Hepatic metastasis (HM) and lymph node metastasis in pancreatic ductal adenocarcinoma (PDAC) are associated with worse overall survival, largely due to the immunosuppressive microenvironment. However, the key immunosuppressive cells within this microenvironment remain inadequately defined. This study aimed to identify the cells contributing to HM and lymph node metastasis in PDAC and to investigate their regulatory mechanisms.

Single-cell RNA sequencing was used to profile the tumor microenvironment in HM, lymph node-negative, and lymph node-positive (LNP) PDAC tissues. Bioinformatic analyses revealed subtypes of immunosuppressive myeloid-derived suppressor cells (MDSCs). Immunofluorescence and flow cytometry were performed to detect the distribution and proportion of interleukin-1 receptor antagonist (IL1RA+) MDSCs. The immunosuppressive and pro-tumorigenic functions of IL1RA+ MDSCs were analyzed using enzyme-linked immunosorbent assay, quantitative reverse transcription polymerase chain reaction, Western blotting, and Transwell assays. Patient-derived xenograft mouse models were employed to validate the role of IL1RA+ MDSCs in vivo.

Polymorphonuclear-MDSCs were found to be recruited to metastatic PDAC tissues. Among these, IL1RA+ MDSCs were enriched in HM/LNP tissues and correlated with poorer prognosis. IL1RA+ MDSCs promoted M2 macrophage polarization and suppressed the activity of natural killer cells and cytotoxic T cells. Furthermore, IL1RA+ MDSCs accelerated PDAC migration and progression by upregulating epithelial–mesenchymal transition-related proteins in both in vitro and in vivo models.

IL1RA+ MDSCs represent a key immunosuppressive and pro-tumorigenic subtype in HM/LNP PDAC, providing a solid theoretical basis for prognostic prediction and the development of immunotherapeutic strategies targeting these cells in HM/LNP PDAC.

Cardiovascular diseases account for approximately 80% of all deaths caused by known medical conditions, making them the leading cause of mortality worldwide. The present study investigates the use of electrocardiogram (ECG) non-linear features and different topological medical features (heart rate, anthropometry, blood, glucose, and lipid profile, and heart rate variability) to discriminate between different Framingham Cardiovascular Risk Scale status groups in adult obesity using machine learning.

We conducted a cross-sectional study between November 2023 and May 2024 in Fortaleza, Ceará, Brazil. Based on the Framingham Cardiovascular Risk Scale, patients were categorized into three cardiovascular risk groups: Low (22 participants), Moderate (14 participants), and High (17 participants). From ECG signals at two different positions (ECG_Down and ECG_UP), 27 non-linear features were extracted using multi-band analysis. Additionally, 42 medical features provided by physicians were included. From a pool of 19 machine learning classifiers, models were trained and tested within a nested leave-one-out cross-validation procedure using information solely from ECG, solely from medical features, and combining both (multimodal), respectively, to distinguish between Low vs. Moderate, Low vs. High, Moderate vs. High, and All vs. All.

The multimodal model presented the best results for every comparison group, reaching (1) 88.89% Accuracy and 0.8831 area under the curve (AUC) for Low vs. Moderate; (2) 97.44% Accuracy and 0.9706 AUC for Low vs. High; (3) 93.55% Accuracy and an AUC of 0.9412 for Moderate vs. High; (4) 86.79% Accuracy and 0.9346 AUC for All vs. All.

The multimodal model outperformed single-source models in cardiovascular risk classification. ECG-derived non-linear features, especially from ECG_Down, were key drivers, with medical features adding complementary value. The results support its potential use in clinical triage and diagnosis.

Sterol regulatory element-binding protein 1 (SREBP1), a key regulator of lipogenesis, is highly expressed in tumors, but the mechanisms sustaining its elevated levels remain unclear. The role of UFMylation, a posttranslational modification, in modulating SREBP1 stability and tumor progression has not been explored. This study aimed to investigate the role of UFMylation in the progression of liver cancer.

