Bioscience trendsPub Date : 2025-05-09Epub Date: 2025-01-27DOI: 10.5582/bst.2024.01382
Rongfeng Zhou, Kai Sun, Ting Li, Hongzhou Lu
{"title":"Combating syphilis resurgence: China's multifaceted approach.","authors":"Rongfeng Zhou, Kai Sun, Ting Li, Hongzhou Lu","doi":"10.5582/bst.2024.01382","DOIUrl":"10.5582/bst.2024.01382","url":null,"abstract":"<p><p>Syphilis, a chronic infection caused by Treponema pallidum, is experiencing a global resurgence, posing significant public health challenges. This study examined the escalating trends of syphilis in the United States, China, and some other countries highlighting the impact of the COVID-19 pandemic, changes in sexual behavior, coinfection with the other infectious diseases such as AIDs, and the role of public health funding. The analysis revealed a stark increase in syphilis cases, particularly among high-risk groups such as men who have sex with men (MSM). China's National Syphilis Control Program (NSCP), initiated in 2010, is a comprehensive approach to syphilis management that incorporates health education, access to testing and treatment, partner notification, safe sex promotion, community interventions, and stigma reduction. The success of the NSCP in reducing early syphilis incidence rates and congenital syphilis in Guangdong Province, that may be served as a model for international syphilis control efforts. This study highlights the necessity for targeted public health interventions and the importance of robust healthcare infrastructure in combating the syphilis epidemic.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":" ","pages":"140-143"},"PeriodicalIF":5.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045396","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bioscience trendsPub Date : 2025-05-09Epub Date: 2025-02-01DOI: 10.5582/bst.2024.01351
Qianjie Xu, Xiaosheng Li, Yuliang Yuan, Zuhai Hu, Wei Zhang, Ying Wang, Ai Shen, Haike Lei
{"title":"Development and validation of a nomogram model for predicting immune-mediated hepatitis in cancer patients treated with immune checkpoint inhibitors.","authors":"Qianjie Xu, Xiaosheng Li, Yuliang Yuan, Zuhai Hu, Wei Zhang, Ying Wang, Ai Shen, Haike Lei","doi":"10.5582/bst.2024.01351","DOIUrl":"10.5582/bst.2024.01351","url":null,"abstract":"<p><p>Immune checkpoint inhibitors (ICIs) have been widely used in various types of cancer, but they have also led to a significant number of adverse events, including ICI-induced immune-mediated hepatitis (IMH). This study aimed to explore the risk factors for IMH in patients treated with ICIs and to develop and validate a new nomogram model to predict the risk of IMH. Detailed information was collected between January 1, 2020, and December 31, 2023. Univariate logistic regression analysis was used to assess the impact of each clinical variable on the occurrence of IMH, followed by stepwise multivariate logistic regression analysis to determine independent risk factors for IMH. A nomogram model was constructed based on the results of the multivariate analysis. The performance of the nomogram model was evaluated via the area under the receiver operating characteristic curve (AUC), calibration curves, decision curve analysis (DCA), and clinical impact curve (CIC) analysis. A total of 216 (8.82%) patients developed IMH. According to stepwise multivariate logistic analysis, hepatic metastasis, the TNM stage, the WBC count, LYM, ALT, TBIL, ALB, GLB, and ADA were identified as risk factors for IMH. The AUC for the nomogram model was 0.817 in the training set and 0.737 in the validation set. The calibration curves, DCA results, and CIC results indicated that the nomogram model had good predictive accuracy and clinical utility. The nomogram model is intuitive and straightforward, making it highly suitable for rapid assessment of the risk of IMH in patients receiving ICI therapy in clinical practice. Implementing this model enables early adoption of preventive and therapeutic strategies, ultimately reducing the likelihood of immune-related adverse events (IRAEs), and especially IMH.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":" ","pages":"202-210"},"PeriodicalIF":5.