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Carbone F, Després JP, Ioannidis JPA, Neeland IJ, Garruti G, Busetto L, Liberale L, Ministrini S, Vilahur G, Schindler TH, Macedo MP, Di Ciaula A, Krawczyk M, Geier A, Baffy G, Faienza MF, Farella I, Santoro N, Frühbeck G, Yárnoz-Esquiroz P, Gómez-Ambrosi J, Chávez-Manzanera E, Vázquez-Velázquez V, Oppert JM, Kiortsis DN, Sbraccia P, Zoccali C, Portincasa P, Montecucco F. Bridging the gap in obesity research: A consensus statement from the European Society for Clinical Investigation. Eur J Clin Invest 2025:e70059. [PMID: 40371883 DOI: 10.1111/eci.70059] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/09/2025] [Accepted: 04/12/2025] [Indexed: 05/16/2025]
Abstract
BACKGROUND Most forms of obesity are associated with chronic diseases that remain a global public health challenge. AIMS Despite significant advancements in understanding its pathophysiology, effective management of obesity is hindered by the persistence of knowledge gaps in epidemiology, phenotypic heterogeneity and policy implementation. MATERIALS AND METHODS This consensus statement by the European Society for Clinical Investigation identifies eight critical areas requiring urgent attention. Key gaps include insufficient long-term data on obesity trends, the inadequacy of body mass index (BMI) as a sole diagnostic measure, and insufficient recognition of phenotypic diversity in obesity-related cardiometabolic risks. Moreover, the socio-economic drivers of obesity and its transition across phenotypes remain poorly understood. RESULTS The syndemic nature of obesity, exacerbated by globalization and environmental changes, necessitates a holistic approach integrating global frameworks and community-level interventions. This statement advocates for leveraging emerging technologies, such as artificial intelligence, to refine predictive models and address phenotypic variability. It underscores the importance of collaborative efforts among scientists, policymakers, and stakeholders to create tailored interventions and enduring policies. DISCUSSION The consensus highlights the need for harmonizing anthropometric and biochemical markers, fostering inclusive public health narratives and combating stigma associated with obesity. By addressing these gaps, this initiative aims to advance research, improve prevention strategies and optimize care delivery for people living with obesity. CONCLUSION This collaborative effort marks a decisive step towards mitigating the obesity epidemic and its profound impact on global health systems. Ultimately, obesity should be considered as being largely the consequence of a socio-economic model not compatible with optimal human health.
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Affiliation(s)
- Federico Carbone
- Department of Internal Medicine, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Genoa, Italy
| | - Jean-Pierre Després
- Institut Universitaire de Cardiologie et de Pneumologie de Québec - Université Laval, Québec, Québec, Canada
- VITAM - Centre de Recherche en santé Durable, Centre intégré Universitaire de santé et de Services Sociaux de la Capitale-Nationale, Québec, Québec, Canada
| | - John P A Ioannidis
- Department of Medicine, Stanford Cardiovascular Institute, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA
- Department of Epidemiology and Population Health, Stanford Cardiovascular Institute, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA
- Department of Biomedical Science, Stanford Cardiovascular Institute, and Meta-Research Innovation Center at Stanford (METRICS), Stanford University, Stanford, California, USA
| | - Ian J Neeland
- Case Western Reserve University School of Medicine, Cleveland, Ohio, USA
- Department of Cardiovascular Disease, Harrington Heart and Vascular Institute, Cleveland, Ohio, USA
| | - Gabriella Garruti
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy
| | - Luca Busetto
- Department of Medicine, University of Padua, Padua, Italy
| | - Luca Liberale
- Department of Internal Medicine, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Genoa, Italy
| | - Stefano Ministrini
- Center for Molecular Cardiology, University of Zurich, Schlieren, Switzerland
- Cardiology Department, Luzerner Kantonspital, Lucerne, Switzerland
| | - Gemma Vilahur
- Research Institute, Hospital de la Santa Creu i Sant Pau, IIB-Sant Pau, IIB-Sant Pau, Barcelona, Spain
- CiberCV, Institute Carlos III, Madrid, Spain
| | - Thomas H Schindler
- Washington University in St. Louis, Mallinckrodt Institute of Radiology, Division of Nuclear Medicine, Cardiovascular Medicine, Washington University School of Medicine, St. Louis, Missouri, USA
| | - Maria Paula Macedo
- APDP - Diabetes Portugal, Education and Research Center, Lisbon, Portugal
