1
|
Das SK, Comeau ME, Langefeld CD. Metaboepigenetic regulation of gene expression in obesity and insulin resistance. Metabolomics 2024; 20:91. [PMID: 39096438 DOI: 10.1007/s11306-024-02159-2] [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: 04/01/2024] [Accepted: 07/23/2024] [Indexed: 08/05/2024]
Abstract
INTRODUCTION Variation in DNA methylation (DNAm) in adipose tissue is associated with the pathogenesis of obesity and insulin resistance. The activity of enzymes involved in altering DNAm levels is dependent on several metabolite cofactors. OBJECTIVES To understand the role of metabolites as mechanistic regulators of epigenetic marks, we tested the association between selected plasma metabolites and DNAm levels in the adipose tissue of African Americans. METHODS In the AAGMEx cohort (N = 256), plasma levels of metabolites were measured by untargeted liquid chromatography-mass spectrometry; adipose tissue DNAm and transcript levels were measured by reduced representation bisulfite sequencing, and expression microarray, respectively. RESULTS Among the 21 one-carbon metabolism pathway metabolites evaluated, six were associated with gluco-metabolic traits (PFDR < 0.05, for BMI, SI, or Matsuda index) in AAGMEx. Methylation levels of 196, 116, and 180 CpG-sites were associated (P < 0.0001) with S-adenosylhomocysteine (SAH), cystine, and hypotaurine, respectively. Cis-expression quantitative trait methylation (cis eQTM) analyses suggested the role of metabolite-level-associated CpG sites in regulating the expression of adipose tissue transcripts, including genes in G-protein coupled receptor signaling pathway. Plasma SAH level-associated CpG sites chr19:3403712 and chr19:3403735 were also associated with the expression of G-protein subunit alpha 15 (GNA15) in adipose. The expression of GNA15 was significantly correlated with BMI (β = 1.87, P = 1.9 × 10-16) and SI (β = -1.61, P = 2.49 × 10-5). CONCLUSION Our study suggests that a subset of metabolites modulates the methylation levels of CpG sites in specific loci and, in turn, regulates the expression of transcripts involved in obesity and insulin resistance.
Collapse
Affiliation(s)
- Swapan K Das
- Department of Internal Medicine, Section of Endocrinology and Metabolism, Medical Center Boulevard, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
| | - Mary E Comeau
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest University School of Medicine, Winston-Salem, NC, USA
- Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC, USA
| |
Collapse
|
2
|
Key CCC, Seramur M, McDonald B, Davis MD, Woods LS. GRK5 is required for adipocyte differentiation through ERK activation. RESEARCH SQUARE 2024:rs.3.rs-4360297. [PMID: 38798474 PMCID: PMC11118684 DOI: 10.21203/rs.3.rs-4360297/v1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/29/2024]
Abstract
Previous studies have identified G protein-coupled receptor (GPCR) kinase 5 (GRK5) as a genetic factor contributing to obesity pathogenesis, but the underlying mechanism remains unclear. We demonstrate here that Grk5 mRNA is more abundant in stromal vascular fractions of mouse white adipose tissue, the fraction that contains adipose progenitor cells, or committed pre-adipocytes, than in adipocyte fractions. Thus, we generated a GRK5 knockout (KO) 3T3-L1 pre-adipocyte to further investigate the mechanistic role of GRK5 in regulating adipocyte differentiation. During adipogenic stimulation, GRK5 KO pre-adipocytes were unable to achieve mature adipocyte morphology and lipid accumulation compared to wildtype cells coupled with suppressed adipogenic and lipogenic gene expression. Beside GPCR signaling, RNA sequencing and pathway analysis identified insulin-like growth factor 1 (IGF-1) signaling to be one of the top 5 significantly dysregulated pathways in GRK5 KO cells. GRK5 KO cells also displayed decreased insulin-stimulated ERK phosphorylation, a downstream target of insulin-stimulated IGF-1 receptor activation, suggesting that GRK5 acts through this critical pathway to impact 3T3-L1 adipocyte differentiation. To find a more translational approach, we identified a new small molecule GRK5 inhibitor that was able to reduce 3T3-L1 adipogenesis. These data suggest that GRK5 is required for adipocyte differentiation through IGF-1 receptor/ERK activation and may be a promising translational target for obesity.
Collapse
|
3
|
Das SS, Das SK. Common and ethnic-specific derangements in skeletal muscle transcriptome associated with obesity. Int J Obes (Lond) 2024; 48:330-338. [PMID: 37993634 DOI: 10.1038/s41366-023-01417-y] [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: 07/07/2023] [Revised: 10/25/2023] [Accepted: 11/07/2023] [Indexed: 11/24/2023]
Abstract
BACKGROUND Obesity is a common disease with a higher prevalence among African Americans. Obesity alters cellular function in many tissues, including skeletal muscle, and is a risk factor for many life-threatening diseases, including cardiovascular disease and diabetes. The similarities and differences in molecular mechanisms that may explain ethnic disparities in obesity between African and European ancestry individuals have not been studied. METHODS In this study, data from transcriptome-wide analyses on skeletal muscle tissues from well-powered human cohorts were used to compare genes and biological pathways affected by obesity in European and African ancestry populations. Data on obesity-induced differentially expressed transcripts and GWAS-identified SNPs were integrated to prioritize target genes for obesity-associated genetic variants. RESULTS Linear regression analysis in the FUSION (European, N = 301) and AAGMEx (African American, N = 256) cohorts identified a total of 2569 body mass index (BMI)-associated transcripts (q < 0.05), of which 970 genes (at p < 0.05) are associated in both cohorts, and the majority showed the same direction of effect on BMI. Biological pathway analyses, including over-representation and gene-set enrichment analyses, identified enrichment of protein synthesis pathways (e.g., ribosomal function) and the ceramide signaling pathway in both cohorts among BMI-associated down- and up-regulated transcripts, respectively. A comparison using the IPA-tool suggested the activation of inflammation pathways only in Europeans with obesity. Interestingly, these analyses suggested repression of the mitochondrial oxidative phosphorylation pathway in Europeans but showed its activation in African Americans. Integration of SNP-to-Gene analyses-predicted target genes for obesity-associated genetic variants (GWAS-identified SNPs) and BMI-associated transcripts suggested that these SNPs might cause obesity by altering the expression of 316 critical target genes (e.g., GRB14) in the muscle. CONCLUSIONS This study provides a replication of obesity-associated transcripts and biological pathways in skeletal muscle across ethnicities, but also identifies obesity-associated processes unique in either African or European ancestry populations.
Collapse
Affiliation(s)
- Sreejon S Das
- The School of Biotechnology at Atkins, Atkins Academic and Technology High, Winston-Salem, NC, 27101, USA
| | - Swapan K Das
- Department of Internal Medicine, Section of Endocrinology and Metabolism, Wake Forest University School of Medicine, Winston-Salem, NC, 27157, USA.
| |
Collapse
|
4
|
Zhao Q, Du X, Liu F, Zhang Y, Qin W, Zhang Q. ECHDC3 Variant Regulates the Right Hippocampal Microstructural Integrity and Verbal Memory in Type 2 Diabetes Mellitus. Neuroscience 2024; 538:30-39. [PMID: 38070593 DOI: 10.1016/j.neuroscience.2023.12.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 11/29/2023] [Accepted: 12/02/2023] [Indexed: 12/25/2023]
Abstract
ECHDC3 is a risk gene for white matter (WM) hyperintensity and is associated with insulin resistance. This study aimed to investigate whether ECHDC3 variants selectively regulate brain WM microstructures and episodic memory in patients with type 2 diabetes mellitus (T2DM). We enrolled 106 patients with T2DM and 111 healthy controls. A voxel-wise general linear model was employed to explore the interaction effect between ECHDC3 rs11257311 polymorphism and T2DM diagnosis on fractional anisotropy (FA). A linear modulated mediation analysis was conducted to examine the potential of FA value to mediate the influence of T2DM on episodic memory in an ECHDC3-dependent manner. We observed a noteworthy interaction between genotype and diagnosis on FA in the right inferior temporal WM, right anterior limb of the internal capsule, right frontal WM, and the right hippocampus. Modulated mediation analysis revealed a significant ECHDC3 modulation on the T2DM → right hippocampal FA → short-term memory pathway, with only rs11257311 G risk homozygote demonstrating significant mediation effect. Together, our findings provide evidence of ECHDC3 modulating the effect of T2DM on right hippocampal microstructural impairment and short-term memory decline, which might be a neuro-mechanism for T2DM related episodic memory impairment.
