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Pitti E, Vanni D, Viceconte N, Lembo A, Tanzilli G, Raparelli V, Petrella G, Cicero DO. Metabolic Crosstalk in Multimorbidity: Identifying Compensatory Effects Among Diabetes, Hypertension, and Dyslipidemia. J Endocr Soc 2024; 8:bvae152. [PMID: 39262573 PMCID: PMC11388003 DOI: 10.1210/jendso/bvae152] [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: 05/11/2024] [Indexed: 09/13/2024] Open
Abstract
Context Metabolomics is becoming increasingly popular for detecting markers that indicate the presence of a specific disease. However, it is usually applied to studying individual ailments, yielding results that may not be directly relevant to people with multiple health conditions. Objective Our study proposes a different approach to explore metabolic crosstalk between various disease states. Design Setting and Patients We conducted a study on subjects at medium to high risk of developing coronary artery disease. We measured the plasma levels of 83 metabolites using nuclear magnetic resonance and analyzed the connections between these metabolites and various risk factors such as diabetes, hypertension, and dyslipidemia. Linear regression and multivariate analysis were combined for this purpose. Results Inspection of the metabolic maps created by our analysis helped us efficiently compare profiles. In this way, it was possible to discover opposing metabolic features among single conditions and their combination. Furthermore, we found compensating metabolic effects between diabetes, hypertension, and dyslipidemia involving mainly ketone body metabolism and fatty acid β-oxidation. Conclusion Our study introduces a novel approach to investigating how metabolism reacts to the simultaneous presence of multiple health conditions. This has allowed the detection of potential compensatory effects between diabetes, hypertension, and dyslipidemia, highlighting the complexity of metabolic crosstalk in patients with comorbidities. A better understanding of metabolic crosstalk like this could aid in developing focused treatments, resulting in improved therapeutic results.
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Affiliation(s)
- Erica Pitti
- Department of Chemical Science and Technology, University of Rome "Tor Vergata," 00133 Rome, Italy
| | - Domitilla Vanni
- Department of Chemical Science and Technology, University of Rome "Tor Vergata," 00133 Rome, Italy
| | - Nicola Viceconte
- Department of Cardiovascular, Respiratory, Nephrological, Anesthesiologic and Geriatric Sciences, Sapienza University of Rome, Policlinic Umberto I, 00161 Rome, Italy
| | - Angelo Lembo
- Department of Chemical Science and Technology, University of Rome "Tor Vergata," 00133 Rome, Italy
| | - Gaetano Tanzilli
- Department of Cardiovascular, Respiratory, Nephrological, Anesthesiologic and Geriatric Sciences, Sapienza University of Rome, Policlinic Umberto I, 00161 Rome, Italy
| | - Valeria Raparelli
- Department of Translational and Precision Medicine, Sapienza University of Rome, 00185 Rome, Italy
| | - Greta Petrella
- Department of Chemical Science and Technology, University of Rome "Tor Vergata," 00133 Rome, Italy
| | - Daniel O Cicero
- Department of Chemical Science and Technology, University of Rome "Tor Vergata," 00133 Rome, Italy
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Fu T, Yang YQ, Tang CH, He P, Lei SF. Genetic effects and causal association analyses of 14 common conditions/diseases in multimorbidity patterns. PLoS One 2024; 19:e0300740. [PMID: 38753827 PMCID: PMC11098521 DOI: 10.1371/journal.pone.0300740] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 03/04/2024] [Indexed: 05/18/2024] Open
Abstract
BACKGROUND Multimorbidity has become an important health challenge in the aging population. Accumulated evidence has shown that multimorbidity has complex association patterns, but the further mechanisms underlying the association patterns are largely unknown. METHODS Summary statistics of 14 conditions/diseases were available from the genome-wide association study (GWAS). Linkage disequilibrium score regression analysis (LDSC) was applied to estimate the genetic correlations. Pleiotropic SNPs between two genetically correlated traits were detected using pleiotropic analysis under the composite null hypothesis (PLACO). PLACO-identified SNPs were mapped to genes by Functional Mapping and Annotation of Genome-Wide Association Studies (FUMA), and gene set enrichment analysis and tissue differential expression were performed for the pleiotropic genes. Two-sample Mendelian randomization analyses assessed the bidirectional causality between conditions/diseases. RESULTS LDSC analyses revealed the genetic correlations for 20 pairs based on different two-disease combinations of 14 conditions/diseases, and genetic correlations for 10 pairs were significant after Bonferroni adjustment (P<0.05/91 = 5.49E-04). Significant pleiotropic SNPs were detected for 11 pairs of correlated conditions/diseases. The corresponding pleiotropic genes were differentially expressed in the brain, nerves, heart, and blood vessels and enriched in gluconeogenesis and drug metabolism, biotransformation, and neurons. Comprehensive causal analyses showed strong causality between hypertension, stroke, and high cholesterol, which drive the development of multiple diseases. CONCLUSIONS This study highlighted the complex mechanisms underlying the association patterns that include the shared genetic components and causal effects among the 14 conditions/diseases. These findings have important implications for guiding the early diagnosis, management, and treatment of comorbidities.
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Affiliation(s)
- Ting Fu
- Collaborative Innovation Center for Bone and Immunology between Sihong Hospital and Soochow University, Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu P. R. China
- Department of Orthopedics, Sihong Hospital, Suzhou, Jiangsu, P. R. China
| | - Yi-Qun Yang
- Collaborative Innovation Center for Bone and Immunology between Sihong Hospital and Soochow University, Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu P. R. China
- Department of Orthopedics, Sihong Hospital, Suzhou, Jiangsu, P. R. China
| | - Chang-Hua Tang
- Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Soochow University, Suzhou, Jiangsu, P. R. China
| | - Pei He
- Collaborative Innovation Center for Bone and Immunology between Sihong Hospital and Soochow University, Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu P. R. China
- Department of Orthopedics, Sihong Hospital, Suzhou, Jiangsu, P. R. China
| | - Shu-Feng Lei
- Collaborative Innovation Center for Bone and Immunology between Sihong Hospital and Soochow University, Center for Genetic Epidemiology and Genomics, School of Public Health, Suzhou Medical College of Soochow University, Suzhou, Jiangsu P. R. China
- Department of Orthopedics, Sihong Hospital, Suzhou, Jiangsu, P. R. China
- Changzhou Geriatric Hospital Affiliated to Soochow University, Changzhou, China
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Jazinaki MS, Bahari H, Rashidmayvan M, Arabi SM, Rahnama I, Malekahmadi M. The effects of raspberry consumption on lipid profile and blood pressure in adults: A systematic review and meta-analysis. Food Sci Nutr 2024; 12:2259-2278. [PMID: 38628181 PMCID: PMC11016397 DOI: 10.1002/fsn3.3940] [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: 11/03/2023] [Revised: 12/16/2023] [Accepted: 12/20/2023] [Indexed: 04/19/2024] Open
Abstract
Research into the effects of raspberry on blood pressure and lipid profiles is inconclusive. This meta-analysis was aimed to determine whether raspberry has beneficial effects in clinical practice and to what extent these effects are associated with blood pressure and lipid profiles. A systematic literature search up to September 2023 was completed in PubMed/Medline, Scopus, and Web of Science, to identify eligible RCTs. Heterogeneity tests of the selected trials were performed using the I 2 statistic. Random effects models were evaluated based on the heterogeneity tests, and pooled data were determined as weighted mean differences with a 95% confidence interval. Eleven randomized controlled trials (with 13 arms) were eligible for this meta-analysis. Our findings revealed that Raspberry consumption had no significant effects on the blood pressure and lipid profile markers, including systolic blood pressure (SBP) (WMD, -0.37 mm Hg; 95%CI: -2.19 to 1.44; p = .68), diastolic blood pressure (DBP) (WMD, -2.14 mm Hg; 95%CI: -4.27 to 0.00; p = .05), total cholesterol (TC) (WMD, -6.83 mg/dL; 95%CI: -15.11 to 1.44; p = .10), triglycerides (TG) (WMD, -5.19 mg/dL: 95%CI: -11.76 to 1.37; p = .12), low-density lipoprotein-cholesterol (LDL-C) (WMD, -5.19 mg/dL; 95%CI: -11.58 to 1.18; p = .11), and high-density lipoprotein-cholesterol (HDL-C) (WMD, 0.82 mg/dL; 95%CI: -1.67 to 3.32; p = .51), compared to control groups. Subgroup analysis showed that raspberry consumption significantly decreased total cholesterol and LDL-C levels in people with elevated TC levels, metabolic syndrome, and andropause symptoms, as well as those older than 35, while the consumption of raspberries led to a significant increase in HDL-C levels in females, obese, under 35, and healthy individuals. Raspberry can improve lipid profile and blood pressure, but it is important to keep in mind that further research is necessary to fully understand the exact mechanism of action and a definite conclusion in this regard.
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Affiliation(s)
- Mostafa Shahraki Jazinaki
- Department of Nutrition, Faculty of MedicineMashhad University of Medical SciencesMashhadIran
- Student Research CommitteeMashhad University of Medical SciencesMashhadIran
| | - Hossein Bahari
- Transplant Research Center, Clinical Research Institute, Mashhad University of Medical SciencesMashhadIran
| | - Mohammad Rashidmayvan
- Department of Nutrition, Food Sciences and Clinical Biochemistry, School of Medicine, Social Determinants of Health Research CenterGonabad University of Medical ScienceGonabadIran
| | - Seyyed Mostafa Arabi
- Noncommunicable Diseases Research CenterNeyshabur University of Medical SciencesNeyshaburIran
- Healthy Ageing Research CentreNeyshabur University of Medical SciencesNeyshaburIran
| | - Iman Rahnama
- Binaloud Institute of Higher EducationMashhadIran
| | - Mahsa Malekahmadi
- Imam Khomeini Hospital ComplexTehran University of Medical SciencesTehranIran
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Gamal Sherif S, Tarek M, Gamal Sabry Y, Hassan Abou Ghalia A. Effect of apigenin on dynamin-related protein 1 in type 1 diabetic rats with cardiovascular complications. Gene 2024; 898:148107. [PMID: 38141690 DOI: 10.1016/j.gene.2023.148107] [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: 08/31/2023] [Revised: 12/02/2023] [Accepted: 12/20/2023] [Indexed: 12/25/2023]
Abstract
BACKGROUND AND OBJECTIVE Cardiovascular complications cause increased mortality rates among diabetics. The molecular mechanisms of aberrant mitochondrial dynamics in diabetes mellitus (DM) are not fully understood. Dynamin-related protein 1 (Drp1) is thought to be a major regulator of mitochondrial fission. There is lack of studies that examined the relationship between apigenin and Drp1 expression in DM. Thus, the current study aimed to explore the expression of Drp1 in diabetic rats with cardiovascular complications, as well as to appraise the role of apigenin in modulating this expression. METHODS Twenty-eight adult male albino Wister rats were randomly and equally allocated into four groups: naive, streptozotocin-induced type 1 diabetic control and two apigenin-injected diabetic groups (early and late). Body weight, heart weight, blood pressure and ECG were recorded. Evaluation of blood glucose level, lipid profile and cardiac functions were measured. Determination of Drp1 mRNA expression, and histological examination of cardiac tissues from the four groups were performed. RESULTS Diabetic control rats developed decrease of body weight, increase of blood pressure, deterioration of the normal ECG pattern and upregulation of Drp1 mRNA expression in cardiac tissues. There was a significant correlation between the relative expression of Drp1 and all examined parameters. Apigenin-injection improved fasting blood glucose, lipid profile and cardiac function indicators (i.e., ECG parameters, CK-MB and troponin) as well as the cardiac histological structure. The decrease of Drp1 expression was more evident with early than with late apigenin-injection, however, without statistical significance. CONCLUSIONS Increased level of Drp1 expression in diabetic rats may be involved in the pathogenesis of diabetic cardiovascular complications. The changes that occurred in response to apigenin injection highlight its potential ameliorative effect on the diabetic cardiovascular complications and pave the route for further investigations.
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Affiliation(s)
- Sara Gamal Sherif
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain Shams University, Egypt.
| | - Marwa Tarek
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain Shams University, Egypt.
| | | | - Azza Hassan Abou Ghalia
- Department of Medical Biochemistry and Molecular Biology, Faculty of Medicine, Ain Shams University, Egypt.
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Zeng J, Zhang R, Zhao T, Wang H, Han L, Pu L, Jiang Y, Xu S, Ren H, Wang C. Plasma lipidomic profiling reveals six candidate biomarkers for the prediction of incident stroke in patients with hypertension. Metabolomics 2024; 20:13. [PMID: 38180633 DOI: 10.1007/s11306-023-02081-z] [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: 07/28/2023] [Accepted: 12/11/2023] [Indexed: 01/06/2024]
Abstract
INTRODUCTION The burden of stroke in patients with hypertension is very high, and its prediction is critical. OBJECTIVES We aimed to use plasma lipidomics profiling to identify lipid biomarkers for predicting incident stroke in patients with hypertension. METHODS This was a nested case-control study. Baseline plasma samples were collected from 30 hypertensive patients with newly developed stroke, 30 matched patients with hypertension, 30 matched patients at high risk of stroke, and 30 matched healthy controls. Lipidomics analysis was performed by ultrahigh-performance liquid chromatography-tandem mass spectrometry, and differential lipid metabolites were screened using multivariate and univariate statistical methods. Machine learning methods (least absolute shrinkage and selection operator, random forest) were used to identify candidate biomarkers for predicting stroke in patients with hypertension. RESULTS Co-expression network analysis revealed that the key molecular alterations of the lipid network in stroke implicate glycerophospholipid metabolism and choline metabolism. Six lipid metabolites were identified as candidate biomarkers by multivariate statistical and machine learning methods, namely phosphatidyl choline(40:3p)(rep), cholesteryl ester(20:5), monoglyceride(29:5), triglyceride(18:0p/18:1/18:1), triglyceride(18:1/18:2/21:0) and coenzyme(q9). The combination of these six lipid biomarkers exhibited good diagnostic and predictive ability, as it could indicate a risk of stroke at an early stage in patients with hypertension (area under the curve = 0.870; 95% confidence interval: 0.783-0.957). CONCLUSIONS We determined lipidomic signatures associated with future stroke development and identified new lipid biomarkers for predicting stroke in patients with hypertension. The biomarkers have translational potential and thus may serve as blood-based biomarkers for predicting hypertensive stroke.
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Affiliation(s)
- Jingjing Zeng
- Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No.2 Hospital, Ningbo, 315000, China
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life and Health Industry, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, China
- Department of Cardiology, Ningbo No.2 Hospital, Ningbo, 315000, China
| | - Ruijie Zhang
- Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No.2 Hospital, Ningbo, 315000, China
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life and Health Industry, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, China
| | - Tian Zhao
- Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No.2 Hospital, Ningbo, 315000, China
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life and Health Industry, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, China
| | - Han Wang
- Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No.2 Hospital, Ningbo, 315000, China
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life and Health Industry, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, China
| | - Liyuan Han
- Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No.2 Hospital, Ningbo, 315000, China
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life and Health Industry, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, China
| | - Liyuan Pu
- Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No.2 Hospital, Ningbo, 315000, China
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life and Health Industry, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, China
| | - Yannan Jiang
- Key Laboratory of Diagnosis and Treatment of Digestive System Tumors of Zhejiang Province, Ningbo No.2 Hospital, Ningbo, 315000, China
- Center for Cardiovascular and Cerebrovascular Epidemiology and Translational Medicine, Ningbo Institute of Life and Health Industry, Guoke Ningbo Life Science and Health Industry Research Institute, Ningbo, 315000, China
| | - Shan Xu
- Department of Non-Communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518000, China
| | - Huiming Ren
- Department of Rehabilitation Medicine, Ningbo No.2 Hospital, Ningbo, 315000, China.
| | - Changyi Wang
- Department of Non-Communicable Disease Prevention and Control, Shenzhen Nanshan Center for Chronic Disease Control, Shenzhen, 518000, China.
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Hernandez-Baixauli J, Chomiciute G, Alcaide-Hidalgo JM, Crescenti A, Baselga-Escudero L, Palacios-Jordan H, Foguet-Romero E, Pedret A, Valls RM, Solà R, Mulero M, Del Bas JM. Developing a model to predict the early risk of hypertriglyceridemia based on inhibiting lipoprotein lipase (LPL): a translational study. Sci Rep 2023; 13:22646. [PMID: 38114521 PMCID: PMC10730820 DOI: 10.1038/s41598-023-49277-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Accepted: 12/06/2023] [Indexed: 12/21/2023] Open
Abstract
Hypertriglyceridemia (HTG) is an independent risk factor for atherosclerotic cardiovascular disease (ASCVD). One of the multiple origins of HTG alteration is impaired lipoprotein lipase (LPL) activity, which is an emerging target for HTG treatment. We hypothesised that early, even mild, alterations in LPL activity might result in an identifiable metabolomic signature. The aim of the present study was to assess whether a metabolic signature of altered LPL activity in a preclinical model can be identified in humans. A preclinical LPL-dependent model of HTG was developed using a single intraperitoneal injection of poloxamer 407 (P407) in male Wistar rats. A rat metabolomics signature was identified, which led to a predictive model developed using machine learning techniques. The predictive model was applied to 140 humans classified according to clinical guidelines as (1) normal, less than 1.7 mmol/L; (2) risk of HTG, above 1.7 mmol/L. Injection of P407 in rats induced HTG by effectively inhibiting plasma LPL activity. Significantly responsive metabolites (i.e. specific triacylglycerols, diacylglycerols, phosphatidylcholines, cholesterol esters and lysophospholipids) were used to generate a predictive model. Healthy human volunteers with the impaired predictive LPL signature had statistically higher levels of TG, TC, LDL and APOB than those without the impaired LPL signature. The application of predictive metabolomic models based on mechanistic preclinical research may be considered as a strategy to stratify subjects with HTG of different origins. This approach may be of interest for precision medicine and nutritional approaches.
