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Wang T, Zhang M, Shi W, Li Y, Zhang T, Shi W. Atherogenic index of plasma, high sensitivity C-reactive protein and incident diabetes among middle-aged and elderly adults in China: a national cohort study. Cardiovasc Diabetol 2025; 24:103. [PMID: 40045300 PMCID: PMC11883954 DOI: 10.1186/s12933-025-02653-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/23/2024] [Accepted: 02/17/2025] [Indexed: 03/09/2025] Open
Abstract
BACKGROUND The atherogenic index of plasma (AIP) and systematic inflammation, as measured by high-sensitivity C-reactive protein (hsCRP), are predictors of diabetes, but their combined impacts on incident diabetes are poorly understood. Using a nationally representative cohort in China, we aimed to investigate the association of AIP and hsCRP with incident diabetes among middle-aged and elderly adults. METHODS This cohort comprised 9,112 participants aged at least 45 years from 125 cities in the China Health and Retirement Longitudinal Study who were free of diabetes at baseline in 2011. Of these, 5,048 participants were followed up until 2015. The AIP was calculated as Log10[TG (mg/dL)/HDL-C(mg/dL)]. Multivariate logistic regression and linear mixed-effect (LME) models were performed to evaluate the associations of AIP, hsCRP, and incident diabetes as well as glycemic biomarkers. Receiver operating characteristic (ROC) curves were used to evaluate their diagnostic values. We conducted a mediation analysis to assess the direct and indirect associations between AIP and hsCRP with diabetes. RESULTS 489 (9.7%) cases developed diabetes during four years. Higher levels of AIP and hsCRP were independently associated with diabetes. Compared to the lowest quartile of AIP or hsCRP, the highest quartile of AIP (adjusted odds ratio, aOR 2.53, 95% CI: 1.90-3.38) and hsCRP (aOR 2.38, 1.79-3.16) was significantly associated with incident diabetes. The joint effects showed that participants with higher levels of AIP and hsCRP had significantly higher aOR of 2.76 (2.13-3.57). The LME models showed AIP and hsCRP were related to an increased level of fasting blood glucose and glycated hemoglobin. The combination of AIP and hsCRP has better predictive efficacy (area under the curve, AUC: 0.628, 0.601-0.654) for incident diabetes than alone. Mediation analyses showed that high AIP significantly mediated 25.4% of the association between hsCRP and diabetes, and hsCRP simultaneously mediated 5.7% of the association between AIP and diabetes. CONCLUSIONS This cohort suggests combined effects and mutual mediation between the AIP and hsCRP on incident diabetes in China. Our findings provide clinical implications for monitoring and managing AIP and hsCRP levels to mitigate the development of diabetes.
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Affiliation(s)
- Tongshuai Wang
- Hongqiao International Institute of Medicine, Shanghai Tongren Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, 200336, China
- Clinical Research Unit Office, Tongren Hospital Shanghai Jiao Tong University School of Medicine, 200336, Shanghai, China
| | - Mengru Zhang
- Department of Endocrinology, The Second Affiliated Hospital of Soochow University, Suzhou, 215004, Jiangsu, China
| | - Wenxing Shi
- Department of Pharmaceutical and Biomedical Engineering, Clinical College of Anhui Medical University, Anhui, 230031, China
| | - Yongzhen Li
- Clinical Nutrition Department, Starkids Children's Hospital, Shanghai, New Hong Qiao Campus for Children's Hospital of Fudan University, Shanghai, 201106, China
- School of Public Health, Peking University, Beijing, 100191, China
| | - Tiantian Zhang
- School of Public Health, Fudan University, Shanghai, 200032, China
| | - Wenming Shi
- Shanghai First Maternity and Infant Hospital, School of Medicine, Tongji University, No. 2699 West Gaoke Road, Pudong New District, Shanghai, 201204, China.
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Jain PR, Ng HK, Tay D, Mina T, Low D, Sadhu N, Kooner IK, Gupta A, Li TF, Bertin N, Chin CWL, Fang CJ, Goh LL, Mok SQ, Peh SQ, Sabanayagam C, Jha V, Kasturiratne A, Katulanda P, Khawaja KI, Lim WK, Leong KP, Cheng CY, Yuan JM, Elliott P, Riboli E, Sing LE, Lee J, Ngeow J, Liu JJ, Best J, Kooner JS, Tai ES, Tan P, van Dam RM, Koh WP, Xueling S, Loh M, Chambers JC. Nuclear regulatory disturbances precede and predict the development of Type-2 diabetes in Asian populations. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2025:2025.02.14.25322264. [PMID: 39990582 PMCID: PMC11844604 DOI: 10.1101/2025.02.14.25322264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Indexed: 02/25/2025]
Abstract
To identify biomarkers and pathways to Type-2 diabetes (T2D), a major global disease, we completed array-based epigenome-wide association in whole blood in 5,709 Asian people. We found 323 Sentinel CpGs (from 314 genetic loci) that predict future T2D. The CpGs reveal coherent, nuclear regulatory disturbances in canonical immune activation pathways, as well as metabolic networks involved in insulin signalling, fatty acid metabolism and lipid transport, which are causally linked to development of T2D. The CpGs have potential clinical utility as biomarkers. An array-based composite Methylation Risk Score (MRS) is predictive for future T2D (RR: 5.2 in Q4 vs Q1; P=7×10-25), and is additive to genetic risk. Targeted methylation sequencing revealed multiple additional CpGs predicting T2D, and synthesis of a sequencing-based MRS that is strongly predictive for T2D (RR: 8.3 in Q4 vs Q1; P=1.0×10-11). Importantly, MRS varies between Asian ethnic groups, in a way that explains a large fraction of the difference in T2D risk between populations. We thus provide new insights into the nuclear regulatory disturbances that precede development of T2D, and reveal the potential for sequence-based DNA methylation markers to inform risk stratification in diabetes prevention.
