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Huang T, Zhu Y, Shutta KH, Balasubramanian R, Zeleznik OA, Rexrode KM, Clish CB, Sun Q, Hu FB, Kubzansky LD, Hankinson SE. A Plasma Metabolite Score Related to Psychological Distress and Diabetes Risk: A Nested Case-control Study in US Women. J Clin Endocrinol Metab 2024; 109:e1434-e1441. [PMID: 38092374 DOI: 10.1210/clinem/dgad731] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/13/2023] [Indexed: 05/18/2024]
Abstract
CONTEXT Psychological distress has been linked to diabetes risk. Few population-based, epidemiologic studies have investigated the potential molecular mechanisms (eg, metabolic dysregulation) underlying this association. OBJECTIVE To evaluate the association between a metabolomic signature for psychological distress and diabetes risk. METHODS We conducted a nested case-control study of plasma metabolomics and diabetes risk in the Nurses' Health Study, including 728 women (mean age: 55.2 years) with incident diabetes and 728 matched controls. Blood samples were collected between 1989 and 1990 and incident diabetes was diagnosed between 1992 and 2008. Based on our prior work, we calculated a weighted plasma metabolite-based distress score (MDS) comprised of 19 metabolites. We used conditional logistic regression accounting for matching factors and other diabetes risk factors to estimate odds ratios (OR) and 95% confidence intervals (CI) for diabetes risk according to MDS. RESULTS After adjusting for sociodemographic factors, family history of diabetes, and health behaviors, the OR (95% CI) for diabetes risk across quintiles of the MDS was 1.00 (reference) for Q1, 1.16 (0.77, 1.73) for Q2, 1.30 (0.88, 1.91) for Q3, 1.99 (1.36, 2.92) for Q4, and 2.47 (1.66, 3.67) for Q5. Each SD increase in MDS was associated with 36% higher diabetes risk (95% CI: 1.21, 1.54; P-trend <.0001). This association was moderately attenuated after additional adjustment for body mass index (comparable OR: 1.17; 95% CI: 1.02, 1.35; P-trend = .02). The MDS explained 17.6% of the association between self-reported psychological distress (defined as presence of depression or anxiety symptoms) and diabetes risk (P = .04). CONCLUSION MDS was significantly associated with diabetes risk in women. These results suggest that differences in multiple lipid and amino acid metabolites may underlie the observed association between psychological distress and diabetes risk.
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Affiliation(s)
- Tianyi Huang
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Division of Sleep Medicine, Harvard Medical School, Boston, MA 02115, USA
| | - Yiwen Zhu
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Katherine H Shutta
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Raji Balasubramanian
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA
| | - Oana A Zeleznik
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
| | - Kathryn M Rexrode
- Division of Women's Health, Department of Medicine, Brigham and Women's Hospital, Boston, MA 02115, USA
- Division of Preventive Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02215, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Boston, MA 02142, USA
| | - Qi Sun
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Frank B Hu
- Channing Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115, USA
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Laura D Kubzansky
- Department of Social and Behavioral Sciences, Harvard T.H. Chan School of Public Health, Boston, MA 02115, USA
| | - Susan E Hankinson
- Department of Biostatistics and Epidemiology, University of Massachusetts Amherst, Amherst, MA 01003, USA
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2
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Luo K, Peters BA, Moon JY, Xue X, Wang Z, Usyk M, Hanna DB, Landay AL, Schneider MF, Gustafson D, Weber KM, French A, Sharma A, Anastos K, Wang T, Brown T, Clish CB, Kaplan RC, Knight R, Burk RD, Qi Q. Metabolic and inflammatory perturbation of diabetes associated gut dysbiosis in people living with and without HIV infection. Genome Med 2024; 16:59. [PMID: 38643166 PMCID: PMC11032597 DOI: 10.1186/s13073-024-01336-1] [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: 06/21/2023] [Accepted: 04/16/2024] [Indexed: 04/22/2024] Open
Abstract