- iNOVA4Health, NOVA Medical School | Faculdade de Ciências Médicas, NMS | FCM, Universidade Nova de Lisboa, Lisbon, Portugal
| | - Agostino Di Ciaula
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy
| | - Marcin Krawczyk
- Department of Gastroenterology, Hepatology and Transplant Medicine, Medical Faculty, University of Duisburg-Essen, Essen, Germany
- Laboratory of Metabolic Liver Diseases, Department of General, Transplant and Liver Surgery, Centre for Preclinical Research, Medical University of Warsaw, Warsaw, Poland
| | - Andreas Geier
- Interdisciplinary Amyloidosis Center of Northern Bavaria, University Hospital of Würzburg, Würzburg, Germany
- Department of Internal Medicine II, Hepatology, University Hospital of Würzburg, Würzburg, Germany
| | - Gyorgy Baffy
- Department of Medicine, VA Boston Healthcare System, Harvard Medical School, Boston, Massachusetts, USA
| | - Maria Felicia Faienza
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy
| | - Ilaria Farella
- Department of Medicine and Surgery, LUM University, Casamassima, Italy
| | - Nicola Santoro
- Department of Pediatrics, Yale University School of Medicine, New Haven, Connecticut, USA
- Department of Medicine and Health Sciences, "V. Tiberio" University of Molise, Campobasso, Italy
| | - Gema Frühbeck
- Department of Endocrinology and Nutrition, Cancer Center Clínica Universidad de Navarra (CCUN), Pamplona, Spain
- IdiSNA (Instituto de Investigación en la Salud de Navarra), Pamplona, Spain
- CIBERObn (CIBER Fisiopatología de la Obesidad y Nutrición), Instituto de Salud Carlos III, Madrid, Spain
| | - Patricia Yárnoz-Esquiroz
- Department of Endocrinology and Nutrition, Cancer Center Clínica Universidad de Navarra (CCUN), Pamplona, Spain
- IdiSNA (Instituto de Investigación en la Salud de Navarra), Pamplona, Spain
- CIBERObn (CIBER Fisiopatología de la Obesidad y Nutrición), Instituto de Salud Carlos III, Madrid, Spain
| | - Javier Gómez-Ambrosi
- Department of Endocrinology and Nutrition, Cancer Center Clínica Universidad de Navarra (CCUN), Pamplona, Spain
- IdiSNA (Instituto de Investigación en la Salud de Navarra), Pamplona, Spain
- CIBERObn (CIBER Fisiopatología de la Obesidad y Nutrición), Instituto de Salud Carlos III, Madrid, Spain
| | - Emma Chávez-Manzanera
- Instituto Nacional de Ciencias Médicas y Nutrición Salvador Zubirán, Mexico City, Mexico
| | | | - Jean-Michel Oppert
- Department of Nutrition, Pitié-Salpêtrière Hospital (AP-HP), Human Nutrition Research Center Ile-de-France (CRNH IdF), Sorbonne University, Paris, France
| | - Dimitrios N Kiortsis
- Atherothrombosis Research Centre, Faculty of Medicine, University of Ioannina, Ioannina, Greece
| | - Paolo Sbraccia
- Department of Systems Medicine, University of Rome Tor Vergata, Rome, Italy
| | - Carmine Zoccali
- Renal Research Institute, New York, New York, USA
- Institute of Molecular Biology and Genetics (Biogem), Ariano Irpino, Italy
- Associazione Ipertensione Nefrologia Trapianto Renale (IPNET), c/o Nefrologia, Grande Ospedale Metropolitano, Reggio Calabria, Italy
| | - Piero Portincasa
- Department of Precision and Regenerative Medicine and Ionian Area (DiMePre-J), University of Bari "Aldo Moro", Bari, Italy
| | - Fabrizio Montecucco
- Department of Internal Medicine, University of Genoa, Genoa, Italy
- IRCCS Ospedale Policlinico San Martino, Genoa, Genoa, Italy
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Ameling S, Van der Auwera S, Holtfreter S, Wiechert A, Michalik S, Friedrich N, Hammer E, Völzke H, Nauck M, Grabe HJ, Bröker BM, Völker U. Cytokine atlas of the population-based cohort SHIP-TREND-0 - Associations with age, sex, and BMI. Cytokine 2025; 189:156896. [PMID: 40020520 DOI: 10.1016/j.cyto.2025.156896] [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: 11/05/2024] [Revised: 12/20/2024] [Accepted: 02/14/2025] [Indexed: 03/03/2025]
Abstract
BACKGROUND The characterization of physiological immune signatures in a population-based cohort is a prerequisite for identifying pathological immune signatures associated with inflammatory or autoimmune diseases. METHODS Here, 47 plasma cytokines, chemokines, and growth factors were quantified with a bead-based multiplex-assay (Merck HCYTA-60 K) using a FLEXMAP 3D™ instrument in 1175 individuals of the Study of Health in Pomerania (SHIP; TREND cohort, 532 men and 643 women, age: 20 to 81, BMI: 17.7 to 53.6). Associations of cytokine concentrations with age, sex, BMI, season, and blood cell parameters (BCP) were examined by multivariate regression models. RESULTS The physiological cytokine concentrations differed strongly between analytes, with median concentrations ranging from 0.6 to 7820 pg/mL. Many cytokine levels showed a large dynamic range within the study