Biology subjects

Lai, Y.-H.

Publications and source records attributed to Lai, Y.-H..

4 recordsLinked to original sources

bioRxiv2026

Dual Traditional Chinese Medicine-Preconditioned Stem Cell Secretomes in Coaxial Electrospun Nanofibers Synergistically Accelerate Diabetic Wound Regeneration

Chronic diabetic wounds resist healing due to impaired angiogenesis, stalled cellular migration, and persistent inflammation, a challenge further compounded by the rapid degradation of therapeutic growth factors in the proteolytic wound bed. To overcome this, Traditional Chinese Medicine (TCM) compounds are employed not as standalone drugs, but as biomolecular stimuli to precondition the secretome of Wharton's Jelly-derived mesenchymal stem cells (WJMSCs). To overcome these critical translational barriers, this study engineers a core-shell coaxial electrospun nanofibrous scaffold (polyvinyl alcohol core/gelatin shell) designed for the stabilizing and sustained dual-delivery of biologics. We introduce a novel synergistic payload with WJMSCs conditioned medium (WJMSCs-CM) uniquely primed by two specific chinese herbal compounds, Astragaloside IV (AS-IV) and Formononetin (FMN). This core-shell architecture provides native-like contact guidance for cells while converting conventional burst release into a sustained, weeks-long elution. In vitro, this functionalized scaffold restores Akt/eNOS signaling, rescues cellular viability, and promotes robust tube formation in high-glucose-stressed fibroblasts and endothelial cells. In vivo, within an STZ-induced diabetic rat model, the application of this WJMSCs-CM-loaded coaxial scaffold actively inhibits early inflammation and comprehensively accelerates healing, driving near-complete wound closure (98.2 by day 21), mature collagen deposition, and hair follicle neogenesis. Ultimately, this bio-instructive platform successfully integrates physical structural cues with sustained biochemical signaling, offering a potent, multifaceted strategy for chronic wound regeneration.

bioengineering↗

bioRxiv2026

G quadruplex DNA facilitates a pervasive path to homologous recombination

Homologous recombination (HR) requires efficient homology search and strand invasion, yet how homologous templates are identified within nuclear space remains unclear. Here, we identify G-quadruplex (G4) DNA structures as pervasive effectors of template strand invasion and uncover the G4 helicase DHX36 as a potent suppressor of this process. DHX36 loss stabilizes G4s, enhances HR, and accelerates repair of replication-associated DNA breaks. G4-mediated HR depends on the non-canonical strand invasion factors RAD51AP1, WDR48, and USP1, and requires G4 motifs within the homologous repair template. DHX36 loss partially restores HR and PARP inhibitor resistance in BRCA1-deficient cells, while promoting aberrant recombination and Alternative Lengthening of Telomeres (ALT). Together, our findings establish dynamic G4 regulation as a key determinant of homology search, genome maintenance, and recombination fidelity.

molecular biology↗

bioRxiv2026

Serial vaccination expands and refines human CD4+ T cell memory

CD4+ T cells coordinate protective immunity against pathogens. However, a major unresolved question is how human CD4+ T cell memory is established and evolves following primary and repeated vaccination. Using COVID-19 mRNA vaccination as a model, we tracked 50 distinct antigen-specific populations directly ex vivo with peptide-MHC class II tetramers in eight SARS-CoV-2-naive individuals from pre-vaccine baseline through memory time points after three mRNA doses. Our findings identify the primary vaccine series as the main driver of memory pool size. It leverages pre-existing memory while preferentially recruiting high-avidity T cells, establishing an immunodominance hierarchy dominated by a small subset of precursors. Booster vaccination refines both the magnitude and quality of T cell memory. It increases select populations and enhances differentiation of subdominant CD4+ T cells. Populations that did not become more abundant after boosting retained their polyfunctional potential. Beyond establishing memory to the ancestral spike, vaccinations broadened responses by recruiting cross-reactive T cells recognizing viral variants. Collectively, these findings reveal how human CD4+ T cell memory evolves through sequential immunizations to generate a functionally diverse and broadly responsive memory repertoire against future viral challenges.

immunology↗

bioRxiv2019

Predicting the prognosis of non-small cell lung cancer by integrating microarray and clinical data with deep learning

AO_SCPLOWBSTRACTC_SCPLOWNon-small cell lung cancer (NSCLC) is one of the most common lung cancers worldwide. Accurate prognostic stratification of NSCLC can become an important clinical reference when designing therapeutic strategies for cancer patients. With this clinical application in mind, we developed a deep neural network (DNN) combining heterogeneous data sources of gene expression and clinical data to accurately predict the prognosis of NSCLC patients. Based on microarray data from a cohort set (614 patients), seven well-known NSCLC markers were used to group patients into marker- and marker+ subgroups. Using a systems biology approach, prognosis relevance values (PRV) were then calculated to select eight additional novel prognostic gene markers. Gene markers along with clinical data were then used to develop an integrative DNN via bimodal learning to predict the 5-year survival rate of NSCLC patients with tremendously high accuracy (AUC: 0.8163, accuracy: 75.44%), which is superior to all other existing methods based on AUC. Using the capability of deep learning, we believe that our predicted cancer prognosis can be a promising index helping oncologists and physicians develop personalized therapy and build the foundation of precision medicine in the future.

bioinformatics↗