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Saeed W, Al-Habori M, Saif-Ali R. The predictive value of combined insulin resistance and β-cell secretion in Yemeni school-aged children for type 2 diabetes mellitus. Sci Rep 2025; 15:563. [PMID: 39747350 PMCID: PMC11697439 DOI: 10.1038/s41598-024-84349-5] [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: 10/06/2024] [Accepted: 12/23/2024] [Indexed: 01/04/2025] Open
Abstract
The present study aimed to determine the predictive power of the diabetic markers and metabolic syndrome factors in School-aged children for developing Type 2 DM. In this cross-sectional study, 1288 students aged 12-13 were recruited from public schools in the capital city of Sana'a. Anthropometric measurements and blood pressure were recorded and body mass index (BMI) was calculated. Fasting venous blood (5 ml) was collected for biochemical analysis including FBG, HbA1c, insulin, and lipid profile. Insulin resistance (HOMA-IR) and β-cell function (HOMA-β) were calculated. Our results showed that neither insulin, HOMA-IR nor HOMA-β individually were good predictors for Type 2 DM as assessed by the ROC curve with AUC < 0.75. However, the ROC curve of combined HOMA-IR and HOMA-β (Model 1) gave a superior AUC of 0.998 (p = 2.7 × 10-9) and predicted 140 (10.9%) children to develop Type 2 DM. This model picked up all impaired fasting glucose (IFG), 74% of metabolic glucose, and 71% of metabolic syndrome (MetS) groups. On the other hand, the ROC curve for metabolic syndrome (Model 2) gave an AUC of 0.751 (p = 0.003) and predicted a higher number of 416 (32.3%) children to develop prediabetes and Type 2 DM. This model picked up 75% of IFG, 71% of MetS, 82% of those having two factors of MetS, and 72% of obesity groups. Moreover, the 53 children common between the two models include 75% of IFG and 43% of MetS groups. Therefore, the combined HOMA-IR and HOMA-β model in children proved to be a good predictor for Type 2 DM development, whereas the MetS model predicts the development of prediabetes and Type 2 DM.
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Affiliation(s)
- Walid Saeed
- Department of Biochemistry and Molecular Biology, Faculty of Medicine and Health Sciences, University of Sana'a, Sanaa, Republic of Yemen
| | - Molham Al-Habori
- Department of Biochemistry and Molecular Biology, Faculty of Medicine and Health Sciences, University of Sana'a, Sanaa, Republic of Yemen.
| | - Riyadh Saif-Ali
- Department of Biochemistry and Molecular Biology, Faculty of Medicine and Health Sciences, University of Sana'a, Sanaa, Republic of Yemen
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Ridberg RA, Maitin-Shepard M, Garfield K, Seligman HK, Schwartz PM, Terranova J, Yaroch AL, Mozaffarian D. Food is Medicine National Summit: Transforming Health Care. Am J Clin Nutr 2024; 120:1441-1456. [PMID: 39362364 DOI: 10.1016/j.ajcnut.2024.09.027] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/26/2024] [Revised: 09/06/2024] [Accepted: 09/23/2024] [Indexed: 10/05/2024] Open
Abstract
Food is Medicine (FIM) interventions reflect the critical links between food security, nutrition security, health, and health equity, integrated into health care delivery. They comprise programs that provide nutritionally tailored food, free of charge or at a discount, to support disease management, disease prevention, or optimal health, linked to the health care system as part of a patient's treatment plan. Such programs often prioritize health equity. On 26-27 April, 2023, Tufts University's Gerald J. and Dorothy R. Friedman School of Nutrition Science and Policy and Food & Nutrition Innovation Institute held a 2-day National Food is Medicine Summit with leaders, practitioners, and individuals with diverse lived experiences in health care, research, government, advocacy, philanthropy, and the private sector to identify challenges and opportunities to sustainably incorporate FIM services into the health care system and at scale. This report of a meeting describes key themes of the Summit, based on presentations and discussions on momentum around FIM, incorporating FIM in health care, tradeoffs and unintended consequences of various FIM models, scaling of programs, financing and payment mechanisms, educating and engaging the health care workforce, and federal and state government actions and opportunities on FIM. Speakers highlighted examples of recent public and private sector actions on FIM and innovative cross-sector partnerships, including state Medicaid waivers, academic and philanthropic research initiatives, health care system screenings and interventions, and collaborations including community-based organizations and/or entities outside of the food and health care sectors. Challenges and opportunities to broader implementation and scaling of FIM programs identified include incorporating FIM into health care business models, educating the health care workforce, and sustainably scaling FIM programs while leveraging the local connections of community-based organizations. This meeting report highlights recent advances, best practices, challenges, and opportunities discussed at the National Summit to inform future actions on FIM.
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Affiliation(s)
- Ronit A Ridberg
- Food is Medicine Institute, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States.
| | | | - Katie Garfield
- Center for Health Law and Policy Innovation, Harvard Law School, Cambridge, MA, United States
| | - Hilary K Seligman
- Department of Medicine, University of California-San Francisco, San Francisco, CA, United States
| | | | | | - Amy L Yaroch
- Center for Nutrition & Health Impact, Omaha, NE, United States
| | - Dariush Mozaffarian
- Food is Medicine Institute, Friedman School of Nutrition Science and Policy, Tufts University, Boston, MA, United States
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Alsafi WM, Al Eed A, Hassan AA, Al-Nafeesah A, Alfaifi J, Adam I. Prevalence of and factors associated with pre-diabetes among adolescents in Eastern Sudan: a community-based cross-sectional study. BMJ Open 2024; 14:e086197. [PMID: 39384233 PMCID: PMC11481266 DOI: 10.1136/bmjopen-2024-086197] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/07/2024] [Accepted: 09/25/2024] [Indexed: 10/11/2024] Open
Abstract
OBJECTIVES There is an increasing trend of pre-diabetes and diabetes mellitus (DM) among adolescents, and sub-Saharan Africa is no exception. However, few published data on pre-diabetes among adolescents in Sudan exist. We aimed to investigate the prevalence of and factors associated with pre-diabetes among adolescents in Eastern Sudan. DESIGN A community-based cross-sectional study was conducted from August to October 2023. SETTINGS This community-based study was conducted in Gadarif city, the capital of Gadarif state, Eastern Sudan. PARTICIPANTS Adolescents (within the ages of 10-19 years). MAIN OUTCOME MEASURES A questionnaire was used to collect socio-demographic information. Anthropometric and glycated haemoglobin (HbA1c) measurements were performed in accordance with standard procedures. Multivariate logistic regression analysis was performed. RESULTS Of the 387 enrolled adolescents, 207 (53.5%) were female and 180 (46.5%) were male. The median (IQR) age was 14.0 (12.0-16.0) years. 39.5% of the participants' fathers were employed. The median (IQR) HbA1c was 5.5% (5.2%-5.8%). One-third (32.6%) of the adolescents had pre-diabetes or DM. Of the participants, 67.4%, 30.0% and 2.6% had no DM, pre-diabetes or type 2 DM, respectively. In the univariate analysis, the father's employment (OR=1.60, 95% CI=1.03 to 2.50) was associated with increased odds of pre-diabetes; age, sex, parents' education, the mother's occupation, body mass index z-score, cigarette smoking and a family history of DM were not associated with pre-diabetes. In the multivariate analysis, the father's employment (adjusted OR=1.70, 95% CI=1.03 to 2.50) was associated with increased odds of pre-diabetes. CONCLUSION Pre-diabetes is a significant public health problem among adolescents in Eastern Sudan. The introduction of early screening programmes for pre-diabetes at the community level is recommended to halt the progression of pre-diabetes to DM and to deal with existing DM among adolescents.