Liquid chromatography-tandem mass spectrometry was employed to investigate the interacting proteins of ubiquitin-fold modifier 1-specific ligase 1 (UFL1). Knockdown of UFL1 and DDRGK domain-containing protein 1 (DDRGK1) was performed to assess SREBP1 stability. In vitro and in vivo models of hepatocellular carcinoma (HCC) were used to evaluate tumor progression. Clinical correlations between UFL1/DDRGK1 and SREBP1 levels were analyzed in HCC patient samples.

SREBP1 undergoes UFMylation, which synergizes with ubiquitination to reduce its stability. Depletion of UFL1 or DDRGK1 increased SREBP1 stability, driving HCC progression. Clinically, UFL1 and DDRGK1 levels were reduced in HCC tissues and inversely correlated with SREBP1 expression. Fatostatin (an SREBP1 inhibitor) enhanced the therapeutic effect of Lenvatinib in HCC models with low UFL1 expression.

UFMylation is a critical posttranslational modification that destabilizes SREBP1, and its dysregulation contributes to HCC progression. Targeting the UFMylation-SREBP1 axis, particularly through Fatostatin and Lenvatinib combination therapy, represents a novel therapeutic strategy for HCC.

Chimeric antigen receptor (CAR)-T cell therapy faces significant challenges in treating solid tumors, including immune evasion, suppressive tumor microenvironments, and on-target/off-tumor toxicity, which limit its clinical efficacy. Although it has revolutionized treatment for hematological malignancies, these obstacles hinder its broader application in solid tumors. Nanotechnology offers innovative strategies to address these limitations through enhanced delivery, localization, and control. This review summarizes recent advances in nanotechnology-assisted CAR-T cell therapies for gynecologic cancers, with a particular focus on messenger RNA (mRNA)-based delivery systems, lipid nanoparticles, hydrogels, and external activation techniques such as photothermal and acoustogenetic modulation. The integration of nanotechnology, especially mRNA-based delivery systems, holds transformative potential for overcoming these barriers. mRNA enables transient, non-integrating expression of CARs, meaning the genetic modifications are temporary. This improves safety and allows flexible control over treatment intensity, while rational sequence optimization (e.g., codon usage, guanine-cytosine content, secondary structure) enhances mRNA stability and protein translation efficiency. Lipid nanoparticles, the leading delivery platform, can be engineered for cell-type specificity and tissue targeting through modulation of their components and surface functionalization. Recent innovations, including siloxane-modified lipid nanoparticles, injectable hydrogels, and photothermal or acoustogenetic activation strategies, enable precise spatiotemporal control of CAR-T cell function in vivo. In ovarian cancer, preclinical studies targeting nfP2X7 and employing multifunctional nanoparticles have demonstrated synergistic efficacy and tumor-specific delivery. This review highlights how nanotechnology platforms can be integrated with CAR-T cell therapies to enhance safety, precision, and therapeutic outcomes in ovarian cancer.

Antralization is considered a critical, reversible stage preceding gastric cancer. However, available biomarkers for identifying antralization are lacking. This study aimed to explore antralization-specific biomarkers in peripheral blood and gastric mucosa.

In this prospective cohort study, adult patients presenting with upper gastrointestinal symptoms were enrolled and categorized into antralization and non-antralization groups based on pathological examination of gastric mucosa. Helicobacter pylori (H. pylori) infection was detected using the 13C-urea breath test, rapid urease test, and/or H. pylori serological test. Blood samples and gastric biopsies were collected for biomarker analysis.

Of the 92 patients studied, 42 (45.7%) were diagnosed with H. pylori infection and 61 (66.3%) with antralization. The rate of H. pylori infection and the incidence of acid reflux were higher in the antralization group than in the non-antralization group (both P < 0.05). Patients with antralization had higher plasma lymphocyte counts and lower serum levels of lipopolysaccharide (both P < 0.05). The positive rates and intensity of trefoil factor-2 and mucin (MUC) 6 expression were higher, whereas the positive rate and intensity of MUC5AC expression were lower in the incisura and body mucosa with antralization compared with those without antralization (all P < 0.05). Additionally, the intensity of MUC5B expression was higher in the gastric body mucosa with antralization than in those without antralization (P < 0.05).

