Glioblastoma (GBM) is the most prevalent and aggressive form of primary brain malignancy in adults. Despite continuous advancements in standard treatment modalities, the prognosis for patients remains extremely poor, with a median survival of less than two years. In recent years, chimeric antigen receptor T-cell (CAR-T) therapy has achieved revolutionary success in hematologic malignancies, marking a significant breakthrough in the field of immunotherapy. However, the successful application of CAR-T therapy to GBM still faces dual challenges: antigen heterogeneity and the immunosuppressive tumor microenvironment. This review systematically summarizes these challenges encountered in CAR-T therapy for GBM and the innovative strategies currently under development to address these challenges, providing insights for the future clinical translation of CAR-T therapy in GBM.

While metabolic dysfunction-associated steatotic liver disease (MASLD) is associated with obesity, the cause of its rapidly rising prevalence is not well understood. In this study, we aimed to examine the association between arsenic exposure and MASLD in humans.

Urinary inorganic arsenic data from the National Health and Nutrition Examination Survey, 2011–2020, were used. These were combined with death certificate data from the National Death Index of the National Center for Health Statistics to ascertain mortality rates. Weighted linear regression and chi-squared analysis were performed.

The analysis included 6,386 participants after exclusions. The mean urinary arsenic level was 5.92 µg/L in participants with MASLD versus 5.59 µg/L in those without. Alanine aminotransferase levels exhibited a statistically significant increasing trend across both continuous arsenic levels and arsenic quintiles. A statistically significant upward trend was observed for the income-to-poverty ratio and body mass index but not for education status. MASLD prevalence was highest among the white population, while an increasing trend was observed in the Hispanic population over the years (p < 0.001). The proportion of Mexican Americans increased to 12.6% in the MASLD group versus 8.09% in the non-MASLD cohort (p < 0.001). There was a statistically significant increase in the odds of MASLD across arsenic exposure levels, with individuals in the highest quintile having a 32% greater likelihood compared to those in the lowest quintile (p-trend = 0.002). The odds further increased to 55% in the highest quintile (odds ratio 1.55, 95% confidence interval: 1.19–2.03; p-trend < 0.001). MASLD was more prevalent in females than males (57.9% vs. 47.6%; p < 0.001), and the mean age increased from 46.9 years to 49.9 years (p = 0.016).

Our findings reveal a positive association between urinary arsenic exposure and MASLD, with increasing trends particularly observed among Hispanics and those with higher income-to-poverty ratios and body mass index.

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.

Immunoinflammatory skin diseases are characterized by an imbalance in immune homeostasis, and their chronic inflammatory processes involve a complex regulatory network of CD4+ T cell differentiation. With the widespread use of biologics (e.g., interleukin-17/interleukin-23 inhibitors) in psoriasis, atopic dermatitis, and other diseases, the adverse effects triggered by the phenomenon of CD4+ T cell-mediated immune drift have attracted significant attention, with the skin being the primary target as an immune organ. In this paper, we provide a review of the clinical features of the skin and the mechanisms of immune drift caused by different types of biologics, as well as the therapeutic modalities.

Huo Xue Tong Luo Capsule (HXTL) has been clinically used to treat osteonecrosis of the femoral head, osteoporosis, and other bone and joint diseases with promising effects. Our previous study has shown that HXTL can promote osteogenesis in mesenchymal stem cells by inhibiting lncRNA-Miat expression through histone modifications. However, the mechanism by which HXTL treats postmenopausal osteoporosis (PMOP) remains unclear. In this study, we used network pharmacology-based mechanism prediction, molecular docking, and pharmacological validation to investigate the mechanism of HXTL in treating PMOP.

The key candidate targets and relevant signaling pathways of HXTL for PMOP treatment were predicted using network pharmacology and molecular docking analysis. RAW264.7 cells were used for Western blot to validate the predicted mechanistic pathways. The ovaries of mice were surgically removed to simulate PMOP. The effect of HXTL on PMOP was evaluated using tartrate-resistant acid phosphatase staining and immunohistochemical assays in vivo.

