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Khattib A, Shmet M, Levy A, Hayek T, Halabi M, Khatib S. Bioactive lipids improve serum HDL and PON1 activities in coronary artery disease patients: Ex-vivo study. Vascul Pharmacol 2024:107435. [PMID: 39419293 DOI: 10.1016/j.vph.2024.107435] [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: 09/01/2024] [Revised: 10/09/2024] [Accepted: 10/10/2024] [Indexed: 10/19/2024]
Abstract
BACKGROUND Atherosclerotic cardiovascular disease (CVD) remains a leading cause of vascular disease worldwide. Atherosclerosis is characterized by the accumulation of lipids and oxidized lipids on the blood vessel walls. Coronary artery disease (CAD) is the most common display of atherosclerotic CVD. OBJECTIVES We investigated the effects of the bioactive lipids as lyso-diacylglyceryltrimethylhomoserine (lyso-DGTS (20,5,0)) and its derivative oleoyl-N-trimethyl homoserine amide (oleoyl amide-MHS) on the properties and functionality of HDL and paraoxonase 1 (PON1) activities in the serum of individuals who exhibited arterial plaque as observed by coronary CT angiography (CCTA). METHODS The study included two independent groups comprising 40 patients who had undergone arterial CCTA scans at Ziv Medical Center for various medical indications. The CAD group included 20 patients with coronary artery plaques with luminal stenosis of more than 50 % in a major coronary vessel. The control group consisted of 20 healthy patients (patients without artery plaques). RESULTS Serum samples from CAD patients exhibited lower serum PON1 and cholesterol efflux activities and higher pro-inflammatory than the control group. HDL isolated from CAD patients contains elevated levels of oxidizing lipids (specifically lyso- phosphatidyl ethanolamines and lyso-phosphocholines(compared to the control. However, incubation of the CAD patients' serum with lyso-DGTS and oleoyl amide-MHS restored the antiatherogenic activities of HDL. The lipids increased serum PON1 activities, enhanced apoB-depleted serum cholesterol-efflux activity, and elevated the serum's anti-inflammatory properties. CONCLUSIONS The results of the present study suggest the potential of the bioactive lipids lyso-DGTS and oleoyl amide-MHS to attenuate atherosclerosis via the improvement of dysfunctional HDL properties and PON1 activities. Further, in-vivo experiments are needed to assess the athero-protective effect of the lipids.
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Affiliation(s)
- Ali Khattib
- Natural Products and Analytical Chemistry Laboratory, MIGAL -Galilee Technology Center, Qiryat Shemona, Israel; Department of Biotechnology, Tel-Hai College, Upper Galilee, Israel; Technion Israel Institute of Technology, The Ruth and Bruce Rappaport Faculty of Medicine, Haifa, Israel
| | - Manar Shmet
- Natural Products and Analytical Chemistry Laboratory, MIGAL -Galilee Technology Center, Qiryat Shemona, Israel; Department of Biotechnology, Tel-Hai College, Upper Galilee, Israel
| | - Achinoam Levy
- Natural Products and Analytical Chemistry Laboratory, MIGAL -Galilee Technology Center, Qiryat Shemona, Israel; Department of Biotechnology, Tel-Hai College, Upper Galilee, Israel
| | - Tony Hayek
- Technion Israel Institute of Technology, The Ruth and Bruce Rappaport Faculty of Medicine, Haifa, Israel
| | | | - Soliman Khatib
- Natural Products and Analytical Chemistry Laboratory, MIGAL -Galilee Technology Center, Qiryat Shemona, Israel; Department of Biotechnology, Tel-Hai College, Upper Galilee, Israel.
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Fernández-Gallego N, Castillo-González R, Moreno-Serna L, García-Cívico AJ, Sánchez-Martínez E, López-Sanz C, Fontes AL, Pimentel LL, Gradillas A, Obeso D, Neuhaus R, Ramírez-Huesca M, Ruiz-Fernández I, Nuñez-Borque E, Carrasco YR, Ibáñez B, Martín P, Blanco C, Barbas C, Barber D, Rodríguez-Alcalá LM, Villaseñor A, Esteban V, Sánchez-Madrid F, Jiménez-Saiz R. Allergic inflammation triggers dyslipidemia via IgG signalling. Allergy 2024; 79:2680-2699. [PMID: 38864116 DOI: 10.1111/all.16187] [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: 09/14/2023] [Revised: 05/02/2024] [Accepted: 05/04/2024] [Indexed: 06/13/2024]
Abstract
BACKGROUND Allergic diseases begin early in life and are often chronic, thus creating an inflammatory environment that may precede or exacerbate other pathologies. In this regard, allergy has been associated to metabolic disorders and with a higher risk of cardiovascular disease, but the underlying mechanisms remain incompletely understood. METHODS We used a murine model of allergy and atherosclerosis, different diets and sensitization methods, and cell-depleting strategies to ascertain the contribution of acute and late phase inflammation to dyslipidemia. Untargeted lipidomic analyses were applied to define the lipid fingerprint of allergic inflammation at different phases of allergic pathology. Expression of genes related to lipid metabolism was assessed in liver and adipose tissue at different times post-allergen challenge. Also, changes in serum triglycerides (TGs) were evaluated in a group of 59 patients ≥14 days after the onset of an allergic reaction. RESULTS We found that allergic inflammation induces a unique lipid signature that is characterized by increased serum TGs and changes in the expression of genes related to lipid metabolism in liver and adipose tissue. Alterations in blood TGs following an allergic reaction are independent of T-cell-driven late phase inflammation. On the contrary, the IgG-mediated alternative pathway of anaphylaxis is sufficient to induce a TG increase and a unique lipid profile. Lastly, we demonstrated an increase in serum TGs in 59 patients after undergoing an allergic reaction. CONCLUSION Overall, this study reveals that IgG-mediated allergic inflammation regulates lipid metabolism.
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Affiliation(s)
- Nieves Fernández-Gallego
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Department of Immunology, Instituto de Investigación Sanitaria Hospital Universitario de La Princesa (IIS-Princesa), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Raquel Castillo-González
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Department of Immunology, Ophthalmology and Ear, Nose and Throat (ENT), Universidad Complutense de Madrid, Madrid, Spain
| | - Lucía Moreno-Serna
- Department of Immunology, Instituto de Investigación Sanitaria Hospital Universitario de La Princesa (IIS-Princesa), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Antonio J García-Cívico
- Department of Basic Medical Sciences, Faculty of Medicine, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
- Centro de Metabolómica y Bioanálisis (CEMBIO), Faculty of Pharmacy, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Elisa Sánchez-Martínez
- Department of Immunology, Instituto de Investigación Sanitaria Hospital Universitario de La Princesa (IIS-Princesa), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Celia López-Sanz
- Department of Immunology, Instituto de Investigación Sanitaria Hospital Universitario de La Princesa (IIS-Princesa), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Ana Luiza Fontes
- CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Porto, Portugal
| | - Lígia L Pimentel
- CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Porto, Portugal
| | - Ana Gradillas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Faculty of Pharmacy, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - David Obeso
- Department of Basic Medical Sciences, Faculty of Medicine, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
- Centro de Metabolómica y Bioanálisis (CEMBIO), Faculty of Pharmacy, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - René Neuhaus
- Department of Basic Medical Sciences, Faculty of Medicine, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
- Centro de Metabolómica y Bioanálisis (CEMBIO), Faculty of Pharmacy, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | | | | | - Emilio Nuñez-Borque
- Department of Allergy and Immunology, Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD), Universidad Autónoma de Madrid (UAM), Madrid, Spain
| | - Yolanda R Carrasco
- Department of Immunology and Oncology, Centro Nacional de Biotecnología (CNB)-CSIC, Madrid, Spain
| | - Borja Ibáñez
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Department of Cardiology, Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD), Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Pilar Martín
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Carlos Blanco
- Department of Allergy, Instituto de Investigación Sanitaria Hospital Universitario de La Princesa (IIS-Princesa), Madrid, Spain
| | - Coral Barbas
- Centro de Metabolómica y Bioanálisis (CEMBIO), Faculty of Pharmacy, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Domingo Barber
- Department of Basic Medical Sciences, Faculty of Medicine, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Luis M Rodríguez-Alcalá
- CBQF-Centro de Biotecnologia e Química Fina-Laboratório Associado, Escola Superior de Biotecnologia, Universidade Católica Portuguesa, Porto, Portugal
| | - Alma Villaseñor
- Department of Basic Medical Sciences, Faculty of Medicine, Instituto de Medicina Molecular Aplicada (IMMA), Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
- Centro de Metabolómica y Bioanálisis (CEMBIO), Faculty of Pharmacy, Universidad San Pablo-CEU, CEU Universities, Madrid, Spain
| | - Vanesa Esteban
- Department of Allergy and Immunology, Instituto de Investigación Sanitaria Fundación Jiménez Díaz (IIS-FJD), Universidad Autónoma de Madrid (UAM), Madrid, Spain
- Faculty of Medicine and Biomedicine, Universidad Alfonso X El Sabio, Madrid, Spain
| | - Francisco Sánchez-Madrid
- Centro Nacional de Investigaciones Cardiovasculares (CNIC), Madrid, Spain
- Department of Immunology, Instituto de Investigación Sanitaria Hospital Universitario de La Princesa (IIS-Princesa), Universidad Autónoma de Madrid (UAM), Madrid, Spain
- CIBER de Enfermedades Cardiovasculares (CIBERCV), Instituto de Salud Carlos III, Madrid, Spain
| | - Rodrigo Jiménez-Saiz
- Department of Immunology, Instituto de Investigación Sanitaria Hospital Universitario de La Princesa (IIS-Princesa), Universidad Autónoma de Madrid (UAM), Madrid, Spain
- Department of Immunology and Oncology, Centro Nacional de Biotecnología (CNB)-CSIC, Madrid, Spain
- Department of Medicine, McMaster Immunology Research Centre (MIRC), Schroeder Allergy and Immunology Research Institute (SAIRI), McMaster University, Hamilton, Ontario, Canada
- Faculty of Experimental Sciences, Universidad Francisco de Vitoria (UFV), Madrid, Spain
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Della Pepa G, Patrício BG, Carli F, Sabatini S, Astiarraga B, Ferrannini E, Camastra S, Gastaldelli A. GLP-1 Receptor Agonist Treatment Improves Fasting and Postprandial Lipidomic Profiles Independently of Diabetes and Weight Loss. Diabetes 2024; 73:1605-1614. [PMID: 38976482 DOI: 10.2337/db23-0972] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/08/2023] [Accepted: 06/19/2024] [Indexed: 07/10/2024]
Abstract
Treatment with glucagon-like peptide 1 receptor agonists reduces liver steatosis and cardiometabolic risk (CMR). Few data are available on lipid metabolism, and no information is available on the postprandial lipidomic profile. Thus, we investigated how exenatide treatment changes lipid metabolism and composition during fasting and after a mixed-meal tolerance test (MMTT) in adults with severe obesity without diabetes. Thirty individuals (26 females and 4 males, 30-60 years old, BMI >40 kg/m2, HbA1c 5.76%) were assigned (1:1) to diet with exenatide 10 μg twice daily treatment (n = 15) or without treatment as control (n = 15) for 3 months. Fasting and postprandial lipidomic profile (by liquid chromatography quadrupole time-of-flight mass spectrometry) and fatty acid metabolism (following a 6-h MMTT/tracer study) and composition (by gas chromatography-mass spectrometry) were evaluated before and after treatment. Both groups had slight weight loss (-5.5% vs. -1.9%, exenatide vs. control; P = 0.052). During fasting, exenatide, compared with control, reduced some ceramides (CERs) and lysophosphatidylcholines (LPCs) previously associated with CMR, while relatively increasing unsaturated phospholipid species (phosphatidylcholine [PC], LPC) with protective effects on CMR, although concentrations of total lipid species were unchanged. During MMTT, both groups showed suppressed lipolysis equal to baseline, but exenatide significantly lowered free fatty acid clearance and postprandial triacyclglycerol (TAG) concentrations, particularly saturated TAGs with 44-54 carbons. Exenatide also reduced some postprandial CERs, PCs, and LPCs previously linked to CMR. These changes in lipidomic profile remained statistically significant after adjusting for weight loss. Exenatide improved fasting and postprandial lipidomic profiles associated with CMR mainly by reducing saturated postprandial TAGs and CERs independently of weight loss and diabetes. ARTICLE HIGHLIGHTS
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Affiliation(s)
| | - Bárbara G Patrício
- National Research Council, Institute of Clinical Physiology, Pisa, Italy
- Sant'Anna School of Advanced Studies, Pisa, Italy
| | - Fabrizia Carli
- National Research Council, Institute of Clinical Physiology, Pisa, Italy
| | - Silvia Sabatini
- National Research Council, Institute of Clinical Physiology, Pisa, Italy
| | - Brenno Astiarraga
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
- Pere Virgili Institute for Health Research, Terragona, Spain
- CIBER de Diabetes y Enfermedades Metabólicas Asociadas, Instituto de Salud Carlos III, Madrid, Spain
| | - Ele Ferrannini
- National Research Council, Institute of Clinical Physiology, Pisa, Italy
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Stefania Camastra
- Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy
| | - Amalia Gastaldelli
- National Research Council, Institute of Clinical Physiology, Pisa, Italy
- Sant'Anna School of Advanced Studies, Pisa, Italy
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Shi W, Zhou J, He J, Gao X, Li Z, Shao S, Chen Y. Mechanism of folium polygoni cuspidati in liver-yang-hyperactivity hypertension based on network pharmacology, molecular docking and experimental pharmacological validation. JOURNAL OF ETHNOPHARMACOLOGY 2024; 337:118763. [PMID: 39216773 DOI: 10.1016/j.jep.2024.118763] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/03/2024] [Revised: 08/14/2024] [Accepted: 08/28/2024] [Indexed: 09/04/2024]
Abstract
ETHNOPHARMACOLOGICAL RELEVANCE At present,the global form of hypertension is severe,and liver-yang-hyperactivity hypertension(GYSK hypertension)is the most common type of hypertension.Folium Polygoni Cuspidati(HZY)are mainly used in Yunnan, China,to treat dizziness, headache,and hypertension caused by GYSK,and the content of the active ingredients of HZY and its efficacy varies in different periods.However,the mechanism of action and the effect of harvesting period are not clear. AIM OF THE STUDY The purpose of this research was to investigate the effect of HZY in April and September on GYSK hypertension. MATERIALS AND METHODS The model of GYSK hypertension was established with aconite decoction and L-NAME,and the blood pressure,the symptoms of GYSK,the cardiac index and the pathological changes of aorta were observed,to study the effect of HZY in April and September on GYSK hypertension.The chemical composition of HZY was analysed by UPLC-QTOF-MS and its mechanism for the treatment of GYSK hypertension was predicted by network pharmacological studies and experimentally validated using serum metabolomics and Western blot techniques. RESULTS April HZY and September HZY can significantly improve the GYSK symptoms of rats, inhibit the RAAS system, improve oxidative stress and regulate blood lipids so as to play a blood pressure lowering efficacy and have a protective effect on the vascular endothelial cells.UPLC-QTOF-MS yielded 29 components of HZY,and network pharmacology predicted that its mechanism may be related to Lipid and atherosclerosis,PI3K/Akt signaling pathway, MAPK signaling pathway and TNF signaling pathway,etc.Western Blot validation showed that HZY activated PI3K,p-Akt protein expression and inhibited p-erk,p-p38 and TNF-α protein expression.Serum metabolomics suggested that April HZY exerts its efficacy mainly by regulating amino acid metabolism and September HZY mainly by regulating lipid metabolism. CONCLUSIONS In GYSK hypertensive rats treated for three weeks, both April HZY and September HZY could have antihypertensive effects,but the mechanisms of action were different and similar, both could regulate metabolite disorders of sugars, lipids,amino acids and peptides,and regulate blood pressure through the PI3K/Akt-eNOS and MAPK signalling pathways, with the difference that April HZY had stronger regulatory effects on the metabolism of amino acids.metabolism.
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Affiliation(s)
- Wenxin Shi
- School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China; Hubei Provincial Chinese Medicine Health Food Engineering Research Center, Wuhan, 430065, China; Hubei Shizhen Laboratory, Wuhan, 430065, China
| | | | - Jiang He
- School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China; Hubei Provincial Chinese Medicine Health Food Engineering Research Center, Wuhan, 430065, China; Hubei Shizhen Laboratory, Wuhan, 430065, China
| | - Xinyu Gao
- School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China; Hubei Provincial Chinese Medicine Health Food Engineering Research Center, Wuhan, 430065, China; Hubei Shizhen Laboratory, Wuhan, 430065, China
| | - Zhengheng Li
- School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China; Hubei Provincial Chinese Medicine Health Food Engineering Research Center, Wuhan, 430065, China; Hubei Shizhen Laboratory, Wuhan, 430065, China
| | - Shijuan Shao
- School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China; Hubei Provincial Chinese Medicine Health Food Engineering Research Center, Wuhan, 430065, China; Hubei Shizhen Laboratory, Wuhan, 430065, China
| | - Yunzhong Chen
- School of Pharmacy, Hubei University of Chinese Medicine, Wuhan, 430065, China; Hubei Provincial Chinese Medicine Health Food Engineering Research Center, Wuhan, 430065, China; Hubei Shizhen Laboratory, Wuhan, 430065, China.
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5
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Sun M, Liu W, Jiang H, Wu X, Zhang S, Liu H. Large-scale, comprehensive plasma metabolomic analyses reveal potential biomarkers for the diagnosis of early-stage coronary atherosclerosis. Clin Chim Acta 2024; 562:119832. [PMID: 38936535 DOI: 10.1016/j.cca.2024.119832] [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: 01/09/2024] [Revised: 06/11/2024] [Accepted: 06/23/2024] [Indexed: 06/29/2024]
Abstract
BACKGROUND Coronary atherosclerosis (CAS) is a prevalent and chronic life-threatening disease. However, the detection of CAS at an early stage is difficult because of the lack of effective noninvasive diagnostic methods. The present study aimed to characterize the plasma metabolome of early-stage CAS patients to discover metabolomic biomarkers, develop a novel metabolite-based model for accurate noninvasive diagnosis of early-stage CAS, and explore the underlying metabolic mechanisms involved. METHODS A total of 100 patients with early-stage CAS and 120 age- and sex-matched control subjects were recruited from the Chinese Han population and further randomly divided into training (n = 120) and test sets (n = 100). The metabolomic profiles of the plasma samples were analyzed by an integrated untargeted liquid chromatography-mass spectrometry approach, including two separation modes and two ionization modes. Univariate and multivariate statistical analyses were employed to identify potential biomarkers and construct an early-stage CAS diagnostic model. RESULTS The integrated analytical method established herein improved metabolite coverage compared with single chromatographic separation and MS ionization mode. A total of 80 metabolites were identified as potential biomarkers of early-stage CAS, and these metabolites were mainly involved in glycerophospholipid, fatty acid, sphingolipid, and amino acid metabolism. An effective diagnostic model for early-stage CAS was established, incorporating 11 metabolites and achieving areas under the receiver operating characteristic curve (AUCs) of 0.984 and 0.908 in the training and test sets, respectively. CONCLUSIONS Our study not only successfully developed an effective noninvasive diagnostic model for identifying early-stage CAS but also provided novel insights into the pathogenesis of CAS.
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Affiliation(s)
- Meng Sun
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China
| | - Wei Liu
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China
| | - Hao Jiang
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China
| | - Xiaoyan Wu
- Department of Epidemiology and Biostatistics, Guilin Medical University, Guilin 514499, PR China
| | - Shuo Zhang
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China.
| | - Haixia Liu
- Department of Cardiology, The Second Affiliated Hospital of Harbin Medical University, and The Key Laboratory of Myocardial Ischemia, Chinese Ministry of Education, Harbin 150086, PR China.
