Evidence map›Paper›PMID 42227378›Full record

ArticleEndocrine, metabolic & immune disorders drug targets2026

Comparison of Islet Function in People With Different Glucose Metabolic States.

Guiling Li, Yixian Liu, Xiaoxuan Liu, Huijing Luo, Huimin Zhou, Xu Huang, Qian He, Jinhong Li, Yanv Ren, Xiaofang Zhang and 1 more

Abstract readComparative Study
In one paragraph

Article in Endocrine, metabolic & immune disorders drug targets, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Guiling LiDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, No.154 Anshan Road, Heping District, Tianjin 300052, China.
Yixian LiuBacteriological Disease Prevention and Disinfection Institute, Hebei Province Center for Disease Prevention and Control, No. 97 Huai'an Donglu, Shijiazhuang 050021, Hebei, China.
Xiaoxuan LiuDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, No.154 Anshan Road, Heping District, Tianjin 300052, China.
Huijing LuoDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, No.154 Anshan Road, Heping District, Tianjin 300052, China.
Huimin ZhouDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, No.154 Anshan Road, Heping District, Tianjin 300052, China.
Xu HuangSchool of Medical Imaging, Tianjin Medical University, No.1 Guangdong Road, Hexi District, Tianjin, 300204, China.
Qian HeDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, No.154 Anshan Road, Heping District, Tianjin 300052, China.
Jinhong LiDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, No.154 Anshan Road, Heping District, Tianjin 300052, China.
Yanv RenDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, No.154 Anshan Road, Heping District, Tianjin 300052, China.
Xiaofang ZhangDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, No.154 Anshan Road, Heping District, Tianjin 300052, China.
Zuoliang DongDepartment of Clinical Laboratory, Tianjin Medical University General Hospital, No.154 Anshan Road, Heping District, Tianjin 300052, China.ORCID 0000-0002-2443-0641

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionType 2 Diabetes Mellitus (T2DM) is closely associated with impaired islet β-cell function. Multiple indicators can be used to evaluate islet function and insulin resistance. The aim of this study is to establish a β-cell function assessment model based on oral glucose tolerance test (OGTT) indices, providing a reference for the early diagnosis and treatment of diabetes.

methodsIn this study, 30 Normal Glucose Tolerance (NGT), 43 Impaired Glucose Regulation (IGR), and 42 T2DM subjects were enrolled. The levels of blood glucose, insulin, c-peptide, and proinsulin were measured during OGTT. Insulinogenic index (IGI), C-Peptide generation Index (CPI), and proinsulinogenic index (PNI) were calculated. Fasting-state ratios, including c-peptide to glucose (CP/I), proinsulin to insulin (PI/I), and proinsulin to c-peptide (PI/CP), were calculated. The area under the curve (AUC) was analyzed for these indices and their corresponding ratios. ROC curve analysis was performed to evaluate the diagnostic value of these indicators for glucose metabolism disorders and β-cell function.

resultsIn the fasting state, CP/I gradually increased, while IGI and PNI gradually decreased from the NGT group to the IGR and T2DM groups. For diagnosing IGR, the AUCs of CP/I, IGI, and PNI were 0.8101, 0.762, and 0.7605; for T2DM, they were 0.8746, 0.9651, and 0.8451; and for distinguishing IGR from T2DM, they were 0.7054, 0.8200, and 0.6833, respectively. DISCUSSION: Different indicators have different diagnostic capabilities for IGR and T2DM. The comparison of various indicators reveals pancreatic islet function across different glucose-metabolizing populations.

conclusionCP/I, IGI, and PNI were more sensitive in reflecting impaired glucose tolerance. CP/I can reflect insulin clearance capacity, and IGI can reflect β-cell dysfunction.

Indexed as

Blood GlucoseDiabetes Mellitus, Type 2Glucose IntoleranceIslets of LangerhansAdultBiomarkersC-PeptideFemaleGlucose Tolerance TestHumansInsulinInsulin ResistanceInsulin-Secreting CellsMaleMiddle AgedProinsulinBiomarkersBlood GlucoseC-PeptideInsulinProinsulinimpaired glucose regulationinsulinogenic indexinsulin resistanceoral glucose tolerance testtype 2 diabetes mellitusβ-cell dysfunction

Identifiers

PMID42227378
PMCPMC13595326

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.