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Tas E, Flint A, Libman I, Muzumdar R, Ou X, Williams DK, Børsheim E, Diaz EC. The association between hepatic steatosis, vitamin D status, and insulin resistance in adolescents with obesity. OBESITY PILLARS 2025; 14:100173. [PMID: 40206184 PMCID: PMC11979404 DOI: 10.1016/j.obpill.2025.100173] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 02/25/2025] [Revised: 03/15/2025] [Accepted: 03/16/2025] [Indexed: 04/11/2025]
Abstract
Introduction Epidemiological studies suggest an inverse relationship between circulating 25-hydroxy-vitamin D [25(OH)D] levels and insulin resistance (IR), yet interventional studies have yielded inconsistent findings. This study examined the relationship between changes in vitamin D status and markers of IR in adolescents, with a focus on the modifying effect of liver fat. Methods A post-hoc analysis was performed using data from 44 adolescents participating in a 6-month observational study evaluating biomarkers of hepatosteatosis. Participants were categorized into two groups based on vitamin D status at the end of the observation period: those whose vitamin D levels increased or remained sufficient (VDI, n = 22) and those whose levels decreased or remained insufficient/deficient (VDD, n = 22). Liver fat percentage was measured using magnetic resonance imaging (MRI) fat-fraction, and IR was assessed using the updated Homeostatic Model Assessment for Insulin Resistance (HOMA2-IR) and the triglyceride-to-high-density lipoprotein cholesterol ratio (TG/HDL). Results Across the cohort, liver fat was positively associated with HOMA2-IR (β = 0.08, p = 0.023). The association between changes in vitamin D status and HOMA2-IR trajectories was modified by liver fat but only in Hispanic adolescents (β = -0.18, p < 0.001). Among Hispanic adolescents in the VDD group, HOMA-IR worsened, particularly at higher levels of liver fat. In non-Hispanic adolescents, HOMA-IR increased in the VDD group (β = 0.65, p = 0.033) compared to the VDI group, independent of baseline liver fat. Across the cohort, changes in vitamin D status interacted with liver fat to influence TG/HDL trajectories (β = 0.20, p = 0.034). Conclusions The metabolic response to changes in vitamin D status in adolescents with IR may vary based on racial and ethnic differences and liver fat status. These findings underscore the importance of considering liver fat and racial/ethnic background in vitamin D and metabolic health studies. Future research with more extensive and diverse cohorts spanning the fatty liver disease spectrum is needed to clarify these relationships.
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Affiliation(s)
- Emir Tas
- UPMC Children's Hospital of Pittsburgh, 4401 Penn Avenue, Pittsburgh, PA, 15224, USA
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, 13 Children's Way, Little Rock, AR, 72202, USA
| | - Amanda Flint
- UPMC Children's Hospital of Pittsburgh, 4401 Penn Avenue, Pittsburgh, PA, 15224, USA
| | - Ingrid Libman
- UPMC Children's Hospital of Pittsburgh, 4401 Penn Avenue, Pittsburgh, PA, 15224, USA
| | - Radhika Muzumdar
- UPMC Children's Hospital of Pittsburgh, 4401 Penn Avenue, Pittsburgh, PA, 15224, USA
| | - Xiawei Ou
- Arkansas Children's Research Institute, 13 Children's Way, Little Rock, AR, 72202, USA
- Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR, 72202, USA
- Department of Radiology and Pediatrics, University of Arkansas for Medical Sciences, 4301 West Markham Street, Little Rock, AR, 72205, USA
| | - David K. Williams
- Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR, 72202, USA
- Department of Biostatistics, University of Arkansas Medical Sciences, 4301 West Markham Street, Little Rock, AR, 72205, USA
| | - Elisabet Børsheim
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, 13 Children's Way, Little Rock, AR, 72202, USA
- Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR, 72202, USA
- Department of Pediatrics, University of Arkansas Medical Sciences, 4301 West Markham Street, Little Rock, AR, 72205, USA
| | - Eva C. Diaz
- Center for Childhood Obesity Prevention, Arkansas Children's Research Institute, 13 Children's Way, Little Rock, AR, 72202, USA
- Arkansas Children's Nutrition Center, 15 Children's Way, Little Rock, AR, 72202, USA
- Department of Pediatrics, University of Arkansas Medical Sciences, 4301 West Markham Street, Little Rock, AR, 72205, USA
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Yi X, Han L, Li L, Zhu H, Li M, Gao S. Adipokine/hepatokines profiling of fatty liver in adolescents and young adults: cross-sectional and prospective analyses of the BCAMS study. Hepatol Int 2025; 19:143-155. [PMID: 39400684 DOI: 10.1007/s12072-024-10736-9] [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: 07/06/2024] [Accepted: 09/28/2024] [Indexed: 10/15/2024]
Abstract
