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Lin S, He J, Zhou Y, Bao Y, Feng X, Cheng H, Cai H, Hu S, Wang L, Zheng Y, Zhang M, Fan Q, Wen S, Lin Y, Liu C, Chen X, Wang F, Ge X, Yang X. Cross-sectional and Longitudinal Associations Between Metal Mixtures and Serum C3, C4: Result from the Manganese‑exposed Workers Healthy Cohort. Biol Trace Elem Res 2024:10.1007/s12011-024-04143-2. [PMID: 38492120 DOI: 10.1007/s12011-024-04143-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/19/2023] [Accepted: 03/04/2024] [Indexed: 03/18/2024]
Abstract
Exposure to metal mixtures compromises the immune system, with the complement system connecting innate and adaptive immunity. Herein, we sought to explore the relationships between blood cell metal mixtures and the third and fourth components of serum complement (C3, C4). A total of 538 participants were recruited in November 2017, and 289 participants were followed up in November 2021. We conducted a cross-sectional analysis at baseline and a longitudinal analysis over 4 years. Least Absolute Shrinkage and Selection Operator (LASSO) was employed to identify the primary metals related to serum C3, C4; generalized linear model (GLM) was further used to evaluate the cross-sectional associations of the selected metals and serum C3, C4. Furthermore, participants were categorized into three groups according to the percentage change in metal concentrations over 4 years. GLM was performed to assess the associations between changes in metal concentrations and changes in serum C3, C4 levels. At baseline, each 1-unit increase in log10-transformed in magnesium, manganese, copper, rubidium, and lead was significantly associated with a change in serum C3 of 0.226 (95% CI: 0.146, 0.307), 0.055 (95% CI: 0.022, 0.088), 0.113 (95% CI: 0.019, 0.206), - 0.173 (95% CI: - 0.262, - 0.083), and - 0.020 (95% CI: - 0.039, - 0.001), respectively. Longitudinally, decreased copper concentrations were negatively associated with an increment in serum C3 levels, while decreased lead concentrations were positively associated with an increment in serum C3 levels. However, no metal was found to be primarily associated with serum C4 in LASSO, so we did not further explore the relationship between them. Our research indicates that copper and lead may affect complement system homeostasis by influencing serum C3 levels. Further investigation is necessary to elucidate the underlying mechanisms.
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Affiliation(s)
- Sencai Lin
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Junxiu He
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Yinghua Zhou
- School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006, China
| | - Yu Bao
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Xiuming Feng
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Hong Cheng
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Haiqing Cai
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Sihan Hu
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Lin Wang
- School of Science, Guangxi University of Science and Technology, Liuzhou, 545006, Guangxi, China
| | - Yuan Zheng
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Mengdi Zhang
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Qinghua Fan
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Shifeng Wen
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Yuanxin Lin
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Chaoqun Liu
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Xing Chen
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Fei Wang
- School of Public Health, Guangxi Medical University, Nanning, 530021, China
| | - Xiaoting Ge
- School of Medicine, Guangxi University of Science and Technology, Liuzhou, 545006, China.
| | - Xiaobo Yang
- School of Public Health, Guangxi Medical University, Nanning, 530021, China.
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Niu Y, Zhang Q, Wei Y. Causal effects of inflammatory bowel disease on risk of type 2 diabetes: a two-sample multivariable Mendelian randomization study. Acta Diabetol 2024:10.1007/s00592-024-02254-9. [PMID: 38427067 DOI: 10.1007/s00592-024-02254-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 02/03/2024] [Indexed: 03/02/2024]
Abstract
AIM This study aimed to explore the causal association between inflammatory bowel disease (IBD) and the risk of type 2 diabetes (T2D) based on a two-sample Mendelian randomization (MR) study. METHODS Summary single nucleotide polymorphism (SNP)-phenotype association data were obtained from published two genome-wide association studies (GWAS) including SNPs related to IBD, UC, or CD in European participants (n = 71,997) and East Asian participants (n = 16,805). Two GWAS including SNPs associated with T2D included 655,666 Europeans and 433,540 East Asians. A series of screening processes were performed to select qualified instrumental SNPs strongly related to exposure. We applied the inverse variance weighted (IVW), the MR-Egger regression, and the weighted median to estimate the causal effects of IBD, ulcerative colitis (UC) or Crohn' disease (CD) on T2D. Cochran's Q test was conducted to evaluate the statistical heterogeneity between SNPs in the IVW method. The leave-one-out analysis was employed to assess whether the results were caused by any single SNP associated with IBD, UC, or CD. Odds ratio (OR) and 95% confidence interval (CI) were calculated. RESULTS The IVW results demonstrated that IBD could increase the risk of T2D in the European population (OR = 1.0230, 95%CI: 1.0073-1.0390). UC was positively associated with the risk of T2D according to the weighted median (OR = 1.0274, 95%CI: 1.0009-1.0546) and IVW (OR = 1.0244, 95%CI: 1.0071-1.0421) results in the European population. The IVW results indicated that the CD was positively associated with the risk of T2D in the European population (OR = 1.0187, 95%CI: 1.0045-1.0330). In the East Asian population, there are no associations between the IBD, UC, or CD and the risk of T2D (all P > 0.05). MVMR results revealed that the causal effect UC on T2D was still statistically significant after including body mass index (BMI) or low-density lipoprotein (LDL). CONCLUSION IBD, UC, or CD had causal effects on the risk of T2D in the European population, which might provide evidence for the prevention of T2D in patients with IBD, UC, or CD.