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Affiliation(s)
- Julia Hernandez-Baixauli
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204, Reus, Spain
- Laboratory of Metabolism and Obesity, Vall d'Hebron-Institut de Recerca, Universitat Autònoma de Barcelona, Barcelona, Spain
| | - Gertruda Chomiciute
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204, Reus, Spain
| | | | - Anna Crescenti
- Eurecat, Centre Tecnològic de Catalunya, Unitat de Nutrició i Salut, 43204, Reus, Spain
| | | | - Hector Palacios-Jordan
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204, Reus, Spain
| | - Elisabet Foguet-Romero
- Eurecat, Centre Tecnològic de Catalunya, Centre for Omic Sciences (COS), Joint Unit Universitat Rovira i Virgili-EURECAT, 43204, Reus, Spain
| | - Anna Pedret
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira I Virgili, C/Sant Llorenç, 21, 43201, Reus, Spain
| | - Rosa M Valls
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira I Virgili, C/Sant Llorenç, 21, 43201, Reus, Spain
| | - Rosa Solà
- Functional Nutrition, Oxidation and Cardiovascular Diseases Group (NFOC-Salut), Facultat de Medicina i Ciències de la Salut, Universitat Rovira I Virgili, C/Sant Llorenç, 21, 43201, Reus, Spain
- Internal Medicine Service, Hospital Universitari Sant Joan de Reus, Av/del Doctor Josep Laporte, 2, 43204, Reus, Spain
| | - Miquel Mulero
- Nutrigenomics Research Group, Department of Biochemistry and Biotechnology, Universitat Rovira i Virgili, 43007, Tarragona, Spain.
| | - Josep M Del Bas
- Eurecat, Centre Tecnològic de Catalunya, Àrea Biotecnologia, Reus, Spain.
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da Silva CSO, Monteiro MGCA, Fechine CPNDS, Tavares JF, Souto AL, Luna RCP, Pimenta FCF, E Silva AHA, da Silva Diniz A, da Silva Júnior CC, Alverga CCF, Dos Santos SG, Persuhn DC, de Carvalho Costa MJ. Highlights of three metabolites HDL and reduction in blood pressure values after dietary fiber supplementation in overweight and obese normotensive women: a metabolomic study. Metabolomics 2023; 19:95. [PMID: 37975928 PMCID: PMC10656339 DOI: 10.1007/s11306-023-02057-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/06/2023] [Accepted: 10/10/2023] [Indexed: 11/19/2023]
Abstract
INTRODUCTION The prevalence of hypertension and obesity are a worldwide concern. OBJETIVES Assess the metabolites profile after intervention with mixed dietary fiber in overweight and obese normotensive women. METHODS This is a randomized double blind placebo-controlled study. Through a simple randomization process, two groups were allocated, with eleven women (group 1) receiving 12 g of mixed dietary fiber and thirteen women (group 2) receiving 12 g of placebo (corn starch) for eight weeks. Anthropometric and biochemical tests and lifestyle were analyzed. As for evaluation metabolomics, used a 1H NMR. The data matrix generated 96 samples and 225 variables, which was exported in the ASCII format for the "The Unscrumbler" statistics software (version 9.7, CAMO Process). RESULTS After the intervention with mixed dietary fiber, significant differences were observed between the main types of metabolites, referring to the increase in the relative peak areas of in three HDL metabolites 4.94 ppm (0.0086*), HDL 1.28 ppm (0 .0337*), HDL 0.88 ppm (0.0224*) and an α-glucose metabolite 4.90 ppm (0.0106) and the reduction in systolic blood pressure (SBP) (0.0292*) of 7 mmHg in the reference range and in the placebo group there was a reduction in SBP (0.0118*) of 4 mmHg and of a choline metabolite 3.65 ppm (0.0266*), which does not call into question the validity of these results in the literature. CONCLUSION The synergism of the functions of these statistically highlighted metabolites contributed to prevention the increase in SBP after fiber intervention in overweight and obese normotensive women.
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Affiliation(s)
| | | | | | - Josean Fechine Tavares
- Department of Pharmaceutical Sciences, Federal University of Paraiba, João, Pessoa, 58059-900, Brazil
| | - Augusto Lopes Souto
- Department of Pharmaceutical Sciences, Federal University of Paraiba, João, Pessoa, 58059-900, Brazil
| | | | | | - Ana Herminia Andrade E Silva
- Department of Statistics, Centre for Exact and Natural Sciences, Federal University of Paraiba, João, Pessoa, 58059-900, Brazil
| | - Alcides da Silva Diniz
- Department of Nutrition, Health Sciences Center, Federal University of Pernambuco, Recife, 50670-901, Brazil
| | | | | | | | - Darlene Camati Persuhn
- Postgraduate Program in Nutrition Sciences, Federal University of Paraíba, João, Pessoa, 58059-900, Brazil
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Dąbrowska E, Narkiewicz K. Hypertension and Dyslipidemia: the Two Partners in Endothelium-Related Crime. Curr Atheroscler Rep 2023; 25:605-612. [PMID: 37594602 PMCID: PMC10471742 DOI: 10.1007/s11883-023-01132-z] [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] [Accepted: 07/07/2023] [Indexed: 08/19/2023]
Abstract
PURPOSE OF REVIEW The goal of this article is to characterize the endothelium's role in the development of hypertension and dyslipidemia and to point out promising therapeutic directions. RECENT FINDINGS Dyslipidemia may facilitate the development of hypertension, whereas the collaboration of these two silent killers potentiates the risk of atherosclerosis. The common pathophysiological denominator for hypertension and dyslipidemia is endothelial cell dysfunction, which manifests as dysregulation of homeostasis, redox balance, vascular tone, inflammation, and thrombosis. Treatment focused on mediators acting in these processes might be groundbreaking. Metabolomic research on hypertension and dyslipidemia has revealed new therapeutic targets. State-of-the-art solutions integrating interview, clinical examination, innovative imaging, and omics profiles along with artificial intelligence have been already shown to improve patients' risk stratification and treatment. Pathomechanisms underlying hypertension and dyslipidemia take place in the endothelium. Novel approaches involving endothelial biomarkers and bioinformatics advances could open new perspectives in patient management.
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Affiliation(s)
- Edyta Dąbrowska
- Center of Translational Medicine, Medical University of Gdańsk, Dębinki 7, 80-952 Gdańsk, Poland
| | - Krzysztof Narkiewicz
- Center of Translational Medicine, Medical University of Gdańsk, Dębinki 7, 80-952 Gdańsk, Poland
- Department of Hypertension and Diabetology, Medical University of Gdańsk, Smoluchowskiego 17, 80-214, Gdańsk, Poland
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Liao F, Yousif M, Huang R, Qiao Y, Hu Y. Network pharmacology- and molecular docking-based analyses of the antihypertensive mechanism of Ilex kudingcha. Front Endocrinol (Lausanne) 2023; 14:1216086. [PMID: 37664830 PMCID: PMC10470839 DOI: 10.3389/fendo.2023.1216086] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Accepted: 07/27/2023] [Indexed: 09/05/2023] Open
Abstract
Herein, network pharmacology was used to identify the active components in Ilex kudingcha and common hypertension-related targets. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses were conducted, and molecular docking was performed to verify molecular dynamic simulations. Six active components in Ilex kudingcha were identified; furthermore, 123 target genes common to hypertension were identified. Topological analysis revealed the strongly associated proteins, with RELA, AKT1, JUN, TP53, TNF, and MAPK1 being the predicted targets of the studied traditional Chinese medicine. In addition, GO enrichment analysis revealed significant enrichment of biological processes such as oxidative stress, epithelial cell proliferation, cellular response to chemical stress, response to xenobiotic stimulus, and wound healing. Furthermore, KEGG enrichment analysis revealed that the genes were particularly enriched in lipid and atherosclerosis, fluid shear stress and atherosclerosis, and other pathways. Molecular docking revealed that the key components in Ilex kudingcha exhibited good binding potential to the target genes RELA, AKT1, JUN, TP53, TNF, and IL-6. Our study results suggest that Ilex kudingcha plays a role in hypertension treatment by exerting hypolipidemic, anti-inflammatory, and antioxidant effects and inhibiting the transcription of atherosclerosis-related genes.
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Affiliation(s)
- Fei Liao
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Wenjiang, China
- Department of Animal Husbandry and Fisheries, Guizhou Vocational College of Agriculture, Qingzhen, China
| | - Muhammad Yousif
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Wenjiang, China
| | - Ruya Huang
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Wenjiang, China
| | - Yanlong Qiao
- Department of Animal Husbandry and Fisheries, Guizhou Vocational College of Agriculture, Qingzhen, China
| | - Yanchun Hu
- Key Laboratory of Animal Disease and Human Health of Sichuan Province, College of Veterinary Medicine, Sichuan Agricultural University, Wenjiang, China
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10
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Chen M, Miao G, Zhang Y, Umans JG, Lee ET, Howard BV, Fiehn O, Zhao J. Longitudinal Lipidomic Profile of Hypertension in American Indians: Findings From the Strong Heart Family Study. Hypertension 2023; 80:1771-1783. [PMID: 37334699 PMCID: PMC10526703 DOI: 10.1161/hypertensionaha.123.21144] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2023] [Accepted: 06/06/2023] [Indexed: 06/20/2023]
Abstract
BACKGROUND Dyslipidemia is an important risk factor for hypertension and cardiovascular disease. Standard lipid panel cannot reflect the complexity of blood lipidome. The associations of individual lipid species with hypertension remain to be determined in large-scale epidemiological studies, especially in a longitudinal setting. METHODS Using liquid chromatography-mass spectrometry, we repeatedly measured 1542 lipid species in 3699 fasting plasma samples at 2 visits (1905 at baseline, 1794 at follow-up, ~5.5 years apart) from 1905 unique American Indians in the Strong Heart Family Study. We first identified baseline lipids associated with prevalent and incident hypertension, followed by replication of top hits in Europeans. We then conducted repeated measurement analysis to examine the associations of changes in lipid species with changes in systolic blood pressure, diastolic blood pressure, and mean arterial pressure. Network analysis was performed to identify lipid networks associated with the risk of hypertension. RESULTS Baseline levels of multiple lipid species, for example, glycerophospholipids, cholesterol esters, sphingomyelins, glycerolipids, and fatty acids, were significantly associated with both prevalent and incident hypertension in American Indians. Some lipids were confirmed in Europeans. Longitudinal changes in multiple lipid species, for example, acylcarnitines, phosphatidylcholines, fatty acids, and triacylglycerols, were significantly associated with changes in blood pressure measurements. Network analysis identified distinct lipidomic patterns associated with the risk of hypertension. CONCLUSIONS Baseline plasma lipid species and their longitudinal changes are significantly associated with hypertension development in American Indians. Our findings shed light on the role of dyslipidemia in hypertension and may offer potential opportunities for risk stratification and early prediction of hypertension.
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Affiliation(s)
- Mingjing Chen
- Department of Epidemiology, College of Public Health & Health Professions and College of Medicine, University of Florida, Gainesville, FL
| | - Guanhong Miao
- Department of Epidemiology, College of Public Health & Health Professions and College of Medicine, University of Florida, Gainesville, FL
| | - Ying Zhang
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Jason G. Umans
- MedStar Health Research Institute, Hyattsville, MD
- Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC
| | - Elisa T. Lee
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK
| | - Barbara V. Howard
- MedStar Health Research Institute, Hyattsville, MD
- Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California-Davis, CA
| | - Jinying Zhao
- Department of Epidemiology, College of Public Health & Health Professions and College of Medicine, University of Florida, Gainesville, FL
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11
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Chen BY, Li YL, Lin WZ, Bi C, Du LJ, Liu Y, Zhou LJ, Liu T, Xu S, Zhang J, Liu Y, Zhu H, Zhang WC, Zhang ZY, Duan SZ. Integrated Omic Analysis of Human Plasma Metabolites and Microbiota in a Hypertension Cohort. Nutrients 2023; 15:2074. [PMID: 37432207 DOI: 10.3390/nu15092074] [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: 03/12/2023] [Revised: 04/16/2023] [Accepted: 04/23/2023] [Indexed: 07/12/2023] Open
Abstract
Hypertension is closely related to metabolic dysregulation, which is associated with microbial dysbiosis and altered host-microbiota interactions. However, plasma metabolite profiles and their relationships to oral/gut microbiota in hypertension have not been evaluated in depth. Plasma, saliva, subgingival plaques, and feces were collected from 52 hypertensive participants and 24 healthy controls in a cross-sectional cohort. Untargeted metabolomic profiling of plasma was performed using high-performance liquid chromatography-mass spectrometry. Microbial profiling of oral and gut samples was determined via 16S rRNA and metagenomic sequencing. Correlations between metabolites and clinic parameters/microbiota were identified using Spearman's correlation analysis. Metabolomic evaluation showed distinct clusters of metabolites in plasma between hypertensive participants and control participants. Hypertensive participants had six significantly increased and thirty-seven significantly decreased plasma metabolites compared to controls. The plasma metabolic similarity significantly correlated with the community similarity of microbiota. Both oral and gut microbial community composition had significant correlations with metabolites such as Sphingosine 1-phosphate, a molecule involved in the regulation of blood pressure. Plasma metabolites had a larger number of significant correlations with bacterial genera than fungal genera. The shared oral/gut bacterial genera had more correlations with metabolites than unique genera but shared fungal genera and metabolites did not show clear clusters. The hypertension group had fewer correlations between plasma metabolites and bacteria/fungi than controls at species level. The integrative analysis of plasma metabolome and oral/gut microbiome identified unreported alterations of plasma metabolites in hypertension and revealed correlations between altered metabolites and oral/gut microbiota. These observations suggested metabolites and microbiota may become valuable targets for therapeutic and preventive interventions of hypertension.
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Affiliation(s)
- Bo-Yan Chen
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Yu-Lin Li
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Wen-Zhen Lin
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Chao Bi
- Department of Stomatology, First Affiliated Hospital, Anhui Medical University, Hefei 230022, China
| | - Lin-Juan Du
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Yuan Liu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Lu-Jun Zhou
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
- Department of General Dentistry, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
| | - Ting Liu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Shuo Xu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Jun Zhang
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Yan Liu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Hong Zhu
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Wu-Chang Zhang
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Zhi-Yuan Zhang
- Department of Oral and Maxillofacial-Head and Neck Oncology, Shanghai Ninth People's Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai 200011, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
| | - Sheng-Zhong Duan
- Laboratory of Oral Microbiota and Systemic Diseases, Shanghai Ninth People's Hospital, College of Stomatology, Shanghai Jiao Tong University School of Medicine, Shanghai 200125, China
- National Center for Stomatology; National Clinical Research Center for Oral Diseases; Shanghai Key Laboratory of Stomatology, Shanghai 200125, China
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12
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Li J, Ge P, He Q, Liu C, Zeng C, Tao C, Zhai Y, Wang J, Zhang Q, Wang R, Zhang Y, Zhang D, Zhao J. Association between methionine sulfoxide and risk of moyamoya disease. Front Neurosci 2023; 17:1158111. [PMID: 37123363 PMCID: PMC10130537 DOI: 10.3389/fnins.2023.1158111] [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: 02/03/2023] [Accepted: 03/16/2023] [Indexed: 05/02/2023] Open
Abstract
Objective Methionine sulfoxide (MetO) has been identified as a risk factor for vascular diseases and was considered as an important indicator of oxidative stress. However, the effects of MetO and its association with moyamoya disease (MMD) remained unclear. Therefore, we performed this study to evaluate the association between serum MetO levels and the risk of MMD and its subtypes. Methods We eventually included consecutive 353 MMD patients and 88 healthy controls (HCs) with complete data from September 2020 to December 2021 in our analyzes. Serum levels of MetO were quantified using liquid chromatography-mass spectrometry (LC-MS) analysis. We evaluated the role of MetO in MMD using logistic regression models and confirmed by receiver-operating characteristic (ROC) curves and area under curve (AUC) values. Results We found that the levels of MetO were significantly higher in MMD and its subtypes than in HCs (p < 0.001 for all). After adjusting for traditional risk factors, serum MetO levels were significantly associated with the risk of MMD and its subtypes (p < 0.001 for all). We further divided the MetO levels into low and high groups, and the high MetO level was significantly associated with the risk of MMD and its subtypes (p < 0.05 for all). When MetO levels were assessed as quartiles, we found that the third (Q3) and fourth (Q4) MetO quartiles had a significantly increased risk of MMD compared with the lowest quartile (Q3, OR: 2.323, 95%CI: 1.088-4.959, p = 0.029; Q4, OR: 5.559, 95%CI: 2.088-14.805, p = 0.001). Conclusion In this study, we found that a high level of serum MetO was associated with an increased risk of MMD and its subtypes. Our study raised a novel perspective on the pathogenesis of MMD and suggested potential therapeutic targets.