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Affiliation(s)
- Pritesh R Jain
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Hong Kiat Ng
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Darwin Tay
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Theresia Mina
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Dorrain Low
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Nilanjana Sadhu
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Ishminder K Kooner
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
| | - Ananya Gupta
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Tai Fei Li
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Nicolas Bertin
- Precision Health Research (PRECISE), Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | | | - Chai Jin Fang
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Liuh Ling Goh
- Personalised Medicine Service, Tan Tock Seng Hospital, Singapore
| | - Shi Qi Mok
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Su Qin Peh
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
| | - Charumathi Sabanayagam
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Ophthalmology & Visual Sciences Academic Clinical Program, Duke-NUS Medical School, Singapore
| | | | | | | | | | - Weng Khong Lim
- Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
- SingHealth Duke-NUS Institute of Precision Medicine, Singapore
- SingHealth Duke-NUS Genomic Medicine Centre, Singapore
- Cancer & Stem Cell Biology Program, Duke-NUS Medical School, Singapore
| | - Khai Pang Leong
- Personalised Medicine Service, Tan Tock Seng Hospital, Singapore
| | - Ching-Yu Cheng
- Singapore Eye Research Institute, Singapore National Eye Centre, Singapore
- Centre for Innovation and Precision Eye Health, Yong Loo Lin School of Medicine, National University of Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Jian-Min Yuan
- University of Pittsburgh Medical Center Hillman Cancer Center, Pittsburgh, PA, USA
- Department of Epidemiology, School of Public Health, University of Pittsburgh, Pittsburgh, PA, USA
| | - Paul Elliott
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
| | - Elio Riboli
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
| | - Lee Eng Sing
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Jimmy Lee
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Institute of Mental Health, Singapore
| | - Joanne Ngeow
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Division of Medical Oncology, National Cancer Centre, Singapore
| | - Jian Jin Liu
- Human Genomics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - James Best
- Melbourne Medical School, University of Melbourne, Australia
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Jaspal S Kooner
- Department of Cardiology, Ealing Hospital, London North West Healthcare NHS Trust, Middlesex, United Kingdom
- Imperial College Healthcare NHS Trust, Imperial College London, London, United Kingdom
- Medical Research Council-Public Health England Centre for Environment and Health, Imperial College London, London, United Kingdom
- National Heart and Lung Institute, Imperial College London, London, United Kingdom
| | - E-Shyong Tai
- Precision Health Research (PRECISE), Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Division of Endocrinology, National University Hospital, Singapore
| | - Patrick Tan
- Precision Health Research (PRECISE), Singapore
- Duke-NUS Medical School, Singapore
| | - Rob M van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
- Department of Exercise and Nutrition Sciences, Milken Institute School of Public Health, The George Washington University, Washington DC, USA
| | - Woon-Puay Koh
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore
| | - Sim Xueling
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore
| | - Marie Loh
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
- National Skin Centre, Research Division, Singapore
| | - John C Chambers
- Population and Global Health, Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, United Kingdom
- Precision Health Research (PRECISE), Singapore
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Feng J, Shan X, Wang L, Lu J, Cao Y, Yang L. Association of Body Iron Metabolism with Type 2 Diabetes Mellitus in Chinese Women of Childbearing Age: Results from the China Adult Chronic Disease and Nutrition Surveillance (2015). Nutrients 2023; 15:nu15081935. [PMID: 37111154 PMCID: PMC10141641 DOI: 10.3390/nu15081935] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/21/2023] [Revised: 04/13/2023] [Accepted: 04/15/2023] [Indexed: 04/29/2023] Open
Abstract
High iron stores have been reported to be associated with type 2 diabetes mellitus (T2DM). However, evidence for the associations of iron metabolism with T2DM is inconsistent, and whether there is a threshold effect remains controversial. In the present study, we aimed to examine the associations between various iron biomarkers and the risk of T2DM as well as impaired glucose metabolism (IGM) and hyperglycemia in Chinese women of childbearing age. A total of 1145 women were divided into three groups (normal blood glucose metabolism group; IGM group; T2DM group). Biomarkers of iron metabolism (serum ferritin (SF), transferrin, soluble transferrin receptor (sTfR), transferrin saturation, serum iron, total body iron, and sTfR-to-lgferritin index) were measured. After adjusting for various confounding risk factors, SF and sTfR were positively associated with the risk of IGM (fourth vs. first quartile: SF odds ratio (OR) = 1.93 (95% CI 1.17-3.20) and sTfR OR = 3.08 (95% CI 1.84-5.14)) and T2DM (SF OR = 2.39 (95% CI 1.40-4.06) and sTfR OR = 3.84 (95% CI 2.53-5.83)). There was a nonlinear relationship between SF and risk of T2DM and hyperglycemia (p for nonlinearity < 0.01). Our findings suggested that SF and sTfR could be independent predictors of T2DM risk.
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Affiliation(s)
- Jie Feng
- Key Laboratory of Trace Element Nutrition of National Health Committee, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Xiaoyun Shan
- Key Laboratory of Trace Element Nutrition of National Health Committee, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
- Hunan Key Laboratory of Typical Environmental Pollution and Health Hazards, School of Public Health, Hengyang Medical School, University of South China, Hengyang 241001, China
| | - Lijuan Wang
- Key Laboratory of Trace Element Nutrition of National Health Committee, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Jiaxi Lu
- Key Laboratory of Trace Element Nutrition of National Health Committee, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Yang Cao
- Key Laboratory of Trace Element Nutrition of National Health Committee, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
| | - Lichen Yang
- Key Laboratory of Trace Element Nutrition of National Health Committee, National Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing 100050, China
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4
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Wai KM, Akuzawa R, Umeda Y, Munakata W, Takahashi Y, Nakaji S, Ihara K. Effects of body compositions on the associations between ferritin and diabetes parameters among Japanese community dwellers. J Trace Elem Med Biol 2023; 78:127174. [PMID: 37080017 DOI: 10.1016/j.jtemb.2023.127174] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2022] [Revised: 03/22/2023] [Accepted: 04/05/2023] [Indexed: 04/22/2023]
Abstract
BACKGROUND Ferritin is associated with an increased prevalence of diabetes mellitus. Moreover, the ferritin levels differ across the body compositions. Although there were studies reporting the association of ferritin and diabetes, the alteration in ferritin-diabetes association by body composition differences is rarely explained. Thus, the aim of this study is to identify the effects of body compositions on the association between ferritin and diabetes parameters among the Japanese population. METHODS This study analyzed the data of a cross-sectional study with 1065 subjects aged over 19 years in the Iwaki area, Japan. Independent variables were ferritin and body compositions, while dependent variables were blood sugar, HbA1c, and diabetes mellitus. Correlations between serum ferritin and blood sugar and HbA1c were analyzed using Spearman's Rank Correlation. Multivariate linear or logistic regressions were used to investigate the effects of body compositions (body fat percentage, muscle mass, or visceral fat level) on the ferritin-diabetes associations by adjusting the confounders. RESULTS There were significant positive correlations between ferritin and blood sugar in both sexes (p < 0.05), while a significant correlation between ferritin and HbA1c was found only in females (p < 0.001). Higher ferritin was significantly associated with an increase in blood sugar in individuals with normal body fat percentage (lowest vs. highest quartile group, coefficient=5.07, 95 % confidence intervals [CI]: 1.48-8.65), normal visceral fat level (lowest vs. highest quartile group, coefficient=4.84, 95 % CI: 1.74-7.94), and very high muscle mass (lowest vs. highest quartile group, coefficient=14.14, 95 % CI: 5.00-23.29). CONCLUSIONS By our study findings, individuals' body composition notably influenced the associations of serum ferritin and diabetes parameters, and the association was attenuated in obese individuals.
