European Journal of Medical Research最新文献

{"title":"Identification of hub gene and immune infiltration in Lyme disease revealed by weighted gene co-expression network analysis and machine learning.","authors":"Yan Dong, Meng Liu, Yanshuang Luo, Yantong Chen, Xuesong Chen, Xiaorong Liu, Xingbo Cai, Fusong Yang, Chao Song, Guozhong Zhou","doi":"10.1186/s40001-025-03108-y","DOIUrl":"10.1186/s40001-025-03108-y","url":null,"abstract":"<p><strong>Introduction: </strong>Lyme disease (LD), caused by the spirochete Borrelia burgdorferi (Bb), is a multisystem disorder with early symptoms such as erythema migrans and late manifestations including arthritis and neuroborreliosis. The molecular mechanisms driving tissue damage and inflammatory dysregulation in LD remain incompletely characterized. Given the central role of peripheral blood mononuclear cells (PBMCs) in orchestrating immune responses, we aimed to identify optimal feature genes (OFGs) within PBMCs associated with LD pathogenesis and delineate their immune infiltration patterns using integrated bioinformatics.</p><p><strong>Methods: </strong>Transcriptomic datasets (GSE42606, GSE68765, GSE103481) were retrieved from GEO. Differential expression analysis identified LD-related genes. Weighted Gene Co-expression Network Analysis (WGCNA) screened disease-associated modules. Feature selection was performed via SVM-Recursive Feature Elimination (SVM-RFE), Least absolute shrinkage and selection operator (LASSO) regression, and random forest (RF) to pinpoint OFGs. Immune cell infiltration was quantified using CIBERSORT, followed by correlation analysis between OFGs and immune subsets. The Single-gene gene set enrichment analysis (GSEA) was performed to explore the functional associations of OFGs. Biological pathways linked to OFGs were inferred by single-sample GSEA (ssGSEA). Diagnostic utility was assessed via ROC curves and nomogram modeling. Finally, we used RT-qPCR to confirm the bioinformatics results.</p><p><strong>Results: </strong>Our study identified 174 DEGs among the LD patients, with 156 genes located within the \"turquoise\" module by WGCNA, exhibiting the most robust correlation with clinical characteristics. Among these, KIAA1199 turned out to be the unique OFG, selected via three distinct machine learning methodologies, possessing exceptional diagnostic potential. The Single-gene gene set enrichment analysis showed KIAA1199 was strongly correlated with multiple immune-related pathways. Furthermore, RT-qPCR validated candidate gene expression within a THP-1 cellular model.</p><p><strong>Conclusion: </strong>In conclusion, this study integrated WGCNA and machine learning methodologies to identify one core gene associated with LD from PBMC gene expression data: KIAA1199. The predictive model constructed using these genes demonstrated robust diagnostic accuracy, providing a basis for further research on host immune responses and the development of new diagnostic methods.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"860"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465215/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174355","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association between hypertensive disorders of pregnancy and disease progression in preterm infants with necrotizing enterocolitis: a retrospective cohort study.","authors":"Lirong Shen, Jiajuan Lin, Mingling Cui, Xuejie Zhang, Lili Li, Zongtai Feng, Yan Cai, Zuming Yang","doi":"10.1186/s40001-025-03159-1","DOIUrl":"10.1186/s40001-025-03159-1","url":null,"abstract":"<p><strong>Introduction: </strong>The aim of this study was to investigate the association between hypertensive disorders of pregnancy (HDP) and disease progression in preterm infants with necrotizing enterocolitis (NEC), providing a basis for risk-stratified monitoring.</p><p><strong>Methods: </strong>We conducted a retrospective cohort study of 237 preterm neonates diagnosed with Bell stage II NEC at a tertiary level teaching hospital in China between January 2015 and January 2025. Statistical analyses included univariate analysis, multivariate logistic regression, smooth curve fitting, and threshold effect analysis.