OBJECTIVE The underlying connections between obesity and non-alcoholic fatty liver disease (NAFLD) are not fully understood. One potential link might be the imbalanced adipokines and hepatokines. We aimed to explore the associations between specific adipokines/hepatokines and NAFLD in Chinese youth and to determine how these biomarkers mediate the obesity-NAFLD relationship. METHODS We analyzed data from the 10-year follow-up visit of the Beijing Children and Adolescents Metabolic Syndrome (BCAMS) study (n = 509; mean age = 20.2 years) for a comprehensive metabolic risk assessment, including liver ultrasound and plasma measurements of adiponectin, leptin, fibroblast growth factor 21 (FGF21), retinol-binding protein 4 (RBP4), and angiopoietin-like protein 8 (ANGPTL8). Longitudinal analysis was performed on a subgroup (n = 307), with complete baseline (mean age = 12.2 years) and follow-up data. Mediation models assessed how obesity at baseline and follow-up influence NAFLD through these biomarkers. RESULTS Participants with NAFLD exhibited a high prevalence of central obesity (90.9%). Both cross-sectional and prospective analyses identified increased RBP4, FGF21, leptin, and decreased adiponectin levels as significant predictors of NAFLD. More adipokine/hepatokine abnormalities were linked to higher NAFLD risk. Furthermore, ratios reflecting adipokine/hepatokine imbalances, including leptin/adiponectin, FGF21/adiponectin, and RBP4/adiponectin, demonstrated stepwise changes correlating with NAFLD severity (all p < 0.05). Mediation analysis indicated that these four adipokines/hepatokines accounted for approximately 72.4% of the central obesity-NAFLD relationship and 80.1% in the subgroup analysis using baseline childhood data. CONCLUSIONS Dysregulated adipokines/hepatokines may explain the onset or progression of obesity-related NAFLD in youths. Higher RBP4, FGF21 and leptin, alongside lower adiponectin, could serve as early biomarkers for NAFLD.
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Affiliation(s)
- Xinghao Yi
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China
| | - Lanwen Han
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100043, People's Republic of China
| | - Lianxia Li
- Department of Endocrinology, Beijing Chaoyang Hospital, Capital Medical University, Beijing, 100043, People's Republic of China
| | - Haoxue Zhu
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China
| | - Ming Li
- Department of Endocrinology, NHC Key Laboratory of Endocrinology, Peking Union Medical College Hospital, Peking Union Medical College and Chinese Academy of Medical Sciences, Beijing, 100730, People's Republic of China.
| | - Shan Gao
- Department of Endocrinology, Xuanwu Hospital, Capital Medical University, Beijing, 100053, People's Republic of China.
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Tas E, Landes RD, Diaz EC, Bai S, Ou X, Buchmann R, Na X, Muzumdar R, Børsheim E, Dranoff JA. Effects of short-term supervised exercise training on liver fat in adolescents with obesity: a randomized controlled trial. Obesity (Silver Spring) 2023; 31:2740-2749. [PMID: 37731271 PMCID: PMC11519784 DOI: 10.1002/oby.23887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/22/2023] [Revised: 07/21/2023] [Accepted: 07/24/2023] [Indexed: 09/22/2023]
Abstract
OBJECTIVE The objective of this study was to quantify the effects of a 4-week, supervised, high-intensity interval training (HIIT) on intrahepatic triglyceride content (IHTG, percentage), cardiorespiratory fitness (CRF), and cardiometabolic markers in adolescents with obesity. METHODS A total of 40 adolescents (age 13-18 y, BMI 36.7 ± 5.8 kg/m2 ) at risk for metabolic dysfunction-associated steatotic liver disease (MASLD) based on obesity and elevated Fibroscan measured controlled attenuation parameter (CAP) scores were randomized to HIIT three times a week for 4 weeks (n = 34) or observation (control; n = 6). Liver magnetic resonance imaging proton-density fat-fraction (MRI-PDFF), CAP, oral glucose tolerance test, serum alanine aminotransferase, dual-energy x-ray absorptiometry, and CRF tests were performed before and after intervention. Within- and between-group differences were compared. RESULTS A total of 13 (38%) and 4 (66%) children had MASLD by MRI-PDFF (IHTG ≥ 5%) in the HIIT and control groups, respectively. The implemented HIIT protocol had no impact on CRF or IHTG (baseline 5.26%, Δ = -0.31 percentage points, 95% CI: -0.77 to 0.15; p = 0.179), but it decreased the 2-h glucose concentration (baseline 116 mg/dL, Δ = -11 mg/dL; 95% CI: -17.6 to -5.5; p < 0.001). When limiting the analysis to participants with MASLD (n = 17), HIIT decreased IHTG (baseline 8.81%, Δ = -1.05 percentage points, 95% CI: -2.08 to -0.01; p = 0.048). Between-group comparisons were not different. CONCLUSIONS The implemented exercise protocol did not reduce IHTG, but it led to modest improvement in markers of cardiometabolic health.