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Affiliation(s)
- Junsheng Li
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Peicong Ge
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qiheng He
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chenglong Liu
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chaofan Zeng
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Chuming Tao
- Department of Neurosurgery, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Yuanren Zhai
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Jia Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Qian Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Rong Wang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Yan Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
| | - Dong Zhang
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
- *Correspondence: Dong Zhang,
| | - Jizong Zhao
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- China National Clinical Research Center for Neurological Diseases, Beijing, China
- Center of Stroke, Beijing Institute for Brain Disorders, Beijing, China
- Beijing Key Laboratory of Translational Medicine for Cerebrovascular Disease, Beijing, China
- Beijing Translational Engineering Center for 3D Printer in Clinical Neuroscience, Beijing, China
- Savaid Medical School, University of the Chinese Academy of Sciences, Beijing, China
- Jizong Zhao,
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13
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Borroni E, Frigerio G, Polledri E, Mercadante R, Maggioni C, Fedrizzi L, Pesatori AC, Fustinoni S, Carugno M. Metabolomic profiles in night shift workers: A cross-sectional study on hospital female nurses. Front Public Health 2023; 11:1082074. [PMID: 36908447 PMCID: PMC9999616 DOI: 10.3389/fpubh.2023.1082074] [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: 10/27/2022] [Accepted: 02/06/2023] [Indexed: 02/25/2023] Open
Abstract
Background and aim Shift work, especially including night shifts, has been found associated with several diseases, including obesity, diabetes, cancers, and cardiovascular, mental, gastrointestinal and sleep disorders. Metabolomics (an omics-based methodology) may shed light on early biological alterations underlying these associations. We thus aimed to evaluate the effect of night shift work (NSW) on serum metabolites in a sample of hospital female nurses. Methods We recruited 46 nurses currently working in NSW in Milan (Italy), matched to 51 colleagues not employed in night shifts. Participants filled in a questionnaire on demographics, lifestyle habits, personal and family health history and work, and donated a blood sample. The metabolome was evaluated through a validated targeted approach measuring 188 metabolites. Only metabolites with at least 50% observations above the detection limit were considered, after standardization and log-transformation. Associations between each metabolite and NSW were assessed applying Tobit regression models and Random Forest, a machine-learning algorithm. Results When comparing current vs. never night shifters, we observed lower levels of 21 glycerophospholipids and 6 sphingolipids, and higher levels of serotonin (+171.0%, 95%CI: 49.1-392.7), aspartic acid (+155.8%, 95%CI: 40.8-364.7), and taurine (+182.1%, 95%CI: 67.6-374.9). The latter was higher in former vs. never night shifters too (+208.8%, 95%CI: 69.2-463.3). Tobit regression comparing ever (i.e., current + former) and never night shifters returned similar results. Years worked in night shifts did not seem to affect metabolite levels. The Random-Forest algorithm confirmed taurine and aspartic acid among the most important variables in discriminating current vs. never night shifters. Conclusions This study, although based on a small sample size, shows altered levels of some metabolites in night shift workers. If confirmed, our results may shed light on early biological alterations that might be related to adverse health effects of NSW.
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Affiliation(s)
- Elisa Borroni
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Gianfranco Frigerio
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.,Luxembourg Centre for Systems Biomedicine (LCSB), University of Luxembourg, Esch-sur-Alzette, Luxembourg.,Occupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Elisa Polledri
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Rosa Mercadante
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Cristina Maggioni
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy
| | - Luca Fedrizzi
- Occupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Angela Cecilia Pesatori
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.,Occupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Silvia Fustinoni
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.,Occupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
| | - Michele Carugno
- Department of Clinical Sciences and Community Health, University of Milan, Milan, Italy.,Occupational Health Unit, Fondazione IRCCS Ca' Granda Ospedale Maggiore Policlinico, Milan, Italy
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14
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Niu Z, Wu Q, Luo Y, Wang D, Zheng H, Wu Y, Yang X, Zeng R, Sun L, Lin X. Plasma Lipidomic Subclasses and Risk of Hypertension in Middle-Aged and Elderly Chinese. PHENOMICS (CHAM, SWITZERLAND) 2022; 2:283-294. [PMID: 36939788 PMCID: PMC9590468 DOI: 10.1007/s43657-022-00057-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/21/2022] [Revised: 04/20/2022] [Accepted: 04/23/2022] [Indexed: 10/18/2022]
Abstract
While disrupted lipid metabolism is a well-established risk factor for hypertension in animal models, the links between various lipidomic signatures and hypertension in human studies remain unclear. We aimed to examine associations between plasma lipidomic profiles and prevalence of hypertension among 2248 community-living Chinese aged 50-70 years. Hypertension was defined according to 2020 International Society of Hypertension global hypertension practice guidelines and 2018 Chinese guidelines. In total, 728 plasma lipidomic species were profiled using high-coverage targeted lipidomics. After multivariate adjustment, including lifestyle, body mass index, blood lipids, and sodium intake, 110 metabolites from nine lipidomic subclasses showed significant associations with hypertension, among which phosphatidylethanolamines (PEs) had the strongest association. Eleven lipidomic signals for hypertension risk were further identified from the nine subclasses, including PE(18:0/18:2) (OR per SD, 1.49; 95% confidence intervals, 1.30-1.69), phosphatidylcholine (PC) (18:0/18:2) (1.27; 1.13-1.43), phosphatidylserine (18:0/18:0) (1.24; 1.09-1.41), lysophosphatidylinositol (18:1) (1.17; 1.06-1.29), triacylglycerol (52:5) (1.38; 1.18-1.61), diacylglycerol (16:0/18:2) (1.42; 1.19-1.69), dihydroceramide (24:0) (1.25; 1.09-1.43), hydroxyl-sphingomyelins (SM[2OH])C34:1 (1.19; 1.07-1.33), lysophosphatidylcholine (20:1) (0.86; 0.78-0.95), SM(OH)C38:1 (0.87; 0.79-0.96), and PC (18:2/20:1) (0.84; 0.75-0.94). Principal component analysis also showed that a factor mainly containing specific PEs was positively associated with hypertension (1.20; 1.09-1.33). Collectively, our study revealed that disturbances in multiple circulating lipidomic subclasses and signatures, especially PEs, were significantly associated with the prevalence of hypertension in middle-aged and elderly Chinese. Future studies are warranted to confirm our findings and determine the mechanisms underlying these associations. Supplementary Information The online version contains supplementary material available at 10.1007/s43657-022-00057-y.
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Affiliation(s)
- Zhenhua Niu
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd., Shanghai, 200031 China
| | - Qingqing Wu
- Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031 China
| | - Yaogan Luo
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd., Shanghai, 200031 China
| | - Di Wang
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd., Shanghai, 200031 China
| | - He Zheng
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd., Shanghai, 200031 China
| | - Yanpu Wu
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd., Shanghai, 200031 China
| | - Xiaowei Yang
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd., Shanghai, 200031 China
| | - Rong Zeng
- Shanghai Institute of Biochemistry and Cell Biology, Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, 200031 China
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, 310024 China
- Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, 310024 China
| | - Liang Sun
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd., Shanghai, 200031 China
| | - Xu Lin
- Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, 320 Yue-yang Rd., Shanghai, 200031 China
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, 310024 China
- Key Laboratory of Systems Health Science of Zhejiang Province, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, 310024 China
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15
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Sun C, Wang Z, Hu L, Zhang X, Chen J, Yu Z, Liu L, Wu M. Targets of statins intervention in LDL-C metabolism: Gut microbiota. Front Cardiovasc Med 2022; 9:972603. [PMID: 36158845 PMCID: PMC9492915 DOI: 10.3389/fcvm.2022.972603] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/18/2022] [Accepted: 08/08/2022] [Indexed: 11/13/2022] Open
Abstract
Increasing researches have considered gut microbiota as a new “metabolic organ,” which mediates the occurrence and development of metabolic diseases. In addition, the liver is an important organ of lipid metabolism, and abnormal lipid metabolism can cause the elevation of blood lipids. Among them, elevated low-density lipoprotein cholesterol (LDL-C) is related with ectopic lipid deposition and metabolic diseases, and statins are widely used to lower LDL-C. In recent years, the gut microbiota has been shown to mediate statins efficacy, both in animals and humans. The effect of statins on microbiota abundance has been deeply explored, and the pathways through which statins reduce the LDL-C levels by affecting the abundance of microbiota have gradually been explored. In this review, we discussed the interaction between gut microbiota and cholesterol metabolism, especially the cholesterol-lowering effect of statins mediated by gut microbiota, via AMPK-PPARγ-SREBP1C/2, FXR and PXR-related, and LPS-TLR4-Myd88 pathways, which may help to explain the individual differences in statins efficacy.
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Affiliation(s)
- ChangXin Sun
- Beijing University of Chinese Medicine, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - ZePing Wang
- Beijing University of Chinese Medicine, Beijing, China
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - LanQing Hu
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - XiaoNan Zhang
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - JiYe Chen
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - ZongLiang Yu
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - LongTao Liu
- Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- *Correspondence: LongTao Liu
| | - Min Wu
- Guang'anmen Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Min Wu
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16
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Hormonal characteristics of androgen status and their relationship with the anthropometric and metabolic parameter in men depending on the severity of hypertension. ACTA BIOMEDICA SCIENTIFICA 2022. [DOI: 10.29413/abs.2022-7.4.6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Background. According to the literature data, long-term and poorly controlled hypertension (HTN) leads to target organs damage, and in some cases, to the development of associated diseases, the severity of which in men may be partly due to the characteristics of the androgenic status.The aim: to reveal the features of hormonal indicators of androgen status and their relationship with the anthropometric and metabolic characteristics of the therapeutic clinic male patients, depending on the severity of HTN.Materials and methods. 296 men aged 59,0 [54,0; 65,0] years with confirmed HTN were examined. All study participants in the morning on an empty stomach underwent anthropometry, determination of metabolic and androgenic status, and assessment of comorbid burden. Depending on the severity of hypertension, all patients were divided into two groups (G): G1 (n = 134) – patients with hypertension without a history of coronary artery disease or stroke; G2 (n = 162) – patients with hypertension with a history of ischemic heart disease (IHD) and/or stroke.Results. In male patients of G2 with severe HTN, a decrease in the levels of free testosterone (FT) and, to a greater extent, dehydroepiandrosterone sulfate (DHEA-S), as well as total cholesterol, high and low density lipoproteins, was revealed. The correlation analysis performed revealed statistically significant negative correlations between the levels of total testosterone (TT) and FT with body mass index, the value of the ratio of waist circumference to hips, only the level of FT – with the presence of IHD, chronic heart failure (CHF), disorders of carbohydrate metabolism and abdominal type of fat distribution, and the level of DHEA-S – with the presence of IHD and CHF.Conclusion. A decrease in FT and DHEA-S is associated with early progression of atherosclerosis and the risk of developing HTN-associated cardiovascular events, which can aggravate the course of HTN.
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Mehanna M, McDonough CW, Smith SM, Gong Y, Gums JG, Chapman AB, Johnson JA, Cooper-DeHoff RM. Influence of Genetic West African Ancestry on Metabolomics among Hypertensive Patients. Metabolites 2022; 12:metabo12090783. [PMID: 36144188 PMCID: PMC9506508 DOI: 10.3390/metabo12090783] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2022] [Revised: 08/18/2022] [Accepted: 08/20/2022] [Indexed: 12/02/2022] Open
Abstract
Patients with higher genetic West African ancestry (GWAA) have hypertension (HTN) that is more difficult to treat and have higher rates of cardiovascular diseases (CVD) and differential responses to antihypertensive drugs than those with lower GWAA. The mechanisms underlying these disparities are poorly understood. Using data from 84 ancestry-informative markers in US participants from the Pharmacogenomic Evaluation of Antihypertensive Responses (PEAR) and PEAR-2 trials, the GWAA proportion was estimated. Using multivariable linear regression, the baseline levels of 886 metabolites were compared between PEAR participants with GWAA < 45% and those with GWAA ≥ 45% to identify differential metabolites and metabolic clusters. Metabolites with a false discovery rate (FDR) < 0.2 were used to create metabolic clusters, and a cluster analysis was conducted. Differential clusters were then tested for replication in PEAR-2 participants. We identified 353 differential metabolites (FDR < 0.2) between PEAR participants with GWAA < 45% (n = 383) and those with GWAA ≥ 45% (n = 250), which were used to create 24 metabolic clusters. Of those, 13 were significantly different between groups (Bonferroni p < 0.002). Four clusters, plasmalogen and lysoplasmalogen, sphingolipid metabolism and ceramide, cofactors and vitamins, and the urea cycle, were replicated in PEAR-2 (Bonferroni p < 0.0038) and have been previously linked to HTN and CVD. Our findings may give insights into the mechanisms underlying HTN racial disparities.
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Affiliation(s)
- Mai Mehanna
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Caitrin W. McDonough
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Steven M. Smith
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
- Department of Pharmaceutical Outcomes & Policy, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Yan Gong
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - John G. Gums
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Arlene B. Chapman
- Department of Medicine, University of Chicago, Chicago, IL 60637, USA
| | - Julie A. Johnson
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
| | - Rhonda M. Cooper-DeHoff
- Department of Pharmacotherapy and Translational Research and Center for Pharmacogenomics and Precision Medicine, College of Pharmacy, University of Florida, Gainesville, FL 32610, USA
- Correspondence: ; Tel.: +1-(352)-273-6184
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18
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Different Exposure Metrics of Rotating Night-Shift Work and Serum Lipid Profiles Among Steelworkers. J Occup Environ Med 2022; 64:e475-e481. [DOI: 10.1097/jom.0000000000002588] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/26/2022]
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19
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Chen S, Cheng W. Relationship Between Lipid Profiles and Hypertension: A Cross-Sectional Study of 62,957 Chinese Adult Males. Front Public Health 2022; 10:895499. [PMID: 35664125 PMCID: PMC9159857 DOI: 10.3389/fpubh.2022.895499] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/13/2022] [Accepted: 04/11/2022] [Indexed: 12/05/2022] Open
Abstract
Background Patterns of dyslipidemia and incidence of hypertension have been rarely reported in Asian populations with inconsistent findings. To accumulate further evidence in Asian populations, the study aimed to investigate the relationship between lipid profiles and hypertension in Chinese adult males. Methods We conducted a cross-sectional study based on the data from the DATADRYAD database. The overall population was divided into hypertensive and non-hypertensive groups based on baseline blood pressure levels. For continuous variables, Mann-Whitney test was performed between two groups, while Kruskal-Wallis and Dunn tests were used among multiple groups. The chi-square test was carried out for dichotomous variables. Spearman's correlation coefficient was employed to assess the association between systolic blood pressure (SBP), diastolic blood pressure (DBP) and lipid profiles, whereas the relationship between lipid profiles and the incidence of hypertension was evaluated using multivariate logistic regression. The Bayesian network (BN) model was adopted to investigate the relationship between clinical characteristics and hypertension, and the importance of related predictor to the incidence of hypertension was obtained to make conditional probability analysis. Results Finally, totally 62,957 participants were included in this study. In the lipid profiles, total cholesterol (TC), low-density cholesterol (LDL-c), and non- high-density lipoprotein cholesterol (non-HDL-c) were higher in the hypertensive population (p <0.001). In the fully multivariate model, for every 1 mg/dl increase in TC, LDL-c and non-HDL, the risk of hypertension increased by 0.2% [1.002 (1.001–1.003)], 0.1% [1.001 (1.000–1.002)], and 0.1% [1.001 (1.000–1.002)]. Meanwhile, HDL-c became positively associated with the incidence of hypertension (p for trend < 0.001) after adjusting for the body mass index (BMI), and 1 mg/dl increment in HDL-c increased the risk of hypertension by 0.2% [1.002 (1.000–1.002)] after fully adjusting for multiple variables. Furthermore, the BN showed that the importance of age, BMI, fasting plasma glucose (FPG), and TC to the effect of hypertension is 43.3, 27.2, 11.8, and 5.1%, respectively. Conclusion Elevated TC, LDL-c, and non-HDL-c were related to incidence of hypertension in Chinese adult males, whereas triglycerides (TG) was not significantly associated. The relationship between HDL-c and hypertension incidence shifted from no association to a positive correlation after adjusting for the BMI. Moreover, the BN model displayed that age, the BMI, FPG, and TC were strongly associated with hypertension incidence.
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Affiliation(s)
- Siwei Chen
- Department of Cardiovascular Medicine, The Third Hospital of Nanchang, Nanchang, China
| | - Wenke Cheng
- Medical Faculty, University of Leipzig, Leipzig, Germany
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20
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Lu W, Wang Y, Fang Z, Wang H, Zhu J, Zhai Q, Zhao J, Zhang H, Chen W. Bifidobacterium longum CCFM752 prevented hypertension and aortic lesion, improved antioxidative ability, and regulated the gut microbiome in spontaneously hypertensive rats. Food Funct 2022; 13:6373-6386. [PMID: 35615892 DOI: 10.1039/d1fo04446j] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/16/2022]
Abstract
Oxidative stress and gut dysbiosis are important risk factors for hypertension. In this study, the preventive effect of Bifidobacterium longum CCFM752 (CCFM752) on hypertension was evaluated. 5-week-old spontaneously hypertensive rats (SHR) were treated with vehicle or CCFM752 (1.0 × 109 CFU day-1) for 12 weeks. The increase in systolic blood pressure and diastolic blood pressure was significantly prevented by CCFM752 treatment. Simultaneously, CCFM752 prevented aortic fibrosis and hypertrophy and increased aortic endothelial nitric oxide synthase (eNOS) activity. CCFM752 presented an antioxidative effect by inhibiting aortic NADPH oxidase activation and increasing aortic and serum catalase activity, and reducing aortic reactive oxygen species (ROS). The gut dysbiosis of SHR, including the increased Firmicutes/Bacteroidetes ratio, decreased Actinobacteria as well as reduced α-diversity, were restored by CCFM752. CCFM752 also increased the prevalence of Bifidobacterium and Lactobacillus, while decreasing Turicibacter at the genus level. Furthermore, serum metabolomic analysis revealed that CCFM752 up-regulated serum proline and pyridoxamine 5'-phosphate, both of which were negatively correlated with blood pressure. In conclusion, the positive impact of CCFM752 on the gut microbiota may contribute to the antioxidative effect as well as its preventive effect on hypertension.