BACKGROUND Gut dysbiosis has been linked with both HIV infection and diabetes, but its interplay with metabolic and inflammatory responses in diabetes, particularly in the context of HIV infection, remains unclear. METHODS We first conducted a cross-sectional association analysis to characterize the gut microbial, circulating metabolite, and immune/inflammatory protein features associated with diabetes in up to 493 women (~ 146 with prevalent diabetes with 69.9% HIV +) of the Women's Interagency HIV Study. Prospective analyses were then conducted to determine associations of identified metabolites with incident diabetes over 12 years of follow-up in 694 participants (391 women from WIHS and 303 men from the Multicenter AIDS Cohort Study; 166 incident cases were recorded) with and without HIV infection. Mediation analyses were conducted to explore whether gut bacteria-diabetes associations are explained by altered metabolites and proteins. RESULTS Seven gut bacterial genera were identified to be associated with diabetes (FDR-q < 0.1), with positive associations for Shigella, Escherichia, Megasphaera, and Lactobacillus, and inverse associations for Adlercreutzia, Ruminococcus, and Intestinibacter. Importantly, the associations of most species, especially Adlercreutzia and Ruminococcus, were largely independent of antidiabetic medications use. Meanwhile, 18 proteins and 76 metabolites, including 3 microbially derived metabolites (trimethylamine N-oxide, phenylacetylglutamine (PAGln), imidazolepropionic acid (IMP)), 50 lipids (e.g., diradylglycerols (DGs) and triradylglycerols (TGs)) and 23 non-lipid metabolites, were associated with diabetes (FDR-q < 0.1), with the majority showing positive associations and more than half of them (59/76) associated with incident diabetes. In mediation analyses, several proteins, especially interleukin-18 receptor 1 and osteoprotegerin, IMP and PAGln partially mediate the observed bacterial genera-diabetes associations, particularly for those of Adlercreutzia and Escherichia. Many diabetes-associated metabolites and proteins were altered in HIV, but no effect modification on their associations with diabetes was observed by HIV. CONCLUSION Among individuals with and without HIV, multiple gut bacterial genera, blood metabolites, and proinflammatory proteins were associated with diabetes. The observed mediated effects by metabolites and proteins in genera-diabetes associations highlighted the potential involvement of inflammatory and metabolic perturbations in the link between gut dysbiosis and diabetes in the context of HIV infection.
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Affiliation(s)
- Kai Luo
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Brandilyn A Peters
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Jee-Young Moon
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Xiaonan Xue
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Zheng Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Mykhaylo Usyk
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
| | - David B Hanna
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Alan L Landay
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Michael F Schneider
- Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, USA
| | - Deborah Gustafson
- Department of Neurology, State University of New York-Downstate Medical Center, Brooklyn, NY, USA
| | | | - Audrey French
- Department of Internal Medicine, Rush University Medical Center, Chicago, IL, USA
| | - Anjali Sharma
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Kathryn Anastos
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Obstetrics and Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Tao Wang
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Todd Brown
- Division of Endocrinology, Diabetes, and Metabolism, Department of Medicine, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, MA, USA
| | - Robert C Kaplan
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, USA
| | - Rob Knight
- Center for Microbiome Innovation, University of California, San Diego, La Jolla, CA, USA
- Department of Bioengineering, University of California, San Diego, La Jolla, CA, USA
- Department of Pediatrics, University of California, San Diego, La Jolla, CA, USA
- Department of Computer Science and Engineering, University of California, San Diego, La Jolla, CA, USA
| | - Robert D Burk
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Microbiology and Immunology, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Obstetrics and Gynecology and Women's Health, Albert Einstein College of Medicine, Bronx, NY, USA
- Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, USA
| | - Qibin Qi
- Department of Epidemiology and Population Health, Albert Einstein College of Medicine, Bronx, NY, USA.
- Department of Nutrition, Harvard T.H. Chan School of Public Health, Boston, MA, USA.
