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O’Neill KN, Aubrey E, Howe LD, Stergiakouli E, Rodriguez S, Kearney PM, O’Keeffe LM. Mitochondrial DNA haplogroups and trajectories of cardiometabolic risk factors during childhood and adolescence: A prospective cohort study. PLoS One 2023; 18:e0284226. [PMID: 37043466 PMCID: PMC10096512 DOI: 10.1371/journal.pone.0284226] [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: 05/05/2022] [Accepted: 03/27/2023] [Indexed: 04/13/2023] Open
Abstract
BACKGROUND Mitochondria are organelles responsible for converting glucose into energy. Mitochondrial DNA is exclusively maternally inherited. The role of mitochondrial DNA haplogroups in the aetiology of cardiometabolic disease risk is not well understood. METHODS Sex-specific associations between common European mitochondrial DNA haplogroups (H, U, J, T, K, V, W, I and X) and trajectories of cardiometabolic risk factors from birth to 18 years were examined in a prospective cohort. Cardiometabolic risk factors measured from birth/mid-childhood to 18 years included body mass index (BMI), fat and lean mass, systolic and diastolic blood pressure, pulse rate, high-density lipoprotein cholesterol (HDL-c), non-HDL-c and triglycerides. Fractional polynomial and linear spline multilevel models explored the sex-specific association between haplogroups and risk factor trajectories. RESULTS Among a total of 7,954 participants with 79,178 repeated measures per outcome, we found no evidence that haplogroups U, T, J, K and W were associated with cardiometabolic risk factors compared to haplogroup H. In females, haplogroup V was associated with 4.0% (99% CI: -7.5, -0.6) lower BMI at age one but associations did not persist at age 18. Haplogroup X was associated with 1.3kg (99% CI: -2.5, -0.2) lower lean mass at age 9 which persisted at 18. Haplogroup V and X were associated with 9.3% (99% CI: -0.4, 19.0) and 16.4% (99% CI: -0.5,33.3) lower fat mass at age 9, respectively, although confidence intervals spanned the null and associations did not persist at 18. In males, haplogroup I was associated with 2.4% (99% CI: -0.5, 5.3) higher BMI at age 7; widening to 5.1% (99% CI: -0.5, 10.6) at 18 with confidence intervals spanning the null. CONCLUSIONS Our study demonstrated little evidence of sex-specific associations between mitochondrial DNA haplogroups and cardiometabolic risk factors.
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Affiliation(s)
- Kate N. O’Neill
- School of Public Health, University College Cork, Cork, Ireland
| | - Emily Aubrey
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, Bristol, United Kingdom
| | - Laura D. Howe
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, Bristol, United Kingdom
| | - Evie Stergiakouli
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, Bristol, United Kingdom
| | - Santiago Rodriguez
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, Bristol, United Kingdom
| | | | - Linda M. O’Keeffe
- School of Public Health, University College Cork, Cork, Ireland
- MRC Integrative Epidemiology Unit at the University of Bristol, Bristol, United Kingdom
- Population Health Sciences, Bristol Medical School, Bristol, United Kingdom
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Bonakdari H, Pelletier JP, Blanco FJ, Rego-Pérez I, Durán-Sotuela A, Aitken D, Jones G, Cicuttini F, Jamshidi A, Abram F, Martel-Pelletier J. Single nucleotide polymorphism genes and mitochondrial DNA haplogroups as biomarkers for early prediction of knee osteoarthritis structural progressors: use of supervised machine learning classifiers. BMC Med 2022; 20:316. [PMID: 36089590 PMCID: PMC9465912 DOI: 10.1186/s12916-022-02491-1] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/02/2022] [Accepted: 07/20/2022] [Indexed: 11/17/2022] Open
Abstract
BACKGROUND Knee osteoarthritis is the most prevalent chronic musculoskeletal debilitating disease. Current treatments are only symptomatic, and to improve this, we need a robust prediction model to stratify patients at an early stage according to the risk of joint structure disease progression. Some genetic factors, including single nucleotide polymorphism (SNP) genes and mitochondrial (mt)DNA haplogroups/clusters, have been linked to this disease. For the first time, we aim to determine, by using machine learning, whether some SNP genes and mtDNA haplogroups/clusters alone or combined could predict early knee osteoarthritis structural progressors. METHODS Participants (901) were first classified for the probability of being structural progressors. Genotyping included SNP genes TP63, FTO, GNL3, DUS4L, GDF5, SUPT3H, MCF2L, and TGFA; mtDNA haplogroups H, J, T, Uk, and others; and clusters HV, TJ, KU, and C-others. They were considered for