Collapse
Affiliation(s)
- Qiyu Zhao
- Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Xin Du
- Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Feng Liu
- Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Yang Zhang
- Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China
| | - Wen Qin
- Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.
| | - Quan Zhang
- Department of Medical Imaging and Tianjin Key Laboratory of Functional Imaging, Tianjin Medical University General Hospital, Tianjin 300052, China.
| |
Collapse
|
5
|
Xu P, Wang M, Sharma NK, Comeau ME, Wabitsch M, Langefeld CD, Civelek M, Zhang B, Das SK. Multi-omic integration reveals cell-type-specific regulatory networks of insulin resistance in distinct ancestry populations. Cell Syst 2023; 14:41-57.e8. [PMID: 36630956 PMCID: PMC9852073 DOI: 10.1016/j.cels.2022.12.005] [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: 03/03/2022] [Revised: 09/26/2022] [Accepted: 12/13/2022] [Indexed: 01/12/2023]
Abstract
Our knowledge of the cell-type-specific mechanisms of insulin resistance remains limited. To dissect the cell-type-specific molecular signatures of insulin resistance, we performed a multiscale gene network analysis of adipose and muscle tissues in African and European ancestry populations. In adipose tissues, a comparative analysis revealed ethnically conserved cell-type signatures and two adipocyte subtype-enriched modules with opposite insulin sensitivity responses. The modules enriched for adipose stem and progenitor cells as well as immune cells showed negative correlations with insulin sensitivity. In muscle tissues, the modules enriched for stem cells and fibro-adipogenic progenitors responded to insulin sensitivity oppositely. The adipocyte and muscle fiber-enriched modules shared cellular-respiration-related genes but had tissue-specific rearrangements of gene regulations in response to insulin sensitivity. Integration of the gene co-expression and causal networks further pinpointed key drivers of insulin resistance. Together, this study revealed the cell-type-specific transcriptomic networks and signaling maps underlying insulin resistance in major glucose-responsive tissues. A record of this paper's transparent peer review process is included in the supplemental information.
Collapse
Affiliation(s)
- Peng Xu
- Department of Genetics & Genomic Sciences, Mount Sinai Center for Transformative Disease Modeling, Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Minghui Wang
- Department of Genetics & Genomic Sciences, Mount Sinai Center for Transformative Disease Modeling, Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA
| | - Neeraj K Sharma
- Department of Internal Medicine, Section of Endocrinology and Metabolism, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Mary E Comeau
- Department of Biostatistics and Data Science, Division of Public Health Sciences, and Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Martin Wabitsch
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Eythstr. 24, D-89075 Ulm, Germany
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Division of Public Health Sciences, and Center for Precision Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA
| | - Mete Civelek
- Center for Public Health Genomics, Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22908, USA
| | - Bin Zhang
- Department of Genetics & Genomic Sciences, Mount Sinai Center for Transformative Disease Modeling, Icahn Genomics Institute, Icahn School of Medicine at Mount Sinai, New York, NY 10029, USA.
| | - Swapan K Das
- Department of Internal Medicine, Section of Endocrinology and Metabolism, Wake Forest University School of Medicine, Winston-Salem, NC 27157, USA.
| |
Collapse
|
6
|
Hu S, Guo W, Shen Y. Potential link between the nerve injury-induced protein (Ninjurin) and the pathogenesis of endometriosis. Int Immunopharmacol 2023; 114:109452. [PMID: 36446236 DOI: 10.1016/j.intimp.2022.109452] [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: 09/19/2022] [Revised: 10/29/2022] [Accepted: 11/10/2022] [Indexed: 11/27/2022]
Abstract
Endometriosis remains a widespread but severe gynecological disease in women of reproductive age, with an unknown etiology and few treatment choices. The menstrual reflux theory is largely accepted as the underlying etiology but does not explain the morbidity or unpleasant pain sensations of endometriosis. The neurological and immune systems are both involved in pain mechanisms of endometriosis, and interlinked through a complex combination of cytokines and neurotransmitters. Numerous pieces of evidence suggest that the nerve injury-inducible protein, Ninjurin, is actively expressed in endometriosis lesions, which contributes to the etiology and development of endometriosis. It may be explored in the future as a novel therapeutic target. The aim of the present review was to elucidate the multifaceted role of Ninjurin. Furthermore, we summarize the association of Ninjurin with the pain mechanism of endometriosis and outline the future research directions. A novel therapeutic pathway can be discovered based on the potential pathogenic variables.
Collapse
Affiliation(s)
- Sijian Hu
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Weina Guo
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China
| | - Yi Shen
- Department of Obstetrics and Gynecology, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.
| |
Collapse
|
7
|
Hwang SJ, Ahn BJ, Shin MW, Song YS, Choi Y, Oh GT, Kim KW, Lee HJ. miR-125a-5p attenuates macrophage-mediated vascular dysfunction by targeting Ninjurin1. Cell Death Differ 2022; 29:1199-1210. [PMID: 34974535 PMCID: PMC9177769 DOI: 10.1038/s41418-021-00911-y] [Citation(s) in RCA: 21] [Impact Index Per Article: 10.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2021] [Revised: 11/18/2021] [Accepted: 11/19/2021] [Indexed: 12/13/2022] Open
Abstract
Ninjurin1 (Ninj1), an adhesion molecule, regulates macrophage function in hyaloid regression, multiple sclerosis, and atherosclerosis. However, its biological relevance and the mechanism underlying its function in vascular network integrity have not been studied. In this study, we investigated the role of Ninj1 in physiological (postnatal vessel formation) and pathological (endotoxin-mediated inflammation and diabetes) conditions and developed a strategy to regulate Ninj1 using specific micro (mi)RNAs under pathological conditions. Ninj1-deficient mice exhibited decreased hyaloid regression, tip cell formation, retinal vascularized area, recruitment of macrophages, and endothelial apoptosis during postnatal development, resulting in delayed formation of the vascular network. Five putative miRNAs targeting Ninj1 were selected using the miRanda algorithm and comparison of expression patterns. Among them, miR-125a-5p showed a profound inhibitory effect on Ninj1 expression, and miR-125a-5p mimic suppressed the cell-to-cell and cell-to-matrix adhesion of macrophages and expression of pro-inflammatory factors mediated by Ninj1. Furthermore, miR-125a-5p mimic inhibited the recruitment of macrophages into inflamed retinas in endotoxin-induced inflammation and streptozotocin-induced diabetes in vivo. In particular, miR-125a-5p mimic significantly attenuated vascular leakage in diabetic retinopathy. Taken together, these findings suggest that Ninj1 plays a pivotal role in macrophage-mediated vascular integrity and that miR-125a-5p acts as a novel regulator of Ninj1 in the management of inflammatory diseases and diabetic retinopathy.
