Type 2 diabetes attributable to ambient particulate matter pollution: a global burden study from 1990 to 2019 DOI Creative Commons
Yuyi Sha, Shuai Wang

Frontiers in Public Health, Journal Year: 2024, Volume and Issue: 12

Published: May 20, 2024

This study assesses the changes over time and geographical locations in disease burden of type 2 diabetes (T2D) attributed to ambient particulate matter pollution (APMP) from 1990 2019 204 countries regions with different socio-demographic indexes (SDI).

Language: Английский

Interactions of antimony with biomolecules and its effects on human health DOI Creative Commons

Ziyang Lai,

Mengchang He, Chunye Lin

et al.

Ecotoxicology and Environmental Safety, Journal Year: 2022, Volume and Issue: 233, P. 113317 - 113317

Published: Feb. 16, 2022

Antimony (Sb) pollution has increased health risks to humans as a result of extensive application in diverse fields. Exposure different levels Sb and its compounds will directly or indirectly affect the normal function human body, whereas limited data simulation studies delay understanding this element. In review, we summarize current research on effects from perspectives. First, exposure pathways, concentration excretion are briefly introduced, several have revealed that high cause higher concentrations body tissues. Second, interactions between biomolecules other nonbiomolecules affected biochemical processes such gene expression hormone secretion, which vital for causing mechanisms. Finally, discuss at biological level small molecules individual. conclusion, increase risk disease by affecting cell signaling pathways. addition, appropriate form dose contribute inhibit development specific diseases. Key challenges gaps toxicity benefit mechanisms still hinder assessment also identified review. Systematic relationships process needed.

Language: Английский

Citations

59
Type 2 diabetes attributable to PM2.5: A global burden study from 1990 to 2019 DOI Creative Commons
Ce Liu, Bo Wang, Shang Liu

et al.

Environment International, Journal Year: 2021, Volume and Issue: 156, P. 106725 - 106725

Published: June 23, 2021

Long-term exposure to fine particulate matter (PM2.5) is associated with an increased risk of type 2 diabetes (T2D). However, limited data on trends in the global burden T2D attributed PM2.5, particularly different regions by social-economic levels. We evaluated spatio-temporal changes disease PM2.5 from 1990 2019 204 countries and socio-demographic indexes (SDI). This a retrospective analysis Global Burden Disease Study (GBD2019) database. The age-standardized mortality rate (ASMR) disability-adjusted life year (ASDR) were estimated according sex, age, nationality SDI. annual percentage change (APCs) average (AAPCs) calculated using Joinpoint model evaluate changing trend ASMR ASDR 2019. Gaussian process regression was used estimate relationship SDI ASDR. Overall, attributable significantly since 1990, elderly, men, Africa, Asia low-middle regions. 2.47 (95% CI: 1.71, 3.24) per 100,000 population 108.98 74.06, 147.23) population, respectively. From 2019, 57.32% 86.75%, AAPCs 1.57 1.46, 1.68) 2.17 2.02, 2.32), Declining observed North America, South Europe, Australia, other high Over this 30-years study, has remains great concern diabetes.

Language: Английский

Citations

52
Associations of multiple metals with bone mineral density: A population-based study in US adults DOI

Muhong Wei,

Yuan Cui, Hao‐Long Zhou

et al.

Chemosphere, Journal Year: 2021, Volume and Issue: 282, P. 131150 - 131150

Published: June 11, 2021

Language: Английский

Citations

48
Associations between multiple heavy metals exposure and glycated hemoglobin in a Chinese population DOI Creative Commons
Jiansheng Cai, You Li,

Shuzhen Liu

et al.

