Academic Journal
Human Islet miR-199a-5p and miR-214-3p Associate With Donor Age, BMI, and Sex and Mediate Cellular Aging in Islet-Derived Cells.
| Τίτλος: | Human Islet miR-199a-5p and miR-214-3p Associate With Donor Age, BMI, and Sex and Mediate Cellular Aging in Islet-Derived Cells. |
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| Συγγραφείς: | Wong WKM; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia., El-Azzi I; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia., Nachanekar A; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia., Alvandi E; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia., Pham NHT; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia., Hardikar HP; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia., Polkamp M; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia., Saini V; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia., Cheng F; Health Medicine Center, The Second Affiliated Hospital of Chongqing Medical University, Chongqing Medical University, Chongqing, China., Jiang G; Department of Medicine and Therapeutics, And Hong Kong Institute of Diabetes and Obesity, and Li Ka Shing Institute of Health Sciences, the Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong (Special Administrative Region), China.; School of Public Health (Shenzhen), Shenzhen Campus of Sun Yat-Sen University, Shenzhen, Guangdong, China., Sørensen AE; Department of Science and Environment, Roskilde University, Roskilde, Denmark., Chew YV; Centre for Transplant and Renal Research, Westmead Institute for Medical Research (WIMR), University of Sydney, Westmead, New South Wales, Australia., Thomas HE; Immunology and Diabetes Group, St. Vincent's Institute (SVI) for Medical Research, Fitzroy, Victoria, Australia., Loudovaris T; Immunology and Diabetes Group, St. Vincent's Institute (SVI) for Medical Research, Fitzroy, Victoria, Australia., Ma RCW; Department of Medicine and Therapeutics, And Hong Kong Institute of Diabetes and Obesity, and Li Ka Shing Institute of Health Sciences, the Chinese University of Hong Kong, Prince of Wales Hospital, Hong Kong (Special Administrative Region), China., Hawthorne WJ; Centre for Transplant and Renal Research, Westmead Institute for Medical Research (WIMR), University of Sydney, Westmead, New South Wales, Australia., Dalgaard LT; Department of Science and Environment, Roskilde University, Roskilde, Denmark., Joglekar MV; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia., Hardikar AA; Diabetes & Islet Biology Group, School of Medicine, Western Sydney University, Campbelltown, New South Wales, Australia.; Department of Science and Environment, Roskilde University, Roskilde, Denmark. |
| Πηγή: | Acta physiologica (Oxford, England) [Acta Physiol (Oxf)] 2026 Aug; Vol. 242 (8), pp. e70277. |
| Τύπος έκδοσης: | Journal Article |
| Γλώσσα: | English |
| Στοιχεία περιοδικού: | Publisher: Wiley-Blackwell Country of Publication: England NLM ID: 101262545 Publication Model: Print Cited Medium: Internet ISSN: 1748-1716 (Electronic) Linking ISSN: 17481708 NLM ISO Abbreviation: Acta Physiol (Oxf) Subsets: MEDLINE |
| Imprint Name(s): | Publication: Oxford : Wiley-Blackwell Original Publication: Oxford : Blackwell Pub., c2006-4 |