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143078596","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Investigating perioperative pressure injuries and factors influencing them with imbalanced samples using a Synthetic Minority Over-sampling Technique.","authors":"Yiwei Zhou, Jian Wu, Xin Xu, Guirong Shi, Ping Liu, Liping Jiang","doi":"10.5582/bst.2025.01013","DOIUrl":"https://doi.org/10.5582/bst.2025.01013","url":null,"abstract":"<p><p>This study investigates the use of machine learning (ML) models combined with a Synthetic Minority Over-sampling Technique (SMOTE) and its variants to predict perioperative pressure injuries (PIs) in an imbalanced dataset. PIs are a significant healthcare problem, often leading to prolonged hospitalization and increased medical costs. Conventional risk assessment scales are limited in their ability to predict PIs accurately, prompting the exploration of ML techniques to address this challenge.We utilized data from 7,292 patients admitted to a tertiary care hospital in Shanghai between May 2017 and July 2023, with a final dataset of 2,972 patients, including 158 with PIs. Seven ML algorithms-Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), Extreme Gradient Boosting (XGBoost), Extra Trees (ET), K-Nearest Neighbors (KNN), and Decision Trees (DT)-were used in conjunction with SMOTE, SMOTE+ENN, Borderline-SMOTE, ADASYN, and GAN to balance the dataset and improve model performance.Results revealed significant improvements in model performance when SMOTE and its variants were used. For instance, the XGBoost model hadan AUC of 0.996 with SMOTE, compared to 0.800 on raw data. SMOTE+ENN and Borderline-SMOTE further enhanced the models' ability to identify minority classes. External validation indicatedthat XGBoost, RF, and ET exhibited the highest stability and accuracy, with XGBoost having an AUC of 0.977. SHAP analysis revealed that factors such as anesthesia grade, age, and serum albumin levels significantly influenced model predictions.In conclusion, integrating SMOTE with ML algorithms effectively addressed a data imbalance and improved the prediction of perioperative PIs. Future work should focus on refining SMOTE techniques and exploring their application to larger, multi-center datasets to enhance the generalizability of these findings, and especially for diseaseswith a lowincidence.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":"19 2","pages":"173-188"},"PeriodicalIF":5.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144062125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bioscience trendsPub Date : 2025-05-09Epub Date: 2025-04-15DOI: 10.5582/bst.2025.01108
Ya-Nan Ma, Zijie Wang, Wei Tang
{"title":"Deep cervical lymphaticovenous anastomosis in Alzheimer's disease: A promising frontier or premature enthusiasm?","authors":"Ya-Nan Ma, Zijie Wang, Wei Tang","doi":"10.5582/bst.2025.01108","DOIUrl":"10.5582/bst.2025.01108","url":null,"abstract":"<p><p>Alzheimer's disease (AD) is a progressive neurodegenerative disorder marked by β-amyloid accumulation, tau pathology, and impaired metabolic waste clearance. Recent evidence suggests that meningeal lymphatic vessels (MLVs) contribute significantly to the drainage of cerebrospinal and interstitial fluid. Deep cervical lymphaticovenous anastomosis (LVA), a microsurgical technique designed to enhance this drainage, has been proposed as a potential therapeutic strategy for AD. Preliminary findings from exploratory studies in China indicate possible cognitive and biomarker improvements, but current evidence is limited by small sample sizes, non-randomized designs, and methodological variability. Without standardized protocols and rigorous clinical validation, the broader applicability of LVA remains uncertain. Further investigation through multicenter, controlled trials is essential to objectively assessing its safety, efficacy, and clinical relevance in the management of AD.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":"19 2","pages":"144-149"},"PeriodicalIF":5.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143958319","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bioscience trendsPub Date : 2025-05-09Epub Date: 2025-03-03DOI: 10.5582/bst.2024.01424
Yanmei Peng, Collin M Costello, Zhaoheng Liu, Ashok V Kumar, Zhong Gu, Nikhila Kosuru, Jason A Wampfler, Pedro A Reck Dos Santos, Jonathan D'Cunha, Vinicius Ernani, Ping Yang