population. Higher levels of the pro-inflammatory cytokines and chemokines IL-6, IL-8, CXCL9, CXCL10, IL-12p40, CCL2, CCL4, CCL11, IL-27, FLT3LG, and TNFα were significantly associated with increasing age. The strongest age-associated effects were seen for CXCL9 (βst = 0.4, p < 0.001) and CXLC10 (βst = 0.3, p < 0.001). Significant sex differences were detected for CCL2, CCL3, CCL4, CCL11, CCL22, IL-12p40, IL-1RA, IL-18, IL-27, and TNFα levels among which CCL11 showed the strongest effect (βst = -0.24, p < 0.001) with a lower level in women compared to men. Moreover, seven cytokines and chemokines, i.e. CCL4, CCL22, CXCL10, IL-1RA, IL-18, IL-6, and TNFα, displayed higher levels with increasing BMI. Among those, the strongest effect was seen for IL-1RA (βst = 0.19, p < 0.001), CCL4 (βst = 0.16, p < 0.001) and CXCL10 (βst = 0.14, p < 0.001). Only CCL11 (βst = -0.17, p < 0.001) decreased with increasing BMI. Subjects categorized as obese exhibited significantly elevated levels of CCL4, CCL22, CXCL10, and IL-1RA, while only CCL11 showed significantly reduced levels compared to normal weight. Certain cytokines such as IL-6, IL-18, or TNFα showed decreased significance levels after adjustment for blood cell components indicating blood cell components (BCPs) as potential confounders. We observed no significant non-linear seasonal effects for the investigated cytokines. CONCLUSION The generated cytokine atlas provides detailed information on cytokine variations in the general population and will provide a reference base for disease-related studies in the future. Furthermore, BCPs should be considered as potential confounders in association studies based on plasma cytokine levels.
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Affiliation(s)
- Sabine Ameling
- Department Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Felix-Hausdorff-Straße 8, D-17475 Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany.
| | - Sandra Van der Auwera
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Ellernholzstraße 1, D-17475 Greifswald, Germany; German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Silva Holtfreter
- Institute of Immunology, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, D-17475 Greifswald, Germany
| | - Anja Wiechert
- Department Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Felix-Hausdorff-Straße 8, D-17475 Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Stephan Michalik
- Department Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Felix-Hausdorff-Straße 8, D-17475 Greifswald, Germany
| | - Nele Friedrich
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany; Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, D-17475 Greifswald, Germany
| | - Elke Hammer
- Department Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Felix-Hausdorff-Straße 8, D-17475 Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
| | - Henry Völzke
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany; Institute for Community Medicine, University Medicine Greifswald, Walther-Rathenau-Straße 48, D-17475 Greifswald, Germany
| | - Matthias Nauck
- German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany; Institute of Clinical Chemistry and Laboratory Medicine, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, D-17475 Greifswald, Germany
| | - Hans J Grabe
- Department of Psychiatry and Psychotherapy, University Medicine Greifswald, Ellernholzstraße 1, D-17475 Greifswald, Germany; German Centre for Neurodegenerative Diseases (DZNE), Site Rostock/Greifswald, Greifswald, Germany
| | - Barbara M Bröker
- Institute of Immunology, University Medicine Greifswald, Ferdinand-Sauerbruch-Straße, D-17475 Greifswald, Germany
| | - Uwe Völker
- Department Functional Genomics, Interfaculty Institute for Genetics and Functional Genomics, University Medicine Greifswald, Felix-Hausdorff-Straße 8, D-17475 Greifswald, Germany; German Centre for Cardiovascular Research (DZHK), Partner Site Greifswald, Greifswald, Germany
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Brown AF, Aguiar Bonfim Cruz AJ, Schwartz MG, Brooks SJ, Chandler AJ. Adolescents with Normal Weight Obesity Have Less Dry Lean Mass Compared to Obese Counterparts. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2025; 22:171. [PMID: 40003397 PMCID: PMC11855167 DOI: 10.3390/ijerph22020171] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 11/16/2024] [Revised: 01/21/2025] [Accepted: 01/21/2025] [Indexed: 02/27/2025]
Abstract
