Search Results (4,722)

Background/Objectives: Low-grade systemic inflammation, characteristic of heart failure (HF), is a nonspecific inflammatory syndrome that affects the entire body. Macrophage migration inhibitory factor 1 (MIF-1) is a pro-inflammatory cytokine, a key mediator of the innate immune response, and may serve as a potential biomarker of monocyte homing and activation in HF with reduced and mildly reduced ejection fraction (HFrEF, HFmrEF). Methods: We evaluated 70 hemodynamically stable patients with left ventricular EF (LVEF) < 50% by means of echocardiography and blood sampling. Results: We report significant correlations between MIF-1, LVEF (r = −0.33, p = 0.005), LV global longitudinal strain (LVGLS, r = 0.41, p = 0.0004), and tricuspid annular plane systolic excursion (TAPSE, r = −0.37, p = 0.001). MIF-1 levels in HFrEF patients were relatively higher, but not significantly different from those observed in HFmrEF. MIF-1 showed significant associations with TAPSE to systolic pulmonary artery pressure ratio (TAPSE/sPAP, p < 0.0001). Also, patients with TAPSE/sPAP < 0.40 mm/mmHg had significantly higher levels of MIF-1 (p = 0.009). Moreover, ischemic cardiomyopathy (ICM) was more frequent in patients with MIF-1 concentrations above 520 pg/mL (57.1% MIF-1^hi vs. 28.6% MIF-1^lo, p = 0.029). In terms of congestion, MIF-1 showed significant associations with the presence of peripheral edema (p = 0.007), but none was found with self-reported dyspnea (p = 0.307) and New York Heart Association (NYHA) class (p = 0.486). Also, no relationship was reported with N-terminal pro-B-type natriuretic peptide concentrations (NT-proBNP, r = 0.14, p = 0.263). However, the six-minute walk distance was greater in individuals in the MIF-1^lo group when compared to those in the MIF-1^hi group (404.0 ± 127.4 vs. 324.8 ± 124.1 m, p = 0.010). Conclusions: Beyond identifying inflammatory biomarkers related to disease severity, linking MIF-1 to various pathophysiological mechanisms may highlight the active involvement of the monocyte-macrophage system in HF. This system holds notable significance in congestion-related conditions, acting as a major source of reactive oxygen species that perpetuate inflammation. Full article

Background: Acute kidney injury (AKI) has emerged as a significant complication in patients with coronavirus disease 2019 (COVID-19). The pathophysiology of COVID-19-associated AKI is multifactorial, involving both direct viral effects on renal cells and indirect mechanisms such as systemic inflammation and cytokine storms. This highlights the critical need for early detection and effective management strategies to mitigate kidney injury and improve patient outcomes. The aim of our study is to assess the potential predictive role of inflammatory biomarkers in determining the risk of developing COVID-19-associated AKI in patients with and without pre-existing CKD. Methods: This study included 84 patients stratified by pre-existing chronic kidney disease (CKD) status. Demographic, clinical, and laboratory data were collected, including vital signs, hematological profiles, renal function markers, inflammatory biomarkers, coagulation parameters, and treatments. Outcomes such as acute kidney injury (AKI) and in-hospital mortality were documented. Results: In patients with pre-existing CKD, IL-6 and NLR demonstrated high predictive accuracy for AKI onset. In patients without pre-existing CKD, white blood cell (WBC) count emerged as a significant predictor of AKI onset. Conclusions: The differential roles of IL-6, NLR, and WBC in predicting AKI onset highlight distinct physiopathological pathways influenced by COVID-19. In CKD+ patients, chronic inflammation and immune dysregulation are key drivers of AKI, with IL-6 and NLR serving as robust markers of this inflammatory state. In contrast, in CKD− patients, AKI may be more influenced by acute inflammatory responses and infectious factors, as reflected by WBC count. Full article

