Chronic hepatitis B virus (HBV)-infected patients may exhibit liver fibrosis and other pathological changes despite normal alanine aminotransferase (ALT). This study aimed to assess the efficacy and safety of tenofovir amibufenamide (TMF) in chronic HBV-infected patients with normal ALT levels.

The ongoing PROMOTE study (NCT05797714) is the first prospective, multicenter, randomized, open-label, blank-controlled clinical trial involving chronic HBV-infected patients with normal ALT levels. Participants were randomized in a 1:1 ratio to receive either TMF (TMF group) or no treatment (blank control group). The primary efficacy endpoint was the proportion of participants achieving HBV DNA levels <20 IU/mL at 48 weeks.

A total of 197 participants were enrolled, with 95 in the TMF group and 102 in the blank control group. At 48 weeks, a significantly greater proportion of participants in the TMF group achieved HBV DNA levels <20 IU/mL compared with the control group (74.2% vs. 9.0%, P < 0.001). The TMF group demonstrated more pronounced reductions in HBV DNA (−2.63 vs. −0.22 log10 IU/mL, P < 0.001), HBsAg (−0.07 vs. −0.04 log10 IU/mL, P = 0.02), and ALT levels (−14.09% vs. 0%, P = 0.003) compared with the blank control. In the TMF group, the proportion of participants with high-normal ALT levels (20–40 IU/L) was reduced. No significant differences were observed between the groups in creatinine, glomerular filtration rate, bone turnover biomarkers, lipid profiles, or phosphorus levels.

TMF treatment demonstrates significant efficacy in chronic HBV-infected patients with normal ALT levels and shows a favorable safety profile regarding bone, renal, and lipid parameters. The PROMOTE study is ongoing, and further results at 96 and 144 weeks are expected to provide additional insights.

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.

Gut dysbiosis has been reported in severe liver diseases. However, information on the impact of hepatitis E virus infection on the gut microbiota, and the association between enteric microbiota disturbances and acute hepatitis E (AHE), is limited, particularly in elderly patients with AHE (AHE-elderly). Our objective was to characterize the AHE-specific microbiome in elderly patients and evaluate its association with clinical outcomes.

Fecal samples and clinical data were collected from 58 AHE-elderly patients (46 self-healing cases, 12 non-self-healing cases) and 30 elderly patients with healthy controls (hereinafter referred to as HCs-elderly). Gut microbiota composition was analyzed using 16S rRNA gene sequencing. Bioinformatic analyses, including alpha diversity and STAMP, were performed. The predictive potential of Bacteroides fragilis was assessed using statistical analysis and receiver operating characteristic curves.

Alpha diversity indices showed no significant differences in microbial diversity between the AHE-elderly and HCs-elderly groups, nor between self-healing and non-self-healing groups among AHE-elderly patients. Nevertheless, a trend toward altered species richness was observed. In the AHE-elderly group, the relative abundance of Firmicutes, Lactobacillales, and Bacilli increased significantly. Meanwhile, compared with the self-healing group, Bacteroidetes were more abundant in the non-self-healing group. At the species level, Bacteroides fragilis was the most abundant in the non-self-healing group, significantly contributing to the divergence in gut microbiota between the two groups.

The relative abundance of Bacteroidetes significantly distinguished AHE-elderly patients from healthy controls and could more accurately predict recovery outcomes in elderly AHE patients. These findings suggest new strategies for preventing and managing AHE recurrence in the elderly patients.

Atypical teratoid/rhabdoid tumor (AT/RT) is a rare and highly aggressive embryonal tumor that predominantly affects infants and young children. This malignancy arises from primitive neuroectodermal cells and exhibits heterogeneous differentiation into various embryonic tissues. Due to its rarity and complexity, diagnosing and managing AT/RT present significant challenges. Recent studies have summarized the key features of cerebellar and supratentorial AT/RT cases; however, critical gaps remain in understanding their diffuse leptomeningeal variants and long-term functional outcomes. Here, we report a case of a two-year-old child diagnosed with cerebellar AT/RT, who presented with vomiting and gait instability. The patient underwent a gross total resection followed by adjuvant radiotherapy and chemotherapy. Despite achieving radiological remission, the patient survived for only eight months and experienced severe neurological deficits, including persistent ataxia and recurrent infections. This case highlights the disconnect between surgical success and long-term quality of life. It underscores the importance of integrating molecular diagnostics and palliative care to address the multifaceted burden of AT/RT.

The incidence of metabolic dysfunction-associated steatotic liver disease (MASLD) has been escalating annually, positioning it as the leading cause of chronic liver disease worldwide. Ursolic acid has demonstrated promising therapeutic efficacy in managing MASLD, thereby justifying the need for an in-depth exploration of its pharmacological mechanisms. This study aimed to investigate elucidate the therapeutic mechanisms by which ursolic acid modulates estrogen conversion in the treatment of MASLD.

Building upon prior studies that have highlighted the potent anti-inflammatory effects of ursolic acid and its specific targeting of 17β-hydroxysteroid dehydrogenase 14 (HSD17B14), this investigation employed a western diet to induce MASLD in murine models with varying severities over different time intervals.