Collapse
Affiliation(s)
- Su Jung Hwang
- School of Pharmacy, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, South Korea
- College of Pharmacy, Inje University, 607 Obang-dong, Gimhae, Gyungnam, 621-749, South Korea
| | - Bum Ju Ahn
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, South Korea
| | - Min-Wook Shin
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, South Korea
| | - Ye-Seul Song
- School of Pharmacy, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, South Korea
| | - Youngbin Choi
- School of Pharmacy, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, South Korea
| | - Goo Taeg Oh
- Immune and Vascular Cell Network Research Center, National Creative Initiatives, Department of Life Sciences, Ewha Womans University, Seoul, 03760, South Korea
| | - Kyu-Won Kim
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, South Korea
| | - Hyo-Jong Lee
- School of Pharmacy, Sungkyunkwan University, 2066 Seobu-ro, Jangan-gu, Suwon, Gyeonggi-do, 16419, South Korea.
| |
Collapse
|
8
|
Crouse WL, Das SK, Le T, Keele G, Holl K, Seshie O, Craddock A, Sharma NK, Comeau ME, Langefeld C, Hawkins GA, Mott R, Valdar W, Solberg Woods LC. Transcriptome-wide analyses of adipose tissue in outbred rats reveal genetic regulatory mechanisms relevant for human obesity. Physiol Genomics 2022; 54:206-219. [PMID: 35467982 DOI: 10.1152/physiolgenomics.00172.2021] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
Transcriptomic analysis in metabolically active tissues allows a systems genetics approach to identify causal genes and networks involved in metabolic disease. Outbred heterogeneous stock (HS) rats are used for genetic mapping of complex traits, but to-date, a systems genetics analysis of metabolic tissues has not been done. We investigated whether adiposity-associated genes and gene co-expression networks in outbred heterogeneous stock (HS) rats overlap those found in humans. We analyzed RNAseq data from adipose tissue of 415 male HS rats, correlated these transcripts with body weight (BW) and compared transcriptome signatures to two human cohorts: the "African American Genetics of Metabolism and Expression" and "Metabolic Syndrome in Men". We used weighted gene co-expression network analysis to identify adiposity-associated gene networks and mediation analysis to identify genes under genetic control whose expression drives adiposity. We identified 554 orthologous "consensus genes" whose expression correlates with BW in the rat and with body mass index (BMI) in both human cohorts. Consensus genes fell within eight co-expressed networks and were enriched for genes involved in immune system function, cell growth, extracellular matrix organization and lipid metabolic processes. We identified 19 consensus genes for which genetic variation may influence BW via their expression, including those involved in lipolysis (e.g., Hcar1), inflammation (e.g., Rgs1), adipogenesis (e.g., Tmem120b) or no previously known role in obesity (e.g., St14, Msa4a6). Strong concordance between HS rat and human BW/BMI associated transcripts demonstrates translational utility of the rat model, while identification of novel genes expands our knowledge of the genetics underlying obesity.
Collapse
Affiliation(s)
- Wesley L Crouse
- University of North Carolina at Chapel Hill, Department of Genetics, Chapel Hill, NC, United States
| | - Swapan Kumar Das
- Wake Forest University School of Medicine, Department of Internal Medicine, Winston Salem, NC, United States
| | - Thu Le
- University College London, Department of Genetics, Evolution and Environment, Division of Biosciences, London, United Kingdom
| | - Gregory Keele
- Jackson Laboratories, Roux Center for Genomics and Computational Biology, Bar Harbor, ME, United States
| | - Katie Holl
- Medical College of Wisconsin, Department of Pediatrics, Milwaukee, WI, United States
| | - Osborne Seshie
- Wake Forest University School of Medicine, Department of Internal Medicine, Winston Salem, NC, United States
| | - Ann Craddock
- Wake Forest University School of Medicine, Department of Biochemistry, Winston Salem, NC, United States
| | - Neeraj Kumar Sharma
- Wake Forest University School of Medicine, Department of Internal Medicine, Winston Salem, NC, United States
| | - Mary Elizabeth Comeau
- Wake Forest University School of Medicine, Department of Biostatistics and Data Sciences, Winston Salem, NC, United States
| | - Carl Langefeld
- Wake Forest University School of Medicine, Department of Biostatistics and Data Sciences, Winston Salem, NC, United States
| | - Gregory A Hawkins
- Wake Forest University School of Medicine, Department of Biochemistry, Winston Salem, NC, United States
| | - Richard Mott
- University College London, Department of Genetics, Evolution and Environment, Division of Biosciences, London, United Kingdom
| | - William Valdar
- University of North Carolina at Chapel Hill, Department of Genetics, Chapel Hill, NC, United States
| | - Leah C Solberg Woods
- Wake Forest University School of Medicine, Department of Internal Medicine, Winston Salem, NC, United States
| |
Collapse
|
9
|
Das SK, Ainsworth HC, Dimitrov L, Okut H, Comeau ME, Sharma N, Ng MCY, Norris JM, Chen YDI, Wagenknecht LE, Bowden DW, Hsu FC, Taylor KD, Langefeld CD, Palmer ND. Metabolomic architecture of obesity implicates metabolonic lactone sulfate in cardiometabolic disease. Mol Metab 2021; 54:101342. [PMID: 34563731 PMCID: PMC8640864 DOI: 10.1016/j.molmet.2021.101342] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 09/17/2021] [Indexed: 12/28/2022] Open
Abstract
OBJECTIVE Identify and characterize circulating metabolite profiles associated with adiposity to inform precision medicine. METHODS Untargeted plasma metabolomic profiles in the Insulin Resistance Atherosclerosis Family Study (IRASFS) Mexican American cohort (n = 1108) were analyzed for association with anthropometric (body mass index, BMI; waist circumference, WC; waist-to-hip ratio, WHR) and computed tomography measures (visceral adipose tissue, VAT; subcutaneous adipose tissue, SAT; visceral-to-subcutaneous ratio, VSR) of adiposity. Genetic data, inclusive of genome-wide array-based genotyping, whole exome sequencing (WES) and whole genome sequencing (WGS), were evaluated to identify the genetic contributors. Phenotypic and genetic association signals were replicated across ancestries. Transcriptomic data were analyzed to explore the relationship between genetic and metabolomic data. RESULTS A partially characterized metabolite, tentatively named metabolonic lactone sulfate (X-12063), was consistently associated with BMI, WC, WHR, VAT, and SAT in IRASFS Mexican Americans (PMA <2.02 × 10-27). Trait associations were replicated in IRASFS African Americans (PAA < 1.12 × 10-07). Expanded analyses revealed associations with multiple phenotypic measures of cardiometabolic health, e.g. insulin sensitivity (SI), triglycerides (TG), diastolic blood pressure (DBP) and plasminogen activator inhibitor-1 (PAI-1) in both ancestries. Metabolonic lactone sulfate levels were heritable (h2 > 0.47), and a significant genetic signal at the ZSCAN25/CYP3A5 locus (PMA = 9.00 × 10-41, PAA = 2.31 × 10-10) was observed, highlighting a putative functional variant (rs776746, CYP3A5∗3). Transcriptomic analysis in the African American Genetics of Metabolism and Expression (AAGMEx) cohort supported the association of CYP3A5 with metabolonic lactone sulfate levels (PFDR = 6.64 × 10-07). CONCLUSIONS Variant rs776746 is associated with a decrease in the transcript levels of CYP3A5, which in turn is associated with increased metabolonic lactone sulfate levels and poor cardiometabolic health.
Collapse
Affiliation(s)
- Swapan K Das
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Hannah C Ainsworth
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Latchezar Dimitrov
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Hayrettin Okut
- Office of Research, University of Kansas Medical Center, Wichita, Kansas, USA
| | - Mary E Comeau
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Neeraj Sharma
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Maggie C Y Ng
- Division of Genetic Medicine, Vanderbilt Genetics Institute, Vanderbilt University Medical Center, Nashville, TN, USA
| | - Jill M Norris
- Department of Epidemiology, Colorado School of Public Health, Aurora, CO, USA
| | - Yii-der I Chen
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Lynne E Wagenknecht
- Department of Epidemiology and Prevention, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Fang-Chi Hsu
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Kent D Taylor
- The Institute for Translational Genomics and Population Sciences, Department of Pediatrics, The Lundquist Institute for Biomedical Innovation at Harbor-UCLA Medical Center, Torrance, CA, USA
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA
| | - Nicholette D Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, North Carolina, USA.
| |
Collapse
|
10
|
Zwartjes MSZ, Gerdes VEA, Nieuwdorp M. The Role of Gut Microbiota and Its Produced Metabolites in Obesity, Dyslipidemia, Adipocyte Dysfunction, and Its Interventions. Metabolites 2021; 11:531. [PMID: 34436472 PMCID: PMC8398981 DOI: 10.3390/metabo11080531] [Citation(s) in RCA: 24] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2021] [Revised: 08/05/2021] [Accepted: 08/06/2021] [Indexed: 02/06/2023] Open
Abstract
Obesity is becoming an increasing problem worldwide and is often, but not invariably, associated with dyslipidemia. The gut microbiota is increasingly linked to cardiovascular disease, nonalcoholic fatty liver disease, and type 2 diabetes mellitus. However, relatively little focus has been attributed to the role of gut-microbiota-derived metabolites in the development of dyslipidemia and alterations in lipid metabolism. In this review, we discuss current data involved in these processes and point out the therapeutic potentials. We cover the ability of gut microbiota metabolites to alter lipoprotein lipase action, VLDL secretion, and plasma triglyceride levels, and its effects on reverse cholesterol transport, adipocyte dysfunction, and adipose tissue inflammation. Finally, the current intervention strategies for treatment of obesity and dyslipidemia is addressed with emphasis on the role of gut microbiota metabolites and its ability to predict treatment efficacies.
