Spinal cord injury (SCI) significantly impacts the central nervous system, with limited effective treatments available. Brain-derived neurotrophic factor (BDNF) plays a crucial role in neuronal growth, survival, and regeneration after SCI. MicroRNAs, particularly miR-124-3p, have been implicated in SCI pathophysiology. However, the relationship between miR-124-3p and BDNF in the context of SCI remains unclear. This study aimed to investigate the correlation between miR-124-3p expression and BDNF levels in a rat model of spinal cord injury and to assess how the timing of injury affects this relationship.

This study included 72 male Wistar rats divided into three groups: intact (n = 8), sham (n = 32), and SCI (n = 32). SCI diagnosis was confirmed through behavioral-motor function analysis using the Basso, Beattie & Brenham score and histological examination with crystal violet staining. The expression levels of miR-124-3p and BDNF were assessed using real-time polymerase chain reaction in all groups at four time points (one hour, one day, three days, and seven days post-injury).

In the SCI group, a marked reduction in miR-124-3p expression was observed relative to both the sham and intact groups. Conversely, there was a substantial elevation in BDNF expression within the SCI group in comparison to the sham and intact groups. The findings underscore a negative association between miR-124-3p expression and BDNF messenger RNA levels.

The downregulation of miR-124-3p and concurrent upregulation of BDNF suggest a potential regulatory role of miR-124-3p in modulating BDNF expression during SCI. These findings provide new insights into the molecular mechanisms underlying SCI and suggest that miR-124-3p and BDNF could serve as potential therapeutic targets. Further research is needed to explore the translational potential of these findings for developing novel diagnostic and therapeutic strategies for SCI.

Colorectal cancer (CRC) is a type of cancer that originates in the colon or rectum from precancerous polyps, which can evolve into cancerous growths over time. This review aimed to provide a comprehensive analysis of CRC, its subtypes, clinical manifestations, point-of-care diagnostic approaches, and management strategies. The clinical presentation of CRC often includes symptoms such as blood in stool, changes in bowel habits, abdominal discomfort, weight loss, fatigue, a feeling of incomplete bowel emptying, and anemia. The identification of these signs prompts healthcare professionals to initiate diagnostic measures without delay. Point-of-care diagnosis plays a pivotal role in the early detection of CRC, employing screening tests such as stool tests and colonoscopies. These diagnostic modalities enable healthcare professionals to identify precancerous polyps or early-stage tumors, facilitating timely intervention and significantly improving treatment outcomes. Adherence to screening guidelines is crucial for the prevention and early detection of CRC. Despite advancements in screening and treatment options, there remains a crucial need for more specific, minimally invasive screening methods with minimal side effects. By improving current detection methods, a better screening approach for CRC can be developed. Recent advancements, including single-cell sequencing, spatial transcriptomics, and artificial intelligence integration, hold great promise for enhancing early diagnosis and advancing personalized treatment strategies. Moreover, a healthy lifestyle, including a balanced diet, regular exercise, no tobacco use, and limited alcohol consumption, can significantly lower the risk of CRC. By emphasizing the importance of lifestyle modifications, early screening, and timely intervention, healthcare professionals can significantly reduce the burden of CRC and improve patient outcomes.

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.

Despite advancements in diagnostic and therapeutic strategies, hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality. Antioxidant-1 (ATOX1) has been implicated in oncogenic processes across various cancer types; however, its specific role in HCC remains unclear. This study aimed to investigate the function of ATOX1 and its underlying molecular mechanisms in HCC.

Immunohistochemical analysis was conducted to assess ATOX1 expression in HCC tissues. Cell Counting Kit-8, colony formation, Transwell migration, flow cytometry, and reactive oxygen species (ROS) assays were employed to evaluate the malignant behaviors of tumor cells. A xenograft mouse model was employed to assess the effects of ATOX1 knockdown on tumor growth in vivo. DCAC50 treatment was performed to inhibit the copper transport function of ATOX1. RNA sequencing was conducted to explore the potential molecular mechanisms of ATOX1 in HCC.

ATOX1 expression was significantly elevated in HCC tumor tissues. ATOX1 promoted cell proliferation, colony formation, and migration. Knockdown of ATOX1 suppressed tumor growth in vivo. Mechanistically, ATOX1 activated c-Myb, and thus enhanced the malignant phenotype of HCC cells via activation of the PI3K/AKT signaling pathway. Additionally, ATOX1 reduced intracellular copper accumulation and inhibited ROS production and apoptosis. Inhibition of ATOX1 by DCAC50 decreased cell proliferation while increasing ROS levels and apoptosis in HCC cells. Notably, acetylcysteine reversed the reduction in c-Myb expression induced by ATOX1 knockdown.

ATOX1 may promote HCC carcinogenesis through the activation of the c-Myb/PI3K/AKT pathway and the inhibition of copper accumulation and oxidative stress.

