Metabolic dysfunction-associated steatotic liver disease (MASLD) is an independent risk factor for cardiovascular disease (CVD). While gut bacteria have been linked to CVD, the role of intestinal fungi in subclinical coronary atherosclerosis (SCA) remains unclear. In this study, we aimed to investigate the association between the gut mycobiome and SCA in MASLD.

A cross-sectional study was conducted among 103 MASLD patients without established CVD. Fibrosis and steatosis were assessed using magnetic resonance elastography (MRE) and proton density fat fraction, respectively. SCA was defined by coronary artery calcification (CAC). Fecal fungal composition was analyzed via internal transcribed spacer sequencing.

Mean age was 60.8 ± 11.2 years; 51.5% were men; 20.4% had cirrhosis. CAC correlated with MRE (r = 0.489, p < 0.001), interleukin-6 (r = 0.407, p < 0.001), and tumor necrosis factor-α (r = 0.254, p = 0.018), but not proton density fat fraction. Cirrhosis patients had higher CAC than F0–F3 (456.9 vs. 205.9, p = 0.033). Candida albicans (C. albicans) abundance was greater in cirrhosis and correlated with CAC (r = 0.403, p < 0.001) and MRE (r = 0.212, p = 0.032). In multivariate analysis, older age, diabetes, obesity, cirrhosis, and enriched C. albicans independently predicted CAC ≥ 100 AU in MASLD.

In MASLD, cirrhosis and C. albicans enrichment are independently associated with higher SCA burden, suggesting advanced liver disease and a potential fungal contribution to CVD pathogenesis.

The rate of functional cure (HBsAg loss) remains unsatisfactory following pegylated interferon (PEG-IFN) treatment in chronic hepatitis B. To optimize PEG-IFN administration, this study aimed to evaluate virological markers to predict functional cure and/or hepatitis B e antigen (HBeAg) loss.

Relevant studies assessing virologic markers for predicting functional cure and HBeAg loss after PEG-IFN therapy were systematically retrieved from PubMed, Embase, the Cochrane Library, and Web of Science up to November 2023. Predictive effectiveness was evaluated via the summary receiver operating characteristic curve.

We analyzed 38 studies (6,179 patients). HBsAg decline at week 24 had the greatest discriminative ability according to the area under the receiver operating characteristic curve (AUROC) (0.89) and sensitivity (0.88) for predicting functional cure, whereas baseline HBsAg had a comparable AUROC (0.86) and highest specificity (0.79), with both being significantly better than baseline hepatitis B core-related antigen and hepatitis B virus (HBV) RNA (all P < 0.001). For HBeAg loss or seroconversion, HBV RNA, HBV DNA, HBeAg, and HBeAg decline at week 12, as well as HBV DNA and HBeAg decline at week 24, all exhibited comparable predictive values (AUROC = 0.75–0.78). HBV RNA and HBeAg levels at week 24 showed optimal sensitivity (0.87), and HBeAg decline at week 12 had the highest specificity (0.83).

HBsAg decline at week 24 and baseline HBsAg levels are better predictors of functional cure than novel virologic markers, while on-treatment HBV RNA and HBeAg levels and dynamic changes are the most reliable indicators for HBeAg loss.

Combined traumatic brain injury (CTBI) remains a leading cause of disability/mortality among workers, yet which routine biochemical tests that predict infectious complications remain controversial. We aimed to identify the most informative serum markers for early diagnosis and prognosis of such complications.

In this retrospective observational study, 80 acute CTBI patients (40 without vs. 40 with mainly bacterial infectious complications) and 40 healthy controls were analyzed. Serum collected at 24, 72, and 168 h was assayed for protein fractions, metabolic markers, lipid peroxidation indices, antioxidant activity, endogenous intoxication markers, acids/minerals, and relevant enzymes.

