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Hansen AL, Christiansen CF, Brøns C, Engelhard LM, Hansen T, Nielsen JS, Vestergaard P, Højlund K, Jessen N, Olsen MH, Sørensen HT, Rossing P, Thomsen RW, Vaag A. Birthweight and risk of chronic kidney disease after a type 2 diabetes diagnosis in the DD2 cohort. Diabetologia 2025; 68:778-791. [PMID: 39891704 PMCID: PMC11950141 DOI: 10.1007/s00125-024-06357-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/04/2024] [Accepted: 12/10/2024] [Indexed: 02/03/2025]
Abstract
AIMS/HYPOTHESIS Low birthweight (LBW) is associated with younger age, less obesity and more hypertension among people recently diagnosed with type 2 diabetes, as well as increased cardiovascular morbidity and mortality risk. It is not known whether LBW is associated with an increased risk of incident chronic kidney disease (CKD) among people with a type 2 diabetes diagnosis. METHODS Original midwife records were retrieved for 5982 participants with recently diagnosed type 2 diabetes enrolled in the Danish Center for Strategic Research in Type 2 Diabetes (DD2) cohort between 2010 and 2024. They were followed until first incident CKD diagnosis, defined as either two eGFR measurements <60 ml/min per 1.73m2 or two urine albumin/creatinine ratio (UACR) measurements >3 mg/mmol, each 90-365 days apart. Confounder-standardised 10 year risks of CKD were estimated, with death considered as a competing risk. Adjusted hazard ratios (aHRs) for CKD were computed using Cox and spline regression analyses. All analyses were controlled for differences in sex, age at enrolment, calendar year at birth, family history of diabetes and born-at-term status. Mixed-effects models were used to examine the trajectories of eGFR and UACR following enrolment. RESULTS A total of 1501 incident CKD endpoints occurred, corresponding to an incidence rate of 42.4 per 1000 person-years over a median follow-up time of 8.3 years. Spline models with birthweight as a continuous measure showed progressively increasing aHRs for CKD with decreasing birthweight. The 10-year standardised risk of CKD was 36.0% in people with LBW (<2500 g) and 30.6% in people with a normal birthweight (2500-4000 g), yielding a risk difference (RD) of 5.5% (95% CI -0.5%, 11.8%) and an aHR of 1.23 (95% CI 0.98, 1.55). People with type 2 diabetes and high birthweight (>4000 g) had a similar 10-year standardised CKD risk compared with normal birthweight (33.1% and 30.6%, respectively). This yielded an RD of 2.5% (95% CI -1.6%, 6.7%) and an aHR of 1.10 (95% CI 0.93, 1.29). In mixed-effects models examining eGFR and UACR trajectories, each 1 kg decrease in birthweight was associated with a 6.6% (95% CI 1.9, 11.1) increase in UACR, whereas no association was found for eGFR. CONCLUSIONS/INTERPRETATION A history of LBW was associated with elevated risk of CKD among people with a recent type 2 diabetes diagnosis, although the precision of risk estimates was limited.
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Affiliation(s)
- Aleksander L Hansen
- Steno Diabetes Center Copenhagen, Herlev, Denmark.
- Department of Clinical Epidemiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | - Christian F Christiansen
- Department of Clinical Epidemiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Leonie M Engelhard
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Epidemiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Lund University Diabetes Center, Lund University, Lund, Sweden
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Jens S Nielsen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Peter Vestergaard
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Niels Jessen
- Steno Diabetes Center, Aarhus University Hospital, Aarhus, Denmark
| | - Michael H Olsen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Internal Medicine and Steno Diabetes Center Zealand, Holbæk Hospital, Holbæk, Denmark
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Peter Rossing
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | - Reimar W Thomsen
- Department of Clinical Epidemiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Allan Vaag
- Steno Diabetes Center Copenhagen, Herlev, Denmark.
- Lund University Diabetes Center, Lund University, Lund, Sweden.
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden.
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Nishijima S, Stankevic E, Aasmets O, Schmidt TSB, Nagata N, Keller MI, Ferretti P, Juel HB, Fullam A, Robbani SM, Schudoma C, Hansen JK, Holm LA, Israelsen M, Schierwagen R, Torp N, Telzerow A, Hercog R, Kandels S, Hazenbrink DHM, Arumugam M, Bendtsen F, Brøns C, Fonvig CE, Holm JC, Nielsen T, Pedersen JS, Thiele MS, Trebicka J, Org E, Krag A, Hansen T, Kuhn M, Bork P. Fecal microbial load is a major determinant of gut microbiome variation and a confounder for disease associations. Cell 2025; 188:222-236.e15. [PMID: 39541968 DOI: 10.1016/j.cell.2024.10.022] [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: 03/08/2024] [Revised: 07/12/2024] [Accepted: 10/14/2024] [Indexed: 11/17/2024]
Abstract
The microbiota in individual habitats differ in both relative composition and absolute abundance. While sequencing approaches determine the relative abundances of taxa and genes, they do not provide information on their absolute abundances. Here, we developed a machine-learning approach to predict fecal microbial loads (microbial cells per gram) solely from relative abundance data. Applying our prediction model to a large-scale metagenomic dataset (n = 34,539), we demonstrated that microbial load is the major determinant of gut microbiome variation and is associated with numerous host factors, including age, diet, and medication. We further found that for several diseases, changes in microbial load, rather than the disease condition itself, more strongly explained alterations in patients' gut microbiome. Adjusting for this effect substantially reduced the statistical significance of the majority of disease-associated species. Our analysis reveals that the fecal microbial load is a major confounder in microbiome studies, highlighting its importance for understanding microbiome variation in health and disease.
