Journal of Diabetes and Metabolic Disorders最新文献

{"title":"Low glucose challenge test result as a potential risk factor for delays in early child development: the Japan environment and children's study.","authors":"Satoshi Shinohara, Reiji Kojima, Sanae Otawa, Megumi Kushima, Kunio Miyake, Hideki Yui, Tadao Ooka, Sayaka Horiuchi, Hiroshi Yokomichi, Zentaro Yamagata, Ryoji Shinohara","doi":"10.1007/s40200-025-01568-x","DOIUrl":"10.1007/s40200-025-01568-x","url":null,"abstract":"<p><strong>Objectives: </strong>To clarify the relationship between maternal 50-g glucose challenge test (GCT) results and neurodevelopment in 3-year-old children and determine if low GCT results are linked to early neurodevelopmental delays in offspring.</p><p><strong>Methods: </strong>In this nationwide prospective cohort study, we extracted data from 104,062 foetal records from the Japan Environment and Children's Study. Outcomes comprised developmental status cut-off values for the domains of the Ages and Stages Questionnaire, Third Edition. The exclusion criteria were gestational diabetes mellitus, diabetes during pregnancy, and GCT results ≥ 140 mg/dL. Based on these criteria, we included 12,472 women who had undergone a GCT between 14 and 27 weeks of gestation and divided the participants into a low-GCT group (cohort specific ≤ 10th percentile, ≤ 81 mg/dL) and a non-low-GCT group (82-139 mg/dL). Multivariable logistic regression analysis was used to investigate the association between low GCT results and early neurodevelopmental delays.</p><p><strong>Results: </strong>Compared with infants born to women with normal GCT results, those born to women with low GCT results showed a significantly higher incidence of neurodevelopmental delays, particularly in communication, gross motor, fine motor, and problem-solving skills (adjusted odds ratio [OR] 1.35, 95% confidence interval [CI] 1.02-1.78; adjusted OR 1.31, 95% CI 1.01-1.69; adjusted OR 1.26, 95% CI 1.02-1.56; adjusted OR 1.24, 95% CI 1.01-1.54, respectively). No significant increase in the adjusted ORs (95% CIs) was observed for female offspring.</p><p><strong>Conclusions: </strong>Low maternal GCT results are associated with offspring neurodevelopment at 3 years of age, with the association influenced by offspring sex.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40200-025-01568-x.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"61"},"PeriodicalIF":1.8,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11787112/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143122788","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}

{"title":"Mechanistic insights on lycopene usage against diabetes and associated complications.","authors":"Mandana Jafari, Faeghe Farhadi, Vafa Baradaran Rahimi, Pouria Rahmanian-Devin, Nafiseh Askari, Vahid Reza Askari","doi":"10.1007/s40200-025-01561-4","DOIUrl":"10.1007/s40200-025-01561-4","url":null,"abstract":"<p><p>Lycopene is a tetraterpene compound belonging to carotenoids that are widely present in tomatoes and similar products. It is known as a powerful anti-oxidant and a non-provitamin A carotenoid. Lycopene has been found to effectively improve diabetes mellitus and its complications, such as cardiac complications, disorders caused by oxidative stress, and liver and neurological disorders. Furthermore, free radicals have been shown to disrupt the action of insulin by changing the physical state of the target cell membrane, while carotenoids improve insulin secretion and function in blood sugar regulation by neutralizing free radicals. It, therefore, seems that targeted clinical studies are needed to investigate the therapeutic effect of lycopene against metabolic disorders induced by diabetes. This review aims to summarize information on the sources and potential uses of lycopene and the possible mechanisms involved in the reduction of the above diseases. Its protective effects, in terms of toxicity and safety, are also discussed. The literature sources used in this review were PubMed, Google Scholar, Scopus, and Web of Science databases.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"57"},"PeriodicalIF":1.8,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11759726/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143046802","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}