Chemosphere, Journal Year: 2021, Volume and Issue: 287, P. 132159 - 132159

Published: Sept. 3, 2021

Heavy metals may play an important role as environmental risk factors in diabetes mellitus. This study aimed to explore the association of HbA1c with As, Cd, Cu, Ni, Pb, and Zn single-metal exposure multi-metal co-exposure models. A cross-sectional involving 3472 participants was conducted. Plasma concentrations heavy were determined by inductively coupled plasma mass spectrometry. We estimated each metal linear regression. Potential heterogeneities sex, age, smoking investigated, mixtures interactions assessed Bayesian kernel machine regression (BKMR). In regression, Cu (β = 0.324, p < 0.05) Ni −0.19, showed significant all participants. BKMR analyses, exposure–response relationships approximately linear. significantly positively associated levels overall participants, women, aged 60 years old above, nonsmokers. negatively did not observe effect on or interaction HbA1c. correlated HbA1c, whereas when evaluated individually a mixture. Additional studies are necessary confirm these correlations control for different general population.

Language: Английский

Citations

47
Associations of multiple metals with lung function in welders by four statistical models DOI

Luli Wu,

Fengtao Cui, Junxiang Ma

et al.

Chemosphere, Journal Year: 2022, Volume and Issue: 298, P. 134202 - 134202

Published: March 4, 2022

Language: Английский

Citations

33
Co-exposure to perfluoroalkyl acids and heavy metals mixtures associated with impaired kidney function in adults: A community-based population study in China DOI
Fan Su, Mohammed Zeeshan,

Lihua Xiong

et al.

The Science of The Total Environment, Journal Year: 2022, Volume and Issue: 839, P. 156299 - 156299

Published: May 26, 2022

Language: Английский

Citations

25
Relationship of multiple metals mixture and osteoporosis in older Chinese women: An aging and longevity study DOI
Xiuming Feng,

Gaohui Zan,

Yue Wei

et al.

Environmental Pollution, Journal Year: 2022, Volume and Issue: 317, P. 120699 - 120699

Published: Nov. 17, 2022

Language: Английский

Citations

24
Associations between prenatal multiple plasma metal exposure and newborn telomere length: Effect modification by maternal age and infant sex DOI
Peng Tang, Wanting He, Yantao Shao

et al.

Environmental Pollution, Journal Year: 2022, Volume and Issue: 315, P. 120451 - 120451

Published: Oct. 18, 2022

Language: Английский

Citations

22
Sex‐specific and dose‐response relationships of urinary cobalt and molybdenum levels with glucose levels and insulin resistance in U.S. adults DOI Creative Commons
Jing Yang, Yongbin Lu, Yana Bai

et al.

Journal of Environmental Sciences, Journal Year: 2022, Volume and Issue: 124, P. 42 - 49

Published: Feb. 1, 2022

Language: Английский

Citations

17
Associations of combined exposure to selected metal mixtures with thyroid hormones in children: a cross-sectional study in China DOI Creative Commons
Yuhan Cao, Shiting Xiang, Yuwei Du

et al.

Frontiers in Public Health, Journal Year: 2025, Volume and Issue: 13

Published: Jan. 22, 2025

Background Exposure to several metal elements has been found be associated with thyroid hormone homeostasis. However, evidence for combined exposure is inconclusive, especially children. Objective To examine the individual and joint effects of blood on hormones in Methods A total 12,470 children aged 0–14 were collected from January 2018 December 2021 Hunan Children's Hospital. The concentrations lead (Pb), iron (Fe), calcium (Ca), copper (Cu), zinc (Zn) magnesium (Mg) detected via atomic absorption spectrometry (AAS). levels stimulating (TSH), triiodothyronine (TT3, FT3) free thyroxine (TT4, FT4) measured by electrochemiluminescence immunoassay (ECLIA). Generalized linear regression (GLR) model Quantile-based g-computation (QGC) employed estimate association between Results GLR showed that a unit increase ln-transformed Fe was increases TT3 (β = 0.163; P FDR &lt; 0.001), TT4 12.255; 0.001) FT3 0.615; as well decreases TSH −0.471; 0.005) FT4 −1.938; 0.001). result QGC analysis indicated positive relationship concentration mixture 0.018; 0.012), 2.251; 0.074; predominant contributor among contributions (weight 0.439), 0.502) 0.450). Conclusions increased TT3, TT4, appeared major contributor. Further studies are warranted confirm our findings elucidate underlying mechanisms.

Language: Английский

Citations

0