prediction with major risk factors of osteoarthritis, namely, age and body mass index (BMI). Seven supervised machine learning methodologies were evaluated. The support vector machine was used to generate gender-based models. The best input combination was assessed using sensitivity and synergy analyses. Validation was performed using tenfold cross-validation and an external cohort (TASOAC). RESULTS From 277 models, two were defined. Both used age and BMI in addition for the first one of the SNP genes TP63, DUS4L, GDF5, and FTO with an accuracy of 85.0%; the second profits from the association of mtDNA haplogroups and SNP genes FTO and SUPT3H with 82.5% accuracy. The highest impact was associated with the haplogroup H, the presence of CT alleles for rs8044769 at FTO, and the absence of AA for rs10948172 at SUPT3H. Validation accuracy with the cross-validation (about 95%) and the external cohort (90.5%, 85.7%, respectively) was excellent for both models. CONCLUSIONS This study introduces a novel source of decision support in precision medicine in which, for the first time, two models were developed consisting of (i) age, BMI, TP63, DUS4L, GDF5, and FTO and (ii) the optimum one as it has one less variable: age, BMI, mtDNA haplogroup, FTO, and SUPT3H. Such a framework is translational and would benefit patients at risk of structural progressive knee osteoarthritis.
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Affiliation(s)
- Hossein Bonakdari
- Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), 900 Saint-Denis, R11.412, Montreal, QC, H2X 0A9, Canada
| | - Jean-Pierre Pelletier
- Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), 900 Saint-Denis, R11.412, Montreal, QC, H2X 0A9, Canada
| | - Francisco J Blanco
- Unidad de Genomica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña, A Coruña, Spain.,Grupo de Investigación de Reumatología Y Salud (GIR-S), Departamento de Fisioterapia, Medicina Y Ciencias Biomédicas, Facultad de Fisioterapia, Universidade da Coruña, Campus de Oza, A Coruña, Spain
| | - Ignacio Rego-Pérez
- Unidad de Genomica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña, A Coruña, Spain
| | - Alejandro Durán-Sotuela
- Unidad de Genomica, Grupo de Investigación de Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña, A Coruña, Spain
| | - Dawn Aitken
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Graeme Jones
- Menzies Institute for Medical Research, University of Tasmania, Hobart, TAS, Australia
| | - Flavia Cicuttini
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Australia
| | - Afshin Jamshidi
- Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), 900 Saint-Denis, R11.412, Montreal, QC, H2X 0A9, Canada
| | | | - Johanne Martel-Pelletier
- Osteoarthritis Research Unit, University of Montreal Hospital Research Centre (CRCHUM), 900 Saint-Denis, R11.412, Montreal, QC, H2X 0A9, Canada.
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Ludwig-Słomczyńska AH, Rehm M. Mitochondrial genome variations, mitochondrial-nuclear compatibility, and their association with metabolic diseases. Obesity (Silver Spring) 2022; 30:1156-1169. [PMID: 35491673 DOI: 10.1002/oby.23424] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2021] [Revised: 02/15/2022] [Accepted: 02/21/2022] [Indexed: 11/10/2022]
Abstract
Two genomes regulate the energy metabolism of eukaryotic cells: the nuclear genome, which codes for most cellular proteins, and the mitochondrial genome, which, together with the nuclear genome, coregulates cellular bioenergetics. Therefore, mitochondrial genome variations can affect, directly or indirectly, all energy-dependent cellular processes and shape the metabolic state of the organism. This review provides a current and up-to-date overview on how codependent these two genomes are, how they appear to have coevolved, and how variations within the mitochondrial genome might be associated with the manifestation of metabolic diseases. This review summarizes and structures results obtained from epidemiological studies that identified links between mitochondrial haplogroups and individual risks for developing obesity and diabetes. This is complemented by findings on the compatibility of mitochondrial and nuclear genomes and cellular bioenergetic fitness, which have been acquired from well-controlled studies in conplastic animal models. These elucidate, more mechanistically, how single-nucleotide variants can influence cellular metabolism and physiology. Overall, it seems that certain mitochondrial genome variations negatively affect mitochondrial-nuclear compatibility and are statistically linked with the onset of metabolic diseases, whereas, for others, greater uncertainty exists, and additional research into this exciting field is required.