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Affiliation(s)
| | - Ashwaq Al Eed
- Department of Pediatrics, Qassim University, Buraidah, Saudi Arabia
| | | | | | - Jaber Alfaifi
- Department of Child Health, University of Bisha, Bisha, Saudi Arabia
| | - Ishag Adam
- Department of Obstetrics and Gynecology, Qassim University, Buraidah, Saudi Arabia
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Zahra MA, Pessin J, Rastogi D. A clinician's guide to effects of obesity on childhood asthma and into adulthood. Expert Rev Respir Med 2024; 18:759-775. [PMID: 39257361 PMCID: PMC11473229 DOI: 10.1080/17476348.2024.2403500] [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: 05/29/2024] [Revised: 08/20/2024] [Accepted: 09/09/2024] [Indexed: 09/12/2024]
Abstract
INTRODUCTION Obesity, one of the most common chronic conditions affecting the human race globally, affects several organ systems, including the respiratory system, where it contributes to onset and high burden of asthma. Childhood onset of obesity-related asthma is associated with high persistent morbidity into adulthood. AREAS COVERED In this review, we discuss the disease burden in children and adults to highlight the overlap between symptoms and pulmonary function deficits associated with obesity-related asthma in both age ranges, and then discuss the potential role of three distinct mechanisms, that of mechanical fat load, immune perturbations, and of metabolic perturbations on the disease burden. We also discuss interventions, including medical interventions for weight loss such as diet modification, that of antibiotics and anti-inflammatory therapies, as well as that of surgical intervention on amelioration of burden of obesity-related asthma. EXPERT OPINION With increase in obesity-related asthma due to increasing burden of obesity, it is evident that it is a disease entity distinct from asthma among lean individuals. The time is ripe to investigate the underlying mechanisms, focusing on identifying novel therapeutic targets as well as consideration to repurpose medications effective for other obesity-mediated complications, such as insulin resistance, dyslipidemia and systemic inflammation.
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Affiliation(s)
- Mahmoud Abu Zahra
- Division of Respiratory and Sleep Medicine, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Jeffrey Pessin
- Department of Medicine, Albert Einstein College of Medicine, Bronx, NY, United States
| | - Deepa Rastogi
- Division of Respiratory and Sleep Medicine, Department of Pediatrics, Albert Einstein College of Medicine, Bronx, NY, United States
- Norman Fleischer Institute of Diabetes and Metabolism, Albert Einstein College of Medicine, Bronx, NY, United States
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Chiou A, Hermel M, Chai Z, Eiseman A, Jeschke S, Mehta S, Khan U, Hoodbhoy Z, Safdar N, Khoja A, Junaid V, Vaughan E, Merchant AT, Iqbal J, Almas A, Virani SS, Sheikh S. Going from Primary to Primordial Prevention: Is the Juice Worth the Squeeze? Curr Cardiol Rep 2024; 26:1135-1143. [PMID: 39073507 DOI: 10.1007/s11886-024-02109-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 07/22/2024] [Indexed: 07/30/2024]
Abstract
PURPOSE OF REVIEW While primary prevention strategies target individuals who are at high risk of cardiovascular disease, there is rising interest towards primordial prevention that focuses on preventing the development of risk factors upstream of disease detection. Therefore, we review the advantages of primordial prevention interventions on minimizing future cardiovascular events. RECENT FINDINGS Primordial prevention of atherosclerotic cardiovascular disease involves behavioral, genetic, and environmental strategies, starting from fetal/infant health and continuing throughout childhood and young adulthood. Early interventions focusing on modifiable risk factors such as physical inactivity, non-ideal body weight, smoking, and environmental pollutants are important towards preventing the initial occurrence of risk factors such as hypertension, dyslipidemia, and diabetes to ultimately reduce cardiovascular disease. Implementing primordial prevention strategies early on in life can minimize cardiovascular events and lead to healthy aging in the population. Future studies can further evaluate the effectiveness of various primordial prevention strategies.
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Affiliation(s)
- Andrew Chiou
- Department of Cardiology, Scripps Clinic, La Jolla, San Diego, CA, USA
| | - Melody Hermel
- Department of Cardiology, United Medical Doctors, La Jolla, San Diego, CA, USA
| | - Zohar Chai
- Department of Biological Sciences, University of California, San Diego, San Diego, CA, USA
| | - Ariana Eiseman
- Northeastern University Bouvé College of Health Science, Boston, MA, USA
| | - Sheila Jeschke
- Department of Cardiology, Scripps Clinic, La Jolla, San Diego, CA, USA
| | - Sandeep Mehta
- Department of Cardiology, Loyola University Medical Center, Chicago, IL, USA
| | - Unab Khan
- Department of Family Medicine, The Aga Khan University, Karachi, Pakistan
| | - Zahra Hoodbhoy
- Department of Pediatrics and Child Health, The Aga Khan University, Karachi, Pakistan
| | - Nilofer Safdar
- School of Public Health, Dow University of Health Sciences, Karachi, Pakistan
| | - Adeel Khoja
- Adelaide Medical School, The University of Adelaide, Adelaide, South Australia, Australia
- Department of Medicine, The Aga Khan University, Stadium Road, Karachi, Pakistan
| | | | | | - Anwar T Merchant
- Arnold School of Public Health, University of South Carolina, Columbia, USA
| | - Junaid Iqbal
- Department of Medicine, The Aga Khan University, Stadium Road, Karachi, Pakistan
| | - Aysha Almas
- Department of Medicine, The Aga Khan University, Stadium Road, Karachi, Pakistan
| | | | - Sana Sheikh
- Department of Medicine, The Aga Khan University, Stadium Road, Karachi, Pakistan.
