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Showing papers by "Huan Guo published in 2022"


Journal ArticleDOI
TL;DR: In this article, the associations of multiple plasma metal levels and plasma microRNAs (miRNAs) with diabetes risk were determined, and generalized linear regression models were utilized to investigate the relationships between plasma metal and plasma miRNAs, and mediation analysis was used to assess the mediating effects of plasma miRNA on the relationship between plasma metals and diabetes risk.

8 citations


Journal ArticleDOI
TL;DR: It is suggested that in addition to antihypertensive medication use, adopting a healthy lifestyle is associated with benefits in the prevention of premature death among individuals with hypertension.
Abstract: Key Points Question Are the combination of antihypertensive medication use and healthy lifestyle, as well as the change in lifestyle, associated with mortality among individuals with hypertension? Findings In this cohort study of 14 392 individuals with hypertension, adherence to healthy lifestyle and antihypertensive medication treatment was associated with lower risk of all-cause, cardiovascular, and cancer mortality. Improvement in lifestyle after hypertension diagnosis was also associated with significantly lower risk of mortality. Meaning These findings suggest that in addition to antihypertensive medication use, adopting a healthy lifestyle is associated with benefits in the prevention of premature death among individuals with hypertension.

8 citations


Journal ArticleDOI
TL;DR: In this paper , the longitudinal associations of serum levels of perfluorooctanoic acid (PFOA) and PFOS with incident hypertension risk and change of blood pressure levels were evaluated.
Abstract: Evidence on the associations of perfluorooctanoic acid (PFOA) and perfluorooctane sulfonate (PFOS) with hypertension or blood pressure (BP) levels was limited and inconsistent. The present prospective study aims to evaluate the longitudinal associations of serum levels of PFOA and PFOS with incident hypertension risk and change of blood pressure levels. At baseline 1080 participants (mean age 62 years, 58.9% females) free of hypertension, cardiovascular disease, diabetes, and cancer were followed up for nearly 5 years. Baseline serum levels of PFOA and PFOS were measured with ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS). Hypertension was defined as any of (1) self-reported physician-diagnosed hypertension (2) use of hypotension drugs (3) measured systolic BP ≥ 140 mmHg or diastolic BP ≥ 90 mmHg. Change of BP was evaluated as a difference between twice measurements (BP at follow-up visit-BP at baseline). After adjustment for multiple covariates, serum PFOS levels were negatively correlated with risk of hypertension [RR per lg-unit = 0.94 (95% CI: 0.88, 0.99)] and change of systolic BP [β = -1.48 (95% CI: -2.56, -0.41)]. The highest vs lowest quartiles of PFOS concentration was negatively associated with hypertension risk. Compared with Q1, the RRs (95% CIs) for Q2, Q3, and Q4 were 0.83 (0.67-0.98), 0.81 (0.67-0.97), and 0.81(0.67-0.97), respectively (p for trend = 0.016). The negative associations remained in females but not in males (p for interaction = 0.44). No significant association of PFOA with hypertension risk was observed. Further studies are needed to validate our findings.

7 citations


Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors performed a case-cohort study within the Dongfeng-Tongji cohort, including incident breast cancer cases (n = 226) and a random sub-co-hort, and found that each 1 unit increase in ln-transformed PFOA and PFHpA was associated with a separate 35% and 20% elevated incident risk of breast cancer.

6 citations


Journal ArticleDOI
TL;DR: High concentrations of serum pyrethroid insecticides were significantly associated with an increased risk of incident T2D, and the elevated risk was largely explained by fenvalerate.

5 citations


Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper summarized the advantages of integrated traditional Chinese and modern medicine in the treatment of hepatocellular carcinoma (HCC) and provided a theoretical basis for clinical research.
Abstract: Hepatocellular carcinoma (HCC, accounting for 90% of primary liver cancer) was the sixth most common cancer in the world and the third leading cause of cancer death in 2020. The number of new HCC patients in China accounted for nearly half of that in the world. HCC was of occult and complex onset, with poor prognosis. Clinically, at least 15% of patients with HCC had strong side effects of interventional therapy (IT) and have poor sensitivity to chemotherapy and targeted therapy. Traditional Chinese medicine (TCM), as a multi-target adjuvant therapy, had been shown to play an active anti-tumor role in many previous studies. This review systematically summarized the role of TCM combined with clinically commonly used drugs for the treatment of HCC (including mitomycin C, cyclophosphamide, doxorubicin, 5-fluorouracil, sorafenib, etc.) in the past basic research, and summarized the efficacy of TCM combined with surgery, IT and conventional therapy (CT) in clinical research. It was found that TCM, as an adjuvant treatment, played many roles in the treatment of HCC, including enhancing the tumor inhibition, reducing toxic and side effects, improving chemosensitivity and prolonging survival time of patients. This review summarized the advantages of integrated traditional Chinese and modern medicine in the treatment of HCC and provides a theoretical basis for clinical research.

