Biomarkers in medicine最新文献

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From molecules to meaning: non-coding RNAs as biomarkers in obstructive sleep apnea. 从分子到意义:非编码rna作为阻塞性睡眠呼吸暂停的生物标志物。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-09-01 Epub Date: 2025-09-22 DOI: 10.1080/17520363.2025.2562551
Manuel Sánchez-de-la-Torre, Clémentine Puech, David de Gonzalo-Calvo
{"title":"From molecules to meaning: non-coding RNAs as biomarkers in obstructive sleep apnea.","authors":"Manuel Sánchez-de-la-Torre, Clémentine Puech, David de Gonzalo-Calvo","doi":"10.1080/17520363.2025.2562551","DOIUrl":"10.1080/17520363.2025.2562551","url":null,"abstract":"","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"807-809"},"PeriodicalIF":2.1,"publicationDate":"2025-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12477864/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145111647","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Systemic immune-inflammation index as a biomarker for stroke prognosis: insights from a multi-time point analysis. 全身免疫炎症指数作为脑卒中预后的生物标志物:来自多时间点分析的见解。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-08-01 Epub Date: 2025-08-08 DOI: 10.1080/17520363.2025.2540760
Yanan Wang, Jiaojiao Wang, Fengmei Tian, Mengyun Peng, Xiaomin Ma, Dahong Zheng, Xiaoxiao Li, Jingya Jiao, Liping Zheng, Zhengbao Zhu, Shu Ji, Daoxia Guo
{"title":"Systemic immune-inflammation index as a biomarker for stroke prognosis: insights from a multi-time point analysis.","authors":"Yanan Wang, Jiaojiao Wang, Fengmei Tian, Mengyun Peng, Xiaomin Ma, Dahong Zheng, Xiaoxiao Li, Jingya Jiao, Liping Zheng, Zhengbao Zhu, Shu Ji, Daoxia Guo","doi":"10.1080/17520363.2025.2540760","DOIUrl":"10.1080/17520363.2025.2540760","url":null,"abstract":"<p><strong>Aims: </strong>This study aimed to investigate the association between the systemic immune-inflammation index (SII) and prognosis trajectories in ischemic stroke(IS).</p><p><strong>Methods: </strong>Patients from two tertiary hospitals in Suzhou were included in this study. SII was calculated as neutrophils×platelets/lymphocytes, and patients were categorized into quartiles based on SII values. Latent class growth modeling (LCGM) was employed to describe the trajectories of modified Rankin Scale (mRS) at different time points.Logistic regression models were used to evaluate the association between SII quartiles and prognosis trajectories at multiple time points (14 days, 1 month, 3 months, 6 months)and prognostic trajectories.</p><p><strong>Results: </strong>Patients in the highest quartile (Q4) of SII had a significantly higher risk of adverse outcomes compared to those in the lowest quartile (Q1). A three-group model was identified as the optimal trajectory model for stroke prognosis. SII was associated with 4.06-fold increased odds (95% CI: 1.64-10.08) of unfavorable prognosis trajectories. Per standard deviation increase in the logarithmic SII, the odds of unfavorable prognosis trajectories were 1.64 (95% CI: 1.18-2.29).</p><p><strong>Conclusions: </strong>Baseline SII is significantly associated with unfavorable outcome trajectories across multiple time points in IS. These findings highlight the potential value of SII as a predictive biomarker for sequential prognosis in stroke patients.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"697-705"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344814/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144798226","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Diagnostic value of lnc-RNAs TINCR, GC1 and AFAP1-AS1 in gastric cancer differentiation from healthy people. lnc- rna TINCR、GC1和AFAP1-AS1在健康人胃癌分化中的诊断价值。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-08-01 Epub Date: 2025-08-05 DOI: 10.1080/17520363.2025.2542112
Pouneh Pourfarzam, Mohammad Bagher Khademerfan, Ramin Shakeri, Reza Ghanbari, Asaad Azarnezhad