Collapse
Affiliation(s)
- Max S. Z. Zwartjes
- Department of Experimental Vascular Medicine, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands; (V.E.A.G.); (M.N.)
- Department of Internal Medicine, Spaarne Gasthuis, Spaarnepoort 1, 2134 TM Hoofddorp, The Netherlands
| | - Victor E. A. Gerdes
- Department of Experimental Vascular Medicine, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands; (V.E.A.G.); (M.N.)
- Department of Internal Medicine, Spaarne Gasthuis, Spaarnepoort 1, 2134 TM Hoofddorp, The Netherlands
- Department of Internal and Vascular Medicine, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands
| | - Max Nieuwdorp
- Department of Experimental Vascular Medicine, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands; (V.E.A.G.); (M.N.)
- Department of Internal and Vascular Medicine, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands
- Department of Internal Medicine, Diabetes Center, Amsterdam University Medical Center, 1105 AZ Amsterdam, The Netherlands
| |
Collapse
|
11
|
Molecular pathways behind acquired obesity: Adipose tissue and skeletal muscle multiomics in monozygotic twin pairs discordant for BMI. CELL REPORTS MEDICINE 2021; 2:100226. [PMID: 33948567 PMCID: PMC8080113 DOI: 10.1016/j.xcrm.2021.100226] [Citation(s) in RCA: 28] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/09/2020] [Revised: 12/31/2020] [Accepted: 03/04/2021] [Indexed: 12/12/2022]
Abstract
Tissue-specific mechanisms prompting obesity-related development complications in humans remain unclear. We apply multiomics analyses of subcutaneous adipose tissue and skeletal muscle to examine the effects of acquired obesity among 49 BMI-discordant monozygotic twin pairs. Overall, adipose tissue appears to be more affected by excess body weight than skeletal muscle. In heavier co-twins, we observe a transcriptional pattern of downregulated mitochondrial pathways in both tissues and upregulated inflammatory pathways in adipose tissue. In adipose tissue, heavier co-twins exhibit lower creatine levels; in skeletal muscle, glycolysis- and redox stress-related protein and metabolite levels remain higher. Furthermore, metabolomics analyses in both tissues reveal that several proinflammatory lipids are higher and six of the same lipid derivatives are lower in acquired obesity. Finally, in adipose tissue, but not in skeletal muscle, mitochondrial downregulation and upregulated inflammation are associated with a fatty liver, insulin resistance, and dyslipidemia, suggesting that adipose tissue dominates in acquired obesity. Multiomics analyses of adipose tissue and skeletal muscle in BMI-discordant twins Excess body weight downregulates mitochondrial pathways in both tissues Excess body weight upregulates proinflammatory pathways in both tissues Adipose tissue alterations are associated with metabolic health in acquired obesity
Collapse
|
12
|
Morales LD, Cromack DT, Tripathy D, Fourcaudot M, Kumar S, Curran JE, Carless M, Göring HHH, Hu SL, Lopez-Alvarenga JC, Garske KM, Pajukanta P, Small KS, Glastonbury CA, Das SK, Langefeld C, Hanson RL, Hsueh WC, Norton L, Arya R, Mummidi S, Blangero J, DeFronzo RA, Duggirala R, Jenkinson CP. Further evidence supporting a potential role for ADH1B in obesity. Sci Rep 2021; 11:1932. [PMID: 33479282 PMCID: PMC7820614 DOI: 10.1038/s41598-020-80563-z] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/08/2019] [Accepted: 12/06/2020] [Indexed: 01/22/2023] Open
Abstract
Insulin is an essential hormone that regulates glucose homeostasis and metabolism. Insulin resistance (IR) arises when tissues fail to respond to insulin, and it leads to serious health problems including Type 2 Diabetes (T2D). Obesity is a major contributor to the development of IR and T2D. We previously showed that gene expression of alcohol dehydrogenase 1B (ADH1B) was inversely correlated with obesity and IR in subcutaneous adipose tissue of Mexican Americans. In the current study, a meta-analysis of the relationship between ADH1B expression and BMI in Mexican Americans, African Americans, Europeans, and Pima Indians verified that BMI was increased with decreased ADH1B expression. Using established human subcutaneous pre-adipocyte cell lines derived from lean (BMI < 30 kg m-2) or obese (BMI ≥ 30 kg m-2) donors, we found that ADH1B protein expression increased substantially during differentiation, and overexpression of ADH1B inhibited fatty acid binding protein expression. Mature adipocytes from lean donors expressed ADH1B at higher levels than obese donors. Insulin further induced ADH1B protein expression as well as enzyme activity. Knockdown of ADH1B expression decreased insulin-stimulated glucose uptake. Our findings suggest that ADH1B is involved in the proper development and metabolic activity of adipose tissues and this function is suppressed by obesity.
Collapse
Affiliation(s)
- Liza D Morales
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA.
| | | | - Devjit Tripathy
- South Texas Veterans Health Care System, San Antonio, TX, USA
- Department of Medicine, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Marcel Fourcaudot
- Department of Medicine, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Satish Kumar
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA
| | - Joanne E Curran
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA
| | - Melanie Carless
- Department of Population Health, Texas Biomedical Research Institute, San Antonio, TX, USA
| | - Harald H H Göring
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA
| | - Shirley L Hu
- University of Texas Health Houston, School of Public Health, Brownsville, TX, USA
| | - Juan Carlos Lopez-Alvarenga
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA
| | - Kristina M Garske
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | - Päivi Pajukanta
- Department of Human Genetics, David Geffen School of Medicine at UCLA, Los Angeles, CA, USA
| | | | | | - Swapan K Das
- Internal Medicine-Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Carl Langefeld
- Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC, USA
| | - Robert L Hanson
- Phoenix Epidemiology and Clinical Research Branch, NIDDK, Phoenix, AZ, USA
| | - Wen-Chi Hsueh
- Phoenix Epidemiology and Clinical Research Branch, NIDDK, Phoenix, AZ, USA
| | - Luke Norton
- Department of Medicine, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Rector Arya
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA
| | - Srinivas Mummidi
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA
| | - John Blangero
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA
| | - Ralph A DeFronzo
- South Texas Veterans Health Care System, San Antonio, TX, USA
- Department of Medicine, University of Texas Health San Antonio, San Antonio, TX, USA
| | - Ravindranath Duggirala
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA
| | - Christopher P Jenkinson
- South Texas Diabetes and Obesity Institute Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Edinburg/Harlingen/Brownsville, TX, USA.
| |
Collapse
|
13
|
Sharma NK, Comeau ME, Montoya D, Pellegrini M, Howard TD, Langefeld CD, Das SK. Integrative Analysis of Glucometabolic Traits, Adipose Tissue DNA Methylation, and Gene Expression Identifies Epigenetic Regulatory Mechanisms of Insulin Resistance and Obesity in African Americans. Diabetes 2020; 69:2779-2793. [PMID: 32928872 PMCID: PMC7679782 DOI: 10.2337/db20-0117] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/30/2020] [Accepted: 08/28/2020] [Indexed: 12/13/2022]
Abstract
Decline in insulin sensitivity due to dysfunction of adipose tissue (AT) is one of the earliest pathogenic events in type 2 diabetes. We hypothesize that differential DNA methylation (DNAm) controls insulin sensitivity and obesity by modulating transcript expression in AT. Integrating AT DNAm profiles with transcript profile data measured in a cohort of 230 African Americans (AAs) from the African American Genetics of Metabolism and Expression cohort, we performed cis-expression quantitative trait methylation (cis-eQTM) analysis to identify epigenetic regulatory loci for glucometabolic trait-associated transcripts. We identified significantly associated cytosine-guanine dinucleotide regions for 82 transcripts (false discovery rate [FDR]-P < 0.05). The strongest eQTM locus was observed for the proopiomelanocortin (POMC; ρ = -0.632, P = 4.70 × 10-27) gene. Epigenome-wide association studies (EWAS) further identified 155, 46, and 168 cytosine-guanine dinucleotide regions associated (FDR-P < 0.05) with the Matsuda index, SI, and BMI, respectively. Intersection of EWAS, transcript level to trait association, and eQTM results, followed by causal inference test identified significant eQTM loci for 23 genes that were also associated with Matsuda index, SI, and/or BMI in EWAS. These associated genes include FERMT3, ITGAM, ITGAX, and POMC In summary, applying an integrative multiomics approach, our study provides evidence for DNAm-mediated regulation of gene expression at both previously identified and novel loci for many key AT transcripts influencing insulin resistance and obesity.
