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Huang L, Liu Z, Zhang H, Li D, Li Z, Huang J, He J, Lu L, Wen H, Yuan H, Gu Y, Ye Y, Lu J, Liao B, Li Z, Wu L, Liu J, Li M. The Association between Serum Lipid Profile Levels and Hypertension Grades: A Cross-Sectional Study at a Health Examination Center. High Blood Press Cardiovasc Prev 2024:10.1007/s40292-024-00683-9. [PMID: 39602007 DOI: 10.1007/s40292-024-00683-9] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/11/2024] [Accepted: 10/06/2024] [Indexed: 11/29/2024] Open
Abstract
INTRODUCTION Hypertension and dyslipidemia are major cardiovascular risk factors that often coexist. Hyperlipidemia is a crucial modifiable risk factor in preventing cardiovascular disease. AIM We aimed to explore the relationship between lipid levels and the grading of hypertension in a community-based adult population. METHODS A total of 63,091 non-employed individuals were included in this study. Measurements included systolic blood pressure (SBP), diastolic blood pressure (DBP), body mass index (BMI), fasting plasma glucose (FPG), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total bilirubin (STB), serum creatinine (SCr), blood urea nitrogen (BUN), total cholesterol (TC), triglycerides (TG), low-density lipoprotein cholesterol (LDL-c), and high-density lipoprotein cholesterol (HDL-c). Chi-square and t-tests were used to obtain basic population characteristics. Multivariate logistic regression was used to evaluate the association between the prevalence of hypertension and lipid profiles, as well as to identify influencing factors. A P-value < 0.05 was considered statistically significant. Statistical charts were utilized to analyze the relationship between lipid parameters and hypertension grades. RESULTS A total of 30,588 men and 32,503 women with an average age of 64.57 ± 12.5 years participated in this study. After adjusting STB and TC, every 1 mmol/L increase in TG and LDL-c was associated with a 6.0% and 6.5% increase in the prevalence of hypertension, respectively. Conversely, for every 1 mmol/L increase in HDL-c, the prevalence of hypertension decreased by 4.1%. Increases in TG and LDL-c levels were observed across all grades of hypertension, while very high HDL-c was significantly associated in grade III hypertension (1.54→1.66 mmol/L). Additionally, age, BMI, FPG, ALT, AST, SCr, and BUN significantly influenced the association between hypertension and lipid levels. CONCLUSION Hyperlipidemia and hypertension often coexist in health examination populations. Elevated levels of TG and LDL-C are associated with all grades of hypertension, while extremely high HDL-C level is linked to more severe hypertension.
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Affiliation(s)
- Ling Huang
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Zhangyi Liu
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Huayang Zhang
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Dan Li
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Zhiyi Li
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Jie Huang
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Jie He
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Lin Lu
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Hu Wen
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Huan Yuan
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Yinshan Gu
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Yunli Ye
- Department of Epidemiology and Biostatistics, School of Public Health, Southwest Medical University, Luzhou, 646000, People's Republic of China
| | - Jian Lu
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China
| | - Bin Liao
- Department of Cardiovascular Surgery, The Affiliated Hospital, Southwest Medical University, Metabolic Vascular Diseases Key Laboratory of Sichuan Province, Key Laboratory of Cardiovascular Remodeling and Dysfunction, Luzhou, 646000, Sichuan, People's Republic of China
| | - Zhengye Li
- Xuyong People's Hospital, Luzhou, 646400, People's Republic of China
| | - Lin Wu
- Department of Cardiology, Peking University First Hospital, Beijing, People's Republic of China.
| | - Jinbo Liu
- Department of Laboratory Medicine, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan Province Engineering Technology Research Center of Molecular Diagnosis of Clinical Diseases Molecular Diagnosis of Clinical Diseases Key Laboratory of Luzhou, Luzhou, 646000, People's Republic of China.
| | - Miaoling Li
- Key Laboratory of Medical Electrophysiology of Ministry of Education and Medical Electrophysiological Key Laboratory of Sichuan Province, Collaborative Innovation Center for Prevention and Treatment of Cardiovascular Disease, Institute of Cardiovascular Research, School of Nursing, Southwest Medical University, Department of Cardiology, The Affiliated Hospital of Southwest Medical University, Luzhou, 646000, Sichuan, People's Republic of China.
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Wu D, Shi Y, Wang C, Li C, Lu Y, Wang C, Zhu W, Sun T, Han J, Zheng Y, Zhang L. Investigating the impact of extreme weather events and related indicators on cardiometabolic multimorbidity. Arch Public Health 2024; 82:128. [PMID: 39160599 PMCID: PMC11331640 DOI: 10.1186/s13690-024-01361-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2024] [Accepted: 08/11/2024] [Indexed: 08/21/2024] Open
Abstract
BACKGROUND The impact of weather on human health has been proven, but the impact of extreme weather events on cardiometabolic multimorbidity (CMM) needs to be urgently explored. OBJECTIVES Investigating the impact of extreme temperature, relative humidity (RH), and laboratory testing parameters at admission on adverse events in CMM hospitalizations. DESIGNS Time-stratified case-crossover design. METHODS A distributional lag nonlinear model with a time-stratified case-crossover design was used to explore the nonlinear lagged association between environmental factors and CMM. Subsequently, unbalanced data were processed by 1:2 propensity score matching (PSM) and conditional logistic regression was employed to analyze the association between laboratory indicators and unplanned readmissions for CMM. Finally, the previously identified environmental factors and relevant laboratory indicators were incorporated into different machine learning models to predict the risk of unplanned readmission for CMM. RESULTS There are nonlinear associations and hysteresis effects between temperature, RH and hospital admissions for a variety of CMM. In addition, the risk of admission is higher under low temperature and high RH conditions with the addition of particulate matter (PM, PM2.5 and PM10) and O3_8h. The risk is greater for females and adults aged 65 and older. Compared with first quartile (Q1), the fourth quartile (Q4) had a higher association between serum calcium (HR = 1.3632, 95% CI: 1.0732 ~ 1.7334), serum creatinine (HR = 1.7987, 95% CI: 1.3528 ~ 2.3958), fasting plasma glucose (HR = 1.2579, 95% CI: 1.0839 ~ 1.4770), aspartate aminotransferase/ alanine aminotransferase ratio (HR = 2.3131, 95% CI: 1.9844 ~ 2.6418), alanine aminotransferase (HR = 1.7687, 95% CI: 1.2388 ~ 2.2986), and gamma-glutamyltransferase (HR = 1.4951, 95% CI: 1.2551 ~ 1.7351) were independently and positively associated with unplanned readmission for CMM. However, serum total bilirubin and High-Density Lipoprotein (HDL) showed negative correlations. After incorporating environmental factors and their lagged terms, eXtreme Gradient Boosting (XGBoost) demonstrated a more prominent predictive performance for unplanned readmission of CMM patients, with an average area under the receiver operating characteristic curve (AUC) of 0.767 (95% CI:0.7486 ~ 0.7854). CONCLUSIONS Extreme cold or wet weather is linked to worsened adverse health effects in female patients with CMM and in individuals aged 65 years and older. Moreover, meteorologic factors and environmental pollutants may elevate the likelihood of unplanned readmissions for CMM.