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Sun F, Williams CA, Sun Q, Hu F, Zhang T. Effect of eight-week high-intensity interval training versus moderate-intensity continuous training programme on body composition, cardiometabolic risk factors in sedentary adolescents. Front Physiol 2024; 15:1450341. [PMID: 39183975 PMCID: PMC11341307 DOI: 10.3389/fphys.2024.1450341] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/17/2024] [Accepted: 07/24/2024] [Indexed: 08/27/2024] Open
Abstract
Objectives This study aimed to assess and compare the effect of an 8-week high-intensity interval training (HIIT) or moderate-intensity continuous training (MICT) programme on body composition and cardiovascular metabolic outcomes of sedentary adolescents in China. Methods Eighteen sedentary normal-weight adolescents (age: 18.5 ± 0.3 years, 11 females) were randomized into three groups. HIIT group protocol consisted of three sessions/week for 8-week of "all out" sprints to reach 85%-95% of HRmax, and MICT group protocol undertook three sessions/week for 8-week of continuous running to reach 65%-75% of HRmax. The control group resumed normal daily activities without any intervention. Blood pressure and body composition were measured, and fasting blood samples were obtained at baseline and 48 h post-trial. Mixed-design ANOVA analysis was employed followed by post hoc t-tests and Bonferroni alpha-correction was used to evaluate interaction, between-group, and within-group differences, respectively. Results Results indicated that HIIT and MICT similarly affected body fat mass (p = 0.021, ES = 0.19; p = 0.016, ES = 0.30, respectively), body fat percentage (p = 0.037, ES = 0.17; p = 0.041, ES = 0.28, respectively), visceral fat area (p = 0.001, ES = 0.35; p = 0.003, ES = 0.49, respectively) of body composition. A positive outcome was observed for waist/hip ratio (p = 0.033, ES = 0.43) in HIIT, but not MICT (p = 0.163, ES = 0.33). No significant differences were found between groups for any clinical biomarkers. However, pairwise comparison within the group showed a significant decrease in systolic blood pressure (p = 0.018, ES = 0.84), diastolic blood pressure (p = 0.008, ES = 1.76), and triglyceride (p = 0.004, ES = 1.33) in HIIT, but no significant differences were found in the MICT and Control group. Conclusion Both 8-week HIIT and MICT programmes have similar positive effects on reducing body fat mass, fat percentage, and visceral fat area. However, sedentary adolescents may have limited scope to decrease insulin resistance after these 8-week interventions. Notably, the 8-week HIIT intervention was highly effective in increasing cardiometabolic health compared to the MICT. The exercise intensity threshold value and metabolic outcomes of high-intensity interval sprints should be explored further to extend the long-term benefit in this cohort.
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Affiliation(s)
- Fucheng Sun
- Department of Physical Education, Faculty of Social Science, Nanjing Agricultural University, Nanjing, China
| | - Craig A Williams
- Children's Health and Exercise Research Centre, Public Health and Sports Sciences, University of Exeter Medical School, Faculty of Health and Life Sciences, University of Exeter, Exeter, United Kingdom
| | - Qiang Sun
- Sport Science Research Institute, Nanjing Sport Institute, Nanjing, China
| | - Feng Hu
- Hospital, Nanjing Agricultural University, Nanjing, China
| | - Ting Zhang
- Hospital, Nanjing Agricultural University, Nanjing, China
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Gupta A, Choudhary N, Gupta N. Prediabetes in children and adolescents: A ticking bomb! World J Clin Pediatr 2024; 13:92127. [PMID: 38947990 PMCID: PMC11212763 DOI: 10.5409/wjcp.v13.i2.92127] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/21/2024] [Revised: 02/12/2024] [Accepted: 04/25/2024] [Indexed: 06/07/2024] Open
Abstract
Prediabetes in children and adolescents is on the rise which has drawn significant attention over the past decade. It is an early warning sign of the underlying pathophysiological changes which in due course of time might compound into type II diabetes mellitus. The incidence of prediabetes in adolescents ranges from 4%-23% which is alarmingly high and requires active intervention from the system. We have discussed early identification of high-risk patients, prompt screening and active intervention to manage this growing problem.
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Affiliation(s)
- Anju Gupta
- Department of Anesthesiology, Pain Medicine and Critical Care, All India Institute of Medical Science, New Delhi 110076, India
| | - Nitin Choudhary
- Department of Anesthesiology, Pain Medicine and Critical Care, All India Institute of Medical Science, New Delhi 110076, India
| | - Nishkarsh Gupta
- Department of Onco-Anesthesiology and Palliative Medicine, All India Institute of Medical Science, New Delhi 110029, India
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Yang C, Li S, Wu L, Ding Z, Zhou H, Pan Y, Yang C, Lin J, Li Q, You Y, Zhong X, Chen Y, Zhao Y. Prevalence of prediabetes by the fasting plasma glucose and HbA1c screening criteria among the children and adolescents of Shenzhen, China. Front Endocrinol (Lausanne) 2024; 15:1301921. [PMID: 38313368 PMCID: PMC10836591 DOI: 10.3389/fendo.2024.1301921] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/25/2023] [Accepted: 01/02/2024] [Indexed: 02/06/2024] Open
Abstract
Background Prediabetes is associated with an increased risk of cardiovascular diseases and all-cause mortality. Rare research in China has evaluated the prevalence of prediabetes among children and adolescents using the HbA1c criterion or the combined FPG-or-HbA1c diagnostic criterion, and researchers paid no attention to the distributions of blood glucose in Shenzhen, especially for juveniles. Methods We conducted a school-based cross-sectional study based on the first-year students from 17 primary, middle, and high schools. Prediabetes was defined as FPG of 5.6-6.9 mmol/L or HbA1c of 5.7%-6.4%. The crude and standardized prevalence of prediabetes with 95% confidence interval (95% CI) was estimated. Results A total of 7519 participants, aged 6 to 17 years, were included. For all subjects, the crude prevalence (95% CI) of prediabetes was 1.49% (1.21-1.77), 8.72% (8.08-9.36), and 9.80% (9.13-10.47) by the FPG-only, HbA1c-only, and FPG-or-HbA1c criteria, respectively. Based on the 2010 Shenzhen census population, the standardized prevalence was 1.56% (males 1.85%, females 1.19%), 11.05% (males 11.47%, females 10.53%), and 12.19% (males 13.01%, females 11.15%) by the corresponding criteria. The proportion of prediabetes was higher for males than females, and the prevalence decreased with grade for males but increased for females. The association of BMI and prediabetes was U-shaped curve, indicating higher rates of prediabetes for underweight and obesity people. Conclusion The blood glucose status of children and adolescents in Shenzhen is worrisome, and the early detection and management of prediabetes are imperative.
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Affiliation(s)
- Chen Yang
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
- Department of Endocrinology and Metabolism, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China
| | - Shaohua Li
- Wards of Cadres, Zhuhai People's Hospital (Zhuhai Clinical Medical College of Jinan University), Zhuhai, Guangdong, China
| | - Liangyan Wu
- Department of Endocrinology and Metabolism, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Zan Ding
- Department of Science and Education, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Hua Zhou
- Department of Administrative, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Ying Pan
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Chufu Yang
- Department of Huangtian Outpatient, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Jinjun Lin
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Qiang Li
- Department of Endocrinology, Shenzhen University General Hospital, Shenzhen, Guangdong, China
| | - Yingbin You
- Department of Administrative, Baoan Central Hospital of Shenzhen, Shenzhen, Guangdong, China
| | - Xu Zhong
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yuyuan Chen
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
| | - Yu Zhao
- Department of Endocrinology, Baoan Central Hospital of Shenzhen, The 5th Affiliated Hospital of Shenzhen University Health Science Center, Shenzhen, Guangdong, China
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Tekielak A, Otto-Buczkowska E, Rusak E. Less common forms of diabetes in young population. Pediatr Endocrinol Diabetes Metab 2024; 30:29-35. [PMID: 39026476 PMCID: PMC11037089 DOI: 10.5114/pedm.2024.136279] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/08/2023] [Accepted: 12/16/2023] [Indexed: 07/20/2024]
Abstract
Types diabetes other than type 1 are generally considered rare in children and adolescents. The incidence of type 2 diabetes has increased dramatically over the past decade in some ethnic groups. The increased incidence of this type of diabetes mellitus has corresponded tem-porally to unprecedented increases in body weight and obesity prevalence in adolescents in various ethnic populations. Early treatment of insulin resistance is important to prevent the development of diabetes. In therapy, lifestyle modification is essential for weight loss, and if this is not enough, pharmacotherapy is required. Maturity-onset diabetes of the young (MODY), another type of insulin-dependent diabetes, is characterised by early onset and autosomal dominant inheritance. MODY is mainly caused by β-cell defects, resulting in insufficient insulin secretion for a given blood glucose level. Unlike non-insulin-dependent diabetes in youth (NIDDM-Y), there is no significant increase in insulin resistance. The purpose of this article is to characterise and present types of diabetes other than type 1 found in the young population.