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Zhang Y, Gong J, Hu X, He L, Lin Y, Zhang J, Meng X, Zhang Y, Mo J, Day DB, Xiang J. Glycerophospholipid metabolism changes association with ozone exposure. JOURNAL OF HAZARDOUS MATERIALS 2024; 475:134870. [PMID: 38876019 DOI: 10.1016/j.jhazmat.2024.134870] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 04/15/2024] [Revised: 06/07/2024] [Accepted: 06/08/2024] [Indexed: 06/16/2024]
Abstract
Exposure to ozone (O3) has been associated with cardiovascular outcomes in humans, yet the underlying mechanisms of the adverse effect remain poorly understood. We aimed to investigate the association between O3 exposure and glycerophospholipid metabolism in healthy young adults. We quantified plasma concentrations of phosphatidylcholines (PCs) and lysophosphatidylcholines (lysoPCs) using a UPLC-MS/MS system. Time-weighted personal exposures were calculated to O3 and co-pollutants over 4 time windows, and we employed orthogonal partial least squares discriminant analysis to discern differences in lipids profiles between high and low O3 exposure. Linear mixed-effects models and mediation analysis were utilized to estimate the associations between O3 exposure, lipids, and cardiovascular physiology indicators. Forty-three healthy adults were included in this study, and the mean (SD) time-weighted personal exposures to O3 was 9.08 (4.06) ppb. With shorter exposure durations, O3 increases were associated with increasing PC and lysoPC levels; whereas at longer exposure times, the opposite relationship was shown. Furthermore, two specific lipids, namely lysoPC a C26:0 and lysoPC a C17:0, showed significantly positive mediating effects on associations of long-term O3 exposure with pulse wave velocity and systolic blood pressure, respectively. Alterations in specific lipids may underlie the cardiovascular effects of O3 exposure.
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Affiliation(s)
- Yi Zhang
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Jicheng Gong
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China.
| | - Xinyan Hu
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Linchen He
- College of Health, Lehigh University, Bethlehem, PA 19019, United States; Global Health Institute, Nicholas School of the Environment, Duke University, Durham, NC 27708, United States
| | - Yan Lin
- Global Health Institute, Nicholas School of the Environment, Duke University, Durham, NC 27708, United States
| | - Junfeng Zhang
- Global Health Institute, Nicholas School of the Environment, Duke University, Durham, NC 27708, United States
| | - Xin Meng
- SKL-ESPC & SEPKL-AERM, College of Environmental Sciences and Engineering, and Center for Environment and Health, Peking University, Beijing 100871, China
| | - Yinping Zhang
- Department of Building Science, Tsinghua University, Beijing 100084, China
| | - Jinhan Mo
- College of Civil and Transportation Engineering, Shenzhen University, Shenzhen 518060, China
| | - Drew B Day
- Seattle Children's Research Institute, Seattle, WA 98121, United States
| | - Jianbang Xiang
- School of Public Health, Sun Yat-Sen University, Shenzhen 518107, China
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7
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Lu J, Liu R, Ren H, Wang S, Hu C, Shi Z, Li M, Liu W, Wan Q, Su Q, Li Q, Zheng H, Qu S, Yang F, Ji H, Lin H, Qi H, Wu X, Wu K, Chen Y, Xu Y, Xu M, Wang T, Zheng J, Ning G, Zheng R, Bi Y, Zhong H, Wang W. Impact of omega-3 fatty acids on hypertriglyceridemia, lipidomics, and gut microbiome in patients with type 2 diabetes. MED 2024:S2666-6340(24)00306-4. [PMID: 39163858 DOI: 10.1016/j.medj.2024.07.024] [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: 12/05/2023] [Revised: 05/14/2024] [Accepted: 07/24/2024] [Indexed: 08/22/2024]
Abstract
BACKGROUND Fish oil (FO), a mixture of omega-3 fatty acids mainly comprising docosahexaenoic acid (DHA) and eicosapentaenoic acid (EPA), has been recommended for patients with type 2 diabetes (T2D) and hypertriglyceridemia. However, its effects on lipidomic profiles and gut microbiota and the factors influencing triglyceride (TG) reduction remain unclear. METHODS We conducted a 12-week, randomized, double-blind, placebo-controlled trial in 309 Chinese patients with T2D with hypertriglyceridemia (ClinicalTrials.gov: NCT03120299). Participants were randomly assigned (1:1) to receive either 4 g FO or corn oil for 12 weeks. The primary outcome was changes in serum TGs and the lipidomic profile, and the secondary outcome included changes in the gut microbiome and other metabolic variables. FINDINGS The FO group had significantly better TG reduction (mean [95% confidence interval (CI)]: -1.51 [-2.01, -1.01] mmol/L) compared to the corn oil group (-0.66 [-1.15, -0.16] mmol/L, p = 0.02). FO significantly altered the serum lipid profile by reducing low-unsaturated TG species and increasing those containing DHA or EPA. FO had minor effects on gut microbiota, while baseline microbial features predicted the TG response to FO better than phenotypic or lipidomic features, potentially mediated by specific lipid metabolites. A total of 9 lipid metabolites significantly mediated the link between 4 baseline microbial variables and the TG response to FO supplementation. CONCLUSIONS Our findings demonstrate differential impacts of omega-3 fatty acids on lipidomic and microbial profiles in T2D and highlight the importance of baseline gut microbiota characteristics in predicting the TG-lowering efficacy of FO. FUNDING This study was funded by the National Nature Science Foundation.
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Affiliation(s)
- Jieli Lu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruixin Liu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huahui Ren
- BGI Research, Shenzhen, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen, China
| | - Shuangyuan Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Chunyan Hu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Zhun Shi
- BGI Research, Shenzhen, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen, China
| | - Mian Li
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Wei Liu
- Department of Endocrinology, Renji Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qin Wan
- Department of Endocrine and Metabolic Diseases, The Affiliated Hospital of Southwest Medical University, Luzhou, China
| | - Qing Su
- Department of Endocrinology, Xinhua Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Qifu Li
- The First Affiliated Hospital of Chongqing Medical University, Chongqing, China
| | - Hongting Zheng
- Department of Endocrinology, Xinqiao Hospital, Third Military Medical University, Chongqing, China
| | - Shen Qu
- Department of Endocrinology and Metabolism, Shanghai Tenth People's Hospital, Tenth People's Hospital Affiliated to Tongji University, Shanghai, China
| | - Fangming Yang
- BGI Research, Shenzhen, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen, China
| | | | - Hong Lin
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Hongyan Qi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Xueyan Wu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Kui Wu
- BGI Research, Shenzhen, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen, China
| | - Yuhong Chen
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yu Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Min Xu
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Tiange Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Jie Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Guang Ning
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Ruizhi Zheng
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Yufang Bi
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China
| | - Huanzi Zhong
- BGI Research, Shenzhen, China; Institute of Intelligent Medical Research (IIMR), BGI Genomics, Shenzhen, China.
| | - Weiqing Wang
- Department of Endocrine and Metabolic Diseases, Shanghai Institute of Endocrine and Metabolic Diseases, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China; Shanghai National Clinical Research Center for Metabolic Diseases, Key Laboratory for Endocrine and Metabolic Diseases of the National Health Commission of the PR China, Shanghai Key Laboratory for Endocrine Tumor, State Key Laboratory of Medical Genomics, Ruijin Hospital, Shanghai Jiao Tong University School of Medicine, Shanghai, China.
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8
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Wu Y, Xing L, Lu L, Liu S, Zhao D, Lin L, Wang S, Li C, Pan Y. Alterations in the Salivary Microbiome and Metabolism in Patients With Carotid Atherosclerosis from Rural Northeast China. J Am Heart Assoc 2024; 13:e034014. [PMID: 39082416 DOI: 10.1161/jaha.123.034014] [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: 12/15/2023] [Accepted: 06/25/2024] [Indexed: 08/07/2024]
Abstract
BACKGROUND Periodontitis and atherosclerosis are both chronic inflammatory diseases with a high prevalence. Increasing evidence supports the independent association between severe periodontitis and atherosclerotic cardiovascular disease, in which oral microorganisms may play an important role. We aimed to evaluate the characteristic changes of salivary microbiome and metabolome in patients with carotid atherosclerosis (CAS) and periodontitis. METHODS AND RESULTS The subjects were obtained from a cross-sectional study that included 1933 participants aged 40 years or older from rural northeast China. The study enrolled 48 subjects with CAS and 48 controls without CAS matched by sex, age, body mass index, and prevalence of hypertension, diabetes, and dyslipidemia. We performed full-length 16S rDNA gene sequencing and untargeted metabolomics of saliva samples from 96 subjects. We found that CAS was closely associated with an increased abundance of Streptococcus, Lactobacillus, and Cutibacterium. Furthermore, patients with CAS had higher prevalence of severe periodontitis than the control group. Notably, periodontal pathogens such as Tannerella and Anaeroglobus were not only associated with periodontitis but also enriched in patients with CAS, whereas periodontal health-associated Neisseria was more abundant in those without CAS. We also identified 2 lipid metabolism pathways, including glycerophospholipid and sphingolipid metabolism, as associated with CAS. The levels of trimethylamine N-oxide and inflammatory mediator leukotriene D4 were significantly higher in patients with CAS, whereas the levels of carnosine were significantly lower, than those in controls. Additionally, serum levels of inflammatory marker high-sensitivity C-reactive protein were significantly increased in CAS and positively correlated with the abundance of Anaeroglobus and leukotriene D4 in saliva. CONCLUSIONS Our study suggests that characteristic changes in salivary microbiota and metabolites are closely related to CAS, and periodontitis and associated microorganisms may be involved in the initiation and progression of CAS.
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Affiliation(s)
- Yahong Wu
- Department of Periodontology, School and Hospital of Stomatology China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases Shenyang China
| | - Liying Xing
- Institute of Chronic Disease Liaoning Provincial Center for Disease Control and Prevention Shenyang China
| | - Lijie Lu
- Department of Periodontology, School and Hospital of Stomatology China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases Shenyang China
| | - Shuang Liu
- Department of Cardiovascular Ultrasound The Fourth Hospital of China Medical University Shenyang China
| | - Dan Zhao
- Department of Implant Dentistry, Beijing Stomatological Hospital Capital Medical University Beijing China
| | - Li Lin
- Department of Periodontology, School and Hospital of Stomatology China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases Shenyang China
| | - Songlin Wang
- Beijing Key Laboratory of Tooth Regeneration and Function Reconstruction, Beijing Laboratory of Oral Health and Beijing Stomatological Hospital Capital Medical University Beijing China
| | - Chen Li
- Department of Periodontology, School and Hospital of Stomatology China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases Shenyang China
| | - Yaping Pan
- Department of Periodontology, School and Hospital of Stomatology China Medical University, Liaoning Provincial Key Laboratory of Oral Diseases Shenyang China
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9
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Mouskeftara T, Deda O, Liapikos T, Panteris E, Karagiannidis E, Papazoglou AS, Gika H. Lipidomic-Based Algorithms Can Enhance Prediction of Obstructive Coronary Artery Disease. J Proteome Res 2024; 23:3598-3611. [PMID: 39008891 DOI: 10.1021/acs.jproteome.4c00249] [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] [Indexed: 07/17/2024]
Abstract
Lipidomics emerges as a promising research field with the potential to help in personalized risk stratification and improve our understanding on the functional role of individual lipid species in the metabolic perturbations occurring in coronary artery disease (CAD). This study aimed to utilize a machine learning approach to provide a lipid panel able to identify patients with obstructive CAD. In this posthoc analysis of the prospective CorLipid trial, we investigated the lipid profiles of 146 patients with suspected CAD, divided into two categories based on the existence of obstructive CAD. In total, 517 lipid species were identified, from which 288 lipid species were finally quantified, including glycerophospholipids, glycerolipids, and sphingolipids. Univariate and multivariate statistical analyses have shown significant discrimination between the serum lipidomes of patients with obstructive CAD. Finally, the XGBoost algorithm identified a panel of 17 serum biomarkers (5 sphingolipids, 7 glycerophospholipids, a triacylglycerol, galectin-3, glucose, LDL, and LDH) as totally sensitive (100% sensitivity, 62.1% specificity, 100% negative predictive value) for the prediction of obstructive CAD. Our findings shed light on dysregulated lipid metabolism's role in CAD, validating existing evidence and suggesting promise for novel therapies and improved risk stratification.
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Affiliation(s)
- Thomai Mouskeftara
- Laboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
- Biomic_AUTh, CIRI-AUTH Center for Interdisciplinary Research and Innovation Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
| | - Olga Deda
- Laboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
- Biomic_AUTh, CIRI-AUTH Center for Interdisciplinary Research and Innovation Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
| | - Theodoros Liapikos
- Biomic_AUTh, CIRI-AUTH Center for Interdisciplinary Research and Innovation Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
| | - Eleftherios Panteris
- Biomic_AUTh, CIRI-AUTH Center for Interdisciplinary Research and Innovation Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
| | - Efstratios Karagiannidis
- Second Department of Cardiology, General Hospital "Hippokration", Aristotle University of Thessaloniki, Konstantinoupoleos 49, 54642 Thessaloniki, Greece
| | | | - Helen Gika
- Laboratory of Forensic Medicine and Toxicology, School of Medicine, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece
- Biomic_AUTh, CIRI-AUTH Center for Interdisciplinary Research and Innovation Aristotle University of Thessaloniki, 57001 Thessaloniki, Greece
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10
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Wang W, Liu L, Qiu W, Chen C, Huang Y, Cai A, Nie Z, Ou Y, Zhu Y, Feng Y. The Non-Targeted Lipidomic-Based Classifier Reveals Two Candidate Biomarkers for Ischemic Stroke in Hypertensive Individuals. Risk Manag Healthc Policy 2024; 17:1889-1901. [PMID: 39100548 PMCID: PMC11297523 DOI: 10.2147/rmhp.s465135] [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: 02/21/2024] [Accepted: 07/11/2024] [Indexed: 08/06/2024] Open
Abstract
Introduction Traditional clinical risk factors are insufficient to estimate the residual risk of large-vessel ischemic stroke. Non-targeted lipidomic techniques provide an opportunity to evaluate these risks. Methods Plasma samples were collected from 113 hypertensive individuals, including 55 individuals at high risk of ischemic stroke and 58 matched individuals, in a prospective nested case-control cohort. To identify dysregulated lipid metabolites, we conducted multivariate and univariate analyses. A classifier based on a cross-validated procedure was employed to select the optimal combination of lipid species and their ratios. Results We identified 23 dysregulated lipid species in patients with and without ischemic stroke, including 16 (69.6%) up-regulated and 7 (30.4%) down-regulated lipid species. Through internal cross-validation, the optimal combination of two lipid features (phosphatidylcholine 34:2 and triglyceride 18:1/18:1/22:1 / phosphatidylcholine 34:2, referred to as ischemic stroke-related 2 lipid features - IS2LP) was selected, leading to a more precise prediction probability for ischemic stroke within 3.9 years. In the comparison of different risk factors, the traditional risk score, the IS2LP risk score, and the combination of the traditional risk score with IS2LP yield AUC values of 0.613(95% CI:0.509-0.717), 0.833(95% CI:0.755-0.911), and 0.843(95% CI:0.777-0.916), respectively. The combination of the traditional risk score and IS2LP exhibited significantly improved discriminative performance, with an integrated discrimination improvement (IDI) of 0.31 (p<0.001) and a continuous net reclassification improvement (NRI) of 1.06 (p < 0.001) compared to the traditional risk score. Conclusion We identified new lipidomic biomarkers associated with the futural event of large-vessel ischemic stroke. These lipid species could serve as potential blood biomarkers for assessing the residual risk of ischemic stroke in hypertensive individuals.
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Affiliation(s)
- Wenbin Wang
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
| | - Lin Liu
- Department of Medicine, The University of Hong Kong, Hong Kong, China
| | - Weida Qiu
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
| | - Chaolei Chen
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
| | - Yuqing Huang
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
| | - Anping Cai
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
| | - Zhiqiang Nie
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
| | - Yanqiu Ou
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
| | - Yicheng Zhu
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
| | - Yingqing Feng
- Department of Cardiology, Hypertension Research Laboratory, Guangdong Cardiovascular Institute, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Southern Medical University, Guangzhou, People’s Republic of China
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11
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Mourino-Alvarez L, Juarez-Alia C, Sastre-Oliva T, Perales-Sánchez I, Hernandez-Fernandez G, Chicano-Galvez E, Peralbo-Molina Á, Madruga F, Blanco-Lopez E, Tejerina T, Barderas MG. Dysregulation of Lipid Metabolism Serves as A Link Between Alzheimer's and Cardiovascular Disease, As Witnessed in A Cross-Sectional Study. Aging Dis 2024:AD.2024.0434. [PMID: 39012677 DOI: 10.14336/ad.2024.0434] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2024] [Accepted: 05/31/2024] [Indexed: 07/17/2024] Open
Abstract
Cardiovascular risk factors and established cardiovascular disease (CVD) increase the risk of suffering dementia of the Alzheimer's type (DAT). Here, we set out to define specific molecular profiles of CVD in patients with DAT to better understand its relationship, to unravel the mechanisms underlying the high risk of developing DAT in CVD patients and to define new markers of early disease. Plasma samples from patients with DAT, with and without CVD, were analyzed through a multiomics approach, with integration of metabolomics and proteomics datasets using the OmicsNet web-based tool. Metabolomics results showed an enrichment in lipids and lipid-like molecules. Similarly, the most significant cluster identified through proteomics was formed by 5 proteins related to lipoprotein and cholesterol metabolism. After integration and functional enrichment, glycerolipid metabolism, fatty acid degradation and sphingolipid metabolism were among the most significant functions. Finally, differential expression of ABCA1 and APOH proteins was verified, in an independent cohort also including controls and patients with CVD alone. Both proteins positively correlated with phospho-Tau (181), a classical hallmark of DAT. Different molecular profiles exist in patients with DAT, with and without CVD, with exacerbated alterations in patients in which DAT and CVD co-exist. This information may help to define biomarkers like ABCA1 and APOH that identify patients with cardiovascular dysfunction that are at high risk of developing DAT. Such markers will allow more personalized interventions to be selected, a further step towards precision medicine for individuals whose molecular profiles indicate a distinct response to the same management strategies.
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Affiliation(s)
- Laura Mourino-Alvarez
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, 45071 Toledo, Spain
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, IDISCAM, 45071 Toledo, Spain
| | - Cristina Juarez-Alia
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, 45071 Toledo, Spain
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, IDISCAM, 45071 Toledo, Spain
| | - Tamara Sastre-Oliva
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, 45071 Toledo, Spain
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, IDISCAM, 45071 Toledo, Spain
| | - Inés Perales-Sánchez
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, 45071 Toledo, Spain
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, IDISCAM, 45071 Toledo, Spain
| | - German Hernandez-Fernandez
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, 45071 Toledo, Spain
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, IDISCAM, 45071 Toledo, Spain
| | - Eduardo Chicano-Galvez
- IMIBIC Mass Spectrometry and Molecular Imaging Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba (UCO), Córdoba, Spain
| | - Ángela Peralbo-Molina
- IMIBIC Mass Spectrometry and Molecular Imaging Unit, Maimonides Biomedical Research Institute of Cordoba (IMIBIC), Reina Sofia University Hospital, University of Cordoba (UCO), Córdoba, Spain
| | - Felipe Madruga
- Departament of Geriatrics, Hospital Virgen del Valle, SESCAM, Toledo, Spain
| | - Emilio Blanco-Lopez
- Department of Cardiology, Ciudad Real General University Hospital, Ciudad Real, Spain
| | - Teresa Tejerina
- Department of Pharmacology, School of Medicine, Universidad Complutense de Madrid, Madrid, Spain
| | - María G Barderas
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, SESCAM, 45071 Toledo, Spain
- Department of Vascular Physiopathology, Hospital Nacional de Paraplejicos, IDISCAM, 45071 Toledo, Spain
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12
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Beyene HB, Huynh K, Wang T, Paul S, Cinel M, Mellett NA, Olshansky G, Meikle TG, Watts GF, Hung J, Hui J, Beilby J, Blangero J, Moses EK, Shaw JE, Magliano DJ, Giles C, Meikle PJ. Development and validation of a plasmalogen score as an independent modifiable marker of metabolic health: population based observational studies and a placebo-controlled cross-over study. EBioMedicine 2024; 105:105187. [PMID: 38861870 PMCID: PMC11215217 DOI: 10.1016/j.ebiom.2024.105187] [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: 02/12/2024] [Revised: 05/21/2024] [Accepted: 05/23/2024] [Indexed: 06/13/2024] Open
Abstract
BACKGROUND Decreased levels of circulating ethanolamine plasmalogens [PE(P)], and a concurrent increase in phosphatidylethanolamine (PE) are consistently reported in various cardiometabolic conditions. Here we devised, a plasmalogen score (Pls Score) that mirrors a metabolic signal that encompasses the levels of PE(P) and PE and captures the natural variation in circulating plasmalogens and perturbations in their metabolism associated with disease, diet, and lifestyle. METHODS We utilised, plasma lipidomes from the Australian Obesity, Diabetes and Lifestyle study (AusDiab; n = 10,339, 55% women) a nationwide cohort, to devise the Pls Score and validated this in the Busselton Health Study (BHS; n = 4,492, 56% women, serum lipidome) and in a placebo-controlled crossover trial involving Shark Liver Oil (SLO) supplementation (n = 10, 100% men). We examined the association of the Pls Score with cardiometabolic risk factors, type 2 diabetes mellitus (T2DM), cardiovascular disease and all-cause mortality (over 17 years). FINDINGS In a model, adjusted for age, sex and BMI, individuals in the top quintile of the Pls Score (Q5) relative to Q1 had an OR of 0.31 (95% CI 0.21-0.43), 0.39 (95% CI 0.25-0.61) and 0.42 (95% CI 0.30-0.57) for prevalent T2DM, incident T2DM and prevalent cardiovascular disease respectively, and a 34% lower mortality risk (HR = 0.66; 95% CI 0.56-0.78). Significant associations between diet and lifestyle habits and Pls Score exist and these were validated through dietary supplementation of SLO that resulted in a marked change in the Pls Score. INTERPRETATION The Pls Score as a measure that captures the natural variation in circulating plasmalogens, was not only inversely related to cardiometabolic risk and all-cause mortality but also associate with diet and lifestyle. Our results support the potential utility of the Pls Score as a biomarker for metabolic health and its responsiveness to dietary interventions. Further research is warranted to explore the underlying mechanisms and optimise the practical implementation of the Pls Score in clinical and population settings. FUNDING National Health and Medical Research Council (NHMRC grant 233200), National Health and Medical Research Council of Australia (Project grant APP1101320), Health Promotion Foundation of Western Australia, and National Health and Medical Research Council of Australia Senior Research Fellowship (#1042095).