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Affiliation(s)
- Di Wu
- School of Public Health, Xinjiang Medical University, Urumqi, China
| | - Yu Shi
- School of Public Health, Xinjiang Medical University, Urumqi, China
| | - ChenChen Wang
- Center for Disease Control and Prevention of Xinjiang Uygur Autonomous Region, Urumqi, China
| | - Cheng Li
- The First Affiliated Hospital of Xinjiang Medical University, Urumqi, China
| | - Yaoqin Lu
- Center for Disease Control and Prevention of Urumqi, Urumqi, China
| | - Chunfang Wang
- School of Public Health, Nanjing Medical University, Nanjing, China
| | - Weidong Zhu
- School of Computer and Information Engineering, Xinjiang Agricultural University, Urumqi, China
| | - Tingting Sun
- School of Agriculture, Xinjiang Agricultural University, Urumqi, China
| | - Junjie Han
- School of Nursing and Public Health, Yangzhou University, Yangzhou, China
| | - Yanling Zheng
- School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China
| | - Liping Zhang
- School of Medical Engineering and Technology, Xinjiang Medical University, Urumqi, China.
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Schoissengeier V, Maqboul L, Weber D, Grune T, Bürkle A, Moreno-Villaneuva M, Franceschi C, Capri M, Bernhard J, Toussaint O, Debacq-Chainiaux F, Weinberger B, Gonos ES, Sikora E, Dollé M, Jansen E, Slagboom PE, Hervonnen A, Hurme M, Breusing N, Frank J, Bulmer AC, Wagner KH. Association between bilirubin and biomarkers of metabolic health and oxidative stress in the MARK-AGE cohort. iScience 2024; 27:110234. [PMID: 39021797 PMCID: PMC11253506 DOI: 10.1016/j.isci.2024.110234] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/23/2024] [Revised: 05/06/2024] [Accepted: 06/06/2024] [Indexed: 07/20/2024] Open
Abstract
Recent studies have shown that elevated concentrations of unconjugated bilirubin (UCB) may be a protective host factor against the development of noncommunicable diseases (NCDs), whereas low levels of UCB are associated with the opposite effect. The results of this European study, in which 2,489 samples were tested for their UCB concentration using high-performance liquid chromatography (HPLC) and additional data from the MARK-AGE database were used for analysis, provide further evidence that elevated UCB concentrations are linked to a lower risk of developing NCDs and may act as a predictive marker of biological aging as individuals with elevated UCB concentrations showed favorable outcomes in metabolic health and oxidative-stress-related biomarkers. These findings underline the significance of studying individuals with moderate hyperbilirubinemia and investigate UCB routinely, also in the setting of aging, since this condition affects millions of people worldwide but has been underrepresented in clinical research and practice until now.
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Affiliation(s)
- Vanessa Schoissengeier
- Department of Nutritional Sciences, University of Vienna, Vienna 1090, Austria
- Vienna Doctoral School for Pharmaceutical, Nutritional and Sport Sciences (PhaNuSpo), University of Vienna, 1090 Vienna, Austria
| | - Lina Maqboul
- Department of Nutritional Sciences, University of Vienna, Vienna 1090, Austria
| | - Daniela Weber
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany
- Food4Future (F4F), c/o Leibniz Institute of Vegetable and Ornamental Crops (IGZ), 14979 Grossbeeren, Germany
| | - Tilman Grune
- Department of Molecular Toxicology, German Institute of Human Nutrition Potsdam-Rehbruecke (DIfE), 14558 Nuthetal, Germany
- German Center for Diabetes Research (DZD), 85764 Neuherberg, Germany
- German Diabetes Center (DDZ), Leibniz Center for Diabetes Research, 40225 Düsseldorf, Germany
| | - Alexander Bürkle
- Molecular Toxicology Group, Department of Biology, University of Konstanz, 78464 Konstanz, Germany
| | - Maria Moreno-Villaneuva
- Molecular Toxicology Group, Department of Biology, University of Konstanz, 78464 Konstanz, Germany
- Human Performance Research Centre, Department of Sport Science, University of Konstanz, 78464 Konstanz, Germany
| | - Claudio Franceschi
- Department of Medical and Surgical Sciences, University of Bologna, 40126 Bologna, Italy
- Laboratory of Systems Medicine of Healthy Aging, Institute of Biology and Biomedicine and Institute of Information Technology, Mathematics and Mechanics, Department of Applied Mathematics, Lobachevsky State University, 603005 Nizhny Novgorod, Russia
| | - Miriam Capri
- Department of Medical and Surgical Sciences, University of Bologna, 40126 Bologna, Italy
- Interdepartmental Center - Alma Mater Research Institute on Global Challenges and Climate Change - University of Bologna, 40126 Bologna, Italy
| | | | | | | | - Birgit Weinberger
- Institute for Biomedical Aging Research, Universität Innsbruck, 6020 Innsbruck, Austria
| | - Efstathios S. Gonos
- National Hellenic Research Foundation, Institute of Biology, Medicinal Chemistry and Biotechnology, 116 35 Athens, Greece
| | - Ewa Sikora
- Laboratory of the Molecular Bases of Ageing, Nencki Institute of Experimental Biology, Polish Academy of Sciences, 00-901 Warsaw, Poland
| | - Martijn Dollé
- Centre for Health Protection, National Institute for Public Health and the Environment, 3720BA Bilthoven, the Netherlands
| | - Eugène Jansen
- Centre for Health Protection, National Institute for Public Health and the Environment, 3720BA Bilthoven, the Netherlands
| | - P. Eline Slagboom
- Department of Molecular Epidemiology, Leiden University Medical Centre, 2333 ZC Leiden, the Netherlands
| | - Antti Hervonnen
- Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland
| | - Mikko Hurme
- Faculty of Medicine and Health Technology, Tampere University, 33100 Tampere, Finland
| | - Nicolle Breusing
- Department of Applied Nutritional Science/Dietetics, Institute of Nutritional Medicine, University of Hohenheim, 70599 Stuttgart, Germany
| | - Jan Frank
- Department of Food Biofunctionality, University of Hohenheim, 70599 Stuttgart, Germany
| | - Andrew C. Bulmer
- School of Pharmacy and Medical Sciences, Griffith University, Gold Coast Campus, Brisbane, QLD, Australia
| | - Karl-Heinz Wagner
- Department of Nutritional Sciences, University of Vienna, Vienna 1090, Austria
- Research Platform Active Ageing, University of Vienna, Vienna 1090, Austria
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Liu W, Dong P, Li C, Guo W, Zhao K, Man S, Zhang L, Wu H, Song H. Clinical implications of persistent joint pain after gout flare. REUMATOLOGIA CLINICA 2024; 20:291-296. [PMID: 38991822 DOI: 10.1016/j.reumae.2024.03.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2023] [Revised: 02/05/2024] [Accepted: 03/10/2024] [Indexed: 07/13/2024]
Abstract
OBJECTIVES A subset of gout patients developed persistent joint pain after flares. Analysis of this clinical phenomenon may shed further light on the factors related to worsening gout and even provide clues to its pathogenesis. METHODS We analyzed the clinical, laboratory, and ultrasound data of gout patients to explore the associations of these data with persistent joint pain after gout flares. RESULTS A total of 1029 gout patients were included: 182 (17.7%) patients with persistent joint pain and 847 (82.3%) patients with nonpersistent joint pain. Patients with persistent joint pain had more total involved joints, more gout flares in the past year, and more joints with simultaneous gout flares (P<0.01). Among the ultrasound-detected lesions, patients with persistent joint pain had a higher incidence of tophus (36.4% vs. 21.1%) and bone erosion (18.6% vs. 8.6%) (P<0.05). Higher UA and lower TBil were found in patients with persistent joint pain (P<0.001). Hypertension (54.9% vs. 38.7%) and metabolic syndrome (58.8% vs. 46.4%) were both more frequent in patients with persistent joint pain (P<0.05). TBil was negatively correlated with the incidence of persistent joint pain (P<0.001, r=-0.190), UA values (P<0.001, r=-0.125), and metabolic syndrome scores (P<0.001, r=-0.192). A correlation curve was fitted using LOESS (locally weighted region). CONCLUSION Persistent joint pain after gout flares is a marker of increased disease burden in gout. The significance of the level of total bilirubin for the exacerbation of gout deserves further study.