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Affiliation(s)
- Anna Tekielak
- Students’ Scientific Association at the Department of Children’s Diabetology, Medical University of Silesia, Katowice, Poland
| | | | - Ewa Rusak
- Department of Children’s Diabetology, Medical University of Silesia, Katowice, Poland
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Goodrich JA, Wang H, Walker DI, Lin X, Hu X, Alderete TL, Chen Z, Valvi D, Baumert BO, Rock S, Berhane K, Gilliland FD, Goran MI, Jones DP, Conti DV, Chatzi L. Postprandial Metabolite Profiles and Risk of Prediabetes in Young People: A Longitudinal Multicohort Study. Diabetes Care 2024; 47:151-159. [PMID: 37971952 PMCID: PMC10733648 DOI: 10.2337/dc23-0327] [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: 02/22/2023] [Accepted: 10/22/2023] [Indexed: 11/19/2023]
Abstract
OBJECTIVE Prediabetes in young people is an emerging epidemic that disproportionately impacts Hispanic populations. We aimed to develop a metabolite-based prediction model for prediabetes in young people with overweight/obesity at risk for type 2 diabetes. RESEARCH DESIGN AND METHODS In independent, prospective cohorts of Hispanic youth (discovery; n = 143 without baseline prediabetes) and predominately Hispanic young adults (validation; n = 56 without baseline prediabetes), we assessed prediabetes via 2-h oral glucose tolerance tests. Baseline metabolite levels were measured in plasma from a 2-h postglucose challenge. In the discovery cohort, least absolute shrinkage and selection operator regression with a stability selection procedure was used to identify robust predictive metabolites for prediabetes. Predictive performance was evaluated in the discovery and validation cohorts using logistic regression. RESULTS Two metabolites (allylphenol sulfate and caprylic acid) were found to predict prediabetes beyond known risk factors, including sex, BMI, age, ethnicity, fasting/2-h glucose, total cholesterol, and triglycerides. In the discovery cohort, the area under the receiver operator characteristic curve (AUC) of the model with metabolites and known risk factors was 0.80 (95% CI 0.72-0.87), which was higher than the risk factor-only model (AUC 0.63 [0.53-0.73]; P = 0.001). When the predictive models developed in the discovery cohort were applied to the replication cohort, the model with metabolites and risk factors predicted prediabetes more accurately (AUC 0.70 [95% CI 40.55-0.86]) than the same model without metabolites (AUC 0.62 [0.46-0.79]). CONCLUSIONS Metabolite profiles may help improve prediabetes prediction compared with traditional risk factors. Findings suggest that medium-chain fatty acids and phytochemicals are early indicators of prediabetes in high-risk youth.
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Affiliation(s)
- Jesse A. Goodrich
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Hongxu Wang
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Douglas I. Walker
- Gangarosa Department of Environmental Health, Rollins School of Public Health, Emory University, Atlanta, GA
| | - Xiangping Lin
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Xin Hu
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA
| | - Tanya L. Alderete
- Department of Integrative Physiology, University of Colorado Boulder, Boulder, CO
| | - Zhanghua Chen
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Damaskini Valvi
- Department of Environmental Medicine and Public Health, Icahn School of Medicine at Mount Sinai, New York, NY
| | - Brittney O. Baumert
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Sarah Rock
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Kiros Berhane
- Department of Biostatistics, Columbia University, New York, NY
| | - Frank D. Gilliland
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Michael I. Goran
- Division of Endocrinology, Department of Pediatrics, Saban Research Institute, Children’s Hospital Los Angeles, Los Angeles, CA
- Department of Pediatrics, Keck School of Medicine, Los Angeles, CA
| | - Dean P. Jones
- Clinical Biomarkers Laboratory, Division of Pulmonary, Allergy, Critical Care and Sleep Medicine, Emory University, Atlanta, GA
| | - David V. Conti
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Leda Chatzi
- Department of Population and Public Health Sciences, Keck School of Medicine, University of Southern California, Los Angeles, CA
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Ng HY, Chan LTW. Prediabetes in children and adolescents: An updated review. World J Clin Pediatr 2023; 12:263-272. [PMID: 38178932 PMCID: PMC10762598 DOI: 10.5409/wjcp.v12.i5.263] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/25/2023] [Revised: 10/05/2023] [Accepted: 10/16/2023] [Indexed: 12/08/2023] Open
Abstract
Prediabetes, the precursor of type 2 diabetes mellitus, is an intermediate stage between normal glucose homeostasis and overt diabetes. This asymptomatic metabolic state is increasingly prevalent in pediatric population and is very difficult to detect without appropriate screening. Studies have shown that a certain proportion of children with prediabetes will develop diabetes in a few years. Even more alarming is the evidence that youth-onset diabetes has a more aggressive clinical course with progressive beta-cell decline and accelerated end-organ damage. Despite its importance, several aspects involving prediabetes in childhood are disputed or unknown. This review presents the latest insights into this challenging entity and outlines a simplified screening approach to aid clinical practice. In summary, childhood prediabetes is an important clinical condition indicating the need for proper screening and timely intervention.
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Affiliation(s)
- Hak Yung Ng
- Department of Paediatrics and Adolescent Medicine, Tseung Kwan O Hospital, Hong Kong, China
| | - Louis Tsz Wang Chan
- Department of Paediatrics and Adolescent Medicine, Tseung Kwan O Hospital, Hong Kong, China
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12
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Belsky N, Tamaroff J, Shoemaker AH. Risk Factors for Progression to Type 2 Diabetes in a Pediatric Prediabetes Clinic Population. J Endocr Soc 2023; 7:bvad118. [PMID: 37841954 PMCID: PMC10569239 DOI: 10.1210/jendso/bvad118] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/25/2023] [Indexed: 10/17/2023] Open
Abstract
Background Pediatric type 2 diabetes (T2D) is increasing in prevalence, yet it is unclear what definition of pediatric prediabetes predicts progression to T2D. Strategies are needed to better identify at risk individuals who could benefit from early intervention. Methods Retrospective chart review of a pediatric prediabetes clinic over 7 years. Inclusion criteria include hemoglobin A1c (HbA1C) and ≥1 glucose from oral glucose tolerance test. Exclusion criteria include type 1 diabetes, maturity onset diabetes of the young, or T2D on initial visit. Results A total of 552 patients were included, 6.5% (n = 36) progressed to T2D over 2.4 ± 1.5 years. At initial visit, T2D progressors had a higher body mass index (38.6 ± 6.5 vs 34.2 ± 8.4 kg/m2, P = .002), HbA1C (6.0 ± 0.3%, vs 5.7± 0.3, P < .001), 2-hour glucose (141 ± 28 vs 114 ± 29 mg/dL, P < .001), and C-peptide (4.8 vs 3.6 ng/mL, P = .001). Fasting glucose was not significantly different. In a multivariable model, male sex (hazard ratio [HR], 2.4; P = .012), initial visit HbA1C (HR, 1.3 per 0.1% increase; P < .001), and 2-hour glucose level (HR, 1.2 per 10 mg/dL increase; P = .014) were all predictive of T2D progression. Patients who progressed to T2D had an increase in body mass index of 4.2 kg/m2 and children consistently taking metformin took longer to progress (43 ± 21 vs 26 ± 16 months; P = .016). Discussion A total of 6.5% of patients with prediabetes developed T2D over a 7-year period. Initial visit laboratory values and weight trajectory may allow for risk stratification, whereas fasting plasma glucose is less helpful. Weight stabilization and metformin therapy could be important interventions for diabetes prevention in children.
