Pub Date : 2025-11-28DOI: 10.11817/j.issn.1672-7347.2025.250199
Yanni Hou, Xiaoqing Zhang, Jun Liu, Jingdong Wu
Ultraviolet (UV) radiation, one of the critical environmental carcinogenic factors, promotes skin photoaging and carcinogenesis by inducing DNA damage, oxidative stress, and chronic inflammatory cascades. N6-methyladenosine (m6A)-modifying enzymes (writers, erasers, and readers) play bidirectional regulatory roles in UV-mediated skin pathology. In photoaging, the reactive oxygen species (ROS)-m6A axis accelerates collagen degradation and epithelial-mesenchymal transition (EMT) through modulation of matrix metalloproteinases (MMPs), inflammatory mediators, DNA damage repair, apoptosis, and collagen metabolism. In skin cancers, m6A regulators promote tumor progression by influencing oncogenic signaling, proliferation, invasion, metastasis, and immune evasion. Bioactive monomeric compounds derived from traditional Chinese medicine, including polyphenols, saponins, and alkaloids, can regulate the activity of m6A enzymes to interfere with photoaging and UV-induced skin carcinogenesis. This study integrates current evidence to establish an m6A-targeted epigenetic intervention framework for UV-induced skin injury and highlights the potential of synergistic multi-component m6A-modulating therapeutic strategies as a future research priority.
{"title":"[Role of m6A methylation modification in photoaging and ultraviolet-induced skin cancers].","authors":"Yanni Hou, Xiaoqing Zhang, Jun Liu, Jingdong Wu","doi":"10.11817/j.issn.1672-7347.2025.250199","DOIUrl":"10.11817/j.issn.1672-7347.2025.250199","url":null,"abstract":"<p><p>Ultraviolet (UV) radiation, one of the critical environmental carcinogenic factors, promotes skin photoaging and carcinogenesis by inducing DNA damage, oxidative stress, and chronic inflammatory cascades. N6-methyladenosine (m6A)-modifying enzymes (writers, erasers, and readers) play bidirectional regulatory roles in UV-mediated skin pathology. In photoaging, the reactive oxygen species (ROS)-m6A axis accelerates collagen degradation and epithelial-mesenchymal transition (EMT) through modulation of matrix metalloproteinases (MMPs), inflammatory mediators, DNA damage repair, apoptosis, and collagen metabolism. In skin cancers, m6A regulators promote tumor progression by influencing oncogenic signaling, proliferation, invasion, metastasis, and immune evasion. Bioactive monomeric compounds derived from traditional Chinese medicine, including polyphenols, saponins, and alkaloids, can regulate the activity of m6A enzymes to interfere with photoaging and UV-induced skin carcinogenesis. This study integrates current evidence to establish an m6A-targeted epigenetic intervention framework for UV-induced skin injury and highlights the potential of synergistic multi-component m6A-modulating therapeutic strategies as a future research priority.</p>","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"2017-2030"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144197","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}
Pub Date : 2025-11-28DOI: 10.11817/j.issn.1672-7347.2025.250313
Yangyang Wang, Lihua Liu, Meiyun Li
Immune checkpoint inhibitors (ICIs) play a significant role in tumor treatment, but the immune-related adverse events (irAEs), which brings about have also attracted much attention. Among them, toxic epidermal necrolysis (TEN) is one of the most severe skin toxic reactions. This article reports a case of a bladder cancer patient who developed TEN after receiving ICIs treatment. The male patient was diagnosed with bladder cancer in November 2023. On April 29, 2024, he was admitted to the Third Hospital of Changsha for antitumor treatment. In May 2024, he developed immune-related myocarditis after treatment with toripalimab. On July 6, 2024, the patient switched to envafolimab treatment, and on July 16, he developed rashes and eventually progressed to TEN. After treatment with glucocorticoids and related symptomatic measures, the patient improved. TEN is a rare but serious irAE in ICIs treatment. Suspected patients should be intervened early, and patients who have already developed it should be actively treated, in order to enhance the understanding and management of TEN caused by ICIs treatment.
{"title":"Toxic epidermal necrolysis associated with immune checkpoint inhibitors for bladder cancer: A case report.","authors":"Yangyang Wang, Lihua Liu, Meiyun Li","doi":"10.11817/j.issn.1672-7347.2025.250313","DOIUrl":"10.11817/j.issn.1672-7347.2025.250313","url":null,"abstract":"<p><p>Immune checkpoint inhibitors (ICIs) play a significant role in tumor treatment, but the immune-related adverse events (irAEs), which brings about have also attracted much attention. Among them, toxic epidermal necrolysis (TEN) is one of the most severe skin toxic reactions. This article reports a case of a bladder cancer patient who developed TEN after receiving ICIs treatment. The male patient was diagnosed with bladder cancer in November 2023. On April 29, 2024, he was admitted to the Third Hospital of Changsha for antitumor treatment. In May 2024, he developed immune-related myocarditis after treatment with toripalimab. On July 6, 2024, the patient switched to envafolimab treatment, and on July 16, he developed rashes and eventually progressed to TEN. After treatment with glucocorticoids and related symptomatic measures, the patient improved. TEN is a rare but serious irAE in ICIs treatment. Suspected patients should be intervened early, and patients who have already developed it should be actively treated, in order to enhance the understanding and management of TEN caused by ICIs treatment.</p>","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"2031-2037"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949935/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144219","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}
Pub Date : 2025-11-28DOI: 10.11817/j.issn.1672-7347.2025.250194
Ruihua Huang, Yongyu Yang, Shuhan Zhou, Xiaoyun Zhu, Changping Hu
