Biomolecules & biomedicine最新文献

{"title":"Enhancing clinical decision-making in closed pelvic fractures with machine learning models.","authors":"Dian Wang, Yongxin Li, Li Wang","doi":"10.17305/bb.2024.10802","DOIUrl":"10.17305/bb.2024.10802","url":null,"abstract":"<p><p>Closed pelvic fractures can lead to severe complications, including hemodynamic instability (HI) and mortality. Accurate prediction of these risks is crucial for effective clinical management. This study aimed to utilize various machine learning (ML) algorithms to predict HI and death in patients with closed pelvic fractures and identify relevant risk factors. The retrospective study included 208 patients diagnosed with pelvic fractures and admitted to Suning Traditional Chinese Medicine Hospital between 2019 and 2023. Among these, 133 cases were identified as closed PFs. Patients with closed fractures were divided into a training set (n = 115) and a test set (n = 18). The training set was further stratified into two groups based on hemodynamic stability: Group A (patients with HI) and Group B (patients with hemodynamic stability). A total of 40 clinical variables were collected, and multiple machine learning algorithms were employed to develop predictive models, including logistic regression (LR), C5.0 Decision Tree (DT), Naive Bayes (NB), support vector machine (SVM), K-nearest neighbors (KNN), random Forest (RF), and artificial neural network (ANN). Additionally, factor analysis was performed to assess the interrelationships between variables. The RF and LR algorithms outperformed traditional methods-such as central venous pressure (CVP) and intra-abdominal pressure (IAP) measurements-in predicting HI. The RF model achieved an average under the ROC (AUC) of 0.92, with an accuracy of 0.86, precision of 0.81, and an F1 score of 0.87. The LR model had an average AUC of 0.82 but shared the same accuracy, precision, and F1 score as the RF model. Key risk factors identified included TILE grade, heart rate (HR), creatinine (CR), white blood cell count (WBC), fibrinogen (FIB), and lactic acid (LAC), with LAC levels >3.7 and an injury severity score (ISS) >13 as significant predictors of HI and mortality. In conclusion, the RF and LR algorithms are effective in predicting HI and mortality risk in patients with closed PFs, enhancing clinical decision-making and improving patient outcomes.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"1491-1507"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097389/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142803604","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":"Deep learning approach based on a patch residual for pediatric supracondylar subtle fracture detection.","authors":"Qingming Ye, Zhilu Wang, Yi Lou, Yang Yang, Jue Hou, Zheng Liu, Weiguang Liu, Jiayu Li","doi":"10.17305/bb.2024.11341","DOIUrl":"10.17305/bb.2024.11341","url":null,"abstract":"<p><p>Supracondylar humerus fractures in children are among the most common elbow fractures in pediatrics. However, their diagnosis can be particularly challenging due to the anatomical characteristics and imaging features of the pediatric skeleton. In recent years, convolutional neural networks (CNNs) have achieved notable success in medical image analysis, though their performance typically relies on large-scale, high-quality labeled datasets. Unfortunately, labeled samples for pediatric supracondylar fractures are scarce and difficult to obtain. To address this issue, this paper introduces a deep learning-based multi-scale patch residual network (MPR) for the automatic detection and localization of subtle pediatric supracondylar fractures. The MPR framework combines a CNN for automatic feature extraction with a multi-scale generative adversarial network to model skeletal integrity using healthy samples. By leveraging healthy images to learn the normal skeletal distribution, the approach reduces the dependency on labeled fracture data and effectively addresses the challenges posed by limited pediatric datasets. Datasets from two different hospitals were used, with data augmentation techniques applied during both training and validation. On an independent test set, the proposed model achieves an accuracy of 90.5%, with 89% sensitivity, 92% specificity, and an F1 score of 0.906-outperforming the diagnostic accuracy of emergency medicine physicians and approaching that of pediatric radiologists. Furthermore, the model demonstrates a fast inference speed of 1.1 s per sheet, underscoring its substantial potential for clinical application.