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Affiliation(s)
| | - Markus Rehm
- Institute of Cell Biology and Immunology, University of Stuttgart, Stuttgart, Germany
- Stuttgart Research Center Systems Biology, University of Stuttgart, Stuttgart, Germany
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Ramos-Louro P, Arellano Pérez Vertti RD, Reyes AL, Martínez-Nava GA, Espinosa R, Pineda C, González Galarza FF, Argüello Astorga R, Aguilar Muñiz LS, Hernández Terán F, Parra Torres NM, Durán Sotuela A, Fernández-Moreno M, Balboa Barreiro V, Blanco FJ, Rego-Pérez I. mtDNA haplogroup A enhances the effect of obesity on the risk of knee OA in a Mexican population. Sci Rep 2022; 12:5173. [PMID: 35338224 PMCID: PMC8956628 DOI: 10.1038/s41598-022-09265-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 03/16/2022] [Indexed: 11/20/2022] Open
Abstract
To evaluate the influence of mitochondrial DNA haplogroups on the risk of knee OA in terms of their interaction with obesity, in a population from Mexico. Samples were obtained from (n = 353) knee OA patients (KL grade ≥ I) and (n = 364) healthy controls (KL grade = 0) from Mexico city and Torreon (Mexico). Both Caucasian and Amerindian mtDNA haplogroups were assigned by single base extension assay. A set of clinical and demographic variables, including obesity status, were considered to perform appropriate statistical approaches, including chi-square contingency tables, regression models and interaction analyses. To ensure the robustness of the predictive model, a statistical cross-validation strategy of B = 1000 iterations was used. All the analyses were performed using boot, GmAMisc and epiR package from R software v4.0.2 and SPSS software v24. The frequency distribution of the mtDNA haplogroups between OA patients and healthy controls for obese and non-obese groups showed the haplogroup A as significantly over-represented in knee OA patients within the obese group (OR 2.23; 95% CI 1.22–4.05; p-value = 0.008). The subsequent logistic regression analysis, including as covariate the interaction between obesity and mtDNA haplogroup A, supported the significant association of this interaction (OR 2.57; 95% CI 1.24–5.32; p-value = 0.011). The statistical cross-validation strategy confirmed the robustness of the regression model. The data presented here indicate a link between obesity in knee OA patients and mtDNA haplogroup A.
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Affiliation(s)
- Paula Ramos-Louro
- Grupo de Investigación en Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), C/ As Xubias de Arriba 84, 15006, A Coruña, Spain
| | | | - Alberto López Reyes
- Laboratorio de Gerociencias, Departamento de Reumatología Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Mexico, Mexico
| | - Gabriela Angélica Martínez-Nava
- Laboratorio de Gerociencias, Departamento de Reumatología Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Mexico, Mexico
| | - Rolando Espinosa
- Laboratorio de Gerociencias, Departamento de Reumatología Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Mexico, Mexico
| | - Carlos Pineda
- Laboratorio de Gerociencias, Departamento de Reumatología Dirección General, Instituto Nacional de Rehabilitación Luis Guillermo Ibarra Ibarra, Secretaría de Salud, Mexico, Mexico
| | | | | | | | | | | | - Alejandro Durán Sotuela
- Grupo de Investigación en Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), C/ As Xubias de Arriba 84, 15006, A Coruña, Spain
| | - Mercedes Fernández-Moreno
- Grupo de Investigación en Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), C/ As Xubias de Arriba 84, 15006, A Coruña, Spain
| | - Vanesa Balboa Barreiro
- Grupo de Investigación en Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), C/ As Xubias de Arriba 84, 15006, A Coruña, Spain
| | - Francisco J Blanco
- Grupo de Investigación en Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), C/ As Xubias de Arriba 84, 15006, A Coruña, Spain. .,Grupo de Investigación en Reumatología y Salud, Departamento de Fisioterapia, Medicina y Ciencias Biomédicas, Facultad de Fisioterapia, Universidade da Coruña (UDC), Campus de Oza, 15008, A Coruña, Spain.