5 citations


Journal ArticleDOI
TL;DR: Zhang et al. as mentioned in this paper designed a nested case-control study including 101 incident lung cancer cases and 1:2 age and sex-frequency-matched 202 healthy controls from the Dongfeng-Tongji (DFTJ) cohort.

4 citations


Journal ArticleDOI
TL;DR: The results highlighted the importance of ChrY CpGs on male aging and the associations between age and methylation levels of Chr y chromosome were investigated by using linear regression models with adjustment for potential confounders.
Abstract: In view of the sex differences in aging‐related diseases, sex chromosomes may play a critical role during aging process. This study aimed to identify age‐related DNA methylation changes on Y chromosome (ChrY). A two‐stage study design was conducted in this study. The discovery stage contained 419 Chinese males, including 205 from the Wuhan‐Zhuhai cohort panel, 107 from the coke oven workers panel, and 107 from the Shiyan panel. The validation stage contained 587 Chinese males from the Dongfeng‐Tongji sub‐cohort. We used the Illumina HumanMethylation BeadChip to determine genome‐wide DNA methylation in peripheral blood of the study participants. The associations between age and methylation levels of ChrY CpGs were investigated by using linear regression models with adjustment for potential confounders. Further, associations of age‐related ChrY CpGs with all‐cause mortality were tested in the validation stage. We identified the significant associations of 41 ChrY CpGs with age at false discovery rate (FDR) <0.05 in the discovery stage, and 18 of them were validated in the validation stage (p < 0.05). Meta‐analysis of both stages confirmed the robust positive associations of 14 CpGs and negative associations of 4 CpGs with age (FDR<0.05). Among them, cg03441493 and cg17816615 were significantly associated with all‐cause mortality risk [HR(95% CI) = 1.37 (1.04, 1.79) and 0.70 (0.54, 0.93), respectively]. Our results highlighted the importance of ChrY CpGs on male aging.

3 citations


Journal ArticleDOI
TL;DR: Zhang et al. as discussed by the authors investigated role of DNA methylation in zinc-lung cancer association, and found that adding methylation risk score exerted improved discriminations for lung cancer both in case-cohort study and case-control study.

3 citations


Journal ArticleDOI
TL;DR: In this paper , a nested case-control study prospectively investigated the association of BPA with type 2 diabetes risk, and the interaction and combined effects of diabetes genetic risk score (GRS) and serum BPA on T2D risk.

3 citations


Journal ArticleDOI
TL;DR: Plasma miR-193b-3p levels increased in type 2 diabetes cases, and TPI1 levels decreased in both plasma and HepG2 cells with increased miR -193b 3p levels, while extracellular lactate levels did not significantly changed.
Abstract: Objective To explore differentially expressed miRNAs in type 2 diabetes and their potential cellular functions. Methods We screened plasma miRNAs by miRNA array analysis and validated them by TaqMan real-time PCR in 113 newly diagnosed, untreated type 2 diabetes cases and 113 healthy controls. Low-abundance plasma proteins encoded by miR-193b-3p target genes were explored in this study population. We further investigated the potential cellular functions of the differentially expressed miRNAs in HepG2 cells. Results miR-193b-3p was differentially expressed in type 2 diabetes cases compared to healthy controls (fold change = 2.01, P = 0.006). Plasma levels of triosephosphate isomerase (TPI1, a protein involved in the glycolytic pathway) decreased in type 2 diabetes cases (fold change = 1.37, P = 0.002). The effect of miR-193b-3p on TPI1 was verified by transfection of miR-193b-3p into HepG2 cells. miR-193b-3p inhibited the expression of YWHAZ/14-3-3ζ in the PI3K-AKT pathway, subsequently altering the expression of FOXO1 and PCK1. After transfection, cells were incubated in glucose-free medium for another 4 h. Glucose levels in medium from cells with elevated miR-193b-3p levels were significantly higher than those in medium from negative control cells (P = 0.016). In addition, elevated miR-193b-3p reduced glucose uptake by inhibiting insulin receptor (IR) and GLUT2 expression. Conclusion Plasma miR-193b-3p levels increased in type 2 diabetes cases, and TPI1 levels decreased in both plasma and HepG2 cells with increased miR-193b-3p levels, while extracellular lactate levels did not significantly changed. Moreover, miR-193b-3p may affect glucose metabolism by directly targeting YWHAZ/14-3-3ζ and upregulating the transcription factor FOXO1 downstream of the PI3K-AKT pathway.