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Affiliation(s)
- Wenwei Lu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China. .,School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China.,National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, 214122, PR China
| | - Yusheng Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China. .,School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China
| | - Zhifeng Fang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China. .,School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China
| | - Hongchao Wang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China. .,School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China
| | - Jinlin Zhu
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China. .,School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China
| | - Qixiao Zhai
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China. .,School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China
| | - Jianxin Zhao
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China. .,School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China
| | - Hao Zhang
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China. .,School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China.,National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, 214122, PR China.,Wuxi Translational Medicine Research Center and Jiangsu Translational Medicine Research Institute Wuxi Branch, Wuxi 214122, PR China.,(Yangzhou) Institute of Food Biotechnology, Jiangnan University, Yangzhou 225004, PR China
| | - Wei Chen
- State Key Laboratory of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China. .,School of Food Science and Technology, Jiangnan University, Wuxi 214122, PR China.,National Engineering Research Center for Functional Food, Jiangnan University, Wuxi, 214122, PR China
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21
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Comparisons between Bioelectrical Impedance Variables, Functional Tests and Blood Markers Based on BMI in Older Women and Their Association with Phase Angle. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:ijerph19116851. [PMID: 35682434 PMCID: PMC9180009 DOI: 10.3390/ijerph19116851] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Subscribe] [Scholar Register] [Received: 05/02/2022] [Revised: 05/28/2022] [Accepted: 06/02/2022] [Indexed: 11/29/2022]
Abstract
The aim of the present study was to compare electrical bioimpedance variables, blood markers and functional tests based on Body Mass Index (BMI) in older women. Associations between Phase Angle (PhA) with functional tests and blood markers were also analyzed. A total of 46 independent elderly people participated in the study, and they were divided into four groups according to BMI values: Group 1 (G1, BMI < 25 kg/m2); Group 2 (G2, BMI > 25−30 kg/m2); Group 3 (G3, BMI > 30−35 kg/m2); Group 4 (G4, BMI > 35 kg/m2). In addition to the weight and height used to calculate the BMI, the following body composition variables were collected: fat mass (FM), fat-free mass, intracellular water (ICW), extracellular water (ECW), total body water (TBW) and PhA (50 kHz) through InBody S10 equipment. Functional capacity was assessed using the Fullerton battery of tests: arm-curl; chair-stand; 6 min walking test (6MWT); time up-and-go test (TUG); standing on one leg (SOOL) and take 10 foot-lines (10FL). The main results showed differences between groups in the tests: 6MWT, SOOL and 10FL between G1 vs. G3 and G2 vs. G3 (p < 0.05); ACT, AIC and AEC between G1 vs. G4 (p < 0.05); FM among all groups (p < 0.05). Negative correlations were found between PhA and the agility test in G1 (r = −0.848; p = 0.008) and G4 (r = −0.909; p = 0.005); PhA and chair-stand in G3 (r = 0.527; p = 0.044); PhA and forearm flexion in G3 (r = 0.641; p = 0.010) and G4 (r = 0.943; p = 0.001); PhA and 6MWT in G4 (r = 0.771; p = 0.042). This study found that there is a clear trend towards better functional capacities with better parameters of body composition. Although there were no differences between groups in PhA, associations were found between different functional tests with PhA, which reveals the importance of this variable as a marker of health status.
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22
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Gao L, Kong X, Wu W, Feng Z, Zhi H, Zhang Z, Long H, Lei M, Hou J, Wu W, Guo DA. Dissecting the Regulation of Arachidonic Acid Metabolites by Uncaria rhynchophylla (Miq). Miq. in Spontaneously Hypertensive Rats and the Predictive Target sEH in the Anti-Hypertensive Effect Based on Metabolomics and Molecular Docking. Front Pharmacol 2022; 13:909631. [PMID: 35712719 PMCID: PMC9196077 DOI: 10.3389/fphar.2022.909631] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/31/2022] [Accepted: 05/16/2022] [Indexed: 01/26/2023] Open
Abstract
Uncariarhynchophylla (Miq). Miq. (UR), as a traditional Chinese medicine, was employed in treating hypertension as a safe and effective therapy. The pharmacological properties of UR have characteristics of multiple biological targets and multiple functional pathways. Hypertension is related to impaired metabolic homeostasis and is especially associated with the abnormal regulation of arachidonic acid metabolites, the classical cardiovascular active compounds. This study aimed to examine the anti-hypertensive effect of UR extract (URE) and its regulating role in differential metabolic pathways. The results showed that daily administration of URE at a dose of 4 g crude drug/kg orally could exert hypotensive effects on spontaneously hypertensive rats (SHRs) for 8 weeks. Non-targeted metabolomics analysis of the plasma samples suggested that the anti-hypertension effect of URE in SHRs was associated with the reorganization of the perturbed metabolic network, such as the pathways of glycerophospholipid metabolism, linoleic acid metabolism, and arachidonic acid metabolism. For the targeted metabolomics, twenty-eight arachidonic acid metabolites in SHRs were quantitatively analyzed for the first time based on ultra-high performance liquid chromatography-tandem mass spectrometry method after URE administration. URE restored the functions of these cardiovascular active compounds and rebalanced the dynamics of arachidonic acid metabolic flux. Among them, the inhibition of soluble epoxide hydrolase (sEH) enzyme activity and up-regulation of vasodilators epoxyeicosatrienoic acids (EETs) were identified as contributors to the anti-hypertension effect of URE on SHRs, and sEH represented an attractive and promising drug-binding target of URE. With the molecular docking approach, 13 potential anti-hypertension ingredients as well as sEH inhibitors were discovered, which were worthy of further investigation and verification in future studies.
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Affiliation(s)
- Lei Gao
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Xinqin Kong
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
| | - Wenyong Wu
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- School of Chinese Materia Medica, Nanjing University of Chinese Medicine, Nanjing, China
| | - Zijin Feng
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Haijuan Zhi
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Zijia Zhang
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Huali Long
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Min Lei
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
| | - Jinjun Hou
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- *Correspondence: Jinjun Hou, ; Wanying Wu,
| | - Wanying Wu
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
- *Correspondence: Jinjun Hou, ; Wanying Wu,
| | - De-an Guo
- National Engineering Laboratory for TCM Standardization Technology, Shanghai Institute of Materia Medica, Chinese Academy of Sciences, Shanghai, China
- University of Chinese Academy of Sciences, Beijing, China
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23
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Barbosa P, Landes RD, Graw S, Byrum SD, Bennuri S, Delhey L, Randolph C, MacLeod S, Reis A, Børsheim E, Rose S, Carvalho E. Effect of excess weight and insulin resistance on DNA methylation in prepubertal children. Sci Rep 2022; 12:8430. [PMID: 35589784 PMCID: PMC9120504 DOI: 10.1038/s41598-022-12325-y] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 05/03/2022] [Indexed: 11/13/2022] Open
Abstract
Epigenetic mechanisms, such as DNA methylation, regulate gene expression and play a role in the development of insulin resistance. This study evaluates how the BMI z-score (BMIz) and the homeostatic model assessment of insulin resistance (HOMA-IR), alone or in combination, relate to clinical outcomes and DNA methylation patterns in prepubertal children. DNA methylation in peripheral blood mononuclear cells (PBMCs) and clinical outcomes were measured in a cohort of 41 prepubertal children. Children with higher HOMA-IR had higher blood pressure and plasma lactate levels while children with higher BMIz had higher triglycerides levels. Moreover, the DNA methylation analysis demonstrated that a 1 unit increase in the BMIz was associated with a 0.41 (95% CI: 0.29, 0.53) increase in methylation of a CpG near the PPP6R2 gene. This gene is important in the regulation of NF-kB expression. However, there was no strong evidence that the BMIz and the HOMA-IR were synergistically related to any clinical or DNA methylation outcomes. In summary, the results suggest that obesity and insulin resistance may impact metabolic health both independently in prepubertal children. In addition, obesity also has an impact on the DNA methylation of the PPP6R2 gene. This may be a novel underlying starting point for the systemic inflammation associated with obesity and insulin resistance, in this population.
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Affiliation(s)
- Pedro Barbosa
- PhD Programme in Experimental Biology and Biomedicine, Institute for Interdisciplinary Research (IIIUC), University of Coimbra, Coimbra, Portugal.,Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal.,Institute for Interdisciplinary Research (IIIUC), University of Coimbra, Coimbra, Portugal
| | - Reid D Landes
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Stefan Graw
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,Arkansas Children's Research Institute, Little Rock, AR, USA.,Everest Clinical Research Corporation, Markham, ON, Canada
| | - Stephanie D Byrum
- Department of Biochemistry and Molecular Biology, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,Arkansas Children's Research Institute, Little Rock, AR, USA
| | - Sirish Bennuri
- Arkansas Children's Research Institute, Little Rock, AR, USA
| | - Leanna Delhey
- Arkansas Children's Research Institute, Little Rock, AR, USA.,Department of Epidemiology, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Chris Randolph
- Arkansas Children's Research Institute, Little Rock, AR, USA
| | - Stewart MacLeod
- Arkansas Children's Research Institute, Little Rock, AR, USA
| | - Andreia Reis
- Department of Medical Sciences (DCM), Institute for Research in Biomedicine (iBiMED), University of Aveiro, Aveiro, Portugal
| | - Elisabet Børsheim
- Arkansas Children's Research Institute, Little Rock, AR, USA.,Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.,Arkansas Children's Nutrition Center, Little Rock, AR, USA.,Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Shannon Rose
- Arkansas Children's Research Institute, Little Rock, AR, USA.,Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Eugenia Carvalho
- Center for Neuroscience and Cell Biology, University of Coimbra, Coimbra, Portugal. .,Institute for Interdisciplinary Research (IIIUC), University of Coimbra, Coimbra, Portugal. .,Arkansas Children's Research Institute, Little Rock, AR, USA. .,Department of Geriatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA.
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Guo J, Guo X, Sun Y, Li Z, Jia P. Application of omics in hypertension and resistant hypertension. Hypertens Res 2022; 45:775-788. [PMID: 35264783 DOI: 10.1038/s41440-022-00885-5] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Revised: 01/11/2022] [Accepted: 01/29/2022] [Indexed: 12/12/2022]
Abstract
Hypertension is a major modifiable risk factor that affects the global health burden. Despite the availability of multiple antihypertensive drugs, blood pressure is often not optimally controlled. The prevalence of true resistant hypertension in treated hypertensive patients is ~2-20%, and these patients are at higher risk for adverse events and poor clinical outcomes. Therefore, an in-depth dissection of the pathophysiological mechanisms of hypertension and resistant hypertension is needed to identify more effective targets for regulating blood pressure. Omics technologies, such as genomics, transcriptomics, proteomics, metabolomics, and microbiomics, can accurately present the characteristics of organisms at varying molecular levels. Integrative omics can further reveal the network of interactions between molecular levels and provide a complete dynamic view of the organism. In this review, we describe the applications, progress, and challenges of omics technologies in hypertension. Specifically, we discuss the application of omics in resistant hypertension. We believe that omics approaches will produce a better understanding of the pathogenesis of hypertension and resistant hypertension and improve diagnostic and therapeutic strategies, thus increasing rates of blood pressure control and reducing the public health burden of hypertension.
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Affiliation(s)
- Jiuqi Guo
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China
| | - Xiaofan Guo
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China
| | - Yingxian Sun
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China
| | - Zhao Li
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China.
| | - Pengyu Jia
- Department of Cardiology, The First Hospital of China Medical University, Shenyang, 110001, China.
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25
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Tang C, Jiang H, Zhao B, Lin Y, Lin S, Chen T, Su Y, Zhang Y, Zhou L, Li L, Lin J, Lu Z, Wang Y, Zhao Z, Liu L, Wang Y, Zhang J, Shen H. The association between bilirubin and hypertension among a Chinese ageing cohort: a prospective follow-up study. J Transl Med 2022; 20:108. [PMID: 35246141 PMCID: PMC8895624 DOI: 10.1186/s12967-022-03309-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2021] [Accepted: 02/14/2022] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Hypertension is highly prevalent and associated with the elevated risks of cardiovascular diseases, dementia, and physical disabilities among adults. Although the correlation between bilirubin and hypertension has been reported, the observation in quinquagenarian population is scarce. We aimed to examine bilirubin-hypertension association in Guankou Ageing Cohort Study. METHODS Participants ≥ 55 years were recruited and their questionnaires and physical examination data were collected. Kaplan-Meier survival analysis and Cox proportional hazards regression were implemented to assess the hypertension risk. The non-liner dose-response relationships of bilirubin-hypertension were determined by restricted cubic spline (RCS) models. Receiver operating characteristic (ROC) curves and multiple factors analysis (MFA) were performed to evaluate the predictive abilities. RESULTS 1881 eligible participants (male 43.75%, female 56.25%) with the median age of 61.00 (59.00-66.00) were included. The hazard ratio (HR, 95% CI) of serum total bilirubin (STB) and unconjugated bilirubin (UCB) were 1.03 (1.01-1.05) and 1.05 (1.03-1.07), while conjugated bilirubin (CB) showed a weak protective effect with the HR of 0.96 (0.92-0.99), and the associations remained significant in all models. RCS analyses further indicated the similar bidirectional effects of STB and UCB with the cut-off of 12.17 μmol/L and 8.59 μmol/L, while CB exhibited inverse bidirectional dose-response relationship with a cut-off of 3.47 μmol/L. ROC curves and MFA showed baseline STB combined with age, BMI, and waist circumference could well discriminate the low and high of hypertension risk. CONCLUSIONS Our findings suggested the higher levels of total and unconjugated bilirubin were hazardous factors of hypertension, while an inverse effect presented when more bilirubin was conjugated.
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Affiliation(s)
- Chen Tang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China
| | - Hanxiang Jiang
- Xiamen Guankou Hospital, No. 270 Jingshan Road, Jimei District, Xiamen, 361023, Fujian, People's Republic of China
| | - Bin Zhao
- Clinical Medical Laboratory, Xiang'an Hospital of Xiamen University, No. 2000, East Xiang'an Road, Xiamen, 361102, Fujian, People's Republic of China
| | - Yi Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China
| | - Shengnan Lin
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China
| | - Tianmu Chen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China
| | - Yanhua Su
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China
| | - Yiqin Zhang
- Department of Nephrology, The Second Affiliated Hospital of Xiamen Medical College, No. 566 Shengguang Road, Jimei District, Xiamen, 361021, Fujian, People's Republic of China
| | - Lina Zhou
- Department of Nephrology, The Second Affiliated Hospital of Xiamen Medical College, No. 566 Shengguang Road, Jimei District, Xiamen, 361021, Fujian, People's Republic of China
| | - Lianmeng Li
- Xiamen Guankou Hospital, No. 270 Jingshan Road, Jimei District, Xiamen, 361023, Fujian, People's Republic of China
| | - Jincheng Lin
- Xiamen Guankou Hospital, No. 270 Jingshan Road, Jimei District, Xiamen, 361023, Fujian, People's Republic of China
| | - Zhonghua Lu
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China
| | - Yao Wang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China
| | - Zeyu Zhao
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China
| | - Longjian Liu
- Department of Epidemiology and Biostatistics, Dornsife School of Public Health, Drexel University, 3141 Chestnut Street, Philadelphia, PA, USA
| | - Yuxin Wang
- Department of Nephrology, The Second Affiliated Hospital of Xiamen Medical College, No. 566 Shengguang Road, Jimei District, Xiamen, 361021, Fujian, People's Republic of China.
| | - Jie Zhang
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China.
| | - Heqing Shen
- State Key Laboratory of Molecular Vaccinology and Molecular Diagnotics, School of Public Health, Xiamen University, No. 4221-117 South Xiang'an Road, Xiang'an District, Xiamen, 361102, Fujian, People's Republic of China.