{"title":"The profile and clinical predicting effect of non-rash dermatologic toxicity related to targeted therapy in stage-IV non-small cell lung cancer patients.","authors":"Yanmei Peng, Collin M Costello, Zhaoheng Liu, Ashok V Kumar, Zhong Gu, Nikhila Kosuru, Jason A Wampfler, Pedro A Reck Dos Santos, Jonathan D'Cunha, Vinicius Ernani, Ping Yang","doi":"10.5582/bst.2024.01424","DOIUrl":"10.5582/bst.2024.01424","url":null,"abstract":"<p><p>Dermatologic toxicities associated with targeted therapies may impact drug intolerance and predict drug response, among which rash is most frequently reported and well delineated. However, the profile and effect of non-rash dermatologic toxicity are not fully understood. We identified stage-IV non-small cell lung cancer patients diagnosed at Mayo Clinic in 2006-2019 and systematically analyzed demographics, targeted agents, toxicity, response, and survival outcomes of patients who received targeted therapy. Five toxicity subgroups-none, only non-rash dermatologic, concurrent non-rash and rash (concurrent) dermatologic, only rash, and others-were compared; multivariable survival analyses employed Cox Proportional Hazard models. This study included 533 patients who had taken targeted therapies: 36 (6.8%) had no toxicity, 26 (4.9%) only non-rash dermatologic, 193 (36.2%) only rash, 134 (25.1%) concurrent dermatologic, 144 (27.0%) other toxicities. Non-rash dermatologic toxicities predominately included xerosis (12.8%), pruritus (8.5%), paronychia (7.0%). Rash was the most frequent (59.4%) and the earliest occurring (21 median onset days [MOD]) dermatologic toxicity; paronychia was the latest (69 MOD) occurring. In 329 epidermal growth factor receptor inhibitors-treated patients with dermatologic toxicity, mild toxicity occurred the most frequently in patients with only non-rash (81.8%), then those with only rash (64.8%), and the least in the concurrent (50.4%, P=0.013). Patients with concurrent dermatologic toxicities had a significantly higher response rate (67.9%) than those with only non-rash (53.8%) or only rash (41.1%, p < 0.001). Multivariable analysis demonstrated concurrent dermatologic toxicity independently predicted a lower risk of death (harzard ratio [HR] 0.48 [0.30-0.77], p < 0.001). Compared to rash, non-rash dermatologic toxicity might be a stronger predictor of better treatment response and longer survival in patients who received targeted therapy.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":" ","pages":"221-231"},"PeriodicalIF":5.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143536371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Risk stratification model for predicting distant metastasis after hepatectomy for hepatocellular carcinoma: A multi-institutional analysis.","authors":"Ming-Da Wang, Shao-Dong Lv, Yong-Kang Diao, Jia-Hao Xu, Fu-Jie Chen, Yu-Chen Li, Wei-Min Gu, Hong Wang, Yu-Ze Yang, Yong-Yi Zeng, Ya-Hao Zhou, Xian-Ming Wang, Jie Li, Ting-Hao Chen, Ying-Jian Liang, Lan-Qing Yao, Li-Hui Gu, Han Wu, Xin-Fei Xu, Chao Li, Feng Shen, Tian Yang","doi":"10.5582/bst.2024.01387","DOIUrl":"10.5582/bst.2024.01387","url":null,"abstract":"<p><p>Distant metastasis after hepatectomy for hepatocellular carcinoma (HCC) significantly impairs long-term outcome. This study aimed to identify patterns, risk factors, and develop a prediction model for distant metastasis at first recurrence following HCC resection. This multi-center retrospective study included patients undergoing curative hepatectomy for HCC. Risk factors for distant metastasis were identified using Cox regression. A nomogram was constructed and validated using the concordance index (C-index) and calibration curves. Among 2,705 patients, 1,507 experienced recurrence, with 342 (22.7 per cent) developing distant metastasis. Common metastatic sites included extrahepatic vessels (36.2 per cent), lungs (26.0 per cent), and lymph nodes (20.8 per cent). Patients with distant metastasis had significantly worse 5-year overall survival compared to those with intrahepatic recurrence (9.1 versus 41.1 per cent, p < 0.001). Independent risk factors included preoperative tumor rupture, tumor size over 5.0 cm, multiple tumors, satellite nodules, macro- and microvascular invasion, narrow resection margin, and intraoperative blood transfusion. The nomogram demonstrated excellent discrimination (C-index > 0.85) and accurately stratified patients into three risk categories. In conclusion, distant metastasis at first recurrence following HCC resection was associated with poor prognosis. The proposed nomogram facilitates accurate prediction of distant metastasis, potentially informing personalized postoperative monitoring and interventions for high-risk patients.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":" ","pages":"211-220"},"PeriodicalIF":5.7,"publicationDate":"2025-05-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143566002","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bioscience trendsPub Date : 2025-03-06Epub Date: 2025-01-25DOI: 10.5582/bst.2024.01360