| | - Ignacio Rego-Pérez
- Grupo de Investigación en Reumatología (GIR), Instituto de Investigación Biomédica de A Coruña (INIBIC), Complexo Hospitalario Universitario de A Coruña (CHUAC), Sergas, Universidade da Coruña (UDC), C/ As Xubias de Arriba 84, 15006, A Coruña, Spain.
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5
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Agius R, Pace NP, Fava S. Reduced leukocyte mitochondrial copy number in metabolic syndrome and metabolically healthy obesity. Front Endocrinol (Lausanne) 2022; 13:886957. [PMID: 35957819 PMCID: PMC9357898 DOI: 10.3389/fendo.2022.886957] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/01/2022] [Accepted: 06/29/2022] [Indexed: 02/06/2023] Open
Abstract
OBJECTIVE This study aimed to investigate the associations between peripheral blood leukocyte mitochondrial copy number, metabolic syndrome, and adiposity-related body composition phenotypes in a high prevalence population. METHODS A single center cross-sectional study was conducted, consisting of 521 middle-aged subjects of Maltese-Caucasian ethnicity. Participants were stratified according to the presence of metabolic syndrome and different metabolic health definitions based on NCEP-ATP III criteria. Relative leukocyte mitochondrial DNA copy number was determined by quantitative polymerase chain reaction and corrected for leukocyte and platelet count. The associations between mitochondrial copy number and metabolic syndrome components was evaluated and adjusted for age and gender. RESULTS Significant negative correlations between mtDNA copy number and BMI, waist circumference, triglyceride levels, fasting plasma glucose, HbA1c, HOMA-IR and hsCRP were observed, along with a positive correlation with HDL-C levels. Mitochondrial copy number was lower in individuals with metabolic syndrome. When compared to metabolically healthy normal weight subjects, a reduction in mtDNA copy number was observed in both the metabolically healthy and unhealthy obese categories. CONCLUSION Our data supports the association between reduced leukocyte mtDNA copy number, obesity, and metabolic syndrome. This investigation expands on the spectrum of associations between mtDNA copy number and metabolic phenotypes in different populations and underpins the role of mitochondrial dysfunction in the development and progression of metabolic syndrome and its components.