Normal weight obesity (NWO) is a condition characterized by a normal body mass index (BMI; 18.5-24.9 kg·m-2) yet excess body fat. Those with this condition have an increased risk of cardiometabolic diseases associated with obesity. The prevalence of NWO is not well investigated in adolescents, particularly in the United States. This study examined the prevalence of NWO and dietary behaviors among adolescents aged 14-19 years old (n = 139) who live in a rural area in the United States. Data were collected from December 2019 through February 2020. Body composition was assessed via bioelectrical impedance analysis and diet was assessed using an Automated Self-Administered 24 h food recall questionnaire. Participants were categorized by BMI and body fat percentage as NWO, normal weight lean (NWL), or obese (OB). The sample prevalence of NWO was 13.6%, with girls having a higher prevalence (22.2%) than boys (1.8%). Those with NWO had significantly lower dry lean mass than OB (p = 0.02), but there were no differences between NWL and OB (p = 0.08). There was significantly higher caloric intake (p = 0.02) among NWL compared to OB, and NWL consumed more fiber than both NWO (p = 0.02) and OB (p = 0.03). Overall, this study gives us a better understanding of the prevalence of NWO in the adolescent population and the dietary habits associated with each group. Those with NWO may be at increased risk for negative long-term health outcomes commonly associated with obesity. Additionally, the higher caloric intake among NWL was unexpected and should be investigated further.
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Affiliation(s)
- Ann F. Brown
- Department of Movement Sciences, College of Education, Health & Human Sciences, University of Idaho, Moscow, ID 83843, USA; (A.F.B.); (A.J.A.B.C.); (S.J.B.)
| | - Ariel J. Aguiar Bonfim Cruz
- Department of Movement Sciences, College of Education, Health & Human Sciences, University of Idaho, Moscow, ID 83843, USA; (A.F.B.); (A.J.A.B.C.); (S.J.B.)
| | - Malayna G. Schwartz
- WWAMI Medical Education Program, University of Idaho, Moscow, ID 83843, USA;
| | - Samantha J. Brooks
- Department of Movement Sciences, College of Education, Health & Human Sciences, University of Idaho, Moscow, ID 83843, USA; (A.F.B.); (A.J.A.B.C.); (S.J.B.)
| | - Alexa J. Chandler
- Department of Movement Sciences, College of Education, Health & Human Sciences, University of Idaho, Moscow, ID 83843, USA; (A.F.B.); (A.J.A.B.C.); (S.J.B.)
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Ma M, Lv D, Wu X, Chen Y, Dai S, Luo Y, Yang H, Xie W, Xie F, Shang Q, Zhang Z, Zhao Z, Zhou JC. Association between normal weight obesity and comorbidities and events of cardiovascular diseases among adults in South China. PLoS One 2025; 20:e0316346. [PMID: 39777912 PMCID: PMC11709311 DOI: 10.1371/journal.pone.0316346] [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: 02/15/2024] [Accepted: 12/09/2024] [Indexed: 01/11/2025] Open
Abstract
BACKGROUND The increased risks for cardiovascular comorbidities and cardiovascular diseases (CVD) in populations with normal weight obesity (NWO) have not been well-identified. We aimed to study their associations in an adult population in South China. METHODS Based on the CVD prevalence of 4% in Shenzhen and a calculated sample size of 6,000, a cross-sectional study with a multi-stage stratified cluster sampling method was conducted in Shenzhen City. The cardiovascular comorbidities being studied were abdominal obesity (AO), diabetes, hypertension, dyslipidemia, metabolic syndrome, and chronic kidney disease, while the CVD events were occurrences of myocardial infarction and strokes. Questionnaire surveys, physical examinations, and laboratory tests were performed. NWO was defined as a condition with the highest tertile of body fat percentage (BF%) among the normal body mass index (BMI) range (18.5-23.9 kg/m2). Continuous data were reported as mean [standard deviation (SD)] and categorical data as percentages (%). CVD comorbidities and CVD events and their detection rates in different groups were compared using ANONA analysis and Chi-squared test. Spearman's correlation coefficients between BF% and cardiometabolic abnormalities were calculated by partial correlation analysis. Multivariate logistic regression models were used to estimate the odds ratios (ORs) and 95% confidence intervals (CIs) for BF%, CVD comorbidities, and CVD events, adjusted for multiple confounders. RESULTS Among the total 6,240 subjects who completed the study and had BMI and BF% data available, 3,086 had normal BMI. The prevalence of NWO was 16.36%, with 13.15% for men and 19.54% for women. With confounders adjusted, the risks of AO (OR = 6.05, 95%CI = 3.40-10.75), essential hypertension (OR = 1.56, 95%CI = 1.09-2.22), dyslipidemia (OR = 1.85, 95%CI = 1.49-2.29), and metabolic syndrome (OR = 4.61, 95%CI = 2.32-9.18) were significantly increased in the populations with NWO compared with the population without NWO (P < 0.05). BF% was not significantly associated with the risk of CVD events in the total (OR = 1.56, 95%CI = 0.83-2.93), male (OR = 1.00, 95%CI = 0.44-2.30), and female populations (OR = 2.53, 95%CI = 0.91-7.06). CONCLUSION NWO was found to be positively associated with CVD comorbidities but not with CVD events. The current study provides a ground to conduct further studies on whether body fat affects the risk of occurrence of CVD events and the underlying mechanisms in the future.