{"title":"Diagnostic value of lnc-RNAs TINCR, GC1 and AFAP1-AS1 in gastric cancer differentiation from healthy people.","authors":"Pouneh Pourfarzam, Mohammad Bagher Khademerfan, Ramin Shakeri, Reza Ghanbari, Asaad Azarnezhad","doi":"10.1080/17520363.2025.2542112","DOIUrl":"10.1080/17520363.2025.2542112","url":null,"abstract":"<p><strong>Aims and background: </strong>Gastric cancer is a significant health challenge globally, necessitating the identification of novel biomarkers for improved diagnosis. Our study aimed to address this gap by investigating the diagnostic potential a set of long non-coding RNAs (lncRNAs) in gastric cancer patients compared to healthy controls.</p><p><strong>Materials and methods: </strong>We conducted a retrospective case-control analysis involving 256 participants, including 128 gastric cancer patients and 128 healthy individuals. Alongside the measurement of serum levels of carcinoembryonic antigen (CEA) and carbohydrate antigen 19-9 (CA19.9), the plasma expression profiling of eight lnc-RNAs was performed in the selected samples.</p><p><strong>Results: </strong>Our findings revealed significant alterations in CEA and CA19.9 levels in gastric cancer patients compared to controls (<i>p</i> < 0.05). Moreover, upregulated expression of lncRNAs, including HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1, were all observed in gastric cancer patients (<i>p</i> < 0.05). Excluding lncUGC1 and FAM49B-AS, ROC curve analysis demonstrated the diagnostic potential of lncRNAs in gastric cancer detection, with notable specificity and sensitivity.</p><p><strong>Conclusion: </strong>Our study disclosed the diagnostic utility of plasma HOTIP, BANCR, ZFAS1, TINCR, GC1, and AFAP1-AS1 lncRNAs as appropriate diagnostic biomarkers for gastric cancer. The identification of dysregulated lncRNAs offers promising avenues for noninvasive diagnostic assessment in gastric cancer.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"757-767"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416196/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144783554","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Integrating cell-free DNA methylation of SEPT9 and SFRP2 into a machine learning model for early diagnosis of HCC. 将SEPT9和SFRP2的游离DNA甲基化整合到HCC早期诊断的机器学习模型中。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-08-01 Epub Date: 2025-08-04 DOI: 10.1080/17520363.2025.2541574
Dong Wang, Zhihao Dai, Minghua Bai, Dong Liu, Yanru Feng, Quanquan Sun, Tong Zhang, Liang Han, Rui Wang, Ji Zhu, Weifeng Hong, Weiwei Li
{"title":"Integrating cell-free DNA methylation of SEPT9 and SFRP2 into a machine learning model for early diagnosis of HCC.","authors":"Dong Wang, Zhihao Dai, Minghua Bai, Dong Liu, Yanru Feng, Quanquan Sun, Tong Zhang, Liang Han, Rui Wang, Ji Zhu, Weifeng Hong, Weiwei Li","doi":"10.1080/17520363.2025.2541574","DOIUrl":"10.1080/17520363.2025.2541574","url":null,"abstract":"<p><strong>Background: </strong>Hepatocellular carcinoma (HCC), a primary contributor to cancer-associated mortality, necessitates enhanced early detection. This study evaluated machine learning models that merge methylated SEPTIN9 (SEPT9) and secreted frizzled-related protein 2 (SFRP2) within circulating cell-free DNA (cfDNA) to detect HCC.</p><p><strong>Methods: </strong>A cohort of 165 healthy volunteers, 24 precancerous patients of HCC and 112 HCC patients were divided into training and validation sets. Methylated SEPT9 and SFRP2 (mSEPT9/mSFRP2) were detected using real-time PCR. Based on those methylation biomarkers and/or conventional biomarkers (CEA, AFP, CA125, and CA19-9), six machine learning algorithms, including Random Forest (RF), were employed to establish models for the training set. Models were evaluated for area under the ROC curve (AUC), sensitivity, and specificity, and subsequently validated in the validation set.</p><p><strong>Results: </strong>The RF model outperformed other models. In training, it achieved an AUC of 0.834 (95% CI: 0.745-0.923), exhibiting 69.3% sensitivity and 80.6% specificity for the methylation-specific signature group (mSS group: mSEPT9/mSFRP2). In validation, the RF model for the mSS group showed an AUC of 0.865 (95% CI: 0.811-0.946), with 85.4% sensitivity and 71.4% specificity.</p><p><strong>Conclusions: </strong>The RF-based model integrating mSEPT9/mSFRP2 in cfDNA can be a promising approach for HCC diagnosis.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"737-745"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416165/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144774642","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Association between red cell distribution width-to-albumin ratio and In-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease and respiratory failure: a retrospective cohort study. 慢性阻塞性肺疾病急性加重和呼吸衰竭患者的红细胞分布宽度与白蛋白比与住院死亡率的关系:一项回顾性队列研究