The cornerstone of first-line treatment in extensive-stage small cell lung cancer (ES-SCLC) is platinum- and etoposide-based chemotherapy. Platinum compounds could immunomodulate the tumor microenvironment in addition to their cytotoxic effect. Genetic variation in immune checkpoint (IC) pathways may predict chemotherapy efficacy. Polymorphisms in the IC genes were determined, and their association with survival was analyzed in 78 patients with ES-SCLC treated with chemotherapy. PD-L1 protein expression in tumor tissue was determined. Three variants in CD274 were associated with better median progression-free survival (mPFS): rs2297136 (hazard ratio [HR] 0.52, 95% CI 0.29–0.93; p = 0.03), rs2282055 (HR 0.23, 95% CI 0.09–0.64; p = 0.005), and rs822336 (HR 0.41, 95% CI 0.23–0.73; p = 0.002). CTLA4 rs231775 was also associated with mPFS (HR 0.30, 95% CI 0.14–0.63; p = 0.002). The variants CD274 rs2297136 and CD274 rs822336 were associated with platinum sensitivity (odds ratio [OR] 0.13, 95% CI 0.02–0.70; p = 0.02, and OR 0.08, 95% CI 0.01–0.46; p = 0.005, respectively). CD274 rs2297136 was also associated with better overall survival (p = 0.02), but not after adjustment for covariates. No association was found between CD274 germline variants and PD-L1 tumor expression. Our results suggest that CD274 and CTLA4 variants may be predictive biomarkers for platinum plus etoposide treatment in ES-SCLC. Full article

Prostate cancer (PCa) is the most frequently diagnosed malignancy in the male genitourinary tract. However, the regulatory mechanism of competitive endogenous RNAs (ceRNAs) in PCa remains unclear. In this study, we first performed immune scores of mRNA data from 481 PCa samples using single-sample Gene Set Enrichment Analysis (ssGSEA). Based on the immune scores, we then evaluated the tumor immune microenvironment and analyzed 28 types of immune cells in PCa, we constructed a comprehensive network with four lncRNAs (MEG3, PCAT1, SNHG19, TRG-AS1), three miRNAs (hsa-miR-488-3p, hsa-miR-210-5p, hsa-miR-137), and twenty-seven mRNAs (including H2AFJ, THBS1, HPGD). Among the 28 immune cell types, seven immune cell types were found to be significantly associated with clinical characteristics. These network nodes have prognostic significance in multiple cancers and play critical roles in malignancy development, indicating the network’s predictive capability. We also observed a strong correlation (r = 0.6) between T-helper type 1 (Th1) cells and lncRNA network modules. The network connectivity highlights the association between immune therapy biomarkers for PCa, particularly those related to H2AFJ, THBS1, and HPGD. These findings provide valuable insights into the ceRNA regulatory network and its implications for immune-based therapies in PCa. Full article

Colorectal cancer (CRC) progression occurs through three stages: adenoma (pre-cancerous lesion), carcinoma in situ (CIS) and adenocarcinoma, with tumor stage playing a pivotal role in the prognosis and treatment outcomes. Despite therapeutic advancements, the lack of stage-specific biomarkers hinders the development of accurate diagnostic tools and effective therapeutic strategies. This study aims to identify stage-specific gene expression profiles and key molecular mechanisms in CRC providing insights into molecular alterations across disease progression. Our methodological approach integrates the use of absolute gene set enrichment analysis (absGSEA) on formalin-fixed paraffin-embedded (FFPE)-derived transcriptomic data, combined with large-scale clinical validation and experimental confirmation. A comparative whole transcriptomic analysis (RNA-seq) was performed on FFPE samples including adenoma (n = 10), carcinoma in situ (CIS) (n = 8) and adenocarcinoma (n = 11) samples. Using absGSEA, we identified significant cellular pathways and putative molecular biomarkers associated with each stage of CRC progression. Key findings were then validated in a large independent CRC patient cohort (n = 1926), with survival analysis conducted from 1336 patients to assess the prognostic relevance of the candidate biomarkers. The key differentially expressed genes were experimentally validated using real-time PCR (RT-qPCR). Pathway analysis revealed that in CIS, apoptotic processes and Wnt signaling pathways were more prominent than in adenoma samples, while in adenocarcinoma, transcriptional co-regulatory mechanisms and protein kinase activity, which are critical for tumor growth and metastasis, were significantly enriched compared to adenoma. Additionally, extracellular matrix organization pathways were significantly enriched in adenocarcinoma compared to CIS. Distinct gene signatures were identified across CRC stages that differentiate between adenoma, CIS and adenocarcinoma. In adenoma, ARRB1, CTBP1 and CTBP2 were overexpressed, suggesting their involvement in early tumorigenesis, whereas in CIS, RPS3A and COL4A5 were overexpressed, suggesting their involvement in the transition from benign to malignant stage. In adenocarcinoma, COL1A2, CEBPZ, MED10 and PAWR were overexpressed, suggesting their involvement in advanced disease progression. Functional analysis confirmed that ARRB1 and CTBP1/2 were associated with early tumor development, while COL1A2 and CEBPZ were involved in extracellular matrix remodeling and transcriptional regulation, respectively. Experimental validation with RT-qPCR confirmed the differential expression of the candidate biomarkers (ARRB1, RPS3A, COL4A5, COL1A2 and MED10) across the three CRC stages reinforcing their potential as stage-specific biomarkers in CRC progression. These findings provide a foundation to distinguish between the CRC stages and for the development of accurate stage-specific diagnostic and prognostic biomarkers, which helps in the development of more effective therapeutic strategies for CRC. Full article

