Metal mixture exposure and the risk of osteopenia or osteoporosis: Baseline Data from the Chinese Multi-Ethnic Cohort (CMEC) Study DOI Creative Commons

yuxin zhang,

Cheng Chen,

Shenyan Wu

et al.

Research Square (Research Square), Journal Year: 2023, Volume and Issue: unknown

Published: Dec. 6, 2023

Abstract Osteoporosis is emerging as a growing public health concern worldwide due to the aging population, and metal exposure widely recognized risk factor for human health. However, studies on relationship between bone yield inconsistent results. Limited epidemiological research exists associations of mixtures with osteopenia osteoporosis, particularly among ethnic minorities in China. We conducted study 9206 Chinese (Dong Miao) aged 30–79 years using data from Multi-Ethnic Cohort Study (CMCS) baseline survey database. utilized inductively coupled plasma mass spectrometry (ICP-MS) measure concentrations 11 metals urine quantitative ultrasound mineral density (BMD). Multivariate logistic regression model, Quantile g-computation Principal component analysis were used explore correlation single-metal mixture osteoporosis. In urinary As, Cd, Cr, Fe, Hg Mn positively associated osteopenia. Conversely, Co Zn negatively Urinary Cr while V was addition, g-comptation showed that identified principal 1, characterized by Fe Mn, 3, These findings suggest co-exposure polymetals affects occurrence development warranting further investigation into complex mechanisms involved.

Language: Английский

Analysis of the association between mixed exposure to multiple metals and comorbidity of osteopenia or osteoporosis: baseline data from the Chinese Multi-Ethnic Cohort study (CMEC) DOI Creative Commons
Yuxin Zhang,

Cheng Chen,

Shenyan Wu

et al.

BMC Public Health, Journal Year: 2025, Volume and Issue: 25(1)

Published: Feb. 19, 2025

Both osteoporosis and metal exposure are well-recognized public health concerns globally, particularly in the aging population. However, studies investigating relationship between bone conditions such as osteopenia have either produced inconsistent results or scarce, especially among ethnic minorities China. Herein, we correlated single-metal mixture with using a log-binomial regression model quantile g-computation. In total, 9,206 Chinese individuals (Dong Miao) aged 30–79 years were investigated this study utilizing baseline data from multi-ethnic cohort study. model, urinary concentrations of arsenic (As), cadmium (Cd), chromium (Cr), iron(Fe), mercury(Hg), manganese (Mn) positively associated osteopenia, whereas those cobalt(Co) zinc(Zn) negatively associated. Additionally, As, Cd, Cr, Mn osteoporosis, that vanadium(V) was Furthermore, Quantile g-computation indicated both osteoporosis. Altogether, these findings suggest simultaneous to multiple metals can affect health, providing theoretical basis for further on underlying complex mechanisms.

Language: Английский

Citations

1
The association between serum magnesium and chronic kidney disease in Chinese adults: a cross-sectional study DOI Creative Commons

Jing-Zhi Xie,

Yuanyuan Huang,

Xiao-Feng Zheng

et al.

BMC Public Health, Journal Year: 2024, Volume and Issue: 24(1)

Published: Jan. 15, 2024

Abstract Background Magnesium (Mg) is both an essential macro-element and a known catalyst, it plays vital role in various physiological activities mechanisms relation to chronic kidney disease (CKD). However, epidemiological evidence involving this limited not entirely consistent. This study aims explore the association of serum Mg concentrations with risk CKD among general Chinese adults. Methods A total 8,277 adults were included wave 2009 from China Health Nutrition Survey (CHNS). The primary outcome was CKD, which defined as estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m 2 . Multivariable logistic regression model used examine relationship CKD. Results Included individuals, overall prevalence 11.8% ( n = 977). Compared first quartile Mg, multivariable-adjusted odds ratios (ORs) 95% confidence intervals (CIs) for participants second, third, fourth quartiles 0.74 (0.58, 0.93), 0.87 (0.69, 1.11) 1.29 (1.03, 1.61), respectively. Similar results observed our several sensitivity analyses. Restricted cubic spline analysis demonstrated nonlinear (similar “J”-shaped) between P nonlinearity <0.001), threshold at around value 2.2 mg/dL. Conclusions Our suggested similar “J”-shaped concentration Further large prospective studies are needed verify these findings.

Language: Английский

Citations

4
Deciphering the complex interplay of risk factors in type 2 diabetes mellitus: A comprehensive review DOI Creative Commons
Samradhi Singh, Mona Kriti,

Anamika K.S.

et al.