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"1631-1646"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097401/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143017199","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":"Predictors of implant failure: A comprehensive analysis of risk factors in oral implant restoration for patients with partial defects of dentition.","authors":"Dake Linghu, Danna Zhang, Min Liu","doi":"10.17305/bb.2024.11668","DOIUrl":"10.17305/bb.2024.11668","url":null,"abstract":"<p><p>Implant failure remains a significant challenge in oral implantology, necessitating a deeper understanding of its risk factors to improve treatment outcomes. This study aimed to enhance the clinical outcomes of oral implant restoration by investigating the factors contributing to implant failure in patients with partial dentition defects within two years of treatment. Additionally, the study sought to develop an early risk prediction model for implant failure. A retrospective analysis was conducted on 300 patients with partial dentition defects, dividing them into two groups: a failed implant group and a successful implant group, based on the occurrence of implant failure within two years. General clinical data and condition-specific clinical information were compared between the groups. Multivariate binary logistic regression analysis was used to identify influencing factors, while the predictive effectiveness of the model was assessed using a receiver operating characteristic (ROC) curve. The analysis revealed that factors, such as gender, post-implant smoking, oral hygiene status at the second-year follow-up, tooth position, number of implants, timing of loading, width of keratinized mucosa, and bone quantity significantly influenced the likelihood of implant failure (P < 0.05). Among these, post-implant smoking and tooth position were identified as independent risk factors. The area under the curve (AUC) for tooth position was 0.695, indicating low predictive performance. Although tooth position was determined to be an independent risk factor for implant failure within two years, its predictive performance was limited.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"1581-1590"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097396/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143030337","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":"FMT reduces systemic inflammatory response in severe acute pancreatitis by increasing the abundance of intestinal <i>Bifidobacteria</i> and fecal bacteria.","authors":"Yanning Mao, Yandong Huang, Weiwei Zhang, Huiping Liang, Fengming Liu, Qi Luo, Chunqin Xu, Yi Qin, Jiawen Liu, Shaobo Tang, Huaying Liu, Xiaolong Ge","doi":"10.17305/bb.2024.11445","DOIUrl":"10.17305/bb.2024.11445","url":null,"abstract":"<p><p>Severe acute pancreatitis (SAP) is one of the leading causes of hospital admissions for gastrointestinal diseases, with a rising incidence worldwide. Intestinal microbiota dysbiosis caused by SAP exacerbates systemic inflammatory response syndrome and organ dysfunction. Fecal microbiota transplantation (FMT) has emerged as a promising therapeutic option for gastrointestinal diseases. In this study, fecal samples from healthy, control, and FMT-treated groups were analyzed using 16S rRNA sequencing to assess microbiome abundance and diversity. Composition and functional prediction analyses were conducted to explore the mechanisms underlying FMT in SAP. FMT significantly improved clinical parameters in SAP patients, including leukocyte count, C-reactive protein (CRP), neutrophil granulocyte count, lactate dehydrogenase (LDH), and calcitonin (P < 0.05). Organ failure rates significantly increased in the control group but decreased in the FMT group after treatment (P < 0.05). Fecal microbiota sequencing revealed that FMT significantly upregulated the abundance of Bifidobacterium longum among all SAP patients (P < 0.05). Receiver operating characteristic (ROC) curve analysis indicated that Bifidobacterium longum might play a critical role in the efficacy of FMT, with an area under the curve (AUC) value of 0.84. Additionally, there was a negative correlation between Bifidobacterium longum abundance and procalcitonin (PCT) levels, as well as a negative correlation between Escherichia coli abundance and both CT and Ca values (P < 0.05). The relative abundances of Bifidobacterium longum and Escherichia coli were significantly higher in the FMT group compared to the Bifidobacterium triple viable group (P < 0.05). In conclusion, this research supports FMT as a safe and effective intervention for treating SAP patients.