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Affiliation(s)
- Rachel Agius
- Faculty of Medicine and Surgery, University of Malta, Msida, Malta
- Department of Medicine, Mater Dei Hospital, Msida, Malta
| | - Nikolai Paul Pace
- Faculty of Medicine and Surgery, University of Malta, Msida, Malta
- Centre for Molecular Medicine and Biobanking, University of Malta, Msida, Malta
- *Correspondence: Nikolai Paul Pace,
| | - Stephen Fava
- Faculty of Medicine and Surgery, University of Malta, Msida, Malta
- Department of Medicine, Mater Dei Hospital, Msida, Malta
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Friedrich VK, Rubel MA, Schurr TG. Mitochondrial genetic variation in human bioenergetics, adaptation, and adult disease. Am J Hum Biol 2021; 34:e23629. [PMID: 34146380 DOI: 10.1002/ajhb.23629] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/18/2020] [Revised: 05/27/2021] [Accepted: 05/28/2021] [Indexed: 12/16/2022] Open
Abstract
OBJECTIVES Mitochondria are critical for the survival of eukaryotic organisms due to their ability to produce cellular energy, which drives virtually all aspects of host biology. However, the effects of mitochondrial DNA (mtDNA) variation in relation to disease etiology and adaptation within contemporary global human populations remains incompletely understood. METHODS To develop a more holistic understanding of the role of mtDNA diversity in human adaptation, health, and disease, we investigated mitochondrial biology and bioenergetics. More specifically, we synthesized details from studies of mitochondrial function and variation in the context of haplogroup background, climatic adaptation, and oxidative disease. RESULTS The majority of studies show that mtDNA variation arose during modern human dispersal around the world. Some of these variants appear to have been positively selected for their adaptiveness in colder climates, with these sequence changes having implications for tissue-specific function and thermogenic capacity. In addition, many variants modulating energy production are also associated with damaging metabolic byproducts and mitochondrial dysfunction, which, in turn, are implicated in the onset and severity of several different adult mitochondrial diseases. Thus, mtDNA variation that governs bioenergetics, metabolism, and thermoregulation may potentially have adverse consequences for human health, depending on the genetic background and context in which it occurs. CONCLUSIONS Our review suggests that the mitochondrial research field would benefit from independently replicating mtDNA haplogroup-phenotype associations across global populations, incorporating potentially confounding environmental, demographic, and disease covariates into studies of mtDNA variation, and extending association-based studies to include analyses of complete mitogenomes and assays of mitochondrial function.
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Affiliation(s)
- Volney K Friedrich
- Department of Anthropology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
| | - Meagan A Rubel
- Department of Anthropology, University of Pennsylvania, Philadelphia, Pennsylvania, USA.,Center for Translational Imaging and Precision Medicine, University of California - San Diego, La Jolla, California, USA
| | - Theodore G Schurr
- Department of Anthropology, University of Pennsylvania, Philadelphia, Pennsylvania, USA
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Erlandson KM, Wu K, Lake JE, Samuels DC, Bares SH, Tassiopoulos K, Koethe JR, Brown TT, Leonard M, Benson CA, Haas DW, Hulgan T. Mitochondrial DNA haplogroups and weight gain following switch to integrase strand transfer inhibitor-based antiretroviral therapy. AIDS 2021; 35:439-445. [PMID: 33252493 PMCID: PMC7951953 DOI: 10.1097/qad.0000000000002771] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023]
Abstract
BACKGROUND Integrase strand transfer inhibitor (INSTI)-based antiretroviral therapy (ART) has been associated with excess weight gain in some adults, which may be influenced by genetic factors. We assessed mitochondrial DNA (mtDNA) haplogroups and weight gain following switch to INSTI-based ART. METHODS All AIDS Clinical Trials Group A5001 and A5322 participants with mtDNA genotyping who switched to INSTI were included. mtDNA haplogroups were derived from prior genotyping algorithms. Race/ethnicity-stratified piecewise linear mixed effects models assessed the relationship between mtDNA haplogroup and weight change slope differences before and after switch to INSTI. RESULTS A total of 291 adults switched to INSTI: 78% male, 50% non-Hispanic White, 28% non-Hispanic Black, and 22% Hispanic. The most common European haplogroups were H [n = 66 (45%)] and UK [32 (22%)]. Non-H European haplogroups had a significant increase in weight slope after the switch. This difference was greatest among non-H clade UK on INSTI-based regimens that included tenofovir alafenamide (TAF) [3.67 (95% confidence interval 1.12, 6.21) kg/year; P = 0.005]. Although small sample size limited analyses among non-Hispanic Black and Hispanic persons, similarly significant weight gain was seen among the most common African haplogroup, L3 [n = 29 (39%); slope difference 4.93 (1.54, 8.32) kg/year, P = 0.005], after switching to TAF-containing INSTI-based ART. CONCLUSION Those in European mtDNA haplogroup clade UK and African haplogroup L3 had significantly greater weight gain after switching to INSTI-based ART, especially those receiving TAF. Additional studies in large and diverse populations are needed to clarify the mechanisms and host risk factors for weight gain after switching to INSTI-based ART, with and without TAF.