| Ιατρικοί όροι (MeSH): | MicroRNAs*/metabolism , MicroRNAs*/genetics , Islets of Langerhans*/metabolism , Islets of Langerhans*/cytology , Cellular Senescence*/physiology , Cellular Senescence*/genetics , Body Mass Index*, Humans ; Female ; Male ; Adult ; Middle Aged ; Aged ; Age Factors ; Sex Factors ; Tissue Donors |
| Περίληψη: | Objectives: Human islets are widely researched to understand pathophysiological mechanisms leading to diabetes. Sex, age, and body mass index (BMI) are key donor traits influencing islet function, which is also regulated by an intricate network of microRNAs. Methods: Here, we profiled 754 microRNAs and 58 191 gene transcripts (19 919 protein-coding) in up to 131 different human islet donor preparations (without diabetes) and assessed their association with donor traits. Additionally, the effect of the age-associated key microRNAs on relative telomere length in human islet-derived cells was evaluated. Results: MicroRNA discovery analyses identified miR-199a-5p and miR-214-3p to be associated (adjusted p-value ≤ 0.05) with all three traits (i.e., sex, age, and BMI); miR-147b-3p with sex and age; miR-378a-5p with sex and BMI; miR-542-3p, miR-34a-3p, miR-34a-5p, miR-497-5p and miR-99a-5p with age and BMI. After adjusting for covariates, 612 protein-coding gene transcripts associated with sex (excluding those from sex-chromosomes), 902 with age, and 250 with BMI. MicroRNA-199a-5p and miR-214-3p levels negatively correlated with mRNAs critical in islet function, metabolic regulation, and senescence. In vitro validation studies verified that inhibition of two common microRNAs (miR-199a-5p/-214-3p) slowed down telomere length shortening in human islet-derived cells. Conclusions: Our analyses identify human islet microRNAs associated with donor traits and provide evidence that these microRNAs can potentially modulate cellular aging phenotype (reflected by relative telomere length) in human islet-derived cells. (© 2026 The Author(s). Acta Physiologica published by John Wiley & Sons Ltd on behalf of Scandinavian Physiological Society.) |
| References: | B. Tramunt, S. Smati, N. Grandgeorge, et al., “Sex Differences in Metabolic Regulation and Diabetes Susceptibility,” Diabetologia 63, no. 3 (2020): 453–461. E. Selvin and C. M. Parrinello, “Age‐Related Differences in Glycaemic Control in Diabetes,” Diabetologia 56, no. 12 (2013): 2549–2551. A. Abbasi, D. Juszczyk, C. H. M. van Jaarsveld, and M. C. Gulliford, “Body Mass Index and Incident Type 1 and Type 2 Diabetes in Children and Young Adults: A Retrospective Cohort Study,” Journal of the Endocrine Society 1, no. 5 (2017): 524–537. M. Gannon, R. N. Kulkarni, H. M. Tse, and F. Mauvais‐Jarvis, “Sex Differences Underlying Pancreatic Islet Biology and Its Dysfunction,” Molecular Metabolism 15 (2018): 82–91. W. Xu, L. Schiffer, M. M. F. Qadir, et al., “Intracrine Testosterone Activation in Human Pancreatic Beta‐Cells Stimulates Insulin Secretion,” Diabetes 69, no. 11 (2020): 2392–2399. G. Navarro, W. Xu, D. A. Jacobson, et al., “Extranuclear Actions of the Androgen Receptor Enhance Glucose‐Stimulated Insulin Secretion in the Male,” Cell Metabolism 23, no. 5 (2016): 837–851. E. Hall, P. Volkov, T. Dayeh, et al., “Sex Differences in the Genome‐Wide DNA Methylation Pattern and Impact on Gene Expression, microRNA Levels and Insulin Secretion in Human Pancreatic Islets,” Genome Biology 15, no. 12 (2014): 522. K. Bacos, L. Gillberg, P. Volkov, et al., “Blood‐Based Biomarkers of Age‐Associated Epigenetic Changes in Human Islets Associate With Insulin Secretion and Diabetes,” Nature Communications 7 (2016): 11089. S. H. Ihm, I. Matsumoto, T. Sawada, et al., “Effect of Donor Age on Function of Isolated Human Islets,” Diabetes 55, no. 5 (2006): 1361–1368. H. Mizukami, K. Takahashi, W. Inaba, et al., “Age‐Associated Changes of Islet Endocrine Cells and the Effects of Body Mass Index in Japanese,” Journal of Diabetes Investigation 5, no. 1 (2014): 38–47. M. J. Westacott, N. L. Farnsworth, J. R. St Clair, et al., “Age‐Dependent Decline in the Coordinated [ca2+] and Insulin Secretory Dynamics in Human Pancreatic Islets,” Diabetes 66, no. 9 (2017): 2436–2445. G. Jiang, A. O. Luk, C. H. T. Tam, et al., “Obesity, Clinical, and Genetic Predictors for Glycemic Progression in Chinese Patients With Type 2 Diabetes: A Cohort Study Using the Hong Kong Diabetes Register and Hong Kong Diabetes Biobank,” PLoS Medicine 17, no. 7 (2020): e1003209. K. Zhou, L. A. Donnelly, A. D. Morris, et al., “Clinical and Genetic Determinants of Progression of Type 2 Diabetes: A DIRECT Study,” Diabetes Care 37, no. 3 (2014): 718–724. W. He, T. Yuan, and K. Maedler, “Macrophage‐Associated Pro‐Inflammatory State in Human Islets From Obese Individuals,” Nutrition & Diabetes 9, no. 1 (2019): 36. P. Seiron, A. Stenwall, A. Hedin, et al., “Transcriptional Analysis of Islets of Langerhans From Organ Donors of Different Ages,” PLoS One 16, no. 3 (2021): e0247888. D. Avrahami, Y. J. Wang, J. Schug, et al., “Single‐Cell Transcriptomics of Human Islet Ontogeny Defines the Molecular Basis of Beta‐Cell Dedifferentiation in T2D,” Molecular Metabolism 42 (2020): 101057. O. Asplund, P. Storm, V. Chandra, et al., “Islet Gene View‐A Tool to Facilitate Islet Research,” Life Science Alliance 5, no. 12 (2022): e202201376. K. Tugay, C. Guay, A. C. Marques, et al., “Role of microRNAs in the Age‐Associated Decline of Pancreatic Beta Cell Function in Rat Islets,” Diabetologia 59, no. 1 (2016): 161–169. H. J. Taylor, Y. H. Hung, N. Narisu, et al., “Human Pancreatic Islet microRNAs Implicated in Diabetes and Related Traits by Large‐Scale Genetic Analysis,” Proceedings of the National Academy of Sciences of the United States of America 120, no. 7 (2023): e2206797120. L. Alonso, A. Piron, I. Moran, et al., “TIGER: The Gene Expression Regulatory Variation Landscape of Human Pancreatic Islets,” Cell Reports 37, no. 2 (2021): 109807. J. O'Brien, H. Hayder, Y. Zayed, and C. Peng, “Overview of MicroRNA Biogenesis, Mechanisms of Actions, and Circulation,” Frontiers in Endocrinology 9 (2018): 402. M. R. Fabian, N. Sonenberg, and W. Filipowicz, “Regulation of mRNA Translation and Stability by microRNAs,” Annual Review of Biochemistry 79 (2010): 351–379. M. C. Gershengorn, A. A. Hardikar, C. Wei, E. Geras‐Raaka, B. Marcus‐Samuels, and B. M. Raaka, “Epithelial‐To‐Mesenchymal Transition Generates