Search Results (1,712)

Non-AIDS-defining cancers (NADCs) have emerged as an increasingly prominent cause of non-AIDS-related morbidity and mortality among people living with HIV (PLWH). However, the scarcity of NADC clinical samples, compounded by privacy and security constraints, continues to present formidable obstacles to advancing pathological and clinical investigations. In this study, we adopted a joint analysis strategy and deeply integrated and analyzed transcriptomic data from 12,486 PLWH and cancer patients to systematically identify potential key regulators for 23 NADCs. This effort culminated in NADCdb—a database specifically engineered for NADC pathological exploration, structured around three mechanistic frameworks rooted in the interplay of immunosuppression, chronic inflammation, carcinogenic viral infections, and HIV-derived oncogenic pathways. The “rNADC” module performed risk assessment by prioritizing genes with aberrant expression trajectories, deploying bidirectional stepwise regression coupled with logistic modeling to stratify the risks for 21 NADCs. The “dNADC” module, synergized patients’ dysregulated genes with their regulatory networks, using Random Forest (RF) and Conditional Inference Trees (CITs) to identify pathogenic drivers of NADCs, with an accuracy exceeding 75% (in the external validation cohort, the prediction accuracy of the HIV-associated clear cell renal cell carcinoma model exceeded 90%). Meanwhile, “iPredict” identified 1905 key immune biomarkers for 16 NADCs based on the distinct immune statuses of patients. Importantly, we conducted multi-dimensional profiling of these key determinants, including in-depth functional annotations, phenotype correlations, protein–protein interaction (PPI) networks, TF-miRNA-target regulatory networks, and drug prediction, to deeply dissect their mechanistic roles in NADC pathogenesis. In summary, NADCdb serves as a novel, centralized resource that integrates data and provides analytical frameworks, offering fresh perspectives and a valuable platform for the scientific exploration of NADCs. Full article

Triggering receptor expressed on myeloid cells-2 (TREM2) is a key myeloid immune checkpoint for macrophage plasticity. However, its functional landscape in urology is still incomplete. This review addresses this gap by providing the first systematic synthesis of TREM2 in urological malignancies (bladder, prostate, and renal cell carcinomas) and benign conditions. We find a strong correlation between TREM2 upregulation and adverse clinical outcomes in these cancers. Importantly, we highlight the phenomenon of “mechanistic convergence”: unlike the high context-dependency of other organ systems, TREM2 appears to drive progression in urological malignancies by a common convergent signaling hub, the PI3K/AKT pathway. This contrasts sharply with its metabolic role in benign prostatic hyperplasia and its protective role in non-malignant renal injury. We also consider the translational potential of TREM2 as a prognostic biomarker (specifically urine detection) and as a therapeutic target to reverse immunotherapy resistance. Full article

Background: Early recognition of renal allograft dysfunction requires biochemical markers capable of detecting molecular injury before functional decline becomes apparent. Serum creatinine, a late and nonspecific indicator of renal function, has limited value for early diagnosis. Protein biomarkers implicated in tubular injury, inflammation, and immune activation—including neutrophil gelatinase-associated lipocalin (NGAL), kidney injury molecule-1 (KIM-1), β2-microglobulin, interleukin-1β (IL-1β), and tumor necrosis factor-α (TNF-α)—have emerged as promising alternatives. This study evaluated early post-transplant serum profiles of these biomarkers and their prognostic relevance for long-term graft outcomes. Methods: Nineteen adult recipients undergoing primary kidney transplantation were prospectively enrolled. Serum creatinine and protein biomarkers were measured 24 h post-transplant using validated immunochemical assays. Biomarker concentrations were compared with values from healthy controls, and correlations with renal function at 12 months were assessed. Receiver operating characteristic (ROC) analysis was used to evaluate predictive performance. Results: Significant biochemical alterations were observed at 24 h post-transplant. KIM-1 levels were markedly elevated compared with controls (74.50 ± 98.45 vs. 10.54 ± 17.19 ng/mL; p = 0.01), consistent with early tubular injury. IL-1β and NGAL showed upward trends without reaching statistical significance. β2-microglobulin and TNF-α levels did not differ substantially from control values. Serum KIM-1 correlated with serum creatinine both at 24 h (r = 0.35) and at 12 months (r = 0.40). ROC analysis identified a KIM-1 threshold of 24.5 ng/mL (AUC = 0.68) as a potential indicator of future graft dysfunction, outperforming serum creatinine (AUC = 0.64). Six patients experienced graft dysfunction at 12 months post-transplant, five of whom had serum creatinine values > 5 mg/dL at 24 h. Based on early creatinine levels, patients were stratified into low-risk (creatinine < 5 mg/dL; n = 10) and high-risk groups (creatinine > 5 mg/dL; n = 9). Mean KIM-1 concentrations were significantly higher in the high-risk group (110.68 ± 115.29 vs. 26.67 ± 18.05 ng/mL; p = 0.05), consistent with more severe early tubular injury. Conclusions: Among the evaluated biomarkers, KIM-1 demonstrated the strongest potential as an early biochemical indicator of renal allograft dysfunction. Its rapid post-transplant elevation underscores its sensitivity to early tubular injury. Further prospective validation in larger, multicenter cohorts is warranted. Full article