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Affiliation(s)
- Habtamu B Beyene
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia
| | - Kevin Huynh
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, VIC, Australia
| | - Tingting Wang
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, VIC, Australia
| | - Sudip Paul
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Michelle Cinel
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia
| | | | | | - Thomas G Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia
| | - Gerald F Watts
- Medical School, University of Western Australia, Perth, WA, Australia; Cardiometabolic Service, Department of Cardiology and Internal Medicine, Royal Perth Hospital, Perth, WA, Australia
| | - Joseph Hung
- Medical School, University of Western Australia, Perth, WA, Australia
| | - Jennie Hui
- PathWest Laboratory Medicine of Western Australia, Queen Elizabeth II Medical Centre, Nedlands, WA, Australia; School of Population and Global Health, University of Western Australia, Crawley, WA, Australia
| | - John Beilby
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, Australia
| | - John Blangero
- South Texas Diabetes and Obesity Institute, The University of Texas Rio Grande Valley, Brownsville, TX, USA
| | - Eric K Moses
- School of Biomedical Sciences, University of Western Australia, Crawley, WA, Australia; Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Jonathan E Shaw
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Dianna J Magliano
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia
| | - Corey Giles
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, VIC, Australia.
| | - Peter J Meikle
- Baker Heart and Diabetes Institute, Melbourne, VIC, Australia; Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, VIC, Australia; Baker Department of Cardiovascular Research Translation and Implementation, La Trobe University, Melbourne, VIC, Australia; Baker Department of Cardiometabolic Health, Melbourne University, Melbourne, VIC, Australia.
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13
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Guerra IMS, Ferreira HB, Maurício T, Pinho M, Diogo L, Moreira S, Goracci L, Bonciarelli S, Melo T, Domingues P, Domingues MR, Moreira ASP. Plasma lipidomics analysis reveals altered profile of triglycerides and phospholipids in children with Medium-Chain Acyl-CoA dehydrogenase deficiency. J Inherit Metab Dis 2024; 47:731-745. [PMID: 38356271 DOI: 10.1002/jimd.12718] [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: 09/06/2023] [Revised: 01/24/2024] [Accepted: 01/26/2024] [Indexed: 02/16/2024]
Abstract
Medium-chain acyl-CoA dehydrogenase deficiency (MCADD) is the most prevalent mitochondrial fatty acid β-oxidation disorder. In this study, we assessed the variability of the lipid profile in MCADD by analysing plasma samples obtained from 25 children with metabolically controlled MCADD (following a normal diet with frequent feeding and under l-carnitine supplementation) and 21 paediatric control subjects (CT). Gas chromatography-mass spectrometry was employed for the analysis of esterified fatty acids, while high-resolution C18-liquid chromatography-mass spectrometry was used to analyse lipid species. We identified a total of 251 lipid species belonging to 15 distinct lipid classes. Principal component analysis revealed a clear distinction between the MCADD and CT groups. Univariate analysis demonstrated that 126 lipid species exhibited significant differences between the two groups. The lipid species that displayed the most pronounced variations included triacylglycerols and phosphatidylcholines containing saturated and monounsaturated fatty acids, specifically C14:0 and C16:0, which were found to be more abundant in MCADD. The observed changes in the plasma lipidome of children with non-decompensated MCADD suggest an underlying alteration in lipid metabolism. Therefore, longitudinal monitoring and further in-depth investigations are warranted to better understand whether such alterations are specific to MCADD children and their potential long-term impacts.
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Affiliation(s)
- Inês M S Guerra
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
- CESAM- Centre for Environmental and Marine Studies-, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - Helena B Ferreira
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
- CESAM- Centre for Environmental and Marine Studies-, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - Tatiana Maurício
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
- CESAM- Centre for Environmental and Marine Studies-, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - Marisa Pinho
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
- CESAM- Centre for Environmental and Marine Studies-, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - Luísa Diogo
- Reference Center for Hereditary Metabolic Diseases, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- European Reference Network for Hereditary Metabolic Diseases - MetabERN, Portugal
| | - Sónia Moreira
- Reference Center for Hereditary Metabolic Diseases, Centro Hospitalar e Universitário de Coimbra, Coimbra, Portugal
- European Reference Network for Hereditary Metabolic Diseases - MetabERN, Portugal
| | - Laura Goracci
- Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy
| | - Stefano Bonciarelli
- Department of Chemistry, Biology and Biotechnology, University of Perugia, Perugia, Italy
| | - Tânia Melo
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
- CESAM- Centre for Environmental and Marine Studies-, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - Pedro Domingues
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - M Rosário Domingues
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
- CESAM- Centre for Environmental and Marine Studies-, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
| | - Ana S P Moreira
- Mass Spectrometry Center, LAQV-REQUIMTE, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
- CESAM- Centre for Environmental and Marine Studies-, Department of Chemistry, University of Aveiro, Campus Universitário de Santiago, Aveiro, Portugal
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Sun P, Guo X, Ding E, Li C, Ren H, Xu Y, Qian J, Deng F, Shi W, Dong H, Lin EZ, Guo P, Fang J, Zhang Q, Zhao W, Tong S, Lu X, Pollitt KJG, Shi X, Tang S. Association between Personal Abiotic Airborne Exposures and Body Composition Changes among Healthy Adults (60-69 Years Old): A Combined Exposome-Wide and Lipidome Mediation Approach from the China BAPE Study. ENVIRONMENTAL HEALTH PERSPECTIVES 2024; 132:77005. [PMID: 39028628 PMCID: PMC11259245 DOI: 10.1289/ehp13865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 05/25/2024] [Accepted: 06/24/2024] [Indexed: 07/21/2024]
Abstract
BACKGROUND Evidence suggested that abiotic airborne exposures may be associated with changes in body composition. However, more evidence is needed to identify key pollutants linked to adverse health effects and their underlying biomolecular mechanisms, particularly in sensitive older adults. OBJECTIVES Our research aimed to systematically assess the relationship between abiotic airborne exposures and changes in body composition among healthy older adults, as well as the potential mediating mechanisms through the serum lipidome. METHODS From September 2018 to January 2019, we conducted a monthly survey among 76 healthy adults (60-69 years old) in the China Biomarkers of Air Pollutant Exposure (BAPE) study, measuring their personal exposures to 632 abiotic airborne pollutions using MicroPEM and the Fresh Air wristband, 18 body composition indicators from the InBody 770 device, and lipidomics from venous blood samples. We used an exposome-wide association study (ExWAS) and deletion/substitution/addition (DSA) model to unravel complex associations between exposure to contaminant mixtures and body composition, a Bayesian kernel machine regression (BKMR) model to assess the overall effect of key exposures on body composition, and mediation analysis to identify lipid intermediators. RESULTS The ExWAS and DSA model identified that 2,4,5-T methyl ester (2,4,5-TME), 9,10-Anthracenedione (ATQ), 4b,8-dimethyl-2-isopropylphenanthrene, and 4b,5,6,7,8,8a,9,10-octahydro-(DMIP) were associated with increased body fat mass (BFM), fat mass indicators (FMI), percent body fat (PBF), and visceral fat area (VFA) in healthy older adults [Bonferroni-Hochberg false discovery rate ( FD R BH ) < 0.05 ]. The BKMR model demonstrated a positive correlation between contaminants (anthracene, ATQ, copaene, di-epi-α -cedrene, and DMIP) with VFA. Mediation analysis revealed that phosphatidylcholine [PC, PC(16:1e/18:1), PC(16:2e/18:0)] and sphingolipid [SM, SM(d18:2/24:1)] mediated a significant portion, ranging from 12.27% to 26.03% (p-value < 0.05 ), of the observed increase in VFA. DISCUSSION Based on the evidence from multiple model results, ATQ and DMIP were statistically significantly associated with the increased VFA levels of healthy older adults, potentially regulated through lipid intermediators. These findings may have important implications for identifying potentially harmful environmental chemicals and developing targeted strategies for the control and prevention of chronic diseases in the future, particularly as the global population is rapidly aging. https://doi.org/10.1289/EHP13865.
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Affiliation(s)
- Peijie Sun
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Toxicology, School of Public Health, China Medical University, Shenyang, China
| | - Xiaojie Guo
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, Guangdong, China
| | - Enmin Ding
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Population Medicine and Public Health, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China
| | - Chenfeng Li
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Occupational Health and Environment Health, School of Public Health, Anhui Medical University, Hefei, Anhui, China
| | - Huimin Ren
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Toxicology, School of Public Health, China Medical University, Shenyang, China
| | - Yibo Xu
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Epidemiology, School of Public Health, China Medical University, Shenyang, China
| | - Jiankun Qian
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Department of Toxicology, School of Public Health, China Medical University, Shenyang, China
| | - Fuchang Deng
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Wanying Shi
- Department of Epidemiology and Health Statistics, School of Public Health, Capital Medical University, and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China
| | - Haoran Dong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Elizabeth Z. Lin
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA
| | - Pengfei Guo
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA
| | - Jianlong Fang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Qian Zhang
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
| | - Wenhua Zhao
- Chinese Center for Disease Control and Prevention, National Institute for Nutrition and Health, Beijing, China
| | - Shilu Tong
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- School of Public Health and Social Work, Queensland University of Technology, Brisbane, Australia
| | - Xiaobo Lu
- Department of Toxicology, School of Public Health, China Medical University, Shenyang, China
| | - Krystal J. Godri Pollitt
- Department of Environmental Health Sciences, Yale School of Public Health, New Haven, Connecticut, USA
| | - Xiaoming Shi
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
| | - Song Tang
- China CDC Key Laboratory of Environment and Population Health, National Institute of Environmental Health, Chinese Center for Disease Control and Prevention, Beijing, China
- Center for Global Health, School of Public Health, Nanjing Medical University, Nanjing, Jiangsu, China
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15
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Chen X, Zheng Z, Xie D, Xia L, Chen Y, Dong H, Feng Y. Serum lipid metabolism characteristics and potential biomarkers in patients with unilateral sudden sensorineural hearing loss. Lipids Health Dis 2024; 23:205. [PMID: 38951804 PMCID: PMC11218322 DOI: 10.1186/s12944-024-02189-8] [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: 12/22/2023] [Accepted: 06/16/2024] [Indexed: 07/03/2024] Open
Abstract
BACKGROUND Glycerophospholipids (GPLs) are essential for cell membrane structure and function. Sphingomyelin and its metabolites regulate cell growth, apoptosis, and stress responses. This study aimed to investigate lipid metabolism in patients experiencing sudden sensorineural hearing loss across all frequencies (AF-SSNHL). METHODS The study included 60 patients diagnosed with unilateral AF-SSNHL, among whom 30 patients had a level of hearing improvement ≥ 15 dB after 6 months of follow-up. A propensity score-matched (2:1) control group was used. Liquid chromatography‒mass spectrometry based untargeted lipidomics analysis combined with multivariate statistics was performed to investigate the lipids change. The "lipidome" R package and weighted gene co-expression network analysis (WGCNA) were utilised to assess the lipids' structural features and the association between lipids and hearing. RESULTS Lipidomics successfully differentiated the AF-SSNHL group from the control group, identifying 17 risk factors, mainly including phosphatidylcholine (PC), phosphatidylethanolamine (PE), and related metabolites. The ratios of lysophosphatidylcholine/PC, lysophosphatidylethanolamine/PE, and lysodimethylphosphatidylethanolamine/PE were upregulated, while some glycerophospholipid (GPL)-plasmalogens were downregulated in the AF-SSNHL group, indicating abnormal metabolism of GPLs. Trihexosylceramide (d34:1), PE (18:1e_22:5), and sphingomyelin (d40:3) were significantly different between responders and nonresponders, and positively correlated with hearing improvement. Additionally, the results of the WGCNA also suggested that partial GPL-plasmalogens were positively associated with hearing improvement. CONCLUSION AF-SSNHL patients exhibited abnormally high blood lipids and pronounced GPLs metabolic abnormalities. Sphingolipids and GPL-plasmalogens had an association with the level of hearing improvement. By understanding the lipid changes, clinicians may be able to predict the prognosis of hearing recovery and personalize treatment approaches.
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Affiliation(s)
- Xiaoyan Chen
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, 600 Yishan Road, Xuhui District, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Zhong Zheng
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, 600 Yishan Road, Xuhui District, Shanghai, China
- Department of Otolaryngology Head and Neck Surgery, Xijing Hospital, Fourth Military Medical University, Xi'an, Shaanxi Province, China
| | - Daoyu Xie
- Department of Otolaryngology-Head and Neck Surgery, Affiliated Hospital of Hangzhou Normal University, Hangzhou, Zhejiang Province, China
| | - Liang Xia
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, 600 Yishan Road, Xuhui District, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Yi Chen
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, 600 Yishan Road, Xuhui District, Shanghai, China
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China
| | - Hongjun Dong
- Department of Otolaryngology-Head and Neck Surgery, Zhangjiagang TCM Hospital, Affiliated to Nanjing University of Chinese Medicine, Zhangjiagang, Jiangsu Province, China.
| | - Yanmei Feng
- Department of Otolaryngology-Head and Neck Surgery, Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, 600 Yishan Road, Xuhui District, Shanghai, China.
- Shanghai Key Laboratory of Sleep Disordered Breathing, Shanghai, China.
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16
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Zhou YF, Ye YX, Chen JX, Zhang YB, Wang Y, Lu Q, Geng T, Liu G, Pan A. Circulating metabolic biomarkers and risk of new-onset hypertension: findings from the UK Biobank. J Hypertens 2024; 42:1066-1074. [PMID: 38690905 DOI: 10.1097/hjh.0000000000003697] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/03/2024]
Abstract
OBJECTIVE The evidence regarding the associations of circulating metabolic biomarkers with hypertension risk is scarce. We aimed to examine the associations between circulating metabolites and risk of hypertension. METHODS We included 49 422 individuals free of hypertension at baseline with a mean (SD) age of 53.5 (8.0) years from the UK Biobank. Nuclear magnetic resonance spectroscopy was used to quantify 143 individual metabolites. Multivariable-adjusted Cox regression models were used to estimate hazard ratios and 95% confidence intervals (CIs). RESULTS During a mean (SD) follow-up of 11.2 (1.8) years, 2686 incident hypertension cases occurred. Out of 143 metabolites, 76 were associated with incident hypertension, among which phenylalanine (hazard ratio: 1.40; 95% CI: 1.24-1.58) and apolipoprotein A1 (hazard ratio: 0.76; 95% CI: 0.66-0.87) had the strongest association when comparing the highest to the lowest quintile. In general, very-low-density lipoprotein (VLDL) particles were positively, whereas high-density lipoprotein (HDL) particles were inversely associated with risk of hypertension. Similar patterns of cholesterol, phospholipids, and total lipids within VLDL and HDL particles were observed. Triglycerides within all lipoproteins were positively associated with hypertension risk. Other metabolites showed significant associations with risk of hypertension included amino acids, fatty acids, ketone bodies, fluid balance and inflammation markers. Adding 10 selected metabolic biomarkers to the traditional hypertension risk model modestly improved discrimination (C-statistic from 0.745 to 0.752, P < 0.001) for prediction of 10-year hypertension incidence. CONCLUSION Among UK adults, disturbances in metabolic biomarkers are associated with incident hypertension. Comprehensive metabolomic profiling may provide potential novel biomarkers to identify high-risk individuals.
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Affiliation(s)
- Yan-Feng Zhou
- Department of Social Medicine, School of Public Health, Guangxi Medical University, Nanning, Guangxi Province
| | - Yi-Xiang Ye
- Department of Epidemiology and Biostatistics
| | | | | | - Yi Wang
- Department of Epidemiology and Biostatistics
| | - Qi Lu
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | | | - Gang Liu
- Department of Nutrition and Food Hygiene, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei Province, China
| | - An Pan
- Department of Epidemiology and Biostatistics
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17
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Chen Z, Li W, Zhang H, Huang X, Tao Y, Lang K, Zeng Q, Chen W, Wang D. Serum metabolome perturbation in relation to noise exposure: Exploring the potential role of serum metabolites in noise-induced arterial stiffness. ENVIRONMENTAL POLLUTION (BARKING, ESSEX : 1987) 2024; 349:123945. [PMID: 38604306 DOI: 10.1016/j.envpol.2024.123945] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/24/2023] [Revised: 03/28/2024] [Accepted: 04/07/2024] [Indexed: 04/13/2024]
Abstract
Noise pollution has grown to be a major public health issue worldwide. We sought to profile serum metabolite expression changes related to occupational noise exposure by untargeted metabolomics, as well as to evaluate the potential roles of serum metabolites in occupational noise-associated arterial stiffness (AS). Our study involved 30 noise-exposed industrial personnel (Lipo group) and 30 noise-free controls (Blank group). The untargeted metabolomic analysis was performed by employing a UPLC-HRMS. The associations of occupational noise and significant differential metabolites (between Blank/Lipo groups) with AS were evaluated using multivariable-adjusted generalized linear models. We performed the least absolute shrinkage and selection operator regression analysis to further screen for AS's risk metabolites. We explored 177 metabolites across 21 categories significantly differentially expressed between Blank/Lipo groups, and these metabolites were enriched in 20 metabolic pathways. Moreover, 15 metabolites in 4 classes (including food, glycerophosphocholine, sphingomyelin [SM] and triacylglycerols [TAG]) were adversely associated with AS (all P < 0.05). Meanwhile, five metabolites (homostachydrine, phosphatidylcholine (PC) (32:1e), PC (38:6p), SM (d41:2) and TAG (45:1) have been proven to be useful predictors of AS prevalence. However, none of these 15 metabolites were found to have a mediating influence on occupational noise-induced AS. Our study reveals specific metabolic changes caused by occupational noise exposure, and several metabolites may have protective effects on AS. However, the roles of serum metabolites in noise-AS association remain to be validated in future studies.
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Affiliation(s)
- Zhaomin Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Wenzhen Li
- Jockey Club School of Public Health and Primary Care, The Chinese University of Hong Kong, Hong Kong, China; Shenzhen Research Institute of the Chinese University of Hong Kong, Shenzhen, China
| | - Haozhe Zhang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Xuezan Huang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Yueqing Tao
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Kaiji Lang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Qiang Zeng
- Tianjin Centers for Disease Control and Prevention, Tianjin, 300000, China
| | - Weihong Chen
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China
| | - Dongming Wang
- Department of Occupational and Environmental Health, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China; Key Laboratory of Environment and Health, Ministry of Education & Ministry of Environmental Protection, and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, 430030, China.
