Acta Diabetologica最新文献

{"title":"Identification of FLVCR1 as the iron metabolism-related gene of statin-associated diabetes.","authors":"YiJia Huang, Kai Chen, Xiao Xiao, Shilong Zhong","doi":"10.1007/s00592-025-02491-6","DOIUrl":"https://doi.org/10.1007/s00592-025-02491-6","url":null,"abstract":"<p><strong>Aims: </strong>Long-term statin use has been linked to increased diabetes risk. Iron metabolism disruption may explain this association. The objective of this study was to identify the co-expression gene modules and the iron metabolism-related gene (IMG) linking statin administration and diabetes, making the hunt for novel therapeutic targets necessary.</p><p><strong>Methods: </strong>Weighted gene co-expression network analysis (WGCNA) was applied to the GSE130991 dataset to detect co-expressed gene modules. Enrichment analysis and single sample gene set enrichment analysis (ssGSEA) were conducted to characterize the biological processes and iron metabolism differences, respectively. Candidate IMGs were identified by intersecting WGCNA hub genes, differentially expressed genes (DEGs) from the statin-using and non-using obese individuals within the GSE130991 liver tissue dataset, and IMGs from Molecular Signatures Database Molecular Signatures Database (MisgDB). Mediation analysis was utilized to identify the definitive IMG. Expression validation was conducted through reverse transcription quantitative PCR (RT-qPCR) experiments and cross-referencing with additional datasets.</p><p><strong>Results: </strong>A shared gene module was identified between statin-users and diabetes patients, with functional enrichment analysis indicating involvement in iron ion binding. ssGSEA revealed differentially expressed iron metabolism in both statin-users and diabetes patients. Five IMG genes (CYP51A1, SC5D, MSMO1, SCD, and FLVCR1) were shortlisted, with FLVCR1 emerging as the key intermediary biomarker. FLVCR1 was positively correlated with insulin resistance and demonstrated robust predictive capabilities for diabetes. An increase in FLVCR1 mRNA levels was observed following statin treatment, as confirmed by RT-qPCR experiments and the GSE24188 dataset. Elevated FLVCR1 mRNA was also noted in diabetes patients across datasets GSE130991, GSE23343, and GSE95849.</p><p><strong>Conclusion: </strong>In this study, bioinformatics evidence supporting the association between statin use and diabetes was presented. FLVCR1 was identified as the iron metabolism-related mediator gene implicated in this relationship. Overall, our findings provide a theoretical foundation for new directions for future research exploring the complex interplay between statin treatment, iron metabolism regulation, and diabetes pathogenesis.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143717661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Optimized ensemble model for accurate prediction of cardiac vascular calcification in diabetic patients.","authors":"M Suresh, M Maragatharajan","doi":"10.1007/s00592-025-02485-4","DOIUrl":"https://doi.org/10.1007/s00592-025-02485-4","url":null,"abstract":"<p><strong>Aim: </strong>Cardiovascular diseases (CVD) are a major threat to diabetic patients, with cardiac vascular calcification (CVC) as a key predictive factor. This study seeks to improve the prediction of these calcifications using advanced machine learning (ML) algorithms. However, current ML and Artificial Intelligence (AI) methods face challenges such as limited sample sizes, insufficient data, high time complexity, long processing times, and significant implementation costs.</p><p><strong>Method: </strong>To predict CVC in diabetic patients, the Simple linear iterative clustering based Ensemble Artificial Neural Network (SLIC-EANN) model is proposed in this paper. In this research article, certain biochemical, imaging, and clinical data are used that are captured from Coronary computed tomography angiography (CCTA) dataset. The proposed model employs preprocessing techniques such as image normalization, image resizing, and image augmentation to clean and simplify the input images. Then Localization of the cardiac vascular calcification is done using the simple linear iterative clustering (SLIC) algorithm. The ensemble artificial neural network (EANN) classifies calcification severity by integrating outputs from three machine learning techniques Support Vector Machine (SVM), Gradient Boosting (GB), and Decision Tree (DT).