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Affiliation(s)
- Emir Tas
- Department of Pediatrics, University of Pittsburgh College of Medicine, Pittsburgh, Pennsylvania, USA
- Division of Endocrinology and Diabetes, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
- Center for Childhood Obesity Prevention, Arkansas Children’s Research Institute, Little Rock, Arkansas, USA
| | - Reid D. Landes
- Center for Childhood Obesity Prevention, Arkansas Children’s Research Institute, Little Rock, Arkansas, USA
- Department of Biostatistics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Eva C. Diaz
- Center for Childhood Obesity Prevention, Arkansas Children’s Research Institute, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children’s Nutrition Center, Little Rock, Arkansas, USA
| | - Shasha Bai
- Center for Childhood Obesity Prevention, Arkansas Children’s Research Institute, Little Rock, Arkansas, USA
- Department of Pediatrics, Emory University School of Medicine, Atlanta, Georgia, USA
| | - Xiawei Ou
- Center for Childhood Obesity Prevention, Arkansas Children’s Research Institute, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children’s Nutrition Center, Little Rock, Arkansas, USA
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Robert Buchmann
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Xiaoxu Na
- Arkansas Children’s Nutrition Center, Little Rock, Arkansas, USA
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
| | - Radhika Muzumdar
- Department of Pediatrics, University of Pittsburgh College of Medicine, Pittsburgh, Pennsylvania, USA
- Division of Endocrinology and Diabetes, UPMC Children’s Hospital of Pittsburgh, Pittsburgh, Pennsylvania, USA
| | - Elisabet Børsheim
- Center for Childhood Obesity Prevention, Arkansas Children’s Research Institute, Little Rock, Arkansas, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, Arkansas, USA
- Arkansas Children’s Nutrition Center, Little Rock, Arkansas, USA
| | - Jonathan A. Dranoff
- Center for Childhood Obesity Prevention, Arkansas Children’s Research Institute, Little Rock, Arkansas, USA
- VA Connecticut Health Center, West Haven, Connecticut, USA
- Section of Digestive Diseases, Yale School of Medicine, New Haven, Connecticut, USA
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Vajravelu ME, Tas E, Arslanian S. Pediatric Obesity: Complications and Current Day Management. Life (Basel) 2023; 13:1591. [PMID: 37511966 PMCID: PMC10381624 DOI: 10.3390/life13071591] [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: 06/13/2023] [Revised: 07/12/2023] [Accepted: 07/17/2023] [Indexed: 07/30/2023] Open
Abstract
Obesity affects approximately 1 in 5 youth globally and increases the risk of complications during adolescence and young adulthood, including type 2 diabetes, dyslipidemia, hypertension, non-alcoholic fatty liver disease, obstructive sleep apnea, and polycystic ovary syndrome. Children and adolescents with obesity frequently experience weight stigma and have an impaired quality of life, which may exacerbate weight gain. Pediatric obesity is typically defined using sex-, age-, and population-specific body mass index percentiles. Once identified, pediatric obesity should always be managed with lifestyle modification. However, adolescents with obesity may also benefit from anti-obesity medications (AOM), several of which have been approved for use in adolescents by the US Food and Drug Administration, including liraglutide, phentermine/topiramate, and semaglutide. For children with specific, rare monogenic obesity disorders, setmelanotide is available and may lead to significant weight loss. Metabolic and bariatric surgery may be used for the management of severe obesity in youth; though highly effective, it is limited to specialized centers and has had relatively low pediatric uptake. In this narrative review using pediatric-focused data from original research, reviews, clinical practice guidelines, governmental agencies, and pharmaceutical companies, we review obesity-related metabolic complications in youth and management strategies, including AOM and bariatric surgery.