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18
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Mu X, Yu H, Li H, Feng L, Ta N, Ling L, Bai L, A R, Borjigidai A, Pan Y, Fu M. Metabolomics analysis reveals the effects of Salvia Miltiorrhiza Bunge extract on ameliorating acute myocardial ischemia in rats induced by isoproterenol. Heliyon 2024; 10:e30488. [PMID: 38737264 PMCID: PMC11088323 DOI: 10.1016/j.heliyon.2024.e30488] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/06/2023] [Revised: 04/10/2024] [Accepted: 04/28/2024] [Indexed: 05/14/2024] Open
Abstract
Salvia miltiorrhiza Bunge (SM) is a widespread herbal therapy for myocardial ischemia (MI). Nevertheless, the therapeutic signaling networks of SM extract on MI is yet unknown. Emerging evidences suggested that alterations in cardiac metabolite influences host metabolism and accelerates MI progression. Herein, we employed an isoproterenol (ISO)-induced acute myocardial ischemia (AMI) rat model to confirm the pharmacological effects of SM extract (0.8, 0.9, 1.8 g/kg/day) via assessment of the histopathological alterations that occur within the heart tissue and associated cytokines; we also examined the underlying SM extract-mediated signaling networks using untargeted metabolomics. The results indicated that 25 compounds with a relative content higher than 1 % in SM aqueous extract were identified using LC-MS/MS analysis, which included salvianolic acid B, lithospermic acid, salvianolic acid A, and caffeic acid as main components. An in vivo experiment showed that pretreatment with SM extract attenuated ISO-induced myocardial injury, shown as decreased myocardial ischemic size, transformed electrocardiographic, histopathological, and serum biochemical aberrations, reduced levels of proinflammatory cytokines, inhibited oxidative stress (OS), and reversed the trepidations of the cardiac tissue metabolic profiles. Metabolomics analysis shows that the levels of 24 differential metabolites (DMs) approached the same value as controls after SM extract therapy, which were primarily involved in histidine; alanine, aspartate, and glutamate; glycerophospholipid; and glycine, serine, and threonine metabolisms through metabolic pathway analysis. Correlation analysis demonstrated that the levels of modulatory effects of SM extract on the inflammation and OS were related to alterations in endogenous metabolites. Overall, SM extract demonstrated significant cardioprotective effects in an ISO-induced AMI rat model, alleviating myocardial injury, inflammation and oxidative stress, with metabolomics analysis indicating potential therapeutic pathways for myocardial ischemia.
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Affiliation(s)
- Xiyele Mu
- Engineering Research Center of Tropical Medicine Innovation and Transformation of Ministry of Education, Hainan Provincial Key Laboratory for Research and Development of Tropical Herbs, School of Pharmacy, Hainan Medical University, Haikou 571199, China
- NMPA Key Laboratory of Quality Control of Traditional Chinese Medicine (Mongolian Medicine), School of Mongolian Medicine, Inner Mongolia Minzu University, Tongliao 028000, China
| | - Hongzhen Yu
- Engineering Research Center of Tropical Medicine Innovation and Transformation of Ministry of Education, Hainan Provincial Key Laboratory for Research and Development of Tropical Herbs, School of Pharmacy, Hainan Medical University, Haikou 571199, China
- Key Laboratory of Ethnomedicine of Ministry of Education, Center on Translational Neuroscience, School of Pharmacy, Minzu University of China, Beijing, 100081, China
| | - Huifang Li
- NMPA Key Laboratory of Quality Control of Traditional Chinese Medicine (Mongolian Medicine), School of Mongolian Medicine, Inner Mongolia Minzu University, Tongliao 028000, China
| | - Lan Feng
- NMPA Key Laboratory of Quality Control of Traditional Chinese Medicine (Mongolian Medicine), School of Mongolian Medicine, Inner Mongolia Minzu University, Tongliao 028000, China
| | - Na Ta
- NMPA Key Laboratory of Quality Control of Traditional Chinese Medicine (Mongolian Medicine), School of Mongolian Medicine, Inner Mongolia Minzu University, Tongliao 028000, China
| | - Ling Ling
- NMPA Key Laboratory of Quality Control of Traditional Chinese Medicine (Mongolian Medicine), School of Mongolian Medicine, Inner Mongolia Minzu University, Tongliao 028000, China
| | - Li Bai
- Engineering Research Center of Tropical Medicine Innovation and Transformation of Ministry of Education, Hainan Provincial Key Laboratory for Research and Development of Tropical Herbs, School of Pharmacy, Hainan Medical University, Haikou 571199, China
- NMPA Key Laboratory of Quality Control of Traditional Chinese Medicine (Mongolian Medicine), School of Mongolian Medicine, Inner Mongolia Minzu University, Tongliao 028000, China
| | - Rure A
- Engineering Research Center of Tropical Medicine Innovation and Transformation of Ministry of Education, Hainan Provincial Key Laboratory for Research and Development of Tropical Herbs, School of Pharmacy, Hainan Medical University, Haikou 571199, China
- NMPA Key Laboratory of Quality Control of Traditional Chinese Medicine (Mongolian Medicine), School of Mongolian Medicine, Inner Mongolia Minzu University, Tongliao 028000, China
| | - Almaz Borjigidai
- Key Laboratory of Ethnomedicine of Ministry of Education, Center on Translational Neuroscience, School of Pharmacy, Minzu University of China, Beijing, 100081, China
| | - Yipeng Pan
- Department of Transplantation, The Second Affiliated Hospital of Hainan Medical University, Haikou, Hainan 570100, China
| | - Minghai Fu
- Engineering Research Center of Tropical Medicine Innovation and Transformation of Ministry of Education, Hainan Provincial Key Laboratory for Research and Development of Tropical Herbs, School of Pharmacy, Hainan Medical University, Haikou 571199, China
- NMPA Key Laboratory of Quality Control of Traditional Chinese Medicine (Mongolian Medicine), School of Mongolian Medicine, Inner Mongolia Minzu University, Tongliao 028000, China
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19
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Morita SY. Phospholipid biomarkers of coronary heart disease. J Pharm Health Care Sci 2024; 10:23. [PMID: 38734675 PMCID: PMC11088770 DOI: 10.1186/s40780-024-00344-y] [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: 03/28/2024] [Accepted: 05/07/2024] [Indexed: 05/13/2024] Open
Abstract
Coronary heart disease, also known as ischemic heart disease, is induced by atherosclerosis, which is initiated by subendothelial retention of lipoproteins. Plasma lipoproteins, including high density lipoprotein, low density lipoprotein (LDL), very low density lipoprotein, and chylomicron, are composed of a surface monolayer containing phospholipids and cholesterol and a hydrophobic core containing triglycerides and cholesteryl esters. Phospholipids play a crucial role in the binding of apolipoproteins and enzymes to lipoprotein surfaces, thereby regulating lipoprotein metabolism. High LDL-cholesterol is a well-known risk factor for coronary heart disease, and statins reduce the risk of coronary heart disease by lowering LDL-cholesterol levels. In contrast, the relationships of phospholipids in plasma lipoproteins with coronary heart disease have not yet been established. To further clarify the physiological and pathological roles of phospholipids, we have developed the simple high-throughput assays for quantifying all major phospholipid classes, namely phosphatidylcholine, phosphatidylethanolamine, phosphatidylserine, phosphatidic acid, phosphatidylinositol, phosphatidylglycerol + cardiolipin, and sphingomyelin, using combinations of specific enzymes and a fluorogenic probe. These enzymatic fluorometric assays will be helpful in elucidating the associations between phospholipid classes in plasma lipoproteins and coronary heart disease and in identifying phospholipid biomarkers. This review describes recent progress in the identification of phospholipid biomarkers of coronary heart disease.
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Affiliation(s)
- Shin-Ya Morita
- Department of Pharmacotherapeutics, Shiga University of Medical Science, Otsu, Shiga, 520-2192, Japan.
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20
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Dugani SB, Moorthy MV, Demler OV, Li C, Ridker PM, Glynn RJ, Mora S. Plasma Biomarker Profiles for Premature and Nonpremature Coronary Heart Disease in Women. Clin Chem 2024; 70:768-779. [PMID: 38472127 PMCID: PMC11062763 DOI: 10.1093/clinchem/hvae007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2023] [Accepted: 12/18/2023] [Indexed: 03/14/2024]
Abstract
BACKGROUND Premature coronary heart disease (CHD) is a major cause of death in women. We aimed to characterize biomarker profiles of women who developed CHD before and after age 65 years. METHODS In the Women's Health Study (median follow-up 21.5 years), women were grouped by age and timing of incident CHD: baseline age <65 years with premature CHD by age 65 years (25 042 women; 447 events) and baseline age ≥65 years with nonpremature CHD (2982 women; 351 events). Associations of 44 baseline plasma biomarkers measured using standard assays and a nuclear magnetic resonance (NMR)-metabolomics assay were analyzed using Cox models adjusted for clinical risk factors. RESULTS Twelve biomarkers showed associations only with premature CHD and included lipoprotein(a), which was associated with premature CHD [adjusted hazard ratio (HR) per SD: 1.29 (95% CI 1.17-1.42)] but not with nonpremature CHD [1.09(0.98-1.22)](Pinteraction = 0.02). NMR-measured lipoprotein insulin resistance was associated with the highest risk of premature CHD [1.92 (1.52-2.42)] but was not associated with nonpremature CHD (Pinteraction <0.001). Eleven biomarkers showed stronger associations with premature vs nonpremature CHD, including apolipoprotein B. Nine NMR biomarkers showed no association with premature or nonpremature CHD, whereas 12 biomarkers showed similar significant associations with premature and nonpremature CHD, respectively, including low-density lipoprotein (LDL) cholesterol [1.30(1.20-1.45) and 1.22(1.10-1.35)] and C-reactive protein [1.34(1.19-1.50) and 1.25(1.08-1.44)]. CONCLUSIONS In women, a profile of 12 biomarkers was selectively associated with premature CHD, driven by lipoprotein(a) and insulin-resistant atherogenic dyslipoproteinemia. This has implications for the development of biomarker panels to screen for premature CHD.
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Affiliation(s)
- Sagar B Dugani
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Boston, MA, United States
- Division of Hospital Internal Medicine, Mayo Clinic, Rochester, MN, United States
- Division of Health Care Delivery Research, Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN, United States
| | - M Vinayaga Moorthy
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Boston, MA, United States
- Divisions of Preventive and Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Olga V Demler
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Boston, MA, United States
- Divisions of Preventive and Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Chunying Li
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Boston, MA, United States
- Divisions of Preventive and Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Paul M Ridker
- Divisions of Preventive and Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Robert J Glynn
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Boston, MA, United States
- Divisions of Preventive and Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
| | - Samia Mora
- Center for Lipid Metabolomics, Brigham and Women’s Hospital, Boston, MA, United States
- Divisions of Preventive and Cardiovascular Medicine, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, United States
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21
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Lahiri SK, Jin F, Zhou Y, Quick AP, Kramm CF, Wang MC, Wehrens XH. Altered myocardial lipid regulation in junctophilin-2-associated familial cardiomyopathies. Life Sci Alliance 2024; 7:e202302330. [PMID: 38438248 PMCID: PMC10912815 DOI: 10.26508/lsa.202302330] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Revised: 02/22/2024] [Accepted: 02/23/2024] [Indexed: 03/06/2024] Open
Abstract
Myocardial lipid metabolism is critical to normal heart function, whereas altered lipid regulation has been linked to cardiac diseases including cardiomyopathies. Genetic variants in the JPH2 gene can cause hypertrophic cardiomyopathy (HCM) and, in some cases, dilated cardiomyopathy (DCM). In this study, we tested the hypothesis that JPH2 variants identified in patients with HCM and DCM, respectively, cause distinct alterations in myocardial lipid profiles. Echocardiography revealed clinically significant cardiac dysfunction in both knock-in mouse models of cardiomyopathy. Unbiased myocardial lipidomic analysis demonstrated significantly reduced levels of total unsaturated fatty acids, ceramides, and various phospholipids in both mice with HCM and DCM, suggesting a common metabolic alteration in both models. On the contrary, significantly increased di- and triglycerides, and decreased co-enzyme were only found in mice with HCM. Moreover, mice with DCM uniquely exhibited elevated levels of cholesterol ester. Further in-depth analysis revealed significantly altered metabolites from all the lipid classes with either similar or opposing trends in JPH2 mutant mice with HCM or DCM. Together, these studies revealed, for the first time, unique alterations in the cardiac lipid composition-including distinct increases in neutral lipids and decreases in polar membrane lipids-in mice with HCM and DCM were caused by distinct JPH2 variants. These studies may aid the development of novel biomarkers or therapeutics for these inherited disorders.
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Affiliation(s)
- Satadru K Lahiri
- https://ror.org/02pttbw34 Cardiovascular Research Institute, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, USA
| | - Feng Jin
- https://ror.org/02pttbw34 Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
| | - Yue Zhou
- https://ror.org/02pttbw34 Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA
| | - Ann P Quick
- https://ror.org/02pttbw34 Cardiovascular Research Institute, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, USA
| | - Carlos F Kramm
- https://ror.org/02pttbw34 Cardiovascular Research Institute, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, USA
| | - Meng C Wang
- https://ror.org/02pttbw34 Molecular and Human Genetics, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Huffington Center on Aging, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Howard Hughes Medical Institute, Baylor College of Medicine, Houston, TX, USA
| | - Xander Ht Wehrens
- https://ror.org/02pttbw34 Cardiovascular Research Institute, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Department of Integrative Physiology, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Department of Medicine, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Department of Neuroscience, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Department of Pediatrics, Baylor College of Medicine, Houston, TX, USA
- https://ror.org/02pttbw34 Center for Space Medicine, Baylor College of Medicine, Houston, TX, USA
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22
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Della Pepa G, Carli F, Sabatini S, Pezzica S, Russo M, Vitale M, Masulli M, Riccardi G, Rivellese AA, Vaccaro O, Bozzetto L, Gastaldelli A. Clusters of adipose tissue dysfunction in adults with type 2 diabetes identify those with worse lipidomic profile despite similar glycaemic control. Diabetes Metab Res Rev 2024; 40:e3798. [PMID: 38558269 DOI: 10.1002/dmrr.3798] [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: 07/18/2023] [Revised: 10/30/2023] [Accepted: 12/31/2023] [Indexed: 04/04/2024]
Abstract
AIMS To investigate clusters of adipose tissue dysfunction, that is, with adipose tissue insulin resistance (ADIPO-IR) and large waist circumference (WC), identify a worse lipidomic profile characterised by a high proportion of lipids rich in saturated fatty acids (SFA). MATERIALS AND METHODS Hierarchical clustering based on WC and ADIPO-IR (calculated as fasting plasma non-esterified fatty acids times fasting plasma insulin, FFA×INS), was performed in 192 adults with overweight/obesity and type 2 diabetes (T2D) treated with metformin (HbA1c = 7.8%). Free fatty acid composition and lipidomic profile were measured by mass spectrometry (GC-MS and LC-MSQTOF). Indexes of fatty acid desaturation (stearoyl-coA desaturase-1 activity, SCD116 = palmitoleic acid/palmitic acid and SCD118 = oleic acid/stearic acid) and of insulin resistance (HOMA-IR) were also calculated. RESULTS Three clusters were identified: CL1 (ADIPO-IR = 4.9 ± 2.4 and WC = 96±7 cm, mean ± SD), CL2 (ADIPO-IR = 6.5 ± 2.5 and WC = 114 ± 7 cm), and CL3 (ADIPO-IR = 15.0 ± 4.7 and WC = 107 ± 8 cm). Insulin concentrations, ADIPO-IR, and HOMA-IR significantly increased from CL1 to CL3 (all p < 0.001), while fasting glucose concentrations, HbA1c, dietary lipids and caloric intake were similar. Moreover, CL3 showed significantly higher concentrations of monounsaturated free fatty acids, oleic and palmitoleic acids, triglycerides (TAG) rich in saturated FA and associated with de novo lipogenesis (i.e., TAG 46-50), higher SCD116, SCD118, ceramide (d18:0/18:0), and phosphatidylcholine aa(36:5) compared with CL1/CL2 (all p < 0.005). CONCLUSIONS High ADIPO-IR and large WC identify a worse lipid profile in T2D characterised by complex lipids rich in SFA, likely due to de novo synthesis given higher plasma monounsaturated FFA and increased desaturase activity indexes. REGISTRATION NUMBER TRIAL ID NCT00700856 https://clinicaltrials.gov.
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Affiliation(s)
- Giuseppe Della Pepa
- Cardiometabolic Risk Unit, Institute of Clinical Physiology, National Research Council-CNR, Pisa, Italy
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Fabrizia Carli
- Cardiometabolic Risk Unit, Institute of Clinical Physiology, National Research Council-CNR, Pisa, Italy
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy
| | - Silvia Sabatini
- Cardiometabolic Risk Unit, Institute of Clinical Physiology, National Research Council-CNR, Pisa, Italy
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy
| | - Samantha Pezzica
- Cardiometabolic Risk Unit, Institute of Clinical Physiology, National Research Council-CNR, Pisa, Italy
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy
| | - Marco Russo
- Cardiometabolic Risk Unit, Institute of Clinical Physiology, National Research Council-CNR, Pisa, Italy
- Department of Biotechnology, Chemistry and Pharmacy, University of Siena, Siena, Italy
| | - Marilena Vitale
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Maria Masulli
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Gabriele Riccardi
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Angela A Rivellese
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Olga Vaccaro
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Lutgarda Bozzetto
- Department of Clinical Medicine and Surgery, University of Naples Federico II, Naples, Italy
| | - Amalia Gastaldelli
- Cardiometabolic Risk Unit, Institute of Clinical Physiology, National Research Council-CNR, Pisa, Italy
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23
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Li J, Yang L, Song J, Yan B, Morris AJ, Moseley H, Flight R, Wang C, Liu J, Weiss HL, Morris EF, Abdelhamid I, Gerl MJ, Melander O, Smyth S, Evers BM. Neurotensin accelerates atherosclerosis and increases circulating levels of short-chain and saturated triglycerides. Atherosclerosis 2024; 392:117479. [PMID: 38423808 PMCID: PMC11088984 DOI: 10.1016/j.atherosclerosis.2024.117479] [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: 11/17/2023] [Revised: 01/25/2024] [Accepted: 02/07/2024] [Indexed: 03/02/2024]
Abstract
BACKGROUND AND AIMS Obesity and type 2 diabetes are significant risk factors for atherosclerotic cardiovascular disease (CVD) worldwide, but the underlying pathophysiological links are poorly understood. Neurotensin (NT), a 13-amino-acid hormone peptide, facilitates intestinal fat absorption and contributes to obesity in mice fed a high-fat diet. Elevated levels of pro-NT (a stable NT precursor produced in equimolar amounts relative to NT) are associated with obesity, type 2 diabetes, and CVD in humans. Whether NT is a causative factor in CVD is unknown. METHODS Nt+/+ and Nt-/- mice were either injected with adeno-associated virus encoding PCSK9 mutants or crossed with Ldlr-/- mice and fed a Western diet. Atherosclerotic plaques were analyzed by en face analysis, Oil Red O and CD68 staining. In humans, we evaluated the association between baseline pro-NT and growth of carotid bulb thickness after 16.4 years. Lipidomic profiles were analyzed. RESULTS Atherosclerotic plaque formation is attenuated in Nt-deficient mice through mechanisms that are independent of reductions in circulating cholesterol and triglycerides but associated with remodeling of the plasma triglyceride pool. An increasing plasma concentration of pro-NT predicts atherosclerotic events in coronary and cerebral arteries independent of all major traditional risk factors, indicating a strong link between NT and atherosclerosis. This plasma lipid profile analysis confirms the association of pro-NT with remodeling of the plasma triglyceride pool in atherosclerotic events. CONCLUSIONS Our findings are the first to directly link NT to increased atherosclerosis and indicate the potential role for NT in preventive and therapeutic strategies for CVD.
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Affiliation(s)
- Jing Li
- University of Kentucky, Lexington, KY, 40536, USA
| | - Liping Yang
- University of Kentucky, Lexington, KY, 40536, USA
| | - Jun Song
- University of Kentucky, Lexington, KY, 40536, USA
| | - Baoxiang Yan
- University of Kentucky, Lexington, KY, 40536, USA
| | - Andrew J Morris
- University of Arkansas for Medical Sciences, Little Rock, AR, 77205, USA
| | | | | | - Chi Wang
- University of Kentucky, Lexington, KY, 40536, USA
| | - Jinpeng Liu
- University of Kentucky, Lexington, KY, 40536, USA
| | | | - Edward F Morris
- Washington University in St. Louis, St. Louis, Missouri, 63110, USA
| | | | | | | | - Susan Smyth
- University of Arkansas for Medical Sciences, Little Rock, AR, 77205, USA
| | - B Mark Evers
- University of Kentucky, Lexington, KY, 40536, USA.