</p><p><strong>Results: </strong>This method achieves an accuracy of 98.7% and an error rate of 1.3%, outperforming existing techniques.</p><p><strong>Conclusion: </strong>A comprehensive analysis is conducted in this research article that concludes that the proposed model achieved better prediction performances of calcification in diabetic patients.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143668623","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction: Different formulations of semaglutide and oxidative stress in subjects with type 2 diabetes and MASLD: an open-label, real-life study.","authors":"Giovanni Petralli, Alice Del Zoppo, Chiara Rovera, Francesco Raggi, Antonio Salvati, Diego Moriconi, Mariarosaria Distaso, Maurizia Rossana Brunetto, Anna Solini","doi":"10.1007/s00592-025-02482-7","DOIUrl":"https://doi.org/10.1007/s00592-025-02482-7","url":null,"abstract":"","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143661920","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Stress hyperglycemia ratio and 30-day mortality among critically ill patients with acute heart failure: analysis of the MIMIC-IV database.","authors":"Xiaodong You, Hengzhi Zhang, Tianshi Li, Yi Zhu, Zhongman Zhang, Xufeng Chen, Peipei Huang","doi":"10.1007/s00592-025-02486-3","DOIUrl":"https://doi.org/10.1007/s00592-025-02486-3","url":null,"abstract":"<p><strong>Background: </strong>The association between the stress hyperglycemia ratio (SHR) and short-term prognosis of acute heart failure (AHF), particularly among those admitted to the intensive care unit (ICU), has not been elucidated. This study aimed to investigate the association between the SHR and adverse outcomes among critically ill patients with AHF and provide a reference for glycemic management range in these patients.</p><p><strong>Methods: </strong>We extracted the clinical data of patients from the MIMIC-IV (v3.0) database. The association between the SHR and short-term prognosis was analyzed using the Kaplan‒Meier survival curve, Cox regression, and subgroup analysis. Important features were identified utilizing machine learning methods. Furthermore, the association between the dynamic SHR level and mortality was explored using restricted cubic splines and Cox regression.</p><p><strong>Results: </strong>A total of 994 patients were included. Patients with the highest SHR (Quartile 4) had a higher risk of 30-day mortality (HR = 2.14; 95% CI = 1.32-3.45; P = 0.002) and in-hospital mortality (HR = 2.22; 95% CI = 1.27-3.88; P = 0.005) than those in Quartile 2 (as reference). The results of machine learning methods revealed the SHR was an important predictor for 30-day mortality of patients with critical AHF. Restricted cubic splines indicated a J-shaped association between the dynamic SHR level and mortality, and the cut-off values were 0.84 and 1.07.</p><p><strong>Conclusion: </strong>The SHR was significantly associated with 30-day mortality and in-hospital mortality among patients with critical AHF. The SHR may be a useful indicator for the glycemic management of patients with AHF in the ICU.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633277","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Perinatal adverse outcomes in twin pregnancies with preeclampsia complicated by distinct gestational diabetes subtypes.","authors":"Wei-Zhen Tang, Zhe-Ming Kang, Yi-Fan Zhao, Qin-Yu Cai, Beng-Ning Deng, Zhi-Jian Zhou, Wen-Xin Deng, Wei-Ze Xu, Tai-Hang Liu, Lan Wang","doi":"10.1007/s00592-025-02444-z","DOIUrl":"https://doi.org/10.1007/s00592-025-02444-z","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;The impact of gestational diabetes mellitus (GDM) complicated with preeclampsia (PE) on perinatal outcomes in twin pregnancies, particularly across different GDM subtypes, remains unclear.