Increased lymphocyte counts and decreased lipopolysaccharide levels in the blood, along with increased expression of trefoil factor-2, MUC6, and MUC5B and decreased MUC5AC expression in the proximal gastric mucosa, appear to be antralization-specific.

Bacterial infections (BIs) are common and severe complications in patients with liver cirrhosis, but global data are limited. Here, we aimed to evaluate the global prevalence, temporal changes, and associated mortality risk of BIs in liver cirrhosis.

We systematically searched PubMed, Embase, Web of Science, and the Cochrane Library for eligible studies published without language restrictions until 11 August 2025. A random-effects model was used for meta-analyses, meta-regression by study year, and pooling adjusted hazard ratios.

Fifty-nine studies, including 1,191,421 patients with cirrhosis, were analyzed. The pooled prevalence of BIs (33 studies) was 35.1% (95% confidence interval (CI): 29.2–41.4). The prevalence of Escherichia coli and Streptococcus spp. was 3.8% (95% CI: 2.5–5.2) and 1.5% (95% CI: 0.8–2.6), respectively. The pooled prevalence of multidrug-resistant bacteria was 6.8% (95% CI: 4.0–11.3). The most common BI sites were the gastrointestinal tract, ascites fluid, and urinary tract. The highest prevalence of BIs was reported in Europe (38.2%; 95% CI: 24.8–53.6), followed by South America (37.5%; 95% CI: 29.7–46.1) and Asia (22.8%; 95% CI: 16.3–30.9). Patients with acute-on-chronic liver failure showed the highest prevalence of BIs (44.2%; 95% CI: 29.7–59.8). A modest increasing trend in BIs prevalence was observed over time. BIs were associated with an increased risk of mortality in patients with cirrhosis (adjusted hazard ratios 2.22, 95% CI 1.33–3.71).

BIs are prevalent in cirrhosis, especially in acute-on-chronic liver failure, with a modest upward trend and increased mortality risk.

Acute-on-chronic liver failure (ACLF) is a life-threatening syndrome characterized by systemic inflammation and immune dysregulation, in which macrophages play a key role in organ injury. This study aimed to investigate the role and mechanism of pyruvate dehydrogenase kinase 4 (PDK4) in ACLF to identify therapeutic targets that modulate macrophage function and mitigate ACLF progression.

Single-cell RNA sequencing data from healthy and ACLF liver tissues were analyzed from the Sequence Read Archive database. Transcriptomic data of peripheral blood mononuclear cells from ACLF patients (GSE168048) were also examined. In vitro experiments assessed PDK4 expression and macrophage polarization, and conditioned-medium studies evaluated effects on LO2 hepatocytes. In vivo validation was performed in ACLF mouse models treated with a PDK4 inhibitor.

Single-cell analysis revealed a predominance of M1-polarized hepatic macrophages in ACLF with marked upregulation of PDK4. Peripheral blood mononuclear cell transcriptomics showed that higher PDK4 expression correlated with 28-day mortality. In vitro, PDK4 expression increased in M1 macrophages; PDK4 inhibition attenuated M1 polarization and reduced cytotoxic effects on LO2 cells. In vivo, pharmacologic inhibition of PDK4 suppressed M1 polarization in macrophages, alleviated liver inflammation, and reduced tissue injury. Mechanistically, PDK4 promoted M1 polarization via activation of signal transducer and activator of transcription 1 signaling.

PDK4 is a key pro-inflammatory regulator in ACLF by promoting M1 macrophage polarization. Targeting PDK4 may be a promising strategy to attenuate inflammation and improve clinical outcomes in ACLF.