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Affiliation(s)
- Mary Ellen Vajravelu
- Center for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave., Faculty Pavilion 6th Floor, Pittsburgh, PA 15224, USA
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Emir Tas
- Center for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave., Faculty Pavilion 6th Floor, Pittsburgh, PA 15224, USA
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
| | - Silva Arslanian
- Center for Pediatric Research in Obesity and Metabolism, UPMC Children's Hospital of Pittsburgh, 4401 Penn Ave., Faculty Pavilion 6th Floor, Pittsburgh, PA 15224, USA
- Division of Pediatric Endocrinology, Diabetes, and Metabolism, University of Pittsburgh School of Medicine, Pittsburgh, PA 15213, USA
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Stine JG, Welles JE, Keating S, Hussaini Z, Soriano C, Heinle JW, Geyer N, Chinchilli VM, Loomba R, Kimball SR. Serum Fibroblast Growth Factor 21 Is Markedly Decreased following Exercise Training in Patients with Biopsy-Proven Nonalcoholic Steatohepatitis. Nutrients 2023; 15:1481. [PMID: 36986211 PMCID: PMC10056327 DOI: 10.3390/nu15061481] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2023] [Revised: 03/11/2023] [Accepted: 03/17/2023] [Indexed: 03/30/2023] Open
Abstract
BACKGROUND AND AIMS Exercise remains a key component of nonalcoholic fatty liver disease (NAFLD) treatment. However, mechanisms underpinning the improvements in NAFLD seen with exercise are unclear. Exercise improved liver fat and serum biomarkers of liver fibrosis in the NASHFit trial. We investigated exercise's mechanism of benefit by conducting a post hoc analysis of these data to determine the relationship between serum fibroblast growth factor (FGF) 21, which is implicated in NAFLD development, and exercise. METHODS In the 20 wk NASHFit trial, patients with nonalcoholic steatohepatitis (NASH) were randomized to receive moderate-intensity aerobic exercise training or standard clinical care. Mediterranean-informed dietary counseling was provided to each group. Change in serum FGF21 was measured after an overnight fast. RESULTS There was a significant improvement in serum FGF21 with exercise training compared to standard clinical care (p = 0.037) with serum FGF21 reducing by 22% (-243.4 +/-349 ng/mL) with exercise vs. a 34% increase (+88.4 ng/mL +/-350.3 ng/mL) with standard clinical care. There was a large inverse association between change in serum FGF21 and change in cardiorespiratory fitness (VO2peak) (r = -0.62, 95% CI -0.88 to -0.05, p = 0.031), and on multivariable analysis, change in VO2peak remained independently associated with change in FGF21 (β = -44.5, 95% CI -83.8 to -5.11, p = 0.031). CONCLUSIONS Serum FGF21 is markedly decreased in response to aerobic exercise training, offering a novel mechanism to explain the observed reduction in liver fat and improvement in serum biomarkers of liver fibrosis in patients with NASH who do exercise.
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Affiliation(s)
- Jonathan G. Stine
- Division of Gastroenterology and Hepatology, Department of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA 17033, USA
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA
- Liver Center, Penn State Health Milton S. Hershey Medical Center, Hershey, PA 17033, USA
- Cancer Institute, Penn State Health Milton S. Hershey Medical Center, Hershey, PA 17033, USA
| | - Jaclyn E. Welles
- Department of Cellular and Molecular Physiology, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA
| | - Shelley Keating
- School of Human Movement and Nutrition Sciences, The University of Queensland, St Lucia, QLD 4072, Australia
| | - Zeba Hussaini
- Division of Gastroenterology and Hepatology, Department of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA 17033, USA
| | - Christopher Soriano
- Division of Gastroenterology and Hepatology, Department of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA 17033, USA
| | - J. Wes Heinle
- Division of Gastroenterology and Hepatology, Department of Medicine, Penn State Health Milton S. Hershey Medical Center, Hershey, PA 17033, USA
| | - Nathaniel Geyer
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA
| | - Vernon M. Chinchilli
- Department of Public Health Sciences, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA
| | - Rohit Loomba
- Division of Gastroenterology and Hepatology, Department of Medicine, University of California San Diego, San Diego, CA 92093, USA
- NAFLD Research Center, University of California San Diego, San Diego, CA 92093, USA
| | - Scot R. Kimball
- Department of Cellular and Molecular Physiology, College of Medicine, The Pennsylvania State University, Hershey, PA 17033, USA
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Tan H, Yue T, Chen Z, Wu W, Xu S, Weng J. Targeting FGF21 in cardiovascular and metabolic diseases: from mechanism to medicine. Int J Biol Sci 2023; 19:66-88. [PMID: 36594101 PMCID: PMC9760446 DOI: 10.7150/ijbs.73936] [Citation(s) in RCA: 34] [Impact Index Per Article: 17.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Accepted: 09/18/2022] [Indexed: 11/24/2022] Open
