There are no intraepithelial eosinophils present in the normal esophageal mucosa. It is well established that gastroesophageal reflux disease (GERD) and eosinophilic esophagitis (EoE) individually can result in esophageal eosinophilia and that the two disorders frequently coexist in the same patient. Nevertheless, the first step in the diagnostic algorithm for patients with esophageal symptoms associated with esophageal eosinophilia is to exclude non-EoE disorders that can cause esophageal eosinophilia, including GERD. While it is clear that GERD without EoE can cause low-level esophageal eosinophilia, it is less clear whether GERD alone can induce EoE-level esophageal eosinophilia (i.e., ≥15 eosinophils per high-power field). In this report, we have reviewed mechanisms by which reflux might induce eosinophilia in the esophagus and assessed studies suggesting that GERD alone can induce EoE-level esophageal eosinophilia. Studies on the latter issue have suffered from numerous shortcomings, including the use of outmoded or dubious methods for identifying GERD. Many of these studies were published prior to the realization that EoE can respond to proton pump inhibitor treatment. Our review of these studies suggests that GERD alone rarely, if ever, causes EoE-level eosinophilia (perhaps <1% of cases). For patients with definitive evidence of GERD associated with EoE-level esophageal eosinophilia but without endoscopic or clinical features of EoE, it is impossible to determine whether the eosinophilia is caused solely by GERD, by underlying but unrelated EoE that does not manifest typical features, or by EoE driven by GERD-induced defects, such as impaired esophageal barrier function. Until better diagnostic tests for EoE become available, this situation will remain a clinical conundrum.

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.

Lung Squamous cell carcinoma (LSCC) represents the second most common non-small cell lung cancer. Although studies identified adenocarcinoma-like driver mutations in LSCC using next-generation sequencing (NGS), the disease is challenging to treat due to the limited number of detectable mutations for targeted drug therapy. This study aimed to evaluate the mutation profiles of LSCC detected by NGS to assess the relationships between different driver mutations and clinicopathological parameters.

NGS with a panel of 72 cancer-related genes was used to evaluate the driver mutation profiles of 41 lung resection specimens from patients with LSCC at the Molecular Pathology Laboratory of Aydın Adnan Menderes University in Türkiye. Clinical and histopathological features were recorded for analysis.

Detection of 94 mutations in 23 genes in DNA extracted from the tissue samples of 36 patients revealed that the most prevalent mutations were TP53 (30.85%), NF1 (20.20%), PTEN (11.70%), PIK3CA (5.31%), FBXW7 (4.25%), KRAS (3.20%), respectively. We identified statistically significant relationships between PIK3CA and lower mean age (p = 0.007) and between PTEN and mild inflammatory reaction (p = 0.004). PTEN was associated with central localization (p = 0.13), NF1 with visceral pleural involvement (p = 0.09), and PIK3CA with severe inflammatory reaction (p = 0.053), as well as with advanced pathological T stage (p = 0.09) and pathological N stage (p = 0.057) according to the TNM staging system.

Our study highlights the importance of assessing mutation profiles in LSCC patients to identify driver mutations as potential therapeutic targets. Certain histopathological features are associated with these mutations, serving as indicators for treatment and follow-up decisions.

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.

China has made remarkable progress in controlling chronic hepatitis B virus (HBV) infection over the past three decades. The prevalence of hepatitis B surface antigen has declined from 9.72% in 1992 to 5.86% in 2020, with a striking reduction from 9.67% to 0.30% among children under five. Universal hepatitis B vaccination has been pivotal, preventing more than 40 million infections and seven million HBV-related deaths since 1992. Nevertheless, an estimated 75 million individuals are currently living with chronic HBV infection in China. Among them, only 59.78% are aware of their infection status, and about 30 million remain undiagnosed. Of those diagnosed, 38.25% (approximately 17 million) meet the criteria for antiviral treatment, yet only 17.33% (about three million) are receiving treatment. To accelerate progress toward the World Health Organization’s elimination targets, China has updated its clinical guidelines to expand treatment eligibility and improve diagnosis and treatment coverage. Moreover, Chinese pharmaceutical companies and academic institutions are actively engaged in developing novel therapies with promising efficacy, aiming to achieve a functional cure. China’s holistic approach, combining evidence-based public health interventions with active clinical management and innovative pharmaceutical development, provides valuable experience for global HBV elimination initiatives. This review aimed to summarize China's progress in HBV control, identify remaining gaps in diagnosis and treatment, and highlight strategic approaches, including public health interventions, clinical policy updates, and pharmaceutical innovation, toward achieving HBV elimination.

Metabolic dysfunction-associated steatotic liver disease (MASLD), is the most common form of chronic liver disease worldwide. This study aimed to explore the role of TM6SF2 in high-fat diet (HFD)-induced MASLD through the gut-liver axis.