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Affiliation(s)
- Suguru Nishijima
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Evelina Stankevic
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Oliver Aasmets
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Thomas S B Schmidt
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Naoyoshi Nagata
- Department of Gastroenterological Endoscopy, Tokyo Medical University, Tokyo, Japan
| | - Marisa Isabell Keller
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Pamela Ferretti
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Helene Bæk Juel
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Anthony Fullam
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | | | - Christian Schudoma
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Johanne Kragh Hansen
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark; Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
| | - Louise Aas Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark; The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Mads Israelsen
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark; Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
| | - Robert Schierwagen
- Department of Internal Medicine B, University of Münster, Münster, Germany
| | - Nikolaj Torp
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark; Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
| | - Anja Telzerow
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Rajna Hercog
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Stefanie Kandels
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Diënty H M Hazenbrink
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany
| | - Manimozhiyan Arumugam
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Flemming Bendtsen
- Gastrounit, Medical Division, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Charlotte Brøns
- Clinical Research, Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Cilius Esmann Fonvig
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark; The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Jens-Christian Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark; The Children's Obesity Clinic, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Trine Nielsen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Medical department, University Hospital Zeeland, Køge, Denmark
| | - Julie Steen Pedersen
- Gastrounit, Medical Division, Copenhagen University Hospital Hvidovre, Hvidovre, Denmark
| | - Maja Sofie Thiele
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark; Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
| | - Jonel Trebicka
- Department of Internal Medicine B, University of Münster, Münster, Germany; European Foundation for the Study of Chronic Liver Failure, EFCLIF, Barcelona, Spain
| | - Elin Org
- Institute of Genomics, University of Tartu, Tartu, Estonia
| | - Aleksander Krag
- Faculty of Health Sciences, University of Southern Denmark, Odense, Denmark; Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Michael Kuhn
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany.
| | - Peer Bork
- Molecular Systems Biology Unit, European Molecular Biology Laboratory, Heidelberg, Germany; Max Delbrück Centre for Molecular Medicine, Berlin, Germany; Department of Bioinformatics, Biocenter, University of Würzburg, Würzburg, Germany.
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Peng L, Shen J, Li L, Liu J, Jiang X, Zhang G, Li Y. Birthweight influences liver structure, function and disease risk: Evidence of a causal association. Diabetes Obes Metab 2024; 26:4976-4988. [PMID: 39228281 DOI: 10.1111/dom.15910] [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: 06/11/2024] [Revised: 08/16/2024] [Accepted: 08/16/2024] [Indexed: 09/05/2024]
Abstract
AIM Low birthweight is an issue during pregnancy associated with an increased risk of developing liver disease later in life. Previous Mendelian randomisation (MR) studies which explored this issue have not isolated the direct impact of the foetus on birthweight. In the present study, MR was used to assess whether direct foetal effects on birthweight were causally associated with liver structure, function and disease risk independent of intrauterine effects. MATERIALS AND METHODS We extracted single nucleotide polymorphisms (SNPs) from genome-wide association studies (GWAS) about direct foetal-affected birthweight (321 223 cases) to conduct univariable and multivariable MR analyses to explore the relationships between birthweight and 4 liver structure measures, 9 liver function measures and 18 liver diseases. A two-step MR analysis was used to further assess and quantify the mediating effects of the mediators. RESULTS When isolating direct foetal effects, genetically predicted lower birthweight was associated with a higher risk of non-alcoholic fatty liver disease (NAFLD) (odds ratios [OR], 95% confidence interval [CI]: 1.61, 1.29-2.02, p < 0.001), higher magnetic resonance imaging [MRI] proton density fat fraction (PDFF) and higher serum gamma glutamyltransferase (GGT). Two-step MR identified two candidate mediators that partially mediate the direct foetal effect of lower birthweight on NAFLD, including fasting insulin (proportion mediated: 22.29%) and triglycerides (6.50%). CONCLUSIONS Our MR analysis reveals a direct causal association between lower birthweight and liver MRI PDFF, as well as the development of NAFLD, which persisted even after accounting for the potential influence of maternal factors. In addition, we identified fasting insulin and triglycerides as mediators linking birthweight and hepatic outcomes, providing insights for early clinical interventions.
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Affiliation(s)
- Lei Peng
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jiajia Shen
- Department of General Surgery, First Affiliated Hospital, Nanjing Medical University, Nanjing, China
| | - Lurong Li
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Jiahao Liu
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Xingzhou Jiang
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Guoxin Zhang
- Department of Gastroenterology, First Affiliated Hospital of Nanjing Medical University, Nanjing, China
| | - Yuanyuan Li
- Department of Endocrinology, Children's Hospital of Nanjing Medical University, Nanjing, China
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Hansen AL, Brøns C, Engelhard LM, Andersen MK, Hansen T, Nielsen JS, Vestergaard P, Højlund K, Jessen N, Olsen MH, Sørensen HT, Thomsen RW, Vaag A. Low birthweight in patients with type 2 diabetes is associated with elevated risk of cardiovascular events and mortality. Diabetologia 2024; 67:1616-1629. [PMID: 38777869 PMCID: PMC11343788 DOI: 10.1007/s00125-024-06170-z] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Accepted: 04/04/2024] [Indexed: 05/25/2024]
Abstract
AIMS/HYPOTHESIS Low birthweight is a risk factor for type 2 diabetes and CVD. This prospective cohort study investigated whether lower birthweight increases CVD risk after diagnosis of type 2 diabetes. METHODS Original midwife records were evaluated for 8417 participants recently diagnosed with type 2 diabetes in the Danish Centre for Strategic Research in Type 2 Diabetes (DD2) cohort. Patients were followed for the first occurrence of a composite CVD endpoint (myocardial infarction, coronary revascularisation, peripheral arterial disease, stroke, unstable angina, heart failure or CVD death), a three-component endpoint comprising major adverse cardiovascular events (MACE), and all-cause mortality. Ten-year risks were estimated using the Aalen-Johansen estimator considering non-CVD death as a competing risk. HRs were determined by Cox regression. Models were controlled for sex, age, calendar year at birth, family history of diabetes and born-at-term status. RESULTS A total of 1187 composite CVD endpoints, 931 MACE, and 1094 deaths occurred during a median follow-up period of 8.5 years. The 10-year standardised composite CVD risk was 19.8% in participants with a birthweight <3000 g compared with 16.9% in participants with a birthweight of 3000-3700 g, yielding a risk difference (RD) of 2.9% (95% CI 0.4, 5.4) and an adjusted HR of 1.20 (95% CI 1.03, 1.40). The 10-year MACE risk for birthweight <3000 g was similarly elevated (RD 2.4%; 95% CI 0.1, 4.7; HR 1.22; 95% CI 1.01, 1.46). The elevated CVD risk was primarily driven by stroke, peripheral arterial disease and CVD death. All-cause mortality showed no substantial difference. CONCLUSIONS/INTERPRETATION Having a birthweight <3000 g is associated with higher CVD risk among patients with type 2 diabetes, driven primarily by risk of stroke and CVD death.