Journal ArticleDOI
TL;DR: In this article , a multivariable linear regression was used to estimate associations of individual metals with leucocyte telomere length (LTL) and quantile g-computation regression was applied to evaluate the overall association and interactions, and identified the major contributors as well as potential modifications by major characteristics.
Abstract: Studies on associations of metals with leucocyte telomere length (LTL) were mainly limited to several most common toxic metals and single-metal effect, but the impact of other common metals and especially the overall joint associations and interactions of metal mixture with LTL are largely unknown. We included 15 plasma metals and LTL among 4906 participants from Dongfeng-Tongji cohort. Multivariable linear regression was used to estimate associations of individual metals with LTL. We also applied Bayesian kernel machine regression (BKMR) and quantile g-computation regression (Q-g) to evaluate the overall association and interactions, and identified the major contributors as well as the potential modifications by major characteristics. Multivariable linear regression found vanadium, copper, arsenic, aluminum and nickel were negatively associated with LTL, and a 2-fold change was related to 1.9%-5.1% shorter LTL; while manganese and zinc showed 3.7% and 4.0% longer LTL (all P < 0.05) in multiple-metal models. BKMR confirmed above metals and revealed a linearly inverse joint association between 15 metals and LTL. Q-g regression further indicated each quantile increase in mixture was associated with 5.2% shorter LTL (95% CI: -8.1%, -2.3%). Furthermore, manganese counteracted against aluminum and vanadium respectively (Pint<0.05). In addition, associations of vanadium, aluminum and metal mixture with LTL were more prominent in overweight participants. Our results are among the first to provide a new comprehensive view of metal mixture exposure on LTL attrition in the general population, including identifying the major components, metals interactions and the overall effects.

Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors used multivariable linear regression and logistic regression to explore the relation between serum BPA levels and changes in lipid levels and incident dyslipidemia risk, respectively.

Journal ArticleDOI
TL;DR: In this article , the associations between ln-transformed metal concentrations and normalized miRNA levels adjusting for potential confounders were found. But the association between metal exposure and pathophysiological changes in the immune system was not explored.

Journal ArticleDOI
TL;DR: Two metal-associated pathways, linoleic acid metabolism and aminoacyl-tRNA biosynthesis, are replicated with novel metal associations, and two novel pathways, including biosynthesis of unsaturated fatty acids and alpha-linolenic Acid metabolism, are identified as associated with metal exposure.
Abstract: Metal exposure has been associated with risk of various cardio-metabolic disorders, and investigation on the association between exposure to multiple metals and metabolic responses may reveal novel clues to the underlying mechanisms. Based on a metabolome-wide association study of 17 plasma metals with untargeted metabolomic profiling of 189 serum metabolites among 1992 participants within the Dongfeng–Tongji cohort, we replicated two metal-associated pathways, linoleic acid metabolism and aminoacyl-tRNA biosynthesis, with novel metal associations (false discovery rate, FDR < 0.05), and we also identified two novel pathways, including biosynthesis of unsaturated fatty acids and alpha-linolenic acid metabolism, as associated with metal exposure (FDR < 0.05). Moreover, two-way orthogonal partial least-squares analysis showed that five metabolites, including aspartylphenylalanine, free fatty acid 14:1, uridine, carnitine C14:2, and LPC 18:2, contributed most to the joint covariation between the two data matrices (12.3%, 8.3%, 8.0%, 7.4%, and 7.3%, respectively). Further BKMR analysis showed significant positive joint associations of plasma Al, As, Ba, and Zn with aspartylphenylalanine and of plasma Ba, Co, Mn, and Pb with carnitine C14:2, when all the metals were at the 55th percentiles or above, compared with the median. We also found significant interactions between As and Ba in the association with aspartylphenylalanine (P for interaction = 0.048) and between Ba and Pb in the association with carnitine C14:2 (P for interaction < 0.001). Together, these findings may provide new insights into the mechanisms underlying the adverse health effects induced by metal exposure.

