Effects of multi-metal exposure on the risk of diabetes mellitus among people aged 40-75 years in rural areas in southwest China

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)

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

Maternal periconception hyperglycemia, preconception diabetes, and risk of major congenital malformations in offspring

STUDY QUESTION

What are the roles of maternal preconception diabetes and related periconceptional hyperglycemia on the risk of major congenital malformations (MCMs) in offspring?

SUMMARY ANSWER

Maternal periconceptional glycated hemoglobin (HbA1c) levels over 5.6% were associated with an increased risk of congenital heart defects (CHD) in the offspring, and maternal preconception diabetes was associated with an increased risk of CHD, including when HbA1c levels were within euglycemic ranges.

WHAT IS KNOWN ALREADY

Maternal preconception diabetes has been linked with MCMs in the offspring. However, evidence concerning associations with specific periconception serum measures of hyperglycemia, and susceptibility of different organ systems, is inconsistent. Moreover, limited evidence exists concerning the effectiveness of antidiabetic medications in mitigating diabetes-related teratogenic risks.

STUDY DESIGN, SIZE, DURATION

A large Israeli birth cohort of 46 534 children born in 2001-2020.

PARTICIPANTS/MATERIALS, SETTING, METHODS

Maternal HbA1c test results were obtained from 90 days before conception to mid-pregnancy. Maternal diabetes, other cardiometabolic conditions, and MCMs in newborns were ascertained based on clinical diagnoses, medication dispensing records, and laboratory test results using previously validated algorithms. Associations were modeled using generalized additive logistic regression models with thin plate penalized splines.

MAIN RESULTS AND THE ROLE OF CHANCE

Maternal periconceptional HbA1c value was associated with CHD in newborns, with the risk starting to increase at HbA1c values exceeding 5.6%. The association between HbA1c and CHD was stronger among mothers with type 2 diabetes mellitus (T2DM) compared to the other diabetes groups. Maternal pre-existing T2DM was associated with CHD even after accounting for HbA1C levels and other cardiometabolic comorbidities (odds ratio (OR)=1.89, 95% CI 1.18, 3.03); and the OR was materially unchanged when only mothers with pre-existing T2DM who had high adherence to antidiabetic medications and normal HbA1c levels were considered.

LIMITATIONS, REASONS FOR CAUTION

The rarity of some specific malformation groups limited the ability to conduct more granular analyses. The use of HbA1c as a time-aggregated measure of glycemic control may miss transient glycemic dysregulation that could be clinically meaningful for teratogenic risks.

WIDER IMPLICATIONS OF THE FINDINGS

The observed association between pre-existing diabetes and the risk of malformations within HbA1c levels suggests underlying causal pathways that are partly independent of maternal glucose control. Therefore, treatments for hyperglycemia might not completely mitigate the teratogenic risk associated with maternal preconception diabetes.

STUDY FUNDING/COMPETING INTEREST(S)

The work was supported by NIH grants K99ES035433, R01HD097778, and P30ES000002. None of the authors reports competing interests.

TRIAL REGISTRATION NUMBER

N/A.

Multimetal exposure: Challenges in diagnostics, prevention, and treatment

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

A, Sarma DK, Verma V, Nagpal R, Mohania D, Tiwari R, Kumar M. Deciphering the complex interplay of risk factors in type 2 diabetes mellitus: A comprehensive review

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

Associations of metals and metal mixtures with glucose homeostasis: A combined bibliometric and epidemiological study

This study employs a combination of bibliometric and epidemiological methodologies to investigate the relationship between metal exposure and glucose homeostasis. The bibliometric analysis quantitatively assessed this field, focusing on study design, predominant metals, analytical techniques, and citation trends. Furthermore, we analyzed cross-sectional data from Beijing, examining the associations between 14 blood metals and 6 glucose homeostasis markers using generalized linear models (GLM). Key metals were identified using LASSO-PIPs criteria, and Bayesian kernel machine regression (BKMR) was applied to assess metal mixtures, introducing an "Overall Positive/Negative Effect" concept for deeper analysis. Our findings reveal an increasing research interest, particularly in selenium, zinc, cadmium, lead, and manganese. Urine (27.6%), serum (19.0%), and whole blood (19.0%) were the primary sample types, with cross-sectional studies (49.5%) as the dominant design. Epidemiologically, significant associations were found between 9 metals-cobalt, copper, lithium, manganese, nickel, lead, selenium, vanadium, zinc-and glucose homeostasis. Notably, positive-metal mixtures exhibited a significant overall positive effect on insulin levels, and notable interactions involving nickel were identified. These finding not only map the knowledge landscape of research in this domain but also introduces a novel perspective on the analysis strategies for metal mixtures.

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

BACKGROUND

Magnesium (Mg) is both an essential macro-element and a known catalyst, and it plays a vital role in various physiological activities and mechanisms in relation to chronic kidney disease (CKD). However, epidemiological evidence involving this is limited and not entirely consistent. This study aims to explore the association of serum Mg concentrations with the risk of CKD among general Chinese adults.

METHODS

A total of 8,277 Chinese adults were included in the wave of 2009 from the China Health and Nutrition Survey (CHNS). The primary outcome was the risk of CKD, which was defined as the estimated glomerular filtration rate (eGFR) < 60 mL/min/1.73 m2. Multivariable logistic regression model was used to examine the relationship of serum Mg concentrations with the risk of CKD.

RESULTS

Included were 8,277 individuals, with an overall CKD prevalence of 11.8% (n = 977). Compared with the first quartile of serum Mg, the multivariable-adjusted odds ratios (ORs) and 95% confidence intervals (CIs) for participants in the second, third, and fourth quartiles of serum Mg were 0.74 (0.58, 0.93), 0.87 (0.69, 1.11) and 1.29 (1.03, 1.61), respectively. Similar results were observed in our several sensitivity analyses. Restricted cubic spline analysis demonstrated a nonlinear (similar "J"-shaped) association between serum Mg concentrations and the risk of CKD (Pnonlinearity <0.001), with a threshold at around a serum Mg value of 2.2 mg/dL.

CONCLUSIONS

Our results suggested a similar "J"-shaped association between serum Mg concentration and the risk of CKD among Chinese adults. Further large prospective studies are needed to verify these findings.

Blood Lead Exposure and Association With Hepatitis B Core Antibody in the United States: NHANES 2011–2018

The objective of this project was to explore the distribution and related factors of blood lead and the association between blood lead and hepatitis B core antibody (HBcAb). All the data were from the U.S. National Health and Nutrition Examination Survey (NHANES). In total, 15,097 (aged 20–80 years) participants were included. Participants without a history of blood transfusion were more likely to be exposed to lower levels of blood lead [−2.30 (−3.13, −1.47) for HBcAb (–) and −2.23 (−4.54, 0.08) for HBcAb (+)]. The odds ratio (OR) of HBcAb (+) increased with blood lead and the result was 1.09 (1.06, 1.12). This study showed that older adults, men, people with a lower education level, a lower ratio of family income to poverty (PIR), a lower body mass index (BMI), or a history of blood transfusion, people who lived with a companion or with a total number of people in the family >3, people living in the United States for a longer time, U.S. citizens by birth or naturalization, and people not born in the United States were associated with higher blood lead exposure, and blood lead had a positive association with HBcAb (+).