Biomedical subjects

Hui Yu

Publications and source records attributed to Hui Yu.

3 recordsLinked to original sources

PubMed2026

Spatially resolved multi-omics analysis of indigenous Bacillus-fortified high-temperature Daqu.

Layer-dependent patterns associated with indigenous Bacillus fortification on high-temperature Daqu remain unclear. Here, six indigenous functional Bacillus strains were combined to fortify Daqu at three inoculation levels (QH4, QH5, QH6), with non-fortified as the control (CK). Upper, middle, and lower shelf-layer samples were profiled by physicochemical measurements, volatilomics, organic acid analysis, untargeted metabolomics, 16S/ITS amplicon sequencing, and metagenomics. PERMANOVA showed significant effects of treatment, spatial layer, and their interaction on physicochemical, volatile, bacterial, and fungal profiles (P = 0.001). Among the three inoculation levels, QH5 showed the most balanced performance: QH5_M exhibited the highest observed mean peak temperature (63.3 °C; +4.5 °C relative to CK_M), and its group-mean temperature remained ≥ 60 °C for seven consecutive days. Multi-omics analyses indicated coordinated, non-linear, and layer-dependent differences associated with indigenous Bacillus fortification, with QH5_M showing the most pronounced combined thermal, pyrazine, substrate, microbial, and predicted functional profile. These findings indicate that moderate indigenous Bacillus fortification was associated with distinct layer-dependent thermal and flavor profiles and coordinated microbial, metabolic, and predicted functional differences.

Bacillus↗

PubMed2026

Metabolic Dysfunction-Associated Steatotic Liver Disease Is Associated With Adverse Social Factors: An Analysis Using All of Us.

BACKGROUND AND AIMS: Metabolic dysfunction-associated steatotic liver disease (MASLD) is progressive, with estimated global prevalence exceeding 30%. Social determinants of health (SDOH) may impact MASLD risk and progression. However, this has not been fully characterized. We harnessed the power of the All of Us Research Program (AoU) dataset to conduct a comprehensive analysis examining the association between various SDOH and MASLD. METHODS: We conducted a retrospective cross-sectional analysis of the AoU database. We identified participants with MASLD using ICD-9 and -10 codes and excluded individuals with other chronic liver diseases or self-reported heavy alcohol use. Healthy control participants were devoid of chronic liver diseases, heavy alcohol use, and comorbidities associated with MASLD if obese. We examined SDOH by combining relevant questions from various AoU surveys and conducted univariate and multivariate logistic regression to examine the association between various SDOH and MASLD. RESULTS: After matching cases to controls by age and race/ethnicity, the sample of 57,895 participants had a 1:3 case to control ratio; 16,666 had complete SDOH survey data (MASLD to controls, 1:3.4). Compared to controls, individuals with MASLD were more likely to have less than a high school education (10.7% vs 9.7%; P < .001) and annual income ≤$35,000 (42.4% vs 34.3%; P < .001). Compared to controls, participants with MASLD had significantly higher levels of social isolation, neighborhood disorder, perceived stress, food insecurity, and transportation insecurity (P < .001 for all). CONCLUSION: The study identified significant associations between MASLD and multiple SDOH. Future studies should investigate how SDOH interact to drive MASLD risk and progression.

All of Us↗

PubMed2026

In vivo immune cell engineering from bench to clinical reality.

Adoptive immune cell therapies, exemplified by chimeric antigen receptor T cells, have transformed the treatment of hematological malignancies. However, their broader clinical application is limited by complex ex vivo manufacturing, high cost, and safety concerns. In vivo immune cell engineering has emerged as an alternative strategy that delivers genetic instructions directly to immune cells, thereby generating or modulating therapeutic immune cells within the body and reducing the reliance on individualized in vitro operations. These advances underscore the need for a systematic evaluation of this emerging field. Therefore, this review systematically summarizes the mechanistic principles and delivery strategies underlying in vivo immune cell engineering, with an emphasis on in vivo CAR-T cell generation and the engineering of other immune cells. We then discuss major viral and non-viral delivery platforms and clarify how these platforms influence cargo delivery, cell specificity, and functional immune-cell programming. We further discuss recent preclinical and emerging clinical advances across cancer, autoimmune diseases, and degenerative diseases, while examining key translational challenges, including delivery specificity, off-target effects, controllability, persistence, and manufacturing standardization. Overall, although the field of in vivo immune cell engineering is advancing rapidly, its clinical success will depend on coordinated improvements in delivery precision, therapeutic efficacy, safety, and controllable immune-cell programming.

Cancer immunotherapy↗