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":"25 7","pages":"1591-1600"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097391/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144008682","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":"Epidemiological survey on prevalence and subtypes distribution of Blastocystis sp. in Southern Guizhou, China.","authors":"Xiaoyin Fu, Jiayin Lyu, Yunliang Shi, Bingying Cao, Dengyu Liu, Xi Yang, Lin Huang, Qiuguo Liang, Dejun Liao, Shanshan He","doi":"10.17305/bb.2024.11303","DOIUrl":"10.17305/bb.2024.11303","url":null,"abstract":"<p><p>Blastocystis sp. is one of the most common intestinal protozoan parasites of humans worldwide and often has genetic polymorphisms. Due to its high prevalence and the possibility of potential transmission to humans, this study was carried out to investigate the prevalence of Blastocystis sp. and characterize its subtypes (genotypes) in southern Guizhou, China. A total of 548 fecal samples were collected from hospital patients for culture-based diagnosis. PCR products were sequenced and phylogenetically analyzed to identify subtypes and analyze their distribution. 43 positive cases of infection with Blastocystis sp. were detected, resulting in an overall prevalence of 7.85% (43/548). Seven subtypes were identified: ST3 (55.81%), ST1 (25.58%), ST7 (6.98%), ST5 (4.65%), ST2 (2.33%), ST4 (2.33%), and ST15 (2.33%). ST3 demonstrated the lowest intra-ST diversity, followed by ST1. Blastocystis sp. infection in southern Guizhou was caused by seven subtypes (ST1-ST5, ST7 and ST15) of the parasite, in which ST3 was the most common subtype, followed by ST1. The lowest intra-ST diversity of ST3 may be associated with substantial interhuman transmission in Guizhou. ST15 was found for the first time in humans, suggesting that it has the potential to be a zoonotic parasite. These findings have enhanced our understanding of the epidemiology and transmission of Blastocystis sp. in Southern Guizhou, China.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"1508-1516"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097392/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142786894","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":"N6-methyladenosine methylation regulators can serve as potential biomarkers for endometriosis related infertility.","authors":"Yalun He, Jie Ding, Tonglin Bai, Yangshuo Li, Xiaolan Liang, Yiming Chen, Yi Lin, Wen Cheng, Chaoqin Yu","doi":"10.17305/bb.2024.11311","DOIUrl":"10.17305/bb.2024.11311","url":null,"abstract":"<p><p>Endometriosis (EMS) is a chronic inflammatory disease frequently associated with infertility. N6-methyladenosine (m6A) methylation, the most common form of methylation in eukaryotic mRNAs, has gained attention in the study of female reproductive diseases, including EMS and infertility. This study aimed to investigate the role of m6A regulators in EMS-related infertility. To begin, specific m6A regulators were identified by analyzing the GSE120103 dataset, followed by receiver operating characteristic (ROC) curve analysis. A nomogram model was then constructed, and unsupervised clustering of m6A regulators was performed to identify distinct m6A molecular clusters. Functional enrichment analysis of differentially expressed genes (DEGs) between these clusters, along with immune cell infiltration analysis, was subsequently conducted. In addition, the single-cell dataset GSE214411 was analyzed to explore the role of m6A regulators in various cell types. Finally, clinical samples were collected, and immunohistochemistry analysis was performed. The study identified seven key m6A regulators with significant diagnostic value for EMS-related infertility and two distinct m6A molecular clusters. Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analyses of DEGs between the clusters revealed that m6A clustering was strongly associated with immune pathways. Immune cell infiltration analysis further demonstrated that the expression levels of m6A regulators had a notable impact on immune cell infiltration. Single-cell analysis revealed that HNRNPA2B1 and HNRNPC were significantly elevated in endometrial immune cells from infertile EMS patients but notably decreased in stromal cells. Immunohistochemical staining confirmed that HNRNPA2B1 and HNRNPC expression levels were significantly higher in the eutopic endometrium of fertile women compared to ovarian EMS patients. These findings suggest that m6A regulators play critical roles in the development and progression of EMS-related infertility. Notably, HNRNPA2B1 and HNRNPC may serve as potential biomarkers for this condition.