Tingjing Zhang , Mingyu Huang , Liangkai Chen , Yang Xia , Weiqing Min , Shuqiang Jiang
{"title":"Machine learning and statistical models to predict all-cause mortality in type 2 diabetes: Results from the UK Biobank study","authors":"Tingjing Zhang , Mingyu Huang , Liangkai Chen , Yang Xia , Weiqing Min , Shuqiang Jiang","doi":"10.1016/j.dsx.2024.103135","DOIUrl":"10.1016/j.dsx.2024.103135","url":null,"abstract":"<div><h3>Aims</h3><div>This study aims to compare the performance of contemporary machine learning models with statistical models in predicting all-cause mortality in patients with type 2 diabetes mellitus and to develop a user-friendly mortality risk prediction tool.</div></div><div><h3>Methods</h3><div>A prospective cohort study was conducted including 22,579 people with diabetes from the UK Biobank. Models evaluated include Cox proportional hazards, random survival forests (RSF), gradient boosting (GB) survival, DeepSurv, and DeepHit.</div></div><div><h3>Results</h3><div>Over a median follow-up period of 9 years, 2,665 patients died. Machine learning models outperformed the Cox model in the validation dataset, with C-index values of 0.72–0.73 vs. 0.71 for Cox (p < 0.01). Deep learning models, particularly DeepHit, demonstrated superior calibration and achieved lower Brier scores (0.09 vs. 0.10 for Cox, p < 0.05). An online prediction tool based on the DeepHit was developed for patient care: <span><span>http://123.57.42.89:6006/</span><svg><path></path></svg></span>.</div></div><div><h3>Conclusions</h3><div>Machine learning models performed better than statistical models, highlighting the potential of machine learning techniques for predicting all-cause mortality risk and facilitating personalized healthcare management for individuals with diabetes.</div></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 9","pages":"Article 103135"},"PeriodicalIF":4.3,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142442174","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Sunil B. Korde , Smita R. Pillewan , Sanket R. Dumbre , Anjali R. Bandgar , Prajakta S. Shinde , Sunil Gairola , Vandana S. Nikam
{"title":"Significance of Bacillus Calmette-Guerin (BCG) vaccine intervention for patients with Type 1 Diabetes (T1D): A systematic review and meta-analysis","authors":"Sunil B. Korde , Smita R. Pillewan , Sanket R. Dumbre , Anjali R. Bandgar , Prajakta S. Shinde , Sunil Gairola , Vandana S. Nikam","doi":"10.1016/j.dsx.2024.103102","DOIUrl":"10.1016/j.dsx.2024.103102","url":null,"abstract":"<div><h3>Purpose</h3><p>Immunotherapy is an emerging therapeutic modality for many autoimmune, oncology, and infectious diseases to cure or prevent the underlying causes. Several immunotherapeutic agents are investigated for their beneficial potential in patients with diabetes. However, none have culminated into a successful therapy. The present comprehensive meta-analysis and systematic review covers the last two decades of historical research evaluating the Bacillus Calmette-Guerin (BCG) vaccine as an immunotherapeutic agent in diabetes, along with updated information on similar recent publications.</p></div><div><h3>Method</h3><p>A total of 278 articles were retrieved through literature databases, and after applying inclusion and exclusion criteria as per PRISMA guidelines, seven studies were selected for meta-analysis using Cochrane Q statistics.</p></div><div><h3>Results</h3><p>Our meta-analysis revealed marginal benefits, lowering glycosylated/glycated haemoglobin (HbA1C) levels and glutamic-acid-decarboxylase (GAD) autoantibodies in BCG treated people with Type 1 Diabetes (T1D) compared to the matched control individuals. The BCG intervention found to be ineffective in regulating C-peptide (connecting peptide) and clinical remission (CR) i.e. improved glycemic regulation, though beneficial tendency was observed.</p></div><div><h3>Conclusion</h3><p>Our systematic review and meta-analysis revealed benefits of BCG vaccine intervention in T1D patients, including improved HbA1C and GAD autoantibody levels. However, the study has several limitations stemming from BCG vaccine-related factors and patient characteristics. Therefore, a large clinical trial with an enhanced study design is needed to validate the immunity-related benefits of the BCG vaccine for glucose metabolism in patients with T1D.</p></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 8","pages":"Article 103102"},"PeriodicalIF":4.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142037372","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Carl Harris , Daniel Olshvang , Rama Chellappa , Prasanna Santhanam