The study found that the most important prognostic indicator for infectious complications was a simultaneous increase in α1-globulins, β-globulins, diene conjugates, superoxide dismutase, medium- and low-molecular-weight substances in erythrocytes, erythrocyte oligopeptides, and lactate at 24 h after injury (p < 0.001). A significant increase in sialic acids, uronic acids, total Ca and P, and low-density lipoproteins was observed at 72 h after injury (p < 0.001). Notably, individual components from the 24-h panel demonstrated high standalone predictive value, with areas under the curve of diene conjugates (0.91), erythrocyte oligopeptides (0.87), β-globulin (0.86), α1-globulin (0.82), and superoxide dismutase (0.82), respectively. The elevation of these biomarker profiles was significantly correlated with worse clinical outcomes, including longer intensive care unit stay and ventilation duration.

This study identified a set of biochemical markers associated with infectious complications in patients with CTBI. These biochemical parameters may serve as additional diagnostic and prognostic criteria for the management of infectious complications in patients with СTBI.

Accurate identification of invasive fungal pathogens is crucial for appropriate antifungal therapy. The Department of Clinical Laboratory at Indus Hospital & Health Network, Karachi, Pakistan, reported two cases of invasive fungal infections between 1st January and 31st March 2024 in which conventional identification methods and automated systems produced discordant results, highlighting critical diagnostic challenges.

Two invasive yeast isolates initially showing budding yeast cells without pseudohyphae on Gram stain were subjected to conventional identification using cornmeal-Tween 80 agar, chrome agar, and BiGGY agar, followed by automated identification using the VITEK 2 ID-YST system and confirmatory API 20C AUX testing. Both isolates demonstrated typical soft, wrinkled, cream-colored colonies on Sabouraud dextrose agar, which on chrome agar appeared as dry, blue colonies and on BiGGY agar as dry, brown colonies. Characteristic arthroconidia and blastoconidia formation on cornmeal-Tween 80 agar were observed, consistent with Trichosporon species. However, the VITEK 2 ID-YST system identified both isolates as Cryptococcus laurentii with good confidence levels. India ink staining was negative for both isolates. Confirmatory API 20C AUX testing correctly identified both isolates as Trichosporon asahii (identification profile 3740734).

This discordance between automated and conventional methods underscores the continued importance of conventional identification techniques and highlights potential limitations of automated systems for certain uncommon yeasts. Laboratories should maintain proficiency in conventional methods and consider confirmatory testing when automated results conflict with morphological findings. The clinical implications of misidentification include inappropriate antifungal selection, given the different susceptibility patterns between these species.

Phenylethanoid glycosides (PhGs) are water-soluble natural compounds widely distributed in the plant kingdom, attracting significant attention from medicinal chemists due to their promising potential in pharmaceutical applications. PhGs exhibit a broad range of activities, including neuroprotective, hepatoprotective, anti-inflammatory, antioxidant, and immunomodulatory effects. This review aims to update the hepatoprotective effects of total PhG extracts and individual PhG compounds, as well as the underlying mechanisms. Additionally, we describe the structural characteristics, representative PhG compounds, and their structure–activity relationships. In brief, total PhG extracts can exert synergistic protection by reducing serum alanine aminotransferase/aspartate aminotransferase levels, suppressing oxidative stress, and attenuating inflammatory responses. Representative PhGs, including acteoside (verbascoside), echinacoside, forsythoside A (also known as forsythiaside A), and cistanoside A, protect against liver injury through modulation of the Nrf2/HO-1, NF-κB, MAPK, and TGF-β/Smad pathways, thereby regulating oxidative stress, inflammation, apoptosis, fibrosis, and lipid metabolism. Structurally, PhGs consist of a phenylethyl alcohol core, cinnamoyl residues, and glycosyl moieties. Structure–activity relationship analyses indicate that caffeoyl substitution, multiple phenolic hydroxyl groups, and optimal glycosylation patterns are key determinants of hepatoprotective efficacy.

