. 2020.
Lin Y-T, Lo Y-C, Chiang H-Y, Jung C-R, Wang C-M, Chan T-C, et al. Particulate Air Pollution and Progression to Kidney Failure With Replacement Therapy: An Advanced CKD Registry–Based Cohort Study in Taiwan. Am J Kidney Dis; 2020.
Bi J, Barry V, Weil EJ, Chang HH, Ebelt S. Short-term exposure to fine particulate air pollution and emergency department visits for kidney diseases in the Atlanta metropolitan area. Environ Epidemiol. 2021;5(4).
Feng Y, Jones MR, Chu NM, Segev DL, McAdams-DeMarco M. Ambient air pollution and mortality among older patients initiating maintenance dialysis. Am J Nephrol. 2021;52(3):217–27.
Pierotti L, Schofield SJ, Collett D, Fecht D, De Hoogh K, Hansell AL, et al. Traffic-related air pollution and solid organ transplant failure in Great Britain: A retrospective cohort study. J Transport Health. 2018;10:124–31.
Chang S-H, Merzkani M, Murad H, Wang M, Bowe B, Lentine KL, et al. Association of ambient fine particulate matter air pollution with kidney transplant outcomes. JAMA network Open. 2021;4(10):e2128190-e.
Dehom S, Knutsen S, Shavlik D, Bahjri K, Ali H, Pompe L, et al. Long-Term Exposure to Fine Particulate Matter (PM2. 5) and Cardiovascular Disease Mortality among Renal Transplant Recipients. OBM Transplantation. 2019;3(4):1-.
Feng Y, Jones MR, Ahn JB, Garonzik-Wang JM, Segev DL, McAdams‐DeMarco M. Ambient air pollution and posttransplant outcomes among kidney transplant recipients. Am J Transplant. 2021.
WHO’s global air-quality guidelines. Lancet. 2006;368(9544):1302.
Levey AS, Coresh J, Tighiouart H, Greene T, Inker LA. Measured and estimated glomerular filtration rate: current status and future directions. Nature Reviews Nephrol. 2019:1–14.
Levey AS, Stevens LA, Schmid CH, Zhang Y, Castro AF III, Feldman HI, et al. A new equation to estimate glomerular filtration rate. Ann Intern Med. 2009;150(9):604–12.
Levey AS, Bosch JP, Lewis JB, Greene T, Rogers N, Roth D. A more accurate method to estimate glomerular filtration rate from serum creatinine: a new prediction equation. Ann Intern Med. 1999;130(6):461–70.
Cheung KL, Lafayette RA. Renal physiology of pregnancy. Adv Chronic Kidney Dis. 2013;20(3):209–14.
Masson I, Flamant M, Maillard N, Rule AD, Vrtovsnik F, Peraldi M-N, et al. MDRD versus CKD-EPI equation to estimate glomerular filtration rate in kidney transplant recipients. Transplantation. 2013;95(10):1211–7.
Chen Y-W, Chen H-H, Wang T-E, Chang C-W, Chang C-W, Wu C-J. Difference between CKD-EPI and MDRD equations in calculating glomerular filtration rate in patients with cirrhosis. World J Gastroenterol. 2011;17(40):4532.
Eknoyan G, Lameire N, Eckardt K, Kasiske B, Wheeler D, Levin A, et al. KDIGO 2012 clinical practice guideline for the evaluation and management of chronic kidney disease. Kidney Int. 2013;3(1):5–14.
Bikbov B, Perico N, Abbate M, Remuzzi G. The Glomerulus: Mechanisms and Patterns of Injury. Comprehensive Toxicology: Third Edition2017. p. 189-206.
Pennemans V, De Winter LM, Munters E, Nawrot TS, Van Kerkhove E, Rigo J-M, et al. The association between urinary kidney injury molecule 1 and urinary cadmium in elderly during long-term, low-dose cadmium exposure: a pilot study. Environ Health. 2011;10(1):1–7.
Genovese F, Manresa AA, Leeming DJ, Karsdal MA, Boor P. The extracellular matrix in the kidney: a source of novel non-invasive biomarkers of kidney fibrosis? Fibrogenesis Tissue Repair. 2014;7(1):4.
Lamb EJ, Path F, Price CP. 21 Kidney Function Tests—Creatinine, Urea, and Uric Acid. Tietz Fundamentals of Clinical Chemistry and Molecular Diagnostics-E-Book. 2014:364.
Shlipak MG, Matsushita K, Ärnlöv J, Inker LA, Katz R, Polkinghorne KR, et al. Cystatin C versus creatinine in determining risk based on kidney function. N Engl J Med. 2013;369(10):932–43.
Argyropoulos CP, Chen SS, Ng Y-H, Roumelioti M-E, Shaffi K, Singh PP, et al. Rediscovering beta-2 microglobulin as a biomarker across the spectrum of kidney diseases. Front Med. 2017;4:73.
Penders J, Delanghe JR. Alpha 1-microglobulin: clinical laboratory aspects and applications. Clin Chimica Acta. 2004;346(2):107–18.