Secondary dilated cardiomyopathy (DCM) refers to left ventricular dilation and impaired systolic function arising from identifiable extrinsic causes, such as ischemia, hypertension, toxins, infections, systemic diseases, or metabolic disorders. Unlike primary DCM, which is predominantly genetic, secondary DCM represents a diverse spectrum of pathophysiological mechanisms linked to external insults on myocardial structure and function. The increasing prevalence of conditions such as alcohol use disorder, chemotherapy-induced cardiotoxicity, and viral myocarditis underscores the need for heightened awareness and early recognition of secondary DCM. A comprehensive analysis of clinical trial data and observational studies involving secondary dilative cardiomyopathy was conducted, with a focus on mortality, symptom relief, and major adverse events. A systematic literature review was performed using databases, including PubMed, Embase, and ClinicalTrials.gov, following PRISMA guidelines for study selection. Data were extracted on patient demographics, etiology of dilation, trial design, outcomes, and follow-up duration. Advances in diagnostic modalities have refined the ability to identify underlying causes of secondary DCM. For example, high-sensitivity troponin and cardiac magnetic resonance imaging are pivotal in diagnosing myocarditis and differentiating it from ischemic cardiomyopathy. Novel insights into toxin-induced cardiomyopathies, such as those related to anthracyclines and immune checkpoint inhibitors, have highlighted pathways of mitochondrial dysfunction and oxidative stress. Treatment strategies emphasize the management of the causing condition alongside standard heart failure therapies, including RAAS inhibitors and beta-blockers. Emerging therapies, such as myocardial recovery protocols in peripartum cardiomyopathy and immune-modulating treatments in myocarditis, are promising in reversing myocardial dysfunction. Secondary DCM encompasses a heterogeneous group of disorders that require a precise etiological diagnosis for effective management. Timely identification and treatment of the underlying cause, combined with optimized heart failure therapies, can significantly improve outcomes. Future research focuses on developing targeted therapies and exploring the role of biomarkers and precision medicine in tailoring treatment strategies for secondary DCM. Full article

The study of exosomes is currently an area of major interest in the scientific world, especially after the discovery of their function as natural nanocarriers. Their intrinsic features in regulating intricate intracellular pathways have put them in the spotlight in the last decade, and it has been considered that by harnessing them, the future of cellular communication and therapeutic innovation will experience a breakthrough, leading to pioneering research. However, it has been demonstrated that exosomes have various important roles, from conferring resistance to viral infections of the human placenta to transfer of oncogenic signals between cells, reshaping cellular metabolism, promoting angiogenesis, mediating immune evasion, serving as biomarkers in cancer diagnosis and prognosis, and having implications in the therapeutic management of certain diseases. Besides the general overview of exosomes as nature’s nanocarriers and their functions, this article aims to discuss their implications in PitNETs, especially since there have been many recent studies regarding the clinical benefits of biomolecular medicine. Full article