Collapse
Affiliation(s)
- Neeraj K Sharma
- Department of Internal Medicine, Section of Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC
| | - Mary E Comeau
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Dennis Montoya
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA
| | - Matteo Pellegrini
- Department of Molecular, Cell and Developmental Biology, University of California Los Angeles, Los Angeles, CA
| | - Timothy D Howard
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
| | - Carl D Langefeld
- Department of Biostatistics and Data Science, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC
| | - Swapan K Das
- Department of Internal Medicine, Section of Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC
| |
Collapse
|
14
|
Sex differences in human adipose tissue gene expression and genetic regulation involve adipogenesis. Genome Res 2020; 30:1379-1392. [PMID: 32967914 PMCID: PMC7605264 DOI: 10.1101/gr.264614.120] [Citation(s) in RCA: 30] [Impact Index Per Article: 7.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/10/2020] [Accepted: 08/27/2020] [Indexed: 02/06/2023]
Abstract
Sex differences in adipose tissue distribution and function are associated with sex differences in cardiometabolic disease. While many studies have revealed sex differences in adipocyte cell signaling and physiology, there is a relative dearth of information regarding sex differences in transcript abundance and regulation. We investigated sex differences in subcutaneous adipose tissue transcriptional regulation using omic-scale data from ∼3000 geographically and ethnically diverse human samples. We identified 162 genes with robust sex differences in expression. Differentially expressed genes were implicated in oxidative phosphorylation and adipogenesis. We further determined that sex differences in gene expression levels could be related to sex differences in the genetics of gene expression regulation. Our analyses revealed sex-specific genetic associations, and this finding was replicated in a study of 98 inbred mouse strains. The genes under genetic regulation in human and mouse were enriched for oxidative phosphorylation and adipogenesis. Enrichment analysis showed that the associated genetic loci resided within binding motifs for adipogenic transcription factors (e.g., PPARG and EGR1). We demonstrated that sex differences in gene expression could be influenced by sex differences in genetic regulation for six genes (e.g., FADS1 and MAP1B). These genes exhibited dynamic expression patterns during adipogenesis and robust expression in mature human adipocytes. Our results support a role for adipogenesis-related genes in subcutaneous adipose tissue sex differences in the genetic and environmental regulation of gene expression.
Collapse
|
15
|
Idicula-Thomas S, Gawde U, Bhaye S, Pokar K, Bader GD. Meta-analysis of gene expression profiles of lean and obese PCOS to identify differentially regulated pathways and risk of comorbidities. Comput Struct Biotechnol J 2020; 18:1735-1745. [PMID: 32695266 PMCID: PMC7352056 DOI: 10.1016/j.csbj.2020.06.023] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2020] [Revised: 06/13/2020] [Accepted: 06/14/2020] [Indexed: 12/13/2022] Open
Abstract
Polycystic ovary syndrome (PCOS) is a complex multigenic disorder and women with PCOS suffer from several comorbidities. Although, obesity is a known risk factor for PCOS, the incidence of lean women with PCOS is on the rise. A systematic and comparative study on lean and obese PCOS with respect to genes, pathways and comorbidity analysis has not been attempted so far. Analysis of differentially expressed genes (DEGs) across tissue types for lean and obese PCOS revealed that the majority of them were downregulated for lean and obese PCOS. Ovarian and endometrial tissues shared several commonly dysregulated genes, suggesting shared PCOS pathophysiology mechanisms exist across tissues. Several pathways for cellular homeostasis, such as inflammation and immune response, insulin signaling, steroidogenesis, hormonal and metabolic signaling, regulation of gonadotrophic hormone secretion, cell structure and signaling that are known to be affected in PCOS were found to be enriched in our gene expression analysis of lean and obese PCOS. The gene-disease network is denser for obese PCOS with a higher comorbidity score as compared to lean PCOS.
Collapse
Affiliation(s)
- Susan Idicula-Thomas
- Biomedical Informatics Centre, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai 400012, India.,The Donnelly Centre, University of Toronto, Toronto, ON, Canada
| | - Ulka Gawde
- Biomedical Informatics Centre, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai 400012, India
| | - Sameeksha Bhaye
- Biomedical Informatics Centre, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai 400012, India
| | - Khushal Pokar
- Biomedical Informatics Centre, Indian Council of Medical Research-National Institute for Research in Reproductive Health, Mumbai 400012, India
| | - Gary D Bader
- The Donnelly Centre, University of Toronto, Toronto, ON, Canada
| |
Collapse
|
16
|
Sharma NK, Chuang Key CC, Civelek M, Wabitsch M, Comeau ME, Langefeld CD, Parks JS, Das SK. Genetic Regulation of Enoyl-CoA Hydratase Domain-Containing 3 in Adipose Tissue Determines Insulin Sensitivity in African Americans and Europeans. Diabetes 2019; 68:1508-1522. [PMID: 31010960 PMCID: PMC6609988 DOI: 10.2337/db18-1229] [Citation(s) in RCA: 11] [Impact Index Per Article: 2.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2018] [Accepted: 04/03/2019] [Indexed: 12/17/2022]
Abstract
Insulin resistance (IR) is a harbinger of type 2 diabetes (T2D) and partly determined by genetic factors. However, genetically regulated mechanisms of IR remain poorly understood. Using gene expression, genotype, and insulin sensitivity data from the African American Genetics of Metabolism and Expression (AAGMEx) cohort, we performed transcript-wide correlation and expression quantitative trait loci (eQTL) analyses to identify IR-correlated cis-regulated transcripts (cis-eGenes) in adipose tissue. These IR-correlated cis-eGenes were tested in the European ancestry individuals in the Metabolic Syndrome in Men (METSIM) cohort for trans-ethnic replication. Comparison of Matsuda index-correlated transcripts in AAGMEx with the METSIM study identified significant correlation of 3,849 transcripts, with concordant direction of effect for 97.5% of the transcripts. cis-eQTL for 587 Matsuda index-correlated genes were identified in both cohorts. Enoyl-CoA hydratase domain-containing 3 (ECHDC3) was the top-ranked Matsuda index-correlated cis-eGene. Expression levels of ECHDC3 were positively correlated with Matsuda index, and regulated by cis-eQTL, rs34844369 being the top cis-eSNP in AAGMEx. Silencing of ECHDC3 in adipocytes significantly reduced insulin-stimulated glucose uptake and Akt Ser473 phosphorylation. RNA sequencing analysis identified 691 differentially expressed genes in ECHDC3-knockdown adipocytes, which were enriched in γ-linolenate biosynthesis, and known IR genes. Thus, our studies elucidated genetic regulatory mechanisms of IR and identified genes and pathways in adipose tissue that are mechanistically involved in IR.