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"1540-1552"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097398/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142911264","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":"Pathological roles of ubiquitination and deubiquitination systems in sepsis-induced myocardial dysfunction.","authors":"Zhiping Wang, Simiao Sun, Lili Huang, Xinlong Chen, Huifen Xu, Hongwei Ma, Mingbing Xiao, Linhua Wang","doi":"10.17305/bb.2024.11738","DOIUrl":"10.17305/bb.2024.11738","url":null,"abstract":"<p><p>Sepsis-induced myocardial dysfunction (SIMD) is a severe complication of sepsis, characterized by impaired cardiac function and high mortality rates. Despite significant advances in understanding sepsis pathophysiology, the molecular mechanisms underlying SIMD remain incompletely elucidated. Ubiquitination and deubiquitination, critical post-translational modifications (PTMs) regulating protein stability, localization, and activity, play pivotal roles in cellular processes, such as inflammation, apoptosis, mitochondrial function, and calcium handling. Dysregulation of these systems has been increasingly implicated in the pathogenesis of SIMD. This review provides a comprehensive overview of the pathological mechanisms driving SIMD, with a focus on the classification and functions of E3 ubiquitin ligases and deubiquitinating enzymes (DUBs), their regulatory systems, and their involvement in SIMD. Dysfunction of the ubiquitin-proteasome system (UPS), often driven by altered activity of E3 ligases, accelerates the degradation of critical regulatory proteins, thereby exacerbating cardiac inflammation, oxidative stress, and apoptosis. Concurrently, imbalances in DUB activity disrupt protein homeostasis, further amplifying myocardial injury. Emerging research underscores the therapeutic potential of targeting these systems. Strategies aimed at modulating E3 ligase activity or restoring DUB balance have shown promise in preclinical studies. This review summarizes current findings on the roles of ubiquitination and deubiquitination in SIMD pathogenesis, highlights the key challenges in advancing this field, and proposes directions for future research.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":"1444-1458"},"PeriodicalIF":0.0,"publicationDate":"2025-05-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12097394/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142973647","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":"Retraction: Tocilizumab inhibits neuronal cell apoptosis and activates STAT3 in cerebral infarction rat model.","authors":"Shaojun Wang, Jun Zhou, Weijie Kang, Zhaoni Dong, Hezuo Wang","doi":"10.17305/bb.2025.12568","DOIUrl":"https://doi.org/10.17305/bb.2025.12568","url":null,"abstract":"&lt;p&gt;&lt;p&gt;Retracted article: https://www.bjbms.org/ojs/index.php/bjbms/article/view/853 Following publication, concerns were raised by readers and the public regarding the integrity of the data presented in two figures of this article: Figure 2B: An unexpected overlap was found between an image presented in this study and figures published in other articles. 1, 2, 3, 4, 5, 6, 7, 8 Figure 4: An unexpected overlap was detected within the Western blot panels, suggesting potential duplication or manipulation. The editorial office contacted all authors on 13 January 2025 and 30 January 2025 to clarify these concerns. On 4 March 2025, the corresponding author was specifically approached through both the e-mail address provided upon article submission and an institutional e-mail located online. However, no response or explanation was ever received. Following our journal's policies and guidelines from the Committee on Publication Ethics (COPE), the editors have decided to retract the article from publication due to serious concerns about the reliability and originality of the data. This retraction is intended to maintain the integrity of the scientific record. We apologize to the readership for any inconvenience caused. We thank the individuals who brought these concerns to our attention. The Editor-in-Chief has approved this retraction note. References (Affected Publications) 1Wang S, Zhou J, Kang W, Dong Z, Wang H. Tocilizumab inhibits neuronal cell apoptosis and activates STAT3 in cerebral infarction rat model. BiomolBiomed 2016;16(2):145. doi:10.1179/1743132816Y.0000000007. 2Zhu K, He Y, Xia C, Yan W, Song T, Zhang B, et al. MicroRNA-15a inhibits proliferation and induces apoptosis in CNE1 nasopharyngeal carcinoma cells [retracted in: Oncol Res. 2024;32(10):1683-1684]. Oncol Res. 2016;24(3):145-151. doi:10.3727/096504016X14611963142290. 3Yan D, Cai X, Feng Y. miR-183 modulates cell apoptosis and proliferation in tongue squamous cell carcinoma SCC25 cell line [retracted in: Oncol Res. 2024;32(10):1691-1692]. Oncol Res. 2016;24(6):399-404. doi:10.3727/096504016X14685034103239. 