Biomedical subjects

Daniel Q Huang

Publications and source records attributed to Daniel Q Huang.

2 recordsLinked to original sources

PubMed2025

Long-Term Effectiveness of Tenofovir Alafenamide Versus Entecavir in Treatment-Naive Chronic Hepatitis B: A Real-World Evidence from the Global Alliance for the Study of Hepatitis B Virus.

INTRODUCTION: Although both tenofovir alafenamide (TAF) and entecavir (ETV) are recommended first-line treatments for chronic hepatitis B, comparative data on their effectiveness remain limited. We aim to compare their virologic (VR), biochemical (BR), and complete (CR) response rates. METHODS: This retrospective study enrolled treatment-naive chronic hepatitis B patients who initiated either TAF or ETV in 2016 or after across 22 international centers and evaluated their treatment response after balancing their characteristics using inverse probability treatment weighting and through Fine-Gray competing-risks analysis of the balanced cohort. RESULTS: The study included 1,605 patients (784 TAF and 821 ETV patients with significant background differences) of whom 1,553 (96.8%) were from Asia. Inverse probability treatment-weighting analysis yielded a total weighted cohort of 1,660 (822 TAF and 838 ETV patients with balanced characteristics). The 5-year cumulative VRs were high in both groups with a slightly higher rate in TAF patients (98.0% vs 93.9%, P < 0.001), and similar findings were found in a subgroup analysis by median hepatitis B virus (HBV) DNA (5.5 log IU/mL). However, there was no significant difference in the 5-year BR rates overall (93.7 vs 92.8%, P = 0.484) or by alanine aminotransferase (ALT) cutoff of 2× upper limit of normal. TAF patients had a slightly higher 5-year cumulative CR overall (94.9% vs 89.4%, P = 0.001) and in high HBV DNA (96.9% vs 87.9%, P < 0.001) or ALT ≥2× upper limit of normal patients (97.3% vs 90.6%, P < 0.001), but not in those with lower HBV DNA or ALT. DISCUSSION: BR rates were similar with ETV and TAF, while VR and CR were higher with TAF, although the difference was modest (<5% overall, 7%-9% in high HBV DNA or ALT groups). Antiviral selection between TAF vs ETV should be based mainly on cost, side effect profile, and patient preference.

Adult↗

PubMed2025

Plasma inflammatory proteome profiles identify MASLD among children with overweight or obesity.

BACKGROUND & AIMS: Pediatric metabolic dysfunction-associated steatotic liver disease (MASLD) is increasingly prevalent among children with overweight or obesity, yet its early diagnosis remains a major clinical challenge. This study aimed to identify circulating inflammatory proteins associated with MASLD and to develop a proteomic risk score (ProScore) to improve diagnostic accuracy. METHODS: In this cross-sectional study of 161 children (median age 8.5 years) with overweight or obesity, MASLD was assessed by vibration-controlled transient elastography, with 42 cases identified. Plasma concentrations of 92 inflammation-related proteins were quantified using a high-throughput proximity extension assay. The ProScore was compared with eleven conventional anthropometric/metabolic indices (WHtR, METS-IR, SPISE, PNFI, VAI, LAP, TyG, TyG-ALT, TyG-WC, TyG-WHtR, and TyG-BMI) and a genetic risk score (GRS). Six machine learning algorithms were employed and diagnostic performance was assessed using area under the curve (AUC) with fivefold cross-validation. RESULTS: Fifteen proteins were significantly associated with MASLD. A six-protein panel (FGF-21, CDCP1, CD244, OPG, Flt3L, MCP-1) achieved the highest diagnostic accuracy (AUC = 0.84), exceeding that of all conventional indices (AUC = 0.65-0.78; all P < 0.05). ProScore performance remained robust in school-based validation (AUC = 0.83), with no substantial improvement when combined with conventional indices. Diagnostic accuracy was higher in children with lower GRS (AUC = 0.92) than in those with higher GRS (AUC = 0.80; P = 0.003). CONCLUSIONS: A proteomic signature of systemic inflammation provides accurate, non-invasive identification of MASLD in at-risk children, outperforming conventional metabolic and genetic tools, and may have utility in clinical and public health settings.

Humans↗