</p><p><strong>Results: </strong>Among the 237 mothers included, 54 (22.78%) presented HDP. Disease progression (to Bell stage III or death) occurred in 71 NEC patients (29.96% of the cohort). Infants in the HDP group presented a significantly lower progression rate compared to the non-HDP group (16.67% vs. 33.88%; OR, 0.36 [95% CI 0.14-0.92]). Furthermore, systolic blood pressure (SBP) was negatively correlated with NEC progression when the mean SBP was less than 171.20 mmHg, with each 1 mmHg increase associated with a 2% reduction in progression risk (95% CI, 0.96-0.99).</p><p><strong>Conclusions: </strong>Maternal HDP and a SBP < 171.2 mmHg were associated with a decreased risk of NEC progression in preterm infants with Bell stage II NEC. These findings suggest that maternal blood pressure monitoring and hypertensive status may inform clinical decision-making in NEC management.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"862"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465620/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Association of eight anthropometric indexes related to obesity with the prevalence of clinical osteoarthritis among American adults: a national cross-sectional study.","authors":"Jingtao Huang, Xuan Zhang, Haoxian Tang, Shicheng Jia, Jiayou Chen, Rongji Liang, Qinglong Yang, Hanyuan Lin, Nan Luo, Yuxiang Ren, Jianjing Lin, Xintao Zhang","doi":"10.1186/s40001-025-03131-z","DOIUrl":"10.1186/s40001-025-03131-z","url":null,"abstract":"<p><strong>Objective: </strong>The aim of the current study is to investigate the association between clinical osteoarthritis (OA) and eight anthropometric indexes related to obesity, including non-hematological indexes (body mass index [BMI], body roundness index [BRI], weight-adjusted waist index [WWI], and waist-height ratio [WHtR]), and hematological indexes (triglyceride-glucose index [TyG], lipid accumulation product [LAP], visceral adiposity index [VAI], and waist triglyceride index [WTI]).</p><p><strong>Methods: </strong>Utilizing data from the National Health and Nutrition Examination Surveys (NHANES) spanning the years 2005-2018, a total of 19,867 adults (aged ≥ 20 years) were examined. Eight anthropometric indexes were calculated. Clinical OA was assessed through participants' self-reported responses by questionnaires. Multivariable logistic regression analysis and secondary analysis such as restricted cubic splines (RCS), receiver operating characteristic (ROC), decision curve analysis (DCA) and the area under the curve (AUC) analysis were employed to investigate the associations between anthropometric indexes and clinical OA.</p><p><strong>Results: </strong>The average age of the participants was 46.94 and 49.98% were female. Multivariable logistic regression analysis demonstrated significant associations between all indexes and clinical OA, especially BMI (per 1 standard deviation [SD], odd ration [OR] [95% Confidence interval [CI]] = 1.52[1.40, 1.66]), WTI (OR [95%CI] = 1.50[1.36, 1.65]) and WHtR (OR [95%CI] = 1.50[1.36, 1.64]). Latent profile analysis showed higher indexes could increase clinical OA risk. Additionally, AUC of WWI was the highest, at 0.6724, and DCA indicated that net profit of WWI was higher than other indexes when threshold was below 25%. The results of subgroup analysis proved the robustness of the findings in different sub-populations.</p><p><strong>Conclusion: </strong>Eight anthropometric indexes related to obesity were all significantly positively associated with clinical OA. Particularly, non-hematological indexes such as WWI and WHtR may show better efficacy in predicting and interventions for clinical OA outcomes, indicating their potential as the preferred strategy for early detection and management of clinical OA.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"871"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465158/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174262","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Detection of Treponema pallidum tpp47 DNA in clinical samples of syphilis patients.","authors":"Yongjun Meng, Ling Yang, Yu Fu, Si Li, Krishna Hamal, Donghua Liu","doi":"10.1186/s40001-025-03148-4","DOIUrl":"10.1186/s40001-025-03148-4","url":null,"abstract":"<p><strong>Backgrounds: </strong>To investigate the relationship between the presence of Treponema pallidum DNA in saliva, serum, and cerebrospinal fluid (CSF) in patients with different stages of syphilis.