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Affiliation(s)
- Miaomiao Ma
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Deliang Lv
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Xiaobing Wu
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Yuqing Chen
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Shimiao Dai
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
| | - Yutian Luo
- School of Public Health, Columbia University, New York, NY, United States of America
| | - Hui Yang
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Wei Xie
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Fengzhu Xie
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Qinggang Shang
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Ziyang Zhang
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Zhiguang Zhao
- Shenzhen Center for Chronic Disease Control, Shenzhen, China
| | - Ji-Chang Zhou
- School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-sen University, Shenzhen, China
- Guangdong Province Engineering Laboratory for Nutrition Translation, Guangzhou, Guangdong, China
- Guangdong Provincial Key Laboratory of Food, Nutrition and Health, Guangzhou, Guangdong, China
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Bålsrud P, Ulven SM, Ottestad I, Retterstøl K, Schwab U, Holven KB. Association between inflammatory markers, body composition and frailty in home-dwelling elderly: an 8-year follow-up study. GeroScience 2024; 46:5629-5641. [PMID: 38981983 PMCID: PMC11494618 DOI: 10.1007/s11357-024-01279-w] [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: 05/22/2024] [Accepted: 07/01/2024] [Indexed: 07/11/2024] Open
Abstract
Frailty has been linked to inflammation and changes in body composition, but the findings are inconsistent. To explore this, we used the Frailty Index (FI) definition to (1) investigate the association between levels of inflammatory markers (baseline) and change in FI score after 8 years of follow-up and (2) investigate the longitudinal associations between inflammatory markers, body composition, and frailty. Home-dwelling elderly (≥ 70 years) were invited to participate in the study and re-invited to a follow-up visit 8 years later. This study includes a total of 133 participants. The inflammatory markers included were high-sensitive C-reactive protein (hs-CRP), interleukin 6 (IL-6), tumor necrosis factor alpha (TNF-α), and glycoprotein acetyls (Gp-acetyls). We used the body composition markers fat mass, fat-free mass, and waist circumference. The FI score consisted of 38 variables. Additional clinical assessments such as blood pressure and body mass index (BMI), as well as information about daily medications, were collected at both visits. Linear regression model and Spearman's rank correlation were used to investigate associations. We showed that the FI score increased after 8 years, and participants with higher hs-CRP levels at baseline had the largest change in the FI score. Changes in fat mass were significantly correlated with changes in hs-CRP and IL-6, and changes in waist circumference were significantly correlated with changes in TNF-α. The use of drugs increased during the 8 years of follow-up, which may have attenuated the associations between inflammation and frailty. However, elevated concentrations of hs-CRP in the elderly may be associated with an increased risk of frailty in subsequent years.
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Affiliation(s)
- Pia Bålsrud
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Stine M Ulven
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
| | - Inger Ottestad
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- Clinical Nutrition, Department of Clinical Service, Division of Cancer Medicine, Oslo University Hospital, Oslo, Norway
| | - Kjetil Retterstøl
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway
- The Lipid Clinic, Oslo University Hospital, Oslo, Norway
| | - Ursula Schwab
- Institute of Public Health and Clinical Nutrition, University of Eastern Finland, Kuopio, Finland
- Department of Medicine, Endocrinology and Clinical Nutrition, Kuopio University Hospital, Wellbeing Services County of North Savo, Kuopio, Finland
| | - Kirsten B Holven
- Department of Nutrition, Institute of Basic Medical Sciences, University of Oslo, Oslo, Norway.
