Biomarkers最新文献

Background: Preterm prelabor rupture of the fetal membranes (PPROM) increases the risk of neonatal mortality and morbidity. The etiology behind the condition is multifactorial but believed to result from an overactivation of inflammatory pathways. This systematic review aimed to synthesize the literature behind first-trimester biomarkers associated with PPROM and compare it to literature within the same area for preterm birth.

Methods: A search strategy was performed in PubMed, Embase, and CINAHL from 1993 to 2024 resulting in 14,889 articles screened by two independent authors and presented according to PRISMA guidelines. The biomarkers from the included articles were categorized into four medical headings: The immune system, metabolism and endocrinology, hematology, and reproduction.

Results: Biomarkers associated with PPROM were primarily related to the immune system. C-reactive protein (CRP) and white blood cells (WBC) were often investigated for an association with PPROM but displayed divergent results of varying quality. Decreased concentrations of placental growth factor (PlGF) were associated with PPROM and spontaneous preterm birth, potentially highlighting a shared etiology, making soluble fms-like tyrosine kinase-1 (sFlt-1) interesting to investigate as well.

Conclusion: Most biomarkers were examined in single studies, providing limited data to make significant conclusions about each biomarker. This review encourages further investigation of CRP, WBC, PlGF, and sFlt-1.

Blood biomarkers can provide objective insight into a player's physiological state of recovery. Individualised approaches to biomarker monitoring may be of higher potential value in assessing player health and recovery compared to population-based reference ranges. We aimed to explore the application of individualised adaptive reference ranges (IARR) in English Premier League (EPL) soccer players using a POC biomarker for C-Reactive Protein (CRP) as a marker of inflammation. Using historical data collected from players' CRP values during the 2019-2020 season, we evaluated the effectiveness of static and IARR in identifying abnormal values and reported sensitivity and specificity at a 5% significance level. Our analysis confirmed that monitoring with IARR is more effective in identifying true abnormalities compared to population-based static reference ranges, particularly when the intra-individual variability is considerably lower than inter-individual variability. The application of IARR for blood monitoring data could assist the practitioner in identifying periods where a player may require performance (e.g. workload management and recovery practices) or medical support from the multi-disciplinary team. However, IARR serve more as an early warning system than a diagnostic tool. Thus, significant care is needed to prevent misuse and misinterpretation when implementing this strategy in real-world settings.

Purpose: 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.

Results: 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 (p < 0.0056) and OS (p = 0.0014). Multivariate Cox regression analysis also showed MM patients with high serum ferritin had poor PFS (p = 0.0012) and OS (p = 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.

Conclusion: 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.

Background and objective: Waterpipe smoking (WPS) has increased globally and may lead to various metabolic disorders. However, its long-term effects and cessation impact on metabolic biomarkers and omentin-1 remain unclear. This study aims to evaluate the impact of WPS and its cessation on metabolic biomarkers and omentin-1 levels and explore their correlations.

Materials and methods: 90 individuals were categorized into three groups (non-smokers, waterpipe smokers and cessation of waterpipe smokers). FBS and lipid profiles including TC, TG and HDL were measured using the Cobas 6000 c501 system, while FI was analyzed with the Cobas 6000 c601 system. Omentin-1 concentrations were determined using the enzyme-linked immunosorbent assay (ELISA) with a human omentin ELISA kit.

Results: FI, HOMA-IR and lipid profiles were significantly elevated in WPS and cessation groups. Omentin-1 and DBP levels significantly decreased in both groups compared to non-smokers. Increased WPS duration leads to reduced BMI, WC and DBP, while cessation duration decreases FBS and SBP. A negative association was identified among omentin-1 with FBS and O₂.

Conclusion: WPS and its cessation adversely affect metabolic health, reducing omentin-1 levels and increasing the risk of metabolic disorders. Over time, cessation improves specific biochemical markers, highlighting the need for public health awareness.

Background: Ischemia and associated hypoxemia-induced oxidative stress play an important role in hyperemesis gravidarum (HG) pathogenesis.

Objective: The aim was to investigate the role of ischemia-modified albumin (IMA) in predicting HG.

Methods: 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.

Results: 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; p < 0.001) for predicting HG.

Conclusion: 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.

Background: 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.

Methods: 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.

Results: 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, P = 0.001; NLR: HR = 1.315, P = 0.033; CLR: HR = 1.206, P < 0.001), while the lymphocyte-to-monocyte ratio (LMR) was negatively associated with DCM incident risk (HR = 0.756; P = 0.033). Furthermore, the increased risk of DCM incidence was significantly and nonlinearly correlated with the reduction of platelet count (HR = 0.543; P = 0.002). In the subgroup analysis, sex-specific inflammation markers related to DCM development were noticed.

Conclusions: 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.

Background: 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.

Methods: 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.

Results: 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.

Conclusion: This study proposed effective biomarkers for prognosis in lung cancer patients after surgery which is critical to reduce the recurrence.

Background: 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.

Materials and methods: 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.

Results: 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.

Conclusions: The DNM3 gene may play a tumor suppressor role in pancreatic cancer, similar to its r