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Affiliation(s)
- Aleksander L Hansen
- Steno Diabetes Center Copenhagen, Herlev, Denmark.
- Department of Clinical Epidemiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark.
| | | | - Leonie M Engelhard
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Epidemiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Lund, Sweden
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Jens S Nielsen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Peter Vestergaard
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Niels Jessen
- Steno Diabetes Center Aarhus, Aarhus University Hospital, Aarhus, Denmark
| | - Michael H Olsen
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
- Department of Internal Medicine and Steno Diabetes Center Zealand, Holbæk Hospital, Holbæk, Denmark
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Reimar W Thomsen
- Department of Clinical Epidemiology, Aarhus University Hospital, and Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Allan Vaag
- Steno Diabetes Center Copenhagen, Herlev, Denmark.
- Department of Clinical Sciences, Lund University Diabetes Center, Lund University, Lund, Sweden.
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden.
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Yu Q, Song L. Unveiling the role of ferroptosis in the progression from NAFLD to NASH: recent advances in mechanistic understanding. Front Endocrinol (Lausanne) 2024; 15:1431652. [PMID: 39036052 PMCID: PMC11260176 DOI: 10.3389/fendo.2024.1431652] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/12/2024] [Accepted: 06/20/2024] [Indexed: 07/23/2024] Open
Abstract
Non-alcoholic fatty liver disease (NAFLD) is a prevalent and significant global public health issue. Nonalcoholic steatohepatitis (NASH) represents an advanced stage of NAFLD in terms of pathology. However, the intricate mechanisms underlying the progression from NAFLD to NASH remain elusive. Ferroptosis, characterized by iron-dependent cell death and distinguished from other forms of cell death based on morphological, biochemical, and genetic criteria, has emerged as a potential participant with a pivotal role in driving NAFLD progression. Nevertheless, its precise mechanism remains poorly elucidated. In this review article, we comprehensively summarize the pathogenesis of NAFLD/NASH and ferroptosis while highlighting recent advances in understanding the mechanistic involvement of ferroptosis in NAFLD/NASH.
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Affiliation(s)
- Qian Yu
- Laboratory Medical Department, Zigong Fourth People’s Hospital, Zigong, China
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Stinson SE, Kromann Reim P, Lund MAV, Lausten-Thomsen U, Aas Holm L, Huang Y, Brøns C, Vaag A, Thiele M, Krag A, Fonvig CE, Grarup N, Pedersen O, Christiansen M, Ängquist L, Sørensen TIA, Holm JC, Hansen T. The interplay between birth weight and obesity in determining childhood and adolescent cardiometabolic risk. EBioMedicine 2024; 105:105205. [PMID: 38918147 PMCID: PMC11293585 DOI: 10.1016/j.ebiom.2024.105205] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/22/2024] [Revised: 05/29/2024] [Accepted: 06/02/2024] [Indexed: 06/27/2024] Open
Abstract
BACKGROUND Birth weight (BW) is associated with risk of cardiometabolic disease (CMD) in adulthood, which may depend on the state of obesity, in particular if developed at a young age. We hypothesised that BW and a polygenic score (PGS) for BW were associated with cardiometabolic risk and related plasma protein levels in children and adolescents. We aimed to determine the modifying effect of childhood obesity on these associations. METHODS We used data from The cross-sectional HOLBAEK Study with 4263 participants (median [IQR] age, 11.7 [9.2, 14.3] years; 57.1% girls and 42.9% boys; 48.6% from an obesity clinic and 51.4% from a population-based group). We gathered information on BW and gestational age, anthropometrics, cardiometabolic risk factors, calculated a PGS for BW, and measured plasma proteins using Olink Inflammation and Cardiovascular II panels. We employed multiple linear regression to examine the associations with BW as a continuous variable and performed interaction analyses to assess the effect of childhood obesity on cardiometabolic risk and plasma protein levels. FINDINGS BW and a PGS for BW associated with cardiometabolic risk and plasma protein levels in childhood and adolescence. Childhood obesity modified the associations between BW and measures of insulin resistance, including HOMA-IR (βadj [95% CI per SD] for obesity: -0.12 [-0.15, -0.08]; normal weight: -0.04 [-0.08, 0.00]; Pinteraction = 0.004), c-peptide (obesity: -0.11 [-0.14, -0.08]; normal weight: -0.02 [-0.06, 0.02]; Pinteraction = 5.05E-04), and SBP SDS (obesity: -0.12 [-0.16, -0.08]; normal weight: -0.06 [-0.11, -0.01]; Pinteraction = 0.0479). Childhood obesity also modified the associations between BW and plasma levels of 14 proteins (e.g., IL15RA, MCP1, and XCL1; Pinteraction < 0.05). INTERPRETATION We identified associations between lower BW and adverse metabolic phenotypes, particularly insulin resistance, blood pressure, and altered plasma protein levels, which were more pronounced in children with obesity. Developing effective prevention and treatment strategies for this group is needed to reduce the risk of future CMD. FUNDING Novo Nordisk Foundation (NNF15OC0016544, NNF0064142 to T.H., NNF15OC0016692 to T.H. and A.K., NNF18CC0033668 to S.E.S, NNF18SA0034956 to C.E.F., NNF20SA0067242 to DCA, NNF18CC0034900 to NNF CBMR), The Innovation Fund Denmark (0603-00484B to T.H.), The Danish Cardiovascular Academy (DCA) and the Danish Heart Foundation (HF) (PhD2021007-DCA to P.K.R, 18-R125-A8447-22088 (HF) and 21-R149-A10071-22193 (HF) to M.A.V.L., PhD2023009-HF to L.A.H), EU Horizon (668031, 847989, 825694, 964590 to A.K.), Innovative Health Initiative (101132901 for A.K.), A.P. Møller Foundation (19-L-0366 to T.H.), The Danish National Research Foundation, Steno Diabetes Center Sjælland, and The Region Zealand and Southern Denmark Health Scientific Research Foundation.