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Affiliation(s)
- Wei Liu
- Department of Rheumatology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Peng Dong
- Changzhou Xitaihu Institute for Frontier Technology of Cell Therapy, Changzhou, China
| | - Chunyan Li
- Department of Clinical Laboratory, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Wen Guo
- Department of Ultrasound, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Kaiping Zhao
- Department of Medical Record Management and Statistics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Siliang Man
- Department of Rheumatology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Liang Zhang
- Department of Orthopedics, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Husheng Wu
- Department of Rheumatology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China
| | - Hui Song
- Department of Rheumatology, Beijing Jishuitan Hospital, Capital Medical University, Beijing, China.
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Tian Y, Yang C, Liu L, Zhao X, Fan H, Xia L, Liu H. The associations of psychopathology and metabolic parameters with serum bilirubin levels in patients with acute-episode and drug-free schizophrenia: a 5-year retrospective study using an electronic medical record system. BMC Psychiatry 2024; 24:403. [PMID: 38811905 PMCID: PMC11138041 DOI: 10.1186/s12888-024-05862-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/20/2023] [Accepted: 05/23/2024] [Indexed: 05/31/2024] Open
Abstract
BACKGROUND The oxidative system plays an important role in the pathogenesis of schizophrenia. Inconsistent associations were found between hyperbilirubinemia and psychopathology as well as glycolipid metabolism in patients with schizophrenia at different episodes. This current study aimed to examine these associations in patients with acute-episode and drug-free (AEDF) schizophrenia. METHODS This is a retrospective study using 5 years of data from May 2017 to May 2022 extracted from the electronic medical record system of Chaohu Hospital of Anhui Medical University. Healthy controls (HCs) from the local medical screening center during the same period were also included. Participants' data of the bilirubin levels [total bilirubin (TB), conjugated bilirubin (CB), unconjugated bilirubin (UCB)], glycolipid metabolic parameters and the score of the Brief Psychiatric Rating Scale (BPRS) were collected. RESULTS A total of 1468 case records were identified through the initial search. After screening, 89 AEDF patients and 100 HCs were included. Compared with HCs, patients had a higher CB level, and lower levels of glycolipid metabolic parameters excluding high density lipoprotein-cholesterol (HDL-C) (all P < 0.001). Binary logistic regression analyses revealed that high bilirubin levels in the patients were independently associated with higher total and resistance subscale scores of BPRS, a higher HDL-C level, and lower total cholesterol and triglyceride levels (all P < 0.05). CONCLUSION Bilirubin levels are elevated in patients with AEDF schizophrenia. Patients with high bilirubin levels have more severe psychopathology and relatively optimized glycolipid metabolism. In clinical practice, regular monitoring of bilirubin levels in this patient population should be carried out.
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Affiliation(s)
- Yinghan Tian
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Cheng Yang
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Lewei Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Xin Zhao
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Haojie Fan
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China
| | - Lei Xia
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China.
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China.
- Department of Psychiatry, School of Mental Health and Psychological Sciences, Anhui Medical University, Hefei, Anhui Province, P. R. China.
| | - Huanzhong Liu
- Department of Psychiatry, Chaohu Hospital of Anhui Medical University, 64 Chaohu North Road, Hefei, 238000, Anhui Province, P. R. China.
- Anhui Psychiatric Center, Anhui Medical University, Hefei, Anhui Province, P. R. China.
- Anhui Provincial Key Laboratory for Brain Bank Construction and Resource Utilization, Anhui Medical University, Hefei, Anhui Province, P. R. China.
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Li Y, Liu H, Shen C, Li J, Liu F, Huang K, Gu D, Li Y, Lu X. Association of genetic variants related to combined lipid-lowering and antihypertensive therapies with risk of cardiovascular disease: 2 × 2 factorial Mendelian randomization analyses. BMC Med 2024; 22:201. [PMID: 38764043 PMCID: PMC11103938 DOI: 10.1186/s12916-024-03407-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/13/2023] [Accepted: 04/25/2024] [Indexed: 05/21/2024] Open
Abstract
BACKGROUND Lipid-lowering drugs and antihypertensive drugs are commonly combined for cardiovascular disease (CVD). However, the relationship of combined medications with CVD remains controversial. We aimed to explore the associations of genetically proxied medications of lipid-lowering and antihypertensive drugs, either alone or both, with risk of CVD, other clinical and safety outcomes. METHODS We divided 423,821 individuals in the UK Biobank into 4 groups via median genetic scores for targets of lipid-lowering drugs and antihypertensive drugs: lower low-density lipoprotein cholesterol (LDL-C) mediated by targets of statins or proprotein convertase subtilisin/kexin type 9 (PCSK9) inhibitors, lower systolic blood pressure (SBP) mediated by targets of β-blockers (BBs) or calcium channel blockers (CCBs), combined genetically lower LDL-C and SBP, and reference (genetically both higher LDL-C and SBP). Associations with risk of CVD and other clinical outcomes were explored among each group in factorial Mendelian randomization. RESULTS Independent and additive effects were observed between genetically proxied medications of lipid-lowering and antihypertensive drugs with CVD (including coronary artery disease, stroke, and peripheral artery diseases) and other clinical outcomes (ischemic stroke, hemorrhagic stroke, heart failure, diabetes mellitus, chronic kidney disease, and dementia) (P > 0.05 for interaction in all outcomes). Take the effect of PCSK9 inhibitors and BBs on CVD for instance: compared with the reference, PCSK9 group had a 4% lower risk of CVD (odds ratio [OR], 0.96; 95%CI, 0.94-0.99), and a 3% lower risk was observed in BBs group (OR, 0.97; 95%CI, 0.94-0.99), while combined both were associated with a 6% additively lower risk (OR, 0.94; 95%CI, 0.92-0.97; P = 0.87 for interaction). CONCLUSIONS Genetically proxied medications of combined lipid-lowering and antihypertensive drugs have an independent and additive effects on CVD, other clinical and safety outcomes, with implications for CVD clinical practice, subsequent trials as well as drug development of polypills.