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Batista MA, de Lima Teixeira dos Santos AVT, do Nascimento AL, Moreira LF, Souza IRS, da Silva HR, Pereira ACM, da Silva Hage-Melim LI, Carvalho JCT. Potential of the Compounds from Bixa orellana Purified Annatto Oil and Its Granules (Chronic ®) against Dyslipidemia and Inflammatory Diseases: In Silico Studies with Geranylgeraniol and Tocotrienols. MOLECULES (BASEL, SWITZERLAND) 2022; 27:molecules27051584. [PMID: 35268686 PMCID: PMC8911567 DOI: 10.3390/molecules27051584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/16/2022] [Revised: 02/03/2022] [Accepted: 02/10/2022] [Indexed: 11/16/2022]
Abstract
Some significant compounds present in annatto are geranylgeraniol and tocotrienols. These compounds have beneficial effects against hyperlipidemia and chronic diseases, where oxidative stress and inflammation are present, but the exact mechanism of action of such activities is still a subject of research. This study aimed to evaluate possible mechanisms of action that could be underlying the activities of these molecules. For this, in silico approaches such as ligand topology (PASS and SEA servers) and molecular docking with the software GOLD were used. Additionally, we screened some pharmacokinetic and toxicological parameters using the servers PreADMET, SwissADME, and ProTox-II. The results corroborate the antidyslipidemia and anti-inflammatory activities of geranylgeraniol and tocotrienols. Notably, some new mechanisms of action were predicted to be potentially underlying the activities of these compounds, including inhibition of squalene monooxygenase, lanosterol synthase, and phospholipase A2. These results give new insight into new mechanisms of action involved in these molecules from annatto and Chronic®.
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Affiliation(s)
- Mateus Alves Batista
- Laboratory of Pharmaceutical and Medicinal Chemistry (PharMedChem), Federal University of Amapá, Amapá, Macapá 68902-280, Brazil; (M.A.B.); (L.I.d.S.H.-M.)
| | - Abrahão Victor Tavares de Lima Teixeira dos Santos
- Laboratory of Drugs Research, Biology and Healthy Sciences Department, Pharmacy Faculty, Federal University of Amapá, Rod. JK, km 02, Amapá, Macapá 68902-280, Brazil; (A.V.T.d.L.T.d.S.); (A.L.d.N.); (L.F.M.); (H.R.d.S.)
| | - Aline Lopes do Nascimento
- Laboratory of Drugs Research, Biology and Healthy Sciences Department, Pharmacy Faculty, Federal University of Amapá, Rod. JK, km 02, Amapá, Macapá 68902-280, Brazil; (A.V.T.d.L.T.d.S.); (A.L.d.N.); (L.F.M.); (H.R.d.S.)
| | - Luiz Fernando Moreira
- Laboratory of Drugs Research, Biology and Healthy Sciences Department, Pharmacy Faculty, Federal University of Amapá, Rod. JK, km 02, Amapá, Macapá 68902-280, Brazil; (A.V.T.d.L.T.d.S.); (A.L.d.N.); (L.F.M.); (H.R.d.S.)
| | - Indira Ramos Senna Souza
- Diamantina Chapada Regional Hospital, Avenida Francisco Costa, 350-468, Vasco Filho, Bahia, Seabra 46900-000, Brazil;
| | - Heitor Ribeiro da Silva
- Laboratory of Drugs Research, Biology and Healthy Sciences Department, Pharmacy Faculty, Federal University of Amapá, Rod. JK, km 02, Amapá, Macapá 68902-280, Brazil; (A.V.T.d.L.T.d.S.); (A.L.d.N.); (L.F.M.); (H.R.d.S.)
| | - Arlindo César Matias Pereira
- Faculty of Pharmaceutical Sciences of Ribeirão Preto, University of São Paulo (USP), São Paulo, Ribeirão Preto 05508-000, Brazil;
| | - Lorane Izabel da Silva Hage-Melim
- Laboratory of Pharmaceutical and Medicinal Chemistry (PharMedChem), Federal University of Amapá, Amapá, Macapá 68902-280, Brazil; (M.A.B.); (L.I.d.S.H.-M.)
| | - José Carlos Tavares Carvalho
- Laboratory of Drugs Research, Biology and Healthy Sciences Department, Pharmacy Faculty, Federal University of Amapá, Rod. JK, km 02, Amapá, Macapá 68902-280, Brazil; (A.V.T.d.L.T.d.S.); (A.L.d.N.); (L.F.M.); (H.R.d.S.)
- Correspondence:
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Jeong J, Kim M. Awareness and Related Factors of Dyslipidemia in Menopausal Women in Korea. Healthcare (Basel) 2022; 10:112. [PMID: 35052276 PMCID: PMC8775859 DOI: 10.3390/healthcare10010112] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/25/2021] [Revised: 12/30/2021] [Accepted: 01/04/2022] [Indexed: 01/04/2023] Open
Abstract
This study aims to identify the awareness of dyslipidemia and the factors affecting it in menopausal women to prevent cardiovascular disease, a major cause of female mortality. This study used data from 2019, the first year of the eighth (2019-2021) Korea National Health and Nutrition Examination Survey conducted by the Korea Disease Control and Prevention Agency. A total of 975 women fulfilled the selection criteria. Dyslipidemia awareness and the related factors were analyzed with SPSS 26.0 complex sample software. Only 27.3% of menopausal women over age 40 with dyslipidemia were aware of the condition. Factors affecting their awareness level were age, subjective health awareness, body mass index, and underlying disease. The prevalence of dyslipidemia in menopausal women was high, but their awareness was significantly low. This finding confirms the need for measures to improve dyslipidemia awareness to prevent cardiovascular diseases in menopausal women.
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Affiliation(s)
- Jeonghee Jeong
- Department of Nursing Science, Kyungsung University, Busan 48434, Korea;
| | - Mijin Kim
- Department of Nursing, Daegu Haany University, Gyeongsan-si 38610, Korea
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Xie H, Zhuang Q, Mu J, Sun J, Wei P, Zhao X, Chen Y, Dong J, Chen C, Wei L, Yin Y, Yang S, Shen C. The relationship between lipid risk score and new-onset hypertension in a prospective cohort study. Front Endocrinol (Lausanne) 2022; 13:916951. [PMID: 36246874 PMCID: PMC9555054 DOI: 10.3389/fendo.2022.916951] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2022] [Accepted: 09/08/2022] [Indexed: 11/13/2022] Open
Abstract
BACKGROUND Dyslipidemia and hypertension are both important risk factors for atherosclerotic cardiovascular diseases. However, the relationship between dyslipidemia and incident hypertension remains to be elucidated comprehensively. The main purpose of this study was to construct the lipid risk score to explore the risk prediction effect of integrated lipid indices on new-onset hypertension. METHODS This prospective cohort study with 2116 non-hypertensive subjects was conducted from 2009 to 2020. New hypertension events during the follow-up period were recorded and verified. The lipid risk score was calculated by summing coded total cholesterol, triglyceride, low-density lipoprotein cholesterol, and high-density lipoprotein cholesterol weighted with corresponding effect sizes. Cox regression analysis was used to estimate the association between the lipid risk score or lipid indices and incident hypertension in the subgroup of age (< 55 and≥ 55 years at baseline). RESULTS After a median of 10.75-year follow-up, 637 incident hypertension cases were identified. The restricted cubic spline showed that the lipid risk score had a positive linear correlation with hypertension (P< 0.001). Among people< 55 years, with every increase of 0.94 in lipid risk score, the risk of hypertension increased by 37% (adjusted HR [95%CI]: 1.369 [1.164-1.610]). This association was not modified by overweight or obesity. CONCLUSIONS The integrated lipid risk score, independent of traditional risk factors, has a significantly predictive effect on hypertension in people younger than 55 years. This finding may aid in identifying high-risk individuals for hypertension, as well as facilitating early intervention and management to reduce adverse cardiovascular events. Comprehensive lipid management should be attached importance in the prevention and control of hypertension.
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Affiliation(s)
- Hankun Xie
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Qian Zhuang
- Department of Cardiology, Affiliated Yixing People’s Hospital of Jiangsu University, People’s Hospital of Yixing City, Yixing, China
| | - Jialing Mu
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Junxiang Sun
- Department of Cardiology, Affiliated Yixing People’s Hospital of Jiangsu University, People’s Hospital of Yixing City, Yixing, China
| | - Pengfei Wei
- Department of Cardiology, Affiliated Yixing People’s Hospital of Jiangsu University, People’s Hospital of Yixing City, Yixing, China
| | - Xianghai Zhao
- Department of Cardiology, Affiliated Yixing People’s Hospital of Jiangsu University, People’s Hospital of Yixing City, Yixing, China
| | - Yanchun Chen
- Department of Cardiology, Affiliated Yixing People’s Hospital of Jiangsu University, People’s Hospital of Yixing City, Yixing, China
| | - Jiayi Dong
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Changying Chen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Lai Wei
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
| | - Yunjie Yin
- Department of Cardiology, Affiliated Yixing People’s Hospital of Jiangsu University, People’s Hospital of Yixing City, Yixing, China
| | - Song Yang
- Department of Cardiology, Affiliated Yixing People’s Hospital of Jiangsu University, People’s Hospital of Yixing City, Yixing, China
- *Correspondence: Chong Shen, ; Song Yang,
| | - Chong Shen
- Department of Epidemiology, School of Public Health, Nanjing Medical University, Nanjing, China
- *Correspondence: Chong Shen, ; Song Yang,
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Huang CC, Huang YL, Lin CH, Chen JW. Plasma metabolomic profiles associated with hypertension and blood pressure in response to thiazide diuretics. Hypertens Res 2021; 45:464-473. [PMID: 34952949 DOI: 10.1038/s41440-021-00825-9] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 11/03/2021] [Accepted: 11/08/2021] [Indexed: 11/09/2022]
Abstract
This study aimed to identify the metabolomic alterations associated with hypertension (HTN) and the response of blood pressure (BP) to thiazide diuretics. A total of 50 participants previously untreated for HTN were prospectively recruited. After a 2-week lifestyle adjustment, 30 participants with systolic BP ≥ 140 mmHg and/or diastolic BP ≥ 90 mmHg were classified into the HTN group and prescribed hydrochlorothiazide (HCTZ) at 50 mg per day for 2 weeks. The remaining 20 participants, who had relatively normal BP, were assigned to the normotension group. Metabolomic profiles related to the response of BP to thiazide diuretics were analyzed. A total of 73 differential metabolites were found to be associated with HTN, and 27 metabolites were significantly changed upon HCTZ treatment (HCTZ-sensitive metabolites). Among the identified metabolites, 7 (aspartate, histidine, C5-DC, C5-M-DC, C14:1, phosphatidylcholine ae C34:1, and phosphatidylcholine ae C34:3) were positively associated with HTN and decreased in abundance upon HCTZ treatment (HCTZ-reduced/HTN-associated metabolites). Moreover, multivariate analysis of 20 metabolites whose baseline levels were associated with the response of BP revealed that aspartate, glutamate, lysophosphatidylcholine C16:0, lysophosphatidylcholine C20:3, and sphingomyelin C24:1 were independently related to systolic BP reduction, and lysophosphatidylcholine C20:3 was independently associated with diastolic BP reduction. In conclusion, we identified 5 metabolites independently related to BP changes with HCTZ treatment. An advanced biomarker profile of thiazide-induced metabolomic changes may provide a clue with which to further explore the complex and mixed effects of thiazide treatment in a clinical setting.
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Affiliation(s)
- Chin-Chou Huang
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan. .,School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Institute of Pharmacology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Yi-Long Huang
- Department of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Aging and Health Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan
| | - Chao-Hsiung Lin
- Department of Life Sciences and Institute of Genome Sciences, National Yang Ming Chiao Tung University, Taipei, Taiwan. .,Aging and Health Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.
| | - Jaw-Wen Chen
- Division of Cardiology, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan.,Institute of Pharmacology, School of Medicine, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Cardiovascular Research Center, National Yang Ming Chiao Tung University, Taipei, Taiwan.,Healthcare and Services Center, Taipei Veterans General Hospital, Taipei, Taiwan
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Wang N, Ru Y, Yang Z, Sun C, Li S, Min Y, Zhao X, Lu Y, Hsing AW, Zhu S. Metabolomic Profiles of Plasma Retinol-Associated Dyslipidemia in Men and Women. Front Nutr 2021; 8:740435. [PMID: 34869520 PMCID: PMC8635783 DOI: 10.3389/fnut.2021.740435] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Accepted: 10/07/2021] [Indexed: 12/29/2022] Open
Abstract
Background and Aims: Studies of both animals and humans show that a high intake of vitamin A is associated with a lower risk of dyslipidemia. However, an association of plasma retinol levels with dyslipidemia is unclear. Therefore, the aim of this study is to investigate an association between plasma retinol and dyslipidemia and to identify related metabolites and pathways in the general population. Methods: We included 250 participants aged 20-80 years from the Wellness Living Laboratory (WELL) China cohort. Associations between plasma retinol levels and dyslipidemia were analyzed using adjusted logistic models. Related metabolites were identified using ANCOVA, adjusted for the false discovery rate (FDR) and used for pathway analyses. Because there are sex differences in plasma retinol levels, all analyses were conducted separately by sex. Results: Plasma retinol was significantly higher in men than in women. A positive association between plasma retinol and dyslipidemia was found in both sexes. In men, the 2nd and 3rd tertiles showed significantly higher proportions of dyslipidemia than the 1st tertile (1st tertile vs. 2nd tertile: p = 0.026; 1st tertile vs. 3rd tertile: p = 0.003). In women, the 3rd tertile showed a significantly higher proportion of dyslipidemia than the 1st and 2nd tertile (3rd tertile vs. 1st tertile: p = 0.002, 3rd tertile vs. 2nd tertile: p = 0.002). Overall, 75 and 30 metabolites were significantly associated with retinol levels in men and women, respectively. According to these metabolites, lipid metabolic pathways, including glycerophospholipid, arachidonic acid, linoleic acid, alpha-linolenic acid, and glycosylphosphatidylinositol (GPI), as well as steroid hormone biosynthesis pathways were found to overlap across the sexes. These pathways showed that elevated retinol levels might be associated with hormone metabolism and inflammation status. Conclusions: We found a positive association between plasma retinol levels and dyslipidemia. Related metabolomic profiles and interrupted pathways showed that such an increase might be associated with steroid hormone synthesis and inflammation. In addition, large, population-based longitudinal studies and intervention studies are needed to confirm the role of retinol in lipid metabolism and the prevention of cardiovascular disease (CVD).
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Affiliation(s)
- Ninglin Wang
- Chronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yuan Ru
- Chronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Zhiying Yang
- Chronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Changxuan Sun
- Chronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Shanshan Li
- Chronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Yan Min
- Stanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Stanford, CA, United States
| | - Xueyin Zhao
- Chronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
| | - Ying Lu
- Department of Biomedical Data Sciences, Stanford School of Medicine, Stanford, CA, United States
| | - Ann W. Hsing
- Stanford Prevention Research Center, Department of Medicine, Stanford School of Medicine, Stanford University, Stanford, CA, United States
- Department of Epidemiology and Population Health, Stanford School of Medicine, Stanford, CA, United States
- Stanford Cancer Institute, School of Medicine, Stanford University, Stanford, CA, United States
| | - Shankuan Zhu
- Chronic Disease Research Institute, The Children's Hospital and National Clinical Research Center for Child Health, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
- Department of Nutrition and Food Hygiene, School of Public Health, School of Medicine, Zhejiang University, Hangzhou, China
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Onuh JO, Qiu H. Metabolic Profiling and Metabolites Fingerprints in Human Hypertension: Discovery and Potential. Metabolites 2021; 11:687. [PMID: 34677402 PMCID: PMC8539280 DOI: 10.3390/metabo11100687] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/30/2021] [Revised: 09/28/2021] [Accepted: 10/05/2021] [Indexed: 12/12/2022] Open
Abstract
Early detection of pathogenesis through biomarkers holds the key to controlling hypertension and preventing cardiovascular complications. Metabolomics profiling acts as a potent and high throughput tool offering new insights on disease pathogenesis and potential in the early diagnosis of clinical hypertension with a tremendous translational promise. This review summarizes the latest progress of metabolomics and metabolites fingerprints and mainly discusses the current trends in the application in clinical hypertension. We also discussed the associated mechanisms and pathways involved in hypertension's pathogenesis and explored related research challenges and future perspectives. The information will improve our understanding of the development of hypertension and inspire the clinical application of metabolomics in hypertension and its associated cardiovascular complications.
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Affiliation(s)
| | - Hongyu Qiu
- Center for Molecular and Translational Medicine, Institute of Biomedical Sciences, Georgia State University, Atlanta, GA 30303, USA;
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Gao H, Zhu BB, Huang K, Zhu YD, Yan SQ, Wu XY, Han Y, Sheng J, Cao H, Zhu P, Tao FB. Effects of single and combined gestational phthalate exposure on blood pressure, blood glucose and gestational weight gain: A longitudinal analysis. ENVIRONMENT INTERNATIONAL 2021; 155:106677. [PMID: 34126297 DOI: 10.1016/j.envint.2021.106677] [Citation(s) in RCA: 15] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/13/2020] [Revised: 05/24/2021] [Accepted: 05/26/2021] [Indexed: 05/12/2023]
Abstract
Few studies have investigated the association of gestational exposure to phthalate with metabolic risk and have reached inconsistent conclusions. Based on the Ma'anshan Birth Cohort, 3273 women were included in the present study. All participants provided up to three urine samples for 7 phthalate metabolite measurements. The hazard index (HI) was used to evaluate the cumulative risk of multiple phthalate coexposures. The outcomes of interest included hypertensive disorders of pregnancy (HDOP), gestational diabetes mellitus (GDM), and gestational weight gain (GWG). The incidences of HDOP, GDM, and excessive GWG were 5.93%, 13.09%, and 28.95%, respectively. Exposure to a single phthalate metabolite or a specific diester during the first trimester of pregnancy elevated blood pressure (BP) and fasting plasma glucose (FPG) in the third trimester and body weight gain throughout pregnancy. However, inverse relationships were revealed for some phthalate metabolites, which were inconsistent with the results of their diesters. The HI value during the first trimester was positively associated with subsequent BP, FPG, and GWG. In addition, HI during the first trimester increased the risks of GDM [odds ratio (OR) = 1.34, 95% confidence intervals (CIs) = 1.02-1.75)] and excessive GWG (OR = 1.76, 95% CIs = 1.41-2.19) in a linear manner thereafter. Notably, phthalates might directly increase maternal blood glucose and pressure, and these changes were secondary effects of the obesiogenic effects of certain phthalates. In conclusion, exposure to single and multiple phthalates during the first trimester of pregnancy increased the risks of maternal metabolic syndrome components. However, the conflicting findings between phthalates and their metabolites need to be interpreted carefully.
