Biomarkers in medicine最新文献

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Prognostic value of CCDC18-AS1 in gastric cancer and its regulatory effect on tumor progression. CCDC18-AS1在胃癌中的预后价值及其对肿瘤进展的调控作用。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-02-01 Epub Date: 2026-02-10 DOI: 10.1080/17520363.2026.2626438
Limei Li, Li Yang, XinRong Pei, Enge Dong, Fei Rong, Ruizhi Fan
{"title":"Prognostic value of CCDC18-AS1 in gastric cancer and its regulatory effect on tumor progression.","authors":"Limei Li, Li Yang, XinRong Pei, Enge Dong, Fei Rong, Ruizhi Fan","doi":"10.1080/17520363.2026.2626438","DOIUrl":"10.1080/17520363.2026.2626438","url":null,"abstract":"<p><strong>Background: </strong>Gastric cancer (GC) is a globally prevalent malignancy with high mortality. Long non-coding RNA CCDC18-AS1 is implicated in GC progression, yet its interaction with miR-214-3p and functional mechanisms remain unclear.</p><p><strong>Methods: </strong>Using samples from 128 GC patients, CCDC18-AS1 and miR-214-3p levels were quantified via quantitative real-time polymerase chain reaction. Kaplan-Meier and Cox regression analyzed prognosis. Dual-luciferase reporter assay and RNA immunoprecipitation assays validated their binding. Functional impacts of CCDC18-AS1 knockdown on proliferation, migration, and invasion were evaluated using Cell Counting Kit-8 and Transwell assays. Western blotting analyzed apoptosis and cell cycle-related protein changes.</p><p><strong>Results: </strong>CCDC18-AS1 was upregulated, while miR-214-3p was downregulated in GC. High CCDC18-AS1 correlated with poor survival and was an independent prognostic risk factor. CCDC18-AS1 was directly bound to miR-214-3p and inhibited miR-214-3p. Knockdown of CCDC18-AS1 increased miR-214-3p and suppressed proliferation, migration, and invasion. It also upregulated Bax and P21 while downregulating Bcl-2 and Cyclin B1, effects reversed by inhibiting miR-214-3p.</p><p><strong>Conclusion: </strong>CCDC18-AS1 is overexpressed in GC and independently predicts poor prognosis. It promotes GC progression by targeting miR-214-3p, thereby regulating key oncogenic processes.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"159-169"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947563/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146149098","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
Changes in serum SAA and PCT levels in patients with sepsis associated acute kidney injury and their relationship with renal function outcomes. 脓毒症相关急性肾损伤患者血清SAA和PCT水平的变化及其与肾功能预后的关系
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-02-01 Epub Date: 2026-02-09 DOI: 10.1080/17520363.2026.2625206
Haicong Huang, Haichuan Fang
{"title":"Changes in serum SAA and PCT levels in patients with sepsis associated acute kidney injury and their relationship with renal function outcomes.","authors":"Haicong Huang, Haichuan Fang","doi":"10.1080/17520363.2026.2625206","DOIUrl":"10.1080/17520363.2026.2625206","url":null,"abstract":"<p><strong>Aim: </strong>To investigate the dynamics of serum amyloid A (SAA) and procalcitonin (PCT) in sepsis-associated acute kidney injury (SAKI) and to evaluate their prognostic value for renal outcomes.</p><p><strong>Methods: </strong>159 Emergency Intensive Care Unit (EICU) patients with SAKI were enrolled. Serum SAA and PCT levels were measured on days 1, 3, 5, and 7 after enrollment. Patients were stratified by 28d renal recovery status. Associations with renal outcomes and predictive performance were examined using Pearson correlation, multivariable logistic regression and receiver operating characteristic (ROC) curve analysis.</p><p><strong>Results: </strong>Non-recovery was associated with higher baseline levels of SAA, PCT, lactate, serum creatinine, and APACHE II scores (all <i>p</i> < 0.05). Both biomarkers declined progressively, reaching their lowest levels by day 7. Baseline SAA and PCT showed strong negative correlations with 28d eGFR (<i>r</i> = -0.414, -0.491; <i>p</i> < 0.05). Multivariable logistic regression identified APACHE II score (OR = 1.260), SAA (OR = 1.025), and PCT (OR = 1.275) as independent predictors of non-recovery. ROC curve analysis demonstrated good discriminative ability, with AUCs of 0.813 for SAA, 0.819 for PCT, and 0.827 for APACHE II (all <i>p</i> < 0.05).</p><p><strong>Conclusion: </strong>SAA and PCT are robust short-term predictors of renal outcomes in sepsis-associated AKI. Their dynamic trajectories reflect disease severity and treatment response.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"171-178"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947569/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146141260","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
