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Konigorski S, Janke J, Patone G, Bergmann MM, Lippert C, Hübner N, Kaaks R, Boeing H, Pischon T. Identification of novel genes whose expression in adipose tissue affects body fat mass and distribution: an RNA-Seq and Mendelian Randomization study. Eur J Hum Genet 2024; 32:1127-1135. [PMID: 35953519 PMCID: PMC11369295 DOI: 10.1038/s41431-022-01161-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Revised: 06/26/2022] [Accepted: 07/19/2022] [Indexed: 10/15/2022] Open
Abstract
Many studies have shown that abdominal adiposity is more strongly related to health risks than peripheral adiposity. However, the underlying pathways are still poorly understood. In this cross-sectional study using data from RNA-sequencing experiments and whole-body MRI scans of 200 participants in the EPIC-Potsdam cohort, our aim was to identify novel genes whose gene expression in subcutaneous adipose tissue has an effect on body fat mass (BFM) and body fat distribution (BFD). The analysis identified 625 genes associated with adiposity, of which 531 encode a known protein and 487 are novel candidate genes for obesity. Enrichment analyses indicated that BFM-associated genes were characterized by their higher than expected involvement in cellular, regulatory and immune system processes, and BFD-associated genes by their involvement in cellular, metabolic, and regulatory processes. Mendelian Randomization analyses suggested that the gene expression of 69 genes was causally related to BFM and BFD. Six genes were replicated in UK Biobank. In this study, we identified novel genes for BFM and BFD that are BFM- and BFD-specific, involved in different molecular processes, and whose up-/downregulated gene expression may causally contribute to obesity.
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Affiliation(s)
- Stefan Konigorski
- Digital Health & Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany.
- Molecular Epidemiology Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA.
| | - Jürgen Janke
- Molecular Epidemiology Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Giannino Patone
- Genetics and Genomics of Cardiovascular Diseases Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany
| | - Manuela M Bergmann
- German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany
| | - Christoph Lippert
- Digital Health & Machine Learning Research Group, Hasso Plattner Institute for Digital Engineering, University of Potsdam, Potsdam, Germany
- Hasso Plattner Institute for Digital Health at Mount Sinai, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Norbert Hübner
- Genetics and Genomics of Cardiovascular Diseases Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany
- DZHK (German Center for Cardiovascular Research) partner site Berlin, Berlin, Germany
- Charité Universitätsmedizin Berlin, Berlin, Germany
| | - Rudolf Kaaks
- Department of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
| | - Heiner Boeing
- German Institute of Human Nutrition Potsdam-Rehbrücke (DIfE), Nuthetal, Germany
| | - Tobias Pischon
- Molecular Epidemiology Research Group, Max Delbrück Center (MDC) for Molecular Medicine in the Helmholtz Association, Berlin, Germany.
- DZHK (German Center for Cardiovascular Research) partner site Berlin, Berlin, Germany.
- Charité Universitätsmedizin Berlin, Berlin, Germany.
- MDC Biobank, Max Delbrück Center for Molecular Medicine (MDC) in the Helmholtz Association, Berlin, Germany.
- BIH Biobank, Berlin Institute of Health, Berlin, Germany.
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Bogaards FA, Gehrmann T, Beekman M, Lakenberg N, Suchiman HED, de Groot CPGM, Reinders MJT, Slagboom PE. Secondary integrated analysis of multi-tissue transcriptomic responses to a combined lifestyle intervention in older adults from the GOTO nonrandomized trial. Nat Commun 2024; 15:7013. [PMID: 39147741 PMCID: PMC11327278 DOI: 10.1038/s41467-024-50693-3] [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: 07/21/2023] [Accepted: 07/18/2024] [Indexed: 08/17/2024] Open
Abstract
Molecular effects of lifestyle interventions are typically studied in a single tissue. Here, we perform a secondary analysis on the sex-specific effects of the Growing Old TOgether trial (GOTO, trial registration number GOT NL3301 ( https://onderzoekmetmensen.nl/nl/trial/27183 ), NL-OMON27183 , primary outcomes have been previously reported in ref. 1), a moderate 13-week combined lifestyle intervention on the transcriptomes of postprandial blood, subcutaneous adipose tissue (SAT) and muscle tissue in healthy older adults, the overlap in effect between tissues and their relation to whole-body parameters of metabolic health. The GOTO intervention has virtually no effect on the postprandial blood transcriptome, while the SAT and muscle transcriptomes respond significantly. In SAT, pathways involved in HDL remodeling, O2/CO2 exchange and signaling are overrepresented, while in muscle, collagen and extracellular matrix pathways are significantly overexpressed. Additionally, we find that the effects of the SAT transcriptome closest associates with gains in metabolic health. Lastly, in males, we identify a shared variation between the transcriptomes of the three tissues. We conclude that the GOTO intervention has a significant effect on metabolic and muscle fibre pathways in the SAT and muscle transcriptome, respectively. Aligning the response in the three tissues revealed a blood transcriptome component which may act as an integrated health marker for metabolic intervention effects across tissues.