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Affiliation(s)
- Hui Gao
- MOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Department of Pediatrics, The First Affiliated Hospital of Anhui Medical University, No. 218 Jixi Road, Hefei 230022, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Bei-Bei Zhu
- MOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei 230032, Anhui, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Kun Huang
- MOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yuan-Duo Zhu
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Shuang-Qin Yan
- Ma'anshan Maternal and Child Healthcare (MCH) Center, Ma'anshan 243011, China
| | - Xiao-Yan Wu
- MOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Yan Han
- Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Jie Sheng
- MOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Hui Cao
- Ma'anshan Maternal and Child Healthcare (MCH) Center, Ma'anshan 243011, China
| | - Peng Zhu
- MOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China
| | - Fang-Biao Tao
- MOE Key Laboratory of Population Health Across Life Cycle (Anhui Medical University), No. 81 Meishan Road, Hefei 230032, Anhui, China; NHC Key Laboratory of Study on Abnormal Gametes and Reproductive Tract, No. 81 Meishan Road, Hefei 230032, Anhui, China; Anhui Provincial Key Laboratory of Population Health and Aristogenics, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China; Department of Maternal, Child and Adolescent Health, School of Public Health, Anhui Medical University, No. 81 Meishan Road, Hefei 230032, Anhui, China.
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Metabolomics Signature of Plasma Renin Activity and Linkage with Blood Pressure Response to Beta Blockers and Thiazide Diuretics in Hypertensive European American Patients. Metabolites 2021; 11:metabo11090645. [PMID: 34564461 PMCID: PMC8466669 DOI: 10.3390/metabo11090645] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2021] [Revised: 09/13/2021] [Accepted: 09/14/2021] [Indexed: 01/13/2023] Open
Abstract
Plasma renin activity (PRA) is a predictive biomarker of blood pressure (BP) response to antihypertensives in European–American hypertensive patients. We aimed to identify the metabolic signatures of baseline PRA and the linkages with BP response to β-blockers and thiazides. Using data from the Pharmacogenomic Evaluation of Antihypertensive Responses-2 (PEAR-2) trial, multivariable linear regression adjusting for age, sex and baseline systolic-BP (SBP) was performed on European–American individuals treated with metoprolol (n = 198) and chlorthalidone (n = 181), to test associations between 856 metabolites and baseline PRA. Metabolites with a false discovery rate (FDR) < 0.05 or p < 0.01 were tested for replication in 463 European–American individuals treated with atenolol or hydrochlorothiazide. Replicated metabolites were then tested for validation based on the directionality of association with BP response. Sixty-three metabolites were associated with baseline PRA, of which nine, including six lipids, were replicated. Of those replicated, two metabolites associated with higher baseline PRA were validated: caprate was associated with greater metoprolol SBP response (β = −1.7 ± 0.6, p = 0.006) and sphingosine-1-phosphate was associated with reduced hydrochlorothiazide SBP response (β = 7.6 ± 2.8, p = 0.007). These metabolites are clustered with metabolites involved in sphingolipid, phospholipid, and purine metabolic pathways. The identified metabolic signatures provide insights into the mechanisms underlying BP response.
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Identification of Potential Metabolic Markers of Hypertension in Chinese Children. Int J Hypertens 2021; 2021:6691734. [PMID: 34484817 PMCID: PMC8410451 DOI: 10.1155/2021/6691734] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/20/2020] [Revised: 07/14/2021] [Accepted: 08/16/2021] [Indexed: 11/17/2022] Open
Abstract
Background Studies in adults have shown that several metabolites across multiple pathways are strongly associated with hypertension. However, as yet, to our knowledge, no study has investigated such association in childhood. We, therefore, compared the serum metabolite profile of children with normal and elevated blood pressure (BP) to identify potential metabolic markers and pathways that could be useful for the assessment of pediatric hypertension. Methods The study included 26 hypertensive children (age range, 6-11 years) and 26 age- and sex-matched ones with normal BP, who were recruited from the baseline survey of the Huantai Childhood Cardiovascular Health Cohort Study. Ultrahigh-performance liquid chromatography-quadrupole time-of-flight-mass spectrometry was performed to assess the serum metabolite profile. Logistic regression analysis was used to select significant metabolites associated with hypertension after adjustment for body mass index, waist circumference, and lipid profile. Kyoto Encyclopedia of Genes and Genomes (KEGG) and MetaboAnalyst were utilized to search for the potential pathways of metabolites. Results A total of 45 and 34 metabolites were preliminarily screened in positive and negative modes, respectively (variable importance in the projection (VIP) > 1.0 and P < 0.05). After adjustment for the false discovery rate, 7 and 1 differential metabolites in the positive and negative modes, respectively, remained significant (VIP > 1.0 and q < 0.05). These metabolites were mainly involved in amino acid metabolism and glycerophospholipid metabolism. Among these, two significant metabolites including ethanolamine and 2-methyl-3-hydroxy-5-formylpyridine-4-carboxylate displayed an area under the curve value of 0.820 (95% confidence interval, 0.688-0.951), with a sensitivity of 0.846 and a specificity of 0.769. Conclusion The untargeted metabolomics approach effectively identified the differential serum metabolite profile in children with and without hypertension. Notably, two metabolites including ethanolamine and 2-methyl-3-hydroxy-5-formylpyridine-4-carboxylate exhibited a good discriminative ability to identify children with hypertension, providing new insights into potential mechanisms of pediatric hypertension.
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Bawadi H, Kassab M, Zanabili AH, Tayyem R. Identification of Adolescents with Adiposities and Elevated Blood Pressure and Implementation of Preventive Measures Warrants the Use of Multiple Clinical Assessment Tools. J Pers Med 2021; 11:873. [PMID: 34575650 PMCID: PMC8470353 DOI: 10.3390/jpm11090873] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2021] [Revised: 08/09/2021] [Accepted: 08/23/2021] [Indexed: 01/23/2023] Open
Abstract
The burden of abdominal adiposity has increased globally, which is recognized as a key condition for the development of obesity-related disorders among youth, including type 2 diabetes, cardiovascular disease, and hypertension. High blood pressure (BP) and cardiovascular diseases increase the rates of premature mortality and morbidity substantially. Aims: to investigate the relation between abdominal adiposity and elevated BP among adolescent males in Jordan. Methods: Nationally representative sample of male adolescents was selected using multi-cluster sampling technique. Study sample included 1035 adolescent males aged 12 to 17 years. Multiple indicators were used to assess adiposity including waist circumference (WC) and total body fat (TF), truncal fat (TrF), and visceral fat (VF). Systolic blood pressure was measured to assess hypertension. Results: After adjusting for age, smoking status, and physical activity, the odds of having stage two hypertension increased 6, 7, and 8 times for adolescents who were on 90th percentile or above for Trf, VF, and WC, respectively. Conclusion: Elevated BP was significantly associated with total and abdominal adiposity among adolescent males in Jordan. Use of multiple clinical assessment tools is essential to assess abdominal obesity among adolescents.
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Affiliation(s)
- Hiba Bawadi
- Department of Health Sciences, Qatar University, Doha P.O. Box 2713, Qatar;
| | - Manal Kassab
- Faculty of Nursing, Jordan University of Science & Technology (JUST), P.O. Box 3030, Irbid 22110, Jordan;
| | - Abdel Hadi Zanabili
- Department of Nutrition and Food Technology, Jordan University of Science and Technology, P.O. Box 3030, Irbid 22110, Jordan;
| | - Reema Tayyem
- Department of Health Sciences, Qatar University, Doha P.O. Box 2713, Qatar;
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Identification of potential serum metabolic biomarkers for patient with keratoconus using untargeted metabolomics approach. Exp Eye Res 2021; 211:108734. [PMID: 34428458 DOI: 10.1016/j.exer.2021.108734] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 06/01/2021] [Accepted: 08/17/2021] [Indexed: 11/22/2022]
Abstract
This study aimed to investigate the metabolite differences between patients with keratoconus and control subjects and identify potential serum biomarkers for keratoconus using a non-targeted metabolomics approach. Venous blood samples were obtained from patients with keratoconus (n = 20) as well as from age-, gender- and race-matched control subjects (n = 20). Metabolites extracted from serum were separated and analyzed by liquid chromatography/quadrupole time-of-flight mass spectrometer. Processing of raw data and analysis of the data files was performed using Agilent Mass Hunter Qualitative software. The identified metabolites were subjected to a principal component and hierarchical cluster analysis. Appropriate statistical tests were used to analyze the metabolomic profiling data. Together, the analysis revealed that the dehydroepiandrosterone sulfate from the steroidal hormone synthesis pathway was significantly upregulated in patients with keratoconus (p < 0.05). Also, a combination of eicosanoids from the arachidonic acid pathway, mainly prostaglandin F2α, prostaglandin A2, 16,16-dimethyl prostaglandin E2, and 5-hydroxyeicosatetraenoic acid were collectively up-regulated as a group in keratoconus patients (p < 0.05). On the other hand, glycerophospholipid PS(17:2(9Z,12Z)/20:4(5Z,8Z,11Z,14Z)) was found to be significantly upregulated in the metabolomics profiles of control subjects (p < 0.05). The differently regulated metabolites provide insights into the pathophysiology of keratoconus and could potentially be used as biomarkers for keratoconus to aid in screening for individuals at risk hence, enabling early diagnosis and timely monitoring of disease.
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Zhuang Z, Yu C, Guo Y, Bian Z, Yang L, Millwood IY, Walters RG, Chen Y, Xu Q, Zou M, Chen J, Chen Z, Lv J, Huang T, Li L. Metabolic Signatures of Genetically Elevated Vitamin D Among Chinese: Observational and Mendelian Randomization Study. J Clin Endocrinol Metab 2021; 106:e3249-e3260. [PMID: 33596318 PMCID: PMC7612493 DOI: 10.1210/clinem/dgab097] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/03/2020] [Indexed: 11/19/2022]
Abstract
CONTEXT Observational studies have suggested that higher circulating 25-hydroxyvitamin D [25(OH)D] levels are associated with favorable serum lipids and related metabolites. However, whether such observations reflect causality remains unclear. OBJECTIVE We aimed to investigate the causal effect of elevated 25(OH)D with a detailed systemic metabolite profile in Chinese adults. METHODS A total of 225 lipid and other metabolites were quantified in 4662 individuals in the China Kadoorie Biobank. Instrumental variable analyses were performed to test the causal associations of plasma 25(OH)D with lipids and metabolites. RESULTS Higher plasma 25(OH)D was related to favorable lipid profiles in observational analyses. The genetic risk score was robustly correlated with observed 25(OH)D (beta[SE] = 3.54 [0.32]; P < 1 × 10-5, F-statistic = 122.3) and explained 8.4% of the variation in 25(OH)D in the Chinese population. For all individual metabolites, the causal estimates were not significant at the threshold P < 5 × 10-4 (multiple testing corrected). However, a Mendelian randomization (MR) estimate showed that per 1-SD increase in genetically determined 25(OH)D was suggestive of association with decreased levels of cholesterol, lipoprotein particles, and phospholipids within very small very low-density lipoprotein (VLDL) and intermediate-density lipoprotein (IDL) (P ≤ 0.05, nominal significance). For amino acids, fatty acids, ketone bodies, glycoprotein acetyls, fatty acids, and other traits, we did not observe any significant causal association. CONCLUSIONS The MR analysis of metabolic data based a population-based cohort suggested a potential causal association of plasma 25(OH)D with cholesterol, lipoprotein particle, phospholipid concentrations, and total lipids within very small VLDL and IDL. Our findings highlight a long-term effect of 25(OH)D levels in maintaining healthy lipid metabolism.
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Affiliation(s)
- Zhenhuang Zhuang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Canqing Yu
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Yu Guo
- Chinese Academy of Medical Sciences, Beijing, China
| | - Zheng Bian
- Chinese Academy of Medical Sciences, Beijing, China
| | - Ling Yang
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Iona Y. Millwood
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Robin G. Walters
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Yiping Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Qinai Xu
- NCDs Prevention and Control Department, Nangang CDC, Harbin, China
| | | | - Junshi Chen
- China National Center for Food Safety Risk Assessment, Beijing, China
| | - Zhengming Chen
- Clinical Trial Service Unit & Epidemiological Studies Unit (CTSU), Nuffield Department of Population Health, University of Oxford, United Kingdom
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
- Peking University Institute of Environmental Medicine, Beijing, China
- Corresponding authors: Liming Li, MD, MPH, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China, Phone: 86-10-82801528, ; Jun Lv, PhD, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China, Phone: 86-10-82801528, ; Tao Huang, PhD, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China, Phone: 86-10-82801528,
| | - Tao Huang
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Key Laboratory of Molecular Cardiovascular Sciences (Peking University), Ministry of Education, Beijing, China
- Corresponding authors: Liming Li, MD, MPH, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China, Phone: 86-10-82801528, ; Jun Lv, PhD, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China, Phone: 86-10-82801528, ; Tao Huang, PhD, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China, Phone: 86-10-82801528,
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
- Corresponding authors: Liming Li, MD, MPH, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China, Phone: 86-10-82801528, ; Jun Lv, PhD, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China, Phone: 86-10-82801528, ; Tao Huang, PhD, Department of Epidemiology and Biostatistics, Peking University Health Science Center, 38 Xueyuan Road, Beijing 100191, China, Phone: 86-10-82801528,
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Chen S, Wu Q, Zhu L, Zong G, Li H, Zheng H, Zeng R, Lin X, Sun L. Plasma glycerophospholipid profile, erythrocyte n-3 PUFAs, and metabolic syndrome incidence: a prospective study in Chinese men and women. Am J Clin Nutr 2021; 114:143-153. [PMID: 33829226 DOI: 10.1093/ajcn/nqab050] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 02/09/2021] [Indexed: 11/14/2022] Open
Abstract
BACKGROUND Animal studies have highlighted critical roles of glycerophospholipid (GP) metabolism in various metabolic syndrome (MetS)-related features such as dyslipidemia, obesity, and insulin resistance. However, human prospective studies of associations between circulating GPs and risks of MetS are scarce. OBJECTIVES We aimed to investigate whether GPs are associated with incidence of MetS in a well-established cohort. METHODS A total of 1243 community-dwelling Chinese aged 50-70 y without MetS at baseline and followed up for 6 y were included in current analyses. A total of 145 plasma GPs were quantified by high-throughput targeted lipidomics. MetS was defined using the updated National Cholesterol Education Program Adult Treatment Panel III criteria for Asian Americans. RESULTS After 6 y, 429 participants developed MetS. Eleven GPs, especially those with long-chain polyunsaturated fatty acids (LCPUFAs) or very-long-chain polyunsaturated fatty acids (VLCPUFAs) at the sn-2 position, including 1 phosphatidylcholine (PC) [PC(18:0/22:6)], 9 phosphatidylethanolamines (PEs) [PE(16:0/22:6), PE(18:0/14:0), PE(18:0/18:1), PE(18:0/18:2), PE(18:0/20:3), PE(18:0/22:5), PE(18:0/22:6), PE(18:1/22:6), and PE(18:2/22:6)], and 1 phosphatidylserine (PS) [PS(18:0/18:0)], were positively associated with incident MetS (RRs: 1.16-1.30 per SD change; Bonferroni-corrected P < 0.05). In network analysis, the strongest positive association for MetS incidence was evidenced in a module mainly composed of PEs containing C22:6 and PSs [RR: 1.21; 95% CI: 1.12, 1.31 per SD change; Bonferroni-corrected P < 0.05]. This association was more pronounced in participants with lower erythrocyte total n-3 PUFA concentrations [Bonferroni-corrected Pinter(P value for the interaction)< 0.05]. CONCLUSIONS Elevated plasma concentrations of GPs, especially PEs with LCPUFAs or VLCPUFAs at the sn-2 position, are associated with higher risk of incident MetS. Future studies are merited to confirm our findings.