Abstract
Cardiovascular and metabolic disease (CVMD) is becoming increasingly prevalent in developed and developing countries with high morbidity and mortality. In recent years, fibroblast growth factor 21 (FGF21) has attracted intensive research interest due to its purported role as a potential biomarker and critical player in CVMDs, including atherosclerosis, coronary artery disease, myocardial infarction, hypoxia/reoxygenation injury, heart failure, type 2 diabetes, obesity, and nonalcoholic steatohepatitis. This review summarizes the recent developments in investigating the role of FGF21 in CVMDs and explores the mechanism whereby FGF21 regulates the development of CVMDs. Novel molecular targets and related pathways of FGF21 (adenosine 5'-monophosphate-activated protein kinase, silent information regulator 1, autophagy-related molecules, and gut microbiota-related molecules) are highlighted in this review. Considering the poor pharmacokinetics and biophysical properties of native FGF21, the development of new generations of FGF21-based drugs has tremendous therapeutic potential. Related preclinical and clinical studies are also summarized in this review to foster clinical translation. Thus, our review provides a timely and insightful overview of the physiology, biomarker potential, molecular targets, and therapeutic potential of FGF21 in CVMDs.
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Affiliation(s)
- Huiling Tan
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Tong Yue
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, 230001, China
| | - Zhengfang Chen
- Changshu Hospital Affiliated to Soochow University, Changshu No.1 People's Hospital, Changshu 215500, Jiangsu Province, China
| | - Weiming Wu
- Changshu Hospital Affiliated to Nanjing University of Chinese Medicine, Changshu, China
| | - Suowen Xu
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, 230001, China.,✉ Corresponding authors: E-mail: ;
| | - Jianping Weng
- Department of Endocrinology, Institute of Endocrine and Metabolic Diseases, The First Affiliated Hospital of USTC, Division of Life Sciences and Medicine, Clinical Research Hospital of Chinese Academy of Sciences (Hefei), University of Science and Technology of China, Hefei, Anhui, 230001, China.,✉ Corresponding authors: E-mail: ;
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Tas E, Bai S, Mak D, Diaz EC, Dranoff JA. Obesity, but not glycemic control, predicts liver steatosis in children with type 1 diabetes. J Diabetes Complications 2022; 36:108341. [PMID: 36345110 DOI: 10.1016/j.jdiacomp.2022.108341] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/28/2022] [Revised: 09/30/2022] [Accepted: 10/23/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVE Nonalcoholic fatty liver disease (NAFLD), the most common liver disease in children, is strongly associated with obesity and insulin resistance. Although type 1 diabetes (T1D) is characterized by insulin deficiency, increasing obesity rates among children with T1D is a major risk factor for NAFLD in this patient population. Predisposing factors for NAFLD in children with T1D are not known. STUDY DESIGN This is a cross-sectional study comparing children with T1D across the range of body mass index (BMI) to the BMI-matched obese group without T1D. Hepatic steatosis was semi-quantitatively measured via the vibration-controlled transient elastogram (VCTE) method. Linear regression analysis was performed to assess the relationship between controlled-attenuated parameter (CAP) scores and clinical parameters. Receiver-operator curve (ROC) analysis was used to evaluate the diagnostic performance of several clinical parameters against NAFLD status determined via CAP. RESULTS Two-thirds of subjects with obesity had CAP scores suggestive of NAFLD, while 16 % (n = 6) of T1D patients without obesity had elevated CAP. Obese subjects were different from non-obese subjects in many laboratory and clinical characteristics, regardless of T1D status. CAP score was significantly associated with BMI, HDL-Cholesterol (HDL-c), and HbA1c in all subjects as well as the T1D-only subgroup. Among subjects with obesity only, age, HDL-cand ALT were the most significant predictors. Diagnostic performance of BMI, HDL-c, and BMI/HDL ratio were in the good to the excellent range for predicting NAFLD among all subjects, while performance varied for T1D-only or obesity-only groups. CONCLUSION The clinical and imaging findings of children with T1D and obesity are comparable to non-diabetic children with a similar degree of obesity. Obesity is the major risk factor for NAFLD in pediatric T1D. BMI, HDL-c, and BMI/HDL ratio may be helpful markers to determine further workup for NAFLD in children with T1D, particularly those with obesity.