<p><strong>Objectives: </strong>Metabolic dysfunction-associated steatohepatitis (MASH), a progressive subtype of metabolic dysfunction-associated steatotic liver disease (MASLD), is characterized by hepatic steatosis, lobular inflammation, and hepatocyte ballooning, and may further progress to liver fibrosis and cirrhosis. Lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1), a member of the scavenger receptor family, recognizes and binds oxidized low-density lipoprotein. This study aims to investigate the role of LOX-1 in MASH progression.</p><p><strong>Methods: </strong>LOX-1 expression in MASLD mouse liver was analyzed using Gene Expression Omnibus (GEO) datasets. Immunofluorescence staining was performed to detect LOX-1 and alpha-smooth muscle actin (α-SMA) levels and co-localization in fibrotic liver tissues and LX-2 cells. <i>LOX-1</i> knockout (<i>Lox-1</i><sup>-/-</sup>) mice were generated using CRISPR/caspase-9 (Cas9) and genotyped by PCR and Sanger sequencing. Wild-type (WT) and <i>Lox-1</i><sup>-/-</sup> mice were randomized into control and Western diet model groups. Serum and liver samples were collected for alanine aminotransferase (ALT) and aspartate aminotransferase (AST) measurement by biochemical kits, liver structure evaluation by hematoxylin and eosin (HE) staining, collagen deposition by Masson staining, lipid accumulation by Oil Red O staining, and fibrotic marker gene expression by real-time quantitative PCR (RT-qPCR). Network pharmacology and search tool for the retrieval of interacting genes/proteins (STRING)-based protein-protein interaction (PPI) with Gene Ontology (GO) enrichment were used to predict downstream targets and pathways.</p><p><strong>Results: </strong>The results from the GEO datasets GSE30552 and GSE40041 indicated <i>LOX-1</i> mRNA was upregulated in high fat diet (HFD) and bile duct ligation (BDL) mouse models (both <i>P</i><0.001). LOX-1 and α-SMA levels were elevated in fibrotic liver tissues. <i>Lox-1</i><sup>-/-</sup> mice were successfully established. Biochemical tests showed that serum AST and ALT levels were significantly elevated in WT mice fed a Western diet (both <i>P</i><0.001), and these levels decreased after <i>LOX-1</i> knockout (both <i>P</i><0.05). HE staining revealed that WT mice on the Western diet exhibited marked hepatocellular ballooning degeneration, steatosis, inflammatory cell infiltration, and periportal fibroplasia, which were significantly ameliorated by <i>LOX-1</i> knockout. Masson staining demonstrated increased blue-stained collagen fibers in the liver tissues of WT mice fed the Western diet compared with control-diet mice, and <i>LOX-1</i> knockout inhibited collagen fiber deposition (all <i>P</i><0.05). RT‑qPCR results showed that hepatic mRNA levels of <i>Acta2</i>, <i>Col1a1</i>, and <i>Timp1</i> were significantly increased in Western diet-fed mice, and <i>LOX-1</i> knockout reduced the expression of these fibrogenic marker genes. Oil Red O staining in
{"title":"<i>LOX</i><b><i>-</i></b><i>1</i> gene knockout improves metabolic dysfunction<b>-</b>associated steatohepatitis in mice.","authors":"Ruihua Huang, Yongyu Yang, Shuhan Zhou, Xiaoyun Zhu, Changping Hu","doi":"10.11817/j.issn.1672-7347.2025.250194","DOIUrl":"10.11817/j.issn.1672-7347.2025.250194","url":null,"abstract":"<p><strong>Objectives: </strong>Metabolic dysfunction-associated steatohepatitis (MASH), a progressive subtype of metabolic dysfunction-associated steatotic liver disease (MASLD), is characterized by hepatic steatosis, lobular inflammation, and hepatocyte ballooning, and may further progress to liver fibrosis and cirrhosis. Lectin-like oxidized low-density lipoprotein receptor-1 (LOX-1), a member of the scavenger receptor family, recognizes and binds oxidized low-density lipoprotein. This study aims to investigate the role of LOX-1 in MASH progression.</p><p><strong>Methods: </strong>LOX-1 expression in MASLD mouse liver was analyzed using Gene Expression Omnibus (GEO) datasets. Immunofluorescence staining was performed to detect LOX-1 and alpha-smooth muscle actin (α-SMA) levels and co-localization in fibrotic liver tissues and LX-2 cells. <i>LOX-1</i> knockout (<i>Lox-1</i><sup>-/-</sup>) mice were generated using CRISPR/caspase-9 (Cas9) and genotyped by PCR and Sanger sequencing. Wild-type (WT) and <i>Lox-1</i><sup>-/-</sup> mice were randomized into control and Western diet model groups. Serum and liver samples were collected for alanine aminotransferase (ALT) and aspartate aminotransferase (AST) measurement by biochemical kits, liver structure evaluation by hematoxylin and eosin (HE) staining, collagen deposition by Masson staining, lipid accumulation by Oil Red O staining, and fibrotic marker gene expression by real-time quantitative PCR (RT-qPCR). Network pharmacology and search tool for the retrieval of interacting genes/proteins (STRING)-based protein-protein interaction (PPI) with Gene Ontology (GO) enrichment were used to predict downstream targets and pathways.</p><p><strong>Results: </strong>The results from the GEO datasets GSE30552 and GSE40041 indicated <i>LOX-1</i> mRNA was upregulated in high fat diet (HFD) and bile duct ligation (BDL) mouse models (both <i>P</i><0.001). LOX-1 and α-SMA levels were elevated in fibrotic liver tissues. <i>Lox-1</i><sup>-/-</sup> mice were successfully established. Biochemical tests showed that serum AST and ALT levels were significantly elevated in WT mice fed a Western diet (both <i>P</i><0.001), and these levels decreased after <i>LOX-1</i> knockout (both <i>P</i><0.05). HE staining revealed that WT mice on the Western diet exhibited marked hepatocellular ballooning degeneration, steatosis, inflammatory cell infiltration, and periportal fibroplasia, which were significantly ameliorated by <i>LOX-1</i> knockout. Masson staining demonstrated increased blue-stained collagen fibers in the liver tissues of WT mice fed the Western diet compared with control-diet mice, and <i>LOX-1</i> knockout inhibited collagen fiber deposition (all <i>P</i><0.05). RT‑qPCR results showed that hepatic mRNA levels of <i>Acta2</i>, <i>Col1a1</i>, and <i>Timp1</i> were significantly increased in Western diet-fed mice, and <i>LOX-1</i> knockout reduced the expression of these fibrogenic marker genes. Oil Red O staining in","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"2038-2050"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949932/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144217","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}
Objectives: The global prevalence of type 2 diabetes mellitus (T2DM) continues to rise, and cognitive impairment caused by T2DM is particularly common among elderly patients. This study aims to explore the influencing factors of cognitive function decline in elderly patients with T2DM, so as to provide references for the prevention of cognitive impairment in elderly patients with T2DM.