{"title":"Obesity prediction: Novel machine learning insights into waist circumference accuracy","authors":"Carl Harris , Daniel Olshvang , Rama Chellappa , Prasanna Santhanam","doi":"10.1016/j.dsx.2024.103113","DOIUrl":"10.1016/j.dsx.2024.103113","url":null,"abstract":"<div><h3>Aims</h3><p>This study aims to enhance the precision of obesity risk assessments by improving the accuracy of waist circumference predictions using machine learning techniques.</p></div><div><h3>Methods</h3><p>We utilized data from the NHANES and Look AHEAD studies, applying machine learning algorithms augmented with uncertainty quantification. Our approach centered on conformal prediction techniques, which provide a methodological basis for generating prediction intervals that reflect uncertainty levels. This method allows for constructing intervals expected to contain the true waist circumference values with a high degree of probability.</p></div><div><h3>Results</h3><p>The application of conformal predictions yielded high coverage rates, achieving 0.955 for men and 0.954 for women in the NHANES dataset. These rates surpassed the expected performance benchmarks and demonstrated robustness when applied to the Look AHEAD dataset, maintaining coverage rates of 0.951 for men and 0.952 for women. Traditional point prediction models did not show such high consistency or reliability.</p></div><div><h3>Conclusions</h3><p>The findings support the integration of waist circumference into standard clinical practice for obesity-related risk assessments using machine learning approaches.</p></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 8","pages":"Article 103113"},"PeriodicalIF":4.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142146546","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hadis Mozaffari , Rana Madani Civi , Mohammadreza Askari , Clover Lee , Emily Wong , Cheryl Wong , Annalijn I. Conklin
{"title":"The impact of food-based dietary strategies on achieving type 2 diabetes remission: A systematic review","authors":"Hadis Mozaffari , Rana Madani Civi , Mohammadreza Askari , Clover Lee , Emily Wong , Cheryl Wong , Annalijn I. Conklin","doi":"10.1016/j.dsx.2024.103096","DOIUrl":"10.1016/j.dsx.2024.103096","url":null,"abstract":"<div><h3>Objective</h3><p>Conventional wisdom once asserted that diabetes was irreversible. However, contemporary research indicates that dietary changes may contribute to achieving diabetes remission in persons with type 2 diabetes (T2D). We aimed to determine the effectiveness of food-based dietary approaches for T2D remission.</p></div><div><h3>Methods</h3><p>We systematically searched Medline, EMBASE, and Web of Science, along with exploring grey literature, to identify longitudinal studies. Data extraction and quality assessment adhered to predetermined criteria, and the results of the included studies were analyzed using a narrative synthesis and graphical display.</p></div><div><h3>Results</h3><p>We included 52 original studies—40 % were rated as low-risk of bias. Overall, studies showed the low-carbohydrate Mediterranean diet (LCMD), compared to a low-fat diet, was more effective for achieving T2D remission in newly diagnosed patients who also had a weight loss of up to 6 kg. Compared to both the traditional Mediterranean diet and the American Diabetic Association diet, the LCMD was also more effective at diabetes remission for persons with T2D with any duration of diabetes; however, more substantial weight loss of 8 kg was required. Other diets that appeared effective for T2D remission included low-calorie diets and diets high in plant protein sources. Less weight loss was needed to achieve remission on plant-based diets than a low-calorie diet and low-carbohydrate diet.</p></div><div><h3>Conclusions</h3><p>Diets high in plant protein sources may support T2D remission, particularly among newly diagnosed patients. For patients with a duration of over 2 years, the combination of plant-based diets with greater weight loss should be considered to induce remission.</p></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 8","pages":"Article 103096"},"PeriodicalIF":4.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1871402124001577/pdfft?md5=359f3ac34ff902389067b31cf5cd1956&pid=1-s2.0-S1871402124001577-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142009738","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Louise Trocmet , André Dufour , Thierry Pebayle , Olivier Després , Ségolène Lithfous