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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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Zhang S, Huang Y, Zheng C, Wang L, Zhou Y, Chen W, Duan Y, Shan T. Leucine improves the growth performance, carcass traits, and lipid nutritional quality of pork in Shaziling pigs. Meat Sci 2024; 210:109435. [PMID: 38246121 DOI: 10.1016/j.meatsci.2024.109435] [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: 06/01/2023] [Revised: 01/03/2024] [Accepted: 01/14/2024] [Indexed: 01/23/2024]
Abstract
Leucine is involved in promoting fatty acid oxidation and lipolysis, mediating lipid metabolism and energy homeostasis, thus it has been widely used in livestock production. However, the effects of leucine on fat deposition and nutrition in Shaziling pigs remain unclear. A total of 72 Shaziling pigs (150 days old, weight 35.00 ± 1.00 kg) were randomly divided into 2 groups and fed with basal diet (control group) or basal diet containing 1% leucine (leucine group) for 60 days. The results showed that leucine significantly increased the average daily feed intake but decreased the ratio of feed to gain (P < 0.05), increased the loin muscle area and serum glucose content (P < 0.05) of Shaziling pigs. Besides, leucine regulated the re-distribution of fatty acids from adipose tissue to muscle as it significantly increased the contents of C18:1n-9 and C22:6n-3 (DHA) in the longissimus thoracis while decreased the contents of C22:5n-3 (DPA), C20:5n-3 (EPA), and DHA in the adipose tissue of Shaziling pigs (P < 0.05). Lipidomic analysis showed that the contents of phosphatidylethanolamines (PEs), cardiolipins (CLs), and phosphatidylglycerols (PGs) in the longissimus thoracis and the contents of lysophosphatidylethanolamines (LPEs), ceramides (Cers), phosphatidylinositols (PIs) in adipose tissue of Shaziling pigs were decreased in leucine group (P < 0.05). Collectively, this study clarified that dietary addition of 1% leucine have a better effect on growth performance and the deposition of beneficial fatty acids in the muscle of Shaziling pigs, which is conductive to the production of high quality and healthy pork. In addition, leucine altered the lipid composition of muscle and fat in Shaziling pigs. The related results provide a theoretical basis and application guidance for regulating fat deposition in Shaziling pigs, which is important for the healthy breeding of Shaziling pigs.
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Affiliation(s)
- Shu Zhang
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Yuqin Huang
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Changbing Zheng
- College of Animal Science and Technology, Hunan Agricultural University, Changsha, Hunan 410128, PR China
| | - Liyi Wang
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Yanbing Zhou
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Wentao Chen
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China
| | - Yehui Duan
- Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha, Hunan 410125, PR China
| | - Tizhong Shan
- College of Animal Sciences, Zhejiang University, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Molecular Animal Nutrition (Zhejiang University), Ministry of Education, Hangzhou, Zhejiang 310058, PR China; Key Laboratory of Animal Feed and Nutrition of Zhejiang Province, Hangzhou, Zhejiang 310058, PR China.
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Pan S, Fu H, Ai Z, Li C, Bai J. Carotid Ultrasound Abnormalities of People Living With HIV in Kunming, China: Multiple Correspondence Analysis Approach to Identify Influencing Factors. Int J STD AIDS 2023; 34:710-719. [PMID: 37200517 DOI: 10.1177/09564624231174600] [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: 05/20/2023]
Abstract
BACKGROUND With the use of antiretroviral therapy (ART), the life expectancy of people living with HIV (PLWH) is gradually increasing, but subclinical atherosclerotic cardiovascular disease is becoming increasingly common in PLWH. METHODS We obtained data from 326 PLWH. Based on the results of carotid ultrasonography, we divided patients into normal and abnormal carotid ultrasound groups and performed the χ2 test and multiple correspondence analysis (MCA) to determine the influencing factors of abnormal carotid ultrasound. RESULTS Among the 326 PLWH, the overall abnormality rate of carotid ultrasound was 31.9% (104/326). MCA showed that carotid ultrasound abnormalities were markedly more common in patients with age (non-youth), BMI ≥24.0 kg/m2, hypertension, diabetes, hyperlipidemia, ART treatment ≥5 years, and CD4+T lymphocyte count <200/μL. CONCLUSION Carotid ultrasound is more likely to be abnormal when PLWH have higher age, BMI ≥24.0 kg/m2, hypertension, diabetes, hyperlipidemia, a longer course of ART, and a low CD4+ T lymphocyte count.