Methods: A total of 376 patients aged over 60 years with T2DM without cognitive impairment who visited the Department of Geriatrics and Endocrinology of Third Xiangya Hospital for the first time from June 2019 to December 2020 were selected. General information, lifestyle behaviors, laboratory-related indicators, activities of daily living, and depression scores were collected. One year after discharge, cognitive function was reassessed. According to the reassessment scores, patients were divided into a cognitive function maintenance group and a cognitive function decline group. Logistic regression analysis was used to explore the risk factors for cognitive function decline in elderly patients with T2DM.
Results: The incidence of cognitive function decline in elderly patients with T2DM at 1 year was 13.3%. Univariate analysis revealed that there were statistically significant differences between the cognitive function decline group and the cognitive function maintenance group in age, educational level, marital status, smoking history, amount of physical exercise, housework performance, Instrumental Activities of Daily Living (IADL) score, and 2 hours postprandial glucose (2hPG) (P<0.05). Multivariate logistic regression analysis showed that age (OR=2.795, 95% CI 1.785 to 4.375, P<0.001), 2hPG (OR=1.232, 95% CI 1.087 to 1.397, P=0.001), housework performance (OR=2.438, 95% CI 1.017 to 5.844, P=0.046), and physical exercise time ≥1 hour/day (OR=0.107, 95% CI 0.012 to 0.916, P=0.041) were independent influencing factors for cognitive function decline in patients with T2DM.
Conclusions: Advanced age, high 2hPG, less housework, and physical exercise time <1 hour/day are risk factors for cognitive function decline in patients with T2DM. Reasonable control of postprandial blood glucose and increasing physical activity and housework time may help delay cognitive function decline in patients with T2DM.
2型糖尿病（T2DM）的全球患病率持续上升，由T2DM引起的认知功能障碍在老年患者中尤为常见。本研究旨在探讨老年T2DM患者认知功能下降的影响因素，为老年T2DM患者认知功能障碍的预防提供参考。方法：选取2019年6月至2020年12月湘雅第三医院老年与内分泌科首次就诊的60岁以上无认知功能障碍T2DM患者376例。收集一般信息、生活方式行为、实验室相关指标、日常生活活动和抑郁评分。出院一年后，重新评估认知功能。根据再评估得分将患者分为认知功能维持组和认知功能下降组。采用Logistic回归分析探讨老年T2DM患者认知功能下降的危险因素。结果：老年T2DM患者1年认知功能下降发生率为13.3%。单因素分析显示，认知功能下降组与认知功能维持组在年龄、受教育程度、婚姻状况、吸烟史、体育锻炼量、家务劳动表现、日常生活工具活动（IADL）评分、餐后2小时血糖（2hPG） （POR=2.795, 95% CI 1.785 ~ 4.375， POR=1.232, 95% CI 1.087 ~ 1.397， P=0.001）、家务劳动表现（OR=2.438， P=0.001）、家务劳动表现（OR=2.438， P=0.001）等方面差异均有统计学意义。95% CI 1.017 ~ 5.844， P=0.046)、体育锻炼时间≥1小时/天（OR=0.107, 95% CI 0.012 ~ 0.916， P=0.041）是T2DM患者认知功能下降的独立影响因素。结论：高龄、2hPG高、家务劳动少、体育锻炼时间多
{"title":"[Influencing factors of cognitive function decline in elderly patients with type 2 diabetes mellitus].","authors":"Hui Zeng, Guanxiu Tang, Qian Liu, Yue He, Hongmei Zhou, Pingping Yan","doi":"10.11817/j.issn.1672-7347.2025.250081","DOIUrl":"10.11817/j.issn.1672-7347.2025.250081","url":null,"abstract":"<p><strong>Objectives: </strong>The global prevalence of type 2 diabetes mellitus (T2DM) continues to rise, and cognitive impairment caused by T2DM is particularly common among elderly patients. This study aims to explore the influencing factors of cognitive function decline in elderly patients with T2DM, so as to provide references for the prevention of cognitive impairment in elderly patients with T2DM.</p><p><strong>Methods: </strong>A total of 376 patients aged over 60 years with T2DM without cognitive impairment who visited the Department of Geriatrics and Endocrinology of Third Xiangya Hospital for the first time from June 2019 to December 2020 were selected. General information, lifestyle behaviors, laboratory-related indicators, activities of daily living, and depression scores were collected. One year after discharge, cognitive function was reassessed. According to the reassessment scores, patients were divided into a cognitive function maintenance group and a cognitive function decline group. Logistic regression analysis was used to explore the risk factors for cognitive function decline in elderly patients with T2DM.</p><p><strong>Results: </strong>The incidence of cognitive function decline in elderly patients with T2DM at 1 year was 13.3%. Univariate analysis revealed that there were statistically significant differences between the cognitive function decline group and the cognitive function maintenance group in age, educational level, marital status, smoking history, amount of physical exercise, housework performance, Instrumental Activities of Daily Living (IADL) score, and 2 hours postprandial glucose (2hPG) (<i>P</i><0.05). Multivariate logistic regression analysis showed that age (<i>OR</i>=2.795, 95% <i>CI</i> 1.785 to 4.375, <i>P</i><0.001), 2hPG (<i>OR</i>=1.232, 95% <i>CI</i> 1.087 to 1.397, <i>P</i>=0.001), housework performance (<i>OR</i>=2.438, 95% <i>CI</i> 1.017 to 5.844, <i>P</i>=0.046), and physical exercise time ≥1 hour/day (<i>OR</i>=0.107, 95% <i>CI</i> 0.012 to 0.916, <i>P</i>=0.041) were independent influencing factors for cognitive function decline in patients with T2DM.</p><p><strong>Conclusions: </strong>Advanced age, high 2hPG, less housework, and physical exercise time <1 hour/day are risk factors for cognitive function decline in patients with T2DM. Reasonable control of postprandial blood glucose and increasing physical activity and housework time may help delay cognitive function decline in patients with T2DM.</p>","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"2062-2070"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949928/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144227","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}
Pub Date : 2025-11-28DOI: 10.11817/j.issn.1672-7347.2025.250433
Xiong Tang, Feifei Wu, Yafang He, Han Wu, Jinfan Zhang, Haimiao Huang, Meichao Men, Xiaoping Yi, T Bihong Chen
Objectives: Kallmann syndrome (KS) is a rare inherited disorder characterized by congenital hypogonadotropic hypogonadism and reduced or absent olfactory function. In addition to gonadal dysgenesis and structural abnormalities, KS patients may present with extensive psychosocial dysfunction and behavioral changes. This study aims to evaluate the effects of self-stigma, impulsivity, and insomnia on anxiety and depression in KS patients and to explore the interrelationships among these factors.
