Associations of exposure to multiple metals with the risk of age-related cataract in Anhui, China: a case–control study

Li, Yanqing; Wang, Qian; Liu, Ran; Li, Guo-Ao; He, Jiaxue; Huang, Fen; Zhou, Yanfeng

doi:10.1007/s11356-022-22494-y

Cited by 4 publications

(3 citation statements)

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“…Urinary Cr reference values in the general unexposed population have been reported to range from 0.04 to 1.5 µg/L [100,101]. Notably, two Chinese studies conducted on presumably unexposed populations reported high urinary Cr concentrations, namely, P75: 45.12 µg/L [83] and P75: 36.25 [86], which are not comparable to other unexposed populations. Regarding the exposed population in Jianzhou province, China, urinary Cr levels differed from the rest of the studied populations, as the 75th percentiles were found to vary from 4.76 to 5.70 µg/L [65,66,77], possibly as an indicator of the high exposure of this population.…”

Section: Discussionmentioning

confidence: 98%

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Human Health Effects of Oral Exposure to Chromium: A Systematic Review of the Epidemiological Evidence

Sazakli

2024

IJERPH

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The toxicity and carcinogenicity of hexavalent chromium via the inhalation route is well established. However, a scientific debate has arisen about the potential effects of oral exposure to chromium on human health. Epidemiological studies evaluating the connection between ingested chromium and adverse health effects on the general population are limited. In recent years, a wealth of biomonitoring studies has emerged evaluating the associations between chromium levels in body fluids and tissues and health outcomes. This systematic review brings together epidemiological and biomonitoring evidence published over the past decade on the health effects of the general population related to oral exposure to chromium. In total, 65 studies were reviewed. There appears to be an inverse association between prenatal chromium exposure and normal fetal development. In adults, parameters of oxidative stress and biochemical alterations increase in response to chromium exposure, while effects on normal renal function are conflicting. Risks of urothelial carcinomas cannot be overlooked. However, findings regarding internal chromium concentrations and abnormalities in various tissues and systems are, in most cases, controversial. Environmental monitoring together with large cohort studies and biomonitoring with multiple biomarkers could fill the scientific gap.

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Section: Discussionmentioning

confidence: 98%

“…Urinary Cr levels were positively associated with age-related cataract (ARC) in a Chinese case control study [86]. Cataract is the leading cause among many blind eye diseases in the world.…”

Section: • Cr and Other Health Outcomesmentioning

confidence: 99%

Human Health Effects of Oral Exposure to Chromium: A Systematic Review of the Epidemiological Evidence

Sazakli

2024

IJERPH

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“…This is not only due to the source of the test samples and differences among the surveyed populations, but also because the MR analysis initially presumes a linear relationship between exposure and outcome, while the crosssectional study suggests a nonlinear relationship between the two. To date, no researchers have investigated the association between Ba exposure and DKD, and several studies have demonstrated that Ba exposure is a risk factor for diabetes and renal function decline [35][36][37][38][39] . Research has demonstrated that several metal elements, including Ba, may be linked with a higher eGFR in early pregnancy [40] .…”

Section: Discussionmentioning

confidence: 99%

Association between machine learning-assisted heavy metal exposures and diabetic kidney disease: A Cross-Sectional Survey and Mendelian Randomization Analysis

Zhao,

Lin,

Han

et al. 2024

Preprint

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Background & objective: Heavy metals, ubiquitous in the environment, pose a global public health concern. The correlation between these and diabetic kidney disease (DKD) remains unclear. Methods: We analyzed data from the NHANES (2005–2020), using machine learning, and cross-sectional survey. Our study also involved a bidirectional two-sample Mendelian randomization (MR) analysis. Results: Machine learning reveals correlation coefficients of -0.5059 and − 0.6510 for urinary Ba and urinary Tl with DKD, respectively. Multifactorial logistic regression implicates urinary Ba, urinary Pb, blood Cd, and blood Pb as potential associates of DKD. When adjusted for all covariates, the odds ratios and 95% confidence intervals are 0.87 (0.78, 0.98) (P = 0.023), 0.70 (0.53, 0.92) (P = 0.012), 0.53 (0.34, 0.82) (P = 0.005), and 0.76 (0.64, 0.90) (P = 0.002) in order. Furthermore, multiplicative interactions between urinary Ba and urinary Sb, urinary Cd and urinary Co, urinary Cd and urinary Pb, and blood Cd and blood Hg might be present. Among the diabetic population, the OR of urinary Tl with DKD is a mere 0.10, with a 95%CI of (0.01, 0.74), urinary Co 0.73 (0.54, 0.98) in Model 3, and urinary Pb 0.72 (0.55, 0.95) in Model 2. Restricted Cubic Splines (RCS) indicate a linear linkage between blood Cd in the general population and urinary Co, urinary Pb, and urinary Tl with DKD among diabetics. An observable trend effect is present between urinary Pb and urinary Tl with DKD. MR analysis reveals odds ratios and 95% confidence intervals of 1.16 (1.03,1.32) (P = 0.018) and 1.17 (1.00,1.36) (P = 0.044) for blood Cd and blood Mn, respectively. Conclusions: In the general population, urinary Ba demonstrates a nonlinear inverse association with DKD, whereas in the diabetic population, urinary Tl displays a linear inverse relationship with DKD.

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Divulging the dust: An examination of particle deposition on soft ocular lens during urban commuting

Muruganandam,

Narayanan

2023

Chemosphere

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Associations of exposure to multiple metals with the risk of age-related cataract in Anhui, China: a case–control study

Cited by 4 publications

References 58 publications

Human Health Effects of Oral Exposure to Chromium: A Systematic Review of the Epidemiological Evidence

Human Health Effects of Oral Exposure to Chromium: A Systematic Review of the Epidemiological Evidence

Association between machine learning-assisted heavy metal exposures and diabetic kidney disease: A Cross-Sectional Survey and Mendelian Randomization Analysis

Divulging the dust: An examination of particle deposition on soft ocular lens during urban commuting

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