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Affiliation(s)
- Ying Li
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Hongwei Liu
- Department of Cancer Epidemiology, The Affiliated Cancer Hospital of Zhengzhou University and Henan Cancer Hospital, Zhengzhou, 450008, China
| | - Chong Shen
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Research Units of Cohort Study On Cardiovascular Diseases and Cancers, Chinese Academy of Medical Sciences, Beijing, 100730, China
| | - Jianxin Li
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Fangchao Liu
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Keyong Huang
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
| | - Dongfeng Gu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China
- School of Public Health and Emergency Management, Southern University of Science and Technology, Shenzhen, 518055, China
- School of Medicine, Southern University of Science and Technology, Shenzhen, 518055, China
| | - Yun Li
- School of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
| | - Xiangfeng Lu
- Department of Epidemiology, Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China.
- Department of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100037, China.
- Key Laboratory of Cardiovascular Epidemiology, Chinese Academy of Medical Sciences, Beijing, 100037, China.
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Peruchet-Noray L, Sedlmeier AM, Dimou N, Baurecht H, Fervers B, Fontvieille E, Konzok J, Tsilidis KK, Christakoudi S, Jansana A, Cordova R, Bohmann P, Stein MJ, Weber A, Bézieau S, Brenner H, Chan AT, Cheng I, Figueiredo JC, Garcia-Etxebarria K, Moreno V, Newton CC, Schmit SL, Song M, Ulrich CM, Ferrari P, Viallon V, Carreras-Torres R, Gunter MJ, Freisling H. Tissue-specific genetic variation suggests distinct molecular pathways between body shape phenotypes and colorectal cancer. SCIENCE ADVANCES 2024; 10:eadj1987. [PMID: 38640244 PMCID: PMC11029802 DOI: 10.1126/sciadv.adj1987] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/13/2023] [Accepted: 03/12/2024] [Indexed: 04/21/2024]
Abstract
It remains unknown whether adiposity subtypes are differentially associated with colorectal cancer (CRC). To move beyond single-trait anthropometric indicators, we derived four multi-trait body shape phenotypes reflecting adiposity subtypes from principal components analysis on body mass index, height, weight, waist-to-hip ratio, and waist and hip circumference. A generally obese (PC1) and a tall, centrally obese (PC3) body shape were both positively associated with CRC risk in observational analyses in 329,828 UK Biobank participants (3728 cases). In genome-wide association studies in 460,198 UK Biobank participants, we identified 3414 genetic variants across four body shapes and Mendelian randomization analyses confirmed positive associations of PC1 and PC3 with CRC risk (52,775 cases/45,940 controls from GECCO/CORECT/CCFR). Brain tissue-specific genetic instruments, mapped to PC1 through enrichment analysis, were responsible for the relationship between PC1 and CRC, while the relationship between PC3 and CRC was predominantly driven by adipose tissue-specific genetic instruments. This study suggests distinct putative causal pathways between adiposity subtypes and CRC.
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Affiliation(s)
- Laia Peruchet-Noray
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
| | - Anja M. Sedlmeier
- Center for Translational Oncology, University Hospital Regensburg, Regensburg, Germany
- Bavarian Cancer Research Center (BZKF), Regensburg, Germany
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Niki Dimou
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Hansjörg Baurecht
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Béatrice Fervers
- Département Prévention Cancer Environnement, Centre Léon Bérard, Lyon, France
| | - Emma Fontvieille
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Julian Konzok
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Kostas K. Tsilidis
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK
- Department of Hygiene and Epidemiology, University of Ioannina School of Medicine, Ioannina, Greece
| | - Sofia Christakoudi
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK
- Department of Inflammation Biology, School of Immunology & Microbial Sciences, King’s College London, London, UK
| | - Anna Jansana
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Reynalda Cordova
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
- Department of Nutritional Sciences, University of Vienna, Vienna, Austria
| | - Patricia Bohmann
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Michael J. Stein
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Andrea Weber
- Department of Epidemiology and Preventive Medicine, University of Regensburg, Regensburg, Germany
| | - Stéphane Bézieau
- Service de Génétique Médicale, Centre Hospitalier Universitaire (CHU) Nantes, Nantes, France
| | - Hermann Brenner
- Division of Clinical Epidemiology and Aging Research, German Cancer Research Center (DKFZ), Heidelberg, Germany
- Division of Preventive Oncology, German Cancer Research Center (DKFZ) and National Center for Tumor Diseases (NCT), Heidelberg, Germany
- German Cancer Consortium (DKTK), German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Andrew T. Chan
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
| | - Iona Cheng
- Department of Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, CA, USA
| | - Jane C. Figueiredo
- Department of Medicine, Samuel Oschin Comprehensive Cancer Institute, Cedars-Sinai Medical Center, Los Angeles, CA, USA
| | - Koldo Garcia-Etxebarria
- Biodonostia, Gastrointestinal Genetics Group, San Sebastián, Spain
- Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBERehd), Barcelona, Spain
| | - Victor Moreno
- Department of Clinical Sciences, Faculty of Medicine, University of Barcelona, Barcelona, Spain
- Unit of Biomarkers and Susceptibility (UBS), Oncology Data Analytics Program (ODAP), Catalan Institute of Oncology (ICO), L’Hospitalet del Llobregat, 08908 Barcelona, Spain
- ONCOBELL Program, Bellvitge Biomedical Research Institute (IDIBELL), L’Hospitalet de Llobregat, 08908 Barcelona, Spain
- Consortium for Biomedical Research in Epidemiology and Public Health (CIBERESP), 28029 Madrid, Spain
| | | | - Stephanie L. Schmit
- Genomic Medicine Institute, Cleveland Clinic, Cleveland, OH, USA
- Population and Cancer Prevention Program, Case Comprehensive Cancer Center, Cleveland, OH, USA
| | - Mingyang Song
- Clinical and Translational Epidemiology Unit, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA
- Departments of Epidemiology and Nutrition, Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Cornelia M. Ulrich
- Huntsman Cancer Institute and Department of Population Health Sciences, University of Utah, Salt Lake City, UT, USA
| | - Pietro Ferrari
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Vivian Viallon
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
| | - Robert Carreras-Torres
- Digestive Diseases and Microbiota Group, Girona Biomedical Research Institute (IDIBGI), Salt, Girona, Spain
| | - Marc J. Gunter
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
- Department of Epidemiology and Biostatistics, School of Public Health, Imperial College London, St Mary’s Campus, Norfolk Place, London W2 1PG, UK
| | - Heinz Freisling
- International Agency for Research on Cancer (IARC/WHO), Nutrition and Metabolism Branch, 69366 Lyon CEDEX 07, France
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Nikouei M, Cheraghi M, Ghaempanah F, Kohneposhi P, Saniee N, Hemmatpour S, Moradi Y. The association between bilirubin levels, and the incidence of metabolic syndrome and diabetes mellitus: a systematic review and meta-analysis of cohort studies. Clin Diabetes Endocrinol 2024; 10:1. [PMID: 38195551 PMCID: PMC10777508 DOI: 10.1186/s40842-023-00159-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/21/2023] [Accepted: 11/29/2023] [Indexed: 01/11/2024] Open
Abstract
OBJECTIVES The objective of this meta-analysis was to investigate the association between plasma bilirubin levels and the incidence of metabolic syndrome and diabetes mellitus across all populations. METHODS Several databases were searched, including PubMed (Medline), Scopus, Web of Science, and Embase (Elsevier), to identify relevant cohort studies. All cohort studies that reported the risk ratio along with a 95% confidence interval were included. The association between bilirubin levels and metabolic syndrome or diabetes was reported as a pooled RR with a 95% CI in the forest plot. All analyses were conducted using STATA version 17, with a significance level of 0.05. RESULTS Out of the 10 studies included in the analysis, four investigated the effect of hyperbilirubinemia on the incidence of type 2 diabetes. When these four studies were combined, the pooled RR was 0.78 (95% CI: 0.73, 0.83; I2: 88.61%; P heterogeneity < 0.001), indicating a significant association between hyperbilirubinemia and decreased risk of type 2 diabetes. Five of the 10 studies evaluated the effect of hyperbilirubinemia on the incidence of metabolic syndrome, and the pooled RR was 0.70 (95% CI: 0.67, 0.73; I2: 78.13%; P heterogeneity < 0.001), indicating a significant association between hyperbilirubinemia and decreased risk of metabolic syndrome. CONCLUSION The findings suggest that elevated levels of bilirubin may have a significant protective effect against the development of diabetes mellitus and metabolic syndrome.
