Autophagy is a conserved catabolic process that degrades proteins and damaged organelles to maintain cellular homeostasis, and its role in cancer depends on stage and context. Farnesyl-diphosphate farnesyltransferase 1 (FDFT1) is an essential enzyme in the sterol branch of the mevalonate pathway, but its functions in hepatocellular carcinoma (HCC) and in the regulation of autophagy remain poorly understood. In this study, we show that FDFT1 acts as a negative regulator of autophagy in HCC cells. Loss of FDFT1 led to increased autophagosome formation and fusion with lysosomes, whereas its overexpression suppressed both basal and induced autophagy. These changes were associated with AMPK–ULK1 signaling, suggesting that FDFT1 influences a central pathway controlling autophagy. Our findings connect cholesterol metabolism with autophagy regulation and tumor growth, highlighting FDFT1 as a potential prognostic marker and therapeutic target in liver cancer.

Background: Hepatocellular carcinoma (HCC) remains a leading cause of cancer-related mortality worldwide, largely because of challenges in early diagnosis and the limited sensitivity of conventional biomarkers. Therefore, reliable molecular tools for early detection, prognostic stratification, and individualized treatment predictions are urgently required. Methods: This retrospective study analyzed publicly available gene expression datasets. Candidate biomarkers were identified from the GSE14520 cohort using a multistep screening workflow that integrated differential expression analysis, diagnostic performance, and prognostic relevance. A 10-gene diagnostic model was constructed using least absolute shrinkage and selection operator logistic regression and subsequently validated across multiple independent cohorts. Survival outcomes were evaluated using the Kaplan-Meier analysis and treatment responses to sorafenib and transarterial chemoembolization (TACE) were assessed using receiver operating characteristic analysis. Results: A 10-gene signature (TOP2A, CDK1, CYP3A4, MASP2, EPHX2, HAO1, RACGAP1, GLYAT, ADH1B, and CYP4A11) was established. The model demonstrated robust internal performance and consistent accuracy across external validation cohorts (area under the curve [AUC], >0.9). This signature effectively identified early-stage HCC and distinguished malignancy from cirrhosis. High-risk scores were significantly associated with poor overall survival and recurrence-free survival (p<0.05). Furthermore, the model could predict treatment sensitivity, with higher risk scores associated with better outcomes for sorafenib (AUC, 0.791), whereas lower risk scores correlated with an improved response to TACE (AUC, 0.768). Conclusion Our gene expression-based machine learning model provides a robust tool for HCC diagnosis, prognosis, and treatment response prediction, with potential as a supportive system for personalized clinical decision-making.

Objectives: The rapid and widespread development of social networking sites has created a potential venue for an increase in cyberbullying among adolescents. While much research has been done on middle school/high school students, this issue for college/university students has yet to receive much attention. The present study described the prevalence of cyberbullying and associated factors among Hanoi Medical University students. Methods: Data were obtained from an online survey of conveniently selected Hanoi Medical University students. A total of 736 students participated and finished a structured questionnaire based on the Cyberbullying Victimization Scale (CVS). Results: The prevalence of cyberbullying victims among Hanoi Medical University students was 17.4%, and 9.0% of the students had engaged in cyberbullying behaviors. Research also indicated that there is an association between cyberbullying behavior and factors such as internet usage duration and frequency of monitoring violent information. Gender didn't have any relationship with cyberbullying victimization but had a significant association with cyberbullying perpetration (OR = 2.37, 95%CI = 1.42 – 3.96). Conclusion: Cyberbullying has become an important phenomenon related to internet usage duration and violent information among students of Hanoi Medical University. Therefore, it is necessary to build healthy internet habits and manage online information to reduce cyberbullying prevalence and promote student health in the digital age.

Purpose: Simple virilizing congenital adrenal hyperplasia (SV-CAH) due to 21-hydroxylase deficiency (21-OHD) is an autosomal recessive disease caused by pathogenic variants of the CYP21A2 gene. Children with SV-CAH often experience delayed diagnosis, presenting with pseudo-precocious puberty in males and genital virilization in females. Genotyping is essential for diagnosis, treatment, optimization, and phenotype prediction. This study describes the clinical and genetic characteristics of SV-CAH to guide treatment strategies. Methods: From November 2016 to March 2023, 79 children (accounting for 34.3% of 230 CAH cases in the overall children’s cohort) from 75 families were classified as SV-CAH due to 21-OHD at the Vietnam National Children's Hospital. Forty-three children underwent CYP21A2 mutation analysis using multiplex ligation-dependent probe amplification and complete gene sequencing to detect pathogenic variants. Results: Median age at diagnosis was 4.5 years (interquartile range, 1 day–22.3 years). There were 38.0% males and 62.0% females. The most common symptoms were penile enlargement in males (53.3%) and clitoromegaly (87.8%) in females; the height standard deviation (SD) at diagnosis was 1.90±1.79 SD (-2.02 to 5.43) according to the World Health Organization; and bone age advancement was 4.65±2.59 years. Genetic analysis identified 21 pathogenic variants and 22 genotypes in 43 children. The most common variant was p.I173N (47.7%); the most common genotype was p.I173N/p.I173N (16.3%). Conclusion Children with SV-CAH are often diagnosed late. To avoid that, early genetic analysis should be prioritized, especially for children diagnosed through newborn screening programs. Determining the genotype is crucial for optimizing treatment strategies, ensuring personalized management, and avoiding overtreatment.