- National Advisory Unit On Familial Hypercholesterolemia, Oslo University Hospital, Oslo, Norway.
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Xu K, Shen Y, Shi L, Chen F, Zhang B, He Y, Wang Y, Liu Y, Shi G, Mi B, Zeng L, Dang S, Liu X, Yan H. Lipidomic perturbations of normal-weight adiposity phenotypes and their mediations on diet-adiposity associations. Clin Nutr 2024; 43:20-30. [PMID: 39307096 DOI: 10.1016/j.clnu.2024.09.020] [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: 02/28/2024] [Revised: 09/03/2024] [Accepted: 09/05/2024] [Indexed: 10/26/2024]
Abstract
BACKGROUND & AIMS Normal-weight obesity (NWO) and normal-weight central obesity (NWCO) have been linked to higher cardiometabolic risks, but their etiological bases and attributable dietary factors remain unclear. In this study we therefore aimed to identify lipidomic signatures and dietary factors related to NWO and NWCO and to explore the mediation associations of lipids in diet-adiposity associations. METHODS Using a high-coverage targeted lipidomic approach, we quantified 1245 serum lipids in participants with NWO (n = 150), NWCO (n = 150), or propensity-score-matched normal-weight controls (n = 150) based on the Regional Ethnic Cohort Study in Northwest China. Consumption frequency of 28 major food items was recorded using a food frequency questionnaire. RESULTS Profound lipidomic perturbations of NWCO relative to NWO were observed, and 249 (dominantly glycerolipids) as well as 48 (dominantly glycerophospholipids) lipids were exclusively associated with NWCO or NWO. Based on strong lipidomic signatures identified by a LASSO model, phospholipid biosynthesis was the top enriched pathway of NWCO, and sphingolipid metabolism was the top pathway of NWO. Remarkably, sphingolipids were positively associated with NWO and NWCO, but lyso-phosphatidylcholines were negatively associated with them. Rice, fruit juice, and carbonated drink intakes were positively associated with the risk of NWCO. Both global and individual lipidomic signatures, including SE(28:1_22:6) and HexCer(d18:1/20:1), mediated these diet-NWCO associations (mediation proportion: 15.92%-26.10%). CONCLUSIONS Differential lipidomic signatures were identified for overall and abdominal adiposity accumulation in normal-weight individuals, underlining their core mediation roles in dietary contributions to adiposity deposition.
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Affiliation(s)
- Kun Xu
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China
| | - Yuan Shen
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China
| | - Lin Shi
- School of Food Engineering and Nutritional Science, Shaanxi Normal University, 710062, Xi' an, Shaanxi, China
| | - Fangyao Chen
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China
| | - Binyan Zhang
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China; School of Public Health, Xi'an Medical College, Xi'an, 710021, China
| | - Yafang He
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China
| | - Yutong Wang
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China
| | - Yezhou Liu
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China
| | - Guoshuai Shi
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China
| | - Baibing Mi
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China
| | - Lingxia Zeng
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China
| | - Shaonong Dang
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China.
| | - Xin Liu
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China.
| | - Hong Yan
- Key Laboratory for Disease Prevention and Control and Health Promotion of Shaanxi Province, Department of Epidemiology and Biostatistics, School of Public Health, Global Health Institute, Xi'an Jiaotong University Health Science Center, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China; Key Laboratory of Environment and Genes Related to Diseases of Ministry of Education of China, Xi'an Jiaotong University, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China; Nutrition and Food Safety Engineering Research Center of Shaanxi Province, Key Laboratory of Environment and Genes Related to Diseases, Xi'an Jiaotong University, 76 West Yanta Road, 710061, Xi'an, Shaanxi, China.