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Affiliation(s)
- Maziar Nikouei
- Kurdistan University of Medical Sciences, Sanandaj, Iran
| | | | | | | | - Nadia Saniee
- Department of Public Health, Asadabad School of Medical Sciences, Asadabad, Iran
| | - Sirous Hemmatpour
- Department of Pediatrics, School of Medicine, Besat Hospital, Kurdistan University of Medical Sciences, Sanandaj, Iran.
| | - Yousef Moradi
- Social Determinants of Health Research Center, Research Institute for Health Development, Kurdistan University of Medical Sciences, Sanandaj, Iran.
- Department of Epidemiology and Biostatistics, Faculty of Medicine, Kurdistan University of Medical Sciences, Sanandaj, Iran.
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9
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Bai X, Qiao J, Zhang H. Mildly elevated serum bilirubin and its correlations with lipid levels among male patients undergoing health checkups. Lipids Health Dis 2023; 22:213. [PMID: 38049818 PMCID: PMC10694953 DOI: 10.1186/s12944-023-01979-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Accepted: 11/23/2023] [Indexed: 12/06/2023] Open
Abstract
BACKGROUND Bilirubin's ability to lower lipid levels was confirmed by several studies, but those studies mainly focused on total bilirubin (TBil). The present study aimed to elucidate the correlations of the two subtypes of bilirubin with lipid levels. METHODS A total of 1732 male patients undergoing health checkups were categorized into three groups according to the levels of direct bilirubin (DBil) and indirect bilirubin (IBil). The differences in medical characteristics among the three groups were analysed. RESULTS Subjects in the elevated DBil group had the lowest serum alanine aminotransferase (ALT), total cholesterol (TC), blood urea nitrogen (BUN), γ-glutamyl transpeptidase (γ-GT), fasting blood glucose (FBG), haemoglobin (HGB), and triglyceride (TG) levels in contrast to the other groups (P < 0.01), while subjects in the elevated IBil group had the highest ALT, γ-GT, BUN, serum creatinine (SCR), HGB, TC, and TG levels among the three groups (P < 0.01). DBil levels exhibited a significant negative correlation with TC (r = -0.777, P < 0.01) and TG (r = -0.397, P < 0.01) levels, while IBil levels exhibited a significant positive correlation with TC (r = 0.790, P < 0.01) and TG (r = 0.302, P < 0.01) levels. The frequencies of abnormal TC, TG, HGB and BUN levels were the lowest in the elevated DBil group, while the levels of these four variables were the highest in the elevated IBil group. Mildly elevated DBil levels were related to lower TG (OR = 0.112, 95% CI = 0.027-0.458) and TC (OR = 0.097, 95% CI = 0.013-0.700), and mildly elevated IBil levels were connected with increased TC (OR = 3.436, 95% CI = 2.398-4.924) and TG (OR = 1.636, 95% CI = 1.163-2.303). DBil was an independent protective factor against increased TC (OR = 0.702, 95% CI = 0.602-0.817, P < 0.01) and TG (OR = 0.632, 95% CI = 0.541-0.739, P < 0.01) levels, and IBil was an independent risk factors for increased TC (OR = 1.251, 95% CI = 1.176-1.331, P < 0.01). CONCLUSIONS DBil was an independent protective factor against high TC and TG levels. IBil was an independent risk factors for elevated TC levels. The prognostic value of IBil levels warrants further attention.
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Affiliation(s)
- Xin Bai
- Department of Internal Medicine, Ningxia People's Armed Police Corps Hospital, 895 Qinghe South Street, Yinchuan, 750001, Ningxia Hui Autonomous Region, China.
| | - Jing Qiao
- Department of Outpatient, Ningxia People's Armed Police Corps Hospital, 895 Qinghe South Street, Yinchuan, 750001, Ningxia Hui Autonomous Region, China
| | - Hong Zhang
- Department of Outpatient, Ningxia People's Armed Police Corps Hospital, 895 Qinghe South Street, Yinchuan, 750001, Ningxia Hui Autonomous Region, China
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10
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Zhou R, Zhang L, Sun Y, Yan J, Jiang H. Association of urinary bisphenols with oxidative stress and inflammatory markers and their role in obesity. ECOTOXICOLOGY AND ENVIRONMENTAL SAFETY 2023; 266:115546. [PMID: 37827096 DOI: 10.1016/j.ecoenv.2023.115546] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Revised: 09/30/2023] [Accepted: 10/03/2023] [Indexed: 10/14/2023]
Abstract
Bisphenol A (BPA) and its substitutes are widely used in daily life. Animal and cell line experiments have confirmed the effects of bisphenols on oxidative stress and inflammation. However, current population evidence for the effects of BPA alternatives, such as bisphenol F (BPF) and bisphenol S (BPS), on oxidative stress and inflammation is still sparse. Based on the National Health and Nutrition Examination Survey 2013-2016 data, our study used linear regression, weighted quantile sum model, and Bayesian kernel machine regression model to evaluate the effects of BPA, BPS, and BPF alone and in combination on oxidative stress (serum total bilirubin, and iron) and inflammation (alkaline phosphatase, C-reactive protein, γ-glutamyl transferase ferritin, neutrophil count, lymphocyte count, and neutrophil-to-lymphocyte ratio) markers. On this basis, the possible roles of oxidative stress and inflammation in obesity, which is associated with exposure to bisphenols (BPs), were initially explored. Based on the different covariates selected, a total of 3039 and 2258 participants were included in our study for models 1 and 2, respectively; the median age of participants was 48 years, and 48.7 % were male. Based on all models, our results showed that exposure to BPs alone or in combination was associated with downregulation of serum total bilirubin. Urinary BPF concentration was specifically associated with the neutrophil-to-lymphocyte ratio. Serum total bilirubin may play a role in the association between obesity and BP mixture exposure. Upregulation of the neutrophil-to-lymphocyte ratio was not associated with obesity. In conclusion, our study found that single or combined exposure to BPs, as measured in urine, may be associated with changes in oxidative stress and inflammatory markers, and a decrease in serum total bilirubin may play a mediating role in BP-induced obesity.