{"title":"Lipoic acid improves wound healing through its immunomodulatory and anti-inflammatory effects in a diabetic mouse model.","authors":"Khairy M A Zoheir, Neama I Ali, Abdelkader E Ashour, Mohamed S Kishta, Sarah I Othman, Hassan A Rudayni, Ahmed A Rashad, Ahmed A Allam","doi":"10.1007/s40200-025-01559-y","DOIUrl":"10.1007/s40200-025-01559-y","url":null,"abstract":"<p><strong>Objectives: </strong>Diabetes mellitus is a chronic disease that has become more prevalent worldwide because of lifestyle changes. It leads to serious complications, including increased atherosclerosis, protein glycosylation, endothelial dysfunction, and vascular denervation. These complications impair neovascularization and wound healing, resulting in delayed recovery from injuries and an elevated risk of infections. The present study aimed to investigate the effect of lipoic acid (LA) on the key mediators involved in the wound healing process, specifically CD4 + CD25 + T cell subsets, CD4 + CD25 + Foxp3 + regulatory T (Treg) cells, T-helper-17 (Th17) cells that generate IL-17 A, glucocorticoid-induced tumor necrosis factor receptor (GITR) expressing cells, as well as cytokines such as IL-2, IL-1β, IL-6, and TNF-α and IFN-γ. These mediators play crucial roles in epidermal and dermal proliferation, hypertrophy, and cell migration.</p><p><strong>Methods: </strong>We divided mice into 5 groups: the non-diabetic (normal control; NC), wounded non-diabetic mice (N + W), wounded diabetic mice (D + W), wounded diabetic mice treated with 50 mg/kg lipoic acid (D + W + L50) for 14 days, and wounded diabetic mice treated with 100 mg/kg lipoic acid (D + W + L100) for 14 days.</p><p><strong>Results: </strong>Flow cytometric analysis indicated that lipoic acid-treated mice exhibited a significant decrease in the frequency of intracellular cytokines (IL-17 A, TNF-α and IFN-γ) in CD4 + T cells, as well as a reduction in the number of GITR-expressing cells. Conversely, a significant upregulation in the number CD4+, CD25+, FOXp3 + and CD4 + CD25 + Foxp3 + regulatory T (Treg) cells was observed in this group compared to both the normal + wounded (N + W) and diabetic + wounded (D + W) groups. Additionally, the mRNA Levels of inflammatory mediators (IL-2, IL-1β, IL-6, and TNF-α) were downregulated in lipoic acid-treated mice compared to other groups. T thereby he histological findings of diabetic skin wounds treated with lipoic acid showed well-healed surgical wounds.</p><p><strong>Conclusions: </strong>These findings support the beneficial role of lipoic acid in fine-tuning the balance between anti-inflammatory and pro-inflammatory cytokines, influencing both their release and gene expression.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"56"},"PeriodicalIF":1.8,"publicationDate":"2025-01-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11759746/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143046794","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}

{"title":"Integrative proteomic analysis reveals the potential diagnostic marker and drug target for the Type-2 diabetes mellitus.","authors":"Zhen Jia, Ning Jiang, Lin Lin, Bing Li, Xuewei Liang","doi":"10.1007/s40200-025-01562-3","DOIUrl":"10.1007/s40200-025-01562-3","url":null,"abstract":"<p><strong>Objective: </strong>The escalating prevalence of Type-2 diabetes mellitus (T2DM) poses a significant global health challenge. Utilizing integrative proteomic analysis, this study aimed to identify a panel of potential protein markers for T2DM, enhancing diagnostic accuracy and paving the way for personalized treatment strategies.</p><p><strong>Methods: </strong>Proteome profiles from two independent cohorts were integrated: cohort 1 composed of 10 T2DM patients and 10 healthy controls (HC), and cohort 2 comprising 87 T2DM patients and 60 healthy controls. Differential expression analysis, functional enrichment analysis, receiver operating characteristic (ROC) analysis, and classification error matrix analysis were employed.</p><p><strong>Results: </strong>Comparative proteomic analysis identified the differential expressed proteins (DEPs) and changes in biological pathways associated with T2DM. Further combined analysis refined a group of protein panel (including CA1, S100A6, and DDT), which were significantly increased in T2DM in both two cohorts. ROC analysis revealed the area under curve (AUC) values of 0.94 for CA1, 0.87 for S100A6, and 0.97 for DDT; the combined model achieved an AUC reaching 1. Classification error matrix analysis demonstrated the combined model could reach an accuracy of 1 and 0.875 in the 60% training set and 40% testing set.</p><p><strong>Conclusions: </strong>This study incorporates different cohorts of T2DM, and refines the potential markers for T2DM with high accuracy, offering more reliable markers for clinical translation.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40200-025-01562-3.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"55"},"PeriodicalIF":1.8,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11754769/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143028934","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}

