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Wen Q, Chowdhury AI, Aydin B, Shekha M, Stenlid R, Forslund A, Bergsten P. Metformin restores prohormone processing enzymes and normalizes aberrations in secretion of proinsulin and insulin in palmitate-exposed human islets. Diabetes Obes Metab 2023; 25:3757-3765. [PMID: 37694762 DOI: 10.1111/dom.15270] [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: 06/13/2023] [Revised: 08/15/2023] [Accepted: 08/21/2023] [Indexed: 09/12/2023]
Abstract
AIM To elucidate how proinsulin synthesis and insulin was affected by metformin under conditions of nutrient overstimulation. MATERIALS AND METHODS Isolated human pancreatic islets from seven donors were cultured at 5.5 mmol/L glucose and 0.5 mmol/L palmitate for 12, 24 or 72 h. Metformin (25 μmol/L) was introduced after initial 12 h with palmitate. Proinsulin and insulin were measured. Expression of prohormone convertase 1/3 (PC1/3) and carboxypeptidase E (CPE), was determined by western blot. Adolescents with obesity, treated with metformin and with normal glucose tolerance (n = 5), prediabetes (n = 14), or type 2 diabetes (T2DM; n = 7) were included. Fasting proinsulin, insulin, glucose, 2-h glucose and glycated haemoglobin were measured. Proinsulin/insulin ratio (PI/I) was calculated. RESULTS In human islets, palmitate treatment for 12 and 24 h increased proinsulin and insulin proportionally. After 72 h, proinsulin but not insulin continued to increase which was coupled with reduced expression of PC1/3 and CPE. Metformin normalized expression of PC1/3 and CPE, and proinsulin and insulin secretion. In adolescents with obesity, before treatment, fasting proinsulin and insulin concentrations were higher in subjects with T2DM than with normal glucose tolerance. PI/I was reduced after metformin treatment in subjects with T2DM as well as in subjects with prediabetes, coupled with reduced 2-h glucose and glycated haemoglobin. CONCLUSIONS Metformin normalized proinsulin and insulin secretion after prolonged nutrient-overstimulation, coupled with normalization of the converting enzymes, in isolated islets. In adolescents with obesity, metformin treatment was associated with improved PI/I, which was coupled with improved glycaemic control.
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Affiliation(s)
- Quan Wen
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | | | - Banu Aydin
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
| | - Mudhir Shekha
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
- Department of Biology, College of Science, Salahaddin University, Erbil, Iraq
| | - Rasmus Stenlid
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Paediatric Obesity Clinic, Uppsala University Hospital, Uppsala, Sweden
| | - Anders Forslund
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Paediatric Obesity Clinic, Uppsala University Hospital, Uppsala, Sweden
| | - Peter Bergsten
- Department of Medical Cell Biology, Uppsala University, Uppsala, Sweden
- Department of Women's and Children's Health, Uppsala University, Uppsala, Sweden
- Paediatric Obesity Clinic, Uppsala University Hospital, Uppsala, Sweden
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He H, Zhu WT, Nuyt AM, Marc I, Julien P, Huang R, Dubois L, Wei SQ, Zhang J, Levy E, Fraser WD, Luo ZC. Cord Blood IGF-I, Proinsulin, Leptin, HMW Adiponectin, and Ghrelin in Short or Skinny Small-for-Gestational-Age Infants. J Clin Endocrinol Metab 2021; 106:e3049-e3057. [PMID: 33738477 DOI: 10.1210/clinem/dgab178] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/08/2020] [Indexed: 12/20/2022]
Abstract
CONTEXT Small-for-gestational-age (SGA) is an indicator of poor fetal growth "programming" an elevated risk of type 2 diabetes in adulthood. Little is known about early-life endocrine characteristics in SGA subtypes. Stunting (short) and wasting (skinny) are considered distinct SGA phenotypes in neonatal prognosis. OBJECTIVES This work aimed to assess whether SGA infants with stunting or wasting have similar alterations in neonatal endocrine metabolic health biomarkers. METHODS This was a nested case-control study based on the 3D (Design, Develop, and Discover) birth cohort in Canada. The study subjects were 146 SGA (birth weight < 10th percentile) and 155 optimal-for-gestational age (OGA, 25th-75th percentiles) infants. Stunting was defined as birth length less than the 10th percentile, and wasting as body mass index less than the 10th percentile for sex and gestational age, respectively. Main outcome measures included cord plasma concentrations of insulin-like growth factor I (IGF-I), proinsulin, leptin, high-molecular-weight (HMW) adiponectin, and ghrelin. RESULTS Comparing to OGA infants adjusted for maternal and neonatal characteristics, SGA infants with either stunting only or wasting only had lower cord plasma IGF-I and leptin concentrations. HMW adiponectin concentrations were lower in SGA infants with wasting only (P = .004), but similar in SGA infants with stunting only (P = .816). Only SGA infants with both stunting and wasting had substantially lower proinsulin (P < .001) and higher ghrelin concentrations (P < .001) than OGA infants. CONCLUSION This study is the first to demonstrate that SGA infants with wasting only are characterized by low HMW adiponectin concentrations, whereas those with stunting only are not. SGA with both stunting and wasting are characterized by low proinsulin and high ghrelin concentrations.