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Affiliation(s)
- Yue Niu
- Department of Digestive Internal Medicine, Lianyungang Hospital of Traditional Chinese Medicine, 160# Chaoyang Middle Road, Lianyungang, 222000, Jiangsu, China
| | - Qing Zhang
- Department of Digestive Internal Medicine, Lianyungang Hospital of Traditional Chinese Medicine, 160# Chaoyang Middle Road, Lianyungang, 222000, Jiangsu, China
| | - Yinting Wei
- Department of Digestive Internal Medicine, Lianyungang Hospital of Traditional Chinese Medicine, 160# Chaoyang Middle Road, Lianyungang, 222000, Jiangsu, China.
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Liu J, Chang X, Ding X, He X, Wang J, Wang G. Effect of dapagliflozin on proteomics and metabolomics of serum from patients with type 2 diabetes. Diabetol Metab Syndr 2023; 15:251. [PMID: 38044448 PMCID: PMC10694884 DOI: 10.1186/s13098-023-01229-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/26/2023] [Accepted: 11/24/2023] [Indexed: 12/05/2023] Open
Abstract
BACKGROUND Sodium-glucose co-transporter 2 (SGLT2) inhibitors reduced the risk of cardiovascular and renal outcomes in patients with type 2 diabetes (T2D), but the underlying mechanism has not been well elucidated. The circulating levels of proteins and metabolites reflect the overall state of the human body. This study aimed to evaluate the effect of dapagliflozin on the proteome and metabolome in patients with newly diagnosed T2D. METHODS A total of 57 newly diagnosed T2D patients were enrolled, and received 12 weeks of dapagliflozin treatment (10 mg/d, AstraZeneca). Serum proteome and metabolome were investigated at the baseline and after dapagliflozin treatment. RESULTS Dapagliflozin significantly decreased HbA1c, BMI, and HOMA-IR in T2D patients (all p < 0.01). Multivariate models indicated clear separations of proteomics and metabolomics data between the baseline and after dapagliflozin treatment. A total of 38 differentially abundant proteins including 23 increased and 15 decreased proteins, and 35 differentially abundant metabolites including 17 increased and 18 decreased metabolites, were identified. In addition to influencing glucose metabolism (glycolysis/gluconeogenesis and pentose phosphate pathway), dapagliflozin significantly increased sex hormone-binding globulin, transferrin receptor protein 1, disintegrin, and metalloprotease-like decysin-1 and apolipoprotein A-IV levels, and decreased complement C3, fibronectin, afamin, attractin, xanthine, and uric acid levels. CONCLUSIONS The circulating proteome and metabolome in newly diagnosed T2D patients were significantly changed after dapagliflozin treatment. These changes in proteins and metabolites might be associated with the beneficial effect of dapagliflozin on cardiovascular and renal outcomes.
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Affiliation(s)
- Jia Liu
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, NO. 8, Gongti South Road, Chaoyang District, 100020, Beijing, China
| | - Xiaona Chang
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, NO. 8, Gongti South Road, Chaoyang District, 100020, Beijing, China
| | - Xiaoyu Ding
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, NO. 8, Gongti South Road, Chaoyang District, 100020, Beijing, China
| | - Xueqing He
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, NO. 8, Gongti South Road, Chaoyang District, 100020, Beijing, China
| | - Jiaxuan Wang
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, NO. 8, Gongti South Road, Chaoyang District, 100020, Beijing, China
| | - Guang Wang
- Department of Endocrinology, Beijing Chao-Yang Hospital, Capital Medical University, NO. 8, Gongti South Road, Chaoyang District, 100020, Beijing, China.
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