Hepatic iron deposition (HID) in the reticuloendothelial system (RES) is associated with histological severity in metabolic dysfunction-associated steatotic liver disease (MASLD). This study aimed to assess the interaction between the transferrin (TF)-rs1049296 C>T variant and HID patterns on the risk of significant liver fibrosis in MASLD.

We analyzed 406 adults with liver biopsy-confirmed MASLD. HID was categorized as hepatocellular, RES, or mixed, based on Perl's iron staining. The association between iron-related genetic variants and significant liver fibrosis (fibrosis stage ≥ F2) was analyzed, focusing on the interactions between single-nucleotide polymorphism genotypes and iron deposition patterns. Multivariable logistic regression analysis was used to adjust for potential confounders.

HID was detected in 271 (66.7%) patients, with hepatocellular, RES, and mixed patterns accounting for 11.1%, 18.0%, and 37.7%, respectively. A significant interaction was observed between HID and the TF-rs1049296 genotype (P = 0.035 for interaction). In multivariable analysis, male sex, hypertension, severe lobular inflammation, and mixed hepatocellular/RES iron deposition were independent predictors of significant liver fibrosis. RES deposition markedly increased the risk of significant liver fibrosis (adjusted odds ratio: 6.65; 95% confidence interval: 1.84–23.97, p < 0.05), particularly in men with isolated RES iron deposition (adjusted odds ratio: 5.26; 95% confidence interval: 1.21–22.81, p < 0.05).

The TF-rs1049296 T allele interacts with RES iron deposition to identify a MASLD subpopulation at elevated risk of progressive liver disease, providing opportunities for refined risk stratification and personalized management.

The prognostic nutritional index (PNI), calculated from serum albumin and lymphocyte count, reflects a patient’s immune-nutritional status and has been proposed as a prognostic marker in hepatocellular carcinoma (HCC). However, its role in advanced HCC patients treated with atezolizumab plus bevacizumab (Ate/Bev) remains unclear. In this study, we aimed to evaluate the prognostic value of PNI in patients receiving first-line Ate/Bev therapy.

We retrospectively analyzed 362 patients with unresectable HCC who received Ate/Bev between November 2020 and June 2023 across two centers. Based on prior literature, a cutoff of 45 was used to classify patients into low-PNI (<45) and high-PNI (≥45) groups. Propensity score matching was performed to balance baseline characteristics.

After propensity score matching, 130 patients (65 per group) were included in the analysis. The high-PNI group showed a significantly lower incidence of grade ≥ 3 treatment-related adverse events (10.8% vs. 24.6%, p = 0.039), a higher objective response rate (38.4% vs. 20.0%, p = 0.037), and significantly longer overall survival (16.7 vs. 7.9 months, p = 0.009). Although progression-free survival was longer in the high-PNI group (4.8 vs. 3.0 months), the difference was not statistically significant (p = 0.597). Multivariate analysis confirmed that PNI was an independent predictor of overall survival (hazard ratio: 0.574, 95% confidence interval: 0.353–0.933, p = 0.025), after adjusting for vascular invasion, alpha-fetoprotein levels, concurrent therapy, and post-treatment interventions.

PNI is an independent prognostic factor for overall survival in advanced HCC patients treated with Ate/Bev in real-world clinical practice. Incorporating PNI into routine assessments may enhance risk stratification and guide therapeutic decision-making.