{"title":"Early detection of altered cold perception in elderly with type 2 diabetes using a novel Quantitative Sensory Testing method","authors":"Louise Trocmet , André Dufour , Thierry Pebayle , Olivier Després , Ségolène Lithfous","doi":"10.1016/j.dsx.2024.103097","DOIUrl":"10.1016/j.dsx.2024.103097","url":null,"abstract":"<div><h3>Aim</h3><p>To compare the effectiveness of two methods for measuring cold detection thresholds in screening for temperature-perception deficits in elderly individuals with type 2 diabetes (T2 diabetes).</p></div><div><h3>Methods</h3><p>Cold threshold measurements were performed on seven body regions of participants with diabetes without neuropathy (n = 30; mean age, 70.9 ± 6.5 years) and healthy participants (n = 73; mean age, 68 ± 5 years). Two protocols applying the Levels Method were used: the first used skin temperature as the starting point; the second used 40 °C.</p></div><div><h3>Results</h3><p>Cold detection thresholds were significantly higher in subjects with diabetes, particularly on the foot. For CDT TSk, values were −2.22 ± 1.91 °C in non-diabetic and −3.27 ± 3.33 °C in diabetic groups (p = 0.023); for CDT 40, values were −9.82 ± 3.5 °C and −12.18 ± 4.5 °C (p = 0.003). However, after adjusting for age, the group effect on cold threshold with skin temperature as baseline disappeared. Sensory screens showed that the Area Under Curve of the method using a 40 °C baseline was 0.69 (p = 0.002).</p></div><div><h3>Conclusion</h3><p>Measuring the cold detection threshold on the foot with a 40 °C baseline is more effective than using skin temperature as a baseline for screening sensory alterations in elderly subjects with type 2 diabetes before neuropathy onset.</p></div><div><h3>Significance</h3><p>These findings highlight the importance of selecting the appropriate cold detection threshold method for elderly individuals with type 2 diabetes. The optimal method can facilitate early identification of sensory changes, minimizing complications and improving overall well-being.</p></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 8","pages":"Article 103097"},"PeriodicalIF":4.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141917850","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trabecular and cortical bone microarchitecture using high-resolution peripheral quantitative computed tomographic imaging in diabetic peripheral neuropathy","authors":"Durairaj Arjunan, Ashu Rastogi, Jayaditya Ghosh, Soham Mukherjee, Raveena Singh, Vandana Dhiman, Sanjay K. Bhadada","doi":"10.1016/j.dsx.2024.103109","DOIUrl":"10.1016/j.dsx.2024.103109","url":null,"abstract":"<div><h3>Context</h3><p>Type 2 Diabetes Mellitus (T2D) is associated with an increased risk of fragility fracture despite normal areal bone mineral density (BMD). The contribution of diabetic peripheral neuropathy (PN) to volumetric BMD (vBMD) and bone microarchitecture in T2D is not explored.</p></div><div><h3>Objective</h3><p>To assess vBMD and microarchitectural properties of bone using high-resolution peripheral quantitative computed tomography (HR-pQCT) in patients of T2D with or without PN.</p></div><div><h3>Design</h3><p>This is a cross-sectional study of patients of T2D divided into two groups [patients with T2D without PN (Group A) and T2D with PN (Group B)]. All patients underwent clinical examination, biochemical evaluation, dual-energy X-ray absorptiometry (DXA), and HR-pQCT of the radius and tibia.</p></div><div><h3>Results</h3><p>A total of 296 patients were included in the study [Group A (n = 98), Group B (n = 198)]. HR-pQCT demonstrated a significant difference in total vBMD[mg/cm<sup>3</sup>] at tibia (291.6 ± 61.8 vs. 268.2 ± 63.0; p-0.003); cortical vBMD[mg/cm<sup>3</sup>] at tibia [912.5 (863.3, 962.4) vs. 853.8 (795.3, 913.2) p-0.000], among groups A and B respectively. Among the microarchitecture parameters, there was a significant difference in cortical porosity at the tibia (2.5% ±1.7% vs. 3%±1.7%; p-0.004), trabecular number[mm<sup>-1</sup>] at the tibia [1.080 (0.896, 1.237) vs. 1.140 (0.983, 1.286), p-0.045] and trabecular thickness[mm] at the radius [0.228 (0.217, 0.247) Vs. 0.238 (0.224, 0.253); p-0.006], among groups A and B respectively.</p></div><div><h3>Conclusion</h3><p>Despite comparable areal BMD, T2D patients with PN have diminished vBMD and deteriorated skeletal microarchitecture, compared to those without PN.</p></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 8","pages":"Article 103109"},"PeriodicalIF":4.