Biomarkers最新文献

{"title":"Serum ferritin can serve as a biomarker for the prognosis and increased the prognostic predictive value of ISS/RISS in multiple myeloma patients.","authors":"Mengmeng Dong, Jinna Zhang, Li Yang, Yi Li, Jingsong He, Zhen Cai","doi":"10.1080/1354750X.2025.2485142","DOIUrl":"10.1080/1354750X.2025.2485142","url":null,"abstract":"<p><strong>Purpose: </strong>Multiple myeloma (MM) is a terminally differentiated plasma cell hematological malignancy. The revised international staging system (RISS) is commonly used in patients with de novo MM, but it has limitations in predicting prognosis. Better biomarkers need to added to the staging system.</p><p><strong>Results: </strong>This retrospective study included a total of 302 patients. Smooth curve fitting analysis showed that serum ferritin levels were associated with relapse and all-cause death. The K-M curve analysis indicated that MM patients with higher ferritin levels had shorter PFS (<i>p</i> < 0.0056) and OS (<i>p</i> = 0.0014). Multivariate Cox regression analysis also showed MM patients with high serum ferritin had poor PFS (<i>p</i> = 0.0012) and OS (<i>p</i> = 0.0258), with independent correlation. The prediction model of ROC analysis based on Cox regression validated ferritin had a predictive value for PFS and OS, and increased the predictive value of ISS and RISS for OS.</p><p><strong>Conclusion: </strong>We revealed that baseline serum ferritin levels were associated with prognosis in patients with MM, and patients with higher serum ferritin have poorer PFS and OS. Serum ferritin could increase the prediction value. The study provided a new evidence for searching for prognostic biomarkers in MM patients.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"246-255"},"PeriodicalIF":2.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143794663","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The ischaemia-modified albumin test: new tricks for an old dog?","authors":"Alan H B Wu","doi":"10.1080/1354750X.2025.2481407","DOIUrl":"10.1080/1354750X.2025.2481407","url":null,"abstract":"","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"217-218"},"PeriodicalIF":2.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143655813","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Correction.","authors":"","doi":"10.1080/1354750X.2025.2486878","DOIUrl":"10.1080/1354750X.2025.2486878","url":null,"abstract":"","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"284"},"PeriodicalIF":2.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143727989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The role of maternal serum ischemia-modified albumin in the prediction of hyperemesis gravidarum: a prospective cohort study.","authors":"Pınar Yıldız, Murat Levent Dereli","doi":"10.1080/1354750X.2025.2465972","DOIUrl":"10.1080/1354750X.2025.2465972","url":null,"abstract":"<p><strong>Background: </strong>Ischemia and associated hypoxemia-induced oxidative stress play an important role in hyperemesis gravidarum (HG) pathogenesis.</p><p><strong>Objective: </strong>The aim was to investigate the role of ischemia-modified albumin (IMA) in predicting HG.</p><p><strong>Methods: </strong>A prospective cohort study was conducted with 138 participants with singleton pregnancies who had experienced HG in previous pregnancies. Blood samples were taken at or before 5 weeks, provided they had no symptoms of nausea and vomiting at that time. The samples were stored under appropriate conditions to be analyzed for IMA. All participants were then followed to determine whether they would develop HG.</p><p><strong>Results: </strong>HG occurred in 42 participants (HG group), while the remaining 96 participants did not develop HG (control group). Baseline characteristics showed no significant differences. IMA levels were significantly higher in the HG group (p < 0.001). IMA levels did not correlate with body mass index or maternal age. IMA with a cut-off of >74.74 ng/mL (95% sensitivity, 67% specificity) had a discriminatory power with an AUC value of 0.791 (95% CI: 0.714-0.856; <i>p</i> < 0.001) for predicting HG.</p><p><strong>Conclusion: </strong>Our results show an association between high IMA levels in early pregnancy and an increased risk of HG. IMA can be used as a predictive tool for HG.