Biomarkers in medicine最新文献

Background: This study aimed to investigate the clinical value of the red blood cell distribution width (RDW) in severe Mycoplasma pneumoniae pneumonia (MPP). Methods: A total of 185 children with diagnosed severe MPP were included. The patients' case records and laboratory examination data were analyzed retrospectively. The children were grouped into quartiles based on RDW. Results: Univariate analysis revealed that RDW was significantly correlated with the Pediatric Risk of Mortality (PRISM) III score, Sepsis-Related Organ Failure Assessment score, incidence of invasive intubation and 30-day in-hospital mortality. After adjustment for the severity of illness, multivariate analysis revealed that the PRISM III score and RDW were factors independently associated with 30-day in-hospital mortality. Conclusion: This study revealed that RDW could be correlated with the long-term prognosis and severity of severe MPP.

Background: To explore the relationship between homocysteine (Hcy) and cardiac surgery-associated acute kidney injury (AKI). Methods: A total of 944 patients who underwent cardiac surgery were enrolled. The association between Hcy levels and the risk of cardiac surgery-associated AKI was evaluated. Results: A total of 135 patients were diagnosed with AKI and the prevalence of AKI was 14.30%. The AKI group had significantly higher levels of Hcy compared with the non-AKI group (16.90 vs 13.56 umol/l; p < 0.001). The incidence rates of AKI increased from 7.2% to 26.72% across increasing Hcy quartiles (p < 0.001). Compared with the first Hcy quartile group, the odds ratio of cardiac surgery-associated AKI was 4.43 (95% CI: 2.27-8.66) in the highest Hcy group. Conclusion: Elevated Hcy level is an independent risk factor for cardiac surgery-associated AKI.

Aim: To explore the predictive value of miR-486-5p in early cervical cancer and the associations of miR-486-5p with different clinical symptoms.Materials & methods: A total of 185 women were recruited. The relative expression levels of serum miR-486-5p were analyzed by real-time polymerase chain reaction. The receiver operator characteristic curves were utilized to reflect the predictive performance of miR-486-5p and squamous cell carcinoma antigen for early cervical cancer. Univariate logistic regression and ranked logistic regression were used to explore the associations of miR-486-5p with different clinical symptoms of early cervical cancer, with odd ratios (ORs) and 95% confidence intervals.Results: Eighty-one women (44.26%) had early cervical cancer. The relative expression of serum miR-486-5p was 1.99-fold higher in early cervical cancer patients than that in controls (p < 0.0001). The predictive performance of miR-486-5p for early cervical cancer was significantly superior to that of squamous cell carcinoma antigen, with an area under the curve of 0.865 (p < 0.001), sensitivity of 1.000 and specificity of 0.804. In addition, overexpressed miR-486-5p was associated with high odds of maximum tumor diameter increase (OR = 1.30, 95% CI: [1.01-1.66]).Conclusion: MiR-486-5p may be a potential biomarker for the early cervical cancer diagnosis, and was linked to the risk of maximum tumor diameter.

Dermatologic disorders, affecting the integumentary system, involve diverse molecular mechanisms such as cell proliferation, apoptosis, inflammation and immune responses. Long noncoding RNAs, particularly Metastasis-Associated Lung Adenocarcinoma Transcript 1 (MALAT1), are crucial regulators of gene expression. MALAT1 influences inflammatory responses, immune cell function and signaling pathways, impacting various physiological and pathological processes, including dermatologic disorders. Dysregulation of MALAT1 is observed in skin conditions like psoriasis, atopic dermatitis and systemic lupus erythematosus. However, its precise role remains unclear. This review consolidates knowledge on MALAT1's impact on skin biology and pathology, emphasizing its potential diagnostic and therapeutic implications in dermatologic conditions.

Aim: This retrospective clinical study was designed to examine the predictive value of thromboelastography (TEG) combined with coagulation function for venous thromboembolism (VTE) in hospitalized patients with cancer. Materials & methods: Among 215 patients admitted between May 2020 and January 2022, 39 (18.14%) were diagnosed with VTE during hospitalization. Results: Significant differences were found in D-dimer, ATIII and TEG parameters (maximum amplitude and coagulation index) between VTE-positive and VTE-negative patients (p < 0.05). Multivariate analysis revealed tumor node metastasis stage, concomitant infection, smoking history and D-dimer as independently associated with VTE. The constructed model and D-dimer areas under the curve were 0.809 and 0.764, respectively. Conclusion: TEG parameters were not significantly predictive indicators for VTE, with D-dimer remaining a key predictor.