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Affiliation(s)
- Ren Zhou
- Department of Anesthesiology, The Ninth People's Hospital of Shanghai, Jiao Tong University School of Medicine, Shanghai 200011, People's Republic of China
| | - Lei Zhang
- Department of Anesthesiology, The Ninth People's Hospital of Shanghai, Jiao Tong University School of Medicine, Shanghai 200011, People's Republic of China
| | - Yu Sun
- Department of Anesthesiology, The Ninth People's Hospital of Shanghai, Jiao Tong University School of Medicine, Shanghai 200011, People's Republic of China
| | - Jia Yan
- Department of Anesthesiology, The Ninth People's Hospital of Shanghai, Jiao Tong University School of Medicine, Shanghai 200011, People's Republic of China.
| | - Hong Jiang
- Department of Anesthesiology, The Ninth People's Hospital of Shanghai, Jiao Tong University School of Medicine, Shanghai 200011, People's Republic of China.
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11
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Poynard T, Deckmyn O, Peta V, Sakka M, Lebray P, Moussalli J, Pais R, Housset C, Ratziu V, Pasmant E, Thabut D. Clinical and genetic definition of serum bilirubin levels for the diagnosis of Gilbert syndrome and hypobilirubinemia. Hepatol Commun 2023; 7:e0245. [PMID: 37738404 PMCID: PMC10519483 DOI: 10.1097/hc9.0000000000000245] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 06/23/2023] [Indexed: 09/24/2023] Open
Abstract
BACKGROUND AND AIMS Gilbert syndrome (GS) is genotypically predetermined by UGT1A1*28 homozygosity in Europeans and is phenotypically defined by hyperbilirubinemia using total bilirubin (TB) cutoff ≥1mg/dL (17 μmol/L). The prevalence of illnesses associated with GS and hypobilirubinemia has never been studied prospectively. As TB varies with UGT1A1*28 genotyping, sex, and age, we propose stratified definitions of TB reference intervals and report the prevalence of illnesses and adjusted 15 years survival. METHODS UK Biobank with apparently healthy liver participants (middle-aged, n=138,125) were analyzed after the exclusion of of nonhealthy individuals. The stratified TB was classified as GS when TB >90th centile; <10th centile indicated hypobilirubinemia, and between the 10th and 90th centile was normobilirubinemia. We compared the prevalence and survival rates of 54 illnesses using odds ratio (OR), logistic regression, and Cox models adjusted for confounders, and causality by Mendelian randomizations. RESULTS In women, we identified 10% (7,741/76,809) of GS versus 3.7% (2,819/76,809) using the historical cutoff of ≥1 mg/dL (P<0.0001). When GS and hypobilirubinemia participants were compared with normobilirubinemia, after adjustment and Mendelian randomizations, only cholelithiasis prevalence was significantly higher (OR=1.50; 95% CI [1.3-1.7], P=0.001) in men with GS compared with normobilirubinemia and in causal association with bilirubin (P=0.04). No adjusted survival was significantly associated with GS or hypobilirubinemia. CONCLUSIONS In middle-aged Europeans, the stratified TB demonstrates a careless GS underestimation in women when using the standard unisex 1 mg/dL cutoff. The prevalence of illnesses is different in GS and hypobilirubinemia as well as survivals before adjusting for confounding factors. With the exception of cholelithiasis in men, these differences were no more significant after adjustment and Mendelian randomization.
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Affiliation(s)
- Thierry Poynard
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
- BioPredictive, Paris, France
| | | | | | - Mehdi Sakka
- Department of Biochemistry, Assistance Publique-Hôpitaux de Paris (AP-HP), Pitié-Salpêtrière Hospital, Paris, France
| | - Pascal Lebray
- Department of Hepato-Gastroenterology, Assistance Publique-Hôpitaux de Paris (AP-HP), Pitié-Salpêtrière Hospital, Paris, France
| | - Joseph Moussalli
- Department of Hepato-Gastroenterology, Assistance Publique-Hôpitaux de Paris (AP-HP), Pitié-Salpêtrière Hospital, Paris, France
| | - Raluca Pais
- Department of Hepato-Gastroenterology, Assistance Publique-Hôpitaux de Paris (AP-HP), Pitié-Salpêtrière Hospital, Paris, France
| | - Chantal Housset
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
| | - Vlad Ratziu
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
- Department of Hepato-Gastroenterology, Assistance Publique-Hôpitaux de Paris (AP-HP), Pitié-Salpêtrière Hospital, Paris, France
| | - Eric Pasmant
- Department of Genetic, Assistance Publique-Hôpitaux de Paris (AP-HP), Cochin Hospital, Paris, France
| | - Dominique Thabut
- Sorbonne Université, INSERM, Centre de Recherche Saint-Antoine (CRSA), Institute of Cardiometabolism and Nutrition (ICAN), Paris, France
- Department of Hepato-Gastroenterology, Assistance Publique-Hôpitaux de Paris (AP-HP), Pitié-Salpêtrière Hospital, Paris, France
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12
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Ullah A, Stankevic E, Holm LA, Stinson SE, Juel HB, Fonvig CE, Lund MAV, Trier C, Engelbrechtsen L, Ängquist L, Jonsson AE, Pedersen O, Grarup N, Holm JC, Hansen T. Genetics of Plasma Bilirubin and Associations between Bilirubin and Cardiometabolic Risk Profiles in Danish Children and Adolescents. Antioxidants (Basel) 2023; 12:1613. [PMID: 37627608 PMCID: PMC10451688 DOI: 10.3390/antiox12081613] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2023] [Revised: 07/19/2023] [Accepted: 07/20/2023] [Indexed: 08/27/2023] Open
Abstract
Bilirubin is the end product of heme catabolism, mainly produced by the breakdown of mature red blood cells. Due to its anti-inflammatory, antioxidant, antidiabetic, and antilipemic properties, circulating bilirubin concentrations are inversely associated with the risk of cardiovascular disease, type 2 diabetes, and all-cause mortality in adults. Some genetic loci associated with circulating bilirubin concentrations have been identified by genome-wide association studies in adults. We aimed to examine the relationship between circulating bilirubin, cardiometabolic risk factors, and inflammation in children and adolescents and the genetic architecture of plasma bilirubin concentrations. We measured fasting plasma bilirubin, cardiometabolic risk factors, and inflammatory markers in a sample of Danish children and adolescents with overweight or obesity (n = 1530) and in a population-based sample (n = 1820) of Danish children and adolescents. Linear and logistic regression analyses were performed to analyze the associations between bilirubin, cardiometabolic risk factors, and inflammatory markers. A genome-wide association study (GWAS) of fasting plasma concentrations of bilirubin was performed in children and adolescents with overweight or obesity and in a population-based sample. Bilirubin is associated inversely and significantly with a number of cardiometabolic risk factors, including body mass index (BMI) standard deviation scores (SDS), waist circumference, high-sensitivity C-reactive protein (hs-CRP), homeostatic model assessment for insulin resistance (HOMA-IR), hemoglobin A1c (HbA1c), low-density lipoprotein cholesterol (LDL-C), triglycerides, and the majority of measured inflammatory markers. In contrast, bilirubin was positively associated with fasting plasma concentrations of alanine transaminase (ALT), high-density lipoprotein cholesterol (HDL-C), systolic blood pressure (SDS), and the inflammatory markers GH, PTX3, THBS2, TNFRSF9, PGF, PAPPA, GT, CCL23, CX3CL1, SCF, and TRANCE. The GWAS showed that two loci were positively associated with plasma bilirubin concentrations at a p-value threshold of <5 × 10-8 (rs76999922: β = -0.65 SD; p = 4.3 × 10-8, and rs887829: β = 0.78 SD; p = 2.9 × 10-247). Approximately 25% of the variance in plasma bilirubin concentration was explained by rs887829. The rs887829 was not significantly associated with any of the mentioned cardiometabolic risk factors except for hs-CRP. Our findings suggest that plasma concentrations of bilirubin non-causally associates with cardiometabolic risk factors in children and adolescents.