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24
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Wańczura P, Aebisher D, Iwański MA, Myśliwiec A, Dynarowicz K, Bartusik-Aebisher D. The Essence of Lipoproteins in Cardiovascular Health and Diseases Treated by Photodynamic Therapy. Biomedicines 2024; 12:961. [PMID: 38790923 PMCID: PMC11117957 DOI: 10.3390/biomedicines12050961] [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: 03/10/2024] [Revised: 04/22/2024] [Accepted: 04/24/2024] [Indexed: 05/26/2024] Open
Abstract
Lipids, together with lipoprotein particles, are the cause of atherosclerosis, which is a pathology of the cardiovascular system. In addition, it affects inflammatory processes and affects the vessels and heart. In pharmaceutical answer to this, statins are considered a first-stage treatment method to block cholesterol synthesis. Many times, additional drugs are also used with this method to lower lipid concentrations in order to achieve certain values of low-density lipoprotein (LDL) cholesterol. Recent advances in photodynamic therapy (PDT) as a new cancer treatment have gained the therapy much attention as a minimally invasive and highly selective method. Photodynamic therapy has been proven more effective than chemotherapy, radiotherapy, and immunotherapy alone in numerous studies. Consequently, photodynamic therapy research has expanded in many fields of medicine due to its increased therapeutic effects and reduced side effects. Currently, PDT is the most commonly used therapy for treating age-related macular degeneration, as well as inflammatory diseases, and skin infections. The effectiveness of photodynamic therapy against a number of pathogens has also been demonstrated in various studies. Also, PDT has been used in the treatment of cardiovascular diseases, such as atherosclerosis and hyperplasia of the arterial intima. This review evaluates the effectiveness and usefulness of photodynamic therapy in cardiovascular diseases. According to the analysis, photodynamic therapy is a promising approach for treating cardiovascular diseases and may lead to new clinical trials and management standards. Our review addresses the used therapeutic strategies and also describes new therapeutic strategies to reduce the cardiovascular burden that is induced by lipids.
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Affiliation(s)
- Piotr Wańczura
- Department of Cardiology, Medical College of the University of Rzeszów, 35-310 Rzeszów, Poland
| | - David Aebisher
- Department of Photomedicine and Physical Chemistry, Medical College of the University of Rzeszów, 35-310 Rzeszów, Poland
| | - Mateusz A Iwański
- English Division Science Club, Medical College of the University of Rzeszów, 35-310 Rzeszów, Poland
| | - Angelika Myśliwiec
- Center for Innovative Research in Medical and Natural Sciences, Medical College of the University of Rzeszów, 35-310 Rzeszów, Poland
| | - Klaudia Dynarowicz
- Center for Innovative Research in Medical and Natural Sciences, Medical College of the University of Rzeszów, 35-310 Rzeszów, Poland
| | - Dorota Bartusik-Aebisher
- Department of Biochemistry and General Chemistry, Medical College of the University of Rzeszów, 35-310 Rzeszów, Poland
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25
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Ding Y, Liu N, Zhang D, Guo L, Shang Q, Liu Y, Ren G, Ma X. Mitochondria-associated endoplasmic reticulum membranes as a therapeutic target for cardiovascular diseases. Front Pharmacol 2024; 15:1398381. [PMID: 38694924 PMCID: PMC11061472 DOI: 10.3389/fphar.2024.1398381] [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: 03/11/2024] [Accepted: 04/05/2024] [Indexed: 05/04/2024] Open
Abstract
Cardiovascular diseases (CVDs) are currently the leading cause of death worldwide. In 2022, the CVDs contributed to 19.8 million deaths globally, accounting for one-third of all global deaths. With an aging population and changing lifestyles, CVDs pose a major threat to human health. Mitochondria-associated endoplasmic reticulum membranes (MAMs) are communication platforms between cellular organelles and regulate cellular physiological functions, including apoptosis, autophagy, and programmed necrosis. Further research has shown that MAMs play a critical role in the pathogenesis of CVDs, including myocardial ischemia and reperfusion injury, heart failure, pulmonary hypertension, and coronary atherosclerosis. This suggests that MAMs could be an important therapeutic target for managing CVDs. The goal of this study is to summarize the protein complex of MAMs, discuss its role in the pathological mechanisms of CVDs in terms of its functions such as Ca2+ transport, apoptotic signaling, and lipid metabolism, and suggest the possibility of MAMs as a potential therapeutic approach.
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Affiliation(s)
- Yanqiu Ding
- Cardiovascular Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- Graduate School, Beijing University of Chinese Medicine, Beijing, China
| | - Nanyang Liu
- Department of Geratology, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Dawu Zhang
- Cardiovascular Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Lijun Guo
- Cardiovascular Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Qinghua Shang
- Cardiovascular Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Yicheng Liu
- Cardiovascular Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Gaocan Ren
- Cardiovascular Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
| | - Xiaochang Ma
- Cardiovascular Department, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
- State Key Laboratory of Traditional Chinese Medicine Syndrome, Xiyuan Hospital, China Academy of Chinese Medical Sciences, Beijing, China
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26
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Wancewicz B, Pergande MR, Zhu Y, Gao Z, Shi Z, Plouff K, Ge Y. Comprehensive Metabolomic Analysis of Human Heart Tissue Enabled by Parallel Metabolite Extraction and High-Resolution Mass Spectrometry. Anal Chem 2024; 96:5781-5789. [PMID: 38568106 PMCID: PMC11057979 DOI: 10.1021/acs.analchem.3c04353] [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] [Indexed: 04/16/2024]
Abstract
The heart contracts incessantly and requires a constant supply of energy, utilizing numerous metabolic substrates, such as fatty acids, carbohydrates, lipids, and amino acids, to supply its high energy demands. Therefore, a comprehensive analysis of various metabolites is urgently needed for understanding cardiac metabolism; however, complete metabolome analyses remain challenging due to the broad range of metabolite polarities, which makes extraction and detection difficult. Herein, we implemented parallel metabolite extractions and high-resolution mass spectrometry (MS)-based methods to obtain a comprehensive analysis of the human heart metabolome. To capture the diverse range of metabolite polarities, we first performed six parallel liquid-liquid extractions (three monophasic, two biphasic, and one triphasic) of healthy human donor heart tissue. Next, we utilized two complementary MS platforms for metabolite detection: direct-infusion ultrahigh-resolution Fourier-transform ion cyclotron resonance (DI-FTICR) and high-resolution liquid chromatography quadrupole time-of-flight tandem MS (LC-Q-TOF-MS/MS). Using DI-FTICR MS, 9644 metabolic features were detected where 7156 were assigned a molecular formula and 1107 were annotated by accurate mass assignment. Using LC-Q-TOF-MS/MS, 21,428 metabolic features were detected where 285 metabolites were identified based on fragmentation matching against publicly available libraries. Collectively, 1340 heart metabolites were identified in this study, which span a wide range of polarities including polar (benzenoids, carbohydrates, and nucleosides) as well as nonpolar (phosphatidylcholines, acylcarnitines, and fatty acids) compounds. The results from this study will provide critical knowledge regarding the selection of appropriate extraction and MS detection methods for the analysis of the diverse classes of human heart metabolites.
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Affiliation(s)
- Benjamin Wancewicz
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Melissa R. Pergande
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Yanlong Zhu
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Zhan Gao
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Zhuoxin Shi
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Kylie Plouff
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Ying Ge
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
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27
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van der Post J, Guerra TEJ, van den Hof M, Vaz FM, Pajkrt D, van Genderen JG. Plasma Lipidomic Profiles in cART-Treated Adolescents with Perinatally Acquired HIV Compared to Matched Controls. Viruses 2024; 16:580. [PMID: 38675922 PMCID: PMC11053976 DOI: 10.3390/v16040580] [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: 03/07/2024] [Revised: 03/29/2024] [Accepted: 04/03/2024] [Indexed: 04/28/2024] Open
Abstract
Children with perinatally acquired human immunodeficiency virus (PHIV) are growing into adulthood with HIV and treatment-associated comorbidities, such as dyslipidemia and insulin resistance. HIV is identified as independent risk factor for cardiovascular disease (CVD). The hypothesis behind increased CVD risk associated with HIV includes vascular inflammation, dyslipidemia and combination antiretroviral therapy (cART) metabolomic toxicity. To investigate differences in lipid profiles and pathophysiological mechanisms of CVD risk in adolescents with PHIV, we compared the plasma lipidome of PHIV adolescents and HIV-negative controls. We additionally investigated the influence of current cART regimens and increased lipoprotein(a) (Lp(a)) levels on the plasma lipidome. We included 20 PHIV-infected adolescents and 20 HIV-negative controls matched for age, sex, ethnic origin and socio-economic status. Plasma lipidome was measured using Thermo Scientific Ultimate 3000 binary high-performance liquid chromatography (HPLC)-mass spectrometry. We evaluated the plasma lipidome in PHIV adolescents using different cART regimens (including those known to be associated with lipid alterations). The median age was 17.5 years (15.5-20.7) and 16.5 years (15.7-19.8) for PHIV adolescents and controls, respectively. Of PHIV adolescents, 45% used a non-nucleotide reverse transcriptase inhibitor (NNRTI)-based (25%) or protease inhibitor (PI)-based (20%) cART regimen. In this pilot study, we observed no significant differences between lipidomic profiles between PHIV adolescents and controls. We observed no differences in the plasma lipidome in participants with increased versus normal Lp(a) levels. Different cART regimens appear to influence chain length differences in the plasma lipidome of PHIV adolescents; however, the significance and causality of this observation remains undetermined. Further research on the influence of cART on lipid composition could further identify these alterations.
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Affiliation(s)
- Julie van der Post
- Department of Pediatric Infectious Diseases, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1100 DD Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
| | - Thiara E. J. Guerra
- Department of Pediatric Infectious Diseases, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1100 DD Amsterdam, The Netherlands
| | - Malon van den Hof
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Department of Epidemiology and Data Science, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1105 AZ Amsterdam, The Netherlands
- Amsterdam Public Health, Ageing & Later Life, Health Behaviors and Chronic Diseases, Amsterdam, The Netherlands
| | - Frédéric M. Vaz
- Department of Clinical Chemistry and Pediatrics, Laboratory Genetic Metabolic Diseases, Emma Children’s Hospital, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands;
- Amsterdam Gastroenterology Endocrinology Metabolism, Inborn Errors of Metabolism, Amsterdam, The Netherlands
- Core Facility Metabolomics, Amsterdam UMC, Location University of Amsterdam, Meibergdreef 9, 1105 AZ Amsterdam, The Netherlands
| | - Dasja Pajkrt
- Department of Pediatric Infectious Diseases, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1100 DD Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
- Amsterdam Infectious Diseases and Immunology Research Institute, Amsterdam, The Netherlands
| | - Jason G. van Genderen
- Department of Pediatric Infectious Diseases, Amsterdam UMC, Location Academic Medical Center, University of Amsterdam, 1100 DD Amsterdam, The Netherlands
- Amsterdam Reproduction and Development Research Institute, Amsterdam, The Netherlands
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Wan Z, Su J, Zhu X, Liu X, Guo Y, Xiang D, Zhou X, Peng X, Tao R, Cao Q, Lang G, Huang Y, Zhu B. Distinct Lipidomic Profiles between People Living with HIV Treated with E/C/F/TAF or B/F/TAF: An Open-Label Prospective Cohort Study. Infect Dis Ther 2024; 13:727-744. [PMID: 38489119 PMCID: PMC11058159 DOI: 10.1007/s40121-024-00943-0] [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: 12/21/2023] [Accepted: 02/15/2024] [Indexed: 03/17/2024] Open
Abstract
INTRODUCTION Elvitegravir/cobicistat/emtricitabine/tenofovir alafenamide (E/C/F/TAF) has been increasingly replaced by bictegravir/emtricitabine/tenofovir alafenamide (B/F/TAF) in the treatment of human immunodeficiency virus (HIV) owing to its more favorable pharmacokinetics and fewer drug-drug interactions. However, the effect of this switch on plasma lipids and lipidomic profiles remains poorly characterized. METHODS HIV infected patients on an E/C/F/TAF regimen were recruited into the study and followed up every 12 weeks. Participants were divided into E/C/F/TAF and B/F/TAF groups depending on whether they were switched to B/F/TAF during follow-up. Clinical information and blood samples were collected at 0, 12, and 24 weeks, and lipidomic analysis was performed using liquid chromatography mass spectrometry. RESULTS No significant differences were observed between the groups at baseline. At week 24, patients switched to B/F/TAF had lower triglyceride [mmol/L; 1.23 (0.62) versus 2.03 (0.75), P = 0.001] and very low-density lipoprotein cholesterol [mmol/L; 0.64 (0.26) versus 0.84 (0.32), P = 0.037) compared with patients who continued E/C/F/TAF therapy. Small decrease from baseline in Framingham general cardiovascular risk score (FRS) was observed in the B/F/TAF arm [week (W) 0: 2.59 (1.57) versus W24: 2.18 (1.01), P = 0.043]. Lipidomic analysis indicated that E/C/F/TAF treatment increased the levels of several diglycerides (DGs), triacylglycerols (TAGs), and lyso-phosphatidylcholines (LPCs), whereas switching to B/F/TAF led to increased sphingolipids and glycerophospholipids. After adjusting for demographic and clinical parameters, only DG (16:0/18:2), DG (18:2/22:6), DG (18:3/18:2), DG (20:5/18:2), TAG (18:3/18:2/21:5), TAG (20:5/18:2/22:6), and LPC (22:6) were found to be significantly associated with FRS (regression coefficient of 0.17-6.02, P < 0.05). Most of these FRS associate lipid species were significantly elevated in individuals treated with E/C/F/TAF instead of individuals treated with B/F/TAF. CONCLUSION E/C/F/TAF promotes the accumulation of lipid species closely associated with cardiovascular disease (CVD) risk among people living with HIV, whereas B/F/TAF has a decreased impact on CVD-related lipid profile and is associated with lower CVD risk. A graphical abstract is available with this article. TRIAL REGISTRATION ClinicalTrials.gov; identifier, NCT06019273.
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Affiliation(s)
- Zhikai Wan
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Junwei Su
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Xueling Zhu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Xiang Liu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Yongzheng Guo
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Dairong Xiang
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Xiaotang Zhou
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Xiaorong Peng
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Ran Tao
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Qing Cao
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Guanjing Lang
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Ying Huang
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China
| | - Biao Zhu
- The Department of Infectious Diseases, State Key Laboratory for Diagnosis and Treatment of Infectious Diseases, National Clinical Research Center for Infectious Diseases, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, The First Affiliated Hospital, School of Medicine, Zhejiang University, No. 79 Qingchun Road, Shangcheng District, Hangzhou, Zhejiang, China.
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Maushagen J, Addin NS, Schuppert C, Ward-Caviness CK, Nattenmüller J, Adamski J, Peters A, Bamberg F, Schlett CL, Wang-Sattler R, Rospleszcz S. Serum metabolite signatures of cardiac function and morphology in individuals from a population-based cohort. Biomark Res 2024; 12:31. [PMID: 38444025 PMCID: PMC10916302 DOI: 10.1186/s40364-024-00578-w] [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: 12/06/2023] [Accepted: 02/24/2024] [Indexed: 03/07/2024] Open
Abstract
BACKGROUND Changes in serum metabolites in individuals with altered cardiac function and morphology may exhibit information about cardiovascular disease (CVD) pathway dysregulations and potential CVD risk factors. We aimed to explore associations of cardiac function and morphology, evaluated using magnetic resonance imaging (MRI) with a large panel of serum metabolites. METHODS Cross-sectional data from CVD-free individuals from the population-based KORA cohort were analyzed. Associations between 3T-MRI-derived left ventricular (LV) function and morphology parameters (e.g., volumes, filling rates, wall thickness) and markers of carotid plaque with metabolite profile clusters and single metabolites as outcomes were assessed by adjusted multinomial logistic regression and linear regression models. RESULTS In 360 individuals (mean age 56.3 years; 41.9% female), 146 serum metabolites clustered into three distinct profiles that reflected high-, intermediate- and low-CVD risk. Higher stroke volume (relative risk ratio (RRR): 0.53, 95%-CI [0.37; 0.76], p-value < 0.001) and early diastolic filling rate (RRR: 0.51, 95%-CI [0.37; 0.71], p-value < 0.001) were most strongly protectively associated against the high-risk profile compared to the low-risk profile after adjusting for traditional CVD risk factors. Moreover, imaging markers were associated with 10 metabolites in linear regression. Notably, negative associations of stroke volume and early diastolic filling rate with acylcarnitine C5, and positive association of function parameters with lysophosphatidylcholines, diacylphosphatidylcholines, and acylalkylphosphatidylcholines were observed. Furthermore, there was a negative association of LV wall thickness with alanine, creatinine, and symmetric dimethylarginine. We found no significant associations with carotid plaque. CONCLUSIONS Serum metabolite signatures are associated with cardiac function and morphology even in individuals without a clinical indication of CVD.
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Affiliation(s)
- Juliane Maushagen
- Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig- Maximilians-Universität (LMU), München, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Nuha Shugaa Addin
- Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig- Maximilians-Universität (LMU), München, Germany
- Pettenkofer School of Public Health, Munich, Germany
| | - Christopher Schuppert
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Cavin K Ward-Caviness
- Center for Public Health and Environmental Assessment, U.S. EPA, Chapel Hill, NC, USA
| | - Johanna Nattenmüller
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Jerzy Adamski
- Institute of Experimental Genetics, Helmholtz Zentrum München, German Research Center for Environmental Health, Ingolstädter Landstraße 1, 85764, Neuherberg, Germany
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, 117597, Singapore, Singapore
- Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Vrazov trg 2, 1000, Ljubljana, Slovenia
| | - Annette Peters
- Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig- Maximilians-Universität (LMU), München, Germany
- German Center for Diabetes Research, DZD, Neuherberg, Germany
- German Center for Cardiovascular Disease Research (DZHK), Munich Heart Alliance, Munich, Germany
| | - Fabian Bamberg
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Christopher L Schlett
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany
| | - Rui Wang-Sattler
- German Center for Diabetes Research, DZD, Neuherberg, Germany
- Institute of Translational Genomics, Helmholtz Munich, Neuherberg, Germany
| | - Susanne Rospleszcz
- Institute of Epidemiology, Helmholtz Munich, Neuherberg, Germany.
- Chair of Epidemiology, Institute for Medical Information Processing, Biometry, and Epidemiology (IBE), Medical Faculty, Ludwig- Maximilians-Universität (LMU), München, Germany.
- Department of Diagnostic and Interventional Radiology, Faculty of Medicine, Medical Center - University of Freiburg, University of Freiburg, Freiburg, Germany.
- German Center for Cardiovascular Disease Research (DZHK), Munich Heart Alliance, Munich, Germany.
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Abrahams T, Nicholls SJ. Perspectives on the success of plasma lipidomics in cardiovascular drug discovery and future challenges. Expert Opin Drug Discov 2024; 19:281-290. [PMID: 38402906 DOI: 10.1080/17460441.2023.2292039] [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: 06/21/2023] [Accepted: 12/04/2023] [Indexed: 02/27/2024]
Abstract
INTRODUCTION Plasma lipidomics has emerged as a powerful tool in cardiovascular drug discovery by providing insights into disease mechanisms, identifying potential biomarkers for diagnosis and prognosis, and discovering novel targets for drug development. Widespread application of plasma lipidomics is hampered by technological limitations and standardization and requires a collaborative approach to maximize its use in cardiovascular drug discovery. AREAS COVERED This review provides an overview of the utility of plasma lipidomics in cardiovascular drug discovery and discusses the challenges and future perspectives of this rapidly evolving field. The authors discuss the role of lipidomics in understanding the molecular mechanisms of CVD, identifying novel biomarkers for diagnosis and prognosis, and discovering new therapeutic targets for drug development. Furthermore, they highlight the challenges faced in data analysis, standardization, and integration with other omics approaches and propose future directions for the field. EXPERT OPINION Plasma lipidomics holds great promise for improving the diagnosis, treatment, and prevention of CVD. While challenges remain in standardization and technology, ongoing research and collaboration among scientists and clinicians will undoubtedly help overcome these obstacles. As lipidomics evolves, its impact on cardiovascular drug discovery and clinical practice is expected to grow, ultimately benefiting patients and healthcare systems worldwide.