Background: Although Duchenne muscular dystrophy (DMD) is primarily characterized as a skeletal muscle-wasting disorder, the resulting pathophysiological changes extend to multiple non-muscle tissues and organ systems. Among these, renal and urinary tract dysfunctions have been reported, albeit in relatively few studies, as potential complications in DMD patients, sometimes occurring from an early age. Importantly, as life expectancy improves, the incidence of renal impairment is also expected to increase. This narrative review summarizes the available evidence on kidney involvement in DMD and discusses the associated biomarkers of renal dysfunction within the context of multisystem disease progression. Methods: The review draws on data from both human and animal studies and analyzes published evidence to explore kidney involvement in DMD, with a focus on clinical manifestations, biomarkers of renal dysfunction, and potential pathogenic mechanisms. Results: Available data indicate a close association between cardiac and renal dysfunction, particularly in patients with advanced-stage DMD. The review explores potential underlying mechanisms of renal impairment, including intrinsic dystrophin deficiency in the kidney, secondary effects of cardiovascular complications, and the nephrotoxic impact of drug therapies, highlighting renal function as an active determinant of clinical risk. Conclusions: While cardiac function monitoring is already a cornerstone of multidisciplinary care for this multisystem disease, systematic assessment of renal function should also be implemented, with implications for clinical management and drug safety. Moreover, the risk of drug-induced nephrotoxicity warrants attention in both clinical management and the development of novel therapeutic strategies for DMD. Full article

Metabolic dysfunction has emerged as a central driver of cardiovascular, renal, hepatic, and endocrine disorders, challenging traditional organ-specific disease models. Increasing evidence indicates that conditions such as obesity, type 2 diabetes, chronic kidney disease, heart failure, and metabolic dysfunction–associated steatotic liver disease frequently develop in parallel, reflecting shared upstream metabolic abnormalities rather than isolated pathologies. This narrative review synthesizes recent clinical, epidemiologic, biomarker, and therapeutic evidence to examine metabolic dysfunction as a unifying framework for multisystem disease, with particular focus on the cardiovascular–renal–hepatic–metabolic (CRHM) model. A targeted literature search of major biomedical databases was conducted to identify relevant studies published between 2020 and 2025, encompassing observational cohorts, randomized trials, and integrative reviews addressing cross-organ metabolic interactions. The reviewed evidence highlights consistent clinical overlap across organ systems, stage-dependent risk amplification and the utility of shared metabolic and inflammatory biomarkers in capturing multisystem vulnerability. In parallel, contemporary metabolic therapies demonstrate coordinated benefits across cardiovascular, renal, and hepatic domains, supporting the concept of common modifiable disease drivers. The reviewed evidence supports a shift from organ-based toward metabolic-centric frameworks for risk stratification and prevention. Viewing metabolic dysfunction as the organizing principle of cardiometabolic disease may improve recognition of multisystem risk, facilitate earlier intervention, and provide a more coherent foundation for precision and preventive medicine, in an era of growing cardiometabolic multimorbidity. Full article