Proliferative Human Islet Precursor Cells,” Science 306, no. 5705 (2004): 2261–2264. M. V. Joglekar and A. A. Hardikar, “Isolation, Expansion, and Characterization of Human Islet‐Derived Progenitor Cells,” Methods in Molecular Biology 879 (2012): 351–366. M. V. Joglekar, S. N. Satoor, W. K. M. Wong, F. Cheng, R. C. W. Ma, and A. A. Hardikar, “An Optimised Step‐By‐Step Protocol for Measuring Relative Telomere Length,” Methods and Protocols 3, no. 2 (2020): 27. R. C. Allsopp, E. Chang, M. Kashefi‐Aazam, et al., “Telomere Shortening Is Associated With Cell Division In Vitro and In Vivo,” Experimental Cell Research 220, no. 1 (1995): 194–200. M. Cabiati, E. Randazzo, C. Salvadori, D. Peroni, G. Federico, and S. Del Ry, “Circulating microRNAs Associated With C‐Type Natriuretic Peptide in Childhood Obesity,” Peptides 133 (2020): 170387. Y. Li, Y. Luan, J. Li, et al., “Exosomal miR‐199a‐5p Promotes Hepatic Lipid Accumulation by Modulating MST1 Expression and Fatty Acid Metabolism,” Hepatology International 14, no. 6 (2020): 1057–1074. M. C. Zillikens, S. Demissie, Y. H. Hsu, et al., “Large Meta‐Analysis of Genome‐Wide Association Studies Identifies Five Loci for Lean Body Mass,” Nature Communications 8, no. 1 (2017): 80. L. Liao, P. Tao, Q. Xu, et al., “TRIM6 Promotes ROS‐Mediated Inflammasome Activation and Pyroptosis in Renal Tubular Epithelial Cells via Ubiquitination and Degradation of GPX3 Protein,” Frontiers in Bioscience (Landmark edition) 29, no. 2 (2024): 58. Z. Zhang, L. Zhang, B. Wang, et al., “RNF144B Inhibits LPS‐Induced Inflammatory Responses via Binding TBK1,” Journal of Leukocyte Biology 106, no. 6 (2019): 1303–1311. C. Wu, C. Lv, F. Chen, X. Ma, Y. Shao, and Q. Wang, “The Function of miR‐199a‐5p/Klotho Regulating TLR4/NF‐kappaB p65/NGAL Pathways in Rat Mesangial Cells Cultured With High Glucose and the Mechanism,” Molecular and Cellular Endocrinology 417 (2015): 84–93. N. Suda, A. Bartolome, J. Liang, et al., “Beta‐Cell Jagged1 Is Sufficient but Not Necessary for Islet Notch Activity and Insulin Secretory Defects in Obese Mice,” Molecular Metabolism 81 (2024): 101894. P. Lillo Urzua, O. Nunez Murillo, M. Castro‐Sepulveda, et al., “Loss of Caveolin‐1 Is Associated With a Decrease in Beta Cell Death in Mice on a High Fat Diet,” International Journal of Molecular Sciences 21, no. 15 (2020): 5225. A. L. Yu, K. Birke, J. Moriniere, and U. Welge‐Lussen, “TGF‐beta2 Induces Senescence‐Associated Changes in Human Trabecular Meshwork Cells,” Investigative Ophthalmology & Visual Science 51, no. 11 (2010): 5718–5723. Z. Izadi, E. Hajizadeh‐Saffar, J. Hadjati, et al., “Tolerance Induction by Surface Immobilization of Jagged‐1 for Immunoprotection of Pancreatic Islets,” Biomaterials 182 (2018): 191–201. J. A. Shin, O. K. Hong, H. J. Lee, et al., “Transforming Growth Factor‐Beta Induces Epithelial to Mesenchymal Transition and Suppresses the Proliferation and Transdifferentiation of Cultured Human Pancreatic Duct Cells,” Journal of Cellular Biochemistry 112, no. 1 (2011): 179–188. F. Cheng, G. Yuan, J. He, Y. Shao, J. Zhang, and X. Guo, “Aberrant Expression of miR‐214 Is Associated With Obesity‐Induced Insulin Resistance as a Biomarker and Therapeutic,” Diagnostic