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.

Acute coronary syndrome (ACS) in patients with SARS-CoV-2 infection is primarily driven by inflammation-induced myocardial injury through both direct and indirect mechanisms. Effective clinical management requires a dual approach: addressing cardiovascular lesions while also mitigating virus-induced local and systemic inflammation. This comprehensive approach is essential for improving the diagnosis and treatment of SARS-CoV-2-associated ACS. Emerging evidence highlights the potential of myocardial protective agents, including angiotensin-converting enzyme 2-modulating drugs and traditional Chinese medicine, which not only stabilize plaques and improve endothelial function but also confer cardioprotective effects. Furthermore, advancements in nanotechnology offer promising strategies for targeted therapy—particularly through angiotensin-converting enzyme 2 receptor modulation—by enhancing the precision and efficacy of herbal medicine delivery. This review explores the complex interplay between SARS-CoV-2 infection and ACS pathogenesis, and evaluates the therapeutic potential of pharmacological, herbal, and nanotechnology-based interventions in managing this multifaceted condition.

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.

Given the high burden of hepatocellular carcinoma (HCC), risk stratification in patients with cirrhosis is critical but remains inadequate. In this study, we aimed to develop and validate an HCC prediction model by integrating radiomics and deep learning features from liver and spleen computed tomography (CT) images into the established age-male-ALBI-platelet (aMAP) clinical model.

Patients were enrolled between 2018 and 2023 from a Chinese multicenter, prospective, observational cirrhosis cohort, all of whom underwent 3-phase contrast-enhanced abdominal CT scans at enrollment. The aMAP clinical score was calculated, and radiomic (PyRadiomics) and deep learning (ResNet-18) features were extracted from liver and spleen regions of interest. Feature selection was performed using the least absolute shrinkage and selection operator.

Among 2,411 patients (median follow-up: 42.7 months [IQR: 32.9–54.1]), 118 developed HCC (three-year cumulative incidence: 3.59%). Chronic hepatitis B virus infection was the main etiology, accounting for 91.5% of cases. The aMAP-CT model, which incorporates CT signatures, significantly outperformed existing models (area under the receiver-operating characteristic curve: 0.809–0.869 in three cohorts). It stratified patients into high-risk (three-year HCC incidence: 26.3%) and low-risk (1.7%) groups. Stepwise application (aMAP → aMAP-CT) further refined stratification (three-year incidences: 1.8% [93.0% of the cohort] vs. 27.2% [7.0%]).

The aMAP-CT model improves HCC risk prediction by integrating CT-based liver and spleen signatures, enabling precise identification of high-risk cirrhosis patients. This approach personalizes surveillance strategies, potentially facilitating earlier detection and improved outcomes.

The advent of nanoparticle technology has transformed oncology therapeutics through its capacity for accurate drug delivery and regulated pharmaceutical release, boosting treatment effectiveness while minimizing adverse reactions. Various nanostructures, including polymeric carriers, liposomal formulations, and metal-based nanoparticles, can be engineered with tumor-specific targeting molecules to facilitate cellular uptake in malignant cells. Despite these advancements, issues such as production scalability, potential chronic toxicity, and regulatory approval processes still need to be addressed. Viral nanoparticles and virus-like particles (VLPs) represent innovative tools in nanotechnology and biomedicine, offering exceptional potential for targeted therapies, immune modulation, and diagnostic applications. Their natural biocompatibility, precise structural organization, and capacity for surface modification make them highly suitable for developing strategies to treat malignant tumors. Alongside VLP development, other approaches have also been investigated, such as magnetic hyperthermia, where magnetic nanoparticles are used to generate localized heat under an external magnetic field, selectively destroying cancer cells while sparing healthy tissue. This paper presents a brief review of nanocarriers in drug delivery systems and discusses the integration of nanoparticles, viral nanoparticles, and VLPs. Additionally, we explore the challenges and propose cutting-edge solutions, offering a forward-looking perspective on how the combination of these advanced technologies could transform oncology.

Ischemic colitis has been previously associated with the use of certain medications; however, no cases have been reported in connection with zolmitriptan. This study aimed to describe a case of ischemic colitis associated with zolmitriptan use. A 56-year-old female patient taking zolmitriptan presented to the hospital with complaints of abdominal pain, bloody diarrhea, and emesis. Colonoscopy and abdominal imaging with computed tomography revealed findings consistent with ischemic colitis. After recognizing the association between ischemic colitis and zolmitriptan use, the medication was discontinued, and the patient recovered with supportive therapy. This is the first reported case of ischemic colitis associated with zolmitriptan.

Therapy-related B-lymphoblastic leukemia (B-ALL) following treatment for multiple myeloma is a rare occurrence. Despite its rarity and the lack of recognition by the World Health Organization as a distinct disease entity, previous publications indicate its possible emergence following myeloma treatment.

The patient is a 65-year-old gentleman with a history of IgG kappa multiple myeloma, status post multiple lines of therapy. The patient presented with a fever, and a complete blood count showed cytopenia. Bone marrow morphologic evaluation revealed numerous blasts. Immunophenotypic analysis demonstrated that these blasts were B lymphoblasts, despite MYC and unusual surface kappa light chain expression. A diagnosis of B-ALL with surface kappa light chain expression post-myeloma treatment was made. Ancillary studies indicated that the B-ALL and the previous myeloma were clonally unrelated. Next-generation gene sequencing revealed pathogenic mutations in KDM6A and KRAS.