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Affiliation(s)
- Shuishui Pan
- Infectious Disease Department, The Third People's Hospital of Kunming, Kunming, China
- School of Public Health, Dali University, Dali, China
| | - Haiyan Fu
- Department of Hospice Care, The Third People's Hospital of Kunming, Kunming, China
| | - Zhiqiong Ai
- School of Public Health, Dali University, Dali, China
| | - Chongxi Li
- Infectious Disease Department, The Third People's Hospital of Kunming, Kunming, China
| | - Jinsong Bai
- Infectious Disease Department, The Third People's Hospital of Kunming, Kunming, China
- School of Public Health, Dali University, Dali, China
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Lin K, Cheng W, Shen Q, Wang H, Wang R, Guo S, Wu X, Wu W, Chen P, Wang Y, Ye H, Zhang Q, Wang R. Lipid Profiling Reveals Lipidomic Signatures of Weight Loss Interventions. Nutrients 2023; 15:nu15071784. [PMID: 37049623 PMCID: PMC10097218 DOI: 10.3390/nu15071784] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2023] [Revised: 04/01/2023] [Accepted: 04/04/2023] [Indexed: 04/09/2023] Open
Abstract
Obesity is an epidemic all around the world. Weight loss interventions that are effective differ from each other with regard to various lipidomic responses. Here, we aimed to find lipidomic biomarkers that are related to beneficial changes in weight loss. We adopted an untargeted liquid chromatography with tandem mass spectrometry (LC-MS/MS) method to measure 953 lipid species for Exercise (exercise intervention cohort, N = 25), 1388 lipid species for LSG (laparoscopic sleeve gastrectomy cohort, N = 36), and 886 lipid species for Cushing (surgical removal of the ACTH-secreting pituitary adenomas cohort, N = 25). Overall, the total diacylglycerol (DG), triacylglycerol (TG), phosphatidylethanolamine (PE), phosphatidylinositol (PI), phosphatidylserine (PS), and sphingomyelin (SM) levels were associated with changes in BMI, glycated hemoglobin (HbA1c), triglyceride, and total cholesterol according to weight loss interventions. We found that 73 lipid species changed among the three weight loss interventions. We screened 13 lipid species with better predictive accuracy in diagnosing weight loss situations in either Exercise, LSG, or Cushing cohorts (AUROC > 0.7). More importantly, we identified three phosphatidylcholine (PC) lipid species, PC (14:0_18:3), PC (31:1), and PC (32:2) that were significantly associated with weight change in three studies. Our results highlight potential lipidomic biomarkers that, in the future, could be used in personalized approaches involving weight loss interventions.
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Affiliation(s)
- Kaiqing Lin
- School of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China
| | - Wei Cheng
- Department of Endocrinology, Yangpu Hospital, School of Medicine, Tongji University, Shanghai 200090, China
| | - Qiwei Shen
- Department of General Surgery, Huashan Hospital, Fudan University, Shanghai 200433, China
| | - Hui Wang
- Shanghai Key Laboratory of Metabolic Remodeling and Health, Institute of Metabolism & Integrative Biology, Fudan University, Shanghai 200433, China
| | - Ruwen Wang
- School of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China
| | - Shanshan Guo
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Fudan University, Shanghai 200438, China
| | - Xianmin Wu
- School of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China
| | - Wei Wu
- Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200433, China
| | - Peijie Chen
- School of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China
| | - Yongfei Wang
- Department of Neurosurgery, Huashan Hospital, Fudan University, Shanghai 200433, China
| | - Hongying Ye
- Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200433, China
| | - Qiongyue Zhang
- Department of Endocrinology and Metabolism, Huashan Hospital, Fudan University, Shanghai 200433, China
| | - Ru Wang
- School of Exercise and Health, Shanghai Frontiers Science Research Base of Exercise and Metabolic Health, Shanghai University of Sport, Shanghai 200438, China
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Chen L, Xu R, McDonald JD, Bruno RS, Choueiry F, Zhu J. Dairy Milk Casein and Whey Proteins Differentially Alter the Postprandial Lipidome in Persons with Prediabetes: A Comparative Lipidomics Study. JOURNAL OF AGRICULTURAL AND FOOD CHEMISTRY 2022; 70:10209-10220. [PMID: 35948437 PMCID: PMC10352119 DOI: 10.1021/acs.jafc.2c03662] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/14/2023]
Abstract
Dairy milk, likely through its bioactive proteins, has been reported to attenuate postprandial hyperglycemia-induced oxidative stress responses implicated in cardiovascular diseases (CVDs). However, how its major proteins, whey and casein, alter metabolic excursions of the lipidome in persons with prediabetes is unclear. Therefore, the objective of this study was to examine whey or casein protein ingestion on glucose-induced alternations in lipidomic responses in adults (17 males and 6 females) with prediabetes. In this clinical study, participants consumed glucose alone, glucose + nonfat milk (NFM), or glucose with either whey (WHEY) or casein (CASEIN) protein, and plasma samples were collected at multiple time points. Lipidomics data from plasma samples was acquired using an ultra-high-performance liquid chromatography-high-resolution mass spectrometry-based platform. Our results indicated that glucose ingestion alone induced the largest number of changes in plasma lipids. WHEY showed an earlier and stronger impact to maintain the stability of the lipidome compared with CASEIN. WHEY protected against glucose-induced changes in glycerophospholipid and sphingolipid (SP) metabolism, while ether lipid metabolism and SP metabolism were the pathways most greatly impacted in CASEIN. Meanwhile, the decreased acyl carnitines and fatty acid (FA) 16:0 levels could attenuate lipid peroxidation after protein intervention to protect insulin secretory capacity. Diabetes-associated lipids, the increased phosphatidylethanolamine (PE) 34:2 and decreased phosphatidylcholine (PC) 34:3 in the NFM-T90 min, elevated PC 35:4 and decreased CE 18:1 to a CE 18:2 ratio in the WHEY-T180 min, decreased lysophosphatidylcholine (LPC) 22:6 and LPC 22:0/0:0 in the CASEIN-T90 min, and decreased PE 36:1 in the CASEIN-T180 min, indicating a decreased risk for prediabetes. Collectively, our study suggested that dairy milk proteins are responsible for the protective effect of non-fat milk on glucose-induced changes in the lipidome, which may potentially influence long-term CVD risk.