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Affiliation(s)
- Sara Elizabeth Stinson
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Pauline Kromann Reim
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Morten Asp Vonsild Lund
- The Children's Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Ulrik Lausten-Thomsen
- Department of Neonatology, Copenhagen University Hospital Rigshospitalet, Copenhagen, Denmark
| | - Louise Aas Holm
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; The Children's Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark
| | - Yun Huang
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Allan Vaag
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Steno Diabetes Center Copenhagen, Herlev, Denmark
| | - Maja Thiele
- Center for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department for Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Aleksander Krag
- Center for Liver Research, Department of Gastroenterology and Hepatology, Odense University Hospital, Odense, Denmark; Department for Clinical Research, University of Southern Denmark, Odense, Denmark
| | - Cilius Esmann Fonvig
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; The Children's Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Oluf Pedersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Center for Clinical Metabolic Research, Herlev-Gentofte University Hospital, Denmark
| | - Michael Christiansen
- Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department for Congenital Disorders, Statens Serum Institute, Copenhagen, Denmark
| | - Lars Ängquist
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Thorkild I A Sørensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Department of Public Health, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark; Center for Childhood Health, Copenhagen, Denmark
| | - Jens-Christian Holm
- The Children's Obesity Clinic, Accredited European Centre for Obesity Management, Department of Pediatrics, Copenhagen University Hospital Holbæk, Holbæk, Denmark; Department of Clinical Medicine, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark.
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Brown LD, Rozance PJ, Wang D, Eroglu EC, Wilkening RB, Solmonson A, Wesolowski SR. Increased hepatic glucose production with lower oxidative metabolism in the growth-restricted fetus. JCI Insight 2024; 9:e176497. [PMID: 38687612 PMCID: PMC11141920 DOI: 10.1172/jci.insight.176497] [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: 10/10/2023] [Accepted: 04/17/2024] [Indexed: 05/02/2024] Open
Abstract
Fetal growth restriction (FGR) is accompanied by early activation of hepatic glucose production (HGP), a hallmark of type 2 diabetes (T2D). Here, we used fetal hepatic catheterization to directly measure HGP and substrate flux in a sheep FGR model. We hypothesized that FGR fetuses would have increased hepatic lactate and amino acid uptake to support increased HGP. Indeed, FGR fetuses compared with normal (CON) fetuses had increased HGP and activation of gluconeogenic genes. Unexpectedly, hepatic pyruvate output was increased, while hepatic lactate and gluconeogenic amino acid uptake rates were decreased in FGR liver. Hepatic oxygen consumption and total substrate uptake rates were lower. In FGR liver tissue, metabolite abundance, 13C-metabolite labeling, enzymatic activity, and gene expression supported decreased pyruvate oxidation and increased lactate production. Isolated hepatocytes from FGR fetuses had greater intrinsic capacity for lactate-fueled glucose production. FGR livers also had lower energy (ATP) and redox state (NADH/NAD+ ratio). Thus, reduced hepatic oxidative metabolism may make carbons available for increased HGP, but also produces nutrient and energetic stress in FGR liver. Intrinsic programming of these pathways regulating HGP in the FGR fetus may underlie increased HGP and T2D risk postnatally.
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Affiliation(s)
- Laura D Brown
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Paul J Rozance
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Dong Wang
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Evren C Eroglu
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Randall B Wilkening
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
| | - Ashley Solmonson
- University of Texas Southwestern Medical Center, Dallas, Texas, USA
| | - Stephanie R Wesolowski
- Department of Pediatrics, School of Medicine, University of Colorado Anschutz Medical Campus, Aurora, Colorado, USA
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Noone J, Mucinski JM, DeLany JP, Sparks LM, Goodpaster BH. Understanding the variation in exercise responses to guide personalized physical activity prescriptions. Cell Metab 2024; 36:702-724. [PMID: 38262420 DOI: 10.1016/j.cmet.2023.12.025] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/25/2023] [Revised: 12/11/2023] [Accepted: 12/20/2023] [Indexed: 01/25/2024]
Abstract
Understanding the factors that contribute to exercise response variation is the first step in achieving the goal of developing personalized exercise prescriptions. This review discusses the key molecular and other mechanistic factors, both extrinsic and intrinsic, that influence exercise responses and health outcomes. Extrinsic characteristics include the timing and dose of exercise, circadian rhythms, sleep habits, dietary interactions, and medication use, whereas intrinsic factors such as sex, age, hormonal status, race/ethnicity, and genetics are also integral. The molecular transducers of exercise (i.e., genomic/epigenomic, proteomic/post-translational, transcriptomic, metabolic/metabolomic, and lipidomic elements) are considered with respect to variability in physiological and health outcomes. Finally, this review highlights the current challenges that impede our ability to develop effective personalized exercise prescriptions. The Molecular Transducers of Physical Activity Consortium (MoTrPAC) aims to fill significant gaps in the understanding of exercise response variability, yet further investigations are needed to address additional health outcomes across all populations.