</p><p><strong>Patients and methods: </strong>From 2020 to 2024, clinical samples, including saliva, serum, and CSF, were collected from 740 patients diagnosed with syphilis at the First Affiliated Hospital of Guangxi Medical University. Primer sequences targeting the Treponema pallidum gene tpp47 were designed for nested PCR (nPCR).</p><p><strong>Results: </strong>A total of 1023 samples were collected from 740 patients with syphilis, including 20 primary syphilis, 96 secondary syphilis, 90 neurosyphilis, and 534 latent syphilis. The overall detection rates of Treponema pallidum DNA in saliva, serum, and CSF were 13.6% (36/264), 3.1% (17/543), and 5.5% (12/216), and in secondary syphilis 40.0% (26/65), 3.4% (2/59), and 7.1% (1/14), all of which were significantly different (P < 0.001). The detection rates in secondary syphilis were 40.0% (26/65), 3.4% (2/59), and 7.1% (1/14), which were significantly different (P < 0.001) from those observed in the other categories. Notably, no significant discrepancies were observed between the three clinical samples from patients with primary, neurosyphilis, and latent syphilis (P > 0.05).</p><p><strong>Conclusion: </strong>The Treponema pallidum DNA is most abundant in the saliva of syphilis patients, indicating a potential risk of saliva-mediated transmission of the disease.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"873"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465837/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive value of seven scoring systems for 28-day mortality in ICU patients with Sleep apnea-hypopnea syndrome (SAHS) and clinical indicators.","authors":"Yingzi Tian, Zifan Zhuang, Mingwan Su, Xiaoyan Yao, Xiyan Wang, Guangxi Li","doi":"10.1186/s40001-025-03120-2","DOIUrl":"10.1186/s40001-025-03120-2","url":null,"abstract":"<p><strong>Background and objective: </strong>Sleep apnea-hypopnea syndrome (SAHS) is a chronic condition linked to recurrent upper airway collapse during sleep and has been associated with lower in-hospital mortality in ICU patients. This study evaluates the predictive efficacy of seven ICU scoring systems (Sequential Organ Failure Assessment (SOFA), Acute Physiology Score III (APSIII), Systemic Inflammatory Response Syndrome (SIRS), Simplified Acute Physiology Score II (SAPSII), Oxford Acute Severity of Illness Score (OASIS), Glasgow Coma Scale (GCS), and Charlson Comorbidity Index (CCI)) for 28-day all-cause mortality in SAHS patients.</p><p><strong>Methods: </strong>Data from first-time ICU admissions were extracted from the MIMIC-IV database and analyzed using R, SPSS, and GraphPad Prism. Univariate and multivariate regression analyses identified independent risk factors for mortality. We evaluated the predictive accuracy of the scoring systems using calibration curves and the Hosmer-Lemeshow test. Decision curve analysis (DCA) and receiver operating characteristic (ROC) curves assessed the predictive performance of scoring systems.</p><p><strong>Results: </strong>The study showed that deceased patients had higher SOFA, APSIII, SIRS, SAPSII, OASIS, and CCI scores but lower GCS scores compared to survivors. SAPSII and APSIII demonstrated the highest net benefit and the area under the curve (AUC) values for predicting mortality, with APSIII showing the highest sensitivity and CCI the highest specificity. Kaplan-Meier analysis indicated lower mortality risk in low-risk subgroups of SAPSII and APSIII.</p><p><strong>Conclusion: </strong>SAPSII score in this study demonstrated not only robust calibration but also showed high clinical net benefit and discriminative ability. APSIII demonstrated the highest sensitivity in predicting mortality outcomes. The CCI's specificity underscores the importance of addressing comorbidities.