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Affiliation(s)
- Li Chen
- Human Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA
- James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
| | - Rui Xu
- Human Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA
| | - Joshua D. McDonald
- Human Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA
| | - Richard S. Bruno
- Human Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA
| | - Fouad Choueiry
- Human Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA
| | - Jiangjiang Zhu
- Human Nutrition Program, Department of Human Sciences, The Ohio State University, Columbus, OH 43210, USA
- James Comprehensive Cancer Center, The Ohio State University, Columbus, OH 43210, USA
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Yu EA, Alemán JO, Hoover DR, Shi Q, Verano M, Anastos K, Tien PC, Sharma A, Kardashian A, Cohen MH, Golub ET, Michel KG, Gustafson DR, Glesby MJ. Plasma metabolomic analysis indicates flavonoids and sorbic acid are associated with incident diabetes: A nested case-control study among Women's Interagency HIV Study participants. PLoS One 2022; 17:e0271207. [PMID: 35802662 PMCID: PMC9269977 DOI: 10.1371/journal.pone.0271207] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2021] [Accepted: 06/26/2022] [Indexed: 02/02/2023] Open
Abstract
INTRODUCTION Lifestyle improvements are key modifiable risk factors for Type 2 diabetes mellitus (DM) however specific influences of biologically active dietary metabolites remain unclear. Our objective was to compare non-targeted plasma metabolomic profiles of women with versus without confirmed incident DM. We focused on three lipid classes (fatty acyls, prenol lipids, polyketides). MATERIALS AND METHODS Fifty DM cases and 100 individually matched control participants (80% with human immunodeficiency virus [HIV]) were enrolled in a case-control study nested within the Women's Interagency HIV Study. Stored blood samples (1-2 years prior to DM diagnosis among cases; at the corresponding timepoint among matched controls) were assayed in triplicate for metabolomics. Time-of-flight liquid chromatography mass spectrometry with dual electrospray ionization modes was utilized. We considered 743 metabolomic features in a two-stage feature selection approach with conditional logistic regression models that accounted for matching strata. RESULTS Seven features differed by DM case status (all false discovery rate-adjusted q<0.05). Three flavonoids (two flavanones, one isoflavone) were respectively associated with lower odds of DM (all q<0.05), and sorbic acid was associated with greater odds of DM (all q<0.05). CONCLUSION Flavonoids were associated with lower odds of incident DM while sorbic acid was associated with greater odds of incident DM.