Methods: A total of 206 patients with confirmed KS were recruited from the Xiangya Hospital and Henan Provincial People's Hospital. Multivariable Logistic regression analysis was used to identify independent factors associated with anxiety and depression, and a serial multiple-mediator model was applied to characterize pathway effects.
Results: The cohort of KS patients demonstrated substantial psychological and social burden, including self-stigma, impulsivity, insomnia, loneliness, anxiety, depression, and overall social isolation tendencies. Logistic regression analysis indicated that self-stigma (OR=1.112, P=0.003), loneliness (OR=1.198, P=0.007), and insomnia (OR=1.098, P=0.017) were independent factors the presence of anxiety and depression in KS patients. Mediation-effect modeling further showed that impulsivity and insomnia significantly mediated the effect of self-stigma on anxiety and depression in KS (indirect effect 3=0.013, P=0.008; 95% CI 0.004 to 0.024; c'=0.147, P<0.001; 95% CI 0.091 to 0.201).
Conclusions: This study preliminarily identified the major modifiable factors associated with anxiety and depression in KS patients, including self-stigma, loneliness, and insomnia. Impulsivity and insomnia demonstrated significant serial mediation effects linking self-stigma to affective outcomes. Multidimensional intervention strategies targeting stigma reduction, impulsivity regulation, and sleep-quality improvement may help alleviate anxiety-depression symptoms and ultimately improve overall quality of life in patients with KS.
{"title":"Association of self-stigma, impulsivity, and insomnia with anxiety and depression in patients with Kallmann syndrome.","authors":"Xiong Tang, Feifei Wu, Yafang He, Han Wu, Jinfan Zhang, Haimiao Huang, Meichao Men, Xiaoping Yi, T Bihong Chen","doi":"10.11817/j.issn.1672-7347.2025.250433","DOIUrl":"10.11817/j.issn.1672-7347.2025.250433","url":null,"abstract":"<p><strong>Objectives: </strong>Kallmann syndrome (KS) is a rare inherited disorder characterized by congenital hypogonadotropic hypogonadism and reduced or absent olfactory function. In addition to gonadal dysgenesis and structural abnormalities, KS patients may present with extensive psychosocial dysfunction and behavioral changes. This study aims to evaluate the effects of self-stigma, impulsivity, and insomnia on anxiety and depression in KS patients and to explore the interrelationships among these factors.</p><p><strong>Methods: </strong>A total of 206 patients with confirmed KS were recruited from the Xiangya Hospital and Henan Provincial People's Hospital. Multivariable Logistic regression analysis was used to identify independent factors associated with anxiety and depression, and a serial multiple-mediator model was applied to characterize pathway effects.</p><p><strong>Results: </strong>The cohort of KS patients demonstrated substantial psychological and social burden, including self-stigma, impulsivity, insomnia, loneliness, anxiety, depression, and overall social isolation tendencies. Logistic regression analysis indicated that self-stigma (<i>OR</i>=1.112, <i>P</i>=0.003), loneliness (<i>OR</i>=1.198, <i>P</i>=0.007), and insomnia (<i>OR</i>=1.098, <i>P</i>=0.017) were independent factors the presence of anxiety and depression in KS patients. Mediation-effect modeling further showed that impulsivity and insomnia significantly mediated the effect of self-stigma on anxiety and depression in KS (indirect effect 3=0.013, <i>P</i>=0.008; 95% <i>CI</i> 0.004 to 0.024; c'=0.147, <i>P</i><0.001; 95% <i>CI</i> 0.091 to 0.201).</p><p><strong>Conclusions: </strong>This study preliminarily identified the major modifiable factors associated with anxiety and depression in KS patients, including self-stigma, loneliness, and insomnia. Impulsivity and insomnia demonstrated significant serial mediation effects linking self-stigma to affective outcomes. Multidimensional intervention strategies targeting stigma reduction, impulsivity regulation, and sleep-quality improvement may help alleviate anxiety-depression symptoms and ultimately improve overall quality of life in patients with KS.</p>","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"2095-2103"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949940/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144271","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}
Pub Date : 2025-11-28DOI: 10.11817/j.issn.1672-7347.2025.250286
Benliang Wei, Hong Liu
<p><strong>Objectives: </strong>The occurrence, metastasis, and drug resistance of melanoma pose major challenges to patient prognosis, and predictive models capable of accurately forecasting patient outcomes and guiding treatment are still lacking. This study aims to develop predictive models for melanoma prognosis and drug sensitivity based on mechanisms of programmed cell death (PCD).</p><p><strong>Methods: </strong>Genes related to 19 PCD patterns were collected and integrated from gene set enrichment analysis (GSEA), the Kyoto Encyclopedia of Genes and Genomes (KEGG), relevant reviews, and published studies to establish a comprehensive PCD signature gene set. Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) skin cutaneous melanoma (SKCM) cohort were obtained, and 3 untreated Gene Expression Omnibus (GEO) datasets (GSE65904, GSE19234, and GSE100797) were included as external validation cohorts. In addition, immunotherapy cohorts PRJEB23709, GSE136961, and GSE215222 were collected to validate the predictive value for immunotherapy. Single-cell transcriptomic data (GSE115978 and GSE215120) were processed using Seurat for quality control, normalization, dimensionality reduction, clustering, and cell annotation; spatial transcriptomic data were obtained from 10× Genomics and combined with Cottrazm for spatial partitioning and SpaCET deconvolution. Cell-cell communication was evaluated using CellChat to assess secreted signaling, extracellular matrix (ECM)-receptor interactions, and cell contact-mediated communication patterns. Based on the TCGA training set, a machine learning strategy comprising 10 algorithms and 101 combinations was used to construct PCD-related prognostic signatures, and the optimal model was selected using the average concordance index (C-index) across multiple cohorts. Differential analysis, GSEA, CIBERSORT, and Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) were further applied to evaluate immune infiltration, calculate T-cell receptor (TCR) clonal diversity, cytolytic activity, and T-cell effector gene expression profiles, and to explore the association between the PCD score (PCDS) and drug sensitivity.