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142077268","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Glycemic variability in chronic calcific pancreatitis with diabetes mellitus and its possible determinants","authors":"Amarta Shankar Chowdhury , Rajan Palui , Subhodip Pramanik , Sunetra Mondal","doi":"10.1016/j.dsx.2024.103100","DOIUrl":"10.1016/j.dsx.2024.103100","url":null,"abstract":"<div><h3>Aims</h3><p>To study glycemic patterns and variability in patients with pancreatic diabetes or type 3c Diabetes mellitus (DM) due to chronic pancreatitis and its subtypes and assess the role of pancreatic enzyme replacement therapy (ERT) in modulating glycemic variability.</p></div><div><h3>Methods</h3><p>Patients having type 3c DM due to chronic pancreatitis, and on insulin underwent Flash continuous-glucose-monitoring (CGM) for 14 days. Parameters were compared between patients with fibrocalculous pancreatic diabetes (FCPD) and non-FCPD-chronic calcific pancreatitis (non-FCPD) and between the recipients and non-recipients of pancreatic enzyme-replacement-therapy (ERT).</p></div><div><h3>Results</h3><p>Out of 54 patients with pancreatic diabetes, 35 patients had chronic calcific pancreatitis. They underwent CGM, median HbA1c 9.20 % (77 mmol/mol) and mean Time-In-Range (TIR) being 41.21 % (23.48). Only 5 (15.2 %) patients achieved target TIR>70 % while 16 (48.5 %) patients had high glycemic-variability [Coefficient-of-variation (CV) > 36 %]. Patients with FCPD (n = 14) had higher hypoglycemia-indices like Time-Below-Range (18.92 % vs 8.20 %; p = 0.03) and Low-Blood-Glucose-Index (18.14 % vs 6.04 %; p = 0.02) compared to non-FCPD (n = 21). HbA1c% and hyperglycemic excursions were similar in both groups. Recipients of ERT (n = 20) had lower glycemic-variability [Standard Deviation (SD) 52.15 % vs 68.14 % and CV 32.59 % vs 41.79 %, p < 0.05 for both) than non-recipients. ERT-recipients had no serious hypoglycemia within the 14 days. On subgroup analysis, lower glycemic-variability and hypoglycemia with ERT were seen only in FCPD but not in non-FCPD subgroup (50.13 vs 77.91, 30.09 vs 48.36 for SD and CV respectively, p < 0.05).</p></div><div><h3>Conclusion</h3><p>Patients with type 3c DM due to chronic pancreatitis have high frequency of hyperglycemic and hypoglycemic excursions, with those with FCPD having a particularly higher risk of hypoglycemia and glycemic-variability. Those receiving pancreatic ERT had lesser glycemic variability and hypoglycemia. The small sample size and lack of objective markers of documentation of exocrine pancreatic insufficiency like fecal elastase highlight the need for further larger studies in this field.</p></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 8","pages":"Article 103100"},"PeriodicalIF":4.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141978437","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Miao Zhang , Siwei Fan , Seokgyeong Hong , Xiaoying Sun , Yaqiong Zhou , Liu Liu , Jiao Wang , Chunxiao Wang , Naixuan Lin , Xiayi Xiao , Xin Li
{"title":"Epidemiology of lipid disturbances in psoriasis: An analysis of trends from 2006 to 2023","authors":"Miao Zhang , Siwei Fan , Seokgyeong Hong , Xiaoying Sun , Yaqiong Zhou , Liu Liu , Jiao Wang , Chunxiao Wang , Naixuan Lin , Xiayi Xiao , Xin Li","doi":"10.1016/j.dsx.2024.103098","DOIUrl":"10.1016/j.dsx.2024.103098","url":null,"abstract":"<div><h3>Introduction</h3><p>A strong link has been established between psoriasis and lipid disturbances; however, no study has systematically examined their global epidemiology.</p></div><div><h3>Methods</h3><p>We searched six databases from their inception up to October 1, 2023. Data analysis was conducted using Stata SE 15.1. We performed subgroup, meta-regression, and sensitivity analyses to assess the heterogeneity of the pooled studies.</p></div><div><h3>Results</h3><p>Our review included 239 studies comprising 15,519,570 participants. The pooled prevalence rate of dyslipidemia among individuals with psoriasis was 38 %.</p></div><div><h3>Conclusion</h3><p>Patients with severe psoriasis should undergo screening for lipid abnormalities. This can facilitate the early detection of lipid dysfunction and associated cardiovascular comorbidities.</p></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 8","pages":"Article 103098"},"PeriodicalIF":4.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141984519","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Asmaa Housni , Alexandra Katz , Jessica C. Kichler , Meranda Nakhla , Laurence Secours , Anne-Sophie Brazeau