Background: Severe acute exacerbations of chronic obstructive pulmonary disease (AECOPD) are a leading cause of intensive care unit (ICU) admissions and in-hospital mortality. Several hematological inflammatory biomarkers, including neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), monocyte-to-lymphocyte ratio (MLR), derived NLR (dNLR), and systemic immune-inflammation index (SII), have been proposed as markers of disease severity and mortality. Methods: A retrospective study was conducted on 104 ICU patients with AECOPD over a two-year period. We collected and analyzed clinical, demographic, and laboratory data. The hematological indices of the two groups—survivors (n = 39) and non-survivors (n = 65)—were compared to assess differences. We used t-tests, ANOVA, chi-square tests, and Mann–Whitney U tests to compare the groups. The factors that independently predicted mortality were identified using multivariate logistic regression. We examined survival differences using Kaplan–Meier analysis, and ROC curves were utilized to evaluate the predictive power of each biomarker. Results: Mortality was substantially predicted by higher SII (OR: 1.92, 95% CI: 1.24–3.08, p = 0.002) and NLR (OR: 2.89, 95% CI: 1.72–4.82, p < 0.001). Patients with NLR > 8.0 and SII > 1800 had significantly lower survival rates (log-rank p < 0.001), according to Kaplan–Meier analysis. SII (AUC = 0.79) and NLR (AUC = 0.82) were the best predictors of death, according to ROC analysis. Conclusions: In ICU-admitted AECOPD patients, NLR, MLR, PLR, dNLR, and SII are independent predictors of mortality. Due to their ease of evaluation and predictive capabilities, they should be included in ICU risk models for early interventions. Full article

Endometriosis (EM) is a common estrogen-dependent chronic inflammatory disorder affecting reproductive-aged women, yet its pathogenesis remains incompletely understood. Recent evidence suggests that the gut microbiota significantly influence immune responses, estrogen metabolism, and systemic inflammation, potentially contributing to EM progression. This narrative review explores the relationship between the gut microbiota and EM, emphasizing microbial dysbiosis, inflammation, estrogen regulation, and potential microbiome-targeted therapies. Studies published within the last 30 years were included, focusing on the microbiota composition, immune modulation, estrogen metabolism, and therapeutic interventions in EM. The selection criteria prioritized peer-reviewed articles, clinical trials, meta-analyses, and narrative reviews investigating the gut microbiota’s role in EM pathophysiology and treatment. Microbial dysbiosis in EM is characterized by a reduced abundance of beneficial bacteria (Lactobacillus, Bifidobacterium, and Ruminococcaceae) and an increased prevalence of pro-inflammatory taxa (Escherichia/Shigella, Streptococcus, and Bacteroides). The gut microbiota modulate estrogen metabolism via the estrobolome, contributing to increased systemic estrogen levels and lesion proliferation. Additionally, lipopolysaccharides (LPS) from Gram-negative bacteria activate the TLR4/NF-κB signaling pathway, exacerbating inflammation and EM symptoms. The interaction between the gut microbiota, immune dysregulation, and estrogen metabolism suggests a critical role in EM pathogenesis. While microbiota-targeted interventions offer potential therapeutic benefits, further large-scale, multi-center studies are needed to validate microbial biomarkers and optimize microbiome-based therapies for EM. Integrating microbiome research with precision medicine may enhance the diagnostic accuracy and improve the EM treatment efficacy. Full article

Metastatic prostate cancer (mPCa) remains a significant cause of cancer-related mortality in men. Advances in molecular profiling have demonstrated that the androgen receptor (AR) axis, DNA damage repair pathways, and the PI3K/AKT/mTOR pathway are critical drivers of disease progression and therapeutic resistance. Despite the established benefits of hormone therapy, chemotherapy, and bone-targeting agents, mPCa commonly becomes treatment-resistant. Recent breakthroughs have highlighted the importance of identifying actionable genetic alterations, such as BRCA2 or ATM defects, that render tumors sensitive to poly-ADP ribose polymerase (PARP) inhibitors. Parallel efforts have refined imaging—particularly prostate-specific membrane antigen (PSMA) positron emission tomography-computed tomography—to detect and localize metastatic lesions with high sensitivity, thereby guiding patient selection for PSMA-targeted radioligand therapies. Multi-omics innovations, including liquid biopsy technologies, enable the real-time tracking of emergent AR splice variants or reversion mutations, supporting adaptive therapy paradigms. Nonetheless, the complexity of mPCa necessitates combination strategies, such as pairing AR inhibition with PI3K/AKT blockade or PARP inhibitors, to inhibit tumor plasticity. Immuno-oncological approaches remain challenging for unselected patients; however, subsets with mismatch repair deficiency or neuroendocrine phenotypes may benefit from immune checkpoint blockade or targeted epigenetic interventions. We present these pivotal advances, and discuss how biomarker-guided integrative treatments can improve mPCa management. Full article