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Affiliation(s)
- John Noone
- Translational Research Institute, AdventHealth, Orlando, FL 32804, USA
| | | | - James P DeLany
- Translational Research Institute, AdventHealth, Orlando, FL 32804, USA
| | - Lauren M Sparks
- Translational Research Institute, AdventHealth, Orlando, FL 32804, USA
| | - Bret H Goodpaster
- Translational Research Institute, AdventHealth, Orlando, FL 32804, USA.
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9
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Bjørnsbo KS, Brøns C, Aadahl M, Kampmann FB, Friis Bryde Nielsen C, Lundbergh B, Wibaek R, Kårhus LL, Madsen AL, Hansen CS, Nørgaard K, Jørgensen NR, Suetta C, Kjaer M, Grarup N, Kanters J, Larsen M, Køber L, Kofoed KF, Loos R, Hansen T, Linneberg A, Vaag A. Protocol for the combined cardiometabolic deep phenotyping and registry-based 20-year follow-up study of the Inter99 cohort. BMJ Open 2024; 14:e078501. [PMID: 38286704 PMCID: PMC10826573 DOI: 10.1136/bmjopen-2023-078501] [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: 08/04/2023] [Accepted: 01/03/2024] [Indexed: 01/31/2024] Open
Abstract
INTRODUCTION The population-based Inter99 cohort has contributed extensively to our understanding of effects of a systematic screening and lifestyle intervention, as well as the multifactorial aetiology of type 2 diabetes (T2D) and cardiovascular disease. To understand causes, trajectories and patterns of early and overt cardiometabolic disease manifestations, we will perform a combined clinical deep phenotyping and registry follow-up study of the now 50-80 years old Inter99 participants. METHODS AND ANALYSIS The Inter99 cohort comprises individuals aged 30-60 years, who lived in a representative geographical area of greater Copenhagen, Denmark, in 1999. Age-stratified and sex-stratified random subgroups were invited to participate in either a lifestyle intervention (N=13 016) or questionnaires (N=5264), while the rest served as a reference population (N=43 021). Of the 13 016 individuals assigned to the lifestyle intervention group, 6784 (52%) accepted participation in a baseline health examination in 1999, including screening for cardiovascular risk factors and prediabetic conditions. In total, 6004 eligible participants, who participated in the baseline examination, will be invited to participate in the deep phenotyping 20-year follow-up clinical examination including measurements of anthropometry, blood pressure, arterial stiffness, cardiometabolic biomarkers, coronary artery calcification, heart rate variability, heart rhythm, liver stiffness, fundus characteristics, muscle strength and mass, as well as health and lifestyle questionnaires. In a subsample, 10-day monitoring of diet, physical activity and continuous glucose measurements will be performed. Fasting blood, urine and faecal samples to be stored in a biobank. The established database will form the basis of multiple analyses. A main purpose is to investigate whether low birth weight independent of genetics, lifestyle and glucose tolerance predicts later common T2D cardiometabolic comorbidities. ETHICS AND DISSEMINATION The study was approved by the Medical Ethics Committee, Capital Region, Denmark (H-20076231) and by the Danish Data Protection Agency through the Capital Region of Denmark's registration system (P-2020-1074). Informed consent will be obtained before examinations. Findings will be disseminated in peer-reviewed journals, at conferences and via presentations to stakeholders, including patients and public health policymakers. TRIAL REGISTRATION NUMBER NCT05166447.
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Affiliation(s)
- Kirsten Schroll Bjørnsbo
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | | | - Mette Aadahl
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Freja Bach Kampmann
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Camilla Friis Bryde Nielsen
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Bjørn Lundbergh
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | | | - Line Lund Kårhus
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Anja Lykke Madsen
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | | | - Kirsten Nørgaard
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Department of Clinical Medicine, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Niklas Rye Jørgensen
- Department of Clinical Biochemistry, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Charlotte Suetta
- Institute of Sports Medicine, Department of Orthopedic Surgery and Department of Geriatrics and Palliative Medicine, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Michael Kjaer
- Institute of Sports Medicine, Department of Orthopedic Surgery and Department of Geriatrics and Palliative Medicine, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
| | - Niels Grarup
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Jørgen Kanters
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
- Center of Physiological Research, University of California, San Francisco, CA, USA
| | - Michael Larsen
- Department of Ophthalmology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Lars Køber
- Department of Cardiology and Radiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Klaus Fuglsang Kofoed
- Department of Clinical Medicine, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
- Department of Cardiology and Radiology, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Ruth Loos
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen Faculty of Health and Medical Sciences, Copenhagen, Denmark
| | - Allan Linneberg
- Center for Clinical Research and Prevention, Copenhagen University Hospital - Bispebjerg and Frederiksberg, Copenhagen, Denmark
- Department of Clinical Medicine, Copenhagen University Hospital, Rigshospitalet, Copenhagen, Denmark
| | - Allan Vaag
- Steno Diabetes Center Copenhagen, Herlev, Denmark
- Lund University Diabetes Center, Malmö, Sweden
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden
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10
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Hansen AL, Thomsen RW, Brøns C, Svane HML, Jensen RT, Andersen MK, Hansen T, Nielsen JS, Vestergaard P, Højlund K, Jessen N, Olsen MH, Sørensen HT, Vaag AA. Birthweight is associated with clinical characteristics in people with recently diagnosed type 2 diabetes. Diabetologia 2023; 66:1680-1692. [PMID: 37303007 PMCID: PMC10390374 DOI: 10.1007/s00125-023-05936-1] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/26/2023] [Accepted: 04/20/2023] [Indexed: 06/13/2023]