Invasive pituitary adenomas with infrasellar extension can present with symptoms such as epistaxis and nasal obstruction, closely mimicking the clinical and radiological characteristics of nasopharyngeal carcinoma, which frequently leads to misdiagnosis. This report discusses the case of a 32-year-old male who was initially misdiagnosed with nasopharyngeal carcinoma for approximately one month and subsequently underwent radiotherapy and chemotherapy. However, a multidisciplinary assessment at our institution, incorporating magnetic resonance imaging findings of an invasive sellar mass, serum prolactin levels exceeding 2,000 ng/mL, and positive immunohistochemistry for PIT-1 and prolactin, established the diagnosis of an invasive prolactinoma. Treatment with bromocriptine led to significant tumor reduction. However, this was complicated by cerebrospinal fluid leakage, which subsequently resulted in an intracranial infection. The patient underwent surgical resection of the tumor and repair of the cerebrospinal fluid leak, with postoperative pathology confirming a PIT1-lineage, densely granulated, prolactin-secreting adenoma. The patient experienced a favorable recovery, with prolactin levels normalizing under continued bromocriptine therapy. This case highlights the critical importance of routine hormonal screening, thorough evaluation of nasopharyngeal mucosal integrity, and multidisciplinary collaboration in the diagnostic process.

Insulin resistance is a common extrahepatic manifestation of hepatitis C virus (HCV) infection (HCVi), but its mechanism is poorly understood. While systemic insulin resistance is documented, portal insulin dynamics, a key regulator of hepatic metabolism, remain unexplored. This study aimed to investigate the relationship between insulin, the gut-liver axis, and immunometabolic changes in patients with HCV.

HCV patients were evaluated before (HCVi; n = 29) and after sustained virologic response (SVR) achieved with sofosbuvir/velpatasvir treatment (SVR, n = 23) (NCT02400216). Liver biopsies, portal blood, and peripheral blood were collected at both phases. Statistical analyses were conducted using Wilcoxon rank-sum tests, Mann-Whitney tests, and Pearson’s correlation coefficients to assess differences and associations across insulin, glucose, cytokines, metabolites, immune cells, and hepatic liver transcriptomics to elucidate impaired insulin homeostasis in HCVi.

HCV patients had significantly reduced portal insulin compared to SVR (p = 0.02), while peripheral insulin, portal glucose, and peripheral glucose remained unchanged. Portal insulin correlated positively with proinflammatory cytokines and vascular injury markers and negatively with CD8/CD62L/CD45RA/CD3 cells (naive cytotoxic T-cells) and non-standard nucleotides. Hepatic transcriptomic analysis revealed portal insulin correlated positively with immune and negatively with amino acid pathways, reflecting insulin’s role in the perturbations of immunometabolism during HCVi.

Lower portal insulin during HCVi is associated with changes consistent with altered pancreatic insulin secretion and decreased hepatic insulin extraction. The observed correlations support a potential relationship between the immune response and insulin dynamics, indicating an interplay between the immune system, metabolism, and insulin in HCVi, with clinical implications for the management of dysglycemia.

Artificial intelligence (AI) translation in genitourinary (GU) pathology has progressed unevenly across organs and tasks. This review addresses a central clinical question: which GU pathology AI applications are deployment-ready, which require further validation, and what frameworks can guide safe implementation? We synthesize evidence across GU organs and introduce pragmatic translation frameworks to guide deployment and prioritize translational research.

Narrative review integrating foundational literature with targeted 2023–2025 publications, emphasizing regulatory milestones, external validation, and prospective studies. Literature was identified through PubMed, Embase, and conference proceedings using structured search terms for AI, digital pathology, and GU organ-specific queries. For each organ/task, we mapped evidence strength, regulatory maturity, generalizability, workflow integration, safety, and feasibility to a Translational Readiness Index (TRI) rubric (0–30 scale).

Prostate biopsy AI demonstrates the strongest maturity (TRI 26/30), supported by U.S. Food and Drug Administration-cleared systems, multi-site validation, and prospective implementations showing efficiency gains and reduced ancillary testing. Bladder cytology shows moderate readiness (TRI 19/30), with commercial offerings supporting pilotable prescreening workflows aligned with the Paris System when paired with uncertainty-aware deferral. Bladder histology, renal neoplasia, and low-prevalence domains (testis, penis) remain emerging (TRI 6–15/30), constrained by label variability, rare subtype underrepresentation, and limited external validation.

The TRI rubric, SURE-Path safety bundle, and VALIDATED/ORCHESTRATE implementation pathway provide a practical template for evidence-based deployment in GU pathology. Clinically defensible translation requires matching intended use to validation evidence, with explicit safeguards for emerging applications.