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Affiliation(s)
- Natasha Belsky
- Vanderbilt University School of Medicine, Nashville, TN 37212, USA
| | - Jaclyn Tamaroff
- Division of Pediatric Endocrinology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
| | - Ashley H Shoemaker
- Division of Pediatric Endocrinology, Vanderbilt University Medical Center, Nashville, TN 37212, USA
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13
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Ghaddar R, Hudson EA, Jeans MR, Vandyousefi S, Landry MJ, Davis JN. Ethnicity/race, parent educational attainment, and obesity associated with prediabetes in children. Nutr Diabetes 2023; 13:15. [PMID: 37689792 PMCID: PMC10492811 DOI: 10.1038/s41387-023-00244-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 10/03/2022] [Revised: 04/12/2023] [Accepted: 08/29/2023] [Indexed: 09/11/2023] Open
Abstract
BACKGROUND/OBJECTIVES Obesity and other predictors of type 2 diabetes disproportionally affect Hispanic and Black children in the US compared to non-Hispanic White (NHW) children. Yet, the prevalence of prediabetes in children remains unestablished, and guidelines for screening young children are lacking. This study examined the relationships between demographic factors and prediabetes in vulnerable youth in central Texas. SUBJECTS/METHODS This is a cross-sectional analysis of baseline data from 976 3rd-5th graders (7-12 years) who participated in TX Sprouts, a school-based gardening, nutrition, and cooking trial in 16 elementary schools serving mainly children from minority backgrounds and lower-income households. Measures collected included age, sex, ethnicity, free/reduced-priced school lunch (FRL) status, parent educational attainment (questionnaires), BMI from height (stadiometer) and weight (TANITA scale), and prediabetes status from fasting plasma glucose (FPG) and HbA1c. Regressions examined cross-sectional associations between demographics and FPG, HbA1c, and prediabetes. RESULTS Children were 47% male, 67% Hispanic, and 10% Black, with a mean age of 9.3 years; 71% received FRL, 50% had overweight/obesity, and 26% had prediabetes. Prediabetes rates were 2.8 and 4.8 times higher in Hispanic and Black children compared to NHW children, respectively (p ≤ 0.001), and 1.5 times higher in children with obesity versus normal BMI (p = 0.02). Children of parents with only an 8th-grade education, some high school education, or a high school degree had 3.1, 2.7, and 2.2 times higher odds of having prediabetes compared to children of college graduates, respectively (p ≤ 0.004). Analyses with FPG and HbA1c yielded similar results. CONCLUSION These findings suggest a potential need for earlier screening, more comprehensive testing guidelines, and prevention programs tailored toward minority children, children with obesity, and children of parents with low educational attainment. Future research should explore this finding in a larger, nationally representative sample.
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Affiliation(s)
- Reem Ghaddar
- Department of Nutritional Sciences, College of Natural Sciences, University of Texas at Austin, Austin, TX, USA
| | - Erin A Hudson
- Department of Nutritional Sciences, College of Natural Sciences, University of Texas at Austin, Austin, TX, USA
| | - Matthew R Jeans
- Department of Nutritional Sciences, College of Natural Sciences, University of Texas at Austin, Austin, TX, USA
| | - Sarvenaz Vandyousefi
- New York University, Grossman School of Medicine, Department of Medicine, New York, USA
| | - Matthew J Landry
- Stanford Prevention Research Center, School of Medicine, Stanford University, Palo Alto, USA
| | - Jaimie N Davis
- Department of Nutritional Sciences, College of Natural Sciences, University of Texas at Austin, Austin, TX, USA.
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14
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Martino F, Bassareo PP, Martino E, Romeo F, Calcaterra G, Perrone Filardi P, Indolfi C, Nodari S, Montemurro V, Guccione P, Salvo GD, Chessa M, Pedrinelli R, Mercuro G, Barillà F. Cardiovascular prevention in childhood: a consensus document of the Italian Society of Cardiology Working Group on Congenital Heart Disease and Cardiovascular Prevention in Paediatric Age. J Cardiovasc Med (Hagerstown) 2023; 24:492-505. [PMID: 37409595 DOI: 10.2459/jcm.0000000000001488] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 07/07/2023]
Abstract
Cardiovascular diseases (CVD) may be manifested from a very early age. Genetic and environmental (epigenetic) factors interact to affect development and give rise to an abnormal phenotypical expression of genetic information, although not eliciting changes in the nucleotide sequence of DNA. It has been scientifically proven that increased oxidative stress (OS) caused by disease (overweight, obesity, diabetes), nutritional imbalances, unhealthy lifestyles (smoking, alcohol, substance abuse) in the mother during pregnancy may induce placental dysfunction, intrauterine growth restriction, prematurity, low birth weight, postnatal adiposity rebound, metabolic alterations and consequent onset of traditional cardiovascular risk factors. OS represents the cornerstone in the onset of atherosclerosis and manifestation of CVD following an extended asymptomatic period. OS activates platelets and monocytes eliciting the release of pro-inflammatory, pro-atherogenic and pro-oxidising substances resulting in endothelial dysfunction, decrease in flow-mediated arterial dilatation and increase in carotid intima-media thickness. The prevention of CVD is defined as primordial (aimed at preventing risk factors development), primary (aimed at early identification and treatment of risk factors), secondary (aimed at reducing risk of future events in patients who have already manifested a cardiovascular event), and tertiary (aimed at limiting the complex outcome of disease). Atherosclerosis prevention should be implemented as early as possible. Appropriate screening should be carried out to identify children at high risk who are apparently healthy and implement measures including dietary and lifestyle changes, addition of nutritional supplements and, lastly, pharmacological treatment if risk profiles fail to normalise. Reinstating endothelial function during the reversible stage of atherosclerosis is crucial.
