Heavy metal toxicity in poultry: a comprehensive review

Frontiers in Veterinary Science, Journal Year: 2023, Volume and Issue: 10

Published: June 29, 2023

Arsenic (As), lead (Pb), cadmium (Cd), and mercury (Hg) have been recognized as most toxic heavy metals that are continuously released into the environment, both from natural sources anthropogenic production of fertilizers, industrial activities, waste disposal. Therefore, As, Cd, Hg, Pb found in increasing concentrations bodies water, fodder, feed, tissues livestock, including poultry, surroundings areas, leading to metabolic, structural, functional abnormalities various organs all animals. In bioaccumulation Pb, Hg occurs many (mainly kidneys, liver, reproductive organs, lungs) a result continuous exposure metals. Consumption Cd lowers efficiency feed conversion, egg production, growth poultry. Chronic at low doses can change microscopic structure brain, organs) increased content these tissues. Histopathological changes occurring reflected their negative impact on enzyme activity serum biochemical parameters. Metal toxicity is determined by route exposure, length absorbed dosage, whether chronic acute. This review presents discussion poultry associated histopathological different

Language: Английский

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Heavy Metal Mediated Progressive Degeneration and Its Noxious Effects on Brain Microenvironment

Biological Trace Element Research, Journal Year: 2023, Volume and Issue: 202(4), P. 1411 - 1427

Published: July 18, 2023

Language: Английский

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Polychlorinated biphenyls, polychlorinated dibenzo-p-dioxins, polychlorinated dibenzofurans, pesticides, and diabetes in the Anniston Community Health Survey follow-up (ACHS II): single exposure and mixture analysis approaches

The Science of The Total Environment, Journal Year: 2023, Volume and Issue: 877, P. 162920 - 162920

Published: March 17, 2023

Language: Английский

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Metal exposure is associated with cognitive function and plasma sTrem2 levels in coal miners: a cross-sectional study

Environmental Research, Journal Year: 2025, Volume and Issue: unknown, P. 121726 - 121726

Published: May 1, 2025

Language: Английский

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Association between Urinary Lead and Female Breast Cancer: A Population-Based Cross-Sectional Study

Discovery Medicine, Journal Year: 2023, Volume and Issue: 35(179), P. 1177 - 1177

Published: Jan. 1, 2023

Background: Previous studies have explored the relationship between serum lead levels and risk of female breast cancer (FBC). However, it is still uncertain whether urinary are associated with FBC. This study aimed to investigate potential association Methods: A cross-sectional case-control was conducted using National Health Nutrition Examination Survey (NHANES), which a series cross-sectional, nationally representative surveys United States population consisting 10 survey waves from 1999 2018. analyzed total 2795 participants (≥20 years), 210 FBC 2585 healthy controls. Urinary detected Inductively Coupled Plasma-Mass Spectrometry, divided into four by quartiles-defining cut points. Multivariate logistic regression used analyze Results: revealed that positively correlated (Odds ratio [OR], 2.16; 95% confidence interval [CI]: [1.18, 3.95], p < 0.05) in fully adjusted model. There were significantly increased ORs quartile 4 (Q4) 3 (Q3), compared lowest 1 (Q1) (Q4, OR = 1.48, CI [0.89, 2.48]; Q3: 1.01, [0.59, 1.73], p for trend 0.021). No significant interaction effects observed subgroups (age, race, educational status, body mass index (BMI), marital family income poverty ratio, hypertension diabetes renal function smoking history, ever been pregnant, oral contraceptive use, occupation classification, etc.) (All p-value > 0.05). Conclusions: likely US population.