Diabetic kidney disease (DKD) affects up to 40% of individuals with diabetes and remains the leading cause of end-stage renal disease worldwide. Current biomarkers, such as albuminuria and estimated glomerular filtration rate, detect disease only after substantial kidney injury, limiting early intervention. Metabolomics offers unique potential to identify early biochemical changes preceding the clinical onset of DKD. This review synthesizes evidence from animal and human studies in diabetes without overt kidney disease, highlighting early perturbations in energy metabolism (TCA cycle, beta-oxidation, glycolysis) as well as alterations in amino acid, nucleotide and urea cycle pathways associated with future DKD risk. We discuss methodological considerations, translational relevance, and current research gaps and outline strategies for integrating metabolomics into predictive diagnostics. Early, non-invasive metabolic biomarkers may enable more precise risk stratification and timely intervention to improve patient outcomes. Full article

Background/Objectives: Hemodynamic and neurohormonal factors, including renal perfusion and venous pressure, may affect diuretic response, which may be modulated by body position. This study aimed to assess whether supine versus upright positioning influences diuretic efficacy and neurohormonal activation during early decongestion in patients with AHF and reduced ejection fraction (HFrEF). Methods: This single-center, prospective, pilot randomized study enrolled 12 hospitalized patients with decompensated HFrEF receiving guideline-directed medical therapy. Participants were randomized (1:1) to remain in either the supine or upright/seated position during intravenous furosemide administration (1 mg/kg: half of the dose administered as a bolus, half as a 2-h infusion). Serial measurements of urine volume, electrolyte excretion, and neurohormonal biomarkers (renin, aldosterone, catecholamines) were performed at baseline, 2, and 6 h after diuretic administration. Results: No significant differences were found between supine and upright groups in total urine output, urine dilution, sodium excretion, or weight change after 6 h. There were no statistically significant differences in renin and aldosterone levels across subsequent timepoints; however, renin concentration tended to be higher in upright than in supine individuals. Interestingly, supine participants demonstrated greater urinary adrenaline concentration after furosemide administration, alone and after adjustment for urinary creatinine. Conclusions: No clinically meaningful differences were found between supine versus upright position patients with AHF, receiving neurohormonal blockade. Full article

Background: Clear cell renal cell carcinoma (ccRCC) is the most prevalent kidney cancer subtype and, in most cases, it is incidentally diagnosed, as early-stage disease is often asymptomatic. Therefore, the identification of stable, noninvasive biomarkers is a major unmet clinical need. Urinary microRNAs (miRNAs) have emerged as promising candidates since they are extraordinarily stable in urine and show a close relationship with tumour biology. Methods: In this study, urinary expression levels of five miRNAs (miR-15a, miR-15b, miR-16, miR-210, and miR-let-7b) were analysed in RCC patients before surgery, 5 days after, and one month after surgery, and compared to healthy controls. Results: Non-parametric analyses revealed significant postoperative decreases for miR-15a (p = 0.002), miR-16 (p = 0.025), miR-210 (p = 0.030), and in the overall miRNA Sum (p = 0.002), suggesting that these miRNAs are directly linked to tumour presence. In the comparison between preoperative and one-month postoperative samples, miR-let-7b (p = 0.049) and the global miRNA Sum (p = 0.037) remained significantly reduced after intervention, indicating a partial normalisation of urinary miRNA profiles. Correlation analyses demonstrated positive associations between specific miRNAs and clinical parameters such as age, ischemia time, and surgical time, reinforcing their potential relevance to tumour biology and treatment response. Conclusions: These findings support urinary miRNAs as promising, minimally invasive biomarkers for ccRCC diagnosis and postoperative monitoring. Full article