Streptocaulon juventas, a medicinal plant traditionally used in Vietnam and other Southeast Asian countries, has been previously investigated for certain biological activities of its roots; however, studies on its leaves remain limited. In this study, leaf extracts were evaluated for their in vitro anti-proliferative activity against B16F10 (murine melanoma) and HepG2 (human hepatocellular carcinoma) cell lines, as well as for their αglucosidase inhibitory potential. MTT assays revealed that the hexane (Sj-Hx) and dichloromethane (Sj-DCM) fractions exhibited the strongest cytotoxic effects on B16F10 cells, with IC₅₀ values of 36.09 µg/mL and 45.91 µg/mL, respectively. The hexane fraction (Sj-Hx) also demonstrated potent activity against HepG2 cells, with an IC50 value of 36.65 µg/mL. Notably, none of the extracts exhibited cytotoxicity toward Hs68 normal human fibroblasts, indicating favorable selectivity. DAPI staining further confirmed that both Sj-Hx and Sj-DCM induced nuclear fragmentation and chromatin condensation, consistent with apoptosis induction. Additionally, in vitro assays of anti-diabetic activity revealed that the hexane (Sj-Hx) and ethyl acetate (Sj-EA) extracts displayed the strongest α-glucosidase inhibition, with IC₅₀ values of 221.59 µg/mL and 265.73 µg/mL, respectively. Collectively, these findings suggest that S. juventas leaf extracts possess selective pro-apoptotic activity against cancer cells and represent a promising natural source for the discovery of anti-diabetic agents.

Objective: In Viet Nam, tuberculosis (TB) prevalence surveys revealed that approximately 98% of individuals with pulmonary TB have TB-presumptive abnormalities on chest radiographs, while 32% have no TB symptoms. This prompted the adoption of the “Double X” strategy, which combines chest radiographs and computer-aided detection with GeneXpert testing to screen for and diagnose TB among vulnerable populations. The aim of this study was to describe demographic, clinical and radiographic characteristics of symptomatic and asymptomatic Double X participants and to assess multilabel radiographic abnormalities on chest radiographs, interpreted by computer-aided detection software, as a possible tool for detecting TB-presumptive abnormalities, particularly for subclinical TB. Methods: Double X participants with TB-presumptive chest radiographs and/or TB symptoms and known risks were referred for confirmatory GeneXpert testing. The demographic and clinical characteristics of all Double X participants and the subset with confirmed TB were summarized. Univariate and multivariable logistic regression modelling was used to evaluate associations between participant characteristics and subclinical TB and between computer-aided detection multilabel radiographic abnormalities and TB. Results: From 2020 to 2022, 96 631 participants received chest radiographs, with 67 881 (70.2%) reporting no TB symptoms. Among 1144 individuals with Xpert-confirmed TB, 51.0% were subclinical. Subclinical TB prevalence was higher in older age groups, non-smokers, those previously treated for TB and the northern region. Among 11 computer-aided detection multilabel radiographic abnormalities, fibrosis was associated with higher odds of subclinical TB. Discussion: In Viet Nam, Double X community case finding detected pulmonary TB, including subclinical TB. Computer-aided detection software may have the potential to identify subclinical TB on chest radiographs by classifying multilabel radiographic abnormalities, but further research is needed.

Objective: To investigate the cause of a foodborne outbreak that occurred in Dong Nai province, Viet Nam, in 2024, and implement control measures. Methods: An initial investigation was conducted to confirm the outbreak, which was followed by epidemiological and environmental investigations to find the plausible causative food item. Clinical specimens and food samples were tested to identify the pathogen. Results: A total of 547 symptomatic cases were recorded, of whom two were in severe condition requiring extracorporeal membrane oxygenation and ventilation, one of whom died. Among 99 interviewed cases, the mean incubation time was 9 hours (range 2–24 hours), with the main symptoms being fever, abdominal pain, diarrhoea and vomiting. All patients had eaten banh mi from a local bakery. Salmonella spp. were identified in food samples and clinical specimens. The bakery halted production, and the outbreak ended after 1 week. Discussion: All the patients were exposed to only one food in common, which facilitated the investigation process. This outbreak is a reminder to small retailers and take-away shops of the importance of food safety management in preventing similar future outbreaks. All food handlers must comply with food hygiene principles, especially in hot temperatures, which boosts bacterial growth.