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Affiliation(s)
- Elaine A. Yu
- Rollins School of Public Health, Emory University, Atlanta, Georgia, United States of America
| | - José O. Alemán
- Laboratory of Translational Obesity Research, New York University Grossman School of Medicine, New York, New York, United States of America
| | - Donald R. Hoover
- Department of Statistics and Biostatistics, Institute for Health, Health Care Policy and Aging Research, Rutgers University, New Brunswick, New Jersey, United States of America
| | - Qiuhu Shi
- New York Medical College, Valhalla, New York, United States of America
| | - Michael Verano
- Laboratory of Translational Obesity Research, New York University Grossman School of Medicine, New York, New York, United States of America
| | - Kathryn Anastos
- Montefiore Medical Center, Bronx, New York, United States of America
| | - Phyllis C. Tien
- University of California, San Francisco, California, United States of America
- Department of Veterans Affairs Medical Center, San Francisco, California, United States of America
| | - Anjali Sharma
- Montefiore Medical Center, Bronx, New York, United States of America
| | - Ani Kardashian
- University of Southern California, Los Angeles, California, United States of America
| | - Mardge H. Cohen
- Cook County Health & Hospitals System and Rush University, Chicago, Illinois, United States of America
| | - Elizabeth T. Golub
- Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland, United States of America
| | - Katherine G. Michel
- Georgetown University School of Medicine, District of Columbia, United States of America
| | - Deborah R. Gustafson
- State University of New York Downstate Health Sciences University, New York, New York, United States of America
| | - Marshall J. Glesby
- Division of Infectious Diseases, Weill Cornell Medicine, New York, New York, United States of America
- * E-mail:
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9
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Diggins CE, Russo SC, Lo J. Metabolic Consequences of Antiretroviral Therapy. Curr HIV/AIDS Rep 2022; 19:141-153. [PMID: 35299263 DOI: 10.1007/s11904-022-00600-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 01/26/2022] [Indexed: 02/06/2023]
Abstract
PURPOSE OF REVIEW This review reports on published studies describing metabolic changes associated with antiretroviral therapy (ART) to treat HIV disease including a historical perspective of earlier ART agents, but with the main focus on newer ART agents currently in use. RECENT FINDINGS Studies from different countries around the world have shown that integrase inhibitor (INSTI)-based regimens as well as tenofovir alafenamide (TAF) are associated with weight gain, with women and people of black race at especially high risk. Some studies preliminarily suggest worsened metabolic outcomes associated with this weight gain including adverse effects on glucose homeostasis. Antiretroviral therapy can affect weight, adipose tissue, glucose, and lipids. As obesity is prevalent and increasing among people with HIV, awareness of risk factors for weight gain, including the ART medications associated with greater weight gain, are needed in order to inform prevention efforts. Further research is needed to better understand the long-term health consequences of INSTI- and TAF-associated weight increases.
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Affiliation(s)
- Caroline E Diggins
- Metabolism Unit, Division of Endocrinology, Massachusetts General Hospital, LON-207, 55 Fruit Street, Boston, MA, 02114, USA
| | - Samuel C Russo
- Metabolism Unit, Division of Endocrinology, Massachusetts General Hospital, LON-207, 55 Fruit Street, Boston, MA, 02114, USA
| | - Janet Lo
- Metabolism Unit, Division of Endocrinology, Massachusetts General Hospital, LON-207, 55 Fruit Street, Boston, MA, 02114, USA.
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10
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Passaro AP, Marzuillo P, Guarino S, Scaglione F, Miraglia del Giudice E, Di Sessa A. Omics era in type 2 diabetes: From childhood to adulthood. World J Diabetes 2021; 12:2027-2035. [PMID: 35047117 PMCID: PMC8696648 DOI: 10.4239/wjd.v12.i12.2027] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/28/2021] [Revised: 04/01/2021] [Accepted: 11/03/2021] [Indexed: 02/06/2023] Open
Abstract
Parallel to the dramatic rise of pediatric obesity, estimates reported an increased prevalence of type 2 diabetes (T2D) already in childhood. The close relationship between obesity and T2D in children is mainly sustained by insulin resistance (IR). In addition, the cardiometabolic burden of T2D including nonalcoholic fatty liver disease, cardiovascular disease and metabolic syndrome is also strictly related to IR. Although T2D pathophysiology has been largely studied in an attempt to improve therapeutic options, molecular mechanisms are still not fully elucidated. In this perspective, omics approaches (including lipidomics, metabolomics, proteomics and metagenomics) are providing the most attractive therapeutic options for T2D. In particular, distinct both lipids and metabolites are emerging as potential therapeutic tools. Of note, among lipid classes, the pathogenic role of ceramides in T2D context has been supported by several data. Thus, selective changes of ceramides expression might represent innovative therapeutic strategies for T2D treatment. More, distinct metabolomics pathways have been also found to be associated with higher T2D risk, by providing novel potential T2D biomarkers. Taken together, omics data are responsible for the expanding knowledge of T2D pathophysiology, by providing novel insights to improve therapeutic strategies for this tangled disease. We aimed to summarize the most recent evidence in the intriguing field of the omics approaches in T2D both in adults and children.