Background/Objectives: Kidney cancer (RC) is a significant global health burden. Renal cell carcinoma (RCC) is the most common form of kidney cancer. Its predominant histological subtype is clear cell renal cell carcinoma (ccRCC), which is frequently diagnosed at an advanced local stage or with metastases. Detecting cancer at an early stage significantly increases the likelihood of a cure; therefore, research on new markers and a thorough understanding of tumor biology are essential. This study investigated the significance of aromatase (ARO), cathepsin S (CTSS), and matrix metalloproteinase 1 (MMP-1) as potential biomarkers in ccRCC. Methods: ARO, CTSS, and MMP-1 concentrations in plasma were determined using SPRi biosensors. Appropriate antibodies were used as biorecognition molecules in the biosensors. The samples analyzed came from 60 patients with histopathologically confirmed clear cell renal cell carcinoma (ccRCC) and from 26 patients diagnosed with chronic cystitis or benign prostatic hyperplasia (BPH). Results: A statistically significant increase (p < 0.00001) in the concentration of all proteins compared with the control samples was observed at the T3–T4 stage. The ARO concentration was already statistically significantly higher at the T1–T2 stage (p < 0.00001). The ROC curve for aromatase demonstrated high sensitivity and specificity for detecting ccRCC, with a cut-off point of 7.53 ng mL⁻¹. A moderate positive correlation was also found between the concentrations of the three tested substances in renal cancer, which may indicate potential interactions in the tumor’s pathogenesis. Conclusions: SPRI testing has been shown to be an alternative to standard methods for detecting potential ccRCC markers. The biosensors used in the study can simultaneously determine ARO, CTSS, and MMP-1. The results obtained suggest the potential importance of these proteins in the development of ccRCC, and our work proposes a new diagnostic technique that may aid in the diagnosis of ccRCC. Full article

Background: Renal and cardiac dysfunction are major determinants of adverse outcomes following transcatheter aortic valve replacement (TAVR). The ratio of blood urea nitrogen to left ventricular ejection fraction (BUN/EF) integrates renal and cardiac status into a single physiological index. This study aimed to evaluate the prognostic value of both baseline and temporal (48–72 h) BUN/EF ratios for predicting mortality after TAVR. Methods: A total of 429 patients (mean age 76 ± 8 years; 51% female) who underwent TAVR for severe aortic stenosis between 2017 and 2025 were retrospectively analyzed. The primary endpoint was long-term all-cause mortality; in-hospital mortality was secondary. Receiver operating characteristic (ROC) curves, Cox regression, and reclassification metrics (NRI, IDI) assessed prognostic performance. Restricted cubic spline (RCS) analysis explored non-linear associations. Results: During a median follow-up of 733 days, overall and in-hospital mortality rates were 37.8% and 7.9%, respectively. Both baseline and 48–72 h BUN/EF ratios were independently associated with mortality (HR = 3.46 and 3.79 per 1 SD increase; both p < 0.001). The temporal ratio showed superior discrimination for in-hospital mortality (AUC = 0.826 vs. 0.743, p = 0.007). Adding baseline BUN/EF to EuroSCORE II significantly improved model performance (AUC 0.712 vs. 0.668, p = 0.031; NRI = 0.33; IDI = 0.067). RCS analysis revealed a linear relationship for baseline and a steep, non-linear association for temporal ratios with mortality risk. Conclusions: The 48–72 h BUN/EF ratio is a robust dynamic biomarker that predicts early mortality after TAVR, while baseline BUN/EF identifies patients at long-term risk. Integrating this simple bedside index into risk algorithms may refine postoperative monitoring and improve outcome prediction in TAVR populations. Full article