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7
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Lee S, Lee J, Cho SH, Roh G, Park HJ, Lee YJ, Jeon HE, Lee YS, Bae SH, Youn SB, Cho Y, Oh A, Ha D, Lee SY, Choi EJ, Cho S, Lee S, Kim DH, Kang MH, Yoon MS, Lim BK, Nam JH. Assessing the impact of mRNA vaccination in chronic inflammatory murine model. NPJ Vaccines 2024; 9:34. [PMID: 38360752 PMCID: PMC10869740 DOI: 10.1038/s41541-024-00825-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2023] [Accepted: 02/01/2024] [Indexed: 02/17/2024] Open
Abstract
The implications of administration of mRNA vaccines to individuals with chronic inflammatory diseases, including myocarditis, rheumatoid arthritis (RA), and inflammatory bowel disease (IBD), are unclear. We investigated mRNA vaccine effects in a chronic inflammation mouse model implanted with an LPS pump, focusing on toxicity and immunogenicity. Under chronic inflammation, mRNA vaccines exacerbated cardiac damage and myocarditis, inducing mild heart inflammation with heightened pro-inflammatory cytokine production and inflammatory cell infiltration in the heart. Concurrently, significant muscle damage occurred, with disturbances in mitochondrial fusion and fission factors signaling impaired muscle repair. However, chronic inflammation did not adversely affect muscles at the vaccination site or humoral immune responses; nevertheless, it partially reduced the cell-mediated immune response, particularly T-cell activation. These findings underscore the importance of addressing mRNA vaccine toxicity and immunogenicity in the context of chronic inflammation, ensuring their safe and effective utilization, particularly among vulnerable populations with immune-mediated inflammatory diseases.
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Affiliation(s)
- Seonghyun Lee
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Jisun Lee
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Sun-Hee Cho
- Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon, 21999, Republic of Korea
| | - Gahyun Roh
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Hyo-Jung Park
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - You-Jeung Lee
- Department of Biomedical Science, Jungwon University, Goesan-gun, Chungbuk, 28024, Republic of Korea
| | - Ha-Eun Jeon
- Department of Biomedical Science, Jungwon University, Goesan-gun, Chungbuk, 28024, Republic of Korea
| | - Yu-Sun Lee
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Seo-Hyeon Bae
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Sue Bean Youn
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Youngran Cho
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Ayoung Oh
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Dahyeon Ha
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Soo-Yeon Lee
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Eun-Jin Choi
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Seongje Cho
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Sowon Lee
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
| | - Do-Hyung Kim
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- SML Biopharm, Gwangmyeong, 14353, Republic of Korea
| | - Min-Ho Kang
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea
- Department of Biomedical-Chemical Engineering, The Catholic University of Korea, 43 Jibong-ro, Bucheon-si, Gyeonggi-do, 14662, Republic of Korea
| | - Mee-Sup Yoon
- Department of Health Sciences and Technology, GAIHST, Gachon University, Incheon, 21999, Republic of Korea.
- Department of Molecular Medicine, College of Medicine, Gachon University, Incheon, 21999, Republic of Korea.
- Lee Gil Ya Cancer and Diabetes Institute, Incheon, 21999, Republic of Korea.
| | - Byung-Kwan Lim
- Department of Biomedical Science, Jungwon University, Goesan-gun, Chungbuk, 28024, Republic of Korea.
| | - Jae-Hwan Nam
- Department of Medical and Biological Sciences, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea.
- BK21 four Department of Biotechnology, The Catholic University of Korea, Gyeonggi-do, Bucheon, Republic of Korea.
- SML Biopharm, Gwangmyeong, 14353, Republic of Korea.
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8
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Kim J, Kang S, Kang H. Association between normal-weight obesity and bone mineral density in older Korean adults: A population-based cross-sectional study. Maturitas 2024; 180:107891. [PMID: 38006815 DOI: 10.1016/j.maturitas.2023.107891] [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: 07/05/2023] [Revised: 11/15/2023] [Accepted: 11/17/2023] [Indexed: 11/27/2023]
Abstract
The effects of normal-weight obesity, which is defined as having a high level of body fat despite a normal body mass index, on the health of bones in older adults are poorly understood. This cross-sectional study examined the relationship between normal-weight obesity and bone mineral density in Korean adults aged 50 years or more (2815 men and 2744 women) from the 2008-2011 Korea National Health and Nutrition Examination Surveys. Between the ages of 50 and 69 years, individuals with normal-weight obesity had a higher risk of low bone mineral density (odds ratio = 1.596, 95 % confidence interval = 1.189-2.141, p = 0.002) compared with individuals with normal-weight non-obesity. However, no significant association between normal-weight obesity and bone mineral density was observed among people between the ages of 70 and 89 years. The study findings support the clinical significance of normal-weight obesity as a proxy biomarker to identify in primary care settings people who are at increased risk of developing osteoporosis at an early stage of aging.