For individuals with decompensated advanced chronic liver disease (dACLD), the onset of refractory ascites (RA) represents a dramatic event. In this setting, a relevant proportion of RA patients develop kidney dysfunction, as well as hepatorenal syndrome-acute kidney injury, with limited therapeutic and survival chances. An 81-year-old woman with dACLD-RA was admitted with severe ascites and stage IV chronic kidney dysfunction. On the second day, hepatorenal syndrome-acute kidney injury occurred, requiring standard medical therapy. Intravenous human albumin (HA) and terlipressin administration were compromised by poor venous access and severe respiratory dysfunction. After excluding transjugular intrahepatic portosystemic shunt and transplantation due to age and comorbidities, peritoneal dialysis (PD) was initiated, leading to renal recovery and ascites resolution. Two weeks later, she was readmitted due to the unfeasibility of accessing peripheral veins for the intravenous administration of HA, which was essential to support circulatory function, preserve oncotic balance, and properly manage both RA and chronic kidney dysfunction. A novel PD+HA protocol was therefore started, with intraperitoneal infusion of HA-enriched dialysate to allow a positive albumin gradient from dialysate to blood. Over 12 months, serum albumin levels increased, and clinical stability and improved nutritional status were observed, with no additional hospitalizations or complications. This is the first case describing the application of HA-enriched PD in managing a dACLD patient with RA and kidney dysfunction. HA-enriched PD may represent a promising strategy in complex dACLD care by guaranteeing frequent and small-volume paracentesis and preservation of oncotic pressure without dialytic albumin loss.

Microbial resistance and oxidative stress are two significant health issues associated with chronic illnesses and therapy failures. The antioxidant and antibacterial properties of Euphorbia cuneata Vahl. aerial component extracts made with various polarity solvents were assessed in this work.

Disc diffusion and minimum inhibitory concentration (MIC) tests were used to evaluate the 1,1-diphenyl-2-picrylhydrazyl radical scavenging activity, total phenolic and flavonoid contents, and antimicrobial activity of n-hexane, toluene, ethanolic, and aqueous extracts against specific ESKAPE pathogens (Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, and Candida albicans). High-performance liquid chromatography and gas chromatography-mass spectrometry were used to further characterize the most active extract.

Compared to the aqueous (IC₅₀ = 51.61 µg/mL), toluene (IC₅₀ = 30.57 µg/mL), and n-hexane (IC₅₀ = 128.15 µg/mL) extracts, the ethanolic extract demonstrated the greatest 1,1-diphenyl-2-picrylhydrazyl radical scavenging activity (97.90 ± 0.8%; IC₅₀ = 28.52 µg/mL). Additionally, it has the highest levels of flavonoids (40.5 ± 1.5 mg luteolin equivalents/g) and phenolic (80.0 ± 0.2 mg gallic acid equivalents/g). While gas chromatography-mass spectrometry found methyl 12-hydroxy-9-octadecenoate (44.39%) as the main volatile molecule, high-performance liquid chromatography analysis identified caffeic acid, pyrogallol, rutin, and 7-hydroxyflavone as important ingredients. The ethanolic extract showed antifungal activity against C. albicans (MIC = 6.25 mg/mL) and moderate antibacterial activity with the lowest MIC values against S. aureus (450 µg/mL) and E. coli (500 µg/mL).

The ethanolic extract of Euphorbia cuneata demonstrated potent in vitro antioxidant activity and moderate antimicrobial effects, primarily attributable to its high phenolic and flavonoid content. These results support its potential as a natural source of bioactive compounds for further development.

Pancreatic cystic neoplasms (PCNs) are increasingly detected in clinical practice, yet substantial variability exists in imaging interpretation and reporting, which may affect clinical decision-making. This guideline was developed to standardize diagnostic imaging evaluation and reporting for PCNs. A multidisciplinary expert panel conducted literature search and critical appraisal of domestic and international evidence, identified key clinical questions, and formulated recommendations using the Grading of Recommendations Assessment, Development and Evaluation framework. A modified Delphi consensus process and external review were performed to ensure the robustness of the recommendations. A total of 21 key questions were addressed, covering essential aspects of imaging evaluation and reporting for PCNs, including the preferred imaging modality for suspected lesions; standardized measurement of cyst size and mural nodules and their clinical significance; definitions of cyst wall and septal thickening; optimal imaging approaches for assessing the relationship between cystic lesions and the main pancreatic duct; measurement and evaluation of main pancreatic duct diameter and dilation; imaging-based classification of intraductal papillary mucinous neoplasms and serous cystic neoplasms; assessment of ductal obstruction, calcification, hemorrhage, and pancreatitis-related changes; criteria for suspicious lymph nodes; differentiation of PCNs from pancreatic pseudocysts or retention cysts; and recommended imaging modalities and follow-up intervals. This guideline provides a structured and evidence-based framework for imaging evaluation and reporting of PCNs, which may improve the consistency and clarity of imaging reports and support clinical decision-making.