Journal ArticleDOI
TL;DR: All-subset analysis could effectively reduce the number of redundant biomarkers and significantly improve the accuracy of KD-BA in predicting all-cause mortality.
Abstract: BACKGROUND Klemera-Doubal's method (KDM) is an advanced and widely applied algorithm for estimating biological age (BA), but it has no uniform paradigm for biomarker processing. This paper proposed all subsets of biomarkers for estimating BAs and assessed their association with mortality to determine the most predictive subset and BA. METHODS Clinical biomarkers, including those from physical examinations and blood assays, were assessed in the China Health and Nutrition Survey (CHNS) 2009 wave. Those correlated with chronological age (CA) were combined to produce complete subsets, and BA was estimated by KDM from each subset of biomarkers. A Cox proportional hazards regression model was used to examine and compare each BA's effect size and predictive capacity for all-cause mortality. Validation analysis was performed in the Chinese Longitudinal Healthy Longevity Survey (CLHLS) and National Health and Nutrition Examination Survey (NHANES). KD-BA and Levine's BA were compared in all cohorts. RESULTS A total of 130,918 panels of BAs were estimated from complete subsets comprising 3 to 17 biomarkers, whose Pearson coefficients with CA varied from 0.39 to 1. The most predictive subset consisted of 5 biomarkers, whose estimated KD-BA had the most predictive accuracy for all-cause mortality. Compared to Levine's BA, the accuracy of the best fitting KD-BA in predicting death varied among specific populations. CONCLUSION All-subset analysis could effectively reduce the number of redundant biomarkers and significantly improve the accuracy of KD-BA in predicting all-cause mortality.

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper investigated the individual and mixture effect of plasma metals on blood mitochondria DNA copy number (mtDNAcn), and they used multiple linear regression to explore the association between each metal and mtDNAcn, and the LASSO penalized regression was performed to select the most significant metals.
Abstract: Mitochondria are essential organelles that execute fundamental biological processes, while mitochondrial DNA is vulnerable to environmental insults. The aim of this study was to investigate the individual and mixture effect of plasma metals on blood mitochondria DNA copy number (mtDNAcn).This study involved 1399 randomly selected subcohort participants from the Dongfeng-Tongji cohort. The blood mtDNAcn and plasma levels of 23 metals were determined by using quantitative real-time polymerase chain reaction (qPCR) and inductively coupled plasma mass spectrometer (ICP-MS), respectively. The multiple linear regression was used to explore the association between each metal and mtDNAcn, and the LASSO penalized regression was performed to select the most significant metals. We also used the quantile g-computation analysis to assess the mixture effect of multiple metals.Based on multiple linear regression models, each 1% increase in plasma concentration of copper (Cu), rubidium (Rb), and titanium (Ti) was associated with a separate 0.16% [β(95% CI) = 0.158 (0.066, 0.249), P = 0.001], 0.20% [β(95% CI) = 0.196 (0.073, 0.318), P = 0.002], and 0.25% [β(95% CI) = 0.245 (0.081, 0.409), P = 0.003] increase in blood mtDNAcn. The LASSO regression also confirmed Cu, Rb, and Ti as significant predictors for mtDNAcn. There was a significant mixture effect of multiple metals on increasing mtDNAcn among the elder participants (aged ≥65), with an approximately 11% increase in mtDNAcn for each quartile increase in all metal concentrations [β(95% CI) = 0.146 (0.048, 0.243), P = 0.004].Our results show that plasma Cu, Rb and Ti were associated with increased blood mtDNA, and we further revealed a significant mixture effect of all metals on mtDNAcn among elder population. These findings may provide a novel perspective on the effect of metals on mitochondrial dysfunction.