Collapse
Affiliation(s)
- Neeraj K Sharma
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Chia-Chi Chuang Key
- Section of Molecular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Mete Civelek
- Center for Public Health Genomics, Department of Biomedical Engineering, University of Virginia, Charlottesville, VA
| | - Martin Wabitsch
- Division of Pediatric Endocrinology and Diabetes, Department of Pediatrics and Adolescent Medicine, University Medical Center Ulm, Ulm, Germany
| | - Mary E Comeau
- Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - Carl D Langefeld
- Division of Public Health Sciences, Department of Biostatistics and Data Science, Wake Forest School of Medicine, Winston-Salem, NC
| | - John S Parks
- Section of Molecular Medicine, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| | - Swapan K Das
- Section of Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC
| |
Collapse
|
17
|
Bae SJ, Shin MW, Son T, Lee HS, Chae JS, Jeon S, Oh GT, Kim KW. Ninjurin1 positively regulates osteoclast development by enhancing the survival of prefusion osteoclasts. Exp Mol Med 2019; 51:1-16. [PMID: 30700695 PMCID: PMC6353902 DOI: 10.1038/s12276-018-0201-3] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2018] [Revised: 08/27/2018] [Accepted: 08/29/2018] [Indexed: 01/20/2023] Open
Abstract
Osteoclasts (OCs) are bone-resorbing cells that originate from hematopoietic stem cells and develop through the fusion of mononuclear myeloid precursors. Dysregulation of OC development causes bone disorders such as osteopetrosis, osteoporosis, and rheumatoid arthritis. Although the molecular mechanisms underlying osteoclastogenesis have been well established, the means by which OCs maintain their survival during OC development remain unknown. We found that Ninjurin1 (Ninj1) expression is dynamically regulated during osteoclastogenesis and that Ninj1-/- mice exhibit increased trabecular bone volume owing to impaired OC development. Ninj1 deficiency did not alter OC differentiation, transmigration, fusion, or actin ring formation but increased Caspase-9-dependent intrinsic apoptosis in prefusion OCs (preOCs). Overexpression of Ninj1 enhanced the survival of mouse macrophage/preOC RAW264.7 cells in osteoclastogenic culture, suggesting that Ninj1 is important for the survival of preOCs. Finally, analysis of publicly available microarray data sets revealed a potent correlation between high NINJ1 expression and destructive bone disorders in humans. Our data indicate that Ninj1 plays an important role in bone homeostasis by enhancing the survival of preOCs.
Collapse
Affiliation(s)
- Sung-Jin Bae
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea.,Korean Medicine Research Center for Healthy Aging, Pusan National University, Yangsan, 50612, Korea
| | - Min Wook Shin
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea.,RNA Therapeutics Institute, University of Massachusetts Medical School, Worcester, MA, USA
| | - Taekwon Son
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea
| | - Hye Shin Lee
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea
| | - Ji Soo Chae
- Department of Life Sciences and Technology, PerkinElmer, Seoul, 06702, Korea
| | - Sejin Jeon
- Department of Life Sciences, Ewha Womans University, Seoul, 03760, Korea
| | - Goo Taeg Oh
- Department of Life Sciences, Ewha Womans University, Seoul, 03760, Korea
| | - Kyu-Won Kim
- College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea. .,Crop Biotechnology Institute, GreenBio Science and Technology, Seoul National University, Pyeongchang, 25354, Korea.
| |
Collapse
|
18
|
McClain DA, Sharma NK, Jain S, Harrison A, Salaye LN, Comeau ME, Langefeld CD, Lorenzo FR, Das SK. Adipose Tissue Transferrin and Insulin Resistance. J Clin Endocrinol Metab 2018; 103:4197-4208. [PMID: 30099506 PMCID: PMC6194856 DOI: 10.1210/jc.2018-00770] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/10/2018] [Accepted: 08/01/2018] [Indexed: 12/27/2022]
Abstract
Context Excessive body iron stores are a risk factor for decreased insulin sensitivity (SI) and diabetes. We hypothesized that transcriptional dysregulation of genes involved in iron metabolism in adipocytes causes insulin resistance. Objective and Design To define the genetic regulation of iron metabolism and its role in SI, we used gene expression, genotype, and SI data from an African American cohort (N = 256). Replication studies were performed in independent European ancestry cohorts. In vitro studies in human adipocytes were performed to define the role of a selected gene in causing insulin resistance. Results Among 62 transcripts representing iron homeostasis genes, expression of 30 in adipose tissue were correlated with SI. Transferrin (TF) and ferritin heavy polypeptide were most positively and negatively associated with SI, respectively. These observations were replicated in two independent European ancestry adipose data sets. The strongest cis-regulatory variant for TF expression (rs6785596; P = 7.84 × 10-18) was identified in adipose but not muscle or liver tissue. Variants significantly affected the normal relationship of serum ferritin to insulin resistance. Knockdown of TF in differentiated Simpson-Golabi-Behmel syndrome adipocytes by short hairpin RNA decreased intracellular iron, reduced maximal insulin-stimulated glucose uptake, and reduced Akt phosphorylation. Knockdown of TF caused differential expression of 465 genes, including genes involved in glucose transport, mitochondrial function, Wnt-pathway/ SI, chemokine activity, and obesity. Iron chelation recapitulated key changes in the expression profile induced by TF knockdown. Conclusion Genetic regulation of TF expression in adipose tissue plays a novel role in regulating SI.
Collapse
Affiliation(s)
- Donald A McClain
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- W. G. (Bill) Hefner VA Medical Center - Salisbury, Salisbury, North Carolina
| | - Neeraj K Sharma
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Shalini Jain
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Alexandria Harrison
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Lipika N Salaye
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Mary E Comeau
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Carl D Langefeld
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, North Carolina
| | - Felipe R Lorenzo
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
- W. G. (Bill) Hefner VA Medical Center - Salisbury, Salisbury, North Carolina
| | - Swapan K Das
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, North Carolina
| |
Collapse
|
19
|
Schugar RC, Shih DM, Warrier M, Helsley RN, Burrows A, Ferguson D, Brown AL, Gromovsky AD, Heine M, Chatterjee A, Li L, Li XS, Wang Z, Willard B, Meng Y, Kim H, Che N, Pan C, Lee RG, Crooke RM, Graham MJ, Morton RE, Langefeld CD, Das SK, Rudel LL, Zein N, McCullough AJ, Dasarathy S, Tang WHW, Erokwu BO, Flask CA, Laakso M, Civelek M, Naga Prasad SV, Heeren J, Lusis AJ, Hazen SL, Brown JM. The TMAO-Producing Enzyme Flavin-Containing Monooxygenase 3 Regulates Obesity and the Beiging of White Adipose Tissue. Cell Rep 2018. [PMID: 28636934 DOI: 10.1016/j.celrep.2017.05.077] [Citation(s) in RCA: 163] [Impact Index Per Article: 27.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/26/2022] Open
Abstract
Emerging evidence suggests that microbes resident in the human intestine represent a key environmental factor contributing to obesity-associated disorders. Here, we demonstrate that the gut microbiota-initiated trimethylamine N-oxide (TMAO)-generating pathway is linked to obesity and energy metabolism. In multiple clinical cohorts, systemic levels of TMAO were observed to strongly associate with type 2 diabetes. In addition, circulating TMAO levels were associated with obesity traits in the different inbred strains represented in the Hybrid Mouse Diversity Panel. Further, antisense oligonucleotide-mediated knockdown or genetic deletion of the TMAO-producing enzyme flavin-containing monooxygenase 3 (FMO3) conferred protection against obesity in mice. Complimentary mouse and human studies indicate a negative regulatory role for FMO3 in the beiging of white adipose tissue. Collectively, our studies reveal a link between the TMAO-producing enzyme FMO3 and obesity and the beiging of white adipose tissue.