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Affiliation(s)
- Kyi Mar Wai
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Japan.
| | - Rei Akuzawa
- School of Medicine, Hirosaki University, Japan
| | - Yoko Umeda
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Japan
| | - Wataru Munakata
- Department of Hematology, National Cancer Center Hospital, Japan
| | - Yoshiko Takahashi
- Center of Innovation, Research Initiatives Organization, Hirosaki University, Japan
| | - Shigeyuki Nakaji
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Japan; Center of Innovation, Research Initiatives Organization, Hirosaki University, Japan
| | - Kazushige Ihara
- Department of Social Medicine, Graduate School of Medicine, Hirosaki University, Japan
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Shared metabolic and neuroimmune mechanisms underlying Type 2 Diabetes Mellitus and Major Depressive Disorder. Prog Neuropsychopharmacol Biol Psychiatry 2021; 111:110351. [PMID: 34000290 DOI: 10.1016/j.pnpbp.2021.110351] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/23/2021] [Revised: 05/12/2021] [Accepted: 05/12/2021] [Indexed: 12/25/2022]
Abstract
Type 2 Diabetes Mellitus (T2DM) is a chronic metabolic disease with symptoms that go beyond the domain of glucose metabolism. In fact, research has shown that T2DM is accompanied by neurodegeneration and neuroinflammation. Interestingly, Major Depressive Disorder (MDD), a mood disorder characterized mainly by depressed mood and anhedonia is a key feature of T2DM. A body of evidence demonstrates that there are many shared neuroimmune mechanisms underlying the pathophysiology of T2DM and MDD. Therefore, here we review the state-of-art regarding the underlying factors common to both T2DM and MDD. Furthermore, we briefly discuss how depressive symptoms in diabetic patients could be tackled by using novel therapeutic approaches uncovered by these shared mechanisms. Understanding the comorbidity of depression in diabetic patients is essential to fully address T2DM pathophysiology and treatment.
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Zhou J, Wang N, Wang D, Zhao R, Zhao D, Ouyang B, Peng X, Hao L. Interactive effects of serum ferritin and high sensitivity C-reactive protein on diabetes in hypertensive patients. J Trace Elem Med Biol 2021; 68:126824. [PMID: 34352498 DOI: 10.1016/j.jtemb.2021.126824] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/22/2021] [Revised: 06/07/2021] [Accepted: 07/26/2021] [Indexed: 12/27/2022]
Abstract
BACKGROUND Hypertensive patients, often characterized by chronic inflammation, are susceptible to diabetes. Evidence suggests that the positive association between serum ferritin (SF) and diabetes was affected by high-sensitivity C-reactive protein (hs-CRP), an inflammation marker. We investigate whether there was an interaction between SF and hs-CRP on diabetes in hypertensive patients. METHODS We analysed data of 1,735 hypertensive people in this cross-sectional study. Diabetes was diagnosed when fasting blood glucose ≥ 7.0 mmol/L and/or a previous clinical diagnosis of diabetes. Logistic regression models were used to estimate the association of the SF and hs-CRP with diabetes. Multiplicative interaction was evaluated by incorporating a cross-product term for SF and hs-CRP to the logistic regression model. Additive interaction was assessed by calculating the relative excess risk of interaction (RERI) and attributed proportion due to interaction (AP). RESULTS In the adjusted analysis, SF (highest vs lowest tertile: odds ratio [OR], 1.61; 95 % confidence interval [CI], 1.20-2.16) was positively associated with diabetes. There was no multiplicative interaction between SF and hs-CRP, but evidence of additive interaction in regard to diabetes (RERI: 0.86; 95 % CI: 0.06-1.67). Compared to the patients with low SF (lower two thirds) and low hs-CRP (≤ 2 mg/L), those with high SF (upper one third) and high hs-CRP (> 2 mg/L) had increased OR for diabetes (adjusted OR: 2.33 [1.65-3.30]), with 37.0 % of the effects attributed to the additive interaction (AP: 0.37; 95 % CI: 0.09-0.65). CONCLUSIONS Within a cross-sectional study consisting of hypertensive patients, co-exposure to high SF and high hs-CRP was synergistically associated with diabetes. Dietary intervention or pharmacological treatment to lowering SF concentration may help to reduce diabetes morbidity in hypertensive patient with chronic inflammation.
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Affiliation(s)
- Juan Zhou
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, and Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, 430030, PR China
| | - Ning Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, and Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, 430030, PR China
| | - Dongxia Wang
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, and Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, 430030, PR China
| | - Rui Zhao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, and Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, 430030, PR China
| | - Dan Zhao
- Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong Province, 518051, PR China
| | - Binfa Ouyang
- Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong Province, 518051, PR China
| | - Xiaolin Peng
- Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, Guangdong Province, 518051, PR China
| | - Liping Hao
- Department of Nutrition and Food Hygiene, Hubei Key Laboratory of Food Nutrition and Safety, and Ministry of Education (MOE) Key Laboratory of Environment and Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, 430030, PR China.
