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Background: Type 2 diabetes (T2D) is related to intestinal microflora changes and immune inflammation. We aimed to investigate the pattern of intestinal flora-systematic T helper (Th) cell linkage in T2D patients.
Methods: Participants with T2D diagnosed by physicians and healthy controls were enrolled in the study. The Th1, Th2, and Th17 cells from the peripheral blood were assessed by flow cytometry. The feces were collected. The V3-V4 variable region of 16S rRNA was sequenced and analyzed using bioinformatics. Principal coordinate analysis (PCoA) and non-metric multidimensional scaling (NMDS) analysis were performed to assess the beta diversity. The linear discriminant analysis (LDA) effect size (LEfSe) method was applied to identify amicrobial taxon specific to T2D. The Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) was conducted to identify the metabolic pathways. A network analysis was conducted by constructing a co-occurrence network.
Results: The percentages of the Th1 and Th17 cells in the peripheral blood were higher in patients with T2D than in controls. Among the top 30 genera of the intestinal microbiota, the levels of _NK4A136_group, _UCG002, and _group were lower in the patients with T2D than in controls. In the LEfSe analysis, it was observed that the and families were significantly different between patients with T2D and controls. Moreover, the Th1/Th2 ratio was positively correlated with the abundance of the and _group genera. In the network analysis, the Th1/Th2 ratio, _UCG-002, and _NK4A136_group were the important nodes.
Conclusion: This study provided a preliminary picture of the crosstalk between the intestinal microbiome and systematic Th cells in patients with T2D. The findings of the study suggested that the network relationship among the intestinal microbiota, metabolites, and CD4+T lymphocyte immunity was unbalanced in the patients with T2D, which might have promoted the development of T2D. This presents a therapeutic opportunity to modulate gut immune reaction and then chronic inflammation by manipulating microbiome-specific Th-cell response.
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http://dx.doi.org/10.3389/fmicb.2024.1443743 | DOI Listing |
JAMA Netw Open
September 2025
Perelman School of Medicine, University of Pennsylvania, Philadelphia.
Importance: As obesity rates rise in the US, managing associated metabolic comorbidities presents a growing burden to the health care system. While bariatric surgery has shown promise in mitigating established metabolic conditions, no large studies have quantified the risk of developing major obesity-related comorbidities after bariatric surgery.
Objective: To identify common metabolic phenotypes for patients eligible for bariatric surgery and to estimate crude and adjusted incidence rates of additional metabolic comorbidities associated with bariatric surgery compared with weight management program (WMP) alone.
Diabetes Ther
September 2025
Eli Lilly and Company, Lilly Corporate Center, 893 Delaware Street, Indianapolis, IN, 46225, USA.
Introduction: This study examines the characteristics of adults with type 2 diabetes (T2D) who were not initially treated with an antihyperglycemic agent (AHA).
Methods: The analyses used Optum de-identified Market Clarity data from January 2013 through September 2023. The US study included nonpregnant adults with T2D who were continuously insured from 1 year prior through 5 years post diagnosis and did not fill a prescription for an AHA in the year after their initial T2D diagnosis.
J Prim Care Community Health
September 2025
Division of Epidemiology and Biostatistics, School of Public Health, Faculty of Health Sciences, University of Cape Town, South Africa.
Objectives: The COVID-19 pandemic disrupted routine healthcare services, disproportionately affecting people living with chronic conditions such as type 2 diabetes (T2D). In response, the Western Cape Government Health implemented home delivery of medication (HDM) via community health workers (CHWs) to maintain continuity of care. This study aimed to evaluate the association between socioeconomic factors and access to HDM among T2D patients in Cape Town, South Africa, during the pandemic, with a focus on equity and health system responsiveness.
View Article and Find Full Text PDFBMJ Open Diabetes Res Care
September 2025
NIHR Maudsley Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, UK.
Introduction: Frequent glycated hemoglobin A1c (HbA1c) monitoring is recommended in individuals with type 2 diabetes mellitus (T2D). We aimed to identify distinct, long-term HbA1c trajectories following a T2D diagnosis and investigate how these glycemic control trajectories were associated with health-related traits and T2D complications.
Research Design And Methods: A cohort of 12,435 unrelated individuals of European ancestry with T2D was extracted from the UK Biobank data linked to primary care records.
JMIR Public Health Surveill
September 2025
Earth Observation Centre (EOC), Institute of Climate Change, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.
Background: Neighborhoods resulting from rapid urbanization processes are often saturated with eateries for local communities, potentially increasing exposure to unhealthy foods and creating diabetogenic residential habitats.
Objective: We examined the association between proximity of commercial food outlets to local neighborhood residences and type 2 diabetes (T2D) cases to explore how local T2D rates vary by location and provide policy-driven metrics to monitor food outlet density as a potential control for high local T2D rates.
Methods: This cross-sectional ecological study included 11,354 patients with active T2D aged ≥20 years geocoded using approximate neighborhood residence aggregated to area-level rates and counts by subdistricts (mukims) in Penang, northern Malaysia.