Pathology 15, no. 1 (2020): 18. K. Li, J. Zhang, J. Yu, et al., “MicroRNA‐214 Suppresses Gluconeogenesis by Targeting Activating Transcriptional Factor 4,” Journal of Biological Chemistry 290, no. 13 (2015): 8185–8195. M. A. Kebede, A. T. Oler, T. Gregg, et al., “SORCS1 Is Necessary for Normal Insulin Secretory Granule Biogenesis in Metabolically Stressed Beta Cells,” Journal of Clinical Investigation 124, no. 10 (2014): 4240–4256. A. Hamilton, Q. Zhang, A. Salehi, et al., “Adrenaline Stimulates Glucagon Secretion by Tpc2‐Dependent Ca2+ Mobilization From Acidic Stores in Pancreatic Alpha‐Cells,” Diabetes 67, no. 6 (2018): 1128–1139. R. C. Cooksey, H. A. Jouihan, R. S. Ajioka, et al., “Oxidative Stress, Beta‐Cell Apoptosis, and Decreased Insulin Secretory Capacity in Mouse Models of Hemochromatosis,” Endocrinology 145, no. 11 (2004): 5305–5312. O. C. Maes, J. An, H. Sarojini, and E. Wang, “Murine microRNAs Implicated in Liver Functions and Aging Process,” Mechanisms of Ageing and Development 129, no. 9 (2008): 534–541. M. V. Joglekar, V. S. Parekh, and A. A. Hardikar, “New Pancreas From Old: Microregulators of Pancreas Regeneration,” Trends in Endocrinology and Metabolism 18, no. 10 (2007): 393–400. R. Miglionico, A. Ostuni, M. F. Armentano, et al., “ABCC6 Knockdown in HepG2 Cells Induces a Senescent‐Like Cell Phenotype,” Cellular & Molecular Biology Letters 22 (2017): 7. Y. Feng, P. Wan, and L. Yin, “Long Noncoding RNA X‐Inactive Specific Transcript (XIST) Promotes Osteogenic Differentiation of Periodontal Ligament Stem Cells by Sponging MicroRNA‐214‐3p,” Medical Science Monitor 26 (2020): e918932. G. Navarro, C. Allard, W. Xu, and F. Mauvais‐Jarvis, “The Role of Androgens in Metabolism, Obesity, and Diabetes in Males and Females,” Obesity (Silver Spring) 23, no. 4 (2015): 713–719. B. F. Chen, Y. K. Suen, S. Gu, L. Li, and W. Y. Chan, “A miR‐199a/miR‐214 Self‐Regulatory Network via PSMD10, TP53 and DNMT1 in Testicular Germ Cell Tumor,” Scientific Reports 4 (2014): 6413. H. C. Stevens, L. Deng, J. S. Grant, et al., “Regulation and Function of miR‐214 in Pulmonary Arterial Hypertension,” Pulmonary Circulation 6, no. 1 (2016): 109–117. Y. B. Lee, I. Bantounas, D. Y. Lee, L. Phylactou, M. A. Caldwell, and J. B. Uney, “Twist‐1 Regulates the miR‐199a/214 Cluster During Development,” Nucleic Acids Research 37, no. 1 (2009): 123–128. Y. Okazaki, S. H. Chew, H. Nagai, et al., “Overexpression of miR‐199/214 Is a Distinctive Feature of Iron‐Induced and Asbestos‐Induced Sarcomatoid Mesothelioma in Rats,” Cancer Science 111, no. 6 (2020): 2016–2027. M. Che, T. Shi, S. Feng, et al., “The MicroRNA‐199a/214 Cluster Targets E‐Cadherin and Claudin‐2 and Promotes High Glucose‐Induced Peritoneal Fibrosis,” Journal of the American Society of Nephrology: JASN 28, no. 8 (2017): 2459–2471. C. J. Messner, S. Schmidt, D. Özkul, et al., “Identification of miR‐199a‐5p, miR‐214‐3p and miR‐99b‐5p as Fibrosis‐Specific Extracellular Biomarkers and Promoters of HSC Activation,” International Journal of Molecular Sciences 22, no. 18 (2021): 9799. S. T. Pittenger, V. L. Schaal, D. Moore, et al., “MicroRNA Cluster miR199a/214 Are Differentially Expressed in Female and Male Rats Following