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Affiliation(s)
- Emir Tas
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Endocrinology and Diabetes, Arkansas Children's Hospital, Little Rock, AR, USA; Arkansas Children's Nutrition Center, Little Rock, AR, USA; Arkansas Children's Research Institute, Little Rock, AR, USA.
| | - Shasha Bai
- Department of Pediatrics, Emory University School of Medicine, Atlanta, GA, USA
| | - Daniel Mak
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Endocrinology and Diabetes, Arkansas Children's Hospital, Little Rock, AR, USA
| | - Eva C Diaz
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA; Arkansas Children's Nutrition Center, Little Rock, AR, USA; Arkansas Children's Research Institute, Little Rock, AR, USA
| | - Jonathan A Dranoff
- Arkansas Children's Research Institute, Little Rock, AR, USA; VA Connecticut Health Center, West Haven, CT, USA; Secton of Digestive Diseases, Yale School of Medicine, New Haven, CT, USA
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Leung H, Long X, Ni Y, Qian L, Nychas E, Siliceo SL, Pohl D, Hanhineva K, Liu Y, Xu A, Nielsen HB, Belda E, Clément K, Loomba R, Li H, Jia W, Panagiotou G. Risk assessment with gut microbiome and metabolite markers in NAFLD development. Sci Transl Med 2022; 14:eabk0855. [PMID: 35675435 PMCID: PMC9746350 DOI: 10.1126/scitranslmed.abk0855] [Citation(s) in RCA: 61] [Impact Index Per Article: 20.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
A growing body of evidence suggests interplay between the gut microbiota and the pathogenesis of nonalcoholic fatty liver disease (NAFLD). However, the role of the gut microbiome in early detection of NAFLD is unclear. Prospective studies are necessary for identifying reliable, microbiome markers for early NAFLD. We evaluated 2487 individuals in a community-based cohort who were followed up 4.6 years after initial clinical examination and biospecimen sampling. Metagenomic and metabolomic characterizations using stool and serum samples taken at baseline were performed for 90 participants who progressed to NAFLD and 90 controls who remained NAFLD free at the follow-up visit. Cases and controls were matched for gender, age, body mass index (BMI) at baseline and follow-up, and 4-year BMI change. Machine learning models integrating baseline microbial signatures (14 features) correctly classified participants (auROCs of 0.72 to 0.80) based on their NAFLD status and liver fat accumulation at the 4-year follow up, outperforming other prognostic clinical models (auROCs of 0.58 to 0.60). We confirmed the biological relevance of the microbiome features by testing their diagnostic ability in four external NAFLD case-control cohorts examined by biopsy or magnetic resonance spectroscopy, from Asia, Europe, and the United States. Our findings raise the possibility of using gut microbiota for early clinical warning of NAFLD development.
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Affiliation(s)
- Howell Leung
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Xiaoxue Long
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China
| | - Yueqiong Ni
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.,Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
| | - Lingling Qian
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China
| | - Emmanouil Nychas
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Sara Leal Siliceo
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany
| | - Dennis Pohl
- Clinical Microbiomics, Fruebjergvej 3, 2100 Copenhagen, Denmark.,Novo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Kemitorvet, Building 220, 2800 Kgs. Lyngby, Denmark
| | - Kati Hanhineva
- Department of Life Technologies, Food Chemistry and Food Development Unit, University of Turku, 20014 Turku, Finland.,Department of Biology and Biological Engineering, Division of Food and Nutrition Science, Chalmers University of Technology, 412 96 Gothenburg, Sweden.,School of Medicine, Institute of Public Health and Clinical Nutrition, University of Eastern Finland, 70211 Kuopio, Finland
| | - Yan Liu
- The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, The University of Hong Kong, Hong Kong SAR, China
| | - Aimin Xu
- The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, The University of Hong Kong, Hong Kong SAR, China.,Department of Pharmacology and Pharmacy, The University of Hong Kong, Hong Kong SAR, China
| | | | - Eugeni Belda
- Sorbonne Université, INSERM, NutriOmics Research Unit, Nutrition Department, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, 75013 Paris, France
| | - Karine Clément
- Sorbonne Université, INSERM, NutriOmics Research Unit, Nutrition Department, Pitié-Salpêtrière Hospital, Assistance Publique-Hôpitaux de Paris, 75013 Paris, France
| | - Rohit Loomba
- NAFLD Research Center, Department of Medicine, University of California, San Diego, La Jolla, CA 92093, USA
| | - Huating Li
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
| | - Weiping Jia
- Department of Endocrinology and Metabolism, Shanghai Jiao Tong University Affiliated Sixth People’s Hospital, Shanghai Diabetes Institute, Shanghai Clinical Center for Diabetes, Shanghai Key Laboratory of Diabetes Mellitus, 200233 Shanghai, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
| | - Gianni Panagiotou
- Systems Biology and Bioinformatics Unit, Leibniz Institute for Natural Product Research and Infection Biology–Hans Knöll Institute, Beutenbergstraße 11A, 07745 Jena, Germany.,The State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong SAR, China.,Department of Medicine, The University of Hong Kong, Hong Kong SAR, China.,Corresponding author. (Y.N.); (H.L.); (W.J.); (G.P.)