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.

Normalization can standardize and improve machine learning (ML) performance on omics data. However, it is unclear whether normalization is associated with overfitting (i.e., worse cross-dataset performance than intra-dataset performance). Therefore, we aimed to examine associations of normalization and regularization with overfitting of ML on omics data.

Using three paired transcriptomic and clinical datasets (lung adenocarcinoma: the Cancer Genome Atlas (TCGA)/Oncology Singapore; melanoma: TCGA/Dana-Farber Cancer Institute; glioblastoma: TCGA/Clinical Proteomic Tumor Analysis Consortium), we applied ANOVA-based gene selection methods, six normalization methods, and six ML models to classify cancer patients’ deaths. Balanced accuracy (BA) and area under the curve (AUC) in intra- and cross-dataset settings were compared using inferential analyses.

Normalization consistently improved intra-dataset performance (median BA/AUC changes: 0.035–0.214/0.115–0.279) on all data, particularly with Z_Raw, but decreased or slightly increased cross-dataset performance (median BA/AUC changes: −0.029–0.079/0.029–0.064). Least Absolute Shrinkage and Selection Operator (LASSO) model without normalization consistently outperformed most of the ML models in cross-dataset testing across cancer types. ML models on all and molecular-alone data showed similar best performances.

Normalization increases ML’s intra-dataset performance and overfitting in three paired cancer transcriptomic and clinical datasets. Regularized models such as LASSO appear to mitigate overfitting and achieve robust cross-dataset performance. Therefore, cross-dataset evaluation and regularized models are recommended to assess and reduce overfitting, while normalization should be used cautiously. Adding clinical data seems to have little impact on ML models’ performance. However, future work on other diseases and datasets is warranted.

Given the lack of efficient biomarkers for hepatocellular carcinoma (HCC) diagnosis, this study aimed to develop an HCC diagnostic strategy based on serum protein glycosylation signatures. We characterized differential N-glycosylation patterns of serum IgG to differentiate HCC from healthy controls and liver cirrhosis, and elucidated the molecular mechanisms driving aberrant Neu5Gc elevation in HCC to provide a theoretical basis for clinical application and differential diagnosis of HCC.

LIP-ELISA was applied to quantify serum Neu5Gc in 6,768 healthy individuals for baseline establishment. IgG was purified and subsequently analyzed by RPLC-MS/MS for glycosylation profiling in HCC and healthy samples. Bioinformatic analysis of CMAH and related gene clusters modulating Neu5Gc synthesis was conducted.

In a cohort of 1,114 participants, the LIP-ELISA platform achieved 80.21% sensitivity, 96.01% specificity, and 92.46% accuracy for primary HCC diagnosis. Serum IgG from HCC patients displayed multi-branched N-glycans modified with core fucose and Neu5Gc. Key molecules involved in glycan modification were identified, enabling the development of multiplexed gene detection for HCC, LC, and chronic hepatitis B. In vitro assays confirmed hypoxia-induced sialic acid accumulation in HCC cells. Meanwhile, CMAH-knockout mouse experiments verified that an exogenous high-sialic-acid diet compensates for endogenous Neu5Gc synthesis deficiency, revealing a dietary-mediated compensatory mechanism for Neu5Gc elevation.

This study established an LIP-ELISA-based clinical diagnostic platform combining AFP and Neu5Gc, defined sialic acid–modified glycan structures, and preliminarily identified regulators of Neu5Gc biosynthesis, providing novel insights for HCC diagnosis and mechanism research.