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"856"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465386/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Nomogram for predicting the occurrence of progressive ischemic stroke: a single-center retrospective study.","authors":"Yu Liu, Xiaoyu Xu, Yanlong Zhou, Bo Du, Yanbo Cheng, Yu Feng","doi":"10.1186/s40001-025-03171-5","DOIUrl":"10.1186/s40001-025-03171-5","url":null,"abstract":"<p><strong>Objectives: </strong>Progressive ischemic stroke (PIS) is a severe adverse cerebrovascular event that can occur shortly after an acute ischemic stroke (AIS).The clinical factors that predict PIS remain poorly understood. This study aims to develop a nomogram for predicting PIS following AIS.</p><p><strong>Methods: </strong>This study retrospectively analyzed clinical data from patients diagnosed with AIS at the Affiliated Hospital of Xuzhou Medical University between 2018 and 2021 who subsequently developed PIS. Risk factors associated with PIS were identified using univariate logistic regression, followed by stepwise multivariate logistic regression to construct a predictive model. The resulting model was then transformed into a nomogram, providing neurologists with a clinically practical tool for rapidly assessing the risk of PIS following AIS.</p><p><strong>Results: </strong>Among 580 patients with AIS, 14.31% developed progressive stroke within 14 days. The data set was split into a training set (70%) and a test set (30%). Univariate analysis identified ten indicators associated with progressive stroke, and multivariate logistic regression in the training set revealed four independent risk factors. A nomogram was developed using R software (version 4.3.2) to predict progressive stroke risk. The Model demonstrated strong performance, with ROC curve AUCs of 0.849 (training set) and 0.829 (test set). The DeLong test showed no significant difference between the data sets (P > 0.05), confirming robustness. The overall AUC was 0.974, and the Hosmer-Lemeshow test indicated good calibration (P = 0.887). The calibration plot's mean absolute error was 0.012, and decision curve analysis confirmed the nomogram's clinical utility. Internal validation showed close agreement between the training and test sets.</p><p><strong>Conclusions: </strong>The nomogram model appears to enhance the prediction of progressive stroke risk in patients with AIS, potentially supporting neurologists in making more informed and timely clinical decisions.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"880"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465473/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174336","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"RHBDD1 induces cell cycle arrest in TP53-mutant NSCLC cells by promoting endoplasmic reticulum-associated degradation of p53 and DNA-PKcs.","authors":"Yun Chen, Yang Wang, Shuai Shen, Libin Zhang, Jun Liu, Xiangyun Yan, Hao Peng, Zheyuan Xu","doi":"10.1186/s40001-025-03116-y","DOIUrl":"10.1186/s40001-025-03116-y","url":null,"abstract":"<p><strong>Background: </strong>RHBDD1 is a tumor-promoting protein that enhances endoplasmic reticulum-associated degradation (ERAD). This study aimed to explore its effects on non-small cell lung cancer (NSCLC) cells.</p><p><strong>Methods: </strong>The potential roles of RHBDD1 in NSCLC were predicted through bioinformatics analysis. The predicted regulation of p53/DNA-PKcs signaling by RHBDD1-associated ERAD was further validated in TP53 wild-type and mutant NSCLC cells.</p><p><strong>Results: </strong>Bioinformatics analysis revealed that in the RHBDD1-highly expressed NSCLC samples, cell cycle was significantly downregulated, protein processing in endoplasmic reticulum (ER) was significantly upregulated, and p53 signaling pathway was inhibited. TP53 and PRKDC were identified as hub genes. Inhibition of cell cycle and activation of protein processing in ER were specifically enriched in TP53-mutant, RHBDD1-highly expressing samples, but not in TP53 wild-type ones. The protein levels of p53 and DNA-PKcs (encoded by the PRKDC gene) were more significantly altered by the DNA-PKcs inhibitor STL127705 and sh-RHBDD1 in NCI-H596 cells compared to A549 cells. In NCI-H596 cells transfected with pcDNA-RHBDD1, the reduced levels of DNA-PKcs and p53 were restored by co-treatment with p53 activators HBX41108 or Nutlin-3a. Cell cycle progression in NCI-H596 cells was significantly arrested at the