{"title":"Predictors of stigma perception by people with type 1 diabetes: A cross-sectional analysis of the BETTER registry","authors":"Asmaa Housni , Alexandra Katz , Jessica C. Kichler , Meranda Nakhla , Laurence Secours , Anne-Sophie Brazeau","doi":"10.1016/j.dsx.2024.103112","DOIUrl":"10.1016/j.dsx.2024.103112","url":null,"abstract":"<div><h3>Aims</h3><p>This study investigates stigma predictors across ages and genders, addressing a critical gap in understanding diverse populations to reduce related suboptimal clinical and psychosocial outcomes.</p></div><div><h3>Methods</h3><p>Cross-sectional analysis of self-reported data from BETTER, a Canadian registry of people with type 1 diabetes. Participants (n = 709) completed the 19-item-Diabetes-Stigma Assessment-Scale (DSAS-1) categorized into <em>treated differently</em>, <em>blame and judgment</em>, and <em>identity concerns</em> sub-scales. Associations with diabetes distress (DDS-17-score/102), depression (PHQ-9-score/27), social-support (ESSI-score/34), fear of hypoglycemia (HFS-II-score/132), and hyperglycemia-avoidance-behaviours (HAS-score/88) were computed.</p></div><div><h3>Results</h3><p>Perceived stigma was highest in youth aged 14–24 years (46·0 ± 15·6, p < 0·001) and women (41·2 ± 15·7, p = 0·009), compared to other age groups and men. <em>Blame and Judgment</em> contributed to most of stigma perception. Youth perceived significantly more blame and judgment (p < 0·001) and identity concerns (p = 0·001) compared to middle-aged adults and seniors. Women perceive significantly more blame and judgment compared to men (p < 0·001). The perception of <em>being treated differently</em> was not reported to be an issue across ages and genders. Participants with higher scores of depression, diabetes-distress, fear of hypoglycemia, hyperglycemia-avoidance behaviours, and lesser social-support, reported increased stigma.</p></div><div><h3>Conclusions</h3><p>Stigma varies by age and gender, underscoring the need for targeted interventions to reduce it. Challenging stereotypes and reducing stigma-related stressors are essential for better outcomes.</p></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 8","pages":"Article 103112"},"PeriodicalIF":4.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1871402124001735/pdfft?md5=322ddc4106656f1e5814dbc5bf9abfd5&pid=1-s2.0-S1871402124001735-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142137018","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Amit Dutta , Md. Arju Hossain , Pratul Dipta Somadder , Mahmuda Akter Moli , Kawsar Ahmed , Md Masuder Rahman , Francis M. Bui
{"title":"Exploring the therapeutic targets of stevioside in management of type 2 diabetes by network pharmacology and in-silico approach","authors":"Amit Dutta , Md. Arju Hossain , Pratul Dipta Somadder , Mahmuda Akter Moli , Kawsar Ahmed , Md Masuder Rahman , Francis M. Bui","doi":"10.1016/j.dsx.2024.103111","DOIUrl":"10.1016/j.dsx.2024.103111","url":null,"abstract":"<div><h3>Aims</h3><p>The main objective of the current study is to investigate the pathways and therapeutic targets linked to stevioside in the management of T2D using computational approaches.</p></div><div><h3>Methods</h3><p>We collected RNA-seq datasets from NCBI, then employed GREIN to retrieve differentially expressed genes (DEGs). Computer-assisted techniques DAVID, STRING and NetworkAnalyst were used to explore common significant pathways and therapeutic targets associated with T2D and stevioside. Molecular docking and dynamics simulations were conducted to validate the interaction between stevioside and therapeutic targets.</p></div><div><h3>Results</h3><p>Gene ontology and KEGG analysis revealed that prostaglandin synthesis, IL-17 signaling, inflammatory response, and interleukin signaling were potential pathways targeted by stevioside in T2D. Protein-protein interactions (PPI) analysis identified six common hub proteins (<em>PPARG</em>, <em>PTGS2</em>, <em>CXCL8</em>, <em>CCL2</em>, <em>PTPRC</em>, and <em>EDN1</em>). Molecular docking results showed best binding of stevioside to <em>PPARG</em> (−8 kcal/mol) and <em>PTGS2</em> (−10.1 kcal/mol). Finally, 100 ns molecular dynamics demonstrated that the binding stability between stevioside and target protein (PPARG and PTGS2) falls within the acceptable range.</p></div><div><h3>Conclusions</h3><p>This study reveals that stevioside exhibits significant potential in controlling T2D by targeting key pathways and stably binding to <em>PPARG</em> and <em>PTGS2</em>. Further research is necessary to confirm and expand upon these significant computational results.</p></div>","PeriodicalId":48252,"journal":{"name":"Diabetes & Metabolic Syndrome-Clinical Research & Reviews","volume":"18 8","pages":"Article 103111"},"PeriodicalIF":4.3,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S1871402124001723/pdfft?md5=489797dde5f3b993f00592182637b904&pid=1-s2.0-S1871402124001723-main.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142096942","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}