The TM6SF2 gut-specific knockout (TM6SF2 GKO) mouse was constructed using CRISPR/Cas9 technology. TM6SF2 GKO and wild-type (CON) mice were fed either a HFD or a control diet for 16 weeks to induce MASLD. Blood, liver, and intestinal lipid content, as well as gut microbiota and serum metabolites, were then analyzed.

TM6SF2 GKO mice fed an HFD showed elevated liver and intestinal lipid deposition compared to CON mice. The gut microbiota of HFD-fed TM6SF2 GKO mice exhibited a decreased Firmicutes/Bacteroidetes ratio compared to HFD-fed CON mice. The HFD also reduced the diversity and abundance of the microbiota and altered its composition.Aspartate aminotransferase, alanineaminotransferase, and total cholesterol levels were higher in HFD-fed TM6SF2 GKO mice compared to CON mice, while triglyceride levels were lower. Serum metabolite analysis revealed that HFD-fed TM6SF2 GKO mice had an increase in the expression of 17 metabolites (e.g., LPC [18:0/0-0]) and a decrease in 22 metabolites (e.g., benzene sulfate). The differential metabolites of LPC (18:0/0-0) may serve as HFD-fed TM6SF2 serum biomarkers, leading to MASLD exacerbation in GKO mice.

TM6SF2 GKO aggravates liver lipid accumulation and liver injury in MASLD mice. TM6SF2 may play an important role in regulating intestinal flora and the progression of MASLD through the gut-liver axis.

Microscopic colitis is a chronic inflammatory disease of the colon that describes patients who present with watery diarrhea, normal or minimal endoscopic findings, and chronic inflammation identified on colonic biopsy. As the name suggests, microscopic colitis requires histologic evaluation for diagnosis. The two most well-established histologic patterns are collagenous colitis and lymphocytic colitis. In this review, we highlighted the key histologic features of microscopic colitis on biopsy specimens, along with its endoscopic findings, pathogenesis, and underlying molecular mechanisms. We also discussed important mimickers—including amyloidosis, collagenous colitis, ischemic colitis, and radiation colitis—emphasizing their distinguishing histopathologic characteristics. Recognizing these mimickers is crucial, as their treatment strategies are significantly different.

Since the adoption of novel prognostic scores, such as the iterative model for end-stage liver disease (MELD 3.0) and the gender-equity model for liver allocation (GEMA), their utility has markedly expanded to diverse clinical scenarios. However, data concerning their prognostic value in more generalized cirrhotic populations are scarce. In this study, we aimed to elucidate the MELD 3.0/GEMA-Na for long-term mortality risk stratification and refine their usage scope.

This study retrospectively reviewed 310 hospitalized patients with decompensated cirrhosis. Discrimination and stratification were compared between MELD 3.0/GEMA-Na and other scores. Validation was performed in another 120 subjects.

In the investigated cohort, the median MELD-Na, MELD 3.0, and GEMA-Na were 9 (7, 12), 12 (10, 17), and 12 (9, 17), respectively. Compared to their predecessors, both MELD 3.0 and GEMA-Na models exhibited consistently better discriminative ability, especially in relation to long-term mortality. This effect was more pronounced for GEMA-Na, which was the only score to present an area under the receiver operating characteristic curve greater than 0.8 up to two years (0.807). Statistical analysis indicated that a MELD 3.0 score of 18 and a GEMA-Na score of 20 were the most optimal cutoffs to rank the risk of death, both of which were independently associated with two-year all-cause transplant-free mortality (MELD 3.0: hazard ratio: 1.13, 95% confidence interval: 1.10, 1.17; GEMA-Na: hazard ratio: 1.12, 95% confidence interval: 1.10, 1.17, both P < 0.001). Similar findings were affirmed in the validation cohort.

MELD 3.0 is superior to other MELD-based scores for long-term prognostication in hospitalized patients with cirrhosis, while GEMA-Na demonstrated even better accuracy and performance.

Direct-acting antivirals (DAAs) have dramatically changed the landscape of chronic hepatitis C virus (HCV) treatment and significantly reduced the risk of HCV-related hepatocellular carcinoma (HCC) after achieving sustained virologic response. However, the risk of HCC persists, particularly in patients with pre-treatment cirrhosis or fibrosis stage 3 (F3), even after DAA-induced viral eradication. While professional guidelines agree on the need for surveillance in cirrhotic patients, there is no consensus regarding surveillance for the pre-treatment F3 population following HCV eradication. The risk of HCC in the F3 population falls below the threshold for cost-effective surveillance. However, co-existing risk factors—such as diabetes, hepatic steatosis, alcohol use, advanced age, and elevated alpha-fetoprotein levels—may warrant reconsideration of HCC surveillance in this group. This underscores the need for an individualized, risk-based approach to HCC surveillance. This review provided a simplified algorithm to assist clinicians in managing patients with HCV after DAA-induced sustained virologic response.