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Affiliation(s)
| | - Kunling Wu
- Harvard T. H. Chan School of Public Health, Boston, MA, USA
| | - Jordan E. Lake
- University of Texas Health Science Center at Houston, Houston, TX, USA
| | | | - Sara H. Bares
- University of Nebraska Medical Center, Omaha, NE, USA
| | | | - John R. Koethe
- Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | | | - David W. Haas
- Vanderbilt University Medical Center, Nashville, TN, USA
- Meharry Medical College, Nashville, TN, USA
| | - Todd Hulgan
- Vanderbilt University Medical Center, Nashville, TN, USA
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Dashti M, Alsaleh H, Eaaswarkhanth M, John SE, Nizam R, Melhem M, Hebbar P, Sharma P, Al-Mulla F, Thanaraj TA. Delineation of Mitochondrial DNA Variants From Exome Sequencing Data and Association of Haplogroups With Obesity in Kuwait. Front Genet 2021; 12:626260. [PMID: 33659027 PMCID: PMC7920096 DOI: 10.3389/fgene.2021.626260] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/05/2020] [Accepted: 01/13/2021] [Indexed: 11/15/2022] Open
Abstract
BACKGROUND/OBJECTIVES Whole-exome sequencing is a valuable tool to determine genetic variations that are associated with rare and common health conditions. A limited number of studies demonstrated that mitochondrial DNA can be captured using whole-exome sequencing. Previous studies have suggested that mitochondrial DNA variants and haplogroup lineages are associated with obesity. Therefore, we investigated the role of mitochondrial variants and haplogroups contributing to the risk of obesity in Arabs in Kuwait using exome sequencing data. SUBJECTS/METHODS Indirect mitochondrial genomes were extracted from exome sequencing data from 288 unrelated native Arab individuals from Kuwait. The cohort was divided into obese [body mass index (BMI) ≥ 30 kg/m2] and non-obese (BMI < 30 kg/m2) groups. Mitochondrial variants were identified, and haplogroups were classified and compared with other sequencing technologies. Statistical analysis was performed to determine associations and identify mitochondrial variants and haplogroups affecting obesity. RESULTS Haplogroup R showed a protective effect on obesity [odds ratio (OR) = 0.311; P = 0.006], whereas haplogroup L individuals were at high risk of obesity (OR = 2.285; P = 0.046). Significant differences in mitochondrial variants between the obese and non-obese groups were mainly haplogroup-defining mutations and were involved in processes in energy generation. The majority of mitochondrial variants and haplogroups extracted from exome were in agreement with technical replica from Sanger and whole-genome sequencing. CONCLUSIONS This is the first to utilize whole-exome data to extract entire mitochondrial haplogroups to study its association with obesity in an Arab population.
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Affiliation(s)
- Mohammed Dashti
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Hussain Alsaleh
- Kuwait Identification DNA Laboratory, General Department of Criminal Evidence, Ministry of Interior, Kuwait City, Kuwait
| | | | - Sumi Elsa John
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Rasheeba Nizam
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Motasem Melhem
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Prashantha Hebbar
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Prem Sharma
- Department Special Services Facilities, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Fahd Al-Mulla
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Kuwait City, Kuwait
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Dashti M, Alsaleh H, Rodriguez-Flores JL, Eaaswarkhanth M, Al-Mulla F, Thanaraj TA. Mitochondrial haplogroup J associated with higher risk of obesity in the Qatari population. Sci Rep 2021; 11:1091. [PMID: 33441698 PMCID: PMC7806807 DOI: 10.1038/s41598-020-80040-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 12/16/2020] [Indexed: 11/10/2022] Open
Abstract
Obesity, a major risk factor for metabolic disorders, is highly prevalent in Qatari population. Maternal transmission of obesity traits can be significant; for example, X haplogroup is known to be associated with lower BMI and body fat mass in Northern Europeans and T haplogroup which is a sister haplogroup of J is known to be associated with obesity in Caucasian subjects from Austria and Southern Italy. We aimed to delineate the mitochondrial haplogroups and variants associated with obesity in Qatari population. Mitochondrial genomes of 864 Qatari individuals were extracted from whole exome sequencing data with an average coverage of 77X. We distributed the participants into 2 sub-cohorts: obese (BMI ≥ 30) and non-obese (BMI < 30); the mean value of BMI from these two groups were 36.5 ± 5.7 and 26.5 ± 2.6, respectively. Mitochondrial haplogroup profiling followed by uni- and multivariant association tests adjusted for covariates were performed. Qatari individuals with mitochondrial haplogroup J had an increased (twofold) risk of obesity (odds ratio [OR] 1.925; 95% CI 1.234–3.002; P = 0.0038; the Bonferroni adjusted P value threshold is 0.0041), whereas the individuals with haplogroup X were at low risk of obesity (OR 0.387; 95% CI 0.175–0.857; P = 0.019). Further, a set of 38 mitochondrial variants were found to be associated (at P ≤ 0.05) with obesity in models adjusted for age, sex and haplogroup.