Language: Английский

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Association of heavy metal complex exposure and neurobehavioral function of children

Annals of Occupational and Environmental Medicine, Journal Year: 2023, Volume and Issue: 35(1)

Published: Jan. 1, 2023

Exposure to heavy metals is a public health concern worldwide. Previous studies on the association between metal exposure and neurobehavioral functions in children have focused single exposures clinical manifestations. However, present study evaluated effects of complex subclinical function using Korean Computerized Neurobehavior Test (KCNT).Urinary mercury, lead, cadmium analyses as well symbol digit substitution (SDS) choice reaction time (CRT) tests KCNT were conducted aged 10 12 years. Reaction urinary levels analyzed partial correlation, linear regression, Bayesian kernel machine regression (BKMR), weighted quantile sum (WQS) G-computation analysis.Participants 203 SDS 198 CRT analyzed, excluding poor cooperation inappropriate urine sample. Partial correlation analysis revealed no individual metals. The result multiple shows significant positive CRT. BMKR, WQS showed statistically concentrations, especially lead time.Assuming exposures, concentrations with These results suggest that during childhood should be managed strictly.

Language: Английский

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MTBE exposure may increase the risk of insulin resistance in male gas station workers

Environmental Science Processes & Impacts, Journal Year: 2023, Volume and Issue: 26(2), P. 334 - 343

Published: Dec. 15, 2023

Insulin resistance is closely related to many metabolic diseases and has become a serious public health problem worldwide. So, it crucial find its environmental pathogenic factors. Methyl

Language: Английский

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Mediation effect of serum zinc on insulin secretion inhibited by methyl tert-butyl ether in gas station workers

Environmental Science and Pollution Research, Journal Year: 2024, Volume and Issue: unknown

Published: Jan. 6, 2024

Language: Английский

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Health Effects of Combined Respiratory and Internal Exposure to Multiple Metals in PM_2.5 and PM_0.25 in Solid Fuel Combustion Household Environment

ACS ES&T Air, Journal Year: 2024, Volume and Issue: 1(8), P. 837 - 847

Published: May 27, 2024

Respiratory exposure to heavy metals is an important health risk factor; however, the impact of co-exposure multiple on internal and remains unclear. Here, we evaluated relationship between nine (K, Ca, Fe, Cr, Mn, Zn, Pb, Se, Hg) in PM2.5, PM0.25, urinary with biomarkers, i.e., 8-hydroxy-2′-deoxyguanosine (8-OHdG), vascular endothelial growth factor (VEGF), interleukin-8 (IL-8), C-reactive protein (CRP), rural housewives Yuncheng City, northern China. K, Hg were primarily present PM0.25. Se showed higher concentrations indicating that these elements mainly existed coarser fraction PM2.5. The correlation two particle sizes was decent, but only K PM2.5 PM0.25 significantly correlated their respective urine. Most urine negatively biomarkers representing inflammation oxidative stress. Based Bayesian kernel machine regression mixed effect model, found VEGF, Cr having highest posterior inclusion probability, which may be due synergistic metals. We recommend minimizing use solid fuels at home regularly replacing utensils, can have a certain reducing This study offers theoretical foundation practical case for quantitatively assessing effects particulate matter-bound human during combustion households.

Language: Английский

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Exposure to a mixture of metal(loid)s and sleep quality in pregnant women during early pregnancy: A cross-sectional study

Ecotoxicology and Environmental Safety, Journal Year: 2024, Volume and Issue: 281, P. 116663 - 116663

Published: July 3, 2024

Biological characteristics of pregnant women during early pregnancy make them susceptible to both poor sleep quality and metal/metalloid exposure. However, the effects metal(loid) exposure on in remain unknown unexplored. We aimed examine relationship between a mixture metal(loid)s women's pregnancy. recruited 493 first trimester from prenatal clinics Jinan, Shandong Province, China, collected their spot urine samples. All specimens were assessed for eight metal(loid)s: arsenic (As), cadmium (Cd), iron (Fe), zinc (Zn), molybdenum (Mo), lead (Pb), selenium (Se), mercury (Hg). used Pittsburgh Sleep Quality Index (PSQI) assess quality. Linear regression, logistic generalized additive models (GAMs), quantile g-computation, Bayesian kernel machine regression (BKMR) applied investigate relationships The results single models, g-computation BKMR consistently suggested that Fe was positively related Moreover, As most critical contributor negative In addition, we found significant by interaction scores PSQI habitual efficiency, Pb latency, Hg PSQI, suggesting interactive Fe, specific components. Our study provided first-hand evidence underlying mechanisms need be explored future.

Language: Английский

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