Nicotine Self‐Administration,” Scientific Reports 8, no. 1 (2018): 17464. A. Chakrabarty, S. Tranguch, T. Daikoku, K. Jensen, H. Furneaux, and S. K. Dey, “MicroRNA Regulation of Cyclooxygenase‐2 During Embryo Implantation,” Proceedings of the National Academy of Sciences of the United States of America 104, no. 38 (2007): 15144–15149. C. P. Morgan and T. L. Bale, “Sex Differences in microRNA Regulation of Gene Expression: No Smoke, Just miRs,” Biology of Sex Differences 3, no. 1 (2012): 22. S. Shi, X. Zhou, J. Li, et al., “MiR‐214‐3p Promotes Proliferation and Inhibits Estradiol Synthesis in Porcine Granulosa Cells,” Journal of Animal Science and Biotechnology 11 (2020): 94. L. He, M. Tang, T. Xiao, et al., “Obesity‐Associated miR‐199a/214 Cluster Inhibits Adipose Browning via PRDM16‐PGC‐1alpha Transcriptional Network,” Diabetes 67, no. 12 (2018): 2585–2600. M. J. Harms, J. Ishibashi, W. Wang, et al., “Prdm16 Is Required for the Maintenance of Brown Adipocyte Identity and Function in Adult Mice,” Cell Metabolism 19, no. 4 (2014): 593–604. T. Sugiyama, C. M. Benitez, A. Ghodasara, et al., “Reconstituting Pancreas Development From Purified Progenitor Cells Reveals Genes Essential for Islet Differentiation,” Proceedings of the National Academy of Sciences of the United States of America 110, no. 31 (2013): 12691–12696. A. J. Matamoros, V. J. Tom, D. Wu, Y. Rao, D. J. Sharp, and P. W. Baas, “Knockdown of Fidgetin Improves Regeneration of Injured Axons by a Microtubule‐Based Mechanism,” Journal of Neuroscience 39, no. 11 (2019): 2011–2024. L. Shi, Q. Han, Y. Hong, et al., “Inhibition of miR‐199a‐5p Rejuvenates Aged Mesenchymal Stem Cells Derived From Patients With Idiopathic Pulmonary Fibrosis and Improves Their Therapeutic Efficacy in Experimental Pulmonary Fibrosis,” Stem Cell Research & Therapy 12, no. 1 (2021): 147. Y. L. Chen, J. J. Sheu, C. K. Sun, T. H. Huang, Y. P. Lin, and H. K. Yip, “MicroRNA‐214 Modulates the Senescence of Vascular Smooth Muscle Cells in Carotid Artery Stenosis,” Molecular Medicine 26, no. 1 (2020): 46. N. Li, S. Muthusamy, R. Liang, H. Sarojini, and E. Wang, “Increased Expression of miR‐34a and miR‐93 in Rat Liver During Aging, and Their Impact on the Expression of Mgst1 and Sirt1,” Mechanisms of Ageing and Development 132, no. 3 (2011): 75–85. M. R. Rippo, F. Olivieri, V. Monsurro, F. Prattichizzo, M. C. Albertini, and A. D. Procopio, “MitomiRs in Human Inflamm‐Aging: A Hypothesis Involving miR‐181a, miR‐34a and miR‐146a,” Experimental Gerontology 56 (2014): 154–163. K. Bouzakri, C. Veyrat‐Durebex, C. Holterman, et al., “Beta‐Cell‐Specific Expression of Nicotinamide Adenine Dinucleotide Phosphate Oxidase 5 Aggravates High‐Fat Diet‐Induced Impairment of Islet Insulin Secretion in Mice,” Antioxidants & Redox Signaling 32, no. 9 (2020): 618–635. T. Kiba and Y. Ishigaki, “Ventromedial Hypothalamic Lesions Change the Expression of Cell Proliferation‐Related Genes and Morphology‐Related Genes in Rat Pancreatic Islets,” Islets 6, no. 5–6 (2014): e1012950. G. P. Brownrigg, Y. H. Xia, C. M. J. Chu, et al., “Sex Differences in Islet Stress Responses Support Female Beta Cell Resilience,” Molecular Metabolism 69 (2023): 101678. A. Pal, T. P. Potjer, S. K. Thomsen, et