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"226-231"},"PeriodicalIF":2.0,"publicationDate":"2025-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143390057","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Integrated bioinformatics approach for the identification and validation of novel biomarkers in ACC progression and prognosis.","authors":"Tonima Rahman Tuli, Mijan Mia, Ahsan Habib","doi":"10.1080/1354750X.2025.2489453","DOIUrl":"10.1080/1354750X.2025.2489453","url":null,"abstract":"<p><strong>Conclusion: </strong>In conclusion, the identified novel biomarkers and associated pathways, provides a comprehensive insight into the molecular mechanisms, prognosis, and potential clinical applications for the diagnosis and therapeutic interventions of ACC.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"1-15"},"PeriodicalIF":2.0,"publicationDate":"2025-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143778877","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"The association between systemic inflammation markers and the risk of incident dilated cardiomyopathy: a prospective study of 351,148 participants.","authors":"Xihang Fu, Xiaodie Li, Xinxin Gao, Qianlin Zuo, Lin Wang, Hua Peng, Jing Wu","doi":"10.1080/1354750X.2025.2461694","DOIUrl":"10.1080/1354750X.2025.2461694","url":null,"abstract":"<p><strong>Background: </strong>The role of systemic inflammation in the development and progression of cardiovascular diseases has been attractive, but its association with incident dilated cardiomyopathy (DCM) is rarely investigated. This study aimed to systematically investigate the association between various inflammatory markers and DCM incidence.</p><p><strong>Methods: </strong>The data were derived from the UK Biobank database. Systemic inflammation markers in this study encompassed peripheral immune cell counts and their ratios and the low-grade inflammation score (INFLA-score). The Cox proportional hazards regression, restricted cubic splines model, and segmented regression were adopted to assess the association between systemic inflammation markers and DCM incidence. Additionally, the subgroup Cox analysis stratified across sex was also performed.</p><p><strong>Results: </strong>A total of 351,148 participants were enrolled in this study, and 377 subjects developed DCM during a mean follow-up of 12.21 years. The positive association between C-reactive protein (CRP), neutrophil-to-lymphocyte ratio (NLR), and CRP-to-lymphocyte ratio (CLR) and DCM incident risk was found (CRP: HR = 1.190, <i>P</i> = 0.001; NLR: HR = 1.315, <i>P</i> = 0.033; CLR: HR = 1.206, <i>P</i> < 0.001), while the lymphocyte-to-monocyte ratio (LMR) was negatively associated with DCM incident risk (HR = 0.756; <i>P</i> = 0.033). Furthermore, the increased risk of DCM incidence was significantly and nonlinearly correlated with the reduction of platelet count (HR = 0.543; <i>P</i> = 0.002). In the subgroup analysis, sex-specific inflammation markers related to DCM development were noticed.</p><p><strong>Conclusions: </strong>The study has underlined that multiple inflammation markers were significantly associated with the risk of incident DCM, which would provide evidence for the aetiological study of DCM.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"192-199"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143070730","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Serum autoantibody-based biomarkers for prognosis in early-stage lung cancer patients with surgical resection.","authors":"Panpan Jiang, Kaili Wang, Yaqin Wei, Haonan Chen, Xueqin Cai, Yan Hua, Ming Li","doi":"10.1080/1354750X.2025.2456023","DOIUrl":"10.1080/1354750X.2025.2456023","url":null,"abstract":"<p><strong>Background: </strong>Lung cancer is the cancer with the highest morbidity and mortality in the world. With the increasing diagnosis rate of patients with early-stage lung cancer, surgery treatment becomes an option for more patients. However, there is a lack of effective indicators to assess the risk of recurrence after lung cancer surgery.</p><p><strong>Methods: </strong>We collected levels of serum autoantibodies and evaluated their roles as biomarkers especially for postoperative recurrence of lung cancer. In vitro experiments including antibody-dependent cellular cytotoxicity (ADCC), antibody-dependent cellular phagocytosis (ADCP) and complement-dependent cytotoxicity (CDC) were performed to explore the functions of serum autoantibodies.</p><p><strong>Results: </strong>Our study demonstrated that serum autoantibody-positive patients with early-stage lung cancer had a longer postoperative progression period. The levels of serum autoantibodies in patients with lung cancer were higher than that in patients with benign lung diseases. But all the serum autoantibodies had no difference between patients with stage I and II. In addition, the results of in vitro experiments indicated that serum autoantibodies can mediate immune responses and enhance anti-tumour effects.