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Martínez-Soto JM, Candia-Plata MDC, López-Soto LF, Soto-Guzmán JA, Camacho-Villa AY, Álvarez-Hernández G, Mata-Pineda AL, Galván-Moroyoqui JM. Increased serum ferritin is associated with oxidized low-density lipoprotein in prediabetes patients: A pilot study. Heliyon 2021; 7:e06720. [PMID: 33912708 PMCID: PMC8063749 DOI: 10.1016/j.heliyon.2021.e06720] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/30/2020] [Revised: 02/15/2021] [Accepted: 04/01/2021] [Indexed: 11/18/2022] Open
Abstract
Aims This pilot study aimed to determine if increased serum ferritin (SF) is associated with cardiovascular risk factors in patients with prediabetes. Methods Eighteen patients with prediabetes and 36 subjects without prediabetes (control), non-white Hispanic, non-indigenous origin, Mexican mestizo descent were included. Participants had no inflammation, or vascular complications. SF and metabolic markers were evaluated in both groups. Results SF and oxidized low-density lipoprotein (oxLDL) were increased in prediabetes subjects. Moreover, in prediabetes and control groups as a whole, natural logarithm (ln)-SF correlated with oxLDL and ln-oxLDL/LDL after adjustment for sex, ln-age, ln-fasting plasma glucose (FPG), ln-body mass index, ln-triglyceride (TG), total cholesterol (TC), and high-density lipoproteins. Finally, ln-SF was an independent contributor to ln-oxLDL/LDL ratio in control and prediabetes subjects (β = 0.2915) after the introduction of potential confounders such as FPG, TC, TG, and hypertension. Conclusions The results of this study indicate that hyperferritinemia is associated with oxLDL, considered one of the main cardiovascular risk factors, which allows us to suggest that an increase in SF could contribute to the progression of prediabetes, prior to the appearance of diabetes. Further research is required to establish a causal relationship of iron disruption metabolism in oxLDL generation under prediabetes conditions.
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Affiliation(s)
- Juan Manuel Martínez-Soto
- Doctorado en Ciencias Químico Biológicas y de la Salud, Universidad de Sonora, Hermosillo, Sonora, Mexico
| | | | - Luis Fernando López-Soto
- Departamento de Medicina y Ciencias de la Salud, Universidad de Sonora, Hermosillo, Sonora, Mexico
| | | | | | | | - Ana Lourdes Mata-Pineda
- Departamento de Medicina y Ciencias de la Salud, Universidad de Sonora, Hermosillo, Sonora, Mexico
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Alomari MA, Al-sheyab NA, Shattnawi KK, Khabour OF. Gender-specific differences in plasma ferritin in adolescents smoking cigarettes versus waterpipe smoking: the Irbid-TRY Project. Arch Med Sci 2021; 20:806-812. [PMID: 39050182 PMCID: PMC11264140 DOI: 10.5114/aoms/115011] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/30/2019] [Accepted: 12/02/2019] [Indexed: 07/27/2024] Open
Abstract
Introduction Ferritin has been implicated in body physiology and pathology. Smoking cigarettes (Cg) alters ferritin metabolism. Waterpipe (Wp) smoking has recently reemerged as a global epidemic and is linked to the most devastating diseases. However, the effect of smoking Wp on ferritin is not known. Therefore, the current study compared plasma ferritin in adolescents smoking Cg, Wp, both (CgWp) versus never smoked. Material and methods Self-reported smoking status and plasma ferritin levels were obtained from 849 boys (n = 470) and girls (n = 379) in the 7th-10th grade (age range = 13-17 years). Results The ANCOVA revealed a main effect for gender (p < 0.000) and smoking status (p < 0.02) without an interaction effect (p > 0.9). Post-hoc analysis showed greater plasma ferritin in the adolescents smoking Wp (p < 0.03) and CgWp (p < 0.004) versus never smoked. Gender-stratified ANCOVA showed a main effect for smoking status in the boys (p < 0.02) and girls (p < 0.03). Additional comparisons among the boys showed greater plasma ferritin in the Wp (p < 0.006) and CgWp (p < 0.008) smoking groups versus never smoking, without differences (p > 0.5) between Wp and CgWp smoking. Another subgroup comparison showed greater plasma ferritin in the girls smoking Cg (p < 0.02) and CgWp (p < 0.02) versus never smoking, without a difference (p > 0.3) between Cg and CgWp smoking. Conclusions The results indicate that ferritin is elevated in adolescent smokers, particularly the boys smoking Wp and CgWp and in the girls smoking Cg and CgWp.
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Affiliation(s)
- Mahmoud A. Alomari
- Department of Physical Education, Qatar University, Doha, Qatar
- Division of Physical Therapy, Department of Rehabilitation Sciences, Jordan University of Science and Technology, Irbid, Jordan
| | - Nihaya A. Al-sheyab
- Department of Allied Medical Sciences, Jordan University of Science and Technology, Irbid, Jordan
- Department of Maternal and Child Nursing, Jordan University of Science and Technology, Irbid, Jordan
| | - Khulood K. Shattnawi
- Department of Maternal and Child Nursing, Jordan University of Science and Technology, Irbid, Jordan
| | - Omar F. Khabour
- Department of Medical Laboratory Sciences, Jordan University of Science and Technology, Irbid, Jordan
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9
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Díaz-López A, Iglesias-Vázquez L, Pallejà-Millán M, Rey Reñones C, Flores Mateo G, Arija V. Association between Iron Status and Incident Type 2 Diabetes: A Population-Based Cohort Study. Nutrients 2020; 12:nu12113249. [PMID: 33114064 PMCID: PMC7690731 DOI: 10.3390/nu12113249] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.6] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/02/2020] [Revised: 10/19/2020] [Accepted: 10/20/2020] [Indexed: 02/08/2023] Open
Abstract
Type 2 diabetes poses a major public health challenge. Here, we conducted a cohort study with a large sample size to determine the association of baseline serum ferritin (SF), a marker of iron status, with incident type 2 diabetes in primary healthcare patients in Catalonia, a western Mediterranean region. A total of 206,115 patients aged 35–75 years without diabetes and with available baseline SF measurements were eligible. The variables analyzed included sociodemographic characteristics, anthropometry, lifestyle, morbidity and iron status (SF, serum iron and hemoglobin). Incident type 2 diabetes during follow-up (2006–2016) was ascertained using the International Classification of Diseases, 10th edition. Cox proportional-hazards models adjusted for multiple baseline confounders/mediators were used to estimate hazard ratios (HRs). Over a median follow-up of 8.4 years, 12,371 new cases of type 2 diabetes were diagnosed, representing an incidence rate of 7.5 cases/1000 persons/year. Since at baseline, the median SF concentration was higher in subjects who developed type 2 diabetes (107.0 µg/L vs. 60.3 µg/L; p < 0.001), SF was considered an independent risk predictor for type 2 diabetes; the multivariable-adjusted HRs for incident type 2 diabetes across SF quartiles 1–4 were 1.00 (reference), 0.95 (95% CI = 0.85–1.06), 1.18 (95% CI = 1.65–1.31) and 1.51 (95% CI = 1.36–1.65), respectively. Our study suggested that higher baseline SF was significantly associated with an increased risk of new-onset type 2 diabetes in Catalan primary healthcare users, supporting the relevance of monitoring iron stores in order to improve the diagnosis and management of diabetes in clinical practice.