al., “Loss‐Of‐Function Mutations in the Cell‐Cycle Control Gene CDKN2A Impact on Glucose Homeostasis in Humans,” Diabetes 65, no. 2 (2016): 527–533. Y. Kong, R. B. Sharma, S. Ly, R. E. Stamateris, W. M. Jesdale, and L. C. Alonso, “CDKN2A/B T2D Genome‐Wide Association Study Risk SNPs Impact Locus Gene Expression and Proliferation in Human Islets,” Diabetes 67, no. 5 (2018): 872–884. J. Geist and A. Kontrogianni‐Konstantopoulos, “MYBPC1, an Emerging Myopathic Gene: What we Know and What we Need to Learn,” Frontiers in Physiology 7 (2016): 410. J. Inoue, Y. Ihara, D. Tsukamoto, et al., “Identification of BCL11B as a Regulator of Adipogenesis,” Scientific Reports 6 (2016): 32750. P. J. D. Elder, D. B. Ramsden, D. Burnett, M. O. Weickert, and T. M. Barber, “Human Amylase Gene Copy Number Variation as a Determinant of Metabolic State,” Expert Review of Endocrinology and Metabolism 13, no. 4 (2018): 193–205. J. A. Pearson, H. Ding, C. Hu, et al., “IgM‐Associated Gut Bacteria in Obesity and Type 2 Diabetes in C57BL/6 Mice and Humans,” Diabetologia 65, no. 8 (2022): 1398–1411. O. Barbier, I. P. Torra, A. Sirvent, et al., “FXR Induces the UGT2B4 Enzyme in Hepatocytes: A Potential Mechanism of Negative Feedback Control of FXR Activity,” Gastroenterology 124, no. 7 (2003): 1926–1940. W. Wagner, S. Bork, P. Horn, et al., “Aging and Replicative Senescence Have Related Effects on Human Stem and Progenitor Cells,” PLoS One 4, no. 6 (2009): e5846. M. V. Joglekar, P. M. Trivedi, T. W. Kay, et al., “Human Islet Cells Are Killed by BID‐Independent Mechanisms in Response to FAS Ligand,” Apoptosis 21, no. 4 (2016): 379–389. M. V. Joglekar, V. M. Joglekar, S. V. Joglekar, and A. A. Hardikar, “Human Fetal Pancreatic Insulin‐Producing Cells Proliferate In Vitro,” Journal of Endocrinology 201, no. 1 (2009): 27–36. W. Tao, Y. Hong, H. He, et al., “MicroRNA‐199a‐5p Aggravates Angiotensin II‐Induced Vascular Smooth Muscle Cell Senescence by Targeting Sirtuin‐1 in Abdominal Aortic Aneurysm,” Journal of Cellular and Molecular Medicine 25, no. 13 (2021): 6056–6069. D. Li, J. Liu, B. Guo, et al., “Osteoclast‐Derived Exosomal miR‐214‐3p Inhibits Osteoblastic Bone Formation,” Nature Communications 7 (2016): 10872. Z. Guo, J. Li, J. Tan, S. Sun, Q. Yan, and H. Qin, “Exosomal miR‐214‐3p From Senescent Osteoblasts Accelerates Endothelial Cell Senescence,” Journal of Orthopaedic Surgery and Research 18, no. 1 (2023): 391. V. Vaithilingam, N. Quayum, M. V. Joglekar, et al., “Effect of Alginate Encapsulation on the Cellular Transcriptome of Human Islets,” Biomaterials 32, no. 33 (2011): 8416–8425. L. Ouziel‐Yahalom, M. Zalzman, L. Anker‐Kitai, et al., “Expansion and Redifferentiation of Adult Human Pancreatic Islet Cells,” Biochemical and Biophysical Research Communications 341, no. 2 (2006): 291–298. A. Lechner, A. L. Nolan, R. A. Blacken, and J. F. Habener, “Redifferentiation of Insulin‐Secreting Cells After In Vitro Expansion of Adult Human Pancreatic Islet Tissue,” Biochemical and Biophysical Research Communications 327, no. 2 (2005): 581–588. M. Enge, H. E. Arda, M. Mignardi, et al., “Single‐Cell Analysis of Human Pancreas Reveals Transcriptional Signatures of Aging and