</p><p><strong>Conclusion: </strong>This study proposed effective biomarkers for prognosis in lung cancer patients after surgery which is critical to reduce the recurrence.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"131-139"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142999504","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Systemic fluoride levels in toenails as biomarkers of exposure and their association with the severity of dental fluorosis in Mexican schoolchildren - a cross-sectional study.","authors":"Jesús Lavalle-Carrasco, Nelly Molina-Frechero, Elizabeth Hernández-Pérez, Leonor Sánchez-Pérez, Sandra López-Verdín, Ronell Bologna-Molina","doi":"10.1080/1354750X.2025.2456657","DOIUrl":"10.1080/1354750X.2025.2456657","url":null,"abstract":"<p><strong>Introduction: </strong>Elevated fluoride (F^-) exposure during childhood produces dental fluorosis (DF). Nails have been used for monitoring systemic F^- in relation to DF. The aim of this study was to evaluate F^- levels in toenails in association with DF severity in Mexican schoolchildren.</p><p><strong>Materials and methods: </strong>120 schoolchildren from nonendemic areas (NEAs) and endemic F^- areas (EAs) were screened for DF via the Thylstrup and Fejerskov index (TFI). Toenails were collected to quantify systemic F^-. The associations between the biomarker, DF severity, tap water intake, sex, and age were analyzed.</p><p><strong>Results: </strong>The mean F^- in toenails in the NEAs and EAs were 0.63 ± 0.43 and 2.72 ± 1.38 mg/kg, respectively (p < 0.001). A positive correlation was observed between the biomarker and DF severity (r_s = 0.755, p < 0.001). Tap water consumption and the biomarker were associated with DF severity (p < 0.001). Within TFI7-8 the mean F^- level was higher in those ages 10-11 than in those ages 8-9 (p < 0.05).</p><p><strong>Conclusion: </strong>Systemic F^- levels in toenails are associated with DF severity in Mexican schoolchildren from both the NEAs and the EAs, which reflects the ability of the biomarker to accurately record the exposure to the compound in relation to clinical damage.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"140-146"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143439765","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Dynamine 3 as a diagnostic and prognostic biomarker in pancreatic cancer: Implications for early detection and targeted therapy.","authors":"Fatih Yay, Hasan Çağrı Yıldırım, Fatih Kuş, Şuayib Yalçın","doi":"10.1080/1354750X.2025.2458104","DOIUrl":"10.1080/1354750X.2025.2458104","url":null,"abstract":"&lt;p&gt;&lt;strong&gt;Background: &lt;/strong&gt;Dynamins are defined as a group of molecules with GTPase activity. Among them, DNM3 has gained recognition in oncology for its tumor suppressor role. Based on this, the aim of this study is to investigate the effects of the DNM3 gene in patients diagnosed with pancreatic cancer using bioinformatics databases.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Materials and methods: &lt;/strong&gt;For differential gene expression analysis, TCGA TARGET GTEx study on the UCSC Xena and GEO datasets were utilized; for the analysis of changes in gene expression according to clinical and pathological characteristics, UALCAN was employed; for Overall Survival (OS) analysis, Kaplan-Meier Plotter was used; for gene alteration analysis, cBioPortal was utilized; for immune cell infiltration analysis, Tumor Immune Estimation Resource (TIMER) and TIMER2.0 were employed; for enrichment analyses Enrichr was used; for Gene Set Correlation Enrichment Analysis Gscore was used on GSE15471; for essentiality of DNM3 gene in pancratic cancer cell lines DepMap was used; and for the detection of miRNAs, miRDB was utilized; ENCORI was used for gene-miRNA correlation and miRNA prognosis analyses.