Collapse
Affiliation(s)
- Rebecca C Schugar
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Diana M Shih
- Departments of Medicine, Microbiology, and Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Manya Warrier
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Robert N Helsley
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Amy Burrows
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Daniel Ferguson
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Amanda L Brown
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Anthony D Gromovsky
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Markus Heine
- Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | | | - Lin Li
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Xinmin S Li
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Zeneng Wang
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Belinda Willard
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA
| | - YongHong Meng
- Departments of Medicine, Microbiology, and Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Hanjun Kim
- Departments of Medicine, Microbiology, and Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Nam Che
- Departments of Medicine, Microbiology, and Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Calvin Pan
- Departments of Medicine, Microbiology, and Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Richard G Lee
- Cardiovascular Group, Antisense Drug Discovery, Ionis Pharmaceuticals, Inc., Carlsbad, CA 92010, USA
| | - Rosanne M Crooke
- Cardiovascular Group, Antisense Drug Discovery, Ionis Pharmaceuticals, Inc., Carlsbad, CA 92010, USA
| | - Mark J Graham
- Cardiovascular Group, Antisense Drug Discovery, Ionis Pharmaceuticals, Inc., Carlsbad, CA 92010, USA
| | - Richard E Morton
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Carl D Langefeld
- Department of Biostatistical Sciences, Wake Forest University School of Medicine, Winston-Salem, NC 27157-1040, USA
| | - Swapan K Das
- Department of Endocrinology and Metabolism, Wake Forest University School of Medicine, Winston-Salem, NC 27157-1040, USA
| | - Lawrence L Rudel
- Department of Internal Medicine, Section on Molecular Medicine, Wake Forest University School of Medicine, Winston-Salem, NC 27157-1040, USA
| | - Nizar Zein
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Arthur J McCullough
- Department of Gastroenterology and Hepatology, Cleveland Clinic, Cleveland, OH 44195, USA
| | | | - W H Wilson Tang
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA
| | - Bernadette O Erokwu
- Departments of Radiology, Biomedical Engineering, and Pediatrics, Case Western Reserve University, Cleveland, OH 44195, USA
| | - Chris A Flask
- Departments of Radiology, Biomedical Engineering, and Pediatrics, Case Western Reserve University, Cleveland, OH 44195, USA
| | - Markku Laakso
- Institute of Clinical Medicine, Internal Medicine, University of Eastern Finland and Kuopio University Hospital, 70210 Kuopio, Finland
| | - Mete Civelek
- Department of Biomedical Engineering, University of Virginia, Charlottesville, VA 22904, USA
| | | | - Joerg Heeren
- Department of Biochemistry and Molecular Cell Biology, University Medical Center Hamburg-Eppendorf, Martinistraße 52, 20246 Hamburg, Germany
| | - Aldons J Lusis
- Departments of Medicine, Microbiology, and Human Genetics, University of California, Los Angeles, Los Angeles, CA 90095, USA
| | - Stanley L Hazen
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA; Department of Cardiovascular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA
| | - J Mark Brown
- Department of Cellular and Molecular Medicine, Cleveland Clinic, Cleveland, OH 44195, USA; Center for Microbiome and Human Health, Cleveland Clinic, Cleveland, OH 44195, USA.
| |
Collapse
|
20
|
Langefeld CD, Comeau ME, Sharma NK, Bowden DW, Freedman BI, Das SK. Transcriptional Regulatory Mechanisms in Adipose and Muscle Tissue Associated with Composite Glucometabolic Phenotypes. Obesity (Silver Spring) 2018; 26:559-569. [PMID: 29377571 PMCID: PMC5821540 DOI: 10.1002/oby.22113] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/05/2017] [Revised: 10/27/2017] [Accepted: 12/08/2017] [Indexed: 12/13/2022]
Abstract
OBJECTIVE Tissue-specific gene expression is associated with individual metabolic measures. However, these measures may not reflect the true but latent underlying biological phenotype. This study reports gene expression associations with multidimensional glucometabolic characterizations of obesity, glucose homeostasis, and lipid traits. METHODS Factor analysis was computed by using orthogonal rotation to construct composite phenotypes (CPs) from 23 traits in 256 African Americans without diabetes. Genome-wide transcript expression data from adipose and muscle were tested for association with CPs, and expression quantitative trait loci (eQTLs) were identified by associations between cis-acting single-nucleotide polymorphisms (SNPs) and gene expression. RESULTS The factor analysis identified six CPs. CPs 1 through 6 individually explained 34%, 12%, 9%, 8%, 6%, and 5% of the variation in 23 glucometabolic traits studied. There were 3,994 and 929 CP-associated transcripts identified in adipose and muscle tissue, respectively; CP2 had the largest number of associated transcripts. Pathway analysis identified multiple canonical pathways from the CP-associated transcripts. In adipose and muscle, significant cis-eQTLs were identified for 558 and 164 CP-associated transcripts (q-value < 0.01), respectively. CONCLUSIONS Adipose and muscle transcripts comprehensively define pathways involved in regulating glucometabolic disorders. Cis-eQTLs for CP-associated genes may act as primary causal determinants of glucometabolic phenotypes by regulating transcription of key genes.
Collapse
Affiliation(s)
- Carl D. Langefeld
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Mary E. Comeau
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Neeraj K. Sharma
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Barry I. Freedman
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157
| | - Swapan K. Das
- Department of Internal Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157
- Corresponding author and person to whom reprint requests should be addressed: Swapan K. Das, Ph.D., Section on Endocrinology and Metabolism, Department of Internal Medicine, Wake Forest School of Medicine, Medical Center Boulevard, Winston-Salem, North Carolina 27157, , Telephone: 336-713-6057; Fax: 336-713-7200
| |
Collapse
|
21
|
Sajuthi SP, Sharma NK, Comeau ME, Chou JW, Bowden DW, Freedman BI, Langefeld CD, Parks JS, Das SK. Genetic regulation of adipose tissue transcript expression is involved in modulating serum triglyceride and HDL-cholesterol. Gene 2017; 632:50-58. [PMID: 28844666 DOI: 10.1016/j.gene.2017.08.019] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2017] [Revised: 07/06/2017] [Accepted: 08/23/2017] [Indexed: 10/19/2022]
Abstract
Dyslipidemia is a major contributor to the increased cardiovascular disease and mortality associated with obesity and type 2 diabetes. We hypothesized that variation in expression of adipose tissue transcripts is associated with serum lipid concentrations in African Americans (AAs), and common genetic variants regulate expression levels of these transcripts. Fasting serum lipid levels, genome-wide transcript expression profiles of subcutaneous adipose tissue, and genome-wide SNP genotypes were analyzed in a cohort of non-diabetic AAs (N=250). Serum triglyceride (TRIG) and high density lipoprotein-cholesterol (HDL-C) levels were associated (FDR<0.01) with expression level of 1021 and 1875 adipose tissue transcripts, respectively, but none associated with total cholesterol or LDL-C levels. Serum HDL-C-associated transcripts were enriched for salient biological pathways, including branched-chain amino acid degradation, and oxidative phosphorylation. Genes in immuno-inflammatory pathways were activated among individuals with higher serum TRIG levels. We identified significant cis-regulatory SNPs (cis-eSNPs) for 449 serum lipid-associated transcripts in adipose tissue. The cis-eSNPs of 12 genes were nominally associated (p<0.001) with serum lipid level in genome wide association studies in Global Lipids Genetics Consortium (GLGC) cohorts. Allelic effect direction of cis-eSNPs on expression of MARCH2, BEST1 and TMEM258 matched with effect direction of these SNP alleles on serum TRIG or HDL-C levels in GLGC cohorts. These data suggest that expressions of serum lipid-associated transcripts in adipose tissue are dependent on common cis-eSNPs in African Americans. Thus, genetically-mediated transcriptional regulation in adipose tissue may play a role in reducing HDL-C and increasing TRIG in serum.