</p><p><strong>Results: </strong>The activities of the 19 PCD pathways differed significantly between normal skin and SKCM, suggesting that dysregulation is involved in melanoma progression. Mutation analysis showed that titin (<i>TTN</i>) and mucin 16 (<i>MUC16</i>) had the highest mutation frequencies. After controlling for collinearity and correlation screening, 314 candidate genes were obtained. Among the 101 model combinations, StepCox (backward)+Ridge performed best (average C-index across 4 cohorts=0.677). The PCDS constructed based on this model stably stratified prognosis: The high-PCDS group showed significantly worse survival in TCGA and 3 external validation cohorts and remained an independent prognostic indicator after adjustment for age, se
{"title":"[Machine learning-based programmed cell death signature model for precise prediction of prognosis and treatment response in melanoma].","authors":"Benliang Wei, Hong Liu","doi":"10.11817/j.issn.1672-7347.2025.250286","DOIUrl":"10.11817/j.issn.1672-7347.2025.250286","url":null,"abstract":"<p><strong>Objectives: </strong>The occurrence, metastasis, and drug resistance of melanoma pose major challenges to patient prognosis, and predictive models capable of accurately forecasting patient outcomes and guiding treatment are still lacking. This study aims to develop predictive models for melanoma prognosis and drug sensitivity based on mechanisms of programmed cell death (PCD).</p><p><strong>Methods: </strong>Genes related to 19 PCD patterns were collected and integrated from gene set enrichment analysis (GSEA), the Kyoto Encyclopedia of Genes and Genomes (KEGG), relevant reviews, and published studies to establish a comprehensive PCD signature gene set. Transcriptomic and clinical data from The Cancer Genome Atlas (TCGA) skin cutaneous melanoma (SKCM) cohort were obtained, and 3 untreated Gene Expression Omnibus (GEO) datasets (GSE65904, GSE19234, and GSE100797) were included as external validation cohorts. In addition, immunotherapy cohorts PRJEB23709, GSE136961, and GSE215222 were collected to validate the predictive value for immunotherapy. Single-cell transcriptomic data (GSE115978 and GSE215120) were processed using Seurat for quality control, normalization, dimensionality reduction, clustering, and cell annotation; spatial transcriptomic data were obtained from 10× Genomics and combined with Cottrazm for spatial partitioning and SpaCET deconvolution. Cell-cell communication was evaluated using CellChat to assess secreted signaling, extracellular matrix (ECM)-receptor interactions, and cell contact-mediated communication patterns. Based on the TCGA training set, a machine learning strategy comprising 10 algorithms and 101 combinations was used to construct PCD-related prognostic signatures, and the optimal model was selected using the average concordance index (C-index) across multiple cohorts. Differential analysis, GSEA, CIBERSORT, and Estimation of STromal and Immune cells in MAlignant Tumor tissues using Expression data (ESTIMATE) were further applied to evaluate immune infiltration, calculate T-cell receptor (TCR) clonal diversity, cytolytic activity, and T-cell effector gene expression profiles, and to explore the association between the PCD score (PCDS) and drug sensitivity.</p><p><strong>Results: </strong>The activities of the 19 PCD pathways differed significantly between normal skin and SKCM, suggesting that dysregulation is involved in melanoma progression. Mutation analysis showed that titin (<i>TTN</i>) and mucin 16 (<i>MUC16</i>) had the highest mutation frequencies. After controlling for collinearity and correlation screening, 314 candidate genes were obtained. Among the 101 model combinations, StepCox (backward)+Ridge performed best (average C-index across 4 cohorts=0.677). The PCDS constructed based on this model stably stratified prognosis: The high-PCDS group showed significantly worse survival in TCGA and 3 external validation cohorts and remained an independent prognostic indicator after adjustment for age, se","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"1961-1978"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949937/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144194","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}
Pub Date : 2025-11-28DOI: 10.11817/j.issn.1672-7347.2025.240653
Qiuling Zhao, Jian Zhang, Qiao Zhou, Zhaohui He, Hongping Li
Dieulafoy's disease is a rare condition that can cause acute, life-threatening massive gastrointestinal bleeding and is prone to misdiagnosis and missed diagnosis. From May 2023 to April 2024, 3 patients with Dieulafoy's disease within diverticula of the descending duodenum complicated by upper gastrointestinal bleeding were admitted to the Affiliated Hospital of Zunyi Medical University and Dafang County People's Hospital. Their clinical data and diagnostic and therapeutic processes are reported to enhance awareness of this disease. All patients presented with massive gastrointestinal bleeding, manifested as recurrent hematemesis and hematochezia with large-volume bleeding, and were diagnosed by emergency gastroscopy as having Dieulafoy's disease within diverticula of the descending duodenum. After medical therapy, the outcomes were unsatisfactory in all 3 cases. Endoscopic examination revealed active bleeding located in the descending duodenum; using a side-viewing duodenoscope, the lesions were observed to be within the diverticula of the descending duodenum. Hemostasis was successfully achieved in all cases by endoscopic hemoclip placement. Dieulafoy's disease within diverticula of the descending duodenum complicated by gastrointestinal bleeding is relatively rare in clinical practice. For gastrointestinal bleeding of unclear etiology, endoscopic examination should maintain a high index of suspicion for the descending duodenum, and duodenoscopy should be used when necessary. Particular attention should be paid to rare bleeding causes occurring within diverticula to avoid missed or incorrect diagnoses that could delay treatment.