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Affiliation(s)
- Timothy Abrahams
- From the Victorian Heart Institute, Monash University, Melbourne, Australia
| | - Stephen J Nicholls
- From the Victorian Heart Institute, Monash University, Melbourne, Australia
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31
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Cao J, Martin-Lorenzo M, van Kuijk K, Wieland EB, Gijbels MJ, Claes BSR, Heredero A, Aldamiz-Echevarria G, Heeren RMA, Goossens P, Sluimer JC, Balluff B, Alvarez-Llamas G. Spatial Metabolomics Identifies LPC(18:0) and LPA(18:1) in Advanced Atheroma With Translation to Plasma for Cardiovascular Risk Estimation. Arterioscler Thromb Vasc Biol 2024; 44:741-754. [PMID: 38299357 DOI: 10.1161/atvbaha.123.320278] [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: 10/23/2023] [Accepted: 01/16/2024] [Indexed: 02/02/2024]
Abstract
BACKGROUND The metabolic alterations occurring within the arterial architecture during atherosclerosis development remain poorly understood, let alone those particular to each arterial tunica. We aimed first to identify, in a spatially resolved manner, the specific metabolic changes in plaque, media, adventitia, and cardiac tissue between control and atherosclerotic murine aortas. Second, we assessed their translatability to human tissue and plasma for cardiovascular risk estimation. METHODS In this observational study, mass spectrometry imaging (MSI) was applied to identify region-specific metabolic differences between atherosclerotic (n=11) and control (n=11) aortas from low-density lipoprotein receptor-deficient mice, via histology-guided virtual microdissection. Early and advanced plaques were compared within the same atherosclerotic animals. Progression metabolites were further analyzed by MSI in 9 human atherosclerotic carotids and by targeted mass spectrometry in human plasma from subjects with elective coronary artery bypass grafting (cardiovascular risk group, n=27) and a control group (n=27). RESULTS MSI identified 362 local metabolic alterations in atherosclerotic mice (log2 fold-change ≥1.5; P≤0.05). The lipid composition of cardiac tissue is altered during atherosclerosis development and presents a generalized accumulation of glycerophospholipids, except for lysolipids. Lysolipids (among other glycerophospholipids) were found at elevated levels in all 3 arterial layers of atherosclerotic aortas. LPC(18:0) (lysophosphatidylcholine; P=0.024) and LPA(18:1) (lysophosphatidic acid; P=0.025) were found to be significantly elevated in advanced plaques as compared with mouse-matched early plaques. Higher levels of both lipid species were also observed in fibrosis-rich areas of advanced- versus early-stage human samples. They were found to be significantly reduced in human plasma from subjects with elective coronary artery bypass grafting (P<0.001 and P=0.031, respectively), with LPC(18:0) showing significant association with cardiovascular risk (odds ratio, 0.479 [95% CI, 0.225-0.883]; P=0.032) and diagnostic potential (area under the curve, 0.778 [95% CI, 0.638-0.917]). CONCLUSIONS An altered phospholipid metabolism occurs in atherosclerosis, affecting both the aorta and the adjacent heart tissue. Plaque-progression lipids LPC(18:0) and LPA(18:1), as identified by MSI on tissue, reflect cardiovascular risk in human plasma.
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Affiliation(s)
- Jianhua Cao
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Marta Martin-Lorenzo
- Immunology Department, IIS-Fundación Jiménez Díaz-UAM, Madrid, Spain (M.M.-L., G.A.-L.)
| | - Kim van Kuijk
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
| | - Elias B Wieland
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
| | - Marion J Gijbels
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
- Department of Medical Biochemistry, Experimental Vascular Biology, Amsterdam Cardiovascular Sciences, Amsterdam Infection and Immunity, Amsterdam UMC, the Netherlands (M.J.G.)
| | - Britt S R Claes
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Angeles Heredero
- Cardiac Surgery Service, Fundación Jiménez Díaz University Hospital-UAM, Madrid, Spain (A.H., G.A.-E.)
| | | | - Ron M A Heeren
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Pieter Goossens
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
| | - Judith C Sluimer
- Department of Pathology, CARIM School for Cardiovascular Diseases, Maastricht University Medical Center, the Netherlands (K.v.K., E.B.W., M.J.G., P.G., J.C.S.)
- Centre for Cardiovascular Science, University of Edinburgh, United Kingdom (J.C.S.)
| | - Benjamin Balluff
- Maastricht MultiModal Molecular Imaging institute, M4i, Maastricht University, the Netherlands (J.C., B.S.R.C., R.M.A.H., B.B.)
| | - Gloria Alvarez-Llamas
- Immunology Department, IIS-Fundación Jiménez Díaz-UAM, Madrid, Spain (M.M.-L., G.A.-L.)
- RICORS2040, IIS-Fundación Jiménez Díaz, Madrid, Spain (G.A.-L.)
- Biochemistry and Molecular Biology Department, Complutense University, Madrid, Spain (G.A.-L.)
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Shahjahan, Dey JK, Dey SK. Translational bioinformatics approach to combat cardiovascular disease and cancers. ADVANCES IN PROTEIN CHEMISTRY AND STRUCTURAL BIOLOGY 2024; 139:221-261. [PMID: 38448136 DOI: 10.1016/bs.apcsb.2023.11.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 03/08/2024]
Abstract
Bioinformatics is an interconnected subject of science dealing with diverse fields including biology, chemistry, physics, statistics, mathematics, and computer science as the key fields to answer complicated physiological problems. Key intention of bioinformatics is to store, analyze, organize, and retrieve essential information about genome, proteome, transcriptome, metabolome, as well as organisms to investigate the biological system along with its dynamics, if any. The outcome of bioinformatics depends on the type, quantity, and quality of the raw data provided and the algorithm employed to analyze the same. Despite several approved medicines available, cardiovascular disorders (CVDs) and cancers comprises of the two leading causes of human deaths. Understanding the unknown facts of both these non-communicable disorders is inevitable to discover new pathways, find new drug targets, and eventually newer drugs to combat them successfully. Since, all these goals involve complex investigation and handling of various types of macro- and small- molecules of the human body, bioinformatics plays a key role in such processes. Results from such investigation has direct human application and thus we call this filed as translational bioinformatics. Current book chapter thus deals with diverse scope and applications of this translational bioinformatics to find cure, diagnosis, and understanding the mechanisms of CVDs and cancers. Developing complex yet small or long algorithms to address such problems is very common in translational bioinformatics. Structure-based drug discovery or AI-guided invention of novel antibodies that too with super-high accuracy, speed, and involvement of considerably low amount of investment are some of the astonishing features of the translational bioinformatics and its applications in the fields of CVDs and cancers.
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Affiliation(s)
- Shahjahan
- Laboratory for Structural Biology of Membrane Proteins, Dr. B.R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India
| | - Joy Kumar Dey
- Central Council for Research in Homoeopathy, Ministry of Ayush, Govt. of India, New Delhi, Delhi, India
| | - Sanjay Kumar Dey
- Laboratory for Structural Biology of Membrane Proteins, Dr. B.R. Ambedkar Center for Biomedical Research, University of Delhi, Delhi, India.
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Chen L, Dai J, Yu G, Pang WW, Rahman ML, Liu X, Fiehn O, Guivarch C, Chen Z, Zhang C. Metabolomic Biomarkers of Dietary Approaches to Stop Hypertension (DASH) Dietary Patterns in Pregnant Women. Nutrients 2024; 16:492. [PMID: 38398816 PMCID: PMC10892314 DOI: 10.3390/nu16040492] [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: 12/21/2023] [Revised: 01/29/2024] [Accepted: 02/06/2024] [Indexed: 02/25/2024] Open
Abstract
Objective: the aim of this study was to identify plasma metabolomic markers of Dietary Approaches to Stop Hypertension (DASH) dietary patterns in pregnant women. Methods: This study included 186 women who had both dietary intake and metabolome measured from a nested case-control study within the NICHD Fetal Growth Studies-Singletons cohort (FGS). Dietary intakes were ascertained at 8-13 gestational weeks (GW) using the Food Frequency Questionnaire (FFQ) and DASH scores were calculated based on eight food and nutrient components. Fasting plasma samples were collected at 15-26 GW and untargeted metabolomic profiling was performed. Multivariable linear regression models were used to examine the association of individual metabolites with the DASH score. Least absolute shrinkage and selection operator (LASSO) regression was used to select a panel of metabolites jointly associated with the DASH score. Results: Of the total 460 known metabolites, 92 were individually associated with DASH score in linear regressions, 25 were selected as a panel by LASSO regressions, and 18 were identified by both methods. Among the top 18 metabolites, there were 11 lipids and lipid-like molecules (i.e., TG (49:1), TG (52:2), PC (31:0), PC (35:3), PC (36:4) C, PC (36:5) B, PC (38:4) B, PC (42:6), SM (d32:0), gamma-tocopherol, and dodecanoic acid), 5 organic acids and derivatives (i.e., asparagine, beta-alanine, glycine, taurine, and hydroxycarbamate), 1 organic oxygen compound (i.e., xylitol), and 1 organoheterocyclic compound (i.e., maleimide). Conclusions: our study identified plasma metabolomic markers for DASH dietary patterns in pregnant women, with most of being lipids and lipid-like molecules.
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Affiliation(s)
- Liwei Chen
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA; (L.C.); (J.D.); (X.L.)
| | - Jin Dai
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA; (L.C.); (J.D.); (X.L.)
| | - Guoqi Yu
- Global Center for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (G.Y.); (W.W.P.); (C.G.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Wei Wei Pang
- Global Center for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (G.Y.); (W.W.P.); (C.G.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Mohammad L. Rahman
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD 20850, USA;
| | - Xinyue Liu
- Department of Epidemiology, Fielding School of Public Health, University of California, Los Angeles, CA 90095, USA; (L.C.); (J.D.); (X.L.)
| | - Oliver Fiehn
- West Coast Metabolomics Center, UC Davis Genome Center, University of California, Davis, CA 95616, USA;
| | - Claire Guivarch
- Global Center for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (G.Y.); (W.W.P.); (C.G.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
| | - Zhen Chen
- Division of Population Health Research, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institute of Health, Bethesda, MD 20892, USA;
| | - Cuilin Zhang
- Global Center for Asian Women’s Health, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore; (G.Y.); (W.W.P.); (C.G.)
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Bia-Echo Asia Centre for Reproductive Longevity and Equality (ACRLE), Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
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Miao G, Pechlaner R, Fiehn O, Malloy KM, Zhang Y, Umans JG, Mayr M, Willeit J, Kiechl S, Zhao J. Longitudinal Lipidomic Signature of Coronary Heart Disease in American Indian People. J Am Heart Assoc 2024; 13:e031825. [PMID: 38293910 PMCID: PMC11056164 DOI: 10.1161/jaha.123.031825] [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: 07/18/2023] [Accepted: 12/14/2023] [Indexed: 02/01/2024]
Abstract
BACKGROUND Dyslipidemia is an independent risk factor for coronary heart disease (CHD). Standard lipid panel cannot capture the complexity of the blood lipidome (ie, all molecular lipids in the blood). To date, very few large-scale epidemiological studies have assessed the full spectrum of the blood lipidome on risk of CHD, especially in a longitudinal setting. METHODS AND RESULTS Using an untargeted liquid chromatography-mass spectrometry, we repeatedly measured 1542 lipid species from 1835 unique American Indian participants who attended 2 clinical visits (≈5.5 years apart) and followed up to 17.8 years in the Strong Heart Family Study (SHFS). We first identified baseline lipid species associated with risk of CHD, followed by replication in a European population. The model adjusted for age, sex, body mass index, smoking, hypertension, diabetes, low-density lipoprotein cholesterol, estimated glomerular filtration rate, education, and physical activity at baseline. We then examined the longitudinal association between changes in lipid species and changes in cardiovascular risk factors during follow-up. Multiple testing was controlled by the false discovery rate. We found that baseline levels of multiple lipid species (eg, phosphatidylcholines, phosphatidylethanolamines, and ceramides) were associated with the risk of CHD and improved the prediction accuracy over conventional risk factors in American Indian people. Some identified lipids in American Indian people were replicated in European people. Longitudinal changes in multiple lipid species (eg, acylcarnitines, phosphatidylcholines, and triacylglycerols) were associated with changes in cardiovascular risk factors. CONCLUSIONS Baseline plasma lipids and their longitudinal changes over time are associated with risk of CHD. These findings provide novel insights into the role of dyslipidemia in CHD.
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Affiliation(s)
- Guanhong Miao
- Department of Epidemiology, College of Public Health & Health Professions and College of MedicineUniversity of FloridaGainesvilleFL
- Center for Genetic Epidemiology and BioinformaticsUniversity of FloridaGainesvilleFL
| | | | - Oliver Fiehn
- West Coast Metabolomics CenterUniversity of CaliforniaDavisCA
| | - Kimberly M. Malloy
- Department of Biostatistics and EpidemiologyUniversity of Oklahoma Health Sciences CenterOklahoma CityOK
| | - Ying Zhang
- Department of Biostatistics and EpidemiologyUniversity of Oklahoma Health Sciences CenterOklahoma CityOK
| | | | - Manuel Mayr
- National Heart & Lung InstituteImperial CollegeLondonUK
| | - Johann Willeit
- Department of NeurologyMedical University InnsbruckInnsbruckAustria
| | - Stefan Kiechl
- Department of NeurologyMedical University InnsbruckInnsbruckAustria
- Research Centre on Vascular Ageing and StrokeInnsbruckAustria
| | - Jinying Zhao
- Department of Epidemiology, College of Public Health & Health Professions and College of MedicineUniversity of FloridaGainesvilleFL
- Center for Genetic Epidemiology and BioinformaticsUniversity of FloridaGainesvilleFL
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Slijkhuis N, Razzi F, Korteland SA, Heijs B, van Gaalen K, Duncker DJ, van der Steen AFW, van Steijn V, van Beusekom HMM, van Soest G. Spatial lipidomics of coronary atherosclerotic plaque development in a familial hypercholesterolemia swine model. J Lipid Res 2024; 65:100504. [PMID: 38246237 PMCID: PMC10879031 DOI: 10.1016/j.jlr.2024.100504] [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: 10/20/2023] [Revised: 12/22/2023] [Accepted: 01/09/2024] [Indexed: 01/23/2024] Open
Abstract
Coronary atherosclerosis is caused by plaque build-up, with lipids playing a pivotal role in its progression. However, lipid composition and distribution within coronary atherosclerosis remain unknown. This study aims to characterize lipids and investigate differences in lipid composition across disease stages to aid in the understanding of disease progression. Matrix-assisted laser desorption/ionization mass spectrometry imaging (MALDI-MSI) was used to visualize lipid distributions in coronary artery sections (n = 17) from hypercholesterolemic swine. We performed histology on consecutive sections to classify the artery segments and to investigate colocalization between lipids and histological regions of interest in advanced plaque, including necrotic core and inflammatory cells. Segments were classified as healthy (n = 6), mild (n = 6), and advanced disease (n = 5) artery segments. Multivariate data analysis was employed to find differences in lipid composition between the segment types, and the lipids' spatial distribution was investigated using non-negative matrix factorization (NMF). Through this process, MALDI-MSI detected 473 lipid-related features. NMF clustering described three components in positive ionization mode: triacylglycerides (TAG), phosphatidylcholines (PC), and cholesterol species. In negative ionization mode, two components were identified: one driven by phosphatidylinositol(PI)(38:4), and one driven by ceramide-phosphoethanolamine(36:1). Multivariate data analysis showed the association between advanced disease and specific lipid signatures like PC(O-40:5) and cholesterylester(CE)(18:2). Ether-linked phospholipids and LysoPC species were found to colocalize with necrotic core, and mostly CE, ceramide, and PI species colocalized with inflammatory cells. This study, therefore, uncovers distinct lipid signatures correlated with plaque development and their colocalization with necrotic core and inflammatory cells, enhancing our understanding of coronary atherosclerosis progression.
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Affiliation(s)
- Nuria Slijkhuis
- Department of Cardiology, Cardiovascular Institute, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
| | - Francesca Razzi
- Department of Experimental Cardiology, Cardiovascular Institute, Thorax Center, Erasmus MC, Rotterdam, The Netherlands; Department of Chemical Engineering, Delft University of Technology, Delft, The Netherlands
| | - Suze-Anne Korteland
- Department of Cardiology, Cardiovascular Institute, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
| | - Bram Heijs
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, The Netherlands
| | - Kim van Gaalen
- Department of Cardiology, Cardiovascular Institute, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
| | - Dirk J Duncker
- Department of Experimental Cardiology, Cardiovascular Institute, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
| | - Antonius F W van der Steen
- Department of Cardiology, Cardiovascular Institute, Thorax Center, Erasmus MC, Rotterdam, The Netherlands; Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China; Department of Imaging Science and Technology, Delft University of Technology, Delft, The Netherlands
| | - Volkert van Steijn
- Department of Chemical Engineering, Delft University of Technology, Delft, The Netherlands
| | - Heleen M M van Beusekom
- Department of Experimental Cardiology, Cardiovascular Institute, Thorax Center, Erasmus MC, Rotterdam, The Netherlands
| | - Gijs van Soest
- Department of Cardiology, Cardiovascular Institute, Thorax Center, Erasmus MC, Rotterdam, The Netherlands; Department of Precision and Microsystems Engineering, Delft University of Technology, Delft, The Netherlands; Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, MA, USA.
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Yu J, Xiong F, Xu Y, Xu H, Zhang X, Gao H, Li Y. Lipidomics reveals immune-related adverse events in NSCLC patients receiving immune checkpoint inhibitor. Int Immunopharmacol 2024; 127:111412. [PMID: 38160567 DOI: 10.1016/j.intimp.2023.111412] [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: 10/16/2023] [Revised: 12/11/2023] [Accepted: 12/15/2023] [Indexed: 01/03/2024]
Abstract
There is a lack of reliable biomarkers to predict and identify the risk of immune-related adverse events (irAEs) in non-small cell lung cancer (NSCLC) patients undergoing immune checkpoint inhibitor (ICI) treatment. This study aims to explore potential biomarkers using lipidomics to identify and predict the risk of irAEs in NSCLC patients receiving ICI treatment. This prospective study enrolled 94 NSCLC patients with IIIB/IV stage NSCLC who underwent first-line chemotherapy in combination with ICI treatment. The prediction cohort consisted of plasma samples collected from 60 patients before ICI treatment, and the occurrence of irAE was monitored within 6 months of initiating first-line ICI therapy. The validation cohort comprised 34 patients, with plasma samples obtained from 15 patients who did not develop irAE at 6 months of ICI treatment and plasma samples collected from 19 irAE patients at the onset of irAE. Through non-targeted lipidomics and semi-targeted lipid quantification analysis, we identify 11 differentially metabolized lipids and further screened these lipids with the area under the curve (AUC) > 0.7 to predict the occurrence of irAEs in NSCLC patients following ICI treatment. The results showed that the biomarker panel consisting of 9 lipids (LPC-18:2, PC-40:6, LPC-22:6, LPC-O-18:0, PS-38:0, PC-38:6, PC-37:6, PC-36:5,LPC-17:0) exhibited a good AUC of 0.859 in the prediction and 0.940 in the validation cohort phase of the receiver operating characteristic curve; The study utilizes plasma lipidomics to develop a rapid and effective prediction model for identifying irAEs in advanced NSCLC patients who treatment with first-line chemotherapy combined with immunotherapy.
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Affiliation(s)
- Jia Yu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Fen Xiong
- Oujiang Laboratory, Institute of Metabonomics & Medical NMR, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Yingruo Xu
- Oujiang Laboratory, Institute of Metabonomics & Medical NMR, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Hanyan Xu
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China
| | - Xi Zhang
- Oujiang Laboratory, Institute of Metabonomics & Medical NMR, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China
| | - Hongchang Gao
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China; Oujiang Laboratory, Institute of Metabonomics & Medical NMR, School of Pharmaceutical Sciences, Wenzhou Medical University, Wenzhou 325035, China.
| | - Yuping Li
- Department of Respiratory and Critical Care Medicine, The First Affiliated Hospital of Wenzhou Medical University, Wenzhou 325035, China.
