Deng Y, Moniruzzaman M, Rogers B, Hu L, Jagannathan R, Tamura K
Prev Med Rep. 2025; 50:102957.
PMID: 40007950
PMC: 11852695.
DOI: 10.1016/j.pmedr.2024.102957.
Nie Q, Jin X, Mu Y, Huang Y, Dong A
Front Endocrinol (Lausanne). 2025; 16:1507107.
PMID: 39963280
PMC: 11830579.
DOI: 10.3389/fendo.2025.1507107.
Flores-Verastegui M, Coe S, Tammam J, Almahjoubi H, Bridle R, Bi S
Nutrients. 2025; 17(3).
PMID: 39940297
PMC: 11821054.
DOI: 10.3390/nu17030441.
Cabrera-Rode E, Diaz-Diaz O, Orlandi Gonzalez N, Ronald M
Rev Peru Med Exp Salud Publica. 2025; 41(4):351-364.
PMID: 39936758
PMC: 11797583.
DOI: 10.17843/rpmesp.2024.414.14138.
Bhushan R, Trivedi R, Raj R, Rani A, Rai S, Tripathi A
Sci Rep. 2025; 15(1):4159.
PMID: 39905161
PMC: 11794551.
DOI: 10.1038/s41598-025-88485-4.
Prediabetes risk classification algorithm carotid bodies and K-means clustering technique.
Pinheiro R, Guarino M, Lages M, Fonseca-Pinto R
PeerJ Comput Sci. 2025; 11:e2516.
PMID: 39896030
PMC: 11784710.
DOI: 10.7717/peerj-cs.2516.
Novel Micro-Ribonucleic Acid Biomarkers for Early Detection of Type 2 Diabetes Mellitus and Associated Complications-A Literature Review.
Ahmed S, Adnan H, Khawaja M, Butler A
Int J Mol Sci. 2025; 26(2).
PMID: 39859467
PMC: 11765584.
DOI: 10.3390/ijms26020753.
Performance of the 1 h oral glucose tolerance test in predicting type 2 diabetes and association with impaired β-cell function in Asians: a national prospective cohort study.
Lee M, Febriana E, Lim M, Baig S, Shen L, Dalakoti M
Lancet Reg Health West Pac. 2025; 54():101278.
PMID: 39840148
PMC: 11750441.
DOI: 10.1016/j.lanwpc.2024.101278.
Social isolation increases impulsive choice with minor changes on metabolic function in middle-aged rats.
Venegas J, Weisz J, Choi C, Herringshaw R, Nabelsi O, Liang N
Physiol Rep. 2025; 13(2):e70184.
PMID: 39821966
PMC: 11738651.
DOI: 10.14814/phy2.70184.
Predictive value of machine learning for the progression of gestational diabetes mellitus to type 2 diabetes: a systematic review and meta-analysis.
Zhao M, Yao Z, Zhang Y, Ma L, Pang W, Ma S
BMC Med Inform Decis Mak. 2025; 25(1):18.
PMID: 39806461
PMC: 11727323.
DOI: 10.1186/s12911-024-02848-x.
Prediction of metabolic subphenotypes of type 2 diabetes via continuous glucose monitoring and machine learning.
Metwally A, Perelman D, Park H, Wu Y, Jha A, Sharp S
Nat Biomed Eng. 2024; .
PMID: 39715896
DOI: 10.1038/s41551-024-01311-6.
SPISE INDEX (Single point insulin sensitivity estimator): indicator of insulin resistance in children and adolescents with overweight and obesity.
Tantari G, Bassi M, Pistorio A, Minuto N, Napoli F, Piccolo G
Front Endocrinol (Lausanne). 2024; 15:1439901.
PMID: 39649219
PMC: 11620851.
DOI: 10.3389/fendo.2024.1439901.
Suppression of the postprandial hyperglycemia in patients with type 2 diabetes by a raw medicinal herb powder is weakened when consumed in ordinary hard gelatin capsules: A randomized crossover clinical trial.
Moreira F, Reis C, Gallassi A, Moreira D, Welker A
PLoS One. 2024; 19(10):e0311501.
PMID: 39383145
PMC: 11463819.
DOI: 10.1371/journal.pone.0311501.
Effects of Mung Bean Water Supplementation on Modulating Lipid and Glucose Metabolism in a Diabetic Rat Model.
Huang C, Chen J, Chiang M
Nutrients. 2024; 16(16).
PMID: 39203819
PMC: 11357625.
DOI: 10.3390/nu16162684.
Assessing anti oxidant, antidiabetic potential and GCMS profiling of ethanolic root bark extract of Zanthoxylum rhetsa (Roxb.) DC: Supported by in vitro, in vivo and in silico molecular modeling.
Barman A, Mahadi S, Hossain M, Begum R, Acharyya R, Alam M
PLoS One. 2024; 19(8):e0304521.
PMID: 39159188
PMC: 11332921.
DOI: 10.1371/journal.pone.0304521.
Predicting Type 2 Diabetes Metabolic Phenotypes Using Continuous Glucose Monitoring and a Machine Learning Framework.
Metwally A, Perelman D, Park H, Wu Y, Jha A, Sharp S
medRxiv. 2024; .
PMID: 39108516
PMC: 11302614.
DOI: 10.1101/2024.07.20.24310737.
Cardiovascular risk, fatty liver disease, glucose and insulin curve among prediabetes phenotypes in Peruvian population.
Rocca-Nacion J, Calderon M
Am J Med Open. 2024; 7:100007.
PMID: 39035828
PMC: 11256264.
DOI: 10.1016/j.ajmo.2022.100007.
Myths and methodologies: Assessing glycaemic control and associated regulatory mechanisms in human physiology research.
Wrench E, Subar D, Bampouras T, Lauder R, Gaffney C
Exp Physiol. 2024; 109(9):1461-1477.
PMID: 39014995
PMC: 11363129.
DOI: 10.1113/EP091433.
The relationship between heart rate variability and glucose clearance in healthy men and women.
Nickel A, Buresh R, McLester C, Canino A, Wilner G, Vaughan K
PLoS One. 2024; 19(6):e0303346.
PMID: 38837971
PMC: 11152311.
DOI: 10.1371/journal.pone.0303346.
Multilevel functional data analysis modeling of human glucose response to meal intake.
Matabuena M, Sartini J
ArXiv. 2024; .
PMID: 38827463
PMC: 11142320.