{"title":"[Rare massive upper gastrointestinal bleeding: Three cases of Dieulafoy<b>'</b>s disease within diverticula of the descending duodenal and a literature review].","authors":"Qiuling Zhao, Jian Zhang, Qiao Zhou, Zhaohui He, Hongping Li","doi":"10.11817/j.issn.1672-7347.2025.240653","DOIUrl":"10.11817/j.issn.1672-7347.2025.240653","url":null,"abstract":"<p><p>Dieulafoy's disease is a rare condition that can cause acute, life-threatening massive gastrointestinal bleeding and is prone to misdiagnosis and missed diagnosis. From May 2023 to April 2024, 3 patients with Dieulafoy's disease within diverticula of the descending duodenum complicated by upper gastrointestinal bleeding were admitted to the Affiliated Hospital of Zunyi Medical University and Dafang County People's Hospital. Their clinical data and diagnostic and therapeutic processes are reported to enhance awareness of this disease. All patients presented with massive gastrointestinal bleeding, manifested as recurrent hematemesis and hematochezia with large-volume bleeding, and were diagnosed by emergency gastroscopy as having Dieulafoy's disease within diverticula of the descending duodenum. After medical therapy, the outcomes were unsatisfactory in all 3 cases. Endoscopic examination revealed active bleeding located in the descending duodenum; using a side-viewing duodenoscope, the lesions were observed to be within the diverticula of the descending duodenum. Hemostasis was successfully achieved in all cases by endoscopic hemoclip placement. Dieulafoy's disease within diverticula of the descending duodenum complicated by gastrointestinal bleeding is relatively rare in clinical practice. For gastrointestinal bleeding of unclear etiology, endoscopic examination should maintain a high index of suspicion for the descending duodenum, and duodenoscopy should be used when necessary. Particular attention should be paid to rare bleeding causes occurring within diverticula to avoid missed or incorrect diagnoses that could delay treatment.</p>","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"2133-2140"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949933/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144237","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}
Pub Date : 2025-11-28DOI: 10.11817/j.issn.1672-7347.2025.250450
Hongmin Yuan, Shuhui Gao, Zhibin Wei
Objectives: The prevalence and complexity of high-fall injuries pose major challenges to injury-mechanism interpretation, which currently relies largely on forensic autopsy. The finite element method (FEM) can elucidate biomechanical mechanisms of skeletal injury and quantify the relationship between fracture risk and fall height, providing evidence for forensic injury analysis and scene reconstruction.
Methods: Using adult upright feet-first landing as a representative scenario, a finite element approach based on the total human model for safety (THUMS) was applied to simulate bilateral feet-first impacts onto a rigid surface from heights of 1 to 50 m. Skeletal biomechanical responses were systematically evaluated using von Mises stress analysis, Logistic regression modeling, and hierarchical clustering.
Results: Stress concentration followed a longitudinal axial distribution along the body's vertical axis, with a dual-path load-transmission mechanism identified. Step-change biomechanical responses were observed at the foot, tibial ends, femoral neck, and spine, indicating abrupt increases in fracture risk at critical heights. Logistic regression successfully generated fracture-risk prediction models for fibular ends, pelvis, and skull. The fastest height-dependent fracture-risk escalation occurred at the fibular ends, followed by the skull, whereas the pelvis showed the slowest but still significant risk increase. Hierarchical clustering combined with biomechanical-mechanism interpretation stratified fall heights into 5 clusters and 3 injury phases: Local energy-dissipation phase (<7 meters), axial conduction stage (7 to 16 meters), and systemic composite injury phase (>16 meters).
Conclusions: FEM reveals the dual-path load-transmission mechanism of skeletal injury in upright feet-first landing. The established fracture-risk-height prediction models and injury-pattern-to-height mapping models provide biomechanical evidence for forensic inference of fall height.
{"title":"[Finite element analysis of skeletal injury mechanisms in adult standing positions with both feet landed on the ground].","authors":"Hongmin Yuan, Shuhui Gao, Zhibin Wei","doi":"10.11817/j.issn.1672-7347.2025.250450","DOIUrl":"10.11817/j.issn.1672-7347.2025.250450","url":null,"abstract":"<p><strong>Objectives: </strong>The prevalence and complexity of high-fall injuries pose major challenges to injury-mechanism interpretation, which currently relies largely on forensic autopsy. The finite element method (FEM) can elucidate biomechanical mechanisms of skeletal injury and quantify the relationship between fracture risk and fall height, providing evidence for forensic injury analysis and scene reconstruction.</p><p><strong>Methods: </strong>Using adult upright feet-first landing as a representative scenario, a finite element approach based on the total human model for safety (THUMS) was applied to simulate bilateral feet-first impacts onto a rigid surface from heights of 1 to 50 m. Skeletal biomechanical responses were systematically evaluated using von Mises stress analysis, Logistic regression modeling, and hierarchical clustering.</p><p><strong>Results: </strong>Stress concentration followed a longitudinal axial distribution along the body's vertical axis, with a dual-path load-transmission mechanism identified. Step-change biomechanical responses were observed at the foot, tibial ends, femoral neck, and spine, indicating abrupt increases in fracture risk at critical heights. Logistic regression successfully generated fracture-risk prediction models for fibular ends, pelvis, and skull. The fastest height-dependent fracture-risk escalation occurred at the fibular ends, followed by the skull, whereas the pelvis showed the slowest but still significant risk increase. Hierarchical clustering combined with biomechanical-mechanism interpretation stratified fall heights into 5 clusters and 3 injury phases: Local energy-dissipation phase (<7 meters), axial conduction stage (7 to 16 meters), and systemic composite injury phase (>16 meters).</p><p><strong>Conclusions: </strong>FEM reveals the dual-path load-transmission mechanism of skeletal injury in upright feet-first landing. The established fracture-risk-height prediction models and injury-pattern-to-height mapping models provide biomechanical evidence for forensic inference of fall height.</p>","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"2051-2061"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949930/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144230","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}