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9
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Research Progress of Fibroblast Growth Factor 21 in Fibrotic Diseases. OXIDATIVE MEDICINE AND CELLULAR LONGEVITY 2022; 2022:5042762. [PMID: 35677107 PMCID: PMC9168133 DOI: 10.1155/2022/5042762] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 12/17/2021] [Revised: 05/04/2022] [Accepted: 05/10/2022] [Indexed: 11/24/2022]
Abstract
Fibrosis is a common pathological outcome of chronic injuries, characterized by excessive deposition of extracellular matrix components in organs, as seen in most chronic inflammatory diseases. At present, there is an increasing tendency of the morbidity and mortality of diseases caused by fibrosis, but the treatment measures for fibrosis are still limited. Fibroblast growth factor 21 (FGF21) belongs to the FGF19 subfamily, which also has the name endocrine FGFs because of their endocrine manner. In recent years, it has been found that plasma FGF21 level is significantly correlated with fibrosis progression. Furthermore, there is evidence that FGF21 has a pronounced antifibrotic effect in a variety of fibrotic diseases. This review summarizes the biological effects of FGF21 and discusses what is currently known about this factor and fibrosis disease, highlighting emerging insights that warrant further research.
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10
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Lin H, Mercer KE, Ou X, Mansfield K, Buchmann R, Børsheim E, Tas E. Circulating microRNAs Are Associated With Metabolic Markers in Adolescents With Hepatosteatosis. Front Endocrinol (Lausanne) 2022; 13:856973. [PMID: 35498403 PMCID: PMC9047938 DOI: 10.3389/fendo.2022.856973] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/01/2022] [Accepted: 03/14/2022] [Indexed: 12/21/2022] Open
Abstract
BACKGROUND Altered hepatic microRNA (miRNA) expression may play a role in the development of insulin resistance (IR) and non-alcoholic fatty liver disease (NAFLD). Circulating miRNAs could mirror the liver metabolism. OBJECTIVE This study aimed to assess the relationship between serum miRNA profile in children with obesity, IR, and NAFLD. METHODS Adolescents with obesity (n = 31) were stratified based on insulin resistance and NAFLD status. One-hundred seventy-nine miRNAs were determined in the serum by quantitative RT-PCR. Differentially expressed miRNAs were compared between groups, and log-transformed levels correlated with metabolic markers and intrahepatic triglyceride. RESULTS Serum miR-21-5p, -22-3p, -150-5p, and -155-5p levels were higher in children with IR and NAFLD, and their expression levels correlated with hepatic fat and serum triglyceride. In patients with NAFLD, miR-155-5p correlated with ALT (r = 0.68, p<0.01) and AST (r = 0.64, p<0.01) and miR-21-5p and -22-3p levels correlated with plasma adiponectin (r = -0.71 and r = -0.75, respectively, p<0.05) and fibroblast growth factor-21 (r = -0.73 and r = -0.89, respectively, p<0.01). miR-27-3a level was higher in children without IR and NAFLD. CONCLUSIONS Several miRNAs are differentially expressed in children with IR and NAFLD. Determining their mechanistic roles may provide newer diagnostic tools and therapeutic targets for pediatric NAFLD.