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Affiliation(s)
- Andrés Díaz-López
- Medicine and Health Sciences Faculty, Universitat Rovira i Virgili (URV), 43201 Reus, Spain; (A.D.-L.); (L.I.-V.)
- Institute of Health Research Pere Virgili (IISPV), 43204 Reus, Spain
- Center of Biomedical Research in Physiopathology of Obesity and Nutrition (CIBEROBN), Institute of Health Carlos III, 28029 Madrid, Spain
| | - Lucía Iglesias-Vázquez
- Medicine and Health Sciences Faculty, Universitat Rovira i Virgili (URV), 43201 Reus, Spain; (A.D.-L.); (L.I.-V.)
- Institute of Health Research Pere Virgili (IISPV), 43204 Reus, Spain
- Research Group in Nutrition and Mental Health (NUTRISAM), URV, 43201 Reus, Spain
| | - Meritxell Pallejà-Millán
- Unit of Research Support Reus-Tarragona, Jordi Gol University Institute for Primary Care Research (IDIAP), 43202 Tarragona, Spain; (M.P.-M.); (C.R.R.); (G.F.M.)
| | - Cristina Rey Reñones
- Unit of Research Support Reus-Tarragona, Jordi Gol University Institute for Primary Care Research (IDIAP), 43202 Tarragona, Spain; (M.P.-M.); (C.R.R.); (G.F.M.)
| | - Gemma Flores Mateo
- Unit of Research Support Reus-Tarragona, Jordi Gol University Institute for Primary Care Research (IDIAP), 43202 Tarragona, Spain; (M.P.-M.); (C.R.R.); (G.F.M.)
| | - Victoria Arija
- Medicine and Health Sciences Faculty, Universitat Rovira i Virgili (URV), 43201 Reus, Spain; (A.D.-L.); (L.I.-V.)
- Institute of Health Research Pere Virgili (IISPV), 43204 Reus, Spain
- Research Group in Nutrition and Mental Health (NUTRISAM), URV, 43201 Reus, Spain
- Unit of Research Support Reus-Tarragona, Jordi Gol University Institute for Primary Care Research (IDIAP), 43202 Tarragona, Spain; (M.P.-M.); (C.R.R.); (G.F.M.)
- Correspondence: ; Tel.: +34-977-75-93-34
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10
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Sciacqua A, Ventura E, Tripepi G, Cassano V, D'Arrigo G, Roumeliotis S, Maio R, Miceli S, Perticone M, Andreozzi F, Sesti G, Perticone F. Ferritin modifies the relationship between inflammation and arterial stiffness in hypertensive patients with different glucose tolerance. Cardiovasc Diabetol 2020; 19:123. [PMID: 32758229 PMCID: PMC7409693 DOI: 10.1186/s12933-020-01102-8] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/20/2020] [Accepted: 07/25/2020] [Indexed: 12/11/2022] Open
Abstract
Background Ferritin, a crucial element for iron homeostasis, is associated with chronic diseases characterized by subclinical inflammation such as essential arterial hypertension and type 2 diabetes mellitus (T2DM), showing a prognostic value in different clinical settings. We investigated whether ferritin is associated with arterial stiffness (AS), an early indicator of atherosclerosis, and if it could act as effect modifier on the relationship between inflammation and AS in hypertensive patients with different glucose tolerance. Methods We enrolled 462 newly diagnosed untreated hypertensive (HT) patients. All subjects underwent an oral glucose tolerance test. Insulin sensitivity was assessed by MATSUDA index and ferritin levels were estimated by immunoradiometric assay. AS was defined by carotid-femoral pulse wave velocity (PWV). Results Out of 462 patients, 271 showed normal glucose tolerance (HT/NGT), 146 impaired glucose tolerance (HT/IGT) and 45 were diabetic (HT/T2DM). Iron levels significantly decreased and transferrin and ferritin significantly increased from the first to the third group. PWV values were significantly higher in HT/IGT and HT/T2DM patients. PWV was related directly with ferritin, high sensitivity C reactive protein (hs-CRP), transferrin, and inversely with MATSUDA index. Ferritin resulted the strongest determinant of PWV explaining a 14.9% of its variation; moreover it was a strong modifier of the relationship between hs-CRP and PWV. The estimated augmentation in PWV portended by a fixed increase in hs-CRP, was higher across increasing values of ferritin. Conclusion Ferritin represents an independent risk factor of arterial stiffness in our study population and a strong effect modifier on the relationship between inflammation and PWV. However, further studies are needed to fully elucidate the potential role of this biomarker in human atherosclerosis.