{"title":"Predictive performance of noninvasive factors for liver fibrosis in severe obesity: a screening based on machine learning models.","authors":"Tannaz Jamialahmadi, Mehdi Azizmohammad Looha, Sara Jangjoo, Nima Emami, Mohammed Altigani Abdalla, Mohammadreza Ganjali, Sepideh Salehabadi, Sercan Karav, Thozhukat Sathyapalan, Ali H Eid, Ali Jangjoo, Amirhossein Sahebkar","doi":"10.1007/s40200-025-01564-1","DOIUrl":"10.1007/s40200-025-01564-1","url":null,"abstract":"<p><strong>Objectives: </strong>Liver fibrosis resulting from nonalcoholic fatty liver disease (NAFLD) and metabolic disorders is highly prevalent in patients with severe obesity and poses a significant health challenge. However, there is a lack of data on the effectiveness of noninvasive factors in predicting liver fibrosis. Therefore, this study aimed to assess the relationship between these factors and liver fibrosis through a machine learning approach.</p><p><strong>Methods: </strong>This study involved 512 patients who underwent bariatric surgery at an outpatient clinic in Mashhad, Iran, between December 2015 and September 2021. Patients were divided into fibrosis and non-fibrosis groups and demographic, clinical, and laboratory variables were applied to develop four machine learning models: Naive Bayes (NB), logistic regression (LR), Neural Network (NN) and Support Vector Machine (SVM).</p><p><strong>Results: </strong>Among the 28 variables considered, six variables including (fasting blood sugar (FBS), skeletal muscle mass (SMM), hemoglobin, alanine transaminase (ALT), aspartate transaminase (AST) and triglycerides) showed high area under the curve (AUC) values for the diagnosis of liver fibrosis using 2D shear wave elastography (SWE) with LR (0.73, 95% CI: 0.65, 0.81) and SVM (0.72, 59% CI: 0.64, 0.80) models. Furthermore, the highest sensitivities were reported with SVM (0.83, 95% CI: 0.72, 0.91) and NB (0.66, 95% CI: 0.53, 0.77) models, respectively.</p><p><strong>Conclusion: </strong>The predictive performance of six noninvasive factors of liver fibrosis was significantly superior to other factors, showing high application and accuracy in the diagnosis and prognosis of liver fibrosis.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40200-025-01564-1.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"54"},"PeriodicalIF":1.8,"publicationDate":"2025-01-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11741961/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143006478","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}

{"title":"<i>RXRs</i> expression in skeletal muscle in relationship with insulin sensitivity in normal-weight and obese volunteers.","authors":"Róża Aleksandrowicz, Marek Strączkowski","doi":"10.1007/s40200-024-01546-9","DOIUrl":"10.1007/s40200-024-01546-9","url":null,"abstract":"<p><strong>Objectives: </strong>Retinoid X receptors (RXRs) are nuclear hormone receptors (NRs) functioning as transcription factors. There are three RXR isoforms: RXRA (NR2B1), RXRB (NR2B2), and RXRG (NR2B3). RXRs serve as master regulators of gene networks governing cell growth, differentiation, survival, and death. RXRs might affect insulin action, but very little data currently supports this relationship. The aim of the study was to analyze the relationship between the expression of RXRs in skeletal muscles and insulin sensitivity in young, normal-weight, overweight and obese people.</p><p><strong>Methods: </strong>The research group consisted of 45 volunteers, 20 had normal body weight, 13 were overweight, and 12 were obese. Insulin sensitivity was measured with hyperinsulinemic-euglycemic clamp. Vastus lateralis muscle biopsies were taken before each clamp, and RXRs mRNA expression was analyzed.</p><p><strong>Results: </strong><i>RXRA</i> expression was lower in overweight, obese subjects in comparison with normal-weight volunteers (<i>P</i> = 0.003, <i>P</i> = 0.002, respectively). <i>RXRB</i> and <i>RXRG</i> expression did not differ between the groups. <i>RXRA</i> expression in muscle was positively correlated with insulin sensitivity (<i>r</i> = 0.49, <i>P</i> = 0.001). The relationship between muscle tissue <i>RXRA</i> and insulin sensitivity was independent of BMI (β = 0.35, <i>P</i> = 0.02).</p><p><strong>Conclusions: </strong>Our results indicate that <i>RXRA</i> expression in skeletal muscle is linked to insulin sensitivity. The data suggest that muscle-associated RXRs may play a role in modulating insulin action.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"51"},"PeriodicalIF":1.8,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748634/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023537","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}