Norden AG, Lapsley M, Unwin RJ. Urine retinol-binding protein 4: a functional biomarker of the proximal renal tubule. Adv Clin Chem. 2014;63:85–122.
Ronco P, Debiec H. Pathophysiological advances in membranous nephropathy: time for a shift in patient’s care. Lancet. 2015;385(9981):1983–92.
Bernatsky S, Smargiassi A, Johnson M, Kaplan GG, Barnabe C, Svenson L, et al. Fine particulate air pollution, nitrogen dioxide, and systemic autoimmune rheumatic disease in Calgary. Alberta Environ Res. 2015;140:474–8.
Faustini A, Renzi M, Kirchmayer U, Balducci M, Davoli M, Forastiere F. Short-term exposure to air pollution might exacerbate autoimmune diseases. Environ Epidemiol. 2018;2(3):e025.
Darrow LA, Klein M, Flanders WD, Mulholland JA, Tolbert PE, Strickland MJ. Air pollution and acute respiratory infections among children 0–4 years of age: an 18-year time-series study. Am J Epidemiol. 2014;180(10):968–77.
Zhao J, Li M, Wang Z, Chen J, Zhao J, Xu Y, et al. Role of PM 2.5 in the development and progression of COPD and its mechanisms. Respir Res. 2019;20(1):120.
Long M-h, Zhang C, Xu D-q, Fu W-l, Gan X-d, Li F, et al. PM2. 5 aggravates diabetes via the systemically activated IL-6-mediated STAT3/SOCS3 pathway in rats’ liver. Environ Pollut. 2020;256:113342.
Heck TG, Fiorin PBG, Frizzo MN, Ludwig MS. Fine Particulate Matter (PM2. 5) Air Pollution and Type 2 Diabetes Mellitus (T2DM): When Experimental Data Explains Epidemiological Facts. Diabetes Complications. 2018:71.
Pecoits-Filho R, Abensur H, Betônico CC, Machado AD, Parente EB, Queiroz M, et al. Interactions between kidney disease and diabetes: dangerous liaisons. Diabetol Metab Syndr. 2016;8(1):50.
Xu X, Liu C, Xu Z, Tzan K, Zhong M, Wang A, et al. Long-term exposure to ambient fine particulate pollution induces insulin resistance and mitochondrial alteration in adipose tissue. Toxicol Sci. 2011;124(1):88–98.
Zelnick LR, Weiss NS, Kestenbaum BR, Robinson-Cohen C, Heagerty PJ, Tuttle K, et al. Diabetes and CKD in the United States population, 2009–2014. Clin J Am Soc Nephrol. 2017;12(12):1984–90.
Go AS, Chertow GM, Fan D, McCulloch CE, Hsu C-y. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N Engl J Med. 2004;351(13):1296–305.
Kundu S, Stone EA. Composition and sources of fine particulate matter across urban and rural sites in the Midwestern United States. Environ Sci Proc Impacts. 2014;16(6):1360–70.
Zhang Z, Chang L-y, Lau AK, Chan T-C, Chieh Chuang Y, Chan J, et al. Satellite-based estimates of long-term exposure to fine particulate matter are associated with C-reactive protein in 30 034 Taiwanese adults. Int J Epidemiol. 2017;46(4):1126–36.
Pugh D, Gallacher PJ, Dhaun N. Management of hypertension in chronic kidney disease. Drugs. 2019;79(4):365–79.
Hodgkins KS, Schnaper HW. Tubulointerstitial injury and the progression of chronic kidney disease. Pediatric Nephrol. 2012;27(6):901–9.
Pandey P, Patel D, Khan A, Barman S, Murthy R, Kisku G. Temporal distribution of fine particulates (PM2. 5, PM10), potentially toxic metals, PAHs and Metal-bound carcinogenic risk in the population of Lucknow City, India. J Environ Sci Health Part A. 2013;48(7):730–45.
The authors acknowledge funding from the Special Research Fund (BOF) from Hasselt University granted to LR (BOF20DOC15) and the Flemish Scientific Research Foundation (FWO) funding granted to KVB (G059219N). BOF and FWO had no role in the design, conduct, and preparation of the manuscript.
Ethics approval and consent to participate
Consent for publication
The authors declare that they have no competing interests.
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
Risk of bias analysis performed according to the Newcastle-Ottawa scale. Crosses (×) indicate the allocation of a point in the scale; The minus sign (-) indicates the failure to accommodate the subject(s) discussed. Ascertainment of exposure checks the derivation of the exposure measurements (×) and the demonstration that the outcome of interest was not present at the start of the study (×). Comparability encompasses the presence of the main confounder age (×) and any additional confounder(s) (×) respectively. Articles were considered to have a high risk of bias below 4 points, a medium risk of bias below 6 points, and a low risk of bias above or equal to 6 points.
About this article
Cite this article
Rasking, L., Vanbrabant, K., Bové, H. et al. Adverse Effects of fine particulate matter on human kidney functioning: a systematic review. Environ Health 21, 24 (2022). https://doi.org/10.1186/s12940-021-00827-7