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.

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.

Various devices are used to study the unique electrical properties of acupuncture points (APs), with Voll’s electropuncture diagnostics (EAV) occupying a prominent role. The technical design of EAV allows for the testing of drugs to determine their individual selection and dosages. However, the physiological basis of this phenomenon remains unclear. This study investigated the feasibility of evaluating the electrodermal activity of APs to determine the daily dose of ribavirin using electroacupuncture according to the Voll diagnostic system in patients with long COVID.

This blind, randomized, placebo-controlled trial included 101 patients (aged 16 to 50) who met the definition of long COVID and were examined using an EAV testing system that measures the electrodermal activity of APs. Ribavirin was tested at the APs with established decreased electrical impedance readings to determine the daily doses. Fifty-two participants were randomized to the experimental group, and forty-nine to the placebo group. These patients were considered for data analysis.

The results of this study demonstrated the feasibility of using EAV to identify APs with decreased levels of electrodermal activity, followed by medicament testing (MT) of different ribavirin doses to restore the electrodermal activity at these points.

The results indicated that the tested doses of ribavirin in patients with long COVID correlate with electrodermal activity at certain APs along specific meridians. Higher doses of the drug were associated with lower electrodermal activity readings during MT using the EAV diagnostic system. However, further clinical and instrumental studies are needed to evaluate the clinical application of MT in the assessment of long COVID.

Immunization against human papillomavirus (HPV), particularly with a single-dose vaccine, offers a cost-effective strategy for cervical cancer prevention. This study aimed to evaluate the seroprevalence following a single-dose bivalent HPV vaccine among adolescent girls in Bangladesh and to examine its association with sociodemographic characteristics.

A cross-sectional study was conducted among 648 adolescent girls (aged nine to fifteen years) in Dhaka, Bangladesh, who received a single dose of the bivalent HPV vaccine in November 2019. Participants were recruited from ten local schools. At 36 months post-vaccination, blood samples were analyzed for HPV16/18 L1-specific immunoglobulin G using enzyme-linked immunosorbent assay. Sociodemographic data were collected and analyzed using logistic regression.

Most participants were aged nine to thirteen years (82.4%), with a mean age of 11.89 ± 1.59 years. The overall seroprevalence was 72.8% for HPV16 and 82.4% for HPV18. Seropositivity for HPV16 was significantly lower among participants aged 14–15 years [adjusted odds ratio (aOR) = 0.61; 95% confidence interval (CI): 0.39–0.95; p = 0.020] and those in grades nine to ten (aOR = 0.50; 95% CI: 0.28–0.89; p = 0.004). For HPV18, significantly reduced odds of seropositivity were observed among participants from households with monthly incomes up to Taka 10,000 (aOR for Taka 10,001–20,000 = 0.41; 95% CI: 0.26–0.67; p < 0.001; aOR for Taka 20,001–50,000 = 0.21; 95% CI: 0.11–0.40; p < 0.001).

A single-dose bivalent HPV vaccine induces sustained immunity in Bangladeshi adolescent girls, with lower HPV16 seropositivity among older girls and those in higher grades, and higher HPV18 seropositivity is linked to lower household income.

Skin cancer, the most common global malignancy, is linked to ultraviolet (UV)-driven serum 25-hydroxyvitamin D (25(OH)D)synthesis, with its controversial role possibly reflecting cumulative UV exposure. This study aimed to assess the association and causality between 25(OH)D levels and skin cancer risk using the National Health and Nutrition Examination Survey (1999–2018) data and Mendelian randomization (MR) analyses, evaluating 25(OH)D as a screening biomarker.

We integrated data from the National Health and Nutrition Examination Survey (1999–2018; n = 21,357 U.S. adults, including 631 skin cancer cases) with MR analyses using genome-wide association study-derived genetic variants to assess the causal relationship between serum 25(OH)D levels and skin cancer risk.