S phase in both sh-RHBDD1 and pcDNA-RHBDD1 transfected groups. Both interventions led to decreased cell viability, which was reversed by co-treatment with the DNA-PKcs inhibitor STL127705 and further enhanced by Nutlin-3a. Increased levels of DNA-PKcs and p53, along with a modest reduction in ER stress markers, were observed in the sh-RHBDD1 group, whereas opposite trends were seen in the pcDNA-RHBDD1 group. Apoptosis was obviously inhibited in pcDNA-RHBDD1 transfected NCI-H596 cells, but not in transfected A549 cells. Co-localization of p53 with RHBDD1 and DNA-PKcs was prominently observed in TP53-mutant NSCLC cells, but not in wild-type cells.</p><p><strong>Conclusion: </strong>RHBDD1 arrests the cell cycle in TP53-mutant NSCLC cells through ERAD-dependent downregulation of p53 and DNA-PKcs. However, cell survival may be enhanced due to the inhibition of DNA-PKcs-regulated apoptosis.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"859"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465477/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174299","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Early laparoscopic cholecystectomy after percutaneous transhepatic gallbladder drainage in acute cholecystitis is appropriate and safe: an inverse probability of treatment weighting analysis.","authors":"I-Ming Kuo, Erh-Hao Liu, Sheng-Yu Chan, Jen-Fu Huang, Chih-Po Hsu, Chun-Hsiang Ou Yang, Shih-Ching Kang, Yu-Pao Hsu, Chi-Hsun Hsieh, Yi-Wen Hong","doi":"10.1186/s40001-025-03134-w","DOIUrl":"10.1186/s40001-025-03134-w","url":null,"abstract":"<p><strong>Background: </strong>Acute cholecystitis (AC) is a common emergency requiring timely surgical intervention. While laparoscopic cholecystectomy (LC) is the standard treatment, the optimal timing for LC following percutaneous transhepatic gallbladder drainage (PTGBD) remains debated. This study evaluates and compares the safety and efficacy of early LC after PTGBD, immediate LC without PTGBD, and delayed LC following PTGBD.</p><p><strong>Methods: </strong>A retrospective cohort study was conducted at a Level I referral center, analyzing 1436 patients diagnosed with AC and managed surgically between 2010 and 2018. Patients were categorized into three groups: early LC after PTGBD (Early group, n = 18), immediate LC without PTGBD (Immediate group, n = 1243), and delayed LC following PTGBD (Delayed group, n = 175). Patient demographics, clinical characteristics, and surgical outcomes were analyzed using inverse probability of treatment weighting (IPTW) to adjust for baseline differences.</p><p><strong>Results: </strong>Compared to the Immediate group, the Early group had a higher proportion of older patients and multiple comorbidities. After adjustment, adverse event rates were similar between both groups, but major complications were lower in the Early group. Compared to the Delayed group, the Early group demonstrated significantly shorter hospital stays and lower major complication rates.</p><p><strong>Conclusions: </strong>Early LC after PTGBD during the same admission is a viable alternative to delayed LC, reducing hospital stay and complications. Immediate LC remains the preferred approach for eligible patients without prior PTGBD. Further prospective studies are needed to refine the optimal timing of LC following PTGBD.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"866"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465607/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174328","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Research on the inhibitory effect of hydrogen gas on ovarian cancer and potential mechanisms.","authors":"Mengyue Yin, Min Liu, Chunling Zhang, Lingling Peng, Zhaolun Guo, Yafei Hao, Yongmei Wang, Xueyan Zhang, Qinghan Shi, Xiuzhen Ren, Hua Li, Lan Zhang","doi":"10.1186/s40001-025-03111-3","DOIUrl":"10.1186/s40001-025-03111-3","url":null,"abstract":"<p><p>Ovarian cancer is one of the most fatal malignancies in women worldwide; current treatment approaches still struggle to effectively control tumor progression. Therefore, it is imperative to explore novel and more effective therapeutic approaches. Hydrogen shows promise as a novel adjuvant therapy, offering new