Background: The identification of idiopathic inflammatory myopathies (IIMs) requires a comprehensive analysis involving clinical manifestations and histological findings. This study aims to provide insights into the histopathological and immunohistochemical aspects of IIMs. Methods: This retrospective case series involved 56 patients diagnosed with IIMs at the Department of Pathology, University of Medicine and Pharmacy at Ho Chi Minh City, from 2019 to 2023. The histology and immunohistochemical expression of HLA-ABC, HLA-DR, C5b-9, Mx1/2/3, and p62 were detected. Results: We examined six categories of inflammatory myopathy, including immunemediated necrotizing myopathy (58.9%), dermatomyositis (DM; 23.2%), overlap myositis (8.9%), antisynthetase syndrome (5.4%), inclusion body myositis (IBM; 1.8%), and polymyositis (1.8%). The average age of the patients was 49.7 ± 16.1 years, with a female-to-male ratio of 3:1. Inflammatory cell infiltration in the endomysium was present in 62.5% of cases, perifascicular atrophy was found in 17.8%, and fiber necrosis was observed in 42 cases (75.0%). Rimmed vacuoles were present in 100% of cases in the IBM group. Immunohistochemistry showed the following positivity rates: HLA-ABC (89.2%), HLA-DR (19.6%), C5b-9 (57.1%), and Mx1/2/3 (10.7%). Mx1/2/3 expression was high in DM cases. p62 vacuole deposits were noted in the IBM case. The combination of membrane attack complex and major histocompatibility complex I helped detect IIMs in 96% of cases. Conclusions The diagnosis of IIMs and their subtypes should be based on clinical features and histopathological characteristics. Immunohistochemistry plays a crucial role in the diagnosis and differentiation of these subgroups.

Background: Avian influenza (AI) is a contagious disease that causes illness and death in poultry and humans. High pathogenicity AI (HPAI) H5N6 outbreaks commonly occur in Quang Ninh province bordering China. In June 2021, the first HPAI H5N8 outbreak occurred at a Quang Ninh chicken farm. Objectives: This study examined the risk factors associated with HPAI H5N6 and H5N8 outbreaks in Quang Ninh. Methods: A retrospective case-control study was conducted in Quang Ninh from Nov 2021 to Jan 2022. The cases were households with susceptible poultry with two or more clinical signs and tested positive by real-time reverse transcription polymerase chain reaction. The controls were households in the same village as the cases but did not show clinical symptoms of the disease. Logistic regression models were constructed to assess the risk factors associated with HPAI outbreaks at the household level. Results: There were 38 cases with H5N6 clade 2.3.4.4h viruses (n = 35) and H5N8 clade 2.3.4.4b viruses (n = 3). Compared to the 112 controls, raising poultry in uncovered or partially covered ponds (odds ratio [OR], 7.52; 95% confidence interval [CI], 1.44–39.27), poultry traders visiting the farm (OR, 8.66; 95% CI, 2.7–27.69), farms with 50–2,000 birds (OR, 3.00; 95% CI, 1.06–8-51), and farms with ≥ 2,000 birds (OR, 11.35; 95% CI, 3.07–41.94) were significantly associated with HPAI outbreaks. Conclusions Combining biosecurity measures, such as restricting visitor entry and vaccination in farms with more than 50 birds, can enhance the control and prevention of HPAI in Quang Ninh and its spread across borders.

Artichoke (Cynara scolymus L.) is a perennial plant belonging to the Asteraceae family originating from the Mediterranean region. In Vietnam, there are some varieties of artichoke which are extensively cultivated and propagated in highland areas, however, there have been limited detailed scientific publications on the chemical composition and biological activity of artichoke grown in Vietnam. Therefore, this study provides a detailed description of the extraction, isolation, and structural determination of 20 natural secondary metabolites present in harvested artichoke. The antioxidant activity of the extract and the 9 isolated compounds are tested in 1,1-diphenyl-2-picrylhydrazyl radical scavenging and ex vivo malondialdehyde model. Among the selected compounds, 1-caffeoylquinic acid, 3-caffeoylquinic acid, chlorogenic acid, 4-caffeoylquinic acid, cynarin, 1,5-dicaffeoylquinic acid, 4,5-di-caffeoylquinic acid, cynaroside, and scolymoside exhibited strong radical scavenging activity with IC50 values ranging from 5.7 to 61.6 µM. In the malondialdehyde assay, 1,3-dicaffeoylquinic acid (or cynarin) showed the strongest activity with an IC50 value of 24.7 µM, followed by 1,5-di-caffeoylquinic acid (66.8 µM), and 4,5-di-caffeoylquinic acid (127.3 µM). This outcome contributes to establishing a database on the phytochemical and antioxidant activity of the Vietnamese artichoke.