Higher 25(OH)D levels were associated with increased risks of nonmelanoma skin cancer [odds ratio (OR) (95% confidence interval (CI)) = 2.94 (2.10, 4.20)], melanoma [OR (95% CI) = 2.94 (1.73, 5.28)], and other skin cancers [OR (95% CI) = 2.10 (1.36, 3.36)]. MR analyses supported a causal relationship for nonmelanoma skin cancer [OR (95% CI) = 1.01 (1.00, 1.02)] and melanoma [OR (95% CI) = 1.00 (1.00, 1.01)]. Risks were highest in males, older adults, and individuals with obesity.

Higher serum 25(OH)D levels are associated with increased skin cancer risk, likely reflecting cumulative UV exposure. Routine monitoring of 25(OH)D, combined with UV exposure management, is recommended for risk stratification in skin cancer screening, particularly among high-risk groups. Validation in multiethnic cohorts is needed to confirm these findings.

The COVID-19 pandemic profoundly impacted university students, presenting multifaceted challenges including the abrupt transition to virtual learning and significant disruptions to emotional well-being and dietary habits. This study aimed to investigate the dietary and nutritional characteristics associated with academic stress among Mexican university students during the COVID-19 lockdown.

This cross-sectional study was conducted with a sample of 114 university students in Mexico. Participants completed a self-reported questionnaire assessing dietary patterns, nutritional intake, and academic stress levels. Informed consent was obtained from all participants prior to data collection.

Among study participants (n = 114), 57.8% experienced moderate academic stress, while 25.7% reported high academic stress during the COVID-19 lockdown. Notably, 13.5% of students demonstrated food cravings that were significantly associated with increased consumption of red and fatty meats (P = 0.030) and sausages (P = 0.017). A negative virtual education experience was associated with food cravings towards high-calorie and saturated-fat foods (P = 0.014), as well as elevated academic stress levels (P = 0.009). Furthermore, high academic stress levels were positively associated with food cravings (P = 0.020), particularly towards carbohydrate-rich foods (P = 0.037).

The COVID-19 lockdown substantially disrupted the dietary habits and nutritional status of university students, with academic stress serving as a significant mediating factor.

Artificial intelligence (AI) is profoundly transforming the paradigm of solid tumor drug development. By integrating multi-omics data, spatial transcriptomics, and advanced computational models, AI has significantly accelerated the discovery and validation of new targets, compressing the traditional ten-year research and development cycle to two to three years. Generative AI platforms have optimized small molecule inhibitors, biologics, and messenger RNA vaccines, achieving breakthroughs in overcoming tumor heterogeneity, improving efficacy, and predicting drug resistance. However, clinical translation still faces challenges such as data bias, algorithm transparency, and the validation gap between models and real-world human experience. This review aims to systematically elaborate on the transformative role of AI in solid tumor drug development and to promote interdisciplinary cooperation as well as the construction of ethical frameworks to enable the full realization of precision oncology.

Giant invasive spinal schwannoma (GISS) is a rare benign tumor that extends over two or more vertebral levels with myofascial invasion. No previous case of GISS with vertebral body collapse has been reported. A 44-year-old man presented with a one-year history of progressive limb weakness and difficulty with defecation. He was initially misdiagnosed with a metastatic spinal tumor. Imaging revealed a large extradural mass with C4 vertebral body collapse. Histological examination of tumor tissue from both operations confirmed the diagnosis of schwannoma. The postoperative course was uneventful, and the patient’s limb weakness gradually improved. One year after surgery, the patient was able to walk and write independently. Muscle strength recovered to 4/5 in the upper extremities and 5/5 in the lower extremities, with a modified Japanese Orthopaedic Association score of 15/15. The patient’s neurological function improved significantly, and one-year follow-up showed no recurrence and stable spinal fixation. Currently, the patient’s bowel function has improved; however, the patient still requires defecation in bed. When magnetic resonance imaging reveals giant spinal tumors with imaging features suggestive of malignancy, GISS should be considered. Preoperative biopsy is essential for accurate diagnosis.