Jun-Sik Kim, Yongeun Cho, Jeongmi Lee, Heewon Cho, Sukmin Han, Yeongyeong Lee, Yeji Jeon, Tai Kyoung Kim, Ju-Mi Hong, Jeonghyeong Im, Minshik Chae, Yujeong Lee, Hyunwook Kim, Sang Yoon Park, Sung Hyun Kim, Joung Han Yim, Dong-Gyu Jo
{"title":"N<sup>5</sup>-((perfluorophenyl)amino)glutamine regulates BACE1, tau phosphorylation, synaptic function, and neuroinflammation in Alzheimer's disease models.","authors":"Jun-Sik Kim, Yongeun Cho, Jeongmi Lee, Heewon Cho, Sukmin Han, Yeongyeong Lee, Yeji Jeon, Tai Kyoung Kim, Ju-Mi Hong, Jeonghyeong Im, Minshik Chae, Yujeong Lee, Hyunwook Kim, Sang Yoon Park, Sung Hyun Kim, Joung Han Yim, Dong-Gyu Jo","doi":"10.5582/bst.2024.01360","DOIUrl":"10.5582/bst.2024.01360","url":null,"abstract":"<p><p>Alzheimer's disease (AD) is the most common type of dementia. Its incidence is rising rapidly as the global population ages, leading to a significant social and economic burden. AD involves complex pathologies, including amyloid plaque accumulation, synaptic dysfunction, and neuroinflammation. This study explores the therapeutic potential of N <sup>5</sup> -((perfluorophenyl)amino)glutamine (RA-PF), a derivative of γ-glutamyl-N'-(2-hydroxyphenyl)hydrazide (Ramalin), a compound with antioxidant and anti-inflammatory properties. Administration of RA-PF to 5xFAD mice decreases BACE1, reduces Aβ plaque deposition, inhibits microglial activation, restores synaptic transmission, and improves mitochondrial motility, leading to the recovery of cognitive function. Additionally, RA-PF treatment in 3xTg-AD mice alleviates anxiety-like behaviors, tau phosphorylation via inactivating GSK-3β, and BACE1 expression. Further transcriptomic analysis reveals RA-PF treatment in AD mice models recovers phagosome, inflammation, NOD-like receptor, presynaptic membrane, and postsynaptic membrane related signaling pathways. These findings suggest that RA-PF effectively targets multiple aspects of AD pathology, offering a novel multi-target approach for AD treatment.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":" ","pages":"102-115"},"PeriodicalIF":5.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045548","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bioscience trendsPub Date : 2025-03-06Epub Date: 2025-01-25DOI: 10.5582/bst.2024.01362
Na Liu, Lingling Yang, Xiuqing Yao, Yaxi Luo
{"title":"From light to insight: Functional near-infrared spectroscopy for unravelling cognitive impairment during task performance.","authors":"Na Liu, Lingling Yang, Xiuqing Yao, Yaxi Luo","doi":"10.5582/bst.2024.01362","DOIUrl":"10.5582/bst.2024.01362","url":null,"abstract":"<p><p>Cognitive impairment refers to the impairment of higher brain functions such as perception, thinking or memory that affects the individual's ability to perform daily or social activities. Studies have found that changes in neuronal activity during tasks in patients with cognitive impairment are closely related to changes in cerebral cortical hemodynamics. Functional near-infrared spectroscopy is an indirect method to measure neural activity based on changes in blood oxygen concentration in the cerebral cortex. Due to its strong anti-motion interference, high compatibility, and almost no restriction on participants and environment, it has shown great potential in the research field of cognitive impairment. Recognizing these benefits, this comprehensive review systematically elucidates the rationale, historical development, advantages and disadvantages of functional near-infrared spectroscopy, and also discusses the applications of combining functional near-infrared spectroscopy with other detection techniques. Additionally, this review summarized how functional near-infrared spectroscopy can be applied to cognitive impairment caused by different diseases, ultimately aiding the study of neural mechanisms of cognitive activities, which is crucial for the diagnosis, differentiation and treatment of cognitive impairment.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":" ","pages":"53-71"},"PeriodicalIF":5.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045502","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bioscience trendsPub Date : 2025-03-06Epub Date: 2025-01-25DOI: 10.5582/bst.2024.01370
Wenli Zhang, Bo Liu, Tingsong Zhao, Shuyan Qie