Preprocedural ALBI score predicts short- and long-term mortality after TAVI: a single-center cohort. 手术前ALBI评分预测TAVI术后短期和长期死亡率:单中心队列。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-02-01 Epub Date: 2026-02-11 DOI: 10.1080/17520363.2026.2628124
İsmail Balaban, Seda Tanyeri Uzel, Halit Eminoglu, Baver Bozan, Tezel Kovanci, Dogan Sen, Murat Karacam, Barkin Kultursay, Dogancan Ceneli, Ferhat Keten, Busra Guvendi Sengor, Ahmet Karaduman, Regayip Zehir, Rezzan Deniz Acar, Elnur Alizade
{"title":"Preprocedural ALBI score predicts short- and long-term mortality after TAVI: a single-center cohort.","authors":"İsmail Balaban, Seda Tanyeri Uzel, Halit Eminoglu, Baver Bozan, Tezel Kovanci, Dogan Sen, Murat Karacam, Barkin Kultursay, Dogancan Ceneli, Ferhat Keten, Busra Guvendi Sengor, Ahmet Karaduman, Regayip Zehir, Rezzan Deniz Acar, Elnur Alizade","doi":"10.1080/17520363.2026.2628124","DOIUrl":"10.1080/17520363.2026.2628124","url":null,"abstract":"<p><strong>Aims: </strong>To evaluate the prognostic significance of the preprocedural albumin - bilirubin (ALBI) score on short- and long-term outcomes after transcatheter aortic valve implantation (TAVI).</p><p><strong>Methods: </strong>We retrospectively analyzed 737 consecutive patients who underwent TAVI. Patients were stratified into tertiles according to ALBI score. Baseline clinical, echocardiographic, laboratory features were compared across tertiles. The primary endpoint was long-term all-cause mortality; secondary endpoints included in-hospital mortality and major complications. Kaplan-Meier analysis assessed survival, and Cox-regression models evaluated predictors of long-term mortality after adjustment for conventional risk factors.</p><p><strong>Results: </strong>Higher ALBI tertiles were associated with a greater comorbidity burden, worse ventricular function, and elevated biomarkers of inflammation and cardiac stress. In-hospital mortality increased across tertiles (5.3%, 7.3%, 11.8%). Long-term mortality also rose progressively (7.3%, 9.8%, 11.8%), with 60-month survival rates of approximately 90% (T1), 88% (T2), and 73% (T3). ALBI score independently predicted long-term mortality (HR 1.86, 95% CI 1.23-2.82), along with chronic kidney disease and lower TAPSE. Restricted cubic spline analysis demonstrated a near-linear association between ALBI and mortality risk.</p><p><strong>Conclusion: </strong>Preprocedural ALBI score is independently associated with both short and long-term mortality after TAVI and may reflect systemic vulnerability not captured by conventional risk models. Incorporating ALBI into preprocedural assessment could enhance risk stratification.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"179-189"},"PeriodicalIF":2.1,"publicationDate":"2026-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947554/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146163614","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
Integrative multi-platform gene expression and machine learning analysis for glioblastoma biomarker discovery with experimental validation. 综合多平台基因表达和机器学习分析胶质母细胞瘤生物标志物发现与实验验证。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-01-01 Epub Date: 2026-02-18 DOI: 10.1080/17520363.2026.2631632
Haseeb Nisar, Ali Islam, Amna Arshad, Fatima Tu Zahra, Saleh Alwahaishi, Romena Qazi, Irfan Yousaf, Qurat Ul Ain Tariq
{"title":"Integrative multi-platform gene expression and machine learning analysis for glioblastoma biomarker discovery with experimental validation.","authors":"Haseeb Nisar, Ali Islam, Amna Arshad, Fatima Tu Zahra, Saleh Alwahaishi, Romena Qazi, Irfan Yousaf, Qurat Ul Ain Tariq","doi":"10.1080/17520363.2026.2631632","DOIUrl":"10.1080/17520363.2026.2631632","url":null,"abstract":"<p><strong>Background: </strong>Glioblastoma (GBM) is a highly aggressive form of brain tumor with poor prognosis. This study aimed to identify genes critical to glioma development and assess their potential diagnostic and therapeutic value through an integrated analysis of microarray and RNA-Seq datasets.</p><p><strong>Methods: </strong>We used data integration to improve statistical robustness and reliability. LASSO regression, along with seven machine learning classifiers, was utilized to find the most important features. The classifier performance was validated on unseen datasets, where SVM and kNN showed the highest accuracy. Functional enrichment analysis was performed on the selected features to assess their biological relevance, followed by validation of biomarkers through qPCR.