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Affiliation(s)
- Shuangshuang Chen
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Qingqing Wu
- Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Li Zhu
- Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China
| | - Geng Zong
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Huaixing Li
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - He Zheng
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
| | - Rong Zeng
- Key Laboratory of Systems Biology, Institute of Biochemistry and Cell Biology, CAS Center for Excellence in Molecular Cell Science, Chinese Academy of Sciences, Shanghai, China.,Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China
| | - Xu Lin
- Key Laboratory of Systems Biology, Hangzhou Institute for Advanced Study, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Hangzhou, China.,Shanghai Institute of Nutrition and Health, Chinese Academy of Sciences, Shanghai, China
| | - Liang Sun
- CAS Key Laboratory of Nutrition, Metabolism and Food Safety, Shanghai Institute of Nutrition and Health, University of Chinese Academy of Sciences, Chinese Academy of Sciences, Shanghai, China
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Varghese DS, Ali BR. Pathological Crosstalk Between Oxidized LDL and ER Stress in Human Diseases: A Comprehensive Review. Front Cell Dev Biol 2021; 9:674103. [PMID: 34124059 PMCID: PMC8187772 DOI: 10.3389/fcell.2021.674103] [Citation(s) in RCA: 21] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Accepted: 04/26/2021] [Indexed: 02/05/2023] Open
Abstract
The oxidative modification of the major cholesterol carrying lipoprotein, oxLDL, is a biomarker as well as a pathological factor in cardiovascular diseases (CVD), type 2 diabetes mellitus (T2DM), obesity and other metabolic diseases. Perturbed cellular homeostasis due to physiological, pathological and pharmacological factors hinder the proper functioning of the endoplasmic reticulum (ER), which is the major hub for protein folding and processing, lipid biosynthesis and calcium storage, thereby leading to ER stress. The cellular response to ER stress is marked by a defensive mechanism called unfolded protein response (UPR), wherein the cell adapts strategies that favor survival. Under conditions of excessive ER stress, when the survival mechanisms fail to restore balance, UPR switches to apoptosis and eliminates the defective cells. ER stress is a major hallmark in metabolic syndromes such as diabetes, non-alcoholic fatty liver disease (NAFLD), neurological and cardiovascular diseases. Though the pathological link between oxLDL and ER stress in cardiovascular diseases is well-documented, its involvement in other diseases is still largely unexplored. This review provides a deep insight into the common mechanisms in the pathogenicity of diseases involving oxLDL and ER stress as key players. In addition, the potential therapeutic intervention of the targets implicated in the pathogenic processes are also explored.
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Affiliation(s)
- Divya Saro Varghese
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
| | - Bassam R Ali
- Department of Genetics and Genomics, College of Medicine and Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates.,Zayed Bin Sultan Center for Health Sciences, United Arab Emirates University, Al Ain, United Arab Emirates
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Warmbrunn MV, Koopen AM, de Clercq NC, de Groot PF, Kootte RS, Bouter KEC, ter Horst KW, Hartstra AV, Serlie MJ, Ackermans MT, Soeters MR, van Raalte DH, Davids M, Nieuwdorp M, Groen AK. Metabolite Profile of Treatment-Naive Metabolic Syndrome Subjects in Relation to Cardiovascular Disease Risk. Metabolites 2021; 11:metabo11040236. [PMID: 33924347 PMCID: PMC8069178 DOI: 10.3390/metabo11040236] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2021] [Revised: 04/02/2021] [Accepted: 04/10/2021] [Indexed: 12/26/2022] Open
Abstract
Metabolic syndrome (MetSyn) is an important risk factor for type 2 diabetes and cardiovascular diseases (CVD). This study aimed to find distinct plasma metabolite profiles between insulin-resistant and non-insulin resistant subjects with MetSyn and evaluate if MetSyn metabolite profiles are related to CVD risk and lipid fluxes. In a cross-sectional study, untargeted metabolomics of treatment-naive males with MetSyn (n = 132) were analyzed together with clinical parameters. In a subset of MetSyn participants, CVD risk was calculated using the Framingham score (n = 111), and lipolysis (n = 39) was measured by a two-step hyperinsulinemic euglycemic clamp using [1,1,2,3,3-2H5] glycerol to calculate lipolysis suppression rates. Peripheral insulin resistance was related to fatty acid metabolism and glycerolphosphorylcholine. Interestingly, although insulin resistance is considered to be a risk factor for CVD, we observed that there was little correspondence between metabolites associated with insulin resistance and metabolites associated with CVD risk. The latter mainly belonged to the androgenic steroid, fatty acid, phosphatidylethanolamine, and phophatidylcholine pathways. These data provide new insights into metabolic changes in mild MetSyn pathophysiology and MetSyn CVD risk related to lipid metabolism. Prospective studies may focus on the pathophysiological role of the here-identified biomarkers.
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Affiliation(s)
- Moritz V. Warmbrunn
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
- Correspondence: (M.V.W.); (A.K.G.)
| | - Annefleur M. Koopen
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
| | - Nicolien C. de Clercq
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
| | - Pieter F. de Groot
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
| | - Ruud S. Kootte
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
| | - Kristien E. C. Bouter
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
| | - Kasper W. ter Horst
- Department of Endocrinology and Metabolism, Amsterdam UMC, Location AMC at University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (K.W.t.H.); (M.J.S.); (M.T.A.); (M.R.S.)
| | - Annick V. Hartstra
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
| | - Mireille J. Serlie
- Department of Endocrinology and Metabolism, Amsterdam UMC, Location AMC at University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (K.W.t.H.); (M.J.S.); (M.T.A.); (M.R.S.)
| | - Mariette T. Ackermans
- Department of Endocrinology and Metabolism, Amsterdam UMC, Location AMC at University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (K.W.t.H.); (M.J.S.); (M.T.A.); (M.R.S.)
| | - Maarten R. Soeters
- Department of Endocrinology and Metabolism, Amsterdam UMC, Location AMC at University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (K.W.t.H.); (M.J.S.); (M.T.A.); (M.R.S.)
| | - Daniel H. van Raalte
- Diabetes Center, Department of Internal Medicine, Amsterdam UMC, Location VUMC at VU University Medical Centers, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands;
- Amsterdam UMC, Amsterdam Cardiovascular Sciences, VU University, De Boelelaan 1117, 1081 HV Amsterdam, The Netherlands
| | - Mark Davids
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
| | - Max Nieuwdorp
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
- Wallenberg Laboratory, University of Gothenburg, Bruna Stråket 16, SE-413 45 Göteborg, Sweden
| | - Albert K. Groen
- Department of Internal and Vascular Medicine, Amsterdam University Medical Centers, Location AMC, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands; (A.M.K.); (N.C.d.C.); (P.F.d.G.); (R.S.K.); (K.E.C.B.); (A.V.H.); (M.D.); (M.N.)
- Correspondence: (M.V.W.); (A.K.G.)
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He D, Fan F, Jia J, Jiang Y, Sun P, Wu Z, Li J, Huo Y, Zhang Y. Lipid profiles and the risk of new-onset hypertension in a Chinese community-based cohort. Nutr Metab Cardiovasc Dis 2021; 31:911-920. [PMID: 33549431 DOI: 10.1016/j.numecd.2020.11.026] [Citation(s) in RCA: 18] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/13/2020] [Revised: 11/13/2020] [Accepted: 11/25/2020] [Indexed: 11/22/2022]
Abstract
BACKGROUND AND AIMS Dyslipidemia and hypertension, key risk factors for cardiovascular disease, may share similar pathophysiological processes. A longitudinal association was reported between dyslipidemia and new-onset hypertension, but few data were published in Asian. We aimed to investigate the association of lipid profiles with new-onset hypertension in a Chinese community-based non-hypertensive cohort without lipid-lowering treatment (n = 1802). METHODS AND RESULTS New-onset hypertension was defined as any self-reported history of hypertension, systolic blood pressure ≥140 mmHg, or diastolic blood pressure ≥90 mmHg, or receiving antihypertensive medications at follow-up. Logistic regression models were used to evaluate the associations. Participants were aged 53.97 ± 7.49 years, 31.19% were men, and 64.54% with dyslipidemia. During a median of 2.30 years follow-up, the incidence of new-onset hypertension was 12.99%. Multivariate adjusted risks of new-onset hypertension increased with triglyceride increases (odds ratio [OR] = 1.14, 95% confidence interval [CI]: 1.03-1.27) and high-density lipoprotein cholesterol (HDL-C) decreases (OR = 0.47, 95% CI: 0.29-0.76) for one unit. However, threshold effects were observed for total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C) and non-HDL-C. Compared with subjects with hyperlipidemia, in those with normal concentrations of TC, LDL-C, and non-HDL-C increased risks of new-onset hypertension were observed with OR (95% CI) of 1.65 (1.10-2.46), 1.58 (1.07-2.33), and 1.57 (1.15-2.15) for one unit increasement, respectively, after adjusting for all covariates. CONCLUSION Higher TG and lower HDL-C increased the risk of new-onset hypertension, but for TC, LDL-C and non-HDLC, the risk of new-onset hypertension was increased only at normal concentrations in a Chinese community-based cohort.
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Affiliation(s)
- Danmei He
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Fangfang Fan
- Department of Cardiology, Peking University First Hospital, Beijing, China.
| | - Jia Jia
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Yimeng Jiang
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Pengfei Sun
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Zhongli Wu
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Jianping Li
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Yong Huo
- Department of Cardiology, Peking University First Hospital, Beijing, China
| | - Yan Zhang
- Department of Cardiology, Peking University First Hospital, Beijing, China.
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Liu X, Cao H, Zhu H, Zhang H, Niu K, Tang N, Cui Z, Pan L, Yao C, Gao Q, Wang Z, Sun J, He H, Guo M, Guo C, Liu K, Peng H, Peng W, Sun Y, Xie Y, Li B, Shan G, Zhang L. Association of chronic diseases with depression, anxiety and stress in Chinese general population: The CHCN-BTH cohort study. J Affect Disord 2021; 282:1278-1287. [PMID: 33601707 DOI: 10.1016/j.jad.2021.01.040] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/11/2020] [Revised: 01/09/2021] [Accepted: 01/12/2021] [Indexed: 01/26/2023]
Abstract
Background Large-scale epidemiological surveys focusing on characteristic differences in psychological and physical health conditions in Chinese adults are lacking. Objective To investigate the association of noncommunicable chronic diseases (NCDs) with depression, anxiety and stress in the Chinese general population. Methods A total of 13784 participants were recruited from the baseline survey of the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei (CHCN-BTH) from 2017 to 2019. Sociodemographic characteristics, lifestyle and NCDs were assessed via questionnaire. Stress, anxiety and depression were assessed by the Depression-Anxiety-Stress Scale (DASS-21). The relationship of NCDs with psychological symptoms was determined through logistic regression analysis. Results Multivariate logistic regression analysis revealed that the prevalence of stress (OR = 1.640; 95% CI: 1.381-1.949), anxiety (OR = 1.654; 95% CI: 1.490-1.837) and depression (OR = 1.460; 95% CI: 1.286-1.658) symptoms were all significantly higher in patients with NCDs. Multimorbidities were associated with a higher risk of stress (OR = 2.310; 95% CI: 1.820-2.931), anxiety (OR = 2.119; 95% CI: 1.844-2.436) and depression (OR = 2.785; 95% CI: 1.499-2.126) than single NCDs. A course of disease within 1 year or more than 5 years also was associated with a higher risk. Limitations The cross-sectional design could not examine the causal link between psychological symptoms and NCDs. Conclusion Psychological symptoms were more prevalent among individuals with NCDs in the Chinese general population. This study suggests that more attention should be paid to the mental health problems of patients with NCDs.
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Affiliation(s)
- Xiaohui Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Han Cao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Huiping Zhu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Han Zhang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, 100076, China
| | - Kaijun Niu
- Nutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, 300070, China
| | - Naijun Tang
- Department of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, and Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin 300070, China
| | - Ze Cui
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, Hebei Province, 050021, China
| | - Li Pan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100730, China
| | - Changqiang Yao
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100730, China
| | - Qi Gao
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Zhengfang Wang
- Health Management Center, Beijing Aerospace General Hospital, Beijing, 100076, China
| | - Jixin Sun
- Department of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, Hebei Province, 050021, China
| | - Huijing He
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100730, China
| | - Ming Guo
- Department of Disease Prevention and Control, Dingzhou Center for Disease Prevention and Control, Baoding, Hebei Province, 073099, China
| | - Chunyue Guo
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Kuo Liu
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Hai Peng
- Department of Disease Prevention and Control, Dingzhou Center for Disease Prevention and Control, Baoding, Hebei Province, 073099, China
| | - Wenjuan Peng
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Yanyan Sun
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Yunyi Xie
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Bingxiao Li
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China
| | - Guangliang Shan
- Department of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing 100730, China
| | - Ling Zhang
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, 100069, China..
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Deng Y, Huang C, Su J, Pan CW, Ke C. Identification of biomarkers for essential hypertension based on metabolomics. Nutr Metab Cardiovasc Dis 2021; 31:382-395. [PMID: 33495028 DOI: 10.1016/j.numecd.2020.11.023] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/14/2020] [Revised: 11/10/2020] [Accepted: 11/20/2020] [Indexed: 01/09/2023]
Abstract
AIM Essential hypertension (EH) is one of the most important public health problems worldwide. However, the pathogenesis of EH is unclear and early diagnostic methods are lacking. Metabolomics demonstrates great potential for biomarker discovery and the mechanistic exploration of metabolic diseases. DATA SYNTHESIS This review included human and animal metabolomics studies related to EH in the PubMed and Web of Science databases between February 1996 and May 2020. The study designs, EH standards, and reported metabolic biomarkers were systematically examined and compared. The pathway analysis was conducted through the online software MetaboAnalyst 4.0. Twenty-two human studies and fifteen animal studies were included in this systematic review. There were many frequently reported biomarkers with consistent trends (e.g., pyruvate, lactic acid, valine, and tryptophan) in human and animal studies, and thus had potential as biomarkers of EH. In addition, several shared metabolic pathways, including alanine, aspartate, and glutamate metabolism, aminoacyl-tRNA biosynthesis, and arginine biosynthesis, were identified in human and animal metabolomics studies. These biomarkers and pathways, closely related to insulin resistance, the inflammatory state, and impaired nitric oxide production, were demonstrated to contribute to EH development. CONCLUSIONS This study summarized valuable metabolic biomarkers and pathways that could offer opportunities for the early diagnosis or prediction of EH and the discovery of the metabolic mechanisms of EH.
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Affiliation(s)
- Yueting Deng
- Medical College of Soochow University, Suzhou, 215123, PR China
| | - Chen Huang
- Medical College of Soochow University, Suzhou, 215123, PR China
| | - Jingyue Su
- Medical College of Soochow University, Suzhou, 215123, PR China
| | - Chen-Wei Pan
- School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, PR China.
| | - Chaofu Ke
- Department of Epidemiology and Biostatistics, School of Public Health, Medical College of Soochow University, 199 Renai Road, Suzhou, 215123, PR China.
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Comparative Study of Metabolite Changes After Antihypertensive Therapy With Calcium Channel Blockers or Angiotensin Type 1 Receptor Blockers. J Cardiovasc Pharmacol 2021; 77:228-237. [PMID: 33235029 DOI: 10.1097/fjc.0000000000000958] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/21/2020] [Accepted: 11/05/2020] [Indexed: 01/13/2023]
Abstract
ABSTRACT The high prevalence of hypertension contributes to an increased global burden of cardiovascular diseases. Calcium channel blockers (CCBs) and angiotensin type 1 receptor blockers (ARBs) are the most widely used antihypertensive drugs, and the effects of these drugs on serum metabolites remain unknown. Untargeted metabolomics has been proved to be a powerful approach for the detection of biomarkers and new compounds. In this study, we aimed to determine the changes in metabolites after single-drug therapy with a CCB or ARB in patients newly diagnosed with mild to moderate primary hypertension. We enrolled 33 patients and used an untargeted metabolomics approach to measure 625 metabolites associated with the response to a 4-week treatment of antihypertensive drugs. After screening based on P < 0.05, fold change > 1.2 or fold change < 0.83, and variable importance in projection > 1, 63 differential metabolites were collected. Four metabolic pathways-cysteine and methionine metabolism, phenylalanine metabolism, taurine and hypotaurine metabolism, and tyrosine metabolism-were identified in participants treated with ARBs. Only taurine and hypotaurine metabolism were identified in participants treated with CCBs. Furthermore, homocitrulline and glucosamine-6-phosphate were relevant to whether the blood pressure reduction achieved the target blood pressure (P < 0.05). Our study provides some evidence that changes in certain metabolites may be a potential marker for the dynamic monitoring of the protective effects and side effects of antihypertensive drugs.
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45
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Han P, Man J, Hao Y, Wu L, Wang J, Yang W, Wang F, Tian Y. Metabolomic analysis of plasma from normal-weight adults with hypo-HDL cholesterolemia by UPLC-QTOF MS. Biomed Chromatogr 2021; 35:e5073. [PMID: 33453122 DOI: 10.1002/bmc.5073] [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: 08/29/2020] [Revised: 01/05/2021] [Accepted: 01/11/2021] [Indexed: 11/09/2022]
Abstract
High-density lipoprotein cholesterol (HDL-C) is negatively correlated with atherosclerotic cardiovascular disease. The prevalence of hypo-HDL cholesterolemia is as high as 33.9%. The plasma metabolomic differences between hypo-HDL cholesterolemia populations and normal controls were investigated using ultra-high-performance liquid chromatography-quadrupole time-of-flight mass spectrometry. Participants with hypo-HDL cholesterolemia and normal controls were clearly discriminated from each other on the orthogonal partial least squares-discriminant analysis score plot and a total of 90 differential metabolites were identified, including down-regulated phosphatidylserine [18:0/20:3(8Z,11Z,14Z)], phosphatidylcholine [19:0/18:3(6Z,9Z,12Z)], phosphatidylserine, phosphatidylethanolamine [18:0/20:4(5Z,8Z,11Z,13E) (15Ke)], etc., and up-regulated triglyceride [15:0/18:1(9Z)/18:3(9Z,12Z,15Z)][iso6], 13-methyl-1-tritriacontene, tridodecylamine, etc. Most of the changed metabolites were lipids, notably, a significant part of which were odd chain fatty acid incorporated lipids. Carnitine shuttle was the most significant metabolic pathway, except for the disturbed glycerophospholipid metabolism, glycosphingolipid metabolism and sphingolipid metabolism in participants with hypo-HDL cholesterolemia. We identified the key metabolites and metabolic pathways that may be changed in hypo-HDL cholesterolemia participants, providing useful clues for studying the metabolic mechanisms and for early prevention of hypo-HDL cholesterolemia and dyslipidemia.