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Affiliation(s)
- Hua He
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Department of Behavioral Pediatrics and Child Primary Care, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
- Department of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke J1H 5N4, Canada
- Sainte-Justine Hospital Research Center, University of Montreal, Montreal, H3T 1C5, Canada
| | - Wen-Ting Zhu
- Department of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke J1H 5N4, Canada
- Women's Hospital, Zhejiang University School of Medicine, Hangzhou 310006, China
| | - Anne Monique Nuyt
- Sainte-Justine Hospital Research Center, University of Montreal, Montreal, H3T 1C5, Canada
| | - Isabelle Marc
- CHU-Quebec Laval University Research Center, Laval University, Quebec City G1V 4G2, Canada
| | - Pierre Julien
- CHU-Quebec Laval University Research Center, Laval University, Quebec City G1V 4G2, Canada
| | - Rong Huang
- Lunenfeld-Tanenbaum Research Institute, Prosserman Centre for Population Health Research, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto M5G 1X5, Canada
| | - Lise Dubois
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa K1G 5Z3, Canada
| | - Shu-Qin Wei
- Sainte-Justine Hospital Research Center, University of Montreal, Montreal, H3T 1C5, Canada
| | - Jun Zhang
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Department of Behavioral Pediatrics and Child Primary Care, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
| | - Emile Levy
- Sainte-Justine Hospital Research Center, University of Montreal, Montreal, H3T 1C5, Canada
| | - William D Fraser
- Department of Obstetrics and Gynecology, University of Sherbrooke, Sherbrooke J1H 5N4, Canada
- Sainte-Justine Hospital Research Center, University of Montreal, Montreal, H3T 1C5, Canada
| | - Zhong-Cheng Luo
- Ministry of Education-Shanghai Key Laboratory of Children's Environmental Health, Department of Behavioral Pediatrics and Child Primary Care, Xinhua Hospital, Shanghai Jiao-Tong University School of Medicine, Shanghai 200092, China
- Lunenfeld-Tanenbaum Research Institute, Prosserman Centre for Population Health Research, Department of Obstetrics and Gynecology, Mount Sinai Hospital, Institute of Health Policy, Management and Evaluation, University of Toronto, Toronto M5G 1X5, Canada
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Sabiha B, Bhatti A, Roomi S, John P, Ali J. In silico analysis of non-synonymous missense SNPs (nsSNPs) in CPE, GNAS genes and experimental validation in type II diabetes mellitus through Next Generation Sequencing. Genomics 2021; 113:2426-2440. [PMID: 34029697 DOI: 10.1016/j.ygeno.2021.05.022] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/13/2020] [Revised: 12/11/2020] [Accepted: 05/19/2021] [Indexed: 12/12/2022]
Abstract
Non-synonymous missense SNPs (nsSNPs) in CPE and GNAS genes were investigated computationally. In silico identified nsSNPs were experimentally validated in type II diabetes mellitus (T2DM) in Pakistani Pathan population using next generation sequencing (NGS). Sixty two high-risk nsSNPs in CPE and 44 in GNAS were identified. Only 12 in GNAS were clinically significant. Thirty six high-risk nsSNPs in CPE and 08 clinically significant nsSNPs in GNAS lies in the most conserved regions. I-mutant predicted that nsSNPs decrease the proteins stability and ModPred predicted 20 and 12 post-translational modification sites in CPE and GNAS proteins respectively. Ramachandran plot showed 88.7% residues are in the most favored region of protein models. By experimentation, none of the nsSNPs were found to be associated with T2DM. In conclusion, this study differentiates the deleterious nsSNPs from the neutral ones. Although nsSNPs are not associated with T2DM, they can be targeted in other CPE and GNAS genes related disorders.
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Affiliation(s)
- Bibi Sabiha
- Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), H-12 Islamabad, Pakistan
| | - Attya Bhatti
- Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), H-12 Islamabad, Pakistan.
| | - Sohaib Roomi
- Department of Biosciences, COMSATS University Islamabad, Islamabad, Pakistan
| | - Peter John
- Healthcare Biotechnology, Atta-ur-Rahman School of Applied Biosciences (ASAB), National University of Sciences and Technology (NUST), H-12 Islamabad, Pakistan
| | - Johar Ali
- Center for Genome Sciences, Rehman Medical College, Phase-V, Hayatabad, Peshawar, Khyber Pakhtunkhwa, Pakistan
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