Aims: To investigate the effect of Glutathione metabolism in prostate cancer pathogenesis. Background: There is growing evidence that Glutathione metabolism plays an important role in prostate cancer, with genes encoding key enzymes in this pathway potentially serving as diagnostic or prognostic biomarkers. Objective: To explore whether there is a causal relationship between key enzymes in the Glutathione metabolism and prostate cancer, and to further investigate the molecular mechanisms and roles of the genes encoding their proteins in relation to prostate cancer. Method: Transcriptomic datasets from the Gene Expression Omnibus (GEO) database were analyzed to identify differentially expressed genes (DEGs) and enriched pathways in prostate cancer versus normal tissues. Two-sample bidirectional Mendelian randomization (MR) was employed to assess causal relationships between Glutathione metabolic enzymes (exposure) and prostate cancer risk (outcome). Immune infiltration analysis and LASSO regression were performed to construct a diagnostic model. Single-cell RNA sequencing (scRNA-seq) data were utilized to elucidate cell-type-specific expression patterns and functional associations of target genes. Result: The results of two-sample bidirectional MR showed that Glutathione S-transferase P (GSTP) in Glutathione metabolism could reduce the risk of prostate cancer. The Glutathione S-transferase Pi-1 (GSTP1) gene was lowly expressed in prostate cancer and was able to diagnose prostate cancer more accurately. Single-cell analysis showed that the high expression of GSTP1 in prostate cancer epithelial cells was closely associated with the upregulation of the P53 pathway and apoptosis. Conclusions: Our study reveals that GSTP in Glutathione metabolism reduces the risk of prostate cancer and further analyzes the genetic association and mechanism of action between GSTP1 and prostate cancer. Full article

Objective: Lung adenocarcinoma (LUAD) remains a leading cause of cancer-related mortality, particularly in advanced stages. This study investigates the anticancer mechanisms of calycosin, an isoflavonoid derived from Astragalus membranaceus, in LUAD. Methods: Using integrative approaches including bulk and single-cell RNA sequencing, network pharmacology, and molecular docking, we identified SMAD3 as a critical biomarker associated with LUAD staging and prognosis. Results: Calycosin targets SMAD3, modulating the NOTCH signaling pathway in monocytes/macrophages to suppress tumor growth, invasion, and immune evasion. Enrichment analyses revealed significant involvement of NOTCH signaling components in SMAD3-correlated genes, particularly in advanced-stage LUAD. Single-cell RNA sequencing further demonstrated NOTCH pathway enrichment in tumor-associated monocytes/macrophages. Additionally, KMT2A was identified as a key transcriptional regulator in these cells. Conclusions: These findings highlight the potential effects of calycosin and provide novel insights into targeting the tumor–immune microenvironment in LUAD. Full article

Background/Objectives: Lipid metabolism plays a crucial role in uterine corpus endometrial carcinoma (UCEC); however, its specific mechanisms remain to be fully elucidated. This study aimed to construct a lipid-metabolism-related prognostic model and explore its association with the tumor immune microenvironment. Methods: A total of 552 UCEC and 35 normal tissue samples from The Cancer Genome Atlas (TCGA) database were analyzed to identify differentially expressed lipid-metabolism-related genes (DE-LMRGs). A prognostic risk model was established using univariate Cox analysis, least absolute shrinkage and selection operator (LASSO) regression, and multivariate Cox regression, and its clinical utility was assessed through nomogram construction. Functional enrichment analysis was performed to explore the biological pathways involved. Tumor immune infiltration patterns were evaluated using single-sample Gene Set Enrichment Analysis (ssGSEA), Estimation of Stromal and Immune Cells in Malignant Tumors using Expression Data (ESTIMATE), and Tumor Immune Dysfunction and Exclusion (TIDE) algorithms. Results: Multivariate analysis indicated that the prognostic model had robust predictive value, with AUCs of 0.701, 0.746, and 0.790 for 1-, 3-, and 5-year overall survival predictions. High-risk patients exhibited a suppressed immune microenvironment characterized by reduced immune cell infiltration, lower tumor mutation burden (TMB), and elevated TIDE scores, suggesting potential resistance to immunotherapy. Furthermore, LIPG was identified as a key hub gene through the intersection of nine machine learning algorithms, demonstrating strong associations with both cancer progression and immune infiltration. Functional validation using Cell Counting Kit-8 (CCK-8), wound healing, and transwell migration assays following small interfering RNA (siRNA) transfection demonstrated that LIPG promotes UCEC cell proliferation and migration in vitro. Conclusions: These findings highlight the critical role of lipid metabolism in UCEC progression and immune modulation, with LIPG emerging as a potential prognostic biomarker. The identified lipid-metabolism-related gene signature may provide new insights into tumor microenvironment interactions. Full article