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-08-01 Epub Date: 2025-08-19 DOI: 10.1080/17520363.2025.2548189
Ruoqing Zhou, Dianzhu Pan
{"title":"Association between red cell distribution width-to-albumin ratio and In-hospital mortality in patients with acute exacerbation of chronic obstructive pulmonary disease and respiratory failure: a retrospective cohort study.","authors":"Ruoqing Zhou, Dianzhu Pan","doi":"10.1080/17520363.2025.2548189","DOIUrl":"10.1080/17520363.2025.2548189","url":null,"abstract":"<p><strong>Aims: </strong>This study aimed to investigate the association between the Red cell distribution width-to-albumin ratio (RAR) and in-hospital mortality in patients experiencing Acute Exacerbation of Chronic Obstructive Pulmonary Disease (AECOPD) with concurrent Respiratory Failure (RF).</p><p><strong>Methods: </strong>This retrospective study included 594 patients diagnosed with AECOPD and RF at the first affiliated hospital of Jinzhou Medical University, China, between January 2021 and September 2023. The primary outcome measure was in-hospital mortality rate. The participants were categorized into three groups according to RAR tertiles: T1 (2.535-3.871), <i>N</i> = 198; T2 (3.88-4.547), <i>N</i> = 196; and T3 (4.56-11.031), <i>N</i> = 200. Logistic regression and subgroup analyses were performed to investigate the relationship between RAR and AECOPD and RF prognosis in patients.</p><p><strong>Results: </strong>The average age of the participants was 72.1 ± 9.7 years, with 52.2% men (<i>n</i> = 310). The mean RAR was 4.3 ± 1.0%/g/dL. After adjusting for covariates, the odds ratio for in-hospital mortality per unit increase in RAR was 1.74 [95% Confidence Interval: 1.19-2.55], <i>p</i> = 0.004. A linear relationship was observed between RAR and in-hospital mortality among patients with AECOPD and RF.</p><p><strong>Conclusion: </strong>RAR is an independent risk factor for in-hospital mortality in patients with AECOPD complicated by RF. Elevated RAR levels were associated with increased in-hospital mortality in our patient cohort.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"717-724"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416183/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144882182","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Shock indices as predictors in blunt trauma patients in the emergency department. 休克指标在急诊科钝性创伤患者中的预测作用。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-08-01 DOI: 10.1080/17520363.2025.2542109
Ozan Utku Deveci, Ataman Köse, Çağrı Safa Buyurgan, Akif Yarkaç, Seyran Bozkurt, Cumhur Özcan, Didem Derici Yıldırım
{"title":"Shock indices as predictors in blunt trauma patients in the emergency department.","authors":"Ozan Utku Deveci, Ataman Köse, Çağrı Safa Buyurgan, Akif Yarkaç, Seyran Bozkurt, Cumhur Özcan, Didem Derici Yıldırım","doi":"10.1080/17520363.2025.2542109","DOIUrl":"10.1080/17520363.2025.2542109","url":null,"abstract":"<p><strong>Aims: </strong>To evaluate the effectiveness of Shock Index (SI), Modified Shock Index (MSI), and Age Shock Index (Age SI) in predicting blood transfusion need, surgical intervention, hospital outcomes, and injury severity in blunt trauma patients.</p><p><strong>Methods: </strong>This retrospective study included 267 adult patients admitted with blunt trauma to the emergency department of a tertiary university hospital between 1 December 2018, and 1 December 2019. Patients with isolated hand/foot trauma, isolated traumatic brain injury, isolated spinal injuries, or minor trauma (AIS ≤2) were excluded. SI, MSI, and Age SI were calculated and analyzed.</p><p><strong>Results: </strong>SI (<i>p</i> < 0.001), Age SI (<i>p</i> = 0.001), and MSI (<i>p</i> < 0.001) were significantly associated with blood transfusion and mortality. SI > 0.933 and MSI > 1.159 showed good predictive accuracy for blood transfusion; Age SI > 30.945 showed moderate accuracy. For mortality, SI > 1.015, MSI > 1.333, and Age SI > 67.065 demonstrated good predictive power (all <i>p</i> < 0.001). SI and MSI correlated moderately with injury severity (<i>p</i> < 0.001), with SI > 0.905 and MSI > 1.181 indicating significant predictive value.