{"title":"Multimodal optimal matching and augmentation method for small sample gesture recognition.","authors":"Wenli Zhang, Bo Liu, Tingsong Zhao, Shuyan Qie","doi":"10.5582/bst.2024.01370","DOIUrl":"10.5582/bst.2024.01370","url":null,"abstract":"<p><p>In human-computer interaction, gesture recognition based on physiological signals offers advantages such as a more natural and fast interaction mode and less constrained by the environment than visual-based. Surface electromyography-based gesture recognition has significantly progressed. However, since individuals have physical differences, researchers must collect data multiple times from each user to train the deep learning model. This data acquisition process can be particularly burdensome for non-healthy users. Researchers are currently exploring transfer learning and data augmentation techniques to enhance the accuracy of small-sample gesture recognition models. However, challenges persist, such as negative transfer and limited diversity in training samples, leading to suboptimal recognition performance. Therefore, We introduce motion information into sEMG-based recognition and propose a multimodal optimal matching and augmentation method for small sample gesture recognition, achieving efficient gesture recognition with only one acquisition per gesture. Firstly, this method utilizes the optimal matching signal selection module to select the most similar signals from the existing data to the new user as the training set, reducing inter-domain differences. Secondly, the similarity calculation augmentation module enhances the diversity of the training set. Finally, the Modal-type embedding enhances the information interaction between each mode signal. We evaluated the effectiveness on Self-collected Stroke Patient, the Ninapro DB1 dataset and the Ninapro DB5 dataset and achieved accuracies of 93.69%, 91.65% and 98.56%, respectively. These results demonstrate that the method achieved performance comparable to traditional recognition models while significantly reducing the collected data.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":" ","pages":"125-139"},"PeriodicalIF":5.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045547","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Bioscience trendsPub Date : 2025-03-06Epub Date: 2025-01-25DOI: 10.5582/bst.2024.01305
Yingying Zhou, Lei Dou, Luyao Wang, Jiajie Chen, Ruxue Mao, Lingqiang Zhu, Dan Liu, Kai Zheng
{"title":"Growth and differentiation factor 15: An emerging therapeutic target for brain diseases.","authors":"Yingying Zhou, Lei Dou, Luyao Wang, Jiajie Chen, Ruxue Mao, Lingqiang Zhu, Dan Liu, Kai Zheng","doi":"10.5582/bst.2024.01305","DOIUrl":"10.5582/bst.2024.01305","url":null,"abstract":"<p><p>Growth and differentiation factor 15 (GDF15), a member of the transforming growth factor-βsuperfamily, is considered a stress response factor and has garnered increasing attention in recent years due to its roles in neurological diseases. Although many studies have suggested that GDF15 expression is elevated in patients with neurodegenerative diseases (NDDs), glioma, and ischemic stroke, the effects of increased GDF15 expression and the potential underlying mechanisms remain unclear. Notably, many experimental studies have shown the multidimensional beneficial effects of GDF15 on NDDs, and GDF15 overexpression is able to rescue NDD-associated pathological changes and phenotypes. In glioma, GDF15 exerts opposite effects, it is both protumorigenic and antitumorigenic. The causes of these conflicting findings are not comprehensively clear, but inhibiting GDF15 is helpful for suppressing tumor progression. GDF15 is also regarded as a biomarker of poor clinical outcomes in ischemic stroke patients, and targeting GDF15 may help prevent this disease. Thus, we systematically reviewed the synthesis, transcriptional regulation, and biological functions of GDF15 and its related signaling pathways within the brain. Furthermore, we explored the potential of GDF15 as a therapeutic target and assessed its clinical applicability in interventions for brain diseases. By integrating the latest research findings, this study provides new insights into the future treatment of neurological diseases.</p>","PeriodicalId":8957,"journal":{"name":"Bioscience trends","volume":" ","pages":"72-86"},"PeriodicalIF":5.7,"publicationDate":"2025-03-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143045503","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}