</p><p><strong>Results: </strong>We identified three key genes, PLOD1, COL4A2, and COL5A2, that emerged as consistently top-ranked across models. Survival analysis revealed PLOD1 is the only gene significantly associated with poor prognosis in GBM. Further validation in patient samples confirmed a strong association between high PLOD1 expression and GBM, highlighting its potential as a diagnostic biomarker and therapeutic target.</p><p><strong>Conclusion: </strong>This robust integrative machine learning approach for biomarker discovery in GBM supports the development of more personalized treatment strategies.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"95-108"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947586/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146218455","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 Castelli risk index and cardiovascular and cerebrovascular mortality in elderly type 2 diabetes mellitus patients. 老年2型糖尿病患者Castelli危险指数与心脑血管死亡率的关系
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-01-01 Epub Date: 2026-02-20 DOI: 10.1080/17520363.2026.2631636
Ruiang Wang, Yuan Liu, Xiaokun Yang, Yiming Wang, Liubao Gu, Huihui Wang
{"title":"Association between Castelli risk index and cardiovascular and cerebrovascular mortality in elderly type 2 diabetes mellitus patients.","authors":"Ruiang Wang, Yuan Liu, Xiaokun Yang, Yiming Wang, Liubao Gu, Huihui Wang","doi":"10.1080/17520363.2026.2631636","DOIUrl":"10.1080/17520363.2026.2631636","url":null,"abstract":"<p><strong>Background: </strong>The Castelli Risk Index (CRI) is an atherogenic index to assess cardiovascular disease risk. But the predictive value of CRI in assessing the risk of cardiovascular and cerebrovascular disease (CCVD)-related death in elderly patients with type 2 diabetes mellitus (T2DM) remains unclear.</p><p><strong>Methods: </strong>This retrospective cohort study analyzed clinical data from the SDTM Study, which began in 2005, including 888 patients aged ≥60 years with T2DM. Baseline lipid parameters and deaths related to CCVD during follow-up were recorded in hospital ward or outpatient clinic. The association between CRI and CCVD mortality was assessed by the Cox proportional hazards model. A competing-risk model was additionally employed to evaluate the association.</p><p><strong>Results: </strong>After a median follow-up of 7.62 years, 40 CCVD deaths occurred. The -CRI-I predicted CCVD deaths in elderly T2DM patients (HR: 1.35, 95% CI: 1.02 - 1.78, <i>p</i> = 0.038) after fully adjusting for age, gender, smoking, drinking, AST, ALT, creatinine, Fasting Blood Glucose, and use of statin. -Subgroup analysis showed that CCVD deaths were more strongly associated with CRI-I among females, those not taking statins, and those without coronary heart disease or hypertension.</p><p><strong>Conclusions: </strong>CRI -can independently predict CCVD mortality in elderly T2DM patients.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"109-117"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947553/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146225585","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
Next-generation biomarkers for short term risk stratification in tricuspid valve intervention. 新一代生物标志物在三尖瓣介入治疗中的短期风险分层。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-01-01 Epub Date: 2026-02-16 DOI: 10.1080/17520363.2026.2628970
Christoph Edlinger, Johannes Schlegl, Marwin Bannehr, Michael Lichtenauer, Tanja Kücken, Alexander Krutz, Vera Paar, Michael Neuß, Anja Haase-Fielitz, Christian Butter
{"title":"Next-generation biomarkers for short term risk stratification in tricuspid valve intervention.","authors":"Christoph Edlinger, Johannes Schlegl, Marwin Bannehr, Michael Lichtenauer, Tanja Kücken, Alexander Krutz, Vera Paar, Michael Neuß, Anja Haase-Fielitz, Christian Butter","doi":"10.1080/17520363.2026.2628970","DOIUrl":"10.1080/17520363.2026.2628970","url":null,"abstract":"<p><strong>Background: </strong>Interventional therapies for tricuspid regurgitation are rapidly evolving, yet optimal patient selection remains challenging. Conventional biomarkers such as NT-proBNP may inadequately reflect the complex pathophysiology and clinical risk in this population. Emerging biomarkers-including soluble suppression of tumorigenicity 2 (sST2), soluble urokinase-type plasminogen activator receptor (suPAR), heart-type fatty acid-binding protein (H-FABP), and growth differentiation factor-15 (GDF-15)-remain insufficiently studied in patients undergoing transcatheter tricuspid valve interventions.