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Methods: &lt;/strong&gt;This case-control study included 1,263 twin pregnancies with GDM and categorized participants as follows: (i) GDM without PE and GDM with PE groups, and (ii) GDM subgroups based on oral glucose tolerance test (OGTT) values at different time points, including GDM-IFH, GDM-IPH, and GDM-CH. Initially, the study investigated risk factors for PE occurrence in women with GDM. Subsequently, univariate and multivariate logistic regression analyses were conducted to explore the impact of GDM with PE on perinatal outcomes in twin pregnancies compared to GDM without PE. Stratified analyses and interaction effects were also examined to assess the risk of adverse perinatal outcomes in GDM twin pregnancies with various maternal characteristics combined with PE. Additionally, the study assessed the influence of aspirin on the GDM with PE group. Based on OGTT values, the study further investigated their impact on perinatal outcomes in the GDM with PE group and examined the influence of different GDM subtypes on perinatal outcomes in twin pregnancies with GDM and PE.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;Baseline characteristics of twin pregnancies with GDM indicated that pre-pregnancy BMI (PBMI) (p &lt; 0.001), weight gain during pregnancy (p &lt; 0.001), nulliparity (p = 0.029), and the use of IVF (p = 0.023) may be risk factors for the occurrence of PE in GDM. Additionally, GDM with PE increased the risk of Intrahepatic Cholestasis of Pregnancy (ICP) (OR 2.00), hypoproteinemia during pregnancy (OR 4.18), anemia during pregnancy (OR 2.34), and MICU admission (OR 5.43) compared to GDM without PE. Regarding neonatal outcomes, the GDM with PE group had significantly higher risks of neonatal hyperbilirubinemia (OR 1.97), preterm labor (OR 1.58), and NICU admission (OR 2.32). In the GDM with PE group, aspirin significantly reduced the risk of preterm labor. Further research indicated that glucose values significantly affected the occurrence of ICP, hypoproteinemia during pregnancy, and anemia during pregnancy in the GDM with PE group. Subgroup analysis based on OGTT glucose values classified GDM subtypes showed that different GDM subtypes are closely related to the risk of hypoproteinemia during pregnancy, neonatal hyperbilirubinemia, and preterm labor in both GDM without PE group and GDM with PE groups. Particularly in GDM-IPH and GDM-CH subtypes, PE combined with GDM significantly increased the risks associated with ICP, hypoproteinemia during pregnancy, and MICU admission. Moreover, GDM-IPH combined with PE significantly increased the risks of anemia during pregnancy, NICU admission, and neonatal hyperbilirubinemia, while GDM-CH combined with PE also significantly increased the risk of preterm birth.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusion: ","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143633343","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Understanding the link between insulin resistance and cognition: a cross-sectional study conducted in an urban, South Indian cohort.","authors":"Anjana J Menon, Monisha Selva, G Sandhya, Sadhana Singh, M L Abhishek, Albert Stezin, Jonas S Sundarakumar, Latha Diwakar, Thomas Gregor Issac","doi":"10.1007/s00592-025-02483-6","DOIUrl":"https://doi.org/10.1007/s00592-025-02483-6","url":null,"abstract":"<p><strong>Background: </strong>Recent research suggests that metabolic dysregulation caused by insulin resistance (IR) can have a negative impact on cognition. Therefore, the objective of this study is to explore the role of IR as an independent metabolic risk for decreased cognitive performance.</p><p><strong>Methods: </strong>The study included 1072 non-demented participants aged 45 years and above were recruited from Tata Longitudinal Study of Aging (TLSA). Fasting insulin and blood glucose levels were collected during the baseline visit. HOMA-IR formula was used to calculate IR. Cognition was assessed using the COGNITO neuropsychological test battery. Generalized Linear Regression Model (GLM) was performed to find the relationship between IR category and COGNITO battery. The brain imaging was conducted using a 3 Tesla MRI system. The cortical volumes were acquired using Freesurfer software (v7.2.0) (Salgado et al. Arq Gastroenterol 47(2):165-169, 2010). Further, GLM analysis was performed for MRI variables.