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Affiliation(s)
- Francesco Martino
- Department of Internal Clinical, Anesthesiological and Cardiovascular Sciences, La Sapienza University, Rome, Italy
| | - Pier Paolo Bassareo
- University College of Dublin, School of Medicine, Mater Misericordiae University Hospital and Children's Health Ireland at Crumlin, Dublin, Ireland
| | - Eliana Martino
- Department of Internal Clinical, Anesthesiological and Cardiovascular Sciences, La Sapienza University, Rome, Italy
| | | | | | | | - Ciro Indolfi
- Division of Cardiology, Research Centre for Cardiovascular Diseases, Magna Graecia University, Catanzaro
| | - Savina Nodari
- Department of Medical Surgical Specialties, Radiological Sciences and Public Health, University of Brescia, ASST Spedali Civili, Brescia
| | | | - Paolo Guccione
- Department of Cardiology, Cardiac Surgery, Cardio-pulmonary Transplantation, IRCCS Bambino Gesu'Paediatric Hospital, Rome
| | - Giovanni Di Salvo
- Division of Paediatric Cardiology, Department of Women's and Children's Health, University of Padua, Padua
| | - Massimo Chessa
- ACHD UNIT, Pediatric and Adult Congenital Heart Centre, IRCCS-Policlinico San Donato, San Donato Milanese, Vita Salute San Raffaele University, Milan
| | - Roberto Pedrinelli
- Department of Surgical, Medical and Molecular Pathology and Critical Care Medicine, University of Pisa, Pisa
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Furdela V, Pavlyshyn H, Shulhai AM, Kozak K, Furdela M. Triglyceride glucose index, pediatric NAFLD fibrosis index, and triglyceride-to-high-density lipoprotein cholesterol ratio are the most predictive markers of the metabolically unhealthy phenotype in overweight/obese adolescent boys. Front Endocrinol (Lausanne) 2023; 14:1124019. [PMID: 37234798 PMCID: PMC10206000 DOI: 10.3389/fendo.2023.1124019] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/14/2022] [Accepted: 04/19/2023] [Indexed: 05/28/2023] Open
Abstract
Introduction The prevalence of obesity constantly increases worldwide and definitely increases the risk of premature death in early adulthood. While there is no treatment yet with proven efficacy for the metabolic clamp such as arterial hypertension, dyslipidemia, insulin resistance, diabetes type 2, and fatty liver disease, it is imperative to find a way to decrease cardiometabolic complications. Early prevention strategies beginning in childhood are the most logical step to reduce future cardiovascular morbidity and mortality. Therefore, the aim of the current study is to determine the most sensitive and specific predictive markers of the metabolically unhealthy phenotype with high cardiometabolic risk in overweight/obese adolescent boys. Methods This study was carried out at the Ternopil Regional Children's hospital (Western Ukraine) and involved 254 randomly chosen adolescent overweight or obese boys [median age was 16.0 (15.0,16.1) years]. A control group of 30 healthy children with proportional body weight comparable in gender and age to the main group was presented. A list of anthropometrical markers with biochemical values of carbohydrate and lipid metabolism with hepatic enzymes was determined. All overweight/obese boys were divided into three groups: 51.2% of the boys with metabolic syndrome (MetS) based on the IDF criteria; 19.7% of the boys were metabolically healthy obese (MHO) without hypertension, dyslipidemia, and hyperglycemia; and the rest of the boys (29.1%) were classified as metabolically unhealthy obese (MUO) with only one criterion (hypertension, dyslipidemia, or hyperglycemia). Results Based on multiple logistic regression analysis that included all anthropometric and biochemical values and calculated indexes in boys from the MHO group and MetS, it was revealed that the maximum likelihood in the prediction of MetS makes the combination of triglyceride glucose index, pediatric nonalcoholic fatty liver disease fibrosis index (PNFI), and triglyceride-to-high-density lipoprotein cholesterol ratio (R2 =0.713, p<0.000). By tracing the receiver operating characteristic curve, the model is confirmed as a good predictor of MetS (AUC=0.898, odds ratio=27.111 percentage correct=86.03%) in overweight and obese boys. Conclusion Triglyceride glucose index, pediatric NAFLD fibrosis index, and triglyceride-to-high-density lipoprotein cholesterol ratio are a valuable combination of predictive markers of the metabolically unhealthy phenotype in Ukrainian overweight/obese boys.
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Affiliation(s)
- Viktoriya Furdela
- Department of Pediatrics No2, I. Horbachevsky Ternopil National Medical University of the Ministry of Health of Ukraine, Ternopil, Ukraine
| | - Halyna Pavlyshyn
- Department of Pediatrics No2, I. Horbachevsky Ternopil National Medical University of the Ministry of Health of Ukraine, Ternopil, Ukraine
| | - Anna-Mariia Shulhai
- Department of Pediatrics No2, I. Horbachevsky Ternopil National Medical University of the Ministry of Health of Ukraine, Ternopil, Ukraine
| | - Kateryna Kozak
- Department of Pediatrics No2, I. Horbachevsky Ternopil National Medical University of the Ministry of Health of Ukraine, Ternopil, Ukraine
| | - Mykhailo Furdela
- Department of Pathologic Anatomy, Autopsy Course and Forensic Pathology, I.Horbachevsky Ternopil National Medical University of the Ministry of Health of Ukraine, Ternopil, Ukraine
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16
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Guerrero SC, Panettieri RA, Rastogi D. Mechanistic Links Between Obesity and Airway Pathobiology Inform Therapies for Obesity-Related Asthma. Paediatr Drugs 2023; 25:283-299. [PMID: 36656428 PMCID: PMC11071627 DOI: 10.1007/s40272-022-00554-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 03/27/2022] [Indexed: 01/20/2023]
Abstract
Obesity-related asthma is associated with a high disease burden and a poor response to existent asthma therapies, suggesting that it is a distinct asthma phenotype. The proposed mechanisms that contribute to obesity-related asthma include the effects of the mechanical load of obesity, adipokine perturbations, and immune dysregulation. Each of these influences airway smooth muscle function. Mechanical fat load alters airway smooth muscle stretch affecting airway wall geometry, airway smooth muscle contractility, and agonist delivery; weight loss strategies, including medically induced weight loss, counter these effects. Among the metabolic disturbances, insulin resistance and free fatty acid receptor activation influence distinct signaling pathways in the airway smooth muscle downstream of both the M2 muscarinic receptor and the β2 adrenergic receptor, such as phospholipase C and the extracellular signal-regulated kinase signaling cascade. Medications that decrease insulin resistance and dyslipidemia are associated with a lower asthma disease burden. Leptin resistance is best understood to modulate muscarinic receptors via the neural pathways but there are no specific therapies for leptin resistance. From the immune perspective, monocytes and T helper cells are involved in systemic pro-inflammatory profiles driven by obesity, notably associated with elevated levels of interleukin-6. Clinical trials on tocilizumab, an anti-interleukin antibody, are ongoing for obesity-related asthma. This armamentarium of therapies is distinct from standard asthma medications, and once investigated for its efficacy and safety among children, will serve as a novel therapeutic intervention for pediatric obesity-related asthma. Irrespective of the directionality of the association between asthma and obesity, airway-specific mechanistic studies are needed to identify additional novel therapeutic targets for obesity-related asthma.
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Affiliation(s)
- Silvia Cabrera Guerrero
- Division of Pediatric Pulmonary and Sleep Medicine, Children's National Hospital, George Washington University, 111 Michigan Ave NW, Washington, DC, 20010, USA
| | - Reynold A Panettieri
- Rutgers Institute for Translational Medicine and Science, Rutgers, The State University of New Jersey, New Brunswick, NJ, USA
| | - Deepa Rastogi
- Division of Pediatric Pulmonary and Sleep Medicine, Children's National Hospital, George Washington University, 111 Michigan Ave NW, Washington, DC, 20010, USA.