</p><p><strong>Conclusion: </strong>SI, MSI, and Age SI can predict early blood transfusion and mortality in blunt trauma patients. SI and MSI appear more reliable than Age SI, particularly in predicting transfusion need and injury severity.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"747-755"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416162/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144764585","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Serum asprosin, ox-LDL, and LOX-1 levels in patients with hypertension and their association with cardiovascular risk. 高血压患者血清asprosin、ox-LDL和LOX-1水平及其与心血管风险的关系
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-08-01 Epub Date: 2025-07-29 DOI: 10.1080/17520363.2025.2540770
Çağla Özdemir, Hatice Solak
{"title":"Serum asprosin, ox-LDL, and LOX-1 levels in patients with hypertension and their association with cardiovascular risk.","authors":"Çağla Özdemir, Hatice Solak","doi":"10.1080/17520363.2025.2540770","DOIUrl":"10.1080/17520363.2025.2540770","url":null,"abstract":"<p><strong>Aim: </strong>Our study aimed to investigate the relationship between oxidized low-density lipoprotein(ox-LDL), lectin-like ox-LDL receptor-1 (LOX-1), inducible nitric oxide synthase(iNOS), endothelin 1(ET-1), and asprosin levels with cardiovascular risk.</p><p><strong>Method: </strong>The study is a case-control study. 177 patients (87 HT/90 controls) were included in the study. Biochemical parameters and blood pressure were measured. Cardiovascular risk was calculated using the European Society of Cardiology Cardiovascular Diseases (ESC CVD) risk calculator. Asprosin, oxLDL, LOX1R, ET1 and iNOS levels were measured using Enzyme-Linked ImmunoSorbent Assay (ELISA) kits in blood samples obtained after a minimum 8-hour fasting period. In statistical analyses, <i>p</i> < 0.05 was considered significant.</p><p><strong>Results: </strong>Age was significantly higher in the patient group than in the control group(<i>p</i> < .001). Following adjustment for confounding variables, including age, sex, BMI and smoking status, ANCOVA analysis revealed that ET-1 [F(1,177) = 4.002, <i>p</i> = .047, ηp<sup>2</sup> = 0.133] and oxLDL [F(1,177) = 17.221, <i>p</i> < .001, ηp<sup>2</sup> = 0.262] levels were elevated in the control group relative to the HT group. The correlation analysis revealed a positive correlation between age and cardiovascular risk (<i>p</i> < .001). Furthermore, a negative correlation was identified between cardiovascular risk and ET1 (<i>p</i> < .05), iNOS (<i>p</i> < .001), asprosin (<i>p</i> < .05) and oxLDL ;(<i>p</i> < .001).</p><p><strong>Conclusion: </strong>ET1 and ox-LDL were lower in the HT group treated with antihypertensive therapy compared to the control group. Moreover, asprosin was found to be low in patients with high cardiovascular risk.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"637-645"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344817/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144741250","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Reference intervals for serum albumin, total protein, and prealbumin in healthy children in Nanning, China. 中国南宁健康儿童血清白蛋白、总蛋白和前白蛋白的参考区间。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-08-01 DOI: 10.1080/17520363.2025.2539066
Mengli Fan, Liling Yi, Siting Li, Chunling Zhu, Liuyi Lu, Qiliu Peng