Abstract
AIMS/HYPOTHESIS Low birthweight is a risk factor for type 2 diabetes but it is unknown whether low birthweight is associated with distinct clinical characteristics at disease onset. We examined whether a lower or higher birthweight in type 2 diabetes is associated with clinically relevant characteristics at disease onset. METHODS Midwife records were traced for 6866 individuals with type 2 diabetes in the Danish Centre for Strategic Research in Type 2 Diabetes (DD2) cohort. Using a cross-sectional design, we assessed age at diagnosis, anthropomorphic measures, comorbidities, medications, metabolic variables and family history of type 2 diabetes in individuals with the lowest 25% of birthweight (<3000 g) and highest 25% of birthweight (>3700 g), compared with a birthweight of 3000-3700 g as reference, using log-binomial and Poisson regression. Continuous relationships across the entire birthweight spectrum were assessed with linear and restricted cubic spline regression. Weighted polygenic scores (PS) for type 2 diabetes and birthweight were calculated to assess the impact of genetic predispositions. RESULTS Each 1000 g decrease in birthweight was associated with a 3.3 year (95% CI 2.9, 3.8) younger age of diabetes onset, 1.5 kg/m2 (95% CI 1.2, 1.7) lower BMI and 3.9 cm (95% CI 3.3, 4.5) smaller waist circumference. Compared with the reference birthweight, a birthweight of <3000 g was associated with more overall comorbidity (prevalence ratio [PR] for Charlson Comorbidity Index Score ≥3 was 1.36 [95% CI 1.07, 1.73]), having a systolic BP ≥155 mmHg (PR 1.26 [95% CI 0.99, 1.59]), lower prevalence of diabetes-associated neurological disease, less likelihood of family history of type 2 diabetes, use of three or more glucose-lowering drugs (PR 1.33 [95% CI 1.06, 1.65]) and use of three or more antihypertensive drugs (PR 1.09 [95% CI 0.99, 1.20]). Clinically defined low birthweight (<2500 g) yielded stronger associations. Most associations between birthweight and clinical characteristics appeared linear, and a higher birthweight was associated with characteristics mirroring lower birthweight in opposite directions. Results were robust to adjustments for PS representing weighted genetic predisposition for type 2 diabetes and birthweight. CONCLUSION/INTERPRETATION Despite younger age at diagnosis, and fewer individuals with obesity and family history of type 2 diabetes, a birthweight <3000 g was associated with more comorbidities, including a higher systolic BP, as well as with greater use of glucose-lowering and antihypertensive medications, in individuals with recently diagnosed type 2 diabetes.
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Affiliation(s)
- Aleksander L Hansen
- Steno Diabetes Center Copenhagen, Herlev, Denmark.
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark.
| | - Reimar W Thomsen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | | | - Helene M L Svane
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Rasmus T Jensen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Mette K Andersen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Torben Hansen
- Novo Nordisk Foundation Center for Basic Metabolic Research, University of Copenhagen, Copenhagen, Denmark
| | - Jens S Nielsen
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Peter Vestergaard
- Steno Diabetes Center North Denmark, Aalborg University Hospital, Aalborg, Denmark
| | - Kurt Højlund
- Steno Diabetes Center Odense, Odense University Hospital, Odense, Denmark
| | - Niels Jessen
- Steno Diabetes Center Aarhus University Hospital, Aarhus, Denmark
| | - Michael H Olsen
- Department of Regional Health Research, University of Southern Denmark, Odense, Denmark
- Department of Internal Medicine and Steno Diabetes Center Zealand, Holbæk Hospital, Holbæk, Denmark
| | - Henrik T Sørensen
- Department of Clinical Epidemiology, Aarhus University and Aarhus University Hospital, Aarhus, Denmark
| | - Allan A Vaag
- Steno Diabetes Center Copenhagen, Herlev, Denmark.
- Lund University Diabetes Center, Lund University, Malmö, Sweden.
- Department of Endocrinology, Skåne University Hospital, Malmö, Sweden.
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11
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Lopez-Sublet M, Merkling T, Girerd N, Xhaard C, Flahault A, Bozec E, Leroy C, Fujikawa T, Vaag AA, Mebazaa A, Kistorp CM, Heude B, Boivin JM, Zannad F, Wagner S, Rossignol P. Birth weight and subclinical cardiovascular and renal damage in a population-based study (the STANISLAS cohort study). J Hypertens 2023; 41:1040-1050. [PMID: 37071444 DOI: 10.1097/hjh.0000000000003438] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 04/19/2023]
Abstract
OBJECTIVE Although preterm-born and low-birth-weight individuals have an increased risk of cardiovascular diseases in adulthood, little is known regarding early cardiovascular and renal damage (CVRD) or hypertension in adulthood. Our study investigated the association of birth weight with early CVRD markers as well as the heritability of birth weight in an initially healthy family-based cohort. METHODS This study was based on 1028 individuals from the familial longitudinal STANISLAS cohort (399 parents/629 children) initiated in 1993-1995, with a fourth examination conducted in 2011-2016. Analyses performed at the fourth visit included pulse-wave velocity, central pressure, ambulatory blood pressure, hypertension status, diastolic dysfunction/distensibility, left ventricular mass indexed (LVMI), carotid intima-media thickness and kidney damage. The family structure of the cohort allowed birth weight heritability estimation. RESULTS Mean (±SD) birth weight was 3.3 ± 0.6 kg. Heritability was moderate (42-44%). At the fourth visit, individuals were 37 years old (32.0-57.0), 56% were women and 13% had antihypertensive treatment. Birth weight was strongly and negatively associated with hypertension [odds ratio (OR) 95% confidence interval (CI) 0.61 (0.45-0.84)]. A nonlinear association was found with LVMI, participants with a birth weight greater than 3 kg having a higher LVMI. A positive association ( β 95% CI 5.09 (1.8-8.38)] was also observed between birth weight and distensibility for adults with normal BMI. No associations were found with other CVRD. CONCLUSION In this middle-aged population, birth weight was strongly and negatively associated with hypertension, and positively associated with distensibility in adults with normal BMI and with LVMI for higher birth weights. No associations were found with other CVRD markers.