</p><p><strong>Results: </strong>The estimated general prevalence of IR in our study is 56.3%. Model 1 suggested that IR is associated with reduced auditory attention (p = 0.014), and word comprehension (p = 0.043) tasks. Model 2 and 4 showed that there is an association with IR and poorerauditory attention (p = 0.015; p = 0.012) task. However, there was no significant association found in model 3. GLM analysis for MRI indicated that IR is associated with reduced brain volumes in left hemisphere like amygdala (p = 0.0012), inferior temporal lobe (p = 0.002), lateral orbitofrontal cortex (p = 0.005), superior temporal insula (p = 0.017), middle temporal lobe (p = 0.002), entorhinal (p = 0.049), and right hemisphere brain volumes like precuneus (p = 0.025), and insula (p = 0.002).</p><p><strong>Conclusions: </strong>Our study findings conclude IR is significantly associated with poorer cognitive performance related to auditory attention. Furthermore, the study also revealed that IR is associated with decreased brain volumes in specific regions.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623119","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Metabolomic analyses of multiple biologic matrices reveal metabolic heterogeneity in diabetic complications.","authors":"Yao Huang, Wuping Liu, Ge Song, Sheng Wu, Xuejun Li, Guiping Shen, Jianghua Feng","doi":"10.1007/s00592-025-02481-8","DOIUrl":"https://doi.org/10.1007/s00592-025-02481-8","url":null,"abstract":"<p><strong>Aims: </strong>Type 2 diabetes mellitus (T2DM) arises from a complex interplay of genetic and environmental factors. Patients with T2DM are susceptible to hyperglycemia-related complications that can impair organ function, underscoring the need to explore the metabolic profiles of affected organs.</p><p><strong>Methods: </strong>In this study, a comprehensive metabolomic analysis was conducted on the serum, kidney, and heart tissues from a rat model of diabetic complications (DC). Pattern recognition and multivariate statistical analyses were applied to identify the potential biomarkers of DC, and metabolic network analysis served to understand the specific metabolic pathways associated with DC.</p><p><strong>Results: </strong>Fourteen significantly altered metabolites were identified in serum, 20 in the kidney, and 14 in the heart. The corresponding metabolic pathways included mineral absorption, mTOR signaling pathway, taurine and hypotaurine metabolism, glycine, serine and threonine metabolism, ABC transporters, glucagon signaling pathway, protein degradation and uptake, galactose metabolism, purine metabolism, nicotinic acid and nicotinamide metabolism, and glycolysis and gluconeogenesis. Differential metabolite network analysis revealed instinct metabolic patterns among the serum, kidney, and heart. Notably, the serum's metabolic correlation patterns were found to be somewhat similar to those observed in the kidney, whereas the heart exhibited less pronounced metabolite correlations compared to the other two biological matrices.</p><p><strong>Conclusions: </strong>These findings provide insights into the mechanism underlying the development of diabetic complications. The integration of metabolomics and biological network analyses into diabetes research can potentially revolutionize the field by revealing novel biomarkers for early detection and personalized treatment of diabetes and its associated complications.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623117","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Decreased PLK2 promotes atrial fibrillation in diabetic mice through Nrf2/HO-1 pathway.","authors":"Huan-Huan Liu, Fan Yang, Lei Zhang, Xiao-Lu Zhang, Ning Zhao, Zhen-Ye Zhang, Jia-Bin Zhou, Tian-Peng Wei, Ling-Ling Qian, Li-Gang Ding, Ru-Xing Wang","doi":"10.1007/s00592-025-02480-9","DOIUrl":"https://doi.org/10.1007/s00592-025-02480-9","url":null,"abstract":"<p><strong>Background: </strong>Type 2 diabetes mellitus (T2DM) is associated with an increased incidence of atrial fibrillation (AF). However, the exact mechanisms involved have not yet been fully elucidated. Dysregulation of cardiac potassium channels can trigger AF. This study aimed to investigate the mechanisms of abnormal expression of atrial potassium channel proteins Kv1.5, Kv4.2, and Kv4.3 in type 2 diabetic mice.