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Affiliation(s)
- Asmat Ullah
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
| | - Evelina Stankevic
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
| | - Louise Aas Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
- The Children’s Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Holbæk Hospital, 4300 Holbæk, Denmark; (M.A.V.L.); (C.T.)
| | - Sara E. Stinson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
| | - Helene Bæk Juel
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
| | - Cilius E. Fonvig
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
- The Children’s Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Holbæk Hospital, 4300 Holbæk, Denmark; (M.A.V.L.); (C.T.)
- The Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Morten A. V. Lund
- The Children’s Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Holbæk Hospital, 4300 Holbæk, Denmark; (M.A.V.L.); (C.T.)
| | - Cæcilie Trier
- The Children’s Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Holbæk Hospital, 4300 Holbæk, Denmark; (M.A.V.L.); (C.T.)
| | - Line Engelbrechtsen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
| | - Lars Ängquist
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
| | - Anna E. Jonsson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
- Clinical Center for Metabolic Research, Herlev-Gentofte University Hospital, 2900 Copenhagen, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
| | - Jens-Christian Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
- The Children’s Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Holbæk Hospital, 4300 Holbæk, Denmark; (M.A.V.L.); (C.T.)
- The Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, 2200 Copenhagen, Denmark or (A.U.); (E.S.); (L.A.H.); (S.E.S.); (H.B.J.); (C.E.F.); (L.E.); (L.Ä.); (A.E.J.); (O.P.); (N.G.)
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13
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Vitek L, Hinds TD, Stec DE, Tiribelli C. The physiology of bilirubin: health and disease equilibrium. Trends Mol Med 2023; 29:315-328. [PMID: 36828710 PMCID: PMC10023336 DOI: 10.1016/j.molmed.2023.01.007] [Citation(s) in RCA: 18] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/11/2022] [Revised: 01/25/2023] [Accepted: 01/27/2023] [Indexed: 02/24/2023]
Abstract
Bilirubin has several physiological functions, both beneficial and harmful. In addition to reactive oxygen species-scavenging activities, bilirubin has potent immunosuppressive effects associated with long-term pathophysiological sequelae. It has been recently recognized as a hormone with endocrine actions and interconnected effects on various cellular signaling pathways. Current studies show that bilirubin also decreases adiposity and prevents metabolic and cardiovascular diseases. All in all, the physiological importance of bilirubin is only now coming to light, and strategies for increasing plasma bilirubin levels to combat chronic diseases are starting to be considered. This review discusses the beneficial effects of increasing plasma bilirubin, incorporates emerging areas of bilirubin biology, and provides key concepts to advance the field.
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Affiliation(s)
- Libor Vitek
- Fourth Department of Internal Medicine and Institute of Medical Biochemistry and Laboratory Diagnostics, First Faculty of Medicine, Charles University and General University Hospital in Prague, 120 00 Prague, Czech Republic
| | - Terry D Hinds
- Department of Pharmacology and Nutritional Sciences, Barnstable Brown Diabetes Center, Markey Cancer Center, University of Kentucky, Lexington, KY 40508, USA
| | - David E Stec
- Department of Physiology and Biophysics, Cardiorenal, and Metabolic Diseases Research Center, University of Mississippi Medical Center, Jackson, MS 39216, USA
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14
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Yuan X, Ma C, Li J, Li J, Yu R, Cai F, Qu G, Yu B, Liu L, Zeng D, Jiao Q, Liao Q, Lv X. Indirect bilirubin impairs invasion of osteosarcoma cells via inhibiting the PI3K/AKT/MMP-2 signaling pathway by suppressing intracellular ROS. J Bone Oncol 2023; 39:100472. [PMID: 36876225 PMCID: PMC9982672 DOI: 10.1016/j.jbo.2023.100472] [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: 12/01/2022] [Revised: 02/20/2023] [Accepted: 02/20/2023] [Indexed: 02/25/2023] Open
Abstract
Background Osteosarcoma is most prevalently found primary malignant bone tumors, with primary metastatic patients accounting for approximately 25% of all osteosarcoma patients, yet their 5-year OS remains below 30%. Bilirubin plays a key role in oxidative stress-associated events, including malignancies, making the regulation of its serum levels a potential anti-tumor strategy. Herein, we investigated the association of osteosarcoma prognosis with serum levels of TBIL, IBIL and DBIL, and further explored the mechanisms by which bilirubin affects tumor invasion and migration. Methods ROC curve was plotted to assess survival conditions based on the determined optimal cut-off values and the AUC. Then, Kaplan-Meier curves, along with Cox proportional hazards model, was applied for survival analysis. Inhibitory function of IBIL on the malignant properties of osteosarcoma cells was examined using the qRT-PCR, transwell assays, western blotting, and flow cytometry. Results We found that, versus osteosarcoma patients with pre-operative higher IBIL (>8.9 μmol/L), those with low IBIL (≤8.9 μmol/L) had shorter OS and PFS. As indicated by the Cox proportional hazards model, pre-operative IBIL functioned as an independent prognostic factor for OS and PFS in total and gender-stratified osteosarcoma patients (P < 0.05 for all). In vitro experiments further confirmed that IBIL inhibits PI3K/AKT phosphorylation and downregulates MMP-2 expression via reducing intracellular ROS, thereby decreasing the invasion of osteosarcoma cells. Conclusions IBIL may serve as an independent prognostic predictor for osteosarcoma patients. IBIL impairs invasion of osteosarcoma cells through repressing the PI3K/AKT/MMP-2 pathway by suppressing intracellular ROS, thus inhibiting its metastatic potential.