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Affiliation(s)
- Angela Sciacqua
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario di Germaneto, V.le Europa, 88100, Catanzaro, Italy.
| | - Ettore Ventura
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario di Germaneto, V.le Europa, 88100, Catanzaro, Italy
| | - Giovanni Tripepi
- Institute of Clinical Physiology (IFC-CNR), Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension of Reggio Calabria, Reggio Calabria, Italy
| | - Velia Cassano
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario di Germaneto, V.le Europa, 88100, Catanzaro, Italy
| | - Graziella D'Arrigo
- Institute of Clinical Physiology (IFC-CNR), Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension of Reggio Calabria, Reggio Calabria, Italy
| | - Stefanos Roumeliotis
- Institute of Clinical Physiology (IFC-CNR), Clinical Epidemiology and Physiopathology of Renal Diseases and Hypertension of Reggio Calabria, Reggio Calabria, Italy.,Division of Nephrology and Hypertension, 1st Department of Internal Medicine, AHEPA Hospital, School of Medicine, Aristotle University of Thessaloniki, Thessaloniki, Greece
| | - Raffale Maio
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario di Germaneto, V.le Europa, 88100, Catanzaro, Italy
| | - Sofia Miceli
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario di Germaneto, V.le Europa, 88100, Catanzaro, Italy
| | - Maria Perticone
- Department of Experimental and Clinical Medicine, University Magna Græcia of Catanzaro, Catanzaro, Italy
| | - Francesco Andreozzi
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario di Germaneto, V.le Europa, 88100, Catanzaro, Italy
| | - Giorgio Sesti
- Department of Clinical and Molecular Medicine, University of Rome-Sapienza, Rome, Italy
| | - Francesco Perticone
- Department of Medical and Surgical Sciences, University Magna Græcia of Catanzaro, Campus Universitario di Germaneto, V.le Europa, 88100, Catanzaro, Italy
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11
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Xu R, Jiang X, Fan Z, Wan Y, Gao X. The trajectory of high sensitivity C-reactive protein is associated with incident diabetes in Chinese adults. Nutr Metab (Lond) 2020; 17:49. [PMID: 32612667 PMCID: PMC7325292 DOI: 10.1186/s12986-020-00472-w] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/11/2020] [Accepted: 06/24/2020] [Indexed: 01/11/2023] Open
Abstract
Background We performed a cohort study to evaluate the association between the CRP trajectory and incident diabetes in Chinese adults. Methods Included were 6439 adults (4111 men and 2249 women; aged 46.6 ± 11.9 years). The concentration of high sensitivity CRP (hs-CRP) was measured in 2013 (baseline), 2014, and 2015. The hs-CRP trajectory was identified based the above three measurements by latent mixture modeling. Incident diabetes cases were diagnosed by fasting blood glucose (≥126 mg/dl) or Hb A1c (≥6.5%) during subsequent 3 years (2016–2018). Results Hs-CRP concentration during 2013–2015 was classified into 3 levels: low (< 1.0 mg/L), moderate (1.0–3.0 mg/L), and high (≥3.0 mg/L) based on a statement by American Heart Association. We named four hs-CRP trajectories as following: “low-stable” (low in 2013 and maintained at low concentration in 2014 and 2015), “moderate-fluctuated” (moderate in 2013, then increased to high concentration in 2014, and decreased to low concentration in 2015), “high-decreased” (high in 2013 but decreased to moderate concentration in 2014 and 2015), and “moderate-increased (moderate in 2013 and increased to high concentration in 2014 and 2015)”. We identified 235 incident diabetes during subsequent 3 years. The adjusted HR for incident diabetes was 1.71 (95% CI: 1.02, 2.87) comparing the moderate-increased and the low-stable group, after adjusting for potential confounders. In the secondary analyses, two single-measured hs-CRP concentration (in 2013 or in 2015) and the average of hs-CRP were associated with high risk of diabetes (P-trend< 0.01 for all). Conclusions The hs-CRP trajectory pattern was associated with altered incident diabetes in Chinese adults.
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Affiliation(s)
- Renying Xu
- Department of Clinical Nutrition, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China.,Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Xiaomin Jiang
- Department of Clinical Nutrition, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China
| | - Zhuping Fan
- Department of Digestion, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Yanping Wan
- Department of Clinical Nutrition, Ren Ji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, 200127 China.,Shanghai Key Laboratory of Pediatric Gastroenterology and Nutrition, Shanghai, China
| | - Xiang Gao
- Department of Nutritional Sciences, The Pennsylvania State University, University Park, PA USA
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12
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Pitchika A, Schipf S, Nauck M, Dörr M, Lerch MM, Felix SB, Markus MRP, Völzke H, Ittermann T. Associations of iron markers with type 2 diabetes mellitus and metabolic syndrome: Results from the prospective SHIP study. Diabetes Res Clin Pract 2020; 163:108149. [PMID: 32304796 DOI: 10.1016/j.diabres.2020.108149] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/08/2019] [Revised: 03/04/2020] [Accepted: 04/07/2020] [Indexed: 01/29/2023]
Abstract
AIMS To assess the role of serum ferritin and transferrin with prevalent and incident type 2 diabetes mellitus (T2DM) and metabolic syndrome (MetS) and whether these associations are independent of inflammatory markers and hepatic enzymes. METHODS We analyzed data from 3,232 participants aged 20-81 years of the population-based Study of Health in Pomerania (SHIP) from Northeast Germany with a median follow-up time of 10.6 years. Logistic and Cox regression analyses were performed. RESULTS Serum ferritin concentrations were associated with a higher prevalence of T2DM (total population OR: 1.16 [95% CI: 1.07, 1.26]; men OR: 1.18 [95% CI: 1.08, 1.30) and MetS (total population OR: 1.27 [95% CI: 1.16, 1.38]; men OR: 1.26 [95% CI: 1.15, 1.38]) in the total population and men independently of inflammatory markers and hepatic enzymes. In longitudinal analyses, baseline ferritin concentrations were associated with a higher risk of incident T2DM in women (HR: 1.38 [95% CI: 1.10, 1.71]), but not in men or in the total population and also with a higher risk of incident MetS (HR: 1.09 [95% CI: 1.01, 1.17]) in the total population. These longitudinal associations attenuated considerably after adjustment for hepatic enzymes but not inflammatory markers. Transferrin was not associated with any of the outcomes. CONCLUSIONS Our results suggest a link between ferritin and T2DM and MetS, which might be partially explained by hepatic dysfunction.