Journal ArticleDOI
17 Jun 2022-Diabetes
TL;DR: The study suggests that redox-related genetic variants should be considered to identify populations that might benefit most from selenium supplementation, and suggests that NRF2 promoter polymorphism might modify the association between plasma seenium levels and incident CHD risk among T2D.
Abstract: Existing studies found that both plasma selenium and NRF2 promoter variants (e.g., rs6721961) were associated with cardiovascular disease risk in the general population. However, epidemiological evidence on the interaction between plasma selenium and NRF2 genetic susceptibility in relation to incident coronary heart disease (CHD) risk remains scarce, especially among individuals with type 2 diabetes (T2D). Thus, we examined whether rs6721961 in the NRF2 gene might modify the association between plasma selenium levels and incident CHD risk among T2D. During a mean (SD) follow-up period of 6.90 (2.96) years, 798 incident CHD cases were identified in 2,251 T2D cases. Risk allele carriers (GT/TT) of rs6721961 showed a higher risk of incident CHD among T2D (adjusted HR = 1.17, 95% CI: 1.02-1.35) vs. non-risk allele carriers (GG). Each 22.8 μg/L increase in plasma selenium levels was associated with a reduced risk of incident CHD among T2D with risk allele (GT/TT; HR = 0.80, 95% CI: 0.71-0.89), whereas no association was found in those with non-risk allele (GG; Pinteraction = 0.004), indicating that NRF2 promoter polymorphism might modify the association between plasma selenium levels and incident CHD risk among T2D. Our study suggests that redox-related genetic variants should be considered to identify populations that might benefit most from selenium supplementation. Further mechanistic studies are warranted.

Journal ArticleDOI
TL;DR: In this article , a total of 33,916 participants from the Dongfeng-Tongji cohort were included to establish biological age predictors by using recent advanced algorithms, Klemera and Doubal method (KDM) and Mahalanobis distance.

Journal ArticleDOI
TL;DR: Wang et al. as mentioned in this paper used Cox regression to examine the association between homocysteine (Hcy) and gene-Hcy interactions with the risk of all-cause and cause-specific mortality.

Journal ArticleDOI
TL;DR: Higher ALP levels, even within the normal range, were significantly associated with increased risks of CVD, in a dose-dependent manner, and it was suggested that regular monitoring of ALP levels may help in improving the early identification of the population at higher CVD risk.
Abstract: Aim: We aimed to investigate the associations of serum alkaline phosphatase (ALP) levels with incident cardiovascular disease (CVD), coronary heart disease (CHD), and stroke, as well as their subtypes, among men and women in a prospective cohort study. Methods: A total of 11,408 men and 14,981 women were included to evaluate the associations between ALP levels and incident CVD. Participants were divided into four groups according to the quartiles of serum ALP levels in men and women separately. Cox proportional hazard models were used to estimate the hazard ratios (HRs) and 95% confidence intervals (CIs). Results: During an average follow-up of 7.3 years, 7,015 incident CVDs (5,561 CHDs and 1,454 strokes) were documented. After adjustments for age, body mass index, smoking status, drinking status, diabetes, hyperlipidemia, hypertension, physical activity, aspirin usage, anticoagulants usage, menopausal status (women only), family history of CVD, estimated glomerular filtration rate, white blood cell counts, and admission batch and comparing the lowest quartile of ALP, the adjusted HRs (95% CIs) of participants in the highest quartile were 1.22 (1.11–1.34) for CVD, 1.14 (1.02–1.28) for CHD, 1.43 (1.18–1.73) for stroke, 1.31 (1.09–1.57) for acute coronary syndrome (ACS), 1.37 (1.11–1.70) for ischemic stroke, and 1.75 (1.10–2.79) for hemorrhagic stroke in men and 1.12 (1.01–1.23) for CVD, 1.10 (0.99–1.23) for CHD, 1.18 (0.92–1.51) for stroke, 1.23 (1.03–1.47) for ACS, 1.10 (0.83–1.45) for ischemic stroke, and 1.54 (0.90–2.65) for hemorrhagic stroke in women. The ALP–CVD associations remained significant even within the normal ranges of ALP levels (40–150 U/L). Moreover, linear dose–response relationships were found between ALP levels and incident CVD. Conclusions: Higher ALP levels, even within the normal range, were significantly associated with increased risks of CVD, in a dose-dependent manner. These findings suggested that regular monitoring of ALP levels may help in improving the early identification of the population at higher CVD risk.