</p><p><strong>Methods: </strong>This prospective, single-center observational cohort study enrolled consecutive patients undergoing transcatheter treatment for severe tricuspid regurgitation, including transcatheter edge-to-edge repair and heterotopic caval valve implantation. Pre-procedural blood samples were collected and analyzed for GDF-15, suPAR, H-FABP, and sST2 using standardized assays. Prognostic performance for the composite endpoint of all-cause mortality or heart-failure rehospitalization within three months was assessed using receiver-operating-characteristic analysis and multivariable Cox regression.</p><p><strong>Results: </strong>Sixty patients (mean age 80.3 ± 7.3 years; 48.3% male) were included. At three months, 12 patients (20%) were rehospitalized and 6 (10%) had died. GDF-15 (AUC 0.867) and suPAR (AUC 0.885) demonstrated strong predictive accuracy and outperformed NT-proBNP. GDF-15 >1,400 pg/mL independently predicted adverse outcomes (HR 2.03, <i>p</i> = 0.046).</p><p><strong>Conclusion: </strong>GDF-15 and suPAR provide incremental prognostic value for short-term risk stratification after transcatheter tricuspid valve intervention.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"129-139"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947564/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146206573","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 and prognostic value of inflammatory markers for patients with severe pneumonia: a meta-analysis. 炎症标志物对重症肺炎患者的诊断和预后价值:一项荟萃分析
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-01-01 Epub Date: 2025-11-24 DOI: 10.1080/17520363.2025.2580286
Meng Han, Can Zhang, Songhe Zhao, Hongyun Zhang
{"title":"Diagnostic and prognostic value of inflammatory markers for patients with severe pneumonia: a meta-analysis.","authors":"Meng Han, Can Zhang, Songhe Zhao, Hongyun Zhang","doi":"10.1080/17520363.2025.2580286","DOIUrl":"10.1080/17520363.2025.2580286","url":null,"abstract":"<p><strong>Aims: </strong>This meta-analysis evaluates the diagnostic and prognostic performance of severe pneumonia through a comprehensive meta-analysis.</p><p><strong>Patients and methods: </strong>A systematic literature search was conducted across PubMed, Embase, Cochrane Library, Web of Science, and Scopus. Studies were included if they focused on severe pneumonia patients, assessed relevant inflammatory markers, and provided sufficient data for meta-analysis.</p><p><strong>Results: </strong>The diagnostic meta-analysis found a sensitivity of 0.72 (95% CI: 0.64-0.79) and a specificity of 0.75 (95% CI: 0.70-0.80). Area under the summary receiver operating characteristic curve was 0.80 (95% CI: 0.76-0.83). However, these pooled estimates showed high heterogeneity (I<sup>2</sup> > 80%), indicating substantial variation across studies and requiring cautious interpretation. Subgroup analyses revealed that procalcitonin (PCT) had the highest specificity. For predicting short-term mortality, a preliminary analysis of five studies (<i>n</i> = 463) showed a pooled sensitivity of 0.72 (95% CI: 0.64-0.79) and a specificity of 0.65 (95% CI: 0.59-0.70), suggesting a potential prognostic signal that needs validation in larger, prospective cohorts.</p><p><strong>Conclusions: </strong>Inflammatory markers are valuable auxiliary tools to support clinical judgment in assessing severity and predicting outcomes in patients with severe pneumonia. They offer moderate accuracy in distinguishing severe from non-severe cases and in predicting short-term mortality.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"57-68"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947560/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145586268","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
NF-κB p65 as a predictive biomarker of low-grade inflammation in ART-treated HIV-1 infection: comparison with HS-CRP. NF-κB p65作为抗逆转录病毒治疗的HIV-1感染低级别炎症的预测性生物标志物:与HS-CRP的比较
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-01-01 Epub Date: 2026-02-14 DOI: 10.1080/17520363.2026.2628972
Sivasubramaniyan Gnanaskandan, Urmila Karunakaran, Sathyamurthy P, Jotheeswaran T, Padma Srikanth