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Affiliation(s)
- Anitha Pitchika
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany.
| | - Sabine Schipf
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
| | - Matthias Nauck
- Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Greifswald, Germany; German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany
| | - Marcus Dörr
- German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany; Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Markus M Lerch
- Department of Medicine A, University Medicine Greifswald, Greifswald, Germany
| | - Stephan B Felix
- German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany; Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany
| | - Marcello Ricardo Paulista Markus
- German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany; Department of Internal Medicine B, University Medicine Greifswald, Greifswald, Germany; DZD (German Center for Diabetes Research), Site Greifswald, Greifswald, Germany
| | - Henry Völzke
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany; German Center for Cardiovascular Research (DZHK e.V.), Partner site Greifswald, Greifswald, Germany; DZD (German Center for Diabetes Research), Site Greifswald, Greifswald, Germany
| | - Till Ittermann
- Institute for Community Medicine, University Medicine Greifswald, Greifswald, Germany
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Jiang L, Wang K, Lo K, Zhong Y, Yang A, Fang X, Akezhuoli H, Song Z, Chen L, An P, Xu M, Min J, Wang F. Sex-Specific Association of Circulating Ferritin Level and Risk of Type 2 Diabetes: A Dose-Response Meta-Analysis of Prospective Studies. J Clin Endocrinol Metab 2019; 104:4539-4551. [PMID: 31074789 DOI: 10.1210/jc.2019-00495] [Citation(s) in RCA: 65] [Impact Index Per Article: 10.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2019] [Accepted: 05/06/2019] [Indexed: 12/15/2022]
Abstract
CONTEXT Although the role of iron in the development of type 2 diabetes (T2D) has long been a concern, prospective studies directly linking body iron stores to T2D risk in a sex-dependent context have been inconsistent. OBJECTIVE A systematic meta-analysis was conducted to explore the sex-specific association of circulating ferritin with T2D risk. DATA SOURCES We searched PubMed, Web of Science, and EMBASE databases to identify available prospective studies through 1 August 2018. RESULTS Fifteen prospective studies comprising 77,352 participants and 18,404 patients with T2D, aged 20 to 80 years, and with ∼3 to 17 years of follow-up were identified. For each 100-μg/L increment in ferritin levels of overall participants, T2D risk increased by 22% (RR, 1.22; 95% CI, 1.14 to 1.31). Of note, major heterogeneities by sex were identified, with increased ferritin level having an apparently greater effect on T2D risk in women (RR, 1.53; 95% CI, 1.29 to 1.82) than in men (RR, 1.21; 95% CI, 1.15 to 1.27) after exclusion of a study with high heterogeneity (41,512 men and 6974 women for sex-specific analyses; P = 0.020 for sex difference). Further nonlinear analysis between circulating ferritin and T2D risk also showed sex-dimorphic association in that the T2D risk of women was twice as strong in magnitude as that of men at the same ferritin level. CONCLUSIONS Greater circulating ferritin levels were independently associated with increased T2D risk, which appeared stronger among women than men. Our findings provide prospective evidence for further testing of the utility of ferritin levels in predicting T2D risk in a sex-specific manner.
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Affiliation(s)
- Li Jiang
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China
- The First Affiliated Hospital, School of Public Health, Zhengzhou University, Zhengzhou, China
| | - Kai Wang
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Kenneth Lo
- Departments of Cardiology and Endocrinology, Guangdong Provincial People's Hospital, Guangdong Academy of Medical Sciences, Guangzhou, China
- Centre for Global Cardiometabolic Health, Department of Epidemiology, Brown University, Providence, Rhode Island
| | - Yueyang Zhong
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Aimin Yang
- Hong Kong Institute of Diabetes and Obesity, The Chinese University of Hong Kong, Kong Kong SAR, China
| | - Xuexian Fang
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Hailati Akezhuoli
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Zijun Song
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Liyun Chen
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Peng An
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China
| | - Mingqing Xu
- Bio-X Institutes, Key Laboratory for the Genetics of Developmental and Neuropsychiatric Disorders (Ministry of Education), Shanghai Jiao Tong University, Shanghai, China
| | - Junxia Min
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
| | - Fudi Wang
- The First Affiliated Hospital, School of Public Health, Institute of Translational Medicine, Zhejiang University School of Medicine, Hangzhou, China
- Beijing Advanced Innovation Center for Food Nutrition and Human Health, China Agricultural University, Beijing, China
- The First Affiliated Hospital, School of Public Health, Zhengzhou University, Zhengzhou, China
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Zhou Q, Guo W, Jia Y, Xu J. Comparison of Chromium and Iron Distribution in Serum and Urine among Healthy People and Prediabetes and Diabetes Patients. BIOMED RESEARCH INTERNATIONAL 2019; 2019:3801639. [PMID: 30915353 PMCID: PMC6409039 DOI: 10.1155/2019/3801639] [Citation(s) in RCA: 14] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/19/2018] [Accepted: 02/10/2019] [Indexed: 12/23/2022]
Abstract
The effect of chromium (Cr) and iron (Fe) on prevalence of diabetes has received great attention. This study investigated serum and urinary Cr and Fe levels among patients with impaired fasting glucose (IFG), impaired glucose tolerance (IGT), type 1 diabetes (T1D), and type 2 diabetes (T2D) in the Northeast Chinese population. From January 2010 to October 2011, patients with IFG (n=12), IGT (n=15), T1D (n=25), T2D (n=137) and healthy controls (n=50) were enrolled in the First Hospital of Jilin University. Trace elements were detected using an inductively coupled plasma spectrometer. Serum Cr levels decreased in T2D without complications, diabetic retinopathy (DR), diabetic peripheral neuropathy (DPN), and diabetic nephropathy (DN) (P<0.05). The urinary Cr level in T1D was the highest of all, which significantly exceeded those of the T2D groups with and without complications. No significant differences of serum Fe levels were found among all groups. The urinary Fe level of T1D was significantly increased (P<0.05). The correlation between serum Cr and serum Fe in T2D was obviously positive (P<0.05). One month of simvastatin therapy exerted no effects on serum or urinary Cr and Fe levels. These results suggest the potential role of Cr and Fe in diabetes should receive attention.