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Key Words
- AUC, area under curve
- BRNP, PEGylated bilirubin nanoparticles
- CCK-8, cell counting kit-8
- CI, confidence interval
- DBIL, direct bilirubin
- DMSO, dimethyl sulfoxide
- ECM, extracellular matrix
- H2O2, hydrogen peroxide
- HIF-1α, hypoxia inducible factor-1α
- HR, hazard ratio
- IBIL
- IBIL, indirect bilirubin
- Invasion
- MDA, malondialdehyde
- MMP, matrix metalloproteinase
- OS, overall survival
- Osteosarcoma
- PFS, progression-free survival
- PI3K/AKT/MMP-2
- PVDF, polyvinylidene fluoride
- Prognosis
- ROC, receiver operative characteristic
- ROS, reactive oxygen species
- SD, standard deviation
- SOD, superoxide dismutase
- TBIL, total bilirubin
- TIMP, tissue inhibitor of matrix metalloproteinase
- VEGF, vascular endothelial growth factor
- qRT-PCR, real-time quantitative PCR
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Affiliation(s)
- Xuhui Yuan
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China
| | - Cong Ma
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Jiayu Li
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China
| | - Junhong Li
- Department of Orthopedics, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Ronghui Yu
- Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - Feng Cai
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - Gaoyang Qu
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - Bo Yu
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - Lang Liu
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - Duo Zeng
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - QuanHui Jiao
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330006, China
| | - Qi Liao
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China.,Department of Orthopedics, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China
| | - Xiaobin Lv
- Jiangxi Key Laboratory of Cancer Metastasis and Precision Treatment, Central Laboratory, The First Hospital of Nanchang, The Third Affiliated Hospital of Nanchang University, Nanchang, Jiangxi 330008, China
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15
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Alouffi S. Serum bilirubin levels are negatively associated with atherogenic lipids in Saudi subjects with type 2 diabetes: A pilot study. ELECTRONIC JOURNAL OF GENERAL MEDICINE 2023. [DOI: 10.29333/ejgm/12777] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/02/2023]
Abstract
<b>Background: </b>Recent research has demonstrated the possible relevance of bilirubin in metabolic and cardiovascular disorders. Lipid abnormalities are a major problem that is related with an increased risk of cardiovascular disease in diabetics. This study examined the relationship between serum bilirubin and direct bilirubin concentrations and atherogenic lipids in patients with type 2 diabetes (T2DM).<br />
<b>Methods</b>: This cross-sectional included 67 patients with type 2 diabetes and 39 matched healthy control. The lipid profile, including total cholesterol, HDL-C, and TG levels, fasting blood glucose, total bilirubin, direct bilirubin, ALT, AST, and ALP were measured using a dimension EXL clinical chemistry analyzer (Siemens Healthcare Diagnostics). Cholesterol in VLDL, LDL, and sdLDL were calculated from standard lipid assay results by the equations of Sampson et al.<br />
<b>Results</b>: Serum bilirubin was lower in non T2DM subjects nearly significant (p=0.0.51) whereas direct bilirubin concentrations were lower in T2DM (p=0.008). ALT, AST, and ALP levels were higher in T2DM groups. The mean values of LDL-C, sdLDL-C, non HDL-C and VLDL-C were significantly increased in T2DM group and lower HDL-C. An inverse relationship could be observed with increase in serum total bilirubin and serum levels of LDL-C (r<sup>2</sup>=0.139, p<0.005), sdLDL-C (r<sup>2</sup>=0.137, p<0.005), VLDL-C (r<sup>2</sup>=0.074, p<0.044), and non HDL-C (r<sup>2</sup>=0.166, p<0.002) in T2DM group. The same inverse relationship was observed with serum direct bilirubin and serum levels of LDL-C (r<sup>2</sup>=0.133, p<0.006), sdLDL-C (r<sup>2</sup>=0.172, p<0.001), VLDL-C (r<sup>2</sup>=0.118, p<0.01), and non HDL-C (r<sup>2</sup>=0.182, p<0.001) in T2DM group.<br />
<b>Conclusions</b>: A significant negative association was found between serum bilirubin levels and direct serum bilirubin with atherogenic lipids, suggesting that serum bilirubin may protect T2DM patients from development of cardiovascular disease. These findings indicate the need for additional research in a large cohort.
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Affiliation(s)
- Sultan Alouffi
- Department of Medical Laboratory Sciences, College of Applied Medical Sciences, University of Hail, Hail, SAUDI ARABIA
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16
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AlMuraikhy S, Anwardeen N, Naeem A, Sellami M, Domling A, Agouni A, Elrayess MA. Comparing the Metabolic Profiles Associated with Fitness Status between Insulin-Sensitive and Insulin-Resistant Non-Obese Individuals. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph191912169. [PMID: 36231474 PMCID: PMC9564877 DOI: 10.3390/ijerph191912169] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/08/2022] [Revised: 09/17/2022] [Accepted: 09/19/2022] [Indexed: 05/27/2023]
Abstract
(1) Background: Young non-obese insulin-resistant (IR) individuals could be at risk of developing metabolic diseases including type 2 diabetes mellitus. The protective effect of physical activity in this apparently healthy group is expected but not well characterized. In this study, clinically relevant metabolic profiles were determined and compared among active and sedentary insulin-sensitive (IS) and IR young non-obese individuals. (2) Methods: Data obtained from Qatar Biobank for 2110 young (20-30 years old) non-obese (BMI ≤ 30) healthy participants were divided into four groups, insulin-sensitive active (ISA, 30.7%), insulin-sensitive sedentary (ISS, 21.4%), insulin-resistant active (IRA, 20%), and insulin-resistant sedentary (IRS, 23.3%), using the homeostatic model assessment of insulin resistance (HOMA-IR) and physical activity questionnaires. The effect of physical activity on 66 clinically relevant biochemical tests was compared among the four groups using linear models. (3) Results: Overall, non-obese IR participants had significantly (p ≤ 0.001) worse vital signs, blood sugar profiles, inflammatory markers, liver function, lipid profiles, and vitamin D levels than their IS counterparts. Physical activity was positively associated with left handgrip (p ≤ 0.01) and levels of creatine kinase (p ≤ 0.001) and creatine kinase-2 (p ≤ 0.001) in both IS and IR subjects. Furthermore, physical activity was positively associated with levels of creatinine (p ≤ 0.01) and total vitamin D (p = 0.006) in the IR group and AST (p = 0.001), folate (p = 0.001), and hematocrit (p = 0.007) in the IS group. Conversely, physical inactivity was negatively associated with the white blood cell count (p = 0.001) and an absolute number of lymphocytes (p = 0.003) in the IR subjects and with triglycerides (p = 0.005) and GGT-2 (p ≤ 0.001) in the IS counterparts. (4) Conclusions: An independent effect of moderate physical activity was observed in non-obese apparently healthy individuals a with different HOMA-IR index. The effect was marked by an improved health profile including higher vitamin D and lower inflammatory markers in IRA compared to IRS, and a higher oxygen carrying capacity and lipid profile in ISA compared to the ISS counterparts.
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Affiliation(s)
- Shamma AlMuraikhy
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
- Groningen Research Institute of Pharmacy, Drug Design, Groningen University, 9712 CP Groningen, The Netherlands
| | - Najeha Anwardeen
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
| | - Aisha Naeem
- Ministry of Public Health, Doha P.O. Box 42, Qatar
- Department of Oncology and Pathology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, 3800 Reservoir Rd., NW, Washington, DC 20007, USA
| | - Maha Sellami
- Physical Education Department (PE), College of Education, Qatar University, Doha P.O. Box 2713, Qatar
| | - Alexander Domling
- Groningen Research Institute of Pharmacy, Drug Design, Groningen University, 9712 CP Groningen, The Netherlands
| | - Abdelali Agouni
- College of Pharmacy, QU Health, Qatar University, Doha P.O. Box 2713, Qatar
| | - Mohamed A. Elrayess
- Biomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar
- College of Pharmacy, QU Health, Qatar University, Doha P.O. Box 2713, Qatar
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