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Affiliation(s)
- Marilucy Lopez-Sublet
- AP-HP, Hôpital Avicenne, Centre d'Excellence Européen en Hypertension Artérielle, Service de Médecine Interne
- INSERM UMR 942 MASCOT, Paris 13-Université Paris Nord, Bobigny
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
| | - Thomas Merkling
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Nicolas Girerd
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Constance Xhaard
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Adrien Flahault
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Service de Néphrologie, Hôpital Européen Georges Pompidou, Paris, France
| | - Erwan Bozec
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Celine Leroy
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Tomona Fujikawa
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Allan Arthur Vaag
- Steno Diabetes Center Copenhagen, Borgmester Ib Juuls Vej 83, 2730 Herlev, Denmark
| | - Alexandre Mebazaa
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- UMR-S 942 INSERM, Lariboisière Hospital, Paris
- Paris Diderot University, Sorbonne Paris Cité
- Department of Anaesthesiology and Critical Care, Laribosière Hospital, AP-HP, Paris
| | - Caroline Michaela Kistorp
- Department of Endocrinology, Copenhagen University Hospital, Rigshospitalet; Faculty of Health and Medical Sciences, University of Copenhagen, Denmark
| | - Barbara Heude
- Université de Paris, Research Center in Epidemiology and Biostatistics (CRESS), INSERM, INRAE, Paris, France
| | - Jean Marc Boivin
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Faiez Zannad
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Sandra Wagner
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
| | - Patrick Rossignol
- FCRIN INI-CRCT (Cardiovascular and Renal Clinical Trialists)
- Université de Lorraine, INSERM CIC-P 1433, CHRU de Nancy, INSERM U1116, Nancy
- Medicine and Nephrology-Hemodialysis departments, Princess Grace Hospital, and Monaco Private Hemodialysis Centre, Monaco, Monaco
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12
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Elingaard-Larsen LO, Villumsen SO, Justesen L, Thuesen ACB, Kim M, Ali M, Danielsen ER, Legido-Quigley C, van Hall G, Hansen T, Ahluwalia TS, Vaag AA, Brøns C. Circulating Metabolomic and Lipidomic Signatures Identify a Type 2 Diabetes Risk Profile in Low-Birth-Weight Men with Non-Alcoholic Fatty Liver Disease. Nutrients 2023; 15:nu15071590. [PMID: 37049431 PMCID: PMC10096690 DOI: 10.3390/nu15071590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/10/2023] [Revised: 03/09/2023] [Accepted: 03/15/2023] [Indexed: 03/28/2023] Open
Abstract
The extent to which increased liver fat content influences differences in circulating metabolites and/or lipids between low-birth-weight (LBW) individuals, at increased risk of type 2 diabetes (T2D), and normal-birth-weight (NBW) controls is unknown. The objective of the study was to perform untargeted serum metabolomics and lipidomics analyses in 26 healthy, non-obese early-middle-aged LBW men, including five men with screen-detected and previously unrecognized non-alcoholic fatty liver disease (NAFLD), compared with 22 age- and BMI-matched NBW men (controls). While four metabolites (out of 65) and fifteen lipids (out of 279) differentiated the 26 LBW men from the 22 NBW controls (p ≤ 0.05), subgroup analyses of the LBW men with and without NAFLD revealed more pronounced differences, with 11 metabolites and 56 lipids differentiating (p ≤ 0.05) the groups. The differences in the LBW men with NAFLD included increased levels of ornithine and tyrosine (PFDR ≤ 0.1), as well as of triglycerides and phosphatidylcholines with shorter carbon-chain lengths and fewer double bonds. Pathway and network analyses demonstrated downregulation of transfer RNA (tRNA) charging, altered urea cycling, insulin resistance, and an increased risk of T2D in the LBW men with NAFLD. Our findings highlight the importance of increased liver fat in the pathogenesis of T2D in LBW individuals.
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13
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Zhou F, Yang L, Sun W, Wang X, Guo N, Ma H, Yang L. The PPARα/CYP4A14 bile acid pathway is associated with lipid metabolism disorders caused by low birth weight with high-fat diet. Food Nutr Res 2023; 67:8994. [PMID: 36794015 PMCID: PMC9899044 DOI: 10.29219/fnr.v67.8994] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2022] [Revised: 10/14/2022] [Accepted: 11/04/2022] [Indexed: 01/25/2023] Open
Abstract
Purpose To investigate possible mechanisms underlying the greater susceptibility of lipid metabolism disorders in low birth weight (LBW) mice fed with high-fat diets (HFDs). Methods LBW mice model was established by using the pregnancy malnutrition method. Male pups were selected from LBW and normal-birth weight (NBW) offspring at random. After 3 weeks of weaning, all offspring mice were fed with HFD. Serum triglycerides (TGs), cholesterol (TC), low density lipoprotein (LDL-C), total bile acid (TAB), non-esterified fatty acid (NEFA), and mice fecal bile acid profiles were measured. Lipid deposition in liver sections was visualized by Oil Red O staining. The weight ratio of liver, muscle, and adiposity was calculated. Tandem mass tag (TMT) combined with LC-MS/MS was used to determine the differentially expressed proteins (DEPs) of liver tissue in two groups. Bioinformatics was used for further analysis of DEPs to screen key target proteins, and then Western Blot (WB) and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) were performed to validate the expressions of DEPs. Results LBW mice fed with HFD showed more severe lipid metabolism disorders in the childhood. In contrast to the NBW group, the serum bile acids and fecal ω-muricholic acid (ω-MCA) levels in the LBW group were significantly lower. LC-MS/MS analysis showed that downregulated proteins were associated with lipid metabolism, and further analysis found that these proteins are mainly concentrated in peroxisome proliferation-activated receptor (PPAR) and primary bile acid synthesis signaling pathways and are involved in cellular processes and metabolic processes through binding and catalytic functions. Bioinformatics analysis indicated that the level of Cytochrome P450 Family 46 Subfamily A Member 1 (CYP46A1), PPARα, key factors of cholesterol metabolism and bile acid synthesis, as well as downstream molecules Cytochrome P450 Family 4 Subfamily A Member 14 (CYP4A14), and Acyl-Coenzyme A Oxidase 2 (ACOX2) are markedly different in the liver of LBW individuals fed with HFD, and confirmed by WB and RT-qPCR. Conclusion LBW mice are more prone to dyslipidemia probably due to downregulated bile acid metabolism-related PPARα/CYP4A14 pathway, resulting in insufficient metabolism of cholesterol to bile acids, which, in turn, leads to elevated blood cholesterol.