Gynecologic tumors are a leading cause of cancer-related mortality in women worldwide, with endometrial, ovarian, and cervical types being the most prevalent. Aberrant glycosylation, a key post-translational modification, plays a crucial role in tumor development, metastasis, and immune evasion. Specific glycosylation changes, such as altered sialylation and fucosylation, have been identified in gynecologic cancers and are associated with disease progression and prognosis. Understanding glycosylation alterations in gynecologic cancers holds promise for novel diagnostic and therapeutic approaches, ultimately enhancing patient outcomes. In this study, the serum N-glycome was analyzed in patients with myoma uteri, endometriosis, and cervical carcinoma by hydrophilic-interaction liquid chromatography (HILIC-UPLC) with fluorescence (FLR) and mass-spectrometric (MS) detection in order to identify their biomarker potential. Individual serum samples were deglycosylated by PNGase F digestion followed by procainamide labeling and solid-phase-extraction-based purification. All disease groups exhibited consistently higher levels of specific bi-antennary glycans (A2G2 and A2G2S1) compared to control patients. Additionally, significantly higher levels of agalactosylated and mono-sialylated glycans were found in cervical cancer, while a notable decrease in bisected N-glycans, alongside an increase in highly branched tetra-sialylated glycans, was found in endometriosis. Our study serves as proof-of-concept, demonstrating that discovering biomarkers within the serum N-glycome is a promising approach for identifying non-invasive indicators of gynecologic conditions. Full article

Identifying the specific factors secreted during early pregnancy is an effective method for pregnancy detection in cattle, helping to reduce empty pregnancies in the industry. To systematically investigate metabolic variations between early pregnancy and the estrous cycle and their relationship with pregnancy progression, this study utilized four-dimensional data-independent acquisition (4D-DIA) proteomics and liquid chromatography–tandem mass spectrometry (LC-MS/MS) metabolomics to analyze serum samples collected from Chinese native yellow cattle at day 0 and day 21 post-mating, combining bioinformatics analysis with experimental validation. The platelet activation signaling pathway and angiogenesis-related proteins were significantly upregulated. Among them, fibrinogen alpha/beta/gamma chains (FG) exhibited notable differences, with their branched-chain protein FGB showing highly significant upregulation (p = 0.003, Log₂FC = 2.167) and tending to increase gradually during early pregnancy, suggesting that FGB could be one of the important indicators of early pregnancy in Chinese native yellow cattle. Among the differential metabolites, 11-Deoxy prostaglandin F1α (p < 0.001, Log₂FC = 1.563), Thromboxane B1 (p = 0.002, Log₂FC = 3.335), and Homo-Gamma-Linolenic Acid (C20:3) (p = 0.018, Log₂FC = 1.781) were also increased, indicating their involvement in the regulation of the platelet activation signaling pathway. The platelet activation signaling pathway plays a crucial role in maternal immune tolerance and placental vascularization, which are essential for embryo implantation and placental development. These findings indicate that FGB has the potential to be a valuable biomarker for early cattle pregnancy detection, thereby improving pregnancy diagnosis accuracy, reducing economic losses caused by undetected empty pregnancies and enhancing reproductive efficiency in the cattle industry. Undoubtedly, our research outcomes must be validated with future studies, and a larger sample size as well as the evaluation of the potential endocrine effects induced by the synchronized estrus treatment must be considered. Full article