Network pharmacology analysis suggested that HXTL interacted with 215 key targets linked to PMOP, primarily affecting the PI3K-AKT signaling pathway. Molecular docking showed that the main components of HXTL exhibited strong binding affinity to NFATc1, p-PI3K, and p-AKT1. Furthermore, our in vitro results confirmed that HXTL suppressed the PI3K-AKT signaling pathway. In vivo, HE and tartrate-resistant acid phosphatase staining results showed that HXTL inhibited osteoclast formation and protected bone mass.

This research demonstrated that HXTL could inhibit osteoclast formation and prevent bone loss induced by ovariectomy in mice by inhibiting the PI3K-AKT signaling pathway. These findings provide important evidence for the clinical application of HXTL in treating PMOP.

General transcription factor IIIC subunit 2 (GTF3C2) is one of the polymerase III transcription-related factors. Previous studies have revealed that GTF3C2 is involved in regulating cell proliferation. However, the role of GTF3C2 in hepatocellular carcinoma (HCC) remains unclear. This study aimed to determine its expression, biological function, and mechanism in HCC.

The expression of GTF3C2 in HCC and non-tumor tissues, along with its clinical significance, was investigated using public databases and clinical samples. Reverse transcription-quantitative polymerase chain reaction and Western blot assays were performed to detect the expression of GTF3C2, ubiquitin specific peptidase 21 (USP21), mitogen-activated protein kinase 2 (MEK2), extracellular signal-regulated kinase 1/2 (ERK1/2), and p-ERK1/2 in cells. A luciferase reporter assay was conducted to explore the regulatory effect of GTF3C2 on USP21 transcription. Cell Counting Kit-8, 5-ethynyl-2′-deoxyuridine, and colony formation assays were performed to assess HCC cell proliferation. Subcutaneous injection of HCC cells into nude mice was used to evaluate tumor growth in vivo.

GTF3C2 expression was upregulated in HCC tissues and was positively correlated with advanced tumor stages and high tumor grades. HCC patients with high GTF3C2 expression had significantly worse survival outcomes. Knockdown of GTF3C2 suppressed the proliferation of Hep3B and HCCLM3 cells, while overexpression of GTF3C2 facilitated the proliferation of SNU449 and Huh7 cells. GTF3C2 promoted USP21 expression by activating its transcription, which subsequently increased the levels of MEK2 and p-ERK1/2 in HCC cells. Overexpression of both USP21 and MEK2 counteracted the GTF3C2 knockdown-induced inactivation of the ERK1/2 pathway. Moreover, GTF3C2 promoted HCC cell proliferation in vitro and tumor growth in vivo by regulating the USP21/MEK2/ERK1/2 pathway.

Upregulation of GTF3C2 is frequently observed in HCC tissues and predicts poor prognosis. GTF3C2 promotes HCC cell proliferation via the USP21/MEK2/ERK1/2 pathway.

Drug-induced liver injury (DILI) represents a prevalent adverse event associated with medication use. However, the exact mechanisms underlying DILI remain incompletely understood, and the lack of specific diagnostic and prognostic biomarkers poses significant challenges to the clinical diagnosis and treatment of this condition. Consequently, our study aimed to endeavor to identify serum and fecal metabolic biomarkers, enabling more accurate DILI diagnosis and improved prediction of chronic progression.

Untargeted metabolomics analysis was performed on serum and fecal samples obtained from a cohort of 32 DILI patients (causality confirmed via the updated Roussel Uclaf Causality Assessment Method) and 36 healthy controls. Utilizing techniques such as partial least squares-discriminant analysis modeling and t-tests, we identified significantly differentially expressed metabolites and metabolite sets. Causality assessment was performed using the updated Roussel Uclaf Causality Assessment Method.

The findings from the analysis of serum and fecal metabolomics association pathways suggested that perturbations in bile acid metabolism might serve as potential mechanisms underlying the progression of DILI. Our study revealed 22 overlapping differential metabolites between serum and feces, displaying significant concentration differences between the DILI and healthy control groups. Notably, we identified chenodeoxycholic acid and deoxycholic acid as promising markers that not only distinguished DILI patients from healthy individuals but also exhibited predictive potential for DILI chronicity.

The integrated analysis of serum and fecal metabolites uncovers the significant disruption of bile acid metabolites as a key contributing factor in the pathogenesis of DILI. Our study offers promising potential biomarkers for the diagnosis and prognosis of DILI, paving the way for a novel perspective in the realm of DILI diagnosis and treatment.