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Affiliation(s)
- Antonio Paride Passaro
- Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania “Luigi Vanvitelli”, Napoli 80138, Italy
| | - Pierluigi Marzuillo
- Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania “Luigi Vanvitelli”, Napoli 80138, Italy
| | - Stefano Guarino
- Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania “Luigi Vanvitelli”, Napoli 80138, Italy
| | - Federica Scaglione
- Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania “Luigi Vanvitelli”, Napoli 80138, Italy
| | - Emanuele Miraglia del Giudice
- Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania “Luigi Vanvitelli”, Napoli 80138, Italy
| | - Anna Di Sessa
- Department of Woman, Child and of General and Specialized Surgery, Università degli Studi della Campania “Luigi Vanvitelli”, Napoli 80138, Italy
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11
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Ward RA, Aghaeepour N, Bhattacharyya RP, Clish CB, Gaudillière B, Hacohen N, Mansour MK, Mudd PA, Pasupneti S, Presti RM, Rhee EP, Sen P, Spec A, Tam JM, Villani AC, Woolley AE, Hsu JL, Vyas JM. Harnessing the Potential of Multiomics Studies for Precision Medicine in Infectious Disease. Open Forum Infect Dis 2021; 8:ofab483. [PMID: 34805429 PMCID: PMC8598922 DOI: 10.1093/ofid/ofab483] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/31/2021] [Accepted: 09/21/2021] [Indexed: 12/11/2022] Open
Abstract
The field of infectious diseases currently takes a reactive approach and treats infections as they present in patients. Although certain populations are known to be at greater risk of developing infection (eg, immunocompromised), we lack a systems approach to define the true risk of future infection for a patient. Guided by impressive gains in "omics" technologies, future strategies to infectious diseases should take a precision approach to infection through identification of patients at intermediate and high-risk of infection and deploy targeted preventative measures (ie, prophylaxis). The advances of high-throughput immune profiling by multiomics approaches (ie, transcriptomics, epigenomics, metabolomics, proteomics) hold the promise to identify patients at increased risk of infection and enable risk-stratifying approaches to be applied in the clinic. Integration of patient-specific data using machine learning improves the effectiveness of prediction, providing the necessary technologies needed to propel the field of infectious diseases medicine into the era of personalized medicine.
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Affiliation(s)
- Rebecca A Ward
- Division of Infectious Disease, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Nima Aghaeepour
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California, USA
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
- Department of Biomedical Data Science, Stanford University School of Medicine, Palo Alto, California, USA
| | - Roby P Bhattacharyya
- Division of Infectious Disease, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Clary B Clish
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
| | - Brice Gaudillière
- Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Stanford, California, USA
- Division of Neonatal and Developmental Medicine, Department of Pediatrics, Stanford University School of Medicine, Stanford, California, USA
| | - Nir Hacohen
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Cancer for Cancer Research, Massachusetts General Hospital and Harvard Medical School, Boston, Massachusetts, USA
| | - Michael K Mansour
- Division of Infectious Disease, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
| | - Philip A Mudd
- Department of Emergency Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Shravani Pasupneti
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
- Veterans Affairs Palo Alto Health Care System, Medical Service, Palo Alto, California, USA
| | - Rachel M Presti
- Division of Infectious Diseases, Department of lnternal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
- Center for Vaccines and Immunity to Microbial Pathogens, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Eugene P Rhee
- The Nephrology Division and Endocrine Unit, Department of Medicine, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Pritha Sen
- Division of Infectious Disease, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Andrej Spec
- Division of Infectious Diseases, Department of lnternal Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Jenny M Tam
- Harvard Medical School, Boston, Massachusetts, USA
- Wyss Institute for Biologically Inspired Engineering, Harvard University, Boston, Massachusetts, USA
| | - Alexandra-Chloé Villani
- Broad Institute of MIT and Harvard, Cambridge, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
- Center for Immunology and Inflammatory Diseases, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Ann E Woolley
- Division of Infectious Diseases, Brigham and Women’s Hospital, Harvard Medical School, Boston, Massachusetts, USA
| | - Joe L Hsu
- Division of Pulmonary, Allergy and Critical Care Medicine, Department of Medicine, Stanford University School of Medicine, Stanford, California, USA
- Veterans Affairs Palo Alto Health Care System, Medical Service, Palo Alto, California, USA
| | - Jatin M Vyas
- Division of Infectious Disease, Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA
- Harvard Medical School, Boston, Massachusetts, USA
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