{"title":"The relationship between perceived stigma and health-promoting self-care in adult patients with type 2 diabetes.","authors":"Fatma Özkan Tuncay, Nalan Koçyiğit","doi":"10.1007/s40200-025-01565-0","DOIUrl":"10.1007/s40200-025-01565-0","url":null,"abstract":"<p><strong>Objectives: </strong>The study was conducted to examine the relationship between perceived self-stigma and health promotion self-care in patients with type 2 diabetes.</p><p><strong>Methods: </strong>The study was conducted with 206 patients with type 2 diabetes who were hospitalized in the endocrinology clinic of a state hospital between July and September 2023 and met the study inclusion criteria. Data were collected using a patient identification form, the Type 2 Diabetes Stigma Assessment Scale (DSAS-2) and the Diabetes Health Promotion Self-Care Scale (DHPSC). Data were analyzed using SPSS Statistical software (Version 22), which combines descriptive and analytical statistics.</p><p><strong>Results: </strong>The participants' DSAS-2 and DHPSC total mean scores were 47.85 ± 17.81 and 87.83 ± 19.19, respectively. A moderate, negative and statistically significant relationship was found between the participants' DSAS-2 and DHPSC total mean scores (r: 0.467, p:0.000), suggesting that health-promotion self-care is a predictor of perceived stigma.</p><p><strong>Conclusion: </strong>The study revealed that the patients with type 2 diabetes experienced moderate levels of stigma, and as the level of perceived stigma increased, their self-care behaviors were negatively affected.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"49"},"PeriodicalIF":1.8,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748663/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023563","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}

{"title":"The association of dietary inflammatory index and osteosarcopenia in Iranian adults: results of iranian multicenter osteoporosis study.","authors":"Navid Ostovar, Noushin Fahimfar, Afshin Ostovar, Sevana Daneghian","doi":"10.1007/s40200-025-01558-z","DOIUrl":"10.1007/s40200-025-01558-z","url":null,"abstract":"<p><strong>Objectives: </strong>To investigate the association between the Dietary Inflammatory Index (DII) and osteosarcopenia using nationally representative data.</p><p><strong>Methods: </strong>We utilized data from 1,418 men and women aged ≥ 50 years old participating in Iranian Multicenter Osteoporosis Study (IMOS), a nation-wide, cross-sectional study conducted in 2021. Osteosarcopenia was defined based on standard criteria, considering the presence of both osteopenia/osteoporosis and sarcopenia. We assessed dietary patterns using a semi-quantitative 168-item Food Frequency Questionnaire (FFQ) and calculated energy-adjusted DII (E-DII) scores based on 31 specific food items. Multivariable logistic regression models were used to examine the association between osteosarcopenia and E-DII, adjusting for potential confounders. Nutrient intake calculations were performed using Nutritionist IV software.</p><p><strong>Results: </strong>The mean age of participants was 60.1 (SD = 7.9) years, with 770 (54.3%) being women. The prevalence of osteosarcopenia was 8.8% (95% CI: 7.3-10.6%). Osteosarcopenia was more prevalent among women, older participants, and rural inhabitants. However, the difference was not statistically significant for sex and area of residence. After adjusting for confounders, the odds ratios for osteosarcopenia in the second and third tertiles of E-DII score were 2.23 (95% CI: 1.23-4.05) and 2.47 (95% CI: 1.40-4.37), respectively.</p><p><strong>Conclusions: </strong>Our findings suggest an association between osteosarcopenia and the DII. A healthy low-inflammatory diet may play a crucial role in maintaining musculoskeletal health among the elderly.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"53"},"PeriodicalIF":1.8,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748730/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023476","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}