Chronic liver disease (CLD) is a major global health challenge, characterized by chronic inflammation that can progress to liver fibrosis, cirrhosis, and ultimately hepatocellular carcinoma. Early identification of biomarkers is crucial for effective intervention. Traditional Chinese medicine (TCM) has shown potential in improving CLD symptoms and protecting the liver, although its mechanisms remain unclear. Metabolomics, the comprehensive study of metabolites, offers a promising approach to understanding CLD pathogenesis and identifying biomarkers. Notably, metabolomics aligns with TCM’s holistic approach and may help reveal its therapeutic mechanisms. This review summarizes key metabolites associated with CLD diagnosis and progression and discusses how TCM may modulate metabolic pathways to alleviate CLD symptoms. These insights could lead to improved diagnostic and therapeutic strategies for CLD.

Epidemiological data on bacterial infections in cirrhosis in China remain limited. Therefore, we aimed to conduct a multicenter study to investigate the characteristics and outcomes of patients with cirrhosis and bacterial infections in China.

We retrospectively enrolled 1,438 hospitalized adult patients with cirrhosis and bacterial or fungal infections from 24 hospitals across China between January 2018 and September 2024. Data on demographics, clinical features, microbiology, treatment, and outcomes were collected.

A total of 1,783 infection episodes were recorded, including 1,668 first infections and 115 second infections. Most infections were community-acquired (86.6%). Pneumonia was the most common infection type (26.7%), followed by spontaneous bacterial peritonitis (19.5%) and spontaneous bacteremia (14.1%). Among 754 pathogens isolated from 620 patients, Klebsiella pneumoniae (20.1%) was nearly as common as Escherichia coli (21.7%). Multidrug-resistant (MDR) organisms accounted for 41.0% of all isolates, with extended-spectrum β-lactamase-producing Escherichia coli being the most prevalent MDR strain (8.9% of patients). Adherence to empirical antibiotic treatment guidelines from the European Association for the Study of the Liver was significantly lower in this cohort compared to the global study (21.5% vs. 61.2%, P < 0.001), accompanied by a lower clinical resolution rate (63.5% vs. 79.8%, P < 0.001).

The clinical and microbiological characteristics of bacterial infections in patients with cirrhosis in China differ substantially from those reported in other regions. These findings highlight the need for region-specific management and prevention strategies, particularly in light of the changing microbiological landscape, high MDR prevalence, and suboptimal antibiotic practices.

Human papillomavirus (HPV) infection is the primary cause of cervical, anogenital, and oropharyngeal cancers in the United States. These cancers are preventable through HPV vaccination. Research is critically needed to identify effective strategies for promoting HPV vaccination among high-risk groups. This study develops a risk prediction model to identify patients who are unlikely to complete HPV vaccination, with the goal of using the model to direct resources and increase vaccination rates.

We assessed vaccination status along with patient, provider, and clinic characteristics that predict vaccination completion. We then developed a predictive model to assess the likelihood of completing HPV vaccination, which can be used to target interventions based on patient needs. We used a retrospective cohort from a large integrated delivery system in Oregon. Using logistic regression with data available in the electronic health record, we created a risk model to determine the likelihood of vaccination completion among patients aged 11–17 years.

In a cohort of 61,788 patients, 40,570 (65.7%) had received at least one dose of the HPV vaccine. The full model included 17 demographic, clinical, provider, and community characteristics, achieving a bootstrap-corrected C-statistic of 0.67 with adequate calibration. The reduced model, which retained five demographic and clinical characteristics (age, language, race, ethnicity, and prior vaccinations), had a bootstrap-corrected C-statistic of 0.65 and adequate calibration.

Our findings suggest that a risk prediction model can guide the implementation of targeted interventions and the intensity of those interventions based on the likelihood of vaccination completion.

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.

Prostate cancer is the second most diagnosed cancer in men worldwide and a significant cause of cancer-related death. Proteogenomic analysis offers insights into how genomic mutations influence protein expression and can identify novel biomarkers. This study aimed to investigate the impact of missense mutations on protein abundance in prostate cancer versus healthy tissues using SILAC-based quantitative proteomics.

Mass spectrometry data from prostate tumors and adjacent healthy tissues were analyzed using stable isotope labeling. Peptides were classified based on their abundance into RefSeq and Variant Abundant groups. Missense mutations were mapped via RefSeq and dbPepVar databases. Protein intensity metrics were compared, and Spearman’s correlation was used to evaluate the relationship between mutation presence and protein abundance.

Functional enrichment revealed that RefSeq Abundant proteins are involved in normal metabolic and structural functions, while Variant Abundant proteins are enriched in tumor-related pathways such as immune evasion and apoptosis suppression. A significant negative correlation was found between protein intensity difference and ratio (p < 0.05), indicating that missense mutations contribute to altered protein expression. Mutation hotspot analysis identified recurrent alterations in genes such as PPIF and ACTB. PROVEAN was used to evaluate the functional impact of variants, identifying several as deleterious to protein stability and function.

Missense mutations are associated with altered protein abundance and may promote oncogenic processes in prostate cancer. These findings enhance the understanding of genome-proteome interactions and could support the development of targeted biomarkers and therapies.