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Affiliation(s)
- F A Bogaards
- Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands.
- Leiden Computational Biology Center, Leiden, The Netherlands.
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands.
| | - T Gehrmann
- Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Leiden Computational Biology Center, Leiden, The Netherlands
- Department of Bioscience Engineering, Lab of Applied Microbiology and Biotechnology, University of Antwerp, Antwerp, Belgium
| | - M Beekman
- Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - N Lakenberg
- Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - H E D Suchiman
- Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
| | - C P G M de Groot
- Division of Human Nutrition and Health, Wageningen University & Research, Wageningen, The Netherlands
| | - M J T Reinders
- Leiden Computational Biology Center, Leiden, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
| | - P E Slagboom
- Molecular Epidemiology, Leiden University Medical Center, Leiden, The Netherlands
- Delft Bioinformatics Lab, Delft University of Technology, Delft, The Netherlands
- Max Planck Institute for Biology of Aging, Cologne, Germany
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Dordevic AL, Williamson G. Systematic Review and Quantitative Data Synthesis of Peripheral Blood Mononuclear Cell Transcriptomics Reveals Consensus Gene Expression Changes in Response to a High Fat Meal. Mol Nutr Food Res 2023; 67:e2300512. [PMID: 37817369 DOI: 10.1002/mnfr.202300512] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Revised: 09/11/2023] [Indexed: 10/12/2023]
Abstract
SCOPE Metabolic flexibility is essential for a healthy response to a high fat meal, and is assessed by measuring postprandial changes in blood markers including peripheral blood mononuclear cells (PBMCs; lymphocytes and monocytes). However, there is no clear consensus on postprandial gene expression and protein changes in these cells. METHOD AND RESULTS The study systematically reviews the literature reporting transcriptional and proteomic changes in PBMCs after consumption of a high fat meal. After re-analysis of the raw data to ensure equivalence between studies, ≈85 genes are significantly changed (defined as in the same direction in ≥3 studies) with about half involved in four processes: inflammation/oxidative stress, GTP metabolism, apoptosis, and lipid localization/transport. For meals consisting predominantly of unsaturated fatty acids (UFA), notable additional processes are phosphorylation and glucocorticoid response. For saturated fatty acids (SFA), genes related to migration/angiogenesis and platelet aggregation are also changed. CONCLUSION Despite differences in study design, common gene changes are identified in PBMCs following a high fat meal. These common genes and processes will facilitate definition of the postprandial transcriptome as part of the overall postcibalome, linking all molecules and processes that change in the blood after a meal.
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Affiliation(s)
- Aimee L Dordevic
- Department of Nutrition, Dietetics & Food, Monash University, Notting Hill, VIC3168, Australia
| | - Gary Williamson
- Department of Nutrition, Dietetics & Food, Monash University, Notting Hill, VIC3168, Australia
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Nam AR, Heo M, Lee KH, Kim JY, Won SH, Cho JY. The landscape of PBMC methylome in canine mammary tumors reveals the epigenetic regulation of immune marker genes and its potential application in predicting tumor malignancy. BMC Genomics 2023; 24:403. [PMID: 37460953 DOI: 10.1186/s12864-023-09471-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/05/2023] [Accepted: 06/20/2023] [Indexed: 07/20/2023] Open
Abstract
BACKGROUND Genome-wide dysregulation of CpG methylation accompanies tumor progression and characteristic states of cancer cells, prompting a rationale for biomarker development. Understanding how the archetypic epigenetic modification determines systemic contributions of immune cell types is the key to further clinical benefits. RESULTS In this study, we characterized the differential DNA methylome landscapes of peripheral blood mononuclear cells (PBMCs) from 76 canines using methylated CpG-binding domain sequencing (MBD-seq). Through gene set enrichment analysis, we discovered that genes involved in the growth and differentiation of T- and B-cells are highly methylated in tumor PBMCs. We also revealed the increased methylation at single CpG resolution and reversed expression in representative marker genes regulating immune cell proliferation (BACH2, SH2D1A, TXK, UHRF1). Furthermore, we utilized the PBMC methylome to effectively differentiate between benign and malignant tumors and the presence of mammary gland tumors through a machine-learning approach. CONCLUSIONS This research contributes to a better knowledge of the comprehensive epigenetic regulation of circulating immune cells responding to tumors and suggests a new framework for identifying benign and malignant cancers using genome-wide methylome.