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Affiliation(s)
- Qi Zhou
- Department of Pediatrics, First Hospital of Jilin University, Changchun 130021, China
| | - Wenjia Guo
- Department of Laboratory Medicine, First Hospital of Jilin University, Changchun 130021, China
| | - Yanan Jia
- Department of Laboratory Medicine, First Hospital of Jilin University, Changchun 130021, China
| | - Jiancheng Xu
- Department of Laboratory Medicine, First Hospital of Jilin University, Changchun 130021, China
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15
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Wang Y, Sun L, Lin X, Yuan JM, Koh WP, Pan A. Retinol binding protein 4 and risk of type 2 diabetes in Singapore Chinese men and women: a nested case-control study. Nutr Metab (Lond) 2019; 16:3. [PMID: 30651745 PMCID: PMC6329092 DOI: 10.1186/s12986-018-0329-0] [Citation(s) in RCA: 16] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2018] [Accepted: 12/18/2018] [Indexed: 01/21/2023] Open
Abstract
Background Although retinol binding protein 4 (RBP4) has been implicated in insulin resistance in experimental studies, the association between RBP4 and risk of type 2 diabetes remains unclear. We assessed this association in a Chinese population, and pooled our results with those from two prior studies. Methods Plasma RBP4 levels were measured among 571 incident type 2 diabetes cases and 571 controls nested within the Singapore Chinese Health Study. All participants were free of diabetes, cancer and cardiovascular disease at blood collection (1999–2004). Incident cases of physician-diagnosed diabetes were self-reported at subsequent interviews (2006–2010). Results Plasma RBP4 levels were significantly higher in men than women, and the respective median values were 30 (interquartile range: 24–35) μg/mL and 25 (interquartile range: 21–31) μg/mL, respectively. With adjustment for diabetes risk factors, compared to the lowest quartile, the odds ratio (OR) and confidence interval (CI) for risk of type 2 diabetes associated with the highest quartile of RBP4 levels were 1.23 (0.73–2.07; P-trend = 0.14) in all subjects, 0.63 (0.27–1.45; P-trend = 0.65) in men, and 2.29 (1.05–5.00; P-trend = 0.018) in women. The difference in the risk estimates between men and women was statistically significant (P-interaction = 0.032). When we pooled our results with two prior studies, ORs (95% CIs) comparing high versus low category of RBP4 was 1.01 (0.70–1.46; I2 = 8.2%; P-heterogeneity = 0.34) in men, and 1.73 (1.28–2.33; I2 = 0%; P-heterogeneity = 0.80) in women. Conclusions Increased plasma RBP4 levels were associated with higher risk of type 2 diabetes in women but not in men. Electronic supplementary material The online version of this article (10.1186/s12986-018-0329-0) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Yeli Wang
- 1Health Services and Systems Research, Duke-NUS Medical School, Singapore, 169857 Singapore
| | - Liang Sun
- 2CAS Key Laboratory of Nutrition, Metabolism and Food safety, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031 China
| | - Xu Lin
- 2CAS Key Laboratory of Nutrition, Metabolism and Food safety, Shanghai Institute of Nutrition and Health, Shanghai Institutes for Biological Sciences, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, 200031 China
| | - Jian-Min Yuan
- 3Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, 15232 PA USA.,4Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, 15261 PA USA
| | - Woon-Puay Koh
- 1Health Services and Systems Research, Duke-NUS Medical School, Singapore, 169857 Singapore.,5Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 117549 Singapore
| | - An Pan
- 6Department of Epidemiology and Biostatistics, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, 430030 Hubei Province China
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Wang JY, Liu CS, Lung CH, Yang YT, Lin MH. Investigating spousal concordance of diabetes through statistical analysis and data mining. PLoS One 2017; 12:e0183413. [PMID: 28817654 PMCID: PMC5560637 DOI: 10.1371/journal.pone.0183413] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2017] [Accepted: 08/03/2017] [Indexed: 12/30/2022] Open
Abstract
OBJECTIVE Spousal clustering of diabetes merits attention. Whether old-age vulnerability or a shared family environment determines the concordance of diabetes is also uncertain. This study investigated the spousal concordance of diabetes and compared the risk of diabetes concordance between couples and noncouples by using nationally representative data. METHODS A total of 22,572 individuals identified from the 2002-2013 National Health Insurance Research Database of Taiwan constituted 5,643 couples and 5,643 noncouples through 1:1 dual propensity score matching (PSM). Factors associated with concordance in both spouses with diabetes were analyzed at the individual level. The risk of diabetes concordance between couples and noncouples was compared at the couple level. Logistic regression was the main statistical method. Statistical data were analyzed using SAS 9.4. C&RT and Apriori of data mining conducted in IBM SPSS Modeler 13 served as a supplement to statistics. RESULTS High odds of the spousal concordance of diabetes were associated with old age, middle levels of urbanization, and high comorbidities (all P < 0.05). The dual PSM analysis revealed that the risk of diabetes concordance was significantly higher in couples (5.19%) than in noncouples (0.09%; OR = 61.743, P < 0.0001). CONCLUSIONS A high concordance rate of diabetes in couples may indicate the influences of assortative mating and shared environment. Diabetes in a spouse implicates its risk in the partner. Family-based diabetes care that emphasizes the screening of couples at risk of diabetes by using the identified risk factors is suggested in prospective clinical practice interventions.
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Affiliation(s)
- Jong-Yi Wang
- Department of Health Services Administration, China Medical University, Taichung, Taiwan
| | - Chiu-Shong Liu
- Department of Family Medicine, China Medical University Hospital, Taichung, Taiwan
- Department of Medicine, China Medical University, Taichung, Taiwan
| | - Chi-Hsuan Lung
- Department of Social Work, National Quemoy University, Kinmen, Taiwan
| | - Ya-Tun Yang
- Management Center, Kuang Tien General Hospital, Taichung, Taiwan
| | - Ming-Hung Lin
- Department of Public Health, China Medical University, Taichung, Taiwan
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