{"title":"Reference intervals for serum albumin, total protein, and prealbumin in healthy children in Nanning, China.","authors":"Mengli Fan, Liling Yi, Siting Li, Chunling Zhu, Liuyi Lu, Qiliu Peng","doi":"10.1080/17520363.2025.2539066","DOIUrl":"10.1080/17520363.2025.2539066","url":null,"abstract":"<p><strong>Aim: </strong>The diagnosis, treatment, and prognosis of childhood diseases rely on accurately establishing reference intervals (RIs). The aim of this study was to determine the RIs of albumin (ALB), total protein (TP), and prealbumin (PA) in children in Nanning, China, according to age, gender, and ethnicity.</p><p><strong>Methods: </strong>A total of 4001 apparently healthy children aged 0 ~ 18 years from the Nanning area were included. The levels of serum ALB, TP, and PA were measured by an Architect C16000 automatic chemical analyzer. Non-parametric methods were used to determine the 2.5th and 97.5th percentile RIs.</p><p><strong>Results: </strong>Serum TP and PA levels increased with age (<i>p</i> < 0.001), whereas serum ALB level had no correlation with age (<i>p</i> > 0.05). Gender and ethnicity statistical differences were presented in serum ALB and PA except serum TP. Serum levels of ALB and PA in males were higher than those in females (<i>p</i> < 0.001). Serum ALB and PA showed lower concentrations in Zhuang children as compared to Han children (<i>p</i> < 0.05). All verification groups passed the verification of the RIs.</p><p><strong>Conclusions: </strong>Age-, gender- and ethnicity-appropriate RIs for serum ALB, TP, and PA will provide a more accurate evaluation of pediatric-related diseases.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"685-695"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12344803/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144759139","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Plasma-derived circALG8 and circCAMTA1 as a panel for early diagnosis of non-small cell lung cancer. 血浆源性circALG8和circCAMTA1作为非小细胞肺癌早期诊断的指标。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-08-01 Epub Date: 2025-08-03 DOI: 10.1080/17520363.2025.2542115
Yufei Sheng, Lulu Yang, Boyang Wang, Zhiqi Hong, Jin Guo, Chengwei Zhou, Tao Li, Wentao Hu, Zhaohui Gong
{"title":"Plasma-derived circALG8 and circCAMTA1 as a panel for early diagnosis of non-small cell lung cancer.","authors":"Yufei Sheng, Lulu Yang, Boyang Wang, Zhiqi Hong, Jin Guo, Chengwei Zhou, Tao Li, Wentao Hu, Zhaohui Gong","doi":"10.1080/17520363.2025.2542115","DOIUrl":"10.1080/17520363.2025.2542115","url":null,"abstract":"<p><strong>Background: </strong>Endogenous circular RNAs (circRNAs) have been implicated in the progression of cancer. This study aims to identify and evaluate the diagnostic efficacy of the newly found circALG8 and circCAMTA1 in patients with non-small cell lung cancer (NSCLC).</p><p><strong>Methods: </strong>Differentially expressed circRNAs were identified through plasma circRNA sequencing, followed by validation in NSCLC tissues and plasma samples using RT-qPCR. The stability of circALG8 and circCAMTA1 was determined by RNase R and actinomycin D assays. Receiver operating characteristic (ROC) curve analysis was employed to evaluate the diagnostic performance of these circRNAs in comparison to traditional tumor biomarkers.</p><p><strong>Results: </strong>Both circALG8 and circCAMTA1 are significantly downregulated in tumor tissues and plasma from NSCLC patients, correlating closely with TNM staging. The two circRNAs are structurally stable circular RNA molecules, demonstrating considerable stability in plasma of NSCLC patients. The combined plasma circALG8 and circCAMTA1 hold the potential to serve as a diagnostic panel for early-stage NSCLC (AUC: 0.8987, <i>p</i> < 0.0001). Importantly, the combination of the plasma circRNA panel enhances the diagnostic efficacy of traditional tumor biomarkers (AUC: 0.9236, <i>p</i> < 0.0001) in early diagnosis of NSCLC.</p><p><strong>Conclusion: </strong>Plasma-derived circALG8 and circCAMTA1 May function as a diagnostic panel, thereby improving the diagnostic accuracy for early-stage NSCLC.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"725-736"},"PeriodicalIF":2.1,"publicationDate":"2025-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12416200/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144774643","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Electro-impedimetric detection of human anti-mycolate antibody biomarkers of TB before, during, and after treatment. 治疗前、治疗中、治疗后人抗真菌酸抗体生物标志物的电阻抗检测。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2025-08-01 Epub Date: 2025-09-04 DOI: 10.1080/17520363.2025.2548196
Carl Baumeister, Jan Verschoor, Veronica Ueckermann, Mosa Molatseli, Thoriso Sesing, Nomthandazo Khuboni, Bernard Fourie
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