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Affiliation(s)
- A-Reum Nam
- Department of Biochemistry, College of Veterinary Medicine, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea
- BK21 Plus and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea
- Comparative Medicine Disease Research Center, Seoul National University, Seoul, 08826, Republic of Korea
| | - Min Heo
- Comparative Medicine Disease Research Center, Seoul National University, Seoul, 08826, Republic of Korea
- Interdisciplinary Program of Bioinformatics, College of Natural Sciences, Seoul National University, Seoul, 08826, Republic of Korea
| | - Kang-Hoon Lee
- Department of Biochemistry, College of Veterinary Medicine, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea
- BK21 Plus and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea
| | - Ji-Yoon Kim
- Department of Biochemistry, College of Veterinary Medicine, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea
- BK21 Plus and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea
- Comparative Medicine Disease Research Center, Seoul National University, Seoul, 08826, Republic of Korea
| | - Sung-Ho Won
- Comparative Medicine Disease Research Center, Seoul National University, Seoul, 08826, Republic of Korea
- Department of Public Health Sciences, Graduate School of Public Health, Seoul National University, Seoul, 08826, Republic of Korea
| | - Je-Yoel Cho
- Department of Biochemistry, College of Veterinary Medicine, Seoul National University, 1 Gwanak-Ro, Gwanak-Gu, Seoul, 08826, Republic of Korea.
- BK21 Plus and Research Institute for Veterinary Science, Seoul National University, Seoul, 08826, Republic of Korea.
- Comparative Medicine Disease Research Center, Seoul National University, Seoul, 08826, Republic of Korea.
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Mei Y, Ran Y, Liu Z, Zhou Y, He J, Yin N, Qi H. The Role of IL-27 in the Systemic Inflammatory Response That Accompanies Preterm Labour. Inflammation 2021; 45:876-890. [PMID: 34773188 DOI: 10.1007/s10753-021-01592-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/23/2021] [Revised: 10/27/2021] [Accepted: 10/27/2021] [Indexed: 11/30/2022]
Abstract
This study aimed to investigate whether interleukin-27 (IL-27) activates maternal peripheral blood mononuclear cells (PBMCs) and induces inflammatory responses in amniotic epithelial cells in preterm labour (PL). The expression of IL-27p28, EBI3 and IL-27Rα was compared in maternal PBMCs of the PL, term labour (TL) and term not in labour (TNL) groups. The relationship between IL-27 and molecules associated with PBMC activation was investigated using bioinformatic and quantitative reverse transcription polymerase chain reaction (qRT-PCR) analyses. We investigated the inflammatory effects of IL-27 in PBMCs and its underlying mechanisms in vitro. In addition, we treated amniotic epithelial cells (WISH cells) with a PBMC-conditioned medium to identify the inflammatory effects of IL-27-treated PBMCs in amniotic epithelial cells. The expression of IL-27p28 and IL-27Rα in PBMCs of the PL group was higher than that in the TL/TNL groups. Bioinformatic analysis revealed that IL-27 was positively correlated with IFNG, IL6, IL1β, CXCL10 and ICAM1 in the whole blood samples of pregnant women in the PL group, which was confirmed using qRT-PCR. Furthermore, rhIL-27 promoted the expression of Th1 cell-related molecules (T-bet, IFN-γ and ICAM-1) and proinflammatory cytokines (IL-6 and IL-1β) in PBMCs in vitro, which was partially mediated by the JAK2/STAT1 pathway. In addition, it enhanced the expression of IL-27p28, EBI3 and IL-27Rα in PBMCs. Moreover, the expression of IL-6, IL-1β and TNF-α in WISH cells was significantly increased by the conditional medium derived from IL-27-treated PBMCs. IL-27 upregulated the expression of Th1 cell-related molecules and proinflammatory cytokines in PBMCs partially mediated by the JAK2/STAT1 pathway. Inflammatory responses were induced in WISH cells by a conditional medium derived from IL-27-treated PBMCs. Therefore, IL-27 may contribute to PL by promoting inflammation in maternal PBMCs and amniotic epithelial cells.
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Affiliation(s)
- Youwen Mei
- International Collaborative Jointed Laboratory of Maternal and Fetal Medicine, Ministry of Education, Chongqing Medical University, Chongqing, 400016, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China.,Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yuxin Ran
- International Collaborative Jointed Laboratory of Maternal and Fetal Medicine, Ministry of Education, Chongqing Medical University, Chongqing, 400016, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China.,Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Zheng Liu
- International Collaborative Jointed Laboratory of Maternal and Fetal Medicine, Ministry of Education, Chongqing Medical University, Chongqing, 400016, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China.,Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Yunqian Zhou
- International Collaborative Jointed Laboratory of Maternal and Fetal Medicine, Ministry of Education, Chongqing Medical University, Chongqing, 400016, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China.,Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Jie He
- International Collaborative Jointed Laboratory of Maternal and Fetal Medicine, Ministry of Education, Chongqing Medical University, Chongqing, 400016, China.,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China.,Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China
| | - Nanlin Yin
- International Collaborative Jointed Laboratory of Maternal and Fetal Medicine, Ministry of Education, Chongqing Medical University, Chongqing, 400016, China. .,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China. .,Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
| | - Hongbo Qi
- International Collaborative Jointed Laboratory of Maternal and Fetal Medicine, Ministry of Education, Chongqing Medical University, Chongqing, 400016, China. .,State Key Laboratory of Maternal and Fetal Medicine of Chongqing Municipality, Chongqing Medical University, Chongqing, 400016, China. .,Department of Obstetrics, the First Affiliated Hospital of Chongqing Medical University, Chongqing, 400016, China.
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