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17
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Roshan Lal T, Cechinel LR, Freishtat R, Rastogi D. Metabolic Contributions to Pathobiology of Asthma. Metabolites 2023; 13:212. [PMID: 36837831 PMCID: PMC9962059 DOI: 10.3390/metabo13020212] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/13/2022] [Revised: 01/11/2023] [Accepted: 01/28/2023] [Indexed: 02/04/2023] Open
Abstract
Asthma is a heterogenous disorder driven by inflammatory mechanisms that result in multiple phenotypes. Given the complex nature of this condition, metabolomics is being used to delineate the pathobiology of asthma. Metabolomics is the study of metabolites in biology, which includes biofluids, cells, and tissues. These metabolites have a vital role in a disease as they contribute to the pathogenesis of said condition. This review describes how macrometabolic and micrometabolic studies pertaining to these metabolites have contributed to our current understanding of asthma, as well as its many phenotypes. One of the main phenotypes this review will discuss in further detail is obesity as well as diabetes. Distinct roles of metabolites in endotyping asthma and their translation to potential therapy development for asthma is also discussed in this review.
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Affiliation(s)
- Tamanna Roshan Lal
- Rare Disease Institute, Children’s National Hospital, Washington, DC 20012, USA
| | - Laura Reck Cechinel
- Departments of Pediatrics and Genomics and Precision Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Robert Freishtat
- Departments of Pediatrics and Genomics and Precision Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
| | - Deepa Rastogi
- Departments of Pediatrics and Genomics and Precision Medicine, George Washington University School of Medicine and Health Sciences, Washington, DC 20052, USA
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18
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Chen J, Guo W, Yin H, Ma L, Li S, Li H. Investigation of the Correlation Between the Polymorphism/Expression Level of RANTES and Its Receptor CCR5 Gene Promoter and Type 2 Diabetes Mellitus. Diabetes Metab Syndr Obes 2023; 16:213-223. [PMID: 36760585 PMCID: PMC9884060 DOI: 10.2147/dmso.s398264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/18/2022] [Accepted: 12/31/2022] [Indexed: 01/25/2023] Open
Abstract
BACKGROUND This study aimed to explore relationship among RANTES -28 (rs2280788) C/G polymorphism or CCR5 59029 (rs1799987) A/G polymorphism, level of self-expression, and type 2 diabetes mellitus (T2DM). MATERIALS AND METHODS Clinical data were collected from 92 subjects with normal blood glucose (NC) and 97 patients with T2DM (DM). CCR5 levels on the surface of monocyte/lymphocyte and plasma RANTES levels were detected by flow cytometry. TaqMan real-time fluorescent quantitative PCR was used to detect genetic polymorphisms of RANTES rs2280788 and CCR5 rs1799987. RESULTS There were no significant differences in frequencies of CCR5 rs1799987 genotype and A/G allele and frequencies of RANTES rs2280788 genotype and C/G allele, between subjects in NC and DM group (P > 0.05). Plasma RANTES level in DM group was significantly lower than NC group (P < 0.05), and difference came from patients with T2DM using insulin and subjects with normal blood glucose. CCR5 levels on the surface of monocytes and lymphocytes of patients in DM group were higher than NC group (P < 0.05). There was no significant difference in CCR5 level on the surface of monocytes and lymphocytes (or plasma RANTES level) among different genotypes of CCR5 rs1799987 (or RANTES rs2280788) (P > 0.05). RANTES level was positively correlated with age and TC and negatively correlated with diabetes course and HbA1c. CCR5 level on the surface of monocytes was positively correlated with drinking years, HbA1c, course of diabetes, and negatively correlated with TC. CCR5 on lymphocyte surface was positively correlated with diabetes course, smoking years, HbA1c, and negatively correlated with LDL, TC, HDL (P < 0.05). CONCLUSION RANTES -28 (rs2280788) C/G polymorphism or CCR5 59029 (rs1799987) A/G polymorphism may not be associated with T2DM of Han nationality in Kunming and cannot affect RANTES and CCR5 expression. RANTES and CCR5 levels may be related to T2DM but may also be affected by age, blood lipids, HbA1c, diabetes course, drugs, and other factors.
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Affiliation(s)
- Jie Chen
- Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, People’s Republic of China
| | - Weichang Guo
- Department of Physical Education, Kunming Medical University, Kunming, 650032, People’s Republic of China
| | - Hejia Yin
- Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, People’s Republic of China
| | - Liju Ma
- Department of Clinical Laboratory, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, People’s Republic of China
| | - Shaoyou Li
- Department of The Scientific Research Laboratory Center, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, People’s Republic of China
| | - Huifang Li
- Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, Kunming, 650032, People’s Republic of China
- Correspondence: Huifang Li, Department of Diabetes, The First Affiliated Hospital of Kunming Medical University, No. 295 Xichang Road, Wuhua District, Kunming, 650032, People’s Republic of China, Email
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Insulin resistance in children. Curr Opin Pediatr 2022; 34:400-406. [PMID: 35796641 DOI: 10.1097/mop.0000000000001151] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE OF REVIEW Insulin resistance (IR) is a clinical condition due to the decline in the efficiency of insulin promoting glucose uptake and utilization. The aim of this review is to provide an overview of the current knowledge on IR in children, focusing on its physiopathology, the most appropriate methods of measurement of IR, the assessment of risk factors, the effects of IR in children, and finally giving indications on screening and treatment. RECENT FINDINGS IR has evolved more and more to be a global public health problem associated with several chronic metabolic diseases. SUMMARY Detecting a correct measurement method and specific risk predictors, in order to reduce the incidence of IR, represents a challenging goal.
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20
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Sánchez E, Kerkeni M, Hernández M, Gavaldà R, Rius F, Sauret A, Torres G, Bermúdez-López M, Fernández E, Castro-Boqué E, Purroy F, Mauricio D, Farràs-Sallés C, Buti M, Godoy P, Pamplona R, Lecube A. Weak Association between Skin Autofluorescence Levels and Prediabetes with an ILERVAS Cross-Sectional Study. Nutrients 2022; 14:nu14051102. [PMID: 35268075 PMCID: PMC8912766 DOI: 10.3390/nu14051102] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/28/2022] [Revised: 02/27/2022] [Accepted: 03/03/2022] [Indexed: 02/04/2023] Open
Abstract
A large body of evidence demonstrates a relationship between hyperglycemia and increased concentrations of advanced glycation end-products (AGEs). However, there is little information about subcutaneous AGE accumulation in subjects with prediabetes, and whether or not this measurement could assist in the diagnosis of prediabetes is unclear. A cross-sectional study was conducted in 4181 middle-aged subjects without diabetes. Prediabetes (n = 1444) was defined as a glycosylated hemoglobin (HbA1c) level between 39 and 47 mmol/mol (5.7 to 6.4%), and skin autofluorescence (SAF) measurement was performed to assess AGEs. A multivariable logistic regression model and receiver operating characteristic curve were used. The cohort consisted of 50.1% women with an age of 57 [52;62] years, a BMI of 28.3 [25.4;31.6] kg/m2, and a prevalence of prediabetes of 34.5%. Participants with prediabetes showed higher SAF than control participants (2.0 [1.7;2.2] vs. 1.9 [1.7;2.2], p < 0.001). However, HbA1c was not significantly correlated with SAF levels (r = 0.026, p = 0.090). In addition, the SAF level was not independently associated with prediabetes (OR = 1.12 (0.96 to 1.30)). Finally, there was no good cutoff point for SAF to identify patients with prediabetes (AUC = 0.52 (0.50 to 0.54), sensitivity = 0.61, and 1-specificity = 0.56). Given all of this evidence, we can conclude that although there is an increase in SAF levels in participants with prediabetes, the applicability and clinical relevance of the results is low in this population.