perspectives for ovarian cancer treatment. This study primarily investigates the effects of hydrogen on SKOV3 ovarian cancer cell line viability, apoptosis, migration, invasion, MDA, SOD levels, and key regulatory proteins through experiments including CCK-8, flow cytometry, scratch assay, Transwell assay, immunofluorescence, Western blot, and ELISA. HE staining, TUNEL, immunohistochemistry, immunofluorescence, Western blot, and ELISA were used to verify the antitumor effects of hydrogen in vivo. The results showed that hydrogen inhibited cell viability, migration, and invasion, promoted apoptosis, and induced G1/G2 phase arrest in SKOV3 cells. Additionally, hydrogen promoted ROS production, downregulated the expression of HIF-1α, NF-κB p65, and P-p65 proteins, decreased SOD levels, and increased MDA levels. The results of animal experiments showed that the tumor weight and volume in the hydrogen group were significantly smaller than those in the control group. At the same time, hydrogen promoted tumor cell apoptosis, reduced the levels of angiogenesis markers within the tumor, lowered the protein levels of HIF-1α and p65, increased MDA levels, and decreased SOD levels. Hydrogen provides a new approach for the treatment of ovarian cancer.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"874"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465961/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174342","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Predictive value of the systemic immune-inflammation index in 28-day survival after surgery for intracerebral hemorrhage.","authors":"Siwen Luo, Haifeng Li, Yulu Miao, Wei Sun, Sicheng Gao, Qinyang Zhang, Huifeng Yuan","doi":"10.1186/s40001-025-03067-4","DOIUrl":"10.1186/s40001-025-03067-4","url":null,"abstract":"<p><strong>Background: </strong>Intracerebral hemorrhage (ICH) is a severe cerebrovascular condition posing complex clinical challenges, including poor neurological outcomes and high morbidity. Surgery remains the primary treatment, but reliable prognostic markers are still lacking, thus emphasizing the need for an effective predictive tool.</p><p><strong>Methods: </strong>This retrospective study analyzed 587 patients with ICH admitted to the Neurosurgery Department and Intensive Care Unit (ICU) at the Third Affiliated Hospital of Anhui Medical University (2015-2019). The collected data included demographics, radiological findings, preoperative and intraoperative parameters, and follow-up outcomes. The Systemic Immune-Inflammation Index (SIRI) was calculated to assess its prognostic value.</p><p><strong>Results: </strong>Univariate analysis identified the Glasgow Coma Scale (GCS) score, systolic blood pressure, and blood volume as risk factors for postoperative complications. Logistic regression analysis revealed seven key predictors: surgery type, drug-resistant infection, paralysis, gastrointestinal bleeding, GCS score, activated partial thromboplastin time, and SIRI. A nomogram incorporating these factors was developed. Receiver-Operating Characteristic (ROC) analysis showed high predictive accuracy (training set: Area Under the Curve (AUC) = 0.936, sensitivity = 87.5%, specificity = 87.0%, cut off = 0.573; validation set: AUC = 0.915, sensitivity = 79.8%, specificity = 90.4%, cut off = 0.768). Bootstrap validation confirmed the nomogram's robustness. Calibration curves demonstrated high consistency between predicted and actual outcomes. The Hosmer-Lemeshow test showed good model fit (training set: χ² = 2.79, p = 0.95; validation set: χ² = 6.65, p = 0.58). Decision curve analysis supported broad clinical applicability (threshold probabilities: training set 1%-99%, validation set 5%-97%).</p><p><strong>Conclusions: </strong>The SIRI is an independent risk factor for 28-day mortality. It can serve as a reliable prognostic indicator for patients with ICH who have undergone surgical treatment.</p>","PeriodicalId":11949,"journal":{"name":"European Journal of Medical Research","volume":"30 1","pages":"858"},"PeriodicalIF":3.4,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12465941/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145174365","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}