Metabolism Open, Journal Year: 2024, Volume and Issue: 22, P. 100287 - 100287

Published: May 19, 2024

The complex and multidimensional landscape of type 2 diabetes mellitus (T2D) is a major global concern. Despite several years extensive research, the precise underlying causes T2D remain elusive, but evidence suggests that it influenced by myriad interconnected risk factors such as epigenetics, genetics, gut microbiome, environmental factors, organelle stress, dietary habits. number influencing pathogenesis increasing day which worsens scenario; meanwhile, interconnections shoot up frame. By gaining deeper insights into contributing we may pave way for development personalized medicine, could unlock more impactful treatment pathways individuals with T2D. This review summarizes state knowledge about pathogenesis, focusing on interplay between various their implications future therapeutic strategies. Understanding these lead to tailored treatments targeting specific inform prevention efforts population level, ultimately improving outcomes reducing its burden globally.

Language: Английский

Citations

4
Toxic metals impact gut microbiota and metabolic risk in five African-origin populations DOI Creative Commons
Julianne Jorgensen, Candice Choo-Kang, Luyu Wang

et al.

Gut Microbes Reports, Journal Year: 2025, Volume and Issue: 2(1), P. 1 - 15

Published: April 9, 2025

Language: Английский

Citations

0
Mechanisms of Metal Ion-Mediated “Inflammation-Repair” Dynamic Regulatory Network and Related Biomimetic Material Design Strategies DOI

子煜 黄

Advances in Clinical Medicine, Journal Year: 2025, Volume and Issue: 15(05), P. 1246 - 1257

Published: Jan. 1, 2025

Language: Английский

Citations

0
Effects of multi‐metal exposure on the risk of diabetes mellitus among people aged 40–75 years in rural areas in southwest China DOI
Jing Zhang, Huanhuan Yin, Xuemei Zhu

et al.

Journal of Diabetes Investigation, Journal Year: 2022, Volume and Issue: 13(8), P. 1412 - 1425

Published: March 27, 2022

Metals play an important role in diabetes mellitus. This cross-sectional study aimed to evaluate the overall, individual and interactive effects of multi-metal exposure on prevalence mellitus, impaired fasting glucose (IFG) rate blood (FBG) levels.

Language: Английский

Citations

14
Associations of metals and metal mixtures with glucose homeostasis: A combined bibliometric and epidemiological study DOI
Kai Li,

Yisen Yang,

Jiaxin Zhao

et al.

Journal of Hazardous Materials, Journal Year: 2024, Volume and Issue: 470, P. 134224 - 134224

Published: April 5, 2024

Language: Английский

Citations

2
Correlation and interaction between urinary metals level and diabetes: A cross sectional study of community-dwelling elderly DOI
Rui Wang,

Pei He,

Siyu Duan

et al.

Exposure and Health, Journal Year: 2023, Volume and Issue: 16(2), P. 559 - 574

Published: July 14, 2023

Language: Английский

Citations

6
Recent Progress in Saliva-Based Sensors for Continuous Monitoring of Heavy Metal Levels Linked with Diabetes and Obesity DOI Creative Commons
Liliana Anchidin-Norocel, Wesley K. Savage, Alexandru Nemţoi

et al.

Chemosensors, Journal Year: 2024, Volume and Issue: 12(12), P. 269 - 269

Published: Dec. 19, 2024

Sensors are versatile technologies that provide rapid and efficient diagnostic results, making them invaluable tools in public health for measuring monitoring community exposure to environmental contaminants. Heavy metals such as lead, mercury, cadmium, commonly found food water, can accumulate the body have toxic effects, contributing development of conditions like obesity diabetes. Traditional methods detecting these often require invasive blood samples; however, sensors utilize saliva, offering a noninvasive simplified approach screening. The use saliva fluid represents major advance population due its low cost, noninvasiveness, ease collection. Recent advances sensor technology enabled tests link heavy metal levels with risk developing Optimizing could facilitate identification individuals or groups at risk, enabling targeted, personalized preventive measures. hold promise diagnosing preventing metabolic diseases, providing valuable insights into between health.

Language: Английский

Citations

2
Multimetal exposure: Challenges in diagnostics, prevention, and treatment DOI

Archna Panghal,

Ashima Thakur,

Monika S. Deore

et al.

Journal of Biochemical and Molecular Toxicology, Journal Year: 2024, Volume and Issue: 38(6)

Published: May 20, 2024

Abstract Extensive use of heavy metals has posed a serious concern for ecosystem and human too. Heavy are toxic in nature their accumulation body causes disorders such as neurological disease, cardiac gastrointestinal problems, skin disorders, reproductive lungs diseases, so on. Furthermore, not only affect the health but also have negative impact on economy. In current review, we elaborated metal exposure socioeconomics. We discussed molecular mechanism involved metal‐induced oxidative stress, neuroinflammation, protein misfolding. Finally, preventive measure treatment strategy that could counter effects intoxications. conclusion, there is substantial correlation between onset advancement several issues. Chelation be useful tactic to lessen load difficulties come with it.

Language: Английский

Citations

1