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Affiliation(s)
- Fei Zhou
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, China,Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, China
| | - Linquan Yang
- Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, China
| | - Wenwen Sun
- Department of Internal Medicine, North China University of Science and Technology, Tangshan, China
| | - Xing Wang
- Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, China
| | - Na Guo
- Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, China
| | - Huijuan Ma
- Department of Internal Medicine, Hebei Medical University, Shijiazhuang, China,Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, China,Department of Endocrinology, Hebei General Hospital, Shijiazhuang, China,Huijuan Ma Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei, China.
| | - Linlin Yang
- Key Laboratory of Metabolic Diseases, Hebei General Hospital, Shijiazhuang, China,Linlin Yang Hebei Key Laboratory of Metabolic Diseases, Hebei General Hospital, 348 Heping West Road, Shijiazhuang, Hebei, China.
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14
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Erickson ML, Allen JM, Beavers DP, Collins LM, Davidson KW, Erickson KI, Esser KA, Hesselink MKC, Moreau KL, Laber EB, Peterson CA, Peterson CM, Reusch JE, Thyfault JP, Youngstedt SD, Zierath JR, Goodpaster BH, LeBrasseur NK, Buford TW, Sparks LM. Understanding heterogeneity of responses to, and optimizing clinical efficacy of, exercise training in older adults: NIH NIA Workshop summary. GeroScience 2022; 45:569-589. [PMID: 36242693 PMCID: PMC9886780 DOI: 10.1007/s11357-022-00668-3] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/26/2022] [Accepted: 09/28/2022] [Indexed: 02/03/2023] Open
Abstract
Exercise is a cornerstone of preventive medicine and a promising strategy to intervene on the biology of aging. Variation in the response to exercise is a widely accepted concept that dates back to the 1980s with classic genetic studies identifying sequence variations as modifiers of the VO2max response to training. Since that time, the literature of exercise response variance has been populated with retrospective analyses of existing datasets that are limited by a lack of statistical power from technical error of the measurements and small sample sizes, as well as diffuse outcomes, very few of which have included older adults. Prospective studies that are appropriately designed to interrogate exercise response variation in key outcomes identified a priori and inclusive of individuals over the age of 70 are long overdue. Understanding the underlying intrinsic (e.g., genetics and epigenetics) and extrinsic (e.g., medication use, diet, chronic disease) factors that determine robust versus poor responses to various exercise factors will be used to improve exercise prescription to target the pillars of aging and optimize the clinical efficacy of exercise training in older adults. This review summarizes the proceedings of the NIA-sponsored workshop entitled, "Understanding Heterogeneity of Responses to, and Optimizing Clinical Efficacy of, Exercise Training in Older Adults" and highlights the importance and current state of exercise response variation research, particularly in older adults, prevailing challenges, and future directions.
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Affiliation(s)
- Melissa L Erickson
- Translational Research Institute, AdventHealth, 301 E Princeton St, Orlando, FL, 32804, USA
| | - Jacob M Allen
- Department of Kinesiology and Community Health, University of Illinois at Urbana-Champaign, Champaign, IL, USA
| | - Daniel P Beavers
- Department of Statistical Sciences, Wake Forest University, Winston-Salem, NC, USA
| | - Linda M Collins
- Department of Social and Behavioral Sciences, New York University, New York, NY, USA
| | - Karina W Davidson
- Institute of Health System Science, Feinstein Institutes for Medical Research, Northwell Health, New York, NY, USA
| | - Kirk I Erickson
- Translational Research Institute, AdventHealth, 301 E Princeton St, Orlando, FL, 32804, USA
| | - Karyn A Esser
- Department of Physiology and Functional Genomics, University of Florida, Gainesville, FL, USA
| | - Matthijs K C Hesselink
- Department of Nutrition and Movement Sciences, NUTRIM School of Nutrition and Translational Research in Metabolism, Maastricht University, Maastricht, Netherlands
| | - Kerrie L Moreau
- Department of Medicine, Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - Eric B Laber
- Department of Statistical Sciences, Duke University, Durham, NC, USA
| | - Charlotte A Peterson
- Center for Muscle Biology, College of Health Sciences, University of Kentucky, Lexington, KY, USA
| | - Courtney M Peterson
- Department of Nutritional Sciences, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Jane E Reusch
- Department of Medicine, Division of Geriatric Medicine, University of Colorado Anschutz Medical Campus, Aurora, CO, USA
| | - John P Thyfault
- Department of Molecular and Integrative Physiology, University of Kansas Medical Center, Kansas City, KN, USA
| | - Shawn D Youngstedt
- Edson College of Nursing and Health Innovation, Arizona State University, Phoenix, AZ, USA
| | - Juleen R Zierath
- Department of Physiology and Pharmacology, Karolinska Institutet, Stockholm, Sweden
| | - Bret H Goodpaster
- Translational Research Institute, AdventHealth, 301 E Princeton St, Orlando, FL, 32804, USA
| | - Nathan K LeBrasseur
- Department of Physical Medicine and Rehabilitation, Mayo Clinic, Rochester, MN, USA
| | - Thomas W Buford
- Department of Medicine, University of Alabama at Birmingham, 1313 13th St. S., Birmingham, AL, 35244, USA.
- Birmingham/Atlanta VA GRECC, Birmingham VA Medical Center, Birmingham, AL, USA.
| | - Lauren M Sparks
- Translational Research Institute, AdventHealth, 301 E Princeton St, Orlando, FL, 32804, USA.
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