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Affiliation(s)
- Enric Sánchez
- Endocrinology and Nutrition Department, Diabetes and Metabolism (ODIM) Research Group, University Hospital Arnau de Vilanova, Obesity, IRBLleida, University of Lleida, 25198 Lleida, Spain; (E.S.); (M.H.); (F.R.); (A.S.)
| | - Mohsen Kerkeni
- Laboratory of Research on Biologically Compatible Compounds, Faculty of Dental Medicine, University of Monastir, Monastir 5000, Tunisia;
| | - Marta Hernández
- Endocrinology and Nutrition Department, Diabetes and Metabolism (ODIM) Research Group, University Hospital Arnau de Vilanova, Obesity, IRBLleida, University of Lleida, 25198 Lleida, Spain; (E.S.); (M.H.); (F.R.); (A.S.)
| | - Ricard Gavaldà
- Amalfi Analytics, Polytechnic University of Catalonia, 08034 Barcelona, Spain;
| | - Ferran Rius
- Endocrinology and Nutrition Department, Diabetes and Metabolism (ODIM) Research Group, University Hospital Arnau de Vilanova, Obesity, IRBLleida, University of Lleida, 25198 Lleida, Spain; (E.S.); (M.H.); (F.R.); (A.S.)
| | - Ariadna Sauret
- Endocrinology and Nutrition Department, Diabetes and Metabolism (ODIM) Research Group, University Hospital Arnau de Vilanova, Obesity, IRBLleida, University of Lleida, 25198 Lleida, Spain; (E.S.); (M.H.); (F.R.); (A.S.)
| | - Gerard Torres
- Precision Medicine in Chronic Diseases Group, IRBLleida, 25198 Lleida, Spain;
| | - Marcelino Bermúdez-López
- Vascular and Renal Translational Research Group, IRBLleida, 25198 Lleida, Spain; (M.B.-L.); (E.F.); (E.C.-B.)
- Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), 28029 Madrid, Spain
| | - Elvira Fernández
- Vascular and Renal Translational Research Group, IRBLleida, 25198 Lleida, Spain; (M.B.-L.); (E.F.); (E.C.-B.)
- Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), 28029 Madrid, Spain
| | - Eva Castro-Boqué
- Vascular and Renal Translational Research Group, IRBLleida, 25198 Lleida, Spain; (M.B.-L.); (E.F.); (E.C.-B.)
- Red de Investigación Renal, Instituto de Salud Carlos III (RedinRen-ISCIII), 28029 Madrid, Spain
| | - Francisco Purroy
- Stroke Unit, Clinical Neurosciences Group, University Hospital Arnau de Vilanova, IRBLleida, University of Lleida, 25198 Lleida, Spain; (F.P.); (P.G.)
| | - Dídac Mauricio
- Endocrinology and Nutrition Department, Hospital de la Santa Creu i Sant Pau, Institut de Recerca Biomèdica Sant Pau (IIB Sant Pau), 08025 Barcelona, Spain;
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
| | - Cristina Farràs-Sallés
- Applied Epidemiology Research Group, IRBLleida. Unitat de Suport a la Recerca Lleida, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 25198 Lleida, Spain; (C.F.-S.); (M.B.)
| | - Miquel Buti
- Applied Epidemiology Research Group, IRBLleida. Unitat de Suport a la Recerca Lleida, Fundació Institut Universitari per a la Recerca a l’Atenció Primària de Salut Jordi Gol i Gurina (IDIAPJGol), 25198 Lleida, Spain; (C.F.-S.); (M.B.)
| | - Pere Godoy
- Stroke Unit, Clinical Neurosciences Group, University Hospital Arnau de Vilanova, IRBLleida, University of Lleida, 25198 Lleida, Spain; (F.P.); (P.G.)
| | - Reinald Pamplona
- Department of Experimental Medicine, IRBLleida, University of Lleida, 25198 Lleida, Spain;
| | - Albert Lecube
- Endocrinology and Nutrition Department, Diabetes and Metabolism (ODIM) Research Group, University Hospital Arnau de Vilanova, Obesity, IRBLleida, University of Lleida, 25198 Lleida, Spain; (E.S.); (M.H.); (F.R.); (A.S.)
- Centro de Investigación Biomédica en Red de Diabetes y Enfermedades Metabólicas Asociadas (CIBERDEM), Instituto de Salud Carlos III (ISCIII), 28029 Madrid, Spain
- Correspondence: ; Tel.: +34-973-70-51-83; Fax: +34-973-70-51-89
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Zhang Q, Wan NJ. Simple Method to Predict Insulin Resistance in Children Aged 6-12 Years by Using Machine Learning. Diabetes Metab Syndr Obes 2022; 15:2963-2975. [PMID: 36193541 PMCID: PMC9526431 DOI: 10.2147/dmso.s380772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/08/2022] [Accepted: 09/13/2022] [Indexed: 11/29/2022] Open
Abstract
BACKGROUND Due to the increasing insulin resistance (IR) in childhood, rates of diabetes and cardiovascular disease may rise in the future and seriously threaten the healthy development of children. Finding an easy way to predict IR in children can help pediatricians to identify these children in time and intervene appropriately, which is particularly important for practitioners in primary health care. PATIENTS AND METHODS Seventeen features from 503 children 6-12 years old were collected. We defined IR by HOMA-IR greater than 3.0, thus classifying children with IR and those without IR. Data were preprocessed by multivariate imputation and oversampling to resolve missing values and data imbalances; then, recursive feature elimination was applied to further select features of interest, and 5 machine learning methods-namely, logistic regression (LR), support vector machine (SVM), random forest (RF), extreme gradient boosting (XGBoost), and gradient boosting with categorical features support (CatBoost)-were used for model training. We tested the trained models on an external test set containing information from 133 children, from which performance metrics were extracted and the optimal model was selected. RESULTS After feature selection, the numbers of chosen features for the LR, SVM, RF, XGBoost, and CatBoost models were 6, 9, 10, 14, and 6, respectively. Among them, glucose, waist circumference, and age were chosen as predictors by most of the models. Finally, all 5 models achieved good performance on the external test set. Both XGBoost and CatBoost had the same AUC (0.85), which was highest among those of all models. Their accuracy, sensitivity, precision, and F1 scores were also close, but the specificity of XGBoost reached 0.79, which was significantly higher than that of CatBoost, so XGBoost was chosen as the optimal model. CONCLUSION The model developed herein has a good predictive ability for IR in children 6-12 years old and can be clinically applied to help pediatricians identify children with IR in a simple and inexpensive way.
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Affiliation(s)
- Qian Zhang
- Department of Pediatrics, Beijing Jishuitan Hospital, Beijing, People’s Republic of China
| | - Nai-jun Wan
- Department of Pediatrics, Beijing Jishuitan Hospital, Beijing, People’s Republic of China
- Correspondence: Nai-jun Wan, Department of Pediatrics, Beijing Jishuitan Hospital, 31# Xinjiekou Dongjie, West District, Beijing, 100035, People’s Republic of China, Tel +86-10-58398102, Email
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