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Affiliation(s)
- Jeonghyeon Kim
- College of Sport Science, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Seamon Kang
- College of Sport Science, Sungkyunkwan University, Suwon 16419, Republic of Korea
| | - Hyunsik Kang
- College of Sport Science, Sungkyunkwan University, Suwon 16419, Republic of Korea.
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9
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Kim J, Kang S, Kang H. Normal-Weight Obesity and Metabolic Syndrome in Korean Adults: A Population-Based Cross-Sectional Study. Healthcare (Basel) 2023; 11:2303. [PMID: 37628501 PMCID: PMC10454074 DOI: 10.3390/healthcare11162303] [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: 07/09/2023] [Revised: 08/03/2023] [Accepted: 08/14/2023] [Indexed: 08/27/2023] Open
Abstract
BACKGROUND The disadvantage of using body mass index (BMI) as an obesity diagnostic tool is that it cannot distinguish between fat mass and lean mass, which may understate the impact of obesity on metabolic complications. This population-based cross-sectional study aimed to investigate the relationship between normal-weight obesity (NWO) and metabolic syndrome in Korean adults aged 20 years (5962 males and 6558 females) who took part in the Korea National Health and Nutrition Examination Surveys from 2008 to 2011. METHODS NWO was defined as having a BMI of 18.5 to 24.9 kg/m2 and a body fat percentage of 26.0% in males or 36.0% in females. Metabolic syndrome (MetS) was defined using the revised National Cholesterol Education Program definition, with a Korean-specific waist circumference threshold of >90 cm for males and >85 cm for females. RESULTS NWO males and females were 2.7 times (p < 0.001) and 1.9 times (p < 0.001) more likely to develop metabolic syndrome than normal-weight non-obese males and females, respectively. Additionally, NWO females were 1.3 times (p = 0.027) more likely to develop MetS even after adjustments for all measured covariates. CONCLUSIONS The current findings of the study show that NWO is a proxy biomarker of MetS to be considered for early intervention.
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Affiliation(s)
| | | | - Hyunsik Kang
- College of Sport Science, Sungkyunkwan University, Suwon 16419, Republic of Korea; (J.K.); (S.K.)
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10
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Vales-Villamarín C, de Dios O, Pérez-Nadador I, Gavela-Pérez T, Soriano-Guillén L, Garcés C. Leptin Concentrations Determine the Association between High-Sensitivity C-Reactive Protein Levels and Body Mass Index in Prepubertal Children. Nutrients 2023; 15:nu15102388. [PMID: 37242271 DOI: 10.3390/nu15102388] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 05/08/2023] [Accepted: 05/18/2023] [Indexed: 05/28/2023] Open
Abstract
Obesity is associated with the presence of low-grade inflammation even during childhood. The dysregulation in the secretion of adipokines, such as leptin, which occurs in obesity states, could be associated with an increase in inflammatory factors already at an early age. In this cross-sectional study, we aimed to investigate the role of leptin levels in the association between body mass index (BMI) and high-sensitivity C-reactive protein (hs-CRP) in healthy schoolchildren. Leptin and hs-CRP levels were analyzed in two pediatric cohorts comprising 684 prepubertal children and 763 adolescents. hs-CRP concentrations correlated significantly with BMI and leptin levels in prepubertal males and females as well as in adolescents. However, after adjusting for leptin concentration, no significant correlation was observed between hs-CRP and BMI in prepubertal children, while the correlations remained significant in adolescents. The same differences were observed when analyzed BMI according to hs-CRP tertile after adjusting for leptin; mean BMI was not significantly different between hs-CRP tertile in prepubertal children but was significantly different in adolescents. In conclusion, the fact that leptin concentrations determine the association of BMI with hs-CRP levels in prepubertal children, but not in adolescents, suggests a role for leptin in low-grade inflammation at early ages, while other factors seem to contribute to hs-CRP levels later in life.
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Affiliation(s)
| | - Olaya de Dios
- Lipid Research Laboratory, IIS-Fundación Jimenez Diaz, UAM, 28040 Madrid, Spain
| | - Iris Pérez-Nadador
- Lipid Research Laboratory, IIS-Fundación Jimenez Diaz, UAM, 28040 Madrid, Spain
| | - Teresa Gavela-Pérez
- Department of Pediatrics, IIS-Fundación Jimenez Diaz, UAM, 28040 Madrid, Spain
| | | | - Carmen Garcés
- Lipid Research Laboratory, IIS-Fundación Jimenez Diaz, UAM, 28040 Madrid, Spain
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