</p><p><strong>Methods: </strong>The db/db mice and their control littermates were set as the T2DM group and the control (Con) group. Acetylcholine-calcium chloride was injected via the tail veins to induce AF. HL-1 cells were cultured with normal or high-glucose medium and treated with or without Dimethyl Fumarate (DMF) or hemin in vitro. The expression and cellular localization of proteins were evaluated by western blotting and immunofluorescence.</p><p><strong>Results: </strong>The results showed that high glucose impaired the expression of Kv1.5, Kv4.2 and Kv4.3 proteins both in vivo and in vitro, in parallel with a significant down-regulation of polo-like kinase 2 (PLK2), nuclear factor erythroid 2-related factor 2 (Nrf2), p-Nrf2 and heme oxygenase-1 (HO-1) proteins. Moreover, immunofluorescence revealed that both high glucose and PLK2 knockdown could result in reduced Nrf2 and p-Nrf2 expression and subsequent nuclear translocation. While overexpression of PLK2, treatment with DMF, an agonist of Nrf2, or hemin, an inducer of HO-1, could restore the reduction of Kv1.5, Kv4.2 and Kv4.3 proteins caused by high glucose.</p><p><strong>Conclusion: </strong>Diabetes reduces the expression of Kv1.5, Kv4.2 and Kv4.3 proteins in atrial cells through inhibition of PLK2/Nrf2/HO-1 pathway, thereby leading to the increased susceptibility to AF in T2DM.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143623116","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Short-term results of EUS-guided RFA of insulinoma: a case series.","authors":"Nevena Chakarova, Petko Karagyozov, Inna Yankova, Roumyana Dimova, Tsvetalina Tankova","doi":"10.1007/s00592-025-02460-z","DOIUrl":"10.1007/s00592-025-02460-z","url":null,"abstract":"","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143582155","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The impact of health coaching on glycemic control among uncontrolled type 2 diabetes mellitus patients: a randomized controlled trial.","authors":"Marina Epriliawati, Dicky L Tahapary, Indah Suci Widyahening, Anitawati Seman, Diana Gunawan, Lyra Puspa, Sukamto Koesnoe, Lilik Fauziyah, Sudarsono, Cut Neubi Getha, Ida Ayu Kshanti, Em Yunir, Tri Juli Edi Tarigan, Pradana Soewondo","doi":"10.1007/s00592-025-02470-x","DOIUrl":"https://doi.org/10.1007/s00592-025-02470-x","url":null,"abstract":"<p><strong>Objectives: </strong>Health coaching is a potential approach to increase glycemic control by improving diabetes patients' lifestyles. Our study aims to evaluate the impact of health coaching on glycemic control and patients' lifestyle among uncontrolled diabetes patients in Indonesia.</p><p><strong>Methods: </strong>Our study involved 60 uncontrolled T2DM (type 2 diabetes mellitus) patients with HbA1c > 7.5% from two referral hospitals in Jakarta, Indonesia. The control group received T2DM treatment and 12 standardized diabetes education, while the intervention group received an additional 12 personal health coaching sessions. The primary outcome of this study was glycemic control, which was evaluated at baseline, 3rd month, and 6th months after the intervention. Secondary outcomes included diet and physical activities as lifestyle parameters.</p><p><strong>Results: </strong>Our study showed fasting plasma glucose was significantly lower in the intervention group than in the control group (135.46 [38.61] mg/dL vs. 176.59 [62.45] mg/dL, p = 0.006). Moreover, 2-hours Post Prandial Glucose (2hPPG) was also significantly lower in the intervention group (141.42 [53.06] mg/dL vs. 242.11 [117.24] mg/dL, p < 0.001). HbA1c levels had lower values in the intervention group, although it was not significant (7.83% [2.18] vs. 8.87% [2.10], p = 0.054). No significant differences were observed for dietary control and physical activity.</p><p><strong>Conclusions: </strong>At the six-month follow-up, the health coaching program significantly improved the participants' glycemic control (FPG and 2hPPG). In addition to current diabetes care standards, the health coaching method can raise patient awareness, encourage self-care, and improve their ideal glycemic levels.</p>","PeriodicalId":6921,"journal":{"name":"Acta Diabetologica","volume":" ","pages":""},"PeriodicalIF":3.1,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143565749","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}