Collapse
Affiliation(s)
- Satria P Sajuthi
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States
| | - Neeraj K Sharma
- Department of Internal Medicine, Section on Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States
| | - Mary E Comeau
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States
| | - Jeff W Chou
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States
| | - Donald W Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States
| | - Barry I Freedman
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States
| | - Carl D Langefeld
- Department of Biostatistical Sciences, Division of Public Health Sciences, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States
| | - John S Parks
- Department of Internal Medicine, Section on Molecular Medicine, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States
| | - Swapan K Das
- Department of Internal Medicine, Section on Endocrinology and Metabolism, Wake Forest School of Medicine, Winston-Salem, NC 27157, United States.
| |
Collapse
|
22
|
Tabb KL, Gao C, Hicks PJ, Hawkins GA, Rotter JI, da Chen YDI, Guo X, Norris JM, Lorenzo C, Freedman BI, Bowden DW, Palmer ND. Adiponectin Isoform Patterns in Ethnic-Specific ADIPOQ Mutation Carriers: The IRAS Family Study. Obesity (Silver Spring) 2017; 25. [PMID: 28643464 PMCID: PMC5529227 DOI: 10.1002/oby.21892] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
OBJECTIVE Adiponectin is found in human serum in three groups of multimers (high molecular weight [HMW], medium molecular weight [MMW], and low molecular weight [LMW]). Two ethnic-specific variants in ADIPOQ, G45R (Hispanic-Americans) and R55C (African-Americans), were previously reported. Although carriers of both variants had mean adiponectin levels ≤ 20% of those of noncarriers, they were not clinically different from noncarriers. To compare carriers of both variants and noncarriers, relative quantification of adiponectin isoforms to total adiponectin was performed on serum samples. METHODS The multimeric patterns of serum adiponectin in G45R carriers (n = 23), R55C carriers (n = 3), and Hispanic- and African-American noncarriers (n = 84 and 44, respectively) from the Insulin Resistance Atherosclerosis Family Study were explored using native Western blotting and densitometry. RESULTS Serum samples from carriers showed an absence of the HMW isoform and a marked reduction in the MMW isoform but an approximate twofold increase in the amount of the LMW isoform. Thus, individuals making only LMW adiponectin are metabolically normal. CONCLUSIONS The results contrast with the proposed biological importance of the HMW multimer. This suggests that the LMW isoform may functionally compensate for some of the loss or reduction of the higher-order multimers in carriers of the G45R and R55C mutations.
Collapse
Affiliation(s)
- Keri L. Tabb
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
| | - Chuan Gao
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC
| | - Pamela J. Hicks
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
| | - Gregory A. Hawkins
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC
| | - Jerome I. Rotter
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Yii-Der I da Chen
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Xiuqing Guo
- Institute for Translational Genomics and Population Sciences and Department of Pediatrics, Los Angeles BioMedical Research Institute at Harbor-UCLA Medical Center, Torrance, CA
| | - Jill M. Norris
- Department of Epidemiology, Colorado School of Public Health, University of Colorado Denver, Aurora, CO
| | - Carlos Lorenzo
- Department of Medicine, University of Texas Health Science Center, San Antonio, TX
| | - Barry I. Freedman
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC
- Department of Internal Medicine, Section on Nephrology, Wake Forest School of Medicine, Winston-Salem, NC
| | - Donald W. Bowden
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
| | - Nicholette D. Palmer
- Department of Biochemistry, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Genomics and Personalized Medicine Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Diabetes Research, Wake Forest School of Medicine, Winston-Salem, NC
- Center for Public Health Genomics, Wake Forest School of Medicine, Winston-Salem, NC
| |
Collapse
|
23
|
Bae SJ, Shin MW, Kim RH, Shin D, Son T, Wee HJ, Kim KW. Ninjurin1 Assembles Into a Homomeric Protein Complex Maintained by N-linked Glycosylation. J Cell Biochem 2017; 118:2219-2230. [PMID: 28067406 DOI: 10.1002/jcb.25872] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2016] [Accepted: 12/16/2016] [Indexed: 12/11/2022]
Abstract
Ninjurin1 (Ninj1) is a cell surface protein known as a homophilic adhesion molecule. Previous studies have shown a trans-interaction of Ninj1 between immune cells and endothelial cells; however, little is known about Ninj1 modification and structure in the cis-interaction. We showed that Ninj1 assembles into a homomeric complex via a cis-interaction mediated by the intracellular region and N-glycosylation at Asn60 . We identified cis-interaction between Ninj1 proteins using CFP- and YFP-tagged Ninj1 by Förster resonance energy transfer using a confocal microscope and fluorescence-activated cell sorter. We further observed the Ninj1 homomeric complexes composed of two to six monomeric Ninj1 molecules by a formaldehyde cross-linking assay. Co-immunoprecipitation assays with epitope-tagged truncated Ninj1 suggested that the intracellular region encompassing Leu101 -Ala110 participates in Ninj1 homomer assembly. Ninj1 N-glycosylation was characterized by treatment of tunicamycin and substitution of Asn to Gln or Ala. Fluorescence-activated cell sorting-based Förster resonance energy transfer assays further demonstrated that N-glycosylation is indispensable for the Ninj1 cis-interaction, and a formaldehyde cross-linking assay confirmed that interruption of N-glycosylation by Asn substitution disrupted Ninj1 homomeric complex formation. In silico analysis revealed that Ninj1 is highly conserved in vertebrates and that the conserved sequence contains an N-glycosylation motif and cis-interacting intracellular region, which participate in Ninj1 homomer assembly. Taken together, these data show that Ninj1 assembles into a homomeric protein complex and that N-glycosylation is a prerequisite for Ninj1 homomer assembly. J. Cell. Biochem. 118: 2219-2230, 2017. © 2017 Wiley Periodicals, Inc.
Collapse
Affiliation(s)
- Sung-Jin Bae
- SNU-Harvard NeuroVascular Protection Research Center, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea
| | - Min Wook Shin
- SNU-Harvard NeuroVascular Protection Research Center, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea
| | - Ran Hee Kim
- SNU-Harvard NeuroVascular Protection Research Center, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea
| | - Dongyoon Shin
- SNU-Harvard NeuroVascular Protection Research Center, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea
| | - Taekwon Son
- SNU-Harvard NeuroVascular Protection Research Center, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea
| | - Hee-Jun Wee
- SNU-Harvard NeuroVascular Protection Research Center, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea
| | - Kyu-Won Kim
- SNU-Harvard NeuroVascular Protection Research Center, College of Pharmacy and Research Institute of Pharmaceutical Sciences, Seoul National University, Seoul, 08826, Korea.,Crop Biotechnology Institute, GreenBio Science and Technology, Seoul National University, Pyeongchang, 25354, Korea
| |
Collapse
|
24
|
Mapping adipose and muscle tissue expression quantitative trait loci in African Americans to identify genes for type 2 diabetes and obesity. Hum Genet 2016; 135:869-80. [PMID: 27193597 DOI: 10.1007/s00439-016-1680-8] [Citation(s) in RCA: 30] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2016] [Accepted: 04/30/2016] [Indexed: 10/21/2022]
Abstract
Relative to European Americans, type 2 diabetes (T2D) is more prevalent in African Americans (AAs). Genetic variation may modulate transcript abundance in insulin-responsive tissues and contribute to risk; yet, published studies identifying expression quantitative trait loci (eQTLs) in African ancestry populations are restricted to blood cells. This study aims to develop a map of genetically regulated transcripts expressed in tissues important for glucose homeostasis in AAs, critical for identifying the genetic etiology of T2D and related traits. Quantitative measures of adipose and muscle gene expression, and genotypic data were integrated in 260 non-diabetic AAs to identify expression regulatory variants. Their roles in genetic susceptibility to T2D, and related metabolic phenotypes, were evaluated by mining GWAS datasets. eQTL analysis identified 1971 and 2078 cis-eGenes in adipose and muscle, respectively. Cis-eQTLs for 885 transcripts including top cis-eGenes CHURC1, USMG5, and ERAP2 were identified in both tissues. 62.1 % of top cis-eSNPs were within ±50 kb of transcription start sites and cis-eGenes were enriched for mitochondrial transcripts. Mining GWAS databases revealed association of cis-eSNPs for more than 50 genes with T2D (e.g. PIK3C2A, RBMS1, UFSP1), gluco-metabolic phenotypes (e.g. INPP5E, SNX17, ERAP2, FN3KRP), and obesity (e.g. POMC, CPEB4). Integration of GWAS meta-analysis data from AA cohorts revealed the most significant association for cis-eSNPs of ATP5SL and MCCC1 genes, with T2D and BMI, respectively. This study developed the first comprehensive map of adipose and muscle tissue eQTLs in AAs (publically accessible at https://mdsetaa.phs.wakehealth.edu ) and identified genetically regulated transcripts for delineating genetic causes of T2D, and related metabolic phenotypes.
Collapse
|