4Pan C, Wang D, Zhang Y, YuW.MicroRNA-1284 inhibits cell viability and induces apoptosis of ovarian cancer cell line OVCAR3. Oncol Res. 2016;24(6):429-435. doi:10.3727/096504016X14685034103518. 5Huang W, Lan X, Li X,Wang D, Sun Y, Wang Q, et al. Long non-coding RNA PVT1 promotes LPS-induced septic acute kidney injury by regulating TNFα and JNK/NF-κB pathways in HK-2 cells. Int Immunopharmacol. 2017;47:134-140. doi:10.1016/j.intimp.2017.03.030. 6Cao B, Liu C, Yang G. RETRACTED: Down-regulation of lncRNA ADAMTS9-AS2 contributes to gastric cancer development via activation of PI3K/Akt pathway. Biomed Pharmacother. 2018;107:185-193. doi:10.1016/j.biopha.2018.06.146. 7Liu Y, Song Y, Zhu X. MicroRNA-181a regulates apoptosis and autophagy process in Parkinson's disease by inhibiting p38 mitogen-activated protein kinase (MAPK)/c-Jun N-terminal kinases (JNK) signaling pathways.Med Sci Monit. ","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144043823","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":"Emerging insights into mesenchymal stem cells and exosome-based therapies for liver injury.","authors":"Shaolong Yang, Juanyu Liu, Jia Siang Khe, Alvin Jiunn Hieng Lu, Vuanghao Lim","doi":"10.17305/bb.2025.12144","DOIUrl":"https://doi.org/10.17305/bb.2025.12144","url":null,"abstract":"<p><p>Hepatic ischemia-reperfusion injury, fatty liver, liver fibrosis, liver peroxidative injury, and drug-induced liver injury are among the most common liver diseases. Mesenchymal stem cells (MSCs) possess multi-lineage differentiation potential and immunomodulatory functions. In the treatment of liver injury, MSCs can promote repair through homing effects, direct differentiation into hepatocyte-like cells (HLCs), immunomodulation, and anti-fibrotic mechanisms. Clinically, MSCs contribute to liver injury repair either directly or indirectly via the secretion of exosomes. Beyond their reparative role, MSC-derived exosomes can also serve as molecular biomarkers for the diagnosis and prognosis of liver diseases. Establishing higher-quality standards, robust auditing and evaluation systems, and conducting deeper mechanistic studies are essential prerequisites for the future clinical application of MSCs in the treatment of liver diseases.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144050971","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":"Luteolin mitigates hippocampal damage in a rat model of streptozotocin-induced diabetes.","authors":"Omur Gulsum Deniz, Hayriye Soytürk, Aydın Him, Dilek Sağir, Ebru Annaç","doi":"10.17305/bb.2025.12305","DOIUrl":"https://doi.org/10.17305/bb.2025.12305","url":null,"abstract":"<p><p>Diabetes mellitus (DM) is a chronic metabolic disorder that poses a serious threat to human health by causing long-term damage to various vital organs. It leads to insulin resistance and disrupts carbohydrate, fat, and protein metabolism. This study aimed to investigate the protective effects of luteolin (Lut) against diabetes-induced damage in the hippocampus of rats, using immunohistochemical, histopathological, biochemical, and molecular approaches. Lut [20 μg/kg, intraperitoneally (i.p.)] was administered to counteract hippocampal damage induced by diabetes, which was experimentally triggered using streptozotocin at a dose of 50 mg/kg (i.p.). The experiment lasted 28 days and included 48 rats divided into six groups of eight: Control, DM, citrate buffer (solvent), DM+Lut, Lut, and dimethyl sulfoxide (solvent). In the DM group, there was a decrease in Bcl-2 gene expression and an increase in the expression levels of Bax, caspase-3, cytochrome c, activating transcription factor-6, and inositol-requiring enzyme-1, compared to the DM+Lut group. Histological analysis revealed greater neuronal degeneration, neuroinflammation, and apoptosis in the DM group than in the DM+Lut group. Biochemical analysis also supported these findings, as indicated by increased oxidative stress index values. These results suggest that Lut mitigates the toxic effects of oxidative and endoplasmic reticulum stress, enhances antioxidant defenses, and supports hippocampal function. The findings demonstrate Lut's potential to prevent diabetes-induced hippocampal damage. Consequently, further research is strongly recommended to explore Lut as a therapeutic agent for diabetic neurodegeneration.</p>","PeriodicalId":72398,"journal":{"name":"Biomolecules & biomedicine","volume":" ","pages":""},"PeriodicalIF":0.0,"publicationDate":"2025-05-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144059825","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}