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Affiliation(s)
- Mohammed Dashti
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Kuwait City, Kuwait
| | - Hussain Alsaleh
- Kuwait Identification DNA Laboratory, General Department of Criminal Evidence, Ministry of Interior, Kuwait City, Kuwait
| | | | | | - Fahd Al-Mulla
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Kuwait City, Kuwait.
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Eaaswarkhanth M, Melhem M, Sharma P, Nizam R, Al Madhoun A, Chaubey G, Alsmadi O, AlOzairi E, Al-Mulla F. Mitochondrial DNA D-loop sequencing reveals obesity variants in an Arab population. APPLICATION OF CLINICAL GENETICS 2019; 12:63-70. [PMID: 31213875 PMCID: PMC6541754 DOI: 10.2147/tacg.s198593] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2018] [Accepted: 04/13/2019] [Indexed: 01/11/2023]
Abstract
Background: The association of mitochondrial DNA (mtDNA) variations with obesity has been investigated in diverse populations across the world. However, such obesity-associated mtDNA examinations are rarely conducted in Arab populations. Materials and methods: We re-sequenced mtDNA displacement loop (D-loop) region of 395 Arab individuals of Kuwait. We categorized the individuals based on their BMI scores as obese (n=232; BMI ≥30 kg/m2), overweight (n=110; BMI ≥25 kg/m2 and <30 kg/m2), and lean (n=53; BMI <25 kg/m2). We performed all the statistical tests by combining obese and overweight individuals in one group. Association analyses were conducted applying Fisher's exact test and logistic regression model. Results: We identified that the mtDNA variations m.73A>G, and m.523delAC were positively correlated with obesity, while m.310T>C, and m.16318A>T were negatively associated. All these variants, except m.16318A>T, remain statistically significant after adjusting for age and gender. We found that the variant m.73A>G increases the likelihood of being obese by 6-fold, whereas haplogroup H decreases the probability of being obese in Arab individuals of Kuwait. Haplotype analysis revealed that a haplotype, A263G-C309CT-T310C, defining the H2a clade of H haplogroup, reduces the probability of being obese. Conclusion: Our study reports, for the first time, the obesity-related mtDNA variants in Arabs of Kuwait. Based on the mtDNA D-loop region variations, we detected particular variants and haplogroup that are related with increased and decreased probability of being obese in the Kuwait Arab population.
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Affiliation(s)
| | - Motasem Melhem
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Dasman, 15462, Kuwait
| | - Prem Sharma
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Dasman, 15462, Kuwait
| | - Rasheeba Nizam
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Dasman, 15462, Kuwait
| | - Ashraf Al Madhoun
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Dasman, 15462, Kuwait
| | - Gyaneshwer Chaubey
- Cytogenetics Laboratory, Department of Zoology, Banaras Hindu University, Varanasi, India
| | - Osama Alsmadi
- Department of Cell Therapy & Applied Genomics, King Hussein Cancer Center, Amman, Jordan
| | - Ebaa AlOzairi
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Dasman, 15462, Kuwait
| | - Fahd Al-Mulla
- Genetics and Bioinformatics Department, Dasman Diabetes Institute, Dasman, 15462, Kuwait
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