{"title":"NF-κB p65 as a predictive biomarker of low-grade inflammation in ART-treated HIV-1 infection: comparison with HS-CRP.","authors":"Sivasubramaniyan Gnanaskandan, Urmila Karunakaran, Sathyamurthy P, Jotheeswaran T, Padma Srikanth","doi":"10.1080/17520363.2026.2628972","DOIUrl":"10.1080/17520363.2026.2628972","url":null,"abstract":"<p><strong>Background: </strong>Low-grade inflammation remains a clinical concern in virally suppressed people living with HIV-1 (PWH). Identifying reliable biomarkers is essential for monitoring inflammation-related risk.</p><p><strong>Methods: </strong>This exploratory cross-sectional study evaluated NF-κB p65 as a biomarker in 60 virally suppressed HIV-1 infected individuals and 60 controls. NF-κB p65 and high-sensitive C-reactive protein (HS-CRP) levels were quantified. Statistical analyses were performed in R (v4.3.2) using multivariable logistic regression model, adjusting for age, gender, HS-CRP, and socio-economic status. Predictive performance was assessed using AUC, calibration, and decision curve analysis. Additional analysis includes principal component analysis (PCA), k-means clustering, and linear regression was performed.</p><p><strong>Results: </strong>NF-κB p65 levels were significantly elevated in PWH than controls (<i>p</i> < 0.001), while HS-CRP was not independently associated. NF-κB p65 remained the strongest predictor of low-grade inflammation (OR = 2.3, AUC = 0.816) than HS-CRP. The model demonstrated good calibration and clinical utility. PCA and k-means clustering revealed heterogenous inflammatory profiles, and NF-κB p65 showed a borderline inverse association with CD4+ T cell counts. Low SES was also linked to increased inflammation (<i>p</i> < 0.001).</p><p><strong>Conclusion: </strong>NF-κB p65 is a promising biomarker for monitoring subclinical inflammation in virally suppressed HIV-1 infection.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":" ","pages":"47-55"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947572/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"146194091","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
Biomarkers for effective prognosis of polycystic ovary syndrome: a full review. 多囊卵巢综合征有效预后的生物标志物:全面回顾。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-01-01 Epub Date: 2026-01-29 DOI: 10.1080/17520363.2026.2622044
Ishanka Singh, Anuja Pant, Pawan Kumar Maurya
{"title":"Biomarkers for effective prognosis of polycystic ovary syndrome: a full review.","authors":"Ishanka Singh, Anuja Pant, Pawan Kumar Maurya","doi":"10.1080/17520363.2026.2622044","DOIUrl":"10.1080/17520363.2026.2622044","url":null,"abstract":"<p><strong>Introduction: </strong>Polycystic ovary syndrome (PCOS) is a complicated endocrine condition marked by reproductive, metabolic and chronobiological perturbations. Despite a number of biomarkers that can be used in its diagnosis, they only show the existence of the syndrome and not much information about prognosis. This prognostic blindness complicates disease management and contributes to increased healthcare and economic burden.</p><p><strong>Areas covered: </strong>The review summarizes the literature on prognostic biomarkers in PCOS, including hormone biomarkers, metabolic biomarkers, circadian regulatory biomarkers, and non-coding RNAs. Clinical, observational, and preclinical findings indicate that these markers reflect early molecular and cellular perturbations, disease progression, and vulnerability to reproductive and metabolic issues.This review primarily focuses ondiagnostic and prognostic biomarkers associated with PCOS, highlighting their relevance in early detection, disease stratification, and risk assessment. Therapeutic biomarkers are discussed only where they offer mechanistic or clinical insight into disease progression.</p><p><strong>Expert opinion: </strong>The combination of endocrine, metabolic, circadian, and RNA-based biomarkers offers a dynamic approach to PCOS prognostication. These biomarkers can improve the early diagnosis of high-risk patients, individual interventions, and reproductive and metabolic management. Future research should focus on validating these markers in large cohorts and developing predictive models to support clinical decision-making beyond static diagnostic criteria.</p>","PeriodicalId":9182,"journal":{"name":"Biomarkers in medicine","volume":"20 1","pages":"69-86"},"PeriodicalIF":2.1,"publicationDate":"2026-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC12947562/pdf/","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147289261","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 inflammatory and coagulation markers in GBS infection and adverse pregnancy outcomes. GBS感染和不良妊娠结局的血清炎症和凝血标志物。
IF 2.1 4区 医学
Biomarkers in medicine Pub Date : 2026-01-01 Epub Date: 2025-08-22 DOI: 10.1080/17520363.2025.2538429
Lin Li, Xiaoying Wang, Dan Li, Zhenfang Liu
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