Background/Objectives: Patients in need of specialized palliative care are clinically highly complex, with pain being the most prevalent problem. Furthermore, in these patients, a self-report for characterization of pain could be difficult to obtain. This cross-sectional, exploratory study investigates the use of clinical parameters and peripheral blood biomarkers for potentially identifying and characterizing pain (assessed using Pain Assessment in Advanced Dementia (PAINAD) and Numeric Scale (NS)) in patients under palliative care, including a population with dementia where pain is often underdiagnosed. Methods: Fifty-three patients with non-oncological diseases were analyzed in a cross-sectional study using medical and nursing records. Among previous biomarkers related to monocytes and platelets assessed by flow cytometry, we selected the most significative ones for pain characterization in a logistic regression analysis (multivariate analysis), alongside patient-specific characteristics such as renal function, nutritional status, and age. Results: Our exploratory findings suggest strong relationships between chronic pain and advanced age, reduced glomerular filtration rate (GFR), and malnutrition within this cohort. Furthermore, the percentage of lymphocytes, total and classical monocytes, the relative expression in monocytes of CD206, CD163, the CD163/CD206 ratio, and the relative expression in platelets of CD59 emerged as potential predictors of pain. Statistical analyses highlighted the challenges of multicollinearity among variables such as age, GFR, and nutritional status. A classification model further suggested that all patients over 65 years in our specific sample reported pain. Conclusions: This pilot study provides preliminary support for prior evidence linking chronic pain to aging, nutritional deficits, and renal impairment, and highlights potential novel peripheral blood biomarkers for pain assessment. This work emphasizes the promise of clinical and molecular biomarkers to improve pain detection and management, contributing to personalized and effective palliative care strategies. Full article

Autoantibodies have long been regarded as passive reflections of immune dysregulation in connective tissue diseases (CTDs). Recent advances in systems immunology and molecular pathology have fundamentally redefined them as active molecular fingerprints that delineate distinct disease endophenotypes with predictive power for clinical trajectories and therapeutic responses. Rather than mere epiphenomena, autoantibodies encode precise information about dominant immune pathways, organ tropism, and pathogenic mechanisms. This review synthesizes emerging evidence that autoantibody repertoires—defined by specificity, structural properties, and functional characteristics—stratify patients beyond traditional clinical taxonomy into discrete pathobiological subsets. Specific signatures such as anti-MDA5 in rapidly progressive interstitial lung disease, anti-RNA polymerase III in scleroderma renal crisis, and anti-Ro52/TRIM21 in systemic overlap syndromes illustrate how serological profiles predict outcomes with remarkable precision. Mechanistically, autoantibody pathogenicity is modulated by immunoglobulin isotype distribution, Fc glycosylation patterns, and tissue-specific receptor expression—variables that determine whether an antibody functions as a biomarker or pathogenic effector. The structural heterogeneity of autoantibodies, shaped by cytokine microenvironments and B-cell subset imprinting, creates a dynamic continuum between pro-inflammatory and regulatory states. The integration of serological, transcriptomic, and imaging data establishes a precision medicine framework: autoantibodies function simultaneously as disease classifiers and therapeutic guides. This endophenotype-driven approach is already influencing trial design and patient stratification in systemic lupus erythematosus, systemic sclerosis, and inflammatory myopathies, and is reshaping both clinical practice and scientific taxonomy in CTDs. Recognizing autoantibodies as endophenotypic determinants aligns disease classification with pathogenic mechanism and supports the transition towards immunologically informed therapeutic strategies. Full article

Background: As a widely used chemotherapeutic agent, cisplatin frequently induces acute kidney injury (AKI), which severely compromises patient survival and limits its clinical use. While the natural flavonoid diosmetin (Dio) shows promise in mitigating cisplatin-induced nephrotoxicity, its clinical translation is challenged by poor solubility, low bioavailability, and incompletely elucidated mechanisms. This study aimed to overcome these limitations by developing a novel drug delivery system using the microalgae Dunaliella salina (D. salina, Ds) to load Dio (Ds-Dio), thereby enhancing its efficacy and exploring its therapeutic potential. Methods: We first characterized the physicochemical properties of Ds and Dio, and then Ds-Dio complex was synthesized via co-incubation. Its nephroprotective efficacy and safety were systematically evaluated in a cisplatin-induced mouse AKI model by assessing renal function (serum creatinine, blood urea nitrogen), injury biomarkers, histopathology, body weight, and organ index. The underlying mechanism was predicted by network pharmacology and subsequently validated experimentally. Results: The novel Ds-Dio delivery system has been successfully established. In the AKI model, Ds-Dio significantly improved renal function and exhibited a superior protective effect over Dio alone; this benefit is attributed to the enhanced bioavailability provided by Ds carrier. In addition, Ds-Dio also demonstrated safety performance, with no evidence of toxicity to major organs. Network pharmacology analysis predicted the involvement of PI3K/AKT pathway, which was experimentally verified. Specifically, we confirmed that Ds-Dio alleviates AKI by modulating the PI3K/AKT pathway, resulting in concurrent suppression of NF-κB-mediated inflammation and activation of NRF2-dependent antioxidant responses. Conclusions: This study successfully developed a microalgae-based drug delivery system, Ds-Dio, which significantly enhances the nephroprotective efficacy of Dio against cisplatin-induced AKI. The nephroprotective mechanism is associated with modulation of the PI3K/AKT pathway, resulting in the simultaneous attenuation of oxidative stress and inflammation. Full article