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Affiliation(s)
- Haixia Lin
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Kelly E. Mercer
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Center for Childhood Obesity and Prevention, Arkansas Children’s Research Institute, Little Rock, AR, United States
| | - Xiawei Ou
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Center for Childhood Obesity and Prevention, Arkansas Children’s Research Institute, Little Rock, AR, United States
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Kori Mansfield
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Robert Buchmann
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Department of Radiology, University of Arkansas for Medical Sciences, Little Rock, AR, United States
| | - Elisabet Børsheim
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Center for Childhood Obesity and Prevention, Arkansas Children’s Research Institute, Little Rock, AR, United States
| | - Emir Tas
- Arkansas Children’s Nutrition Center, Little Rock, AR, United States
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, United States
- Center for Childhood Obesity and Prevention, Arkansas Children’s Research Institute, Little Rock, AR, United States
- Endocrinology and Diabetes, Arkansas Children’s Hospital, Little Rock, AR, United States
- *Correspondence: Emir Tas,
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11
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Abstract
Fibroblast growth factors (FGFs) are cell-signaling proteins with diverse functions in cell development, repair, and metabolism. The human FGF family consists of 22 structurally related members, which can be classified into three separate groups based on their action of mechanisms, namely: intracrine, paracrine/autocrine, and endocrine FGF subfamilies. FGF19, FGF21, and FGF23 belong to the hormone-like/endocrine FGF subfamily. These endocrine FGFs are mainly associated with the regulation of cell metabolic activities such as homeostasis of lipids, glucose, energy, bile acids, and minerals (phosphate/active vitamin D). Endocrine FGFs function through a unique protein family called klotho. Two members of this family, α-klotho, or β-klotho, act as main cofactors which can scaffold to tether FGF19/21/23 to their receptor(s) (FGFRs) to form an active complex. There are ongoing studies pertaining to the structure and mechanism of these individual ternary complexes. These studies aim to provide potential insights into the physiological and pathophysiological roles and therapeutic strategies for metabolic diseases. Herein, we provide a comprehensive review of the history, structure–function relationship(s), downstream signaling, physiological roles, and future perspectives on endocrine FGFs.
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12
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Lin H, Tas E, Børsheim E, Mercer KE. Circulating miRNA Signatures Associated with Insulin Resistance in Adolescents with Obesity. Diabetes Metab Syndr Obes 2020; 13:4929-4939. [PMID: 33328751 PMCID: PMC7735788 DOI: 10.2147/dmso.s273908] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2020] [Accepted: 10/08/2020] [Indexed: 12/16/2022] Open
Abstract
PURPOSE MicroRNAs (miRNAs) are implicated in metabolic changes accompanying progression of obesity, insulin resistance (IR), and metabolic disorders in children. Identifying circulating miRNAs that uniquely associate with these disorders may be useful in early identification and prevention of obesity-related complications. We aimed to identify circulating miRNA signatures that distinguish adolescents with obesity and IR from those with obesity unaccompanied by IR. METHODS Adolescents (aged 10-17 years) with obesity were recruited from a weight management clinic. Fasting serum samples were obtained from 33 participants. A total of 179 miRNAs were queried by a quantitative RT-PCR-based miRNA focus panel. Differentially expressed miRNAs were compared between groups using Student's t-test or one-way ANOVA analysis, and the association between IR evaluated by homeostatic model assessment model (HOMA-IR > 4) and body mass index (BMI) status was assessed using Pearson's correlation analysis. RESULTS We found an expression pattern consisting of 12 elevated miRNAs linked to IR in obese adolescents. miR-30d, -221, and -122 were significantly correlated with clinical and biochemical markers of obesity and IR, suggestive of IR in adolescents at risk. CONCLUSION Specific signatures of circulating miRNAs reflected metabolic phenotypes and predicted the presence of IR in adolescents with obesity, suggesting that miRNA indicators may identify obesity-associated complications in childhood. Further studies will be needed to understand cause versus effect and the mechanisms by which IR status links to changes in blood miRNA profiles.
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Affiliation(s)
- Haixia Lin
- Arkansas Children’s Nutrition Center, Little Rock, AR, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
| | - Emir Tas
- Arkansas Children’s Nutrition Center, Little Rock, AR, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Endocrinology and Diabetes, Arkansas Children’s Hospital, Little Rock, AR, USA
- Center for Childhood Obesity Prevention, Little Rock, AR, USA
- Arkansas Children’s Research Institute, Little Rock, AR, USA
| | - Elisabet Børsheim
- Arkansas Children’s Nutrition Center, Little Rock, AR, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Center for Childhood Obesity Prevention, Little Rock, AR, USA
- Arkansas Children’s Research Institute, Little Rock, AR, USA
| | - Kelly E Mercer
- Arkansas Children’s Nutrition Center, Little Rock, AR, USA
- Department of Pediatrics, University of Arkansas for Medical Sciences, Little Rock, AR, USA
- Center for Childhood Obesity Prevention, Little Rock, AR, USA
- Correspondence: Kelly E Mercer; Haixia Lin Arkansas Children’s Nutrition Center, 15 Children’s Way, Little Rock, AR72202, USATel +1-501-364-2706Fax +1-501-364-3161 Email ;
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