Aim: There is a lack of data about the association between admission serum albumin levels and long-term mortality in heart failure (HF) patients with cardiac resynchronization therapy defibrillators (CRT-D). We aim to investigate this connection in HF patients with CRT-D. Methods: The study population consisted of 477 HF patients with CRT-D. The cohort was divided into three groups according to albumin values, and the relationship between these groups and long-term mortality were evaluated. Results: Long-term all-cause mortality (HR: 3.32, 95% CI: 2.12-6.84), appropriate (HR: 4.44, 95% CI: 2.44-8.06) and inappropriate (HR: 2.95, 95% CI: 1.88-6.02) shocks were higher in the low albumin group. Conclusion: Low albumin levels are associated with the long-term mortality and appropriate shock treatment in HF patients with CRT-D.

Aim: This study aimed long-term prognostic factors for percutaneous coronary intervention (PCI) in left main coronary artery (LMCA) disease, focusing on inflammatory parameters like Pan Immune-Inflammation Value (PIV) and Systemic Immune-Inflammation Index (SII).Materials & methods: This retrospective, observational study involved 121 patients receiving unprotected LMCA PCI.The study's primary end point was MACE, including all-cause death, repeat revascularization and myocardial reinfarction.Results: The PIV and SII scores emerged as independent predictors of MACE occurrence in patients undergoing PCI for unprotected LMCA disease (p:0.045,p:0.048;respectively).In addition, age, ejection fraction, creatinine, shock presentation and the residual syntax score were identified as significant independent predictors of MACE in both models.Conclusion: This study showed a significant, independent correlation between PIV, SII and MACE in patients undergoing PCI for LMCA disease, with PIV showing slightly better predictive capability than SII.

Aim: Myocarditis, an inflammatory disease of the myocardium, can range from asymptomatic cases to severe forms such as fulminant myocarditis. The systemic immune-inflammation index (SII) has emerged as a potential biomarker for various inflammatory diseases. This study aimed to determine the effect of SII on the prognosis of young adults with acute myocarditis and compare it with other cardiac markers.Methods: We retrospectively analyzed patients aged 18-40 years who were admitted to the emergency department with a diagnosis of acute myocarditis between January 2014 and January 2024. Patients were divided into non-fulminant and fulminant myocarditis groups based on diagnostic criteria.Results: SII, troponin I and N-terminal pro-brain natriuretic peptide (NT-proBNP) levels were significantly higher in the fulminant myocarditis group (p < 0.001 for all). Logistic regression analysis identified SII and NT-proBNP as independent predictors of fulminant myocarditis but not for troponin I (p = 0.064). The optimal cutoff value for SII in diagnosing fulminant myocarditis was 1020, with a sensitivity of 91% and specificity of 83%, outperforming troponin I. Patients with SII ≥1020 had a significantly higher risk of adverse outcomes.Conclusion: The SII enables early detection of adverse outcomes and is an independent predictor of prognosis in young adults with myocarditis.

Aim: Wilms' tumor 1-associating protein (WTAP), plays a part in colorectal cancer (CRC) progression. However, it is not yet known how WTAP affects cancer progression by influencing leukocyte rich repeat containing proteins (NLR) - family members 3 (NLRP3) - related inflammasomes.Materials & methods: We first validated the expression of WTAP in CRC at the tissue and cellular levels. Subsequently, by transfecting si-NC and si-WTAP into cells, we verified functions of WTAP in proliferation, invasion, migration and apoptosis of CRC cells. Finally, we analyzed the N6-methyladenosine (m6A) modification of NLRP3 by WTAP using methylated RNA immunoprecipitation (MeRIP)-qPCR technology, confirming that WTAP mediated the repression of NLRP3 inflammasome and the malignant progression of tumor cells.Results: WTAP was substantially upregulated in CRC tissues and cells. WTAP reinforced the migration, proliferation and invasion ability of CRC cells, and repressed apoptosis. Mechanistically, WTAP mediated the m6A modification of NLRP3, which suppressed the expression of NLRP3 and dampened the NLRP3/Caspase-1/GSDMD axis activation as well as pyroptosis, thereby facilitating the malignant progression of CRC.Conclusion: WTAP mediates m6A modification to modulate the repression of the NLRP3/Caspase-1/GSDMD axis in pyroptosis, reinforcing the malignant progression of CRC.

Aim: Inflammatory prognostic index (IPI), has been shown to be related with poor outcomes in cancer patients. We aimed to investigate the predictive role of IPI for contrast-induced nephropathy (CIN) development in non-ST segment elevation myocardial infarction patients using a nomogram and performing machine learning (ML) algorithms.Materials & methods: A total of 178 patients with CIN (+) and 1511 with CIN (-) were included.Results: CIN (+) patients had higher IPI levels, and IPI was independently associated with CIN. A risk prediction nomogram including IPI had a higher predictive ability and good calibration. Naive Bayes and k-nearest neighbors were the best ML algorithms for the prediction of CIN patients.Conclusion: IPI might be used as an easily obtainable marker for CIN prediction using ML algorithms.