Pub Date : 2025-11-28DOI: 10.11817/j.issn.1672-7347.2025.250306
Ping Ni, Jinhong Wang, Liangui Shi, Linyong Xu
<p><strong>Objectives: </strong>China has achieved certain progress in expanding the coverage of primary healthcare institutions (PHCI), promoting equitable access to essential medical and health resources, and advancing universal health coverage. However, disparities in equitable access among different regions and income groups remain substantial. This study aims to analyze regional differences in the distribution of PHCI after the new healthcare reform and to explore the main factors influencing their distribution, so as to provide references for optimizing the allocation of primary healthcare resources.</p><p><strong>Methods: </strong>Data on the number of PHCI and factors influencing regional distribution differences from 2009 to 2022 were collected for 31 provincial-level administrative regions (hereinafter referred to as "administrative regions"). The Gini coefficient, Theil index, and the PHCI health resources density index (PHRDI) were used to evaluate the equity of PHCI distribution from 2009 to 2022 based on population, geographic area, and health level. PHRDI and each influencing factor were classified into 5 levels using the natural breaks method, and statistical maps of annual PHRDI distribution for each administrative region were drawn accordingly. Taking the number of PHCI in 2022 as the dependent variable, 15 indicators were selected as independent variables, and a geodetector was used to analyze the key factors influencing PHCI distribution.</p><p><strong>Results: </strong>In 2022, the number of PHCI in China was 979 768, representing an increase of 11.07% compared with 2009. The distribution of PHCI in 2022 by year-end permanent resident population (Gini coefficient 0.178, Theil index 0.051) was absolutely equitable; distribution by the number of women receiving systematic maternal management (Gini coefficient 0.227, Theil index 0.084)/the number of low-birth-weight infants (Gini coefficient 0.335, Theil index 0.179) was relatively even/comparatively appropriate; distribution by geographic area (Gini coefficient 0.628, Theil index 0.701) was highly inequitable, with inter-regional and intra-regional differences contributing 58.45% and 41.55%, respectively, to the overall inequity by geographic area. Over the years, PHRDI consistently showed a gradual decline from eastern to western regions. Compared with 2009, 10 administrative regions achieved an upgrade in PHRDI level by 2022, with the largest number in the eastern region (5 administrative regions). Year-end permanent resident population, number of PHCI health personnel, number of women receiving systematic maternal management, geographic area, local health expenditure, regional GDP, and total dependency ratio were the main factors influencing regional differences in PHCI distribution (all <i>P</i><0.05). The individual explanatory powers of these indicators were 75.6%, 69.3%, 68.0%, 47.3%, 44.9%, 44.0%, and 41.5%, respectively, and there were enhanced interaction effects amon
{"title":"[Regional distribution differences and influencing factors of primary healthcare institutions in China].","authors":"Ping Ni, Jinhong Wang, Liangui Shi, Linyong Xu","doi":"10.11817/j.issn.1672-7347.2025.250306","DOIUrl":"10.11817/j.issn.1672-7347.2025.250306","url":null,"abstract":"<p><strong>Objectives: </strong>China has achieved certain progress in expanding the coverage of primary healthcare institutions (PHCI), promoting equitable access to essential medical and health resources, and advancing universal health coverage. However, disparities in equitable access among different regions and income groups remain substantial. This study aims to analyze regional differences in the distribution of PHCI after the new healthcare reform and to explore the main factors influencing their distribution, so as to provide references for optimizing the allocation of primary healthcare resources.</p><p><strong>Methods: </strong>Data on the number of PHCI and factors influencing regional distribution differences from 2009 to 2022 were collected for 31 provincial-level administrative regions (hereinafter referred to as \"administrative regions\"). The Gini coefficient, Theil index, and the PHCI health resources density index (PHRDI) were used to evaluate the equity of PHCI distribution from 2009 to 2022 based on population, geographic area, and health level. PHRDI and each influencing factor were classified into 5 levels using the natural breaks method, and statistical maps of annual PHRDI distribution for each administrative region were drawn accordingly. Taking the number of PHCI in 2022 as the dependent variable, 15 indicators were selected as independent variables, and a geodetector was used to analyze the key factors influencing PHCI distribution.</p><p><strong>Results: </strong>In 2022, the number of PHCI in China was 979 768, representing an increase of 11.07% compared with 2009. The distribution of PHCI in 2022 by year-end permanent resident population (Gini coefficient 0.178, Theil index 0.051) was absolutely equitable; distribution by the number of women receiving systematic maternal management (Gini coefficient 0.227, Theil index 0.084)/the number of low-birth-weight infants (Gini coefficient 0.335, Theil index 0.179) was relatively even/comparatively appropriate; distribution by geographic area (Gini coefficient 0.628, Theil index 0.701) was highly inequitable, with inter-regional and intra-regional differences contributing 58.45% and 41.55%, respectively, to the overall inequity by geographic area. Over the years, PHRDI consistently showed a gradual decline from eastern to western regions. Compared with 2009, 10 administrative regions achieved an upgrade in PHRDI level by 2022, with the largest number in the eastern region (5 administrative regions). Year-end permanent resident population, number of PHCI health personnel, number of women receiving systematic maternal management, geographic area, local health expenditure, regional GDP, and total dependency ratio were the main factors influencing regional differences in PHCI distribution (all <i>P</i><0.05). The individual explanatory powers of these indicators were 75.6%, 69.3%, 68.0%, 47.3%, 44.9%, 44.0%, and 41.5%, respectively, and there were enhanced interaction effects amon","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"2082-2094"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949934/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144191","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}