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Hajeyah AA, Protty MB, Paul D, Costa D, Omidvar N, Morgan B, Iwasaki Y, McGill B, Jenkins PV, Yousef Z, Allen-Redpath K, Soyama S, Choudhury A, Mitra R, Yaqoob P, Morrissey JH, Collins PW, O'Donnell VB. Phosphatidylthreonine is a procoagulant lipid detected in human blood and elevated in coronary artery disease. J Lipid Res 2024; 65:100484. [PMID: 38103786 PMCID: PMC10809103 DOI: 10.1016/j.jlr.2023.100484] [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: 06/19/2023] [Revised: 12/11/2023] [Accepted: 12/11/2023] [Indexed: 12/19/2023] Open
Abstract
Aminophospholipids (aPL) such as phosphatidylserine are essential for supporting the activity of coagulation factors, circulating platelets, and blood cells. Phosphatidylthreonine (PT) is an aminophospholipid previously reported in eukaryotic parasites and animal cell cultures, but not yet in human tissues. Here, we evaluated whether PT is present in blood cells and characterized its ability to support coagulation. Several PT molecular species were detected in human blood, washed platelets, extracellular vesicles, and isolated leukocytes from healthy volunteers using liquid chromatography-tandem mass spectrometry. The ability of PT to support coagulation was demonstrated in vitro using biochemical and biophysical assays. In liposomes, PT supported prothrombinase activity in the presence and absence of phosphatidylserine. PT nanodiscs strongly bound FVa and lactadherin (nM affinity) but poorly bound prothrombin and FX, suggesting that PT supports prothrombinase through recruitment of FVa. PT liposomes bearing tissue factor poorly generated thrombin in platelet poor plasma, indicating that PT poorly supports extrinsic tenase activity. On platelet activation, PT is externalized and partially metabolized. Last, PT was significantly higher in platelets and extracellular vesicle from patients with coronary artery disease than in healthy controls. In summary, PT is present in human blood, binds FVa and lactadherin, supports coagulation in vitro through FVa binding, and is elevated in atherosclerotic vascular disease. Our studies reveal a new phospholipid subclass, that contributes to the procoagulant membrane, and may support thrombosis in patients at elevated risk.
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Affiliation(s)
- Ali A Hajeyah
- Systems Immunity Research Institute and Division of Infection and Immunity, Cardiff University, Cardiff, United Kingdom; Department of Biological Sciences, Kuwait University, Safat, Kuwait.
| | - Majd B Protty
- Systems Immunity Research Institute and Division of Infection and Immunity, Cardiff University, Cardiff, United Kingdom
| | - Divyani Paul
- Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, USA
| | - Daniela Costa
- Systems Immunity Research Institute and Division of Infection and Immunity, Cardiff University, Cardiff, United Kingdom
| | - Nader Omidvar
- Systems Immunity Research Institute and Division of Infection and Immunity, Cardiff University, Cardiff, United Kingdom
| | - Bethan Morgan
- Systems Immunity Research Institute and Division of Infection and Immunity, Cardiff University, Cardiff, United Kingdom
| | - Yugo Iwasaki
- College of Bioscience and Biotechnology, Chubu University, Kasugai, Japan
| | - Beth McGill
- Systems Immunity Research Institute and Division of Infection and Immunity, Cardiff University, Cardiff, United Kingdom
| | | | - Zaheer Yousef
- University Hospital of Wales, Cardiff, United Kingdom
| | - Keith Allen-Redpath
- Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom
| | - Shin Soyama
- Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom
| | | | - Rito Mitra
- University Hospital of Wales, Cardiff, United Kingdom
| | - Parveen Yaqoob
- Department of Food and Nutritional Sciences, University of Reading, Reading, United Kingdom
| | - James H Morrissey
- Department of Biological Chemistry, University of Michigan, Ann Arbor, MI, USA
| | - Peter W Collins
- Systems Immunity Research Institute and Division of Infection and Immunity, Cardiff University, Cardiff, United Kingdom; University Hospital of Wales, Cardiff, United Kingdom
| | - Valerie B O'Donnell
- Systems Immunity Research Institute and Division of Infection and Immunity, Cardiff University, Cardiff, United Kingdom.
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Li Y, Wang H, Xiao Y, Yang H, Wang S, Liu L, Cai H, Zhang X, Tang H, Wu T, Qiu G. Lipidomics identified novel cholesterol-independent predictors for risk of incident coronary heart disease: Mediation of risk from diabetes and aggravation of risk by ambient air pollution. J Adv Res 2023:S2090-1232(23)00396-X. [PMID: 38104795 DOI: 10.1016/j.jare.2023.12.009] [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: 04/04/2023] [Revised: 09/16/2023] [Accepted: 12/10/2023] [Indexed: 12/19/2023] Open
Abstract
INTRODUCTION Previous lipidomics studies have identified various lipid predictors for cardiovascular risk, however, with limited predictive increment, sometimes using too many predictor variables at the expense of practical efficiency. OBJECTIVES To search for lipid predictors of future coronary heart disease (CHD) with stronger predictive power and efficiency to guide primary intervention. METHODS We conducted a prospective nested case-control study involving 1,621 incident CHD cases and 1:1 matched controls. Lipid profiling of 161 lipid species for baseline fasting plasma was performed by liquid chromatography-mass spectrometry. RESULTS In search of CHD predictors, seven lipids were selected by elastic-net regression during over 90% of 1000 cross-validation repetitions, and the derived composite lipid score showed an adjusted odds ratio of 3.75 (95% confidence interval: 3.15, 4.46) per standard deviation increase. Addition of the lipid score into traditional risk model increased c-statistic to 0.736 by an increment of 0.077 (0.063, 0.092). From the seven lipids, we found mediation of CHD risk from baseline diabetes through sphingomyelin (SM) 41:1b with a considerable mediation proportion of 36.97% (P < 0.05). We further found that the positive associations of phosphatidylcholine (PC) 36:0a, SM 41:1b, lysophosphatidylcholine (LPC) 18:0 and LPC 20:3 were more pronounced among participants with higher exposure to fine particulate matter or its certain components, also to ozone for LPC 18:0 and LPC 20:3, while the negative association of cholesteryl ester (CE) 18:2 was attenuated with higher black carbon exposure (P < 0.05). CONCLUSION We identified seven lipid species with greatest predictive increment so-far achieved for incident CHD, and also found novel biomarkers for CHD risk stratification among individuals with diabetes or heavy air pollution exposure.
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Affiliation(s)
- Yingmei Li
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Hao Wang
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Yang Xiao
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Handong Yang
- Department of Cardiovascular Disease, Sinopharm Dongfeng General Hospital, Hubei University of Medicine, Shiyan, China
| | - Sihan Wang
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Ling Liu
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Hao Cai
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Xiaomin Zhang
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China
| | - Huiru Tang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Metabonomics and Systems Biology Laboratory at Shanghai International Centre for Molecular Phenomics, Human Phenome Institute, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Tangchun Wu
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
| | - Gaokun Qiu
- Ministry of Education and State Key Laboratory of Environmental Health (Incubating), School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei 430030, China.
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Liu LQ, Zhang P, Qi YZ, Li H, Jiang YH, Yang CH. Quercetin Attenuates Atherosclerosis via Modulating Apelin Signaling Pathway Based on Plasma Metabolomics. Chin J Integr Med 2023; 29:1121-1132. [PMID: 37656412 DOI: 10.1007/s11655-023-3645-9] [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: 06/05/2023] [Indexed: 09/02/2023]
Abstract
OBJECTIVE To interpret the pharmacology of quercetin in treatment of atherosclerosis (AS). METHODS Fourteen apolipoprotein E-deficient (ApoE-/-) mice were divided into 2 groups by a random number table: an AS model (ApoE-/-) group and a quercetin treatment group (7 in each). Seven age-matched C57 mice were used as controls (n=7). Quercetin [20 mg/(kg·d)] was administered to the quercetin group intragastrically for 8 weeks for pharmacodynamic evaluation. Besides morphological observation, the distribution of CD11b, F4/80, sirtuin 1 (Sirt1) and P21 was assayed by immunohistochemistry and immunofluorescence to evaluate macrophage infiltration and tissue senescence. Ultra-performance liquid chromatography/tandem mass spectrometry (UPLC-MSC/MS) was performed to study the pharmacology of quercetin against AS. Then, simultaneous administration of an apelin receptor antagonist (ML221) with quercetin was conducted to verify the possible targets of quercetin. Key proteins in apelin signaling pathway, such as angiotensin domain type 1 receptor-associated proteins (APJ), AMP-activated protein kinase (AMPK), peroxisome proliferator-activated receptor-γ coactivator-1α (PGC-1α), tissue plasminogen activator (TPA), uncoupling protein 1 (UCP1) and angiotensin II receptor 1 (AT1R), were assayed by Western blot. RESULTS Quercetin administration decreased lipid deposition in arterial lumen and improved the morphology of ApoE-/- aortas in vivo. Quercetin decreased the densities of CD11b, F4/80 and P21 in the aorta and increased the level of serum apelin and the densities of APJ and Sirt1 in the aorta in ApoE-/- mice (all P<0.05). Plasma metabolite profiling identified 118 differential metabolites and showed that quercetin affected mainly glycerophospholipids and fatty acyls. Bioinformatics analysis suggested that the apelin signaling pathway was one of the main pathways. Quercetin treatment increased the protein expressions of APJ, AMPK, PGC-1α, TPA and UCP1, while decreased the AT1R level (all P<0.05). After the apelin pathway was blocked by ML221, the effect of quercetin was abated significantly, confirming that quercetin attenuated AS by modulating the apelin signaling pathway (all P<0.05). CONCLUSION Quercetin alleviated AS lesions by up-regulation the apelin signaling pathway.
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Affiliation(s)
- Li-Qun Liu
- The First Clinical Medical College, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Peng Zhang
- College of Integrated Chinese and Western Medicine, Binzhou Medical University, Yantai, Shandong Province, 264000, China
| | - Ying-Zi Qi
- Health College, Shandong University of Traditional Chinese Medicine, Jinan, 250355, China
| | - Hui Li
- Department of Pharmacy, Ruijin Hospital, School of Medicine, Shanghai Jiaotong University, Shanghai, 200050, China
| | - Yue-Hua Jiang
- Central Laboratory, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China
| | - Chuan-Hua Yang
- Department of Cardiovascular, Affiliated Hospital of Shandong University of Traditional Chinese Medicine, Jinan, 250014, China.
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McMullan JE, Yeates AJ, Allsopp PJ, Mulhern MS, Strain JJ, van Wijngaarden E, Myers GJ, Shroff E, Shamlaye CF, McSorley EM. Fish consumption and its lipid modifying effects - A review of intervention studies. Neurotoxicology 2023; 99:82-96. [PMID: 37820771 DOI: 10.1016/j.neuro.2023.10.003] [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: 07/31/2023] [Revised: 09/22/2023] [Accepted: 10/04/2023] [Indexed: 10/13/2023]
Abstract
Fish is an important source of nutrients, particularly the long chain n-3 polyunsaturated fatty acids (n-3 PUFAs). The incorporation of fish into the diet has been shown to have several health benefits, including lowering the risk of cardiovascular disease (CVD). Elevated plasma lipids are one of the main modifiable risk factors contributing to CVD and may be partly mediated by n-3 PUFAs. Although n-3 PUFAs in the form of supplementation have been shown to exert lipid modifying effects, the effects of fish consumption on the lipid profile have not been well summarised to date. Therefore, the aim of the present review is to discuss the current evidence from intervention studies investigating the effect of fish consumption on the lipid profile in both apparently healthy and non-healthy populations. Existing evidence appears to support the role of fish in promoting a shift towards a less inflammatory lipid profile through raising n-3 PUFAs and potentially lowering n-6 PUFA and triglyceride concentrations in both healthy and non-healthy populations. Fish consumption has a negligible effect on cholesterol concentrations; however, fish consumption may promote a small increase in high density lipoprotein (HDL) cholesterol amongst people with lower HDL at baseline. Limited studies have shown fish consumption to result in shifts in phospholipid and sphingolipid species and structure, albeit it is not yet clear whether these alterations have any meaningful impact on CVD risk. Future well-designed studies that utilise NMR and/or lipidomics analysis are warranted to explore the effects of these shifts in lipid content and structure in the context of disease development. Public health guidance should emphasise the cardioprotective benefits of fish and encourage consumption particularly in the Global North where fish consumption remains low.
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Affiliation(s)
- James E McMullan
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Alison J Yeates
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Philip J Allsopp
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Maria S Mulhern
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - J J Strain
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK
| | - Edwin van Wijngaarden
- School of Medicine and Dentistry, University of Rochester, 601 Elmwood Avenue, Rochester, NY 14642, USA
| | - Gary J Myers
- School of Medicine and Dentistry, University of Rochester, 601 Elmwood Avenue, Rochester, NY 14642, USA
| | - Emelyn Shroff
- The Ministry of Health, Mahé, Republic of Seychelles
| | | | - Emeir M McSorley
- Nutrition Innovation Centre for Food and Health (NICHE), School of Biomedical Sciences, Ulster University, Coleraine, Northern Ireland, UK.
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Fu M, He R, Zhang Z, Ma F, Shen L, Zhang Y, Duan M, Zhang Y, Wang Y, Zhu L, He J. Multinomial machine learning identifies independent biomarkers by integrated metabolic analysis of acute coronary syndrome. Sci Rep 2023; 13:20535. [PMID: 37996510 PMCID: PMC10667512 DOI: 10.1038/s41598-023-47783-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/25/2023] [Accepted: 11/18/2023] [Indexed: 11/25/2023] Open
Abstract
A multi-class classification model for acute coronary syndrome (ACS) remains to be constructed based on multi-fluid metabolomics. Major confounders may exert spurious effects on the relationship between metabolism and ACS. The study aims to identify an independent biomarker panel for the multiclassification of HC, UA, and AMI by integrating serum and urinary metabolomics. We performed a liquid chromatography-tandem mass spectrometry (LC-MS/MS)-based metabolomics study on 300 serum and urine samples from 44 patients with unstable angina (UA), 77 with acute myocardial infarction (AMI), and 29 healthy controls (HC). Multinomial machine learning approaches, including multinomial adaptive least absolute shrinkage and selection operator (LASSO) regression and random forest (RF), and assessment of the confounders were applied to integrate a multi-class classification biomarker panel for HC, UA and AMI. Different metabolic landscapes were portrayed during the transition from HC to UA and then to AMI. Glycerophospholipid metabolism and arginine biosynthesis were predominant during the progression from HC to UA and then to AMI. The multiclass metabolic diagnostic model (MDM) dependent on ACS, including 2-ketobutyric acid, LysoPC(18:2(9Z,12Z)), argininosuccinic acid, and cyclic GMP, demarcated HC, UA, and AMI, providing a C-index of 0.84 (HC vs. UA), 0.98 (HC vs. AMI), and 0.89 (UA vs. AMI). The diagnostic value of MDM largely derives from the contribution of 2-ketobutyric acid, and LysoPC(18:2(9Z,12Z)) in serum. Higher 2-ketobutyric acid and cyclic GMP levels were positively correlated with ACS risk and atherosclerosis plaque burden, while LysoPC(18:2(9Z,12Z)) and argininosuccinic acid showed the reverse relationship. An independent multiclass biomarker panel for HC, UA, and AMI was constructed using the multinomial machine learning methods based on serum and urinary metabolite signatures.
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Affiliation(s)
- Meijiao Fu
- Ningxia Medical University, Yinchuan, 750004, Ningxia, China
| | - Ruhua He
- Department of Cardiology, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China
| | - Zhihan Zhang
- Department of Cardiology, Hanzhong Central Hospital, Hanzhong, 723200, Shanxi, China
| | - Fuqing Ma
- Department of Cardiology, The Fifth People's Hospital of Ningxia, Shizuishan, 753000, Ningxia, China
| | - Libo Shen
- Center for Cardiovascular Diseases, People's Hospital of Ningxia Hui Autonomous Region, Yinchuan, 750002, Ningxia, China
| | - Yu Zhang
- Ningxia Medical University, Yinchuan, 750004, Ningxia, China
| | - Mingyu Duan
- Ningxia Medical University, Yinchuan, 750004, Ningxia, China
| | - Yameng Zhang
- Department of Cardiology, The Second Affiliated Hospital of Henan University of Science and Technology, Luoyang, 471000, Henan, China
| | - Yifan Wang
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China
| | - Li Zhu
- Department of Radiology, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
| | - Jun He
- Department of Cardiology, General Hospital of Ningxia Medical University, Yinchuan, 750004, Ningxia, China.
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Harm T, Dittrich K, Brun A, Fu X, Frey M, Petersen Uribe A, Schwarz FJ, Rohlfing AK, Castor T, Geisler T, Rath D, Lämmerhofer M, Gawaz MP. Large-scale lipidomics profiling reveals characteristic lipid signatures associated with an increased cardiovascular risk. Clin Res Cardiol 2023; 112:1664-1678. [PMID: 37470807 PMCID: PMC10584760 DOI: 10.1007/s00392-023-02260-x] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2023] [Accepted: 06/27/2023] [Indexed: 07/21/2023]
Abstract
BACKGROUND AND AIMS Patients with cardiovascular disease (CVD) are at high risk to develop adverse events. The distinct risk of developing adverse cardiovascular (CV) events is not solely explained by traditional risk factors. Platelets are essentially involved in progression of CVD including coronary artery disease (CAD) and platelet hyperreactivity leads to development of adverse CV events. Alterations in the platelet lipidome lead to platelet hyperresponsiveness and thus might alter the individual risk profile. In this study, we investigate the platelet lipidome of CAD patients by untargeted lipidomics and elucidate alterations in the lipid composition of patients with adverse CV events. METHODS We characterized the platelet lipidome in a large consecutive CAD cohort (n = 1057) by an untargeted lipidomics approach using liquid chromatography coupled to mass spectrometry. RESULTS The platelet lipidome in this study identified 767 lipids and characteristic changes occurred in patients with adverse CV events. The most prominent upregulated lipids in patients with cardiovascular events primarily belong to the class of phospholipids and fatty acyls. Further, upregulated platelet lipids are associated with an increased cardiovascular or bleeding risk and independently associated with adverse events. In addition, alterations of the platelet lipidome are associated with modulation of in vitro platelet functions. CONCLUSIONS Our results reveal that the composition of the platelet lipidome is altered in CVD patients with an increased cardiovascular risk and distinct platelet lipids may indicate adverse events. Results of this study may contribute to improved risk discrimination and classification for cardiovascular events in patients with CVD. Main findings of this study and hypothetical impact of altered platelet lipid signatures in patients with adverse cardiovascular events on platelet function and clinical outcome. LPE lysophosphatidylethanolamines, CAR acylcarnitines, FA fatty acids.
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Affiliation(s)
- Tobias Harm
- Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany
| | - Kristina Dittrich
- Institute of Pharmaceutical Sciences, Eberhard Karls University Tübingen, Auf der Morgenstelle 8, 72076, Tübingen, Germany
| | - Adrian Brun
- Institute of Pharmaceutical Sciences, Eberhard Karls University Tübingen, Auf der Morgenstelle 8, 72076, Tübingen, Germany
| | - Xiaoqing Fu
- Institute of Pharmaceutical Sciences, Eberhard Karls University Tübingen, Auf der Morgenstelle 8, 72076, Tübingen, Germany
| | - Moritz Frey
- Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany
| | - Alvaro Petersen Uribe
- Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany
| | - Frederic-Joaquim Schwarz
- Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany
| | - Anne-Katrin Rohlfing
- Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany
| | - Tatsiana Castor
- Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany
| | - Tobias Geisler
- Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany
| | - Dominik Rath
- Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany
| | - Michael Lämmerhofer
- Institute of Pharmaceutical Sciences, Eberhard Karls University Tübingen, Auf der Morgenstelle 8, 72076, Tübingen, Germany
| | - Meinrad P Gawaz
- Department of Cardiology and Angiology, University Hospital Tübingen, Eberhard Karls University Tübingen, Otfried-Müller-Straße 10, 72076, Tübingen, Germany.