Journal ArticleDOI
TL;DR: TCM syndromes were associated with driver gene mutations, sex, age, and bone metastasis in patients with lung adenocarcinoma, with a statistically significant association between a driver gene mutation and TCM syndrome.
Abstract: This study aimed to investigate the associations between traditional Chinese medicine (TCM) syndromes and driver gene mutations as well as the clinical characteristics of patients with lung adenocarcinoma. We performed a cross-sectional study in patients with lung adenocarcinoma between June 2020 and October 2021. The patient characteristics, such as age, sex, smoking history, clinical stage, metastasis, driver gene mutations, and the type of traditional Chinese medicine syndrome/element, were collected. The associations between each TCM syndrome and sex, smoking history, clinical stage, metastasis, and driver gene mutations were analyzed. The present study included 127 patients. The most frequent TCM syndromes were Qi and Yin deficiency (39, 30.7%) and lung-spleen Qi deficiency (32, 25.2%). Eighty-one (63.8%) patients had mutations in driver genes, especially in the EGFR gene (64, 79.0%). There was a statistically significant association between a driver gene mutation and TCM syndrome (P < 0.05). Genetic mutations presented more frequently in patients with Qi and Yin deficiency (37.0%), lung-spleen Qi deficiency (30.0%), or the cold element (59.3%). Male patients were more likely to have Qi stagnation and blood stasis, whereas female patients were more likely to have lung-spleen Qi deficiency or Qi and Yin deficiency. The patients with lung-spleen Qi deficiency were usually younger than those with Qi and Yin deficiency or Qi stagnation and blood stasis (P < 0.05). Compared with the patients with other TCM syndromes, the patients with Yin and Yang deficiency were more likely to have bone metastasis. TCM syndromes were associated with driver gene mutations, sex, age, and bone metastasis in patients with lung adenocarcinoma.

Journal ArticleDOI
TL;DR: In this article , the associations of multiple plasma metals (including metalloids arsenic [As] and selenium [Se]) with homocysteine (Hcy) levels and whether their associations were modified by genetic susceptibility were explored.

Journal ArticleDOI
TL;DR: It is revealed that C3 could be an early biomarker for incident T2DM, and that BMI might play a potential mediating role in the C3-T2DM associations, which provided clues for the pathogenesis of diabetes.
Abstract: CONTEXT Impairment of immune and inflammatory homeostasis was reported to be one of the causation to diabetes. However, the association of complement C3 levels with incident diabetes in humans remains unclear. OBJECTIVES This study aimed to examine the association between C3 levels and incident type 2 diabetes mellitus (T2DM), and further explore the potential mediating role of body mass index (BMI) in C3-T2DM associations. METHODS We determined serum C3 levels of 2662 nondiabetic middle-aged and elderly (64.62 ± 7.25 years) individuals from the Dongfeng-Tongji cohort at baseline. Cox regression was employed to examine the incidence of T2DM in relationship to C3 levels during 10 years of follow-up. Mediation analysis was further applied to assess potential effect of BMI on the C3-T2DM associations. RESULTS Overall, 711 (26.7%) participants developed T2DM during 23067 person-years of follow-up. Higher serum C3 was significantly associated with higher risk of incident T2DM after full adjustment (HR [95% CI] = 1.16 [1.05, 1.27]; per SD higher). Compared with the first quartile of C3 levels, the HR in the fourth quartile was 1.52 (95% CI = [1.14, 2.02]; Ptrend = 0.029). Robust significant linear dose-response relationship was observed between C3 levels and BMI (Poverall <0.001, Pnon-linear = 0.96). Mediation analyses indicated that BMI might mediate 41.0% of the associations between C3 and T2DM. CONCLUSION The present prospective study revealed that C3 could be an early biomarker for incident T2DM, and that BMI might play a potential mediating role in the C3-T2DM associations, which provided clues for the pathogenesis of diabetes.

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TL;DR: In this paper , the associations of six commonly detected perfluoroalkyl substances (PFASs) with serum uric acid (UA) and hyperuricemia remain unclear. But, exposure to PFASs can be considered as a risk factor for hyperURicemia.