{"title":"The association between dietary diversity score and food insecurity and novel cardiovascular risk factors in type 2 diabetes mellitus patients: a cross-sectional study.","authors":"Hanieh Abbasi, Ensieh Nasli-Esfahani, Mobina Zeinalabedini, Razieh Tabaei-Fard, Fozhan Javadi, Leila Azadbakht","doi":"10.1007/s40200-025-01557-0","DOIUrl":"10.1007/s40200-025-01557-0","url":null,"abstract":"<p><strong>Objectives: </strong>An efficient approach to monitor the risks associated with chronic diseases is to use a dietary diversity score (DDS). To our knowledge, there has been no study conducted on the correlation between DDS and cardiovascular risk factors in individuals with diabetes. Hence, the objective of this study is to ascertain the correlation between these traits.</p><p><strong>Methods: </strong>In this cross-sectional investigation, 490 individuals with type 2 diabetes were included. The patients' food consumption was assessed using a 168-item food frequency questionnaire (FFQ), and a dietary diversity score (DDS) was computed. Traditional CVD risk variables were used to evaluate cardiovascular risk factors, including Castelli risk index 1 and 2 (CRI-I and II), atherogenic index of plasma (AIP), lipid accumulation product (LAP), and cholesterol index (CI). We evaluated the anthropometric indicators that predict CVD, including the abdominal volume index (AVI), body roundness index (BRI), and body shape index (ABSI).</p><p><strong>Results: </strong>In the final model adjusted for all the considered confounders, there was a significant association between DDS and LAP (OR: 1.33; 95% CI: 0.61, 0.82; <i>p-</i>trend = 0.03). Moreover, there was a significant association between DDS and AVI (OR: 1.99; 95% CI: 1.17,3.35; <i>p-</i>trend = 0.04). We could not find any association between food security and DDS among the participants of the current study.</p><p><strong>Conclusions: </strong>In the present study, it was found that DDS may result in higher LAP and AVI which are markers of abdominal obesity and cardiovascular diseases. Therefore, despite the probable positive effect of having a diverse diet on cardiovascular health and wide recommendations for that, using healthier food groups should be considered.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1007/s40200-025-01557-0.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"48"},"PeriodicalIF":1.8,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748661/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023546","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}

{"title":"The PI3K/Akt pathway: a target for curcumin's therapeutic effects.","authors":"Mahdieh Aliyari, Sahar Ghoflchi, Seyed Isaac Hashemy, Seyedeh Fatemeh Hashemi, Amirali Reihani, Hossein Hosseini","doi":"10.1007/s40200-025-01563-2","DOIUrl":"10.1007/s40200-025-01563-2","url":null,"abstract":"<p><strong>Purpose: </strong>The purpose of this review study is to investigate the effect of curcumin on the phosphoinositide 3-kinase (PI3K)/protein kinase B (Akt) signaling pathway in various diseases. Curcumin, the main compound found in turmeric, has attracted a lot of attention for its diverse pharmacological properties. These properties have increased the therapeutic potential of curcumin in chronic diseases such as cardiovascular disease, Type 2 diabetes, obesity, non-alcoholic fatty liver disease, kidney disease, and neurodegenerative diseases. One of the main mechanisms of the effect of curcumin on health is its ability to modulate the PI3K/Akt signaling pathway. This pathway plays an important role in regulating vital cellular processes such as growth, cell survival, metabolism, and apoptosis. Disruption of the PI3K/Akt signaling pathway is associated with the incidence of several diseases.</p><p><strong>Methods: </strong>Electronic databases including PubMed, Google Scholar, and Scopus were searched with the keywords \"phosphoinositide 3-kinase\" AND \"protein kinase B \"AND \"curcumin\" in the title/abstract. Also, following keywords \"non-alcoholic fatty liver disease\" AND \"diabetes\" AND \"obesity\" AND \"kidney disease\" and \"neurodegenerative diseases\" was searched in the whole text.</p><p><strong>Results: </strong>Research indicates that curcumin offers potential benefits for several health conditions. Studies have shown it can help regulate blood sugar, reduce inflammation, and protect the heart, kidneys, and brain.</p><p><strong>Conclusion: </strong>This protective effect is partially achieved by regulating the PI3K-Akt survival pathway, which helps improve metabolic disorders and oxidative stress. By examining how curcumin affects this vital cell pathway, researchers can discover new treatment strategies for a range of diseases.</p>","PeriodicalId":15635,"journal":{"name":"Journal of Diabetes and Metabolic Disorders","volume":"24 1","pages":"52"},"PeriodicalIF":1.8,"publicationDate":"2025-01-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11748622/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143023497","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}