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Balasubramanian R, Shutta KH, Guasch-Ferre M, Huang T, Jha SC, Zhu Y, Shadyab AH, Manson JE, Corella D, Fitó M, Hu FB, Rexrode KM, Clish CB, Hankinson SE, Kubzansky LD. Metabolomic profiles of chronic distress are associated with cardiovascular disease risk and inflammation-related risk factors. Brain Behav Immun 2023; 114:262-274. [PMID: 37557964 PMCID: PMC11450778 DOI: 10.1016/j.bbi.2023.08.010] [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: 12/31/2022] [Revised: 08/01/2023] [Accepted: 08/06/2023] [Indexed: 08/11/2023] Open
Abstract
BACKGROUND Chronic psychological distress is associated with increased risk of cardiovascular disease (CVD) and investigators have posited inflammatory factors may be centrally involved in these relationships. However, mechanistic evidence and molecular underpinnings of these processes remain unclear, and data are particularly sparse among women. This study examined if a metabolite profile linked with distress was associated with increased CVD risk and inflammation-related risk factors. METHODS A plasma metabolite-based distress score (MDS) of twenty chronic psychological distress-related metabolites was developed in cross-sectional, 1:1 matched case-control data comprised of 558 women from the Nurses' Health Study (NHS; 279 women with distress, 279 controls). This MDS was then evaluated in two other cohorts: the Women's Health Initiative Observational Cohort (WHI-OS) and the Prevención con Dieta Mediterránea (PREDIMED) trial. We tested the MDS's association with risk of future CVD in each sample and with levels of C-reactive protein (CRP) in the WHI-OS. The WHI-OS subsample included 944 postmenopausal women (472 CHD cases; mean time to event = 5.8 years); the PREDIMED subsample included 980 men and women (224 CVD cases, mean time to event = 3.1 years). RESULTS In the WHI-OS, a 1-SD increase in the plasma MDS was associated with a 20% increased incident CHD risk (odds ratio [OR] = 1.20, 95% CI: 1.04 - 1.38), adjusting for known CVD risk factors excluding total and HDL cholesterol. This association was attenuated after including total and HDL cholesterol. CRP mediated an average 12.9% (95% CI: 4.9% - 28%, p < 10-15) of the total effect of MDS on CHD risk when adjusting for matching factors. This effect was attenuated after adjusting for known CVD risk factors. Of the metabolites in the MDS, tryptophan and threonine were inversely associated with incident CHD risk in univariate models. In PREDIMED, each one SD increase in the MDS was associated with an OR of 1.19 (95% CI: 1.00 - 1.41) for incident CVD risk, after adjusting all risk factors. Similar associations were observed in men and women. Four metabolites in the MDS were associated with incident CVD risk in PREDIMED in univariate models. Biliverdin and C36:5 phosphatidylcholine (PC) plasmalogen had inverse associations; C16:0 ceramide and C18:0 lysophosphatidylethanolamine(LPE) each had positive associations with CVD risk. CONCLUSIONS Our study points to molecular alterations that may underlie the association between chronic distress and subsequent risk of cardiovascular disease in adults.
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Affiliation(s)
- Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States of America
| | - Katherine H Shutta
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States of America; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America
| | - Marta Guasch-Ferre
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America
| | - Shaili C Jha
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Aladdin H Shadyab
- Herbert Wertheim School of Public Health and Human Longevity Science, University of California, San Diego, La Jolla, CA, United States of America
| | - JoAnn E Manson
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital, Boston, MA, United States of America
| | - Dolores Corella
- Department of Preventive Medicine and Public Health. University of Valencia, Valencia Spain and CIBEROBN, Madrid, Spain
| | - Montserrat Fitó
- Epidemiology and Public Health program. Hospital del Mar Research Institute, Barcelona, Spain and CIBEROBN, Madrid, Spain
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA, United States of America; Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America; Harvard Medical School, Boston, MA, United States of America; Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
| | - Kathryn M Rexrode
- Harvard Medical School, Boston, MA, United States of America; Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA, the United States of America
| | - Clary B Clish
- Broad Institute of Massachusetts Institute of Technology and Harvard, Cambridge, MA, United States of America
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA, United States of America
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA, United States of America
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Slijkhuis N, Towers M, Mirzaian M, Korteland SA, Heijs B, van Gaalen K, Nieuwenhuizen I, Nigg A, van der Heiden K, de Rijke YB, van der Lugt A, Sijbrands EJG, Claude E, van Soest G. Identifying lipid traces of atherogenic mechanisms in human carotid plaque. Atherosclerosis 2023; 385:117340. [PMID: 37913561 DOI: 10.1016/j.atherosclerosis.2023.117340] [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: 04/27/2023] [Revised: 10/05/2023] [Accepted: 10/10/2023] [Indexed: 11/03/2023]
Abstract
BACKGROUND AND AIMS Lipids play an important role in atherosclerotic plaque development and are interesting candidate predictive biomarkers. However, the link between circulating lipids, accumulating lipids in the vessel wall, and plaque destabilization processes in humans remains largely unknown. This study aims to provide new insights into the role of lipids in atherosclerosis using lipidomics and mass spectrometry imaging to investigate lipid signatures in advanced human carotid plaque and plasma samples. METHODS We used lipidomics and desorption electrospray ionization mass spectrometry imaging (DESI-MSI) to investigate lipid signatures of advanced human carotid plaque and plasma obtained from patients who underwent carotid endarterectomy (n = 14 out of 17 whose plaque samples were analyzed by DESI-MSI). Multivariate data analysis and unsupervised clustering were applied to identify lipids that were the most discriminative species between different patterns in plaque and plasma. These patterns were interpreted by quantitative comparison with conventional histology. RESULTS Lipidomics detected more than 300 lipid species in plasma and plaque, with markedly different relative abundances. DESI-MSI visualized the spatial distribution of 611 lipid-related m/z features in plaques, of which 330 m/z features could be assigned based on exact mass, comparison to the lipidomic data, and high mass resolution MSI. Matching spatial lipid patterns to histological areas of interest revealed several molecular species that were colocalized with pertinent disease processes in plaque including specific sphingomyelin and ceramide species with calcification, phospholipids and free fatty acids with inflammation, and triacylglycerols and phosphatidylinositols with fibrin-rich areas. CONCLUSIONS By comparing lipid species in plaque and plasma, we identified those circulating species that were also prominently present in plaque. Quantitative comparison of lipid spectral patterns with histology revealed the presence of specific lipid species in destabilized plaque areas, corroborating previous in vitro and animal studies.
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Affiliation(s)
- Nuria Slijkhuis
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Mark Towers
- Waters Corporation, Wilmslow, United Kingdom
| | - Mina Mirzaian
- Department of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Suze-Anne Korteland
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Bram Heijs
- Center for Proteomics and Metabolomics, Leiden University Medical Center, Leiden, the Netherlands
| | - Kim van Gaalen
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Ingeborg Nieuwenhuizen
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Alex Nigg
- Optical Imaging Center, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Kim van der Heiden
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Yolanda B de Rijke
- Department of Clinical Chemistry, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Aad van der Lugt
- Department of Radiology and Nuclear Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | - Eric J G Sijbrands
- Department of Internal Medicine, Erasmus MC, University Medical Center Rotterdam, the Netherlands
| | | | - Gijs van Soest
- Department of Cardiology, Erasmus MC, University Medical Center Rotterdam, the Netherlands; Department of Precision and Microsystems Engineering, Faculty of Mechanical Engineering, Delft University of Technology, Delft, the Netherlands.
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Ottensmann L, Tabassum R, Ruotsalainen SE, Gerl MJ, Klose C, Widén E, Simons K, Ripatti S, Pirinen M. Genome-wide association analysis of plasma lipidome identifies 495 genetic associations. Nat Commun 2023; 14:6934. [PMID: 37907536 PMCID: PMC10618167 DOI: 10.1038/s41467-023-42532-8] [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: 01/11/2023] [Accepted: 10/13/2023] [Indexed: 11/02/2023] Open
Abstract
The human plasma lipidome captures risk for cardiometabolic diseases. To discover new lipid-associated variants and understand the link between lipid species and cardiometabolic disorders, we perform univariate and multivariate genome-wide analyses of 179 lipid species in 7174 Finnish individuals. We fine-map the associated loci, prioritize genes, and examine their disease links in 377,277 FinnGen participants. We identify 495 genome-trait associations in 56 genetic loci including 8 novel loci, with a considerable boost provided by the multivariate analysis. For 26 loci, fine-mapping identifies variants with a high causal probability, including 14 coding variants indicating likely causal genes. A phenome-wide analysis across 953 disease endpoints reveals disease associations for 40 lipid loci. For 11 coronary artery disease risk variants, we detect strong associations with lipid species. Our study demonstrates the power of multivariate genetic analysis in correlated lipidomics data and reveals genetic links between diseases and lipid species beyond the standard lipids.
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Affiliation(s)
- Linda Ottensmann
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
| | - Rubina Tabassum
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | - Sanni E Ruotsalainen
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | | | | | - Elisabeth Widén
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
| | | | - Samuli Ripatti
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland
- Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland
- Broad Institute of the Massachusetts Institute of Technology and Harvard University, Cambridge, MA, USA
| | - Matti Pirinen
- Institute for Molecular Medicine Finland, HiLIFE, University of Helsinki, Helsinki, Finland.
- Department of Public Health, Clinicum, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
- Department of Mathematics and Statistics, University of Helsinki, Helsinki, Finland.
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Nieddu G, Formato M, Lepedda AJ. Searching for Atherosclerosis Biomarkers by Proteomics: A Focus on Lesion Pathogenesis and Vulnerability. Int J Mol Sci 2023; 24:15175. [PMID: 37894856 PMCID: PMC10607641 DOI: 10.3390/ijms242015175] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/19/2023] [Revised: 10/11/2023] [Accepted: 10/12/2023] [Indexed: 10/29/2023] Open
Abstract
Plaque rupture and thrombosis are the most important clinical complications in the pathogenesis of stroke, coronary arteries, and peripheral vascular diseases. The identification of early biomarkers of plaque presence and susceptibility to ulceration could be of primary importance in preventing such life-threatening events. With the improvement of proteomic tools, large-scale technologies have been proven valuable in attempting to unravel pathways of atherosclerotic degeneration and identifying new circulating markers to be utilized either as early diagnostic traits or as targets for new drug therapies. To address these issues, different matrices of human origin, such as vascular cells, arterial tissues, plasma, and urine, have been investigated. Besides, proteomics was also applied to experimental atherosclerosis in order to unveil significant insights into the mechanisms influencing atherogenesis. This narrative review provides an overview of the last twenty years of omics applications to the study of atherogenesis and lesion vulnerability, with particular emphasis on lipoproteomics and vascular tissue proteomics. Major issues of tissue analyses, such as plaque complexity, sampling, availability, choice of proper controls, and lipoproteins purification, will be raised, and future directions will be addressed.
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Affiliation(s)
| | | | - Antonio Junior Lepedda
- Department of Biomedical Sciences, University of Sassari, 07100 Sassari, Italy; (G.N.); (M.F.); Antonio Junior Lepedda (A.J.L.)
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Miao G, Fiehn O, Chen M, Zhang Y, Umans JG, Lee ET, Howard BV, Roman MJ, Devereux RB, Zhao J. Longitudinal lipidomic signature of carotid atherosclerosis in American Indians: Findings from the Strong Heart Family Study. Atherosclerosis 2023; 382:117265. [PMID: 37722315 DOI: 10.1016/j.atherosclerosis.2023.117265] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Revised: 08/28/2023] [Accepted: 08/30/2023] [Indexed: 09/20/2023]
Abstract
BACKGROUND AND AIMS Dyslipidemia is an independent risk factor for atherosclerosis and atherosclerotic cardiovascular disease (ASCVD). To date, a comprehensive assessment of individual lipid species associated with atherosclerosis is lacking in large-scale epidemiological studies, especially in a longitudinal setting. We investigated the association of circulating lipid species and its longitudinal changes with carotid atherosclerosis. METHODS Using liquid chromatograph-mass spectrometry, we repeatedly measured 1542 lipid species in 3687 plasma samples from 1918 unique American Indians attending two visits (mean ∼5 years apart) in the Strong Heart Family Study. Carotid atherosclerotic plaques were assessed by ultrasonography at each visit. We identified lipids associated with prevalence or progression of carotid plaques, adjusting age, sex, BMI, smoking, hypertension, diabetes, and eGFR. Then we examined whether longitudinal changes in lipids were associated with changes in cardiovascular risk factors. Multiple testing was controlled at false discovery rate (FDR) < 0.05. RESULTS Higher levels of sphingomyelins, ether-phosphatidylcholines, and triacylglycerols were significantly associated with prevalence or progression of carotid plaques (odds ratios ranged from 1.15 to 1.34). Longitudinal changes in multiple lipid species (e.g., acylcarnitines, phosphatidylcholines, triacylglycerols) were associated with changes in cardiometabolic traits (e.g., BMI, blood pressure, fasting glucose, eGFR). Network analysis identified differential lipid networks associated with plaque progression. CONCLUSIONS Baseline and longitudinal changes in multiple lipid species were significantly associated with carotid atherosclerosis and its progression in American Indians. Some plaque-related lipid species were also associated with risk for CVD events.
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Affiliation(s)
- Guanhong Miao
- Department of Epidemiology, College of Public Health & Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA
| | - Oliver Fiehn
- West Coast Metabolomics Center, University of California, Davis, CA, USA
| | - Mingjing Chen
- Department of Epidemiology, College of Public Health & Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA
| | - Ying Zhang
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Jason G Umans
- MedStar Health Research Institute, Hyattsville, MD, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
| | - Elisa T Lee
- Department of Biostatistics and Epidemiology, University of Oklahoma Health Sciences Center, Oklahoma City, OK, USA
| | - Barbara V Howard
- MedStar Health Research Institute, Hyattsville, MD, USA; Georgetown-Howard Universities Center for Clinical and Translational Science, Washington, DC, USA
| | - Mary J Roman
- Weill Cornell Medical College, New York, NY, 10065, USA
| | | | - Jinying Zhao
- Department of Epidemiology, College of Public Health & Health Professions and College of Medicine, University of Florida, Gainesville, FL, USA.
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Wancewicz B, Pergande MR, Zhu Y, Gao Z, Shi Z, Plouff K, Ge Y. Comprehensive Metabolomic Analysis of Human Heart Tissue Enabled by Parallel Metabolite Extraction and High-Resolution Mass Spectrometry. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2023:2023.09.15.558013. [PMID: 37745334 PMCID: PMC10516009 DOI: 10.1101/2023.09.15.558013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 09/26/2023]
Abstract
The heart contracts incessantly and requires a constant supply of energy, utilizing numerous metabolic substrates such as fatty acids, carbohydrates, lipids, and amino acids to supply its high energy demands. Therefore, a comprehensive analysis of various metabolites is urgently needed for understanding cardiac metabolism; however, complete metabolome analyses remain challenging due to the broad range of metabolite polarities which makes extraction and detection difficult. Herein, we implemented parallel metabolite extractions and high-resolution mass spectrometry (MS)-based methods to obtain a comprehensive analysis of the human heart metabolome. To capture the diverse range of metabolite polarities, we first performed six parallel liquid-liquid extractions (three monophasic, two biphasic, and one triphasic extractions) of healthy human donor heart tissue. Next, we utilized two complementary MS platforms for metabolite detection - direct-infusion ultrahigh-resolution Fourier-transform ion cyclotron resonance (DI-FTICR) and high-resolution liquid chromatography quadrupole time-of-flight tandem MS (LC-Q-TOF MS/MS). Using DI-FTICR MS, 9,521 metabolic features were detected where 7,699 were assigned a chemical formula and 1,756 were assigned an annotated by accurate mass assignment. Using LC-Q-TOF MS/MS, 21,428 metabolic features were detected where 626 metabolites were identified based on fragmentation matching against publicly available libraries. Collectively, 2276 heart metabolites were identified in this study which span a wide range of polarities including polar (benzenoids, alkaloids and derivatives and nucleosides) as well as non-polar (phosphatidylcholines, acylcarnitines, and fatty acids) compounds. The results of this study will provide critical knowledge regarding the selection of appropriate extraction and MS detection methods for the analysis of the diverse classes of human heart metabolites.
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Affiliation(s)
- Benjamin Wancewicz
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Melissa R. Pergande
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Yanlong Zhu
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Zhan Gao
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Zhuoxin Shi
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Kylie Plouff
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
| | - Ying Ge
- Department of Cell and Regenerative Biology, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
- Human Proteomics Program, School of Medicine and Public Health, University of Wisconsin-Madison, Madison, Wisconsin, 53705, USA
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Solsona EM, Johnson L, Northstone K, Buckland G. Prospective association between an obesogenic dietary pattern in early adolescence and metabolomics derived and traditional cardiometabolic risk scores in adolescents and young adults from the ALSPAC cohort. Nutr Metab (Lond) 2023; 20:41. [PMID: 37715209 PMCID: PMC10504726 DOI: 10.1186/s12986-023-00754-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2022] [Accepted: 07/26/2023] [Indexed: 09/17/2023] Open
Abstract
BACKGROUND Dietary intake during early life may be a modifying factor for cardiometabolic risk (CMR). Metabolomic profiling may enable more precise identification of CMR in adolescence than traditional CMR scores. We aim to assess and compare the prospective associations between an obesogenic dietary pattern (DP) score at age 13 years with a novel vs. traditional CMR score in adolescence and young adulthood in the Avon Longitudinal Study of Parents and Children (ALSPAC). METHODS Study participants were ALSPAC children with diet diary data at age 13. The obesogenic DP z-score, characterized by high energy-density, high % of energy from total fat and free sugars, and low fibre density, was previously derived using reduced rank regression. CMR scores were calculated by combining novel metabolites or traditional risk factors (fat mass index, insulin resistance, mean arterial blood pressure, triacylglycerol, HDL and LDL cholesterol) at age 15 (n = 1808), 17 (n = 1629), and 24 years (n = 1760). Multivariable linear regression models estimated associations of DP z-score with log-transformed CMR z-scores. RESULTS Compared to the lowest tertile, the highest DP z-score tertile at age 13 was associated with an increase in the metabolomics CMR z-score at age 15 (β = 0.20, 95% CI 0.09, 0.32, p trend < 0.001) and at age 17 (β = 0.22, 95% CI 0.10, 0.34, p trend < 0.001), and with the traditional CMR z-score at age 15 (β = 0.15, 95% CI 0.05, 0.24, p trend 0.020). There was no evidence of an association at age 17 for the traditional CMR z-score (β = 0.07, 95% CI -0.03, 0.16, p trend 0.137) or for both scores at age 24. CONCLUSIONS An obesogenic DP was associated with greater CMR in adolescents. Stronger associations were observed with a novel metabolite CMR score compared to traditional risk factors. There may be benefits from modifying diet during adolescence for CMR health, which should be prioritized for further research in trials.
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Affiliation(s)
- Eduard Martínez Solsona
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, BS8 1TZ, Bristol, UK.
| | - Laura Johnson
- Centre for Exercise, Nutrition and Health Sciences, School for Policy Studies, University of Bristol, 8 Priory Road, BS8 1TZ, Bristol, UK
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
- Centre for Health, NatCen Social Research, London, UK
| | - Kate Northstone
- Population Health Sciences, Bristol Medical School, University of Bristol, Bristol, UK
| | - Genevieve Buckland
- Centre for Academic Child Health, Bristol Medical School, University of Bristol, Bristol, UK.
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Hong BV, Rhodes CH, Agus JK, Tang X, Zhu C, Zheng JJ, Zivkovic AM. A single 36-h water-only fast vastly remodels the plasma lipidome. Front Cardiovasc Med 2023; 10:1251122. [PMID: 37745091 PMCID: PMC10513913 DOI: 10.3389/fcvm.2023.1251122] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2023] [Accepted: 08/21/2023] [Indexed: 09/26/2023] Open
Abstract
Background Prolonged fasting, characterized by restricting caloric intake for 24 h or more, has garnered attention as a nutritional approach to improve lifespan and support healthy aging. Previous research from our group showed that a single bout of 36-h water-only fasting in humans resulted in a distinct metabolomic signature in plasma and increased levels of bioactive metabolites, which improved macrophage function and lifespan in C. elegans. Objective This secondary outcome analysis aimed to investigate changes in the plasma lipidome associated with prolonged fasting and explore any potential links with markers of cardiometabolic health and aging. Method We conducted a controlled pilot study with 20 male and female participants (mean age, 27.5 ± 4.4 years; mean BMI, 24.3 ± 3.1 kg/m2) in four metabolic states: (1) overnight fasted (baseline), (2) 2-h postprandial fed state (fed), (3) 36-h fasted state (fasted), and (4) 2-h postprandial refed state 12 h after the 36-h fast (refed). Plasma lipidomic profiles were analyzed using liquid chromatography and electrospray ionization mass spectrometry. Results Several lipid classes, including lysophosphatidylcholine (LPC), lysophosphatidylethanolamine (LPE), phosphatidylethanolamine, and triacylglycerol were significantly reduced in the 36-h fasted state, while free fatty acids, ceramides, and sphingomyelin were significantly increased compared to overnight fast and fed states (P < 0.05). After correction for multiple testing, 245 out of 832 lipid species were significantly altered in the fasted state compared to baseline (P < 0.05). Random forest models revealed that several lipid species, such as LPE(18:1), LPC(18:2), and FFA(20:1) were important features in discriminating the fasted state from both the overnight fasted and postprandial state. Conclusion Our findings indicate that prolonged fasting vastly remodels the plasma lipidome and markedly alters the concentrations of several lipid species, which may be sensitive biomarkers of prolonged fasting. These changes in lipid metabolism during prolonged fasting have important implications for the management of cardiometabolic health and healthy aging, and warrant further exploration and validation in larger cohorts and different population groups.
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Affiliation(s)
| | | | | | | | | | | | - Angela M. Zivkovic
- Department of Nutrition, University of California, Davis, Davis, CA, United States
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