Somatic Mutation Patterns,” Cell 171, no. 2 (2017): 321–330.e14. M. V. Joglekar, C. Wei, and A. A. Hardikar, “Quantitative Estimation of Multiple miRNAs and mRNAs From a Single Cell,” Cold Spring Harbor Protocols 5, no. 8 (2010): 5478. M. V. Joglekar, V. M. Joglekar, and A. A. Hardikar, “Expression of Islet‐Specific microRNAs During Human Pancreatic Development,” Gene Expression Patterns 9, no. 2 (2009): 109–113. W. K. M. Wong, M. V. Joglekar, V. Saini, et al., “Machine Learning Workflows Identify a microRNA Signature of Insulin Transcription in Human Tissues,” iScience 24, no. 4 (2021): 102379. W. K. Wong, G. Jiang, A. E. Sorensen, et al., “The Long Noncoding RNA MALAT1 Predicts Human Pancreatic Islet Isolation Quality,” JCI Insight 5 (2019): e129299. M. V. Joglekar, S. Sahu, W. K. Wong, et al., “A Pro‐Endocrine Pancreatic Transcriptional Program Established During Development is Retained in Human Gallbladder Epithelial Cells,” Cellular and Molecular Gastroenterology and Hepatology 13, no. 5 (2021): 1530–1553.e4. W. Wong, R. Farr, M. Joglekar, A. Januszewski, and A. Hardikar, “Probe‐Based Real‐Time PCR Approaches for Quantitative Measurement of microRNAs,” Journal of Visualized Experiments 98 (2015): 52586. A. A. Hardikar, R. J. Farr, and M. V. Joglekar, “Circulating microRNAs: Understanding the Limits for Quantitative Measurement by Real‐Time PCR,” Journal of the American Heart Association 3, no. 1 (2014): e000792. V. Saini, M. V. Joglekar, W. K. M. Wong, et al., “Manipulating Cellular microRNAs and Analyzing High‐Dimensional Gene Expression Data Using Machine Learning Workflows,” STAR Protocols 2, no. 4 (2021): 100910. V. Agarwal, G. W. Bell, J. W. Nam, and D. P. Bartel, “Predicting Effective microRNA Target Sites in Mammalian mRNAs,” eLife 4 (2015): 4. H. Mi, D. Ebert, A. Muruganujan, et al., “PANTHER Version 16: A Revised Family Classification, Tree‐Based Classification Tool, Enhancer Regions and Extensive API,” Nucleic Acids Research 49, no. D1 (2021): D394–D403. |
| Grant Information: | FT110100254 Australian Research Council Future Fellowship; JDRF/4-CDA2016-228-MB United States JDRF Breakthrough T1D; 3-PDF-2023-1324-A-N United States JDRF Breakthrough T1D; FLACK-2016-17 Marian and E.H. Flack Trust; NNF17SA0031406 Novo Nordisk Fonden; Leona M. and Harry B. Helmsley Charitable Trust; Western Sydney University and Ainsworth Foundation; T12-402/13N Research Grants Council (RGC) of Hong Kong; R4012-18 Research Grants Council (RGC) of Hong Kong; Chinese University of Hong Kong; Rebecca L. Cooper Medical Research Foundation; Ingham Institute for Applied Medical Research; Australian Government Research Training Program Scholarship; Danish Diabetes & Endocrine Academy; Government of Victoria |
| Contributed Indexing: | Keywords: BMI; age; islet; mRNA; microRNA; sex |
| Substance Nomenclature: | 0 (MicroRNAs) 0 (mirn199 microRNA, human) 0 (MIRN214 microRNA, human) |
| Entry Date(s): | Date Created: 20260726 Date Completed: 20260726 Latest Revision: 20260728 |
| Update Code: | 20260728 |
| PubMed Central ID: | PMC13401865 |
| DOI: | 10.1111/apha.70277 |
| PMID: | 42502989 |
| Βάση Δεδομένων: | MEDLINE |
| ISSN: | 1748-1716 |
|---|---|
| DOI: | 10.1111/apha.70277 |