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Affiliation(s)
- Pei Han
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jin Man
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yun Hao
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Longjie Wu
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Jia Wang
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Wenjie Yang
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Fudi Wang
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
| | - Yongmei Tian
- College of Public Health, Zhengzhou University, Zhengzhou, Henan, China
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46
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Zhang S, Liu Y, Wang X, Tian Z, Qi D, Li Y, Jiang H. Antihypertensive activity of oleanolic acid is mediated via downregulation of secretory phospholipase A2 and fatty acid synthase in spontaneously hypertensive rats. Int J Mol Med 2020; 46:2019-2034. [PMID: 33125128 PMCID: PMC7595669 DOI: 10.3892/ijmm.2020.4744] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/21/2020] [Accepted: 08/28/2020] [Indexed: 12/11/2022] Open
Abstract
Oleanolic acid (OA) is reported to possess antihypertensive activity via the regulation of lipid metabolism; however, the mechanisms underlying lipid regulation by OA are yet to be fully elucidated. The aim of the present study was to evaluate the mechanisms via which OA regulates lipid metabolism in spontaneously hypertensive rats (SHRs) via ultra‑performance liquid chromatography‑quadrupole/Orbitrap‑mass spectrometry (MS)‑based lipidomics analysis. SHRs were treated with OA (1.08 mg/kg) for 4 weeks. The liver tissues were excised, homogenized in dichloromethane and centrifuged, and subsequently the supernatant layer was collected and concentrated under vacuum to dryness. The dichloromethane extract was subjected to MS analysis and database searching, and comparison of standards was performed to identify potential biomarkers. Partial least squares‑discriminant analysis performed on the liver lipidome revealed a total of 14 endogenous metabolites that were significantly changed in the SHR model group (SH group) compared with Wistar Kyoto rats [normal control (NC group)], including glycerophospholipids, sphingolipids and glycerides. Heatmaps revealed that the liver lipid profiles in the OA group were clustered more closely compared with those observed in the NC group, indicating that the antihypertensive effect of OA was mediated via regulation of liver lipid metabolites. It was observed that the protein levels of secretory phospholipase A2 (sPLA2) and fatty acid synthase (FAS) were increased in the SH group compared with the NC group. In addition, the levels of lysophosphatidylcholine and triglycerides in the liver were elevated, whereas the levels of low‑density lipoprotein cholesterol and high‑density lipoprotein cholesterol were reduced in the SH group. Upon treatment with OA, the mRNA and protein levels of PLA2 and FAS were observed to be downregulated. Collectively, the present study indicated that the antihypertensive activity of OA was mediated via downregulation of sPLA2 and FAS in SHRs, and that treatment with OA resulted in significant improvements in blood pressure and associated abnormalities in the lipid metabolites.
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Affiliation(s)
- Shiming Zhang
- Experimental Centre, Shandong University of Traditional Chinese Medicine
| | - Yuecheng Liu
- Key Laboratory of Traditional Chinese Medicine Classical Theory, Ministry of Education
| | - Xiaoming Wang
- Experimental Centre, Shandong University of Traditional Chinese Medicine
| | - Zhenhua Tian
- Experimental Centre, Shandong University of Traditional Chinese Medicine
| | - Dongmei Qi
- Experimental Centre, Shandong University of Traditional Chinese Medicine
- Key Laboratory of Traditional Chinese Medicine Classical Theory, Ministry of Education
- Shandong Provincial Key Laboratory of Traditional Chinese Medicine for Basic Research, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250355, P.R. China
| | - Yunlun Li
- Experimental Centre, Shandong University of Traditional Chinese Medicine
- Key Laboratory of Traditional Chinese Medicine Classical Theory, Ministry of Education
- Shandong Provincial Key Laboratory of Traditional Chinese Medicine for Basic Research, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250355, P.R. China
| | - Haiqiang Jiang
- Experimental Centre, Shandong University of Traditional Chinese Medicine
- Key Laboratory of Traditional Chinese Medicine Classical Theory, Ministry of Education
- Shandong Provincial Key Laboratory of Traditional Chinese Medicine for Basic Research, Shandong University of Traditional Chinese Medicine, Jinan, Shandong 250355, P.R. China
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47
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Wu CH, Chiu LT, Chang YJ, Lee CI, Lee MS, Lee TH, Wei JCC. Hypertension Risk in Young Women With Polycystic Ovary Syndrome: A Nationwide Population-Based Cohort Study. Front Med (Lausanne) 2020; 7:574651. [PMID: 33072787 PMCID: PMC7538684 DOI: 10.3389/fmed.2020.574651] [Citation(s) in RCA: 9] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2020] [Accepted: 08/18/2020] [Indexed: 12/30/2022] Open
Abstract
Objective: A number of publications have assessed the prevalence of hypertension in polycystic ovary syndrome (PCOS) patients with inconclusive results. Since in general populations the occurrence of hypertension is related to age and comorbidities, we investigated the incidence rate and hazard ratios (HRs) of hypertension between healthy subjects and young women with PCOS as well as comorbidities. Methods: We conducted a population-based retrospective cohort study by using the National Health Insurance Research Database in Taiwan. The cohort included women with the diagnosis of PCOS between 2000 and 2012. Those without PCOS were selected as the control group at a ratio of 4:1 by an age-matched systematic random-sampling method. Cox proportional hazard regression analysis was used to determine the effects of PCOS on the risks of developing hypertension. Stratification analysis was performed to elucidate the interaction among PCOS and the comorbidities, which affect the incidence of hypertension. Results: The PCOS cohort consisted of 20,652 patients with PCOS and the comparison cohort consisted of 82,608 matched patients without PCOS. There was no difference in the distribution of age between the PCOS cohort and the comparison cohort (29.1 ± 6.8 vs. 29.0 ± 6.5, p = 0.32). The incidence rates of hypertension were 7.85 and 4.23 per 1,000 person-years in the PCOS and comparison groups, respectively. A statistically significant higher risk of hypertension was found in the PCOS cohort (adjusted HR = 1.62, 95% confidence interval = 1.48–1.76) than in the comparison cohort. After a joint analysis of comorbidities, the adjusted HR of hypertension was 9.44 (95% confidence interval = 7.27–12.24) for PCOS patients with comorbidities of diabetes mellitus (DM) and hyperlipidemia compared with women with neither PCOS nor DM and hyperlipidemia. Conclusion: The risk of developing hypertension in young women with PCOS was higher than in controls in this cohort study. The comorbidities of DM and hyperlipidemia could interact with PCOS patients and further increase the risk of hypertension. An earlier screening for hypertension and comorbidities in patients with PCOS may be warranted, even in young women.
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Affiliation(s)
- Cheng-Hsuan Wu
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.,Women's Health Research Laboratory, Changhua Christian Hospital, Changhua, Taiwan.,School of Medicine, Kaohsiung Medical University, Kaohsiung, Taiwan
| | - Lu-Ting Chiu
- Management Office for Health Data, Clinical Trial Research Center, China Medical University Hospital, Taichung, Taiwan
| | - Yu-Jun Chang
- Epidemiology and Biostatistics Center, Changhua Christian Hospital, Changhua, Taiwan
| | - Chun-I Lee
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.,Department of Obstetrics and Gynecology, Chung Shan Medical University Hospital, Taichung, Taiwan.,Division of Infertility, Lee Women's Hospital, Taichung, Taiwan
| | - Maw-Sheng Lee
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.,Department of Obstetrics and Gynecology, Chung Shan Medical University Hospital, Taichung, Taiwan.,Division of Infertility, Lee Women's Hospital, Taichung, Taiwan
| | - Tsung-Hsien Lee
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.,Department of Obstetrics and Gynecology, Chung Shan Medical University Hospital, Taichung, Taiwan.,Division of Infertility, Lee Women's Hospital, Taichung, Taiwan
| | - James Cheng-Chung Wei
- Institute of Medicine, Chung Shan Medical University, Taichung, Taiwan.,Department of Allergy, Immunology and Rheumatology, Chung Shan Medical University Hospital, Taichung, Taiwan.,Graduate Institute of Integrated Medicine, China Medical University, Taichung, Taiwan
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Lee JK, Lee JJ, Kim YK, Lee Y, Ha JH. Stachys sieboldii Miq. Root Attenuates Weight Gain and Dyslipidemia in Rats on a High-Fat and High-Cholesterol Diet. Nutrients 2020; 12:nu12072063. [PMID: 32664607 PMCID: PMC7400866 DOI: 10.3390/nu12072063] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/12/2020] [Revised: 07/03/2020] [Accepted: 07/09/2020] [Indexed: 12/30/2022] Open
Abstract
This study aimed at investigating the anti-obesity and anti-dyslipidemic effects of Stachys sieboldii Miq. root (SS) powder in rats following a high-fat and high-cholesterol (HFC) diet for 6 weeks. Thirty-two Sprague–Dawley rats were fed one of the following diets: a regular diet (RD), HFC, HFC supplemented with 3% SS (HFC + 3SS) or HFC supplemented with 5% SS (HFC + 5SS). Following an HFC diet increased body weight (BW) gain (p < 0.001) and the food efficiency ratio (FER; p < 0.001); however, SS consumption gradually prevented the HFC-induced BW gain (p < 0.001) and increase in FER (p < 0.01). The HFC diet resulted in increased liver size (p < 0.001) and total adipose tissue weight (p < 0.001), whereas the SS supplementation decreased hepatomegaly (p < 0.05) and body fat mass (p < 0.001). SS consumption prevented the increased activities of serum alanine aminotransferase (ALT; p < 0.001), aspartate aminotransferase (AST; p < 0.001), alkaline phosphatase (ALP; p < 0.01 in HFC + 5SS) and lactate dehydrogenase (LDH; p < 0.001 in HFC + 5SS) induced by the HFC diet (p < 0.001). The SS supplementation improved lipid profiles in the circulation by lowering triglyceride (TG; p < 0.01), total cholesterol (TC; p < 0.001) and non-HDL cholesterol (non-HDL-C; p < 0.001) levels, as well as the atherogenic index (p < 0.01) and cardiac risk factor (p < 0.01). The lipid distribution in the liver (p < 0.05) and white adipose tissues (WAT; p < 0.001) of the HFC + SS diet-consuming rats was remarkably lower than that of the HFC diet-consuming rats. The average size of the epididymal adipose tissue (p < 0.001) was significantly lower in the HFC + SS diet-fed rats than in the HFC diet-fed rats. The fecal lipid (>3% SS; p < 0.001) and cholesterol (5% SS; p < 0.001) efflux levels were significantly elevated by the SS supplementation compared to those measured in the RD or HFC diet-fed groups. In addition, the hepatic lipid and cholesterol metabolism-related gene expressions were affected by SS consumption, as the hepatic anabolic gene expression (Acc; p < 0.001, Fas; p < 0.001 and G6pdh; p < 0.01) was significantly attenuated. The HFC + 5SS diet-fed rats exhibited elevated hepatic Cyp7a1 (p < 0.001), Hmgcr (p < 0.001) and Ldlr (p < 0.001) mRNA expression levels compared to the HFC diet-fed rats. These results suggest that SS may possess anti-adipogenic and lipid-lowering effects by enhancing lipid and cholesterol efflux in mammals.
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Affiliation(s)
- Jennifer K. Lee
- Food Science & Human Nutrition Department, University of Florida, Gainesville, FL 32611, USA;
| | - Jae-Joon Lee
- Department of Food and Nutrition, Chosun University, Gwangju 61452, Korea; (J.-J.L.); (Y.-K.K.)
| | - Yeon-Kyoung Kim
- Department of Food and Nutrition, Chosun University, Gwangju 61452, Korea; (J.-J.L.); (Y.-K.K.)
| | - Youngseung Lee
- Research Center for Industrialization of Natural Neutralization, Dankook University, Cheonan 31116, Korea
- Department of Food Science and Nutrition, Dankook University, Cheonan 31116, Korea
- Correspondence: (Y.L.); (J.-H.H.); Tel.: +82-41-550-3476 (Y.L.); +82-41-550-3479 (J.-H.H.)
| | - Jung-Heun Ha
- Research Center for Industrialization of Natural Neutralization, Dankook University, Cheonan 31116, Korea
- Department of Food Science and Nutrition, Dankook University, Cheonan 31116, Korea
- Correspondence: (Y.L.); (J.-H.H.); Tel.: +82-41-550-3476 (Y.L.); +82-41-550-3479 (J.-H.H.)
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Louca P, Menni C, Padmanabhan S. Genomic Determinants of Hypertension With a Focus on Metabolomics and the Gut Microbiome. Am J Hypertens 2020; 33:473-481. [PMID: 32060494 DOI: 10.1093/ajh/hpaa022] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/26/2020] [Revised: 02/10/2020] [Accepted: 02/11/2020] [Indexed: 12/28/2022] Open
Abstract
Epidemiologic and genomic studies have progressively improved our understanding of the causation of hypertension and the complex relationship with diet and environment. The majority of Mendelian forms of syndromic hypotension and hypertension (HTN) have all been linked to mutations in genes whose encoded proteins regulate salt-water balance in the kidney, supporting the primacy of the kidneys in blood pressure regulation. There are more than 1,477 single nucleotide polymorphisms associated with blood pressure and hypertension and the challenge is establishing a causal role for these variants. Hypertension is a complex multifactorial phenotype and it is likely to be influenced by multiple factors including interactions between diet and lifestyle factors, microbiome, and epigenetics. Given the finite genetic variability that is possible in humans, it is likely that incremental gains from single marker analyses have now plateaued and a greater leap in our understanding of the genetic basis of disease will come from integration of other omics and the interacting environmental factors. In this review, we focus on emerging results from the microbiome and metabolomics and discuss how leveraging these findings may facilitate a deeper understanding of the interrelationships between genomics, diet, and microbial ecology in humans in the causation of essential hypertension.
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Affiliation(s)
| | - Cristina Menni
- Department of Twin Research, King’s College London, London, UK
| | - Sandosh Padmanabhan
- Institute of Cardiovascular and Medical Sciences, University of Glasgow, Glasgow, UK
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Huang HT, Zhang XY, Zhang C, Ling Q, Zheng SS. Predicting dyslipidemia after liver transplantation: A significant role of recipient metabolic inflammation profile. World J Gastroenterol 2020; 26:2374-2387. [PMID: 32476799 PMCID: PMC7243645 DOI: 10.3748/wjg.v26.i19.2374] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/30/2019] [Revised: 04/08/2020] [Accepted: 04/24/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Post-transplant dyslipidemia (PTDL) is a common complication in liver recipients and can cause morbidity and threaten graft function. The crosstalk between metabolic inflammation and dyslipidemia has been recently revealed. However, the role of grafts’ and recipients’ metabolic status in the development of PTDL has not been evaluated.
AIM To investigate the association of recipients’ metabolic inflammation status with PTDL and construct a predictive model.
METHODS A total of 396 adult patients who received primary liver transplantation between 2015 and 2017 were enrolled. Metabolomics and cytokines were analyzed using recipients’ pre-transplant peripheral blood in a training set (n = 72). An integrated prediction model was established according to the clinical risk factors and metabolic inflammation compounds and further verified in a validation set (n = 144).
RESULTS The serum lipid profile took 3 mo to reach homeostasis after liver transplantation. A total of 278 (70.2%) liver recipients developed PTDL during a follow-up period of 1.78 (1.00, 2.97) years. The PTDL group showed a significantly lower tumor-free survival and overall survival than the non-PTDL group in patients with hepatocellular carcinoma (n = 169). The metabolomic analysis showed that metabolic features discriminating between the PTDL and non-PTDL groups were associated with lipid and glucose metabolism-associated pathways. Among metabolites and cytokines differentially expressed between the two groups, interleukin-12 (p70) showed the best diagnostic accuracy and significantly increased the predictive value when it was incorporated into the clinical model in both training and validation sets.
CONCLUSION Recipients’ pre-transplant serum interleukin-12 (p70) level is associated with the risk of PTDL and has potential clinical value for predicting PTDL.
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Affiliation(s)
- Hai-Tao Huang
- Department of Surgery, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China
| | - Xue-You Zhang
- Department of Surgery, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China
| | - Cheng Zhang
- Department of Surgery, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China
| | - Qi Ling
- Department of Surgery, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China
- Key Lab of Combined Multi-Organ Transplantation, Ministry of Public Health, Hangzhou 310003, Zhejiang Province, China
| | - Shu-Sen Zheng
- Department of Surgery, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, the First Affiliated Hospital, Zhejiang University School of Medicine, Hangzhou 310003, Zhejiang Province, China
- Key Lab of Combined Multi-Organ Transplantation, Ministry of Public Health, Hangzhou 310003, Zhejiang Province, China
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