Evidence map›Paper›PMID 42714737›Full record

ArticleEndocrine2026

Cluster-derived immunometabolic profiles: association with glycemic dysregulation in elderly postmenopausal women.

Ana Cristina Lira de Menezes, Ingrid Almeida Maciel, Eduarda Caroline Oliveira Barros, Nailza Maestá, Steven S Witkin, Fábio Lera Orsatti, Cláudio Lera Orsatti

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Article in Endocrine, 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

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ana Cristina Lira de MenezesBiochemistry - Immunology Research Group - GPB-I, Department Health Science, Oeste Paulista University - UNOESTE, Jaú, SP, Brazil.ORCID 0009-0002-2921-2376
Ingrid Almeida MacielBiochemistry - Immunology Research Group - GPB-I, Department Health Science, Oeste Paulista University - UNOESTE, Jaú, SP, Brazil.ORCID 0009-0001-1414-4705
Eduarda Caroline Oliveira BarrosBiochemistry - Immunology Research Group - GPB-I, Department Health Science, Oeste Paulista University - UNOESTE, Jaú, SP, Brazil.ORCID 0009-0006-3533-8652
Nailza MaestáBiochemistry - Immunology Research Group - GPB-I, Department Health Science, Oeste Paulista University - UNOESTE, Jaú, SP, Brazil.ORCID 0009-0008-3826-1309
Steven S WitkinDepartment of Obstetrics and Gynecology, Weill Cornell Medicine, New York, NY, USA.ORCID 0000-0002-3502-3929
Fábio Lera OrsattiApplied Physiology, Nutrition and Exercise Research Group - PhyNEr, Institute of Health Sciences, Federal University of Triangulo Mineiro - UFTM, Uberaba, Minas Gerais, Brazil.ORCID 0000-0002-6258-2646
Cláudio Lera OrsattiBiochemistry - Immunology Research Group - GPB-I, Department Health Science, Oeste Paulista University - UNOESTE, Jaú, SP, Brazil. orsatti@unoeste.br.ORCID 0000-0001-9161-5737

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify variations in immunometabolic profiles in elderly postmenopausal women using a data-driven clustering approach and to examine differences in insulin resistance (HOMA-IR) and glycemic control (HbA1c) across the derived profiles.

methodsThis cross-sectional study included 132 women with a mean age of 70.8 years. Unsupervised hierarchical cluster analysis (Ward.D2 method, squared Euclidean distance) was performed using twelve variables spanning demographic, hemodynamic, metabolic, inflammatory, and vitamin D-related domains. HbA1c and HOMA-IR were compared across clusters; HOMA-IR was not fully independent of cluster derivation because fasting glucose contributes to its calculation. Between-cluster differences were assessed using Kruskal-Wallis tests or one-way ANOVA. DSCF post-hoc tests and epsilon-squared (ε²) effect sizes were used for non-parametric comparisons.

resultsThree cluster-derived profiles were identified (Cluster 1, n = 25; Cluster 2, n = 50; Cluster 3, n = 57). Cluster 1 was characterized by lower IL-10 levels and a less favorable lipid profile, while blood pressure was similarly elevated in Clusters 1 and 2 relative to Cluster 3. Cluster 2 showed an overall intermediate profile, with the lowest vitamin D concentration as its most distinctive feature. Cluster 3 exhibited lower blood pressure, higher IL-10 levels, and a more favorable lipid profile. When examining these additional glycemic measures, HbA1c showed a graded increase across clusters (p < 0.05 for all pairwise comparisons), whereas HOMA-IR differed between Cluster 3 and Clusters 1 and 2 but did not differ significantly between Clusters 1 and 2.

conclusionThe differentiation of elderly postmenopausal women into three data-driven immunometabolic profiles illustrated substantial heterogeneity. These findings suggest that HbA1c may provide complementary information to fasting-based indices when characterizing immunometabolic heterogeneity in elderly postmenopausal women.

Indexed as

Blood GlucoseInsulin ResistancePostmenopauseAgedAged, 80 and overCluster AnalysisClustering AlgorithmsCross-Sectional StudiesFemaleGlycated HemoglobinHumansInterleukin-10Middle AgedVitamin DBlood GlucoseGlycated Hemoglobinhemoglobin A1c protein, humanInterleukin-10Vitamin DElderly womenInflammagingInsulin resistanceInterleukin-10Vitamin D

Identifiers

PMID42714737
PMCPMC13558278

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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 Socratic graph.