Pub Date : 2025-11-28DOI: 10.11817/j.issn.1672-7347.2025.250250
Xiaoli Hu, Hui Guo, Guoyan Sun, Xuefeng Wang
<p><strong>Objectives: </strong>Under the guidance of analogical thinking in traditional Chinese medicine (TCM), the "treating of skin with skin" therapy, using processed animal and plant skin-derived medicinal materials to treat skin diseases, has a long history but lacks scientific evidence-based support. This study aims to apply data mining and network pharmacology techniques to explore the prescription patterns and mechanisms of action of the "treating skin with skin" therapy, and to interpret its rationality, effectiveness, and scientific basis using modern scientific methods.</p><p><strong>Methods: </strong>Relevant literature from Chinese and English databases over the past 20 years was retrieved and integrated according to inclusion and exclusion criteria. Data were integrated and mined using software such as Excel, OriginPro 2021, and SPSS Modeler 18.0. Frequency analysis, cluster analysis, and association rule analysis were performed sequentially to summarize high-frequency plant skin-derived Chinese medicinal materials and extract the core prescription. Core prescription drugs and skin disease-related gene targets were obtained from drug and disease target databases, including the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and GeneCards. Intersection targets were identified using Venny 2.1.0, and core targets were further extracted. Protein-protein interaction (PPI) network analysis, Gene Ontology (GO) functional enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were conducted for the intersection targets, and finally a "core drug-component-target-pathway" network was constructed and visualized.</p><p><strong>Results: </strong>Based on the inclusion and exclusion criteria, 563 eligible articles were ultimately included, from which 32 prescriptions were extracted, involving 21 plant skin-derived Chinese medicinal materials. Among them, 15 medicinal materials had a usage frequency exceeding 50%, with bitter, sweet, and cold properties predominating. Cluster analysis yielded 4 effective clusters. Cluster 1: <i>Phellodendron</i> cortex-<i>Dictamni</i> cortex; Cluster 2: <i>Eucommia</i> cortex-<i>Mori</i> cortex-<i>Meliae</i> cortex-<i>Pseudolaricis</i> cortex; Cluster 3: <i>Moutan</i> cortex-<i>Poriae Cutis</i>-Lycii cortex-<i>Fraxini</i> cortex-<i>Acanthopanacis</i> cortex-<i>Benincasae Pericarpium</i>; Cluster 4: <i>Ailanthi</i> cortex-<i>Periplocae</i> cortex-<i>Erycibes</i> cortex. Association rule analysis generated 92 association rules, with 4 strong links, 90 moderate links, and 10 weak links between herb pairs. Based on the association rules and linkage strength, the core prescription of the "treating skin with skin" therapy was summarized as "Phellodendri Cortex-Moutan Cortex-Dictamni Cortex-Benincasae Pericarpium-Poriae Cutis-Lycii Cortex." A total of 46 active ingredients were screened from this core prescription, involving 781 gene targets.
{"title":"[Patterns and mechanisms of the <b>\"</b>treating skin with skin<b>\"</b> therapy under traditional Chinese medicine analogical thinking based on data mining and network pharmacology].","authors":"Xiaoli Hu, Hui Guo, Guoyan Sun, Xuefeng Wang","doi":"10.11817/j.issn.1672-7347.2025.250250","DOIUrl":"10.11817/j.issn.1672-7347.2025.250250","url":null,"abstract":"<p><strong>Objectives: </strong>Under the guidance of analogical thinking in traditional Chinese medicine (TCM), the \"treating of skin with skin\" therapy, using processed animal and plant skin-derived medicinal materials to treat skin diseases, has a long history but lacks scientific evidence-based support. This study aims to apply data mining and network pharmacology techniques to explore the prescription patterns and mechanisms of action of the \"treating skin with skin\" therapy, and to interpret its rationality, effectiveness, and scientific basis using modern scientific methods.</p><p><strong>Methods: </strong>Relevant literature from Chinese and English databases over the past 20 years was retrieved and integrated according to inclusion and exclusion criteria. Data were integrated and mined using software such as Excel, OriginPro 2021, and SPSS Modeler 18.0. Frequency analysis, cluster analysis, and association rule analysis were performed sequentially to summarize high-frequency plant skin-derived Chinese medicinal materials and extract the core prescription. Core prescription drugs and skin disease-related gene targets were obtained from drug and disease target databases, including the Traditional Chinese Medicine Systems Pharmacology Database and Analysis Platform and GeneCards. Intersection targets were identified using Venny 2.1.0, and core targets were further extracted. Protein-protein interaction (PPI) network analysis, Gene Ontology (GO) functional enrichment analysis, and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analysis were conducted for the intersection targets, and finally a \"core drug-component-target-pathway\" network was constructed and visualized.</p><p><strong>Results: </strong>Based on the inclusion and exclusion criteria, 563 eligible articles were ultimately included, from which 32 prescriptions were extracted, involving 21 plant skin-derived Chinese medicinal materials. Among them, 15 medicinal materials had a usage frequency exceeding 50%, with bitter, sweet, and cold properties predominating. Cluster analysis yielded 4 effective clusters. Cluster 1: <i>Phellodendron</i> cortex-<i>Dictamni</i> cortex; Cluster 2: <i>Eucommia</i> cortex-<i>Mori</i> cortex-<i>Meliae</i> cortex-<i>Pseudolaricis</i> cortex; Cluster 3: <i>Moutan</i> cortex-<i>Poriae Cutis</i>-Lycii cortex-<i>Fraxini</i> cortex-<i>Acanthopanacis</i> cortex-<i>Benincasae Pericarpium</i>; Cluster 4: <i>Ailanthi</i> cortex-<i>Periplocae</i> cortex-<i>Erycibes</i> cortex. Association rule analysis generated 92 association rules, with 4 strong links, 90 moderate links, and 10 weak links between herb pairs. Based on the association rules and linkage strength, the core prescription of the \"treating skin with skin\" therapy was summarized as \"Phellodendri Cortex-Moutan Cortex-Dictamni Cortex-Benincasae Pericarpium-Poriae Cutis-Lycii Cortex.\" A total of 46 active ingredients were screened from this core prescription, involving 781 gene targets. ","PeriodicalId":39801,"journal":{"name":"中南大学学报(医学版)","volume":"50 11","pages":"2003-2016"},"PeriodicalIF":0.0,"publicationDate":"2025-11-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12949943/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146144205","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}
扫码关注我们
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号