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Results: &lt;/strong&gt;In the pancreatic adenocarcinoma (PAAD) cohort, DNM3 gene expression was higher in tumor samples, and there was no significant difference in expression among cancer stages. High levels of DNM3 gene expression were associated with longer OS in PAAD. A weak positive correlation was observed between DNM3 gene expression and B-Cell and CD4+ T Cell infiltrations, while a moderate positive correlation was found with CD8+ T Cell, Macrophage, Neutrophil, and Dendritic Cell infiltrations in TIMER. NK cell by QUANTISEQ, CD 4+ T Cell by TIMER, T cell regulatory (Tregs) by CIBERSORT-ABS infiltrations were positively associated with DNM3 gene expression and decreased risk in prognosis. Common lymphoid progenitor by XCELL and MDSC by TIDE infiltrations were negatively associated with DNM3 gene expression and increased risk of prognosis. Macrophage M1 by QUANTISEQ was positively associated with DNM3 gene expression and increased risk in prognosis. DNM3 gene appears to be associated with various pathways related to inflammation and the immune system. Amplification of the DNM3 gene was detected in 5 out of 175 patients. Enrichment was observed in pathways such as bacterial invasion of epithelial cells, endocytosis, endocrine and other factor-regulated calcium reabsorption, synaptic vesicle cycle, and phospholipase D signaling pathway. According to Gscore, DNM3 gene was associated with Fc epsilon RI signaling pathway, HALLMARK MTORC1 SIGNALING, HALLMARK EPITHELIAL MESENCHYMAL TRANSITION gene sets. According to ENCORI, DNM3 gene was negatively correlated with hsa-miR-203a-3p and increased expression of this miRNA was associated with adverse prognosis in PAAD.&lt;/p&gt;&lt;p&gt;&lt;strong&gt;Conclusions: &lt;/strong&gt;The DNM3 gene may play a tumor suppressor role in pancreatic cancer, similar to its r","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"147-166"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143027789","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Differential gene expression analysis and machine learning identified structural, TFs, cytokine and glycoproteins, including SOX2, TOP2A, SPP1, COL1A1, and TIMP1 as potential drivers of lung cancer.","authors":"Syed Naseer Ahmad Shah, Rafat Parveen","doi":"10.1080/1354750X.2025.2461698","DOIUrl":"10.1080/1354750X.2025.2461698","url":null,"abstract":"<p><strong>Background: </strong>Lung cancer is a primary global health concern, responsible for a considerable portion of cancer-related fatalities worldwide. Understanding its molecular complexities is crucial for identifying potential targets for treatment. The goal is to slow disease progression and intervene early to prevent the development of advanced lung cancer cases. Hence, there's an urgent need for new biomarkers that can detect lung cancer in its early stages.</p><p><strong>Methods: </strong>The study conducted RNA-Seq analysis of lung cancer samples from the publicly available SRA database (NCBI SRP009408), including both control and tumour samples. The genes with differential expression between tumour and healthy tissues were identified using R and Bioconductor. Machine learning (ML) techniques, Random Forest, Lasso, XGBoost, Gradient Boosting and Elastic Net were employed to pinpoint significant genes followed by classifiers, Multilayer Perceptron (MLP), Support Vector Machines (SVM) and k-Nearest Neighbours (k-NN). Gene ontology and pathway analyses were performed on the significant differentially expressed genes (DEGs). The top genes from DEG and machine learning analyses were combined for protein-protein interaction (PPI) analysis, identifying 10 hub genes essential for lung cancer progression.</p><p><strong>Results: </strong>The integrated analysis of ML and DEGs revealed the significance of specific genes in lung cancer samples, identified the top 5 upregulated genes (COL11A1, TOP2A, SULF1, DIO2, MIR196A2) and the top 5 downregulated genes (PDK4, FOSB, FLYWCH1, CYB5D2, MIR328), along with their associated genes implicated in pathways or co-expression networks were identified. Among the various algorithms employed, Random Forest and XGBoost proved effective in identifying common genes, underscoring their potential significance in lung cancer pathogenesis. The MLP exhibited the highest accuracy in classifying samples using all genes. Additionally, the protein-protein interaction (PPI) analysis identified 10 hub genes that are pivotal in lung cancer pathogenesis: COL1A1, SOX2, SPP1, THBS2, POSTN, COL5A1, COL11A1, TIMP1, TOP2A and PKP1.</p><p><strong>Conclusion: </strong>The study contributes to the early prediction of lung cancer by identifying potential biomarkers that could enhance early diagnosis and pave the way for practical clinical applications in the future. Integrating DEGs and machine learning-derived significant genes for PPI analysis offers a robust approach to uncovering critical molecular targets for lung cancer treatment.</p>","PeriodicalId":8921,"journal":{"name":"Biomarkers","volume":" ","pages":"200-215"},"PeriodicalIF":2.0,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143070888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}