The protein expression of HSD17B14 initially increased, followed by a subsequent decrease. This trend was accompanied by corresponding changes in 17β-estradiol (E2) and estrone (E1) levels. Intervention with ursolic acid resulted in a reduction in HSD17B14 and E1 levels during the phase of high HSD17B14 expression, while simultaneously elevating E2 levels. In steatotic hepatocytes, E1 promoted cellular inflammation, whereas E2 exhibited anti-inflammatory effects. However, the alleviated effects of E2 were antagonized by HSD17B14. As expected, ursolic acid modulated HSD17B14, thereby mitigating the inflammatory response in steatotic hepatocytes.

HSD17B14, a crucial enzyme regulating the balance between E1 and E2, catalyzes the conversion of estrogen E2 into E1, thereby exacerbating tissue inflammation induced by metabolic stress. Ursolic acid, by modulating HSD17B14-mediated estrogen conversion, appears to ameliorate immune-related inflammation in MASLD.

Since the adoption of novel prognostic scores, such as the iterative model for end-stage liver disease (MELD 3.0) and the gender-equity model for liver allocation (GEMA), their utility has markedly expanded to diverse clinical scenarios. However, data concerning their prognostic value in more generalized cirrhotic populations are scarce. In this study, we aimed to elucidate the MELD 3.0/GEMA-Na for long-term mortality risk stratification and refine their usage scope.

This study retrospectively reviewed 310 hospitalized patients with decompensated cirrhosis. Discrimination and stratification were compared between MELD 3.0/GEMA-Na and other scores. Validation was performed in another 120 subjects.

In the investigated cohort, the median MELD-Na, MELD 3.0, and GEMA-Na were 9 (7, 12), 12 (10, 17), and 12 (9, 17), respectively. Compared to their predecessors, both MELD 3.0 and GEMA-Na models exhibited consistently better discriminative ability, especially in relation to long-term mortality. This effect was more pronounced for GEMA-Na, which was the only score to present an area under the receiver operating characteristic curve greater than 0.8 up to two years (0.807). Statistical analysis indicated that a MELD 3.0 score of 18 and a GEMA-Na score of 20 were the most optimal cutoffs to rank the risk of death, both of which were independently associated with two-year all-cause transplant-free mortality (MELD 3.0: hazard ratio: 1.13, 95% confidence interval: 1.10, 1.17; GEMA-Na: hazard ratio: 1.12, 95% confidence interval: 1.10, 1.17, both P < 0.001). Similar findings were affirmed in the validation cohort.

MELD 3.0 is superior to other MELD-based scores for long-term prognostication in hospitalized patients with cirrhosis, while GEMA-Na demonstrated even better accuracy and performance.

In recent years, it has been found that Lycium barbarum can repair liver damage and promote liver regeneration. Additionally, the polysaccharides contained in Lycium barbarum have anticancer properties and can induce apoptosis in cancer cells. Molecular docking, a mature computer-aided method, is widely used in drug discovery. This study aimed to verify the efficacy of active ingredients of Lycium barbarum in the treatment of liver cancer by molecular docking.

The effect of the active ingredients of Lycium barbarum in the treatment of liver cancer was verified by molecular docking, based on a previous study that examined the impact of Lycium barbarum on liver cancer using network pharmacology.

The binding energies of the key active ingredients and core targets were all less than −5.0 kcal/mol (1 kcal = 4.184 J), with most of them being less than −7.0 kcal/mol. This indicates that the key active ingredients and core targets have good binding ability, with most demonstrating strong binding affinity.

Most of the active ingredients in wolfberry can spontaneously bind to the core target protein, thereby playing a therapeutic role in liver cancer.

Ischemic stroke is a complex cerebrovascular disorder characterized by highly unpredictable outcomes influenced by patient-specific variables, including age, stroke severity, and preventable stroke-related complications such as infections. Analyses of clinical data have indicated a cumulative post-stroke infection rate of approximately 30%, with reported rates ranging from 5% to 65%. Post-stroke infections pose a significant challenge, as they not only increase the financial burden of stroke care but are also associated with adverse clinical outcomes, prolonged hospital stays, and a higher risk of stroke recurrence. The inflammatory response plays a pivotal role in the pathophysiology of ischemic stroke, encompassing the activation of inflammatory cells, the release of inflammatory mediators, and the engagement of inflammatory signaling pathways. Recent advances in molecular biology have facilitated the identification and investigation of numerous inflammation-related biomarkers. This article reviews the roles and mechanisms of key inflammatory biomarkers, including cytokines, chemokines, adhesion molecules, inflammation-related enzymes and mediators, receptors, signaling pathway molecules, and acute-phase proteins in the context of ischemic stroke, highlighting their significance in stroke pathophysiology and prognostic assessment. Additionally, in conjunction with the latest research advances, the article discusses novel biomarkers such as microRNAs and galectin-3, which are emerging as important tools in multiple domains, including diagnosis and treatment. Drawing on clinical diagnostic and therapeutic practices, this review analyzes the diagnostic and therapeutic roles of both novel and traditional biomarkers in the progression of ischemic stroke, following the temporal sequence from disease onset to prognosis. Finally, the article addresses the limitations of current research and offers perspectives on future directions, providing insights that may contribute to the advancement of precision medicine in the management of ischemic stroke.