This case highlights the potential for therapy-related B-ALL following myeloma treatment, a phenomenon deserving further investigation. The expression of surface light chain in blasts can present a diagnostic pitfall.

Epileptogenesis involves complex mechanisms, including inflammation and apoptosis. Rosiglitazone, a peroxisome proliferator-activated receptor gamma agonist, possesses anti-inflammatory and neuroprotective properties. This study investigated whether rosiglitazone can prevent pentylenetetrazole (PTZ)-induced kindling in mice by modulating inflammatory cytokines and apoptosis pathways.

Male C57BL/6 mice (n = 8 per group) were assigned to sham, control, or rosiglitazone-treated groups. Kindling was induced with intraperitoneal PTZ (40 mg/kg) every 48 h for 17 days. Rosiglitazone (0.1 mg/kg) was administered 30 m before each PTZ injection. Seizure progression was monitored, and hippocampal tissues were analyzed via immunohistochemistry and Western blotting to assess cytokine levels (interleukin (IL)-10, IL-17A, tumor necrosis factor-alpha, interferon-gamma), caspase-3 activity, and glial fibrillary acidic protein expression.

Rosiglitazone significantly delayed seizure progression, reduced seizure scores, and lowered pro-inflammatory cytokine levels (IL-17A, tumor necrosis factor-alpha, interferon-gamma) while increasing IL-10. Immunohistochemical analysis revealed fewer caspase-3-positive cells and reduced glial fibrillary acidic protein expression in the treatment group compared to controls.

Rosiglitazone exerts neuroprotective effects in PTZ-induced kindling, likely through its anti-inflammatory and anti-apoptotic actions. These findings underscore its potential as a therapeutic agent for mitigating epileptogenesis, warranting further investigation in combination therapies and clinical trials.

Multimodal applications combining electroencephalogram (EEG) and functional near-infrared spectroscopy (fNIRS) are widely used in cognitive neuroscience and have progressively been applied to clinical applications, such as the joint diagnosis of amyotrophic lateral sclerosis, Alzheimer’s disease, and pediatric epilepsy. This study conducted a bibliometric analysis of EEG-fNIRS synchronization techniques over the past 20 years. The aim was to clarify their diagnostic and therapeutic value in clinical applications, particularly in the neurological system, and to guide future research and development trends.

This study utilized the Web of Science Core Collection database to analyze documents published between January 1, 2005, and May 13, 2024. CiteSpace and VOSviewer were employed for visual analyses of co-author relationships, keywords, citation patterns, and journal distributions. By overlaying dual-map diagrams and analyzing annual publication trends, the study identified research hotspots, development trends, and the evolution of EEG-fNIRS technology.

A total of 645 articles and reviews from 55 countries were analyzed. The USA contributed the most publications. The team led by Michela Balconi at the Catholic University of the Sacred Heart published the highest number of papers. Frontiers in Human Neuroscience had the greatest number of publications, while NeuroImage had the highest citation impact. Recent research has primarily focused on the application of neuroimaging and neurophysiological techniques (e.g., EEG, fNIRS, functional magnetic resonance imaging), brain activation, and brain-computer interface.

This study highlights the applications and developmental trends of dual-modality EEG-fNIRS technology. Specifically, this approach can assist in diagnosing neurological disorders, assessing activation and connectivity within functional brain regions, and evaluating therapeutic neuromodulation in clinical neurology. Overall, multimodal fusion is poised to advance neuroscience research significantly.

Patients with cirrhosis are at an increased risk of bacterial infection (BI), which is the most common precondition for acute-on-chronic liver failure (ACLF). In this study, we aimed to evaluate the ability of mitochondria-related indicators (mitochondrial mass and mitochondrial membrane potential (MMP)) of T cells in peripheral blood to predict BI and ACLF within 90 days in cirrhotic patients.

We prospectively studied mitochondria-related indicators in various T cells from 235 cirrhotic patients at the Second Hospital of Nanjing. The outcomes of interest were BI and ACLF.

The restricted cubic spline analysis showed that the MMP of CD8+ T cells had a linear relationship with the risk of BI and ACLF (both P < 0.001). Multivariable Cox regression analysis demonstrated that the MMP of CD8+ T cells was an independent risk factor for both BI and ACLF (BI: hazard ratio 0.96, 95% confidence interval 0.94–0.98; P < 0.001; ACLF: hazard ratio 0.94, 95% confidence interval 0.90–0.97; P < 0.001). The MMP of CD8+ T cells exhibited better diagnostic efficacy than traditional indices in predicting BI (C index: 0.75). The MMP of CD8+ T cells, when combined with traditional models (Child-Turcotte-Pugh and model for end-stage liver disease score), improved their diagnostic efficiency in predicting both BI and ACLF. Additionally, the MMP of CD8+ T cells showed a significant negative correlation with inflammation-related markers (P < 0.05). Mitochondrial damage and abnormally activated mitochondrial autophagy were observed in CD8+ T cells from cirrhotic patients with low MMP.

The MMP of CD8+ T cells could serve as a valuable predictor of BI and ACLF within 90 days in cirrhotic patients.