Chronic thromboembolic pulmonary disease (CTEPD) is a severe long-term complication of acute pulmonary thromboembolism (PTE). Its pathogenesis is multifactorial, involving incomplete thrombus resolution, hemodynamic burden, comorbidities, and genetic factors. However, the contribution of inherited thrombophilic mutations to CTEPD development remains controversial. This retrospective cohort study included 204 patients diagnosed with acute PTE at a tertiary referral center between December 2023 and December 2024. Baseline demographic, clinical, laboratory, and echocardiographic data were collected. Genetic analysis assessed Factor II, Factor V Leiden, MTHFR C677T, MTHFR A1298C, Factor XIII V34L, and PAI-1 4G/5G polymorphisms. Patients were followed for at least 12 months for the development of CTEPD, defined according to guideline-based hemodynamic and imaging criteria. During follow-up, 17 patients (8.3%) developed CTEPD. Patients with CTEPD were significantly older and had higher baseline and follow-up systolic pulmonary artery pressure (sPAP) (p < 0.001), elevated NT-proBNP and troponin levels (both p < 0.001), and more frequent comorbidities, including cardiac and renal disease. Multivariate logistic regression identified comorbid diseases (HR: 0.17, 95% CI: 0.039–0.80, p = 0.025) and genetic thrombophilic factors (HR: 0.30, 95% CI: 0.10–0.91, p = 0.034) as independent predictors. Among genetic variants, only the PAI-1 4G/5G polymorphism was significantly associated with CTEPD (p = 0.001). Our study demonstrates that advanced age, comorbid diseases, elevated cardiac biomarkers, and genetic predisposition are associated with the development of CTEPD after acute PTE, while the PAI-1 4G/5G polymorphism may contribute to CTEPD susceptibility within a multifactorial context. Full article

Background and Objectives: This study was designed to evaluate the potential cardioprotective effect of Exenatide against doxorubicin (DOX)-induced myocardial injury in rats by assessing scintigraphic alterations together with oxidative stress and inflammation. Materials and Methods: This study included 28 adult male Wistar albino rats that were randomized to 4 groups (n = 7): control, Exenatide alone, DOX (receiving DOX (18 mg/kg, i.p) on days 5–7; Exenatide + DOX (treated with Exenatide together with the DOX). On day 8, ECG, 99mTc-PYP scintigraphy, and biochemical parameters were evaluated. Results: DOX caused ECG abnormalities—bradycardia, significant QT prolongation, and elevated ST-segment amplitude—along with increased myocardial PYP uptake. Exenatide + DOX group significantly improved ECG changes. Biochemically, DOX markedly increased cardiac injury biomarkers (cTnT, CK, CK-MB), hepatic and renal injury markers (ALT, AST, LDH, BUN, creatinine), SIRT-1 level, inflammatory marker (NF-κB, TNF-α, IL-6, NO) and oxidative stress indicators (MDA, TOS), while decreasing antioxidant defenses (GSH, TAS, Nrf2). Exenatide co-treatment significantly attenuated all DOX-induced changes. Conclusions: Exenatide markedly attenuates DOX-induced cardiotoxicity by improving electrical conduction, reducing myocardial radiotracer uptake, and restoring oxidative–inflammatory balance through partial recovery of the SIRT-1/Nrf2/NF-κB pathway. Full article