Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/35887
Title: Glomerular function in relation to fine airborne particulate matter in a representative population sample
Authors: Feng, YM
Thijs, L
Zhang , ZY
BIJNENS, Esmee 
Yang, WY
Wei, FF
JANSSEN, Bram 
NAWROT, Tim 
Staessen, JA
Issue Date: 2021
Publisher: NATURE RESEARCH
Source: Scientific reports (Nature Publishing Group), 11 (1) (Art N° 14646)
Abstract: From 1990 until 2017, global air-pollution related mortality increased by 40%. Few studies addressed the renal responses to ultrafine particulate [<= 2.5 mu m (PM2.5)], including black carbon (BC), which penetrate into the blood stream. In a Flemish population study, glomerular filtration estimated from serum creatinine (eGFR) and the urinary albumin-to-creatinine ratio were measured in 2005-2009 in 820 participants (women, 50.7%; age, 51.1 years) with follow-up of 523 after 4.7 years (median). Serum creatinine, eGFR, chronic kidney disease (eGFR<60 mL/min/1.73 m(2)) and microalbuminuria (>3.5/>2.5 mg per mmol creatinine in women/men) were correlated in individual participants via their residential address with PM2.5 [median 13.1 (range 0.3-2.9) mu g/m(3)] and BC [1.1 (0.3-18) mu g/m(3)], using mixed models accounting for address clusters. Cross-sectional and longitudinally, no renal outcome was associated with PM2.5 or BC in models adjusted for sex and baseline or time varying covariables, including age, blood pressure, heart rate, body mass index, plasma glucose, the total-to-HDL serum cholesterol ratio, alcohol intake, smoking, physical activity, socioeconomic class, and antihypertensive treatment. The subject-level geocorrelations of eGFR change with to BC and PM2.5 were 0.13 and 0.02, respectively (P >= 0.68). In conclusion, in a population with moderate exposure, renal function was unrelated to ultrafine particulate.
Document URI: http://hdl.handle.net/1942/35887
ISSN: 2045-2322
e-ISSN: 2045-2322
DOI: 10.1038/s41598-021-94136-1
ISI #: 000675839300013
Rights: The Author(s) 2021 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.
Category: A1
Type: Journal Contribution
Validations: ecoom 2022
Appears in Collections:Research publications

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