Biomedical subjects

Meng Yuan

Publications and source records attributed to Meng Yuan.

4 recordsLinked to original sources

PubMed2026

Infectious Clone Development of Zucchini Green Mottle Mosaic Virus Infecting Medicinal Plant Trichosanthes kirilowii and Establishment of a Serological Assay System.

Trichosanthes kirilowii has long been cultivated for application in traditional Chinese medicine. In this study, we identified two isolates of zucchini green mottle mosaic virus (ZGMMV; species Tobamovirus cucurbitae) from T. kirilowii plants. We determined the complete genome sequences of the ZGMMV isolates named ZGMMV-GL-1 and ZGMMV-GL-2. Each ZGMMV genome was 6,517 nucleotides in length, with only a single nucleotide variation detected between two sequences. Sequence analysis revealed that the ZGMMV isolates from this study shared 88.07 to 91.62% nucleotide identity with five other ZGMMV isolates deposited in GenBank. Phylogenetic analysis indicated that ZGMMV isolates can be clustered into two distinct groups; our two isolates shared the highest sequence similarity with the ZGMMV isolate from Nanning (GenBank accession number MF066176) and clustered within Group II. The coat protein (CP) gene was cloned from ZGMMV-infected T. kirilowii samples, and the CPZGMMV was expressed using the pET28(a) vector. Specific polyclonal antiserum CPZGMMV was generated by immunizing rabbits with the purified protein, and its sensitivity was determined to be satisfactory. Leveraging the high accuracy and sensitivity of the CPZGMMV antiserum, we developed a rapid, precise, and scalable diagnostic method for ZGMMV. We then constructed the full-length cDNA clones (ZGMMV-GL-1 and ZGMMV-GL-2). Additionally, the ZGMMV cDNA infectious clones from T. kirilowii were also able to infect Nicotiana benthamiana and Cucumis sativus systemically, inducing rough-textured and curled leaves in N. benthamiana and mosaic symptoms in C. sativus and T. kirilowii. In this study, we produced an antiserum against the ZGMMV CP and developed a sensitive, rapid, and reliable diagnostic assay, which lays a technical foundation for the detection and monitoring of ZGMMV. Therefore, the establishment of the ZGMMV infectious clone facilitates further research on viral protein functions, plant-pathogen interactions, and the formulation of effective ZGMMV management strategies.

Nicotiana benthamiana↗

PubMed2026

Effect of transcutaneous auricular vagus nerve stimulation on postoperative pain in patients undergoing thoracoscopic partial lung resection: a randomized, double-blind, controlled clinical trial.

BACKGROUND: Postoperative pain after thoracic surgery remains common and challenging. Transcutaneous auricular vagus nerve stimulation (taVNS) is a noninvasive neuromodulation technique with potential analgesic effects. This study aimed to evaluate the efficacy and safety of taVNS for postoperative pain management in patients undergoing thoracoscopic partial lung resection. METHODS: Adults undergoing thoracoscopic partial lung resection were randomized to active or sham taVNS. The primary outcome was cough pain intensity at 48h post-surgery, assessed by Numeric Rating Scale (NRS). Secondary outcomes included cough pain at 24h and 72h, resting pain, moderate-to-severe pain incidence, opioid consumption, quality of recovery, postoperative pulmonary complications , chest tube duration, hospital stay, postoperative nausea/vomiting, and adverse events. RESULTS: Among 119 analyzed patients (active n = 60, sham n = 59), active taVNS reduced cough pain scores at 24h, 48h, and 72h postoperatively, as well as resting pain (p < 0.05). It also lowered the incidence of moderate-to-severe cough pain at 24h and 48h, reduced cumulative postoperative opioid use at 24h and 72h, and decreased rescue analgesia on postoperative day 3 (p < 0.05). Active taVNS was associated with a lower incidence of postoperative pneumothorax (p < 0.05). No serious adverse events occurred. CONCLUSION: Perioperative taVNS was associated with a modest analgesic benefit and reduced postoperative opioid requirements after thoracoscopic partial lung resection. The observed reduction in postoperative pneumothorax requires cautious interpretation, and further multicenter trials are needed to determine its clinical utility.

Humans↗

PubMed2025

Gain-of-function PPM1D mutations attenuate ischemic stroke.

Identification of genetic aberrations in stroke, the second leading cause of death worldwide, is of paramount importance for understanding the disease pathogenesis and generating new therapies. Whole-genome sequencing from 10,241 ischemic stroke patients identified eight patients carrying gain-of-function mutations on coding variants in the protein phosphatase magnesium-dependent 1 δ (PPM1D) gene. Patients carrying PPM1D mutations exhibit better stroke-related clinical phenotypes, including improvements in peripheral inflammation, fibrinogen, low-density lipoprotein, cholesterol and plateletcrit level. Experimental brain ischemia in Ppm1d-deficient (Ppm1d-/-) mice resulted in enlarged lesions and pronounced neurological impairments. Spatial transcriptomics revealed a distinct Ppm1d-associated gene expression pattern, indicating disrupted endothelial homeostasis during ischemic brain injury. Proteomic analysis demonstrated that differentially expressed proteins in primary brain endothelial cells from Ppm1d-/- mice were significantly enriched in the peroxisome proliferator-activated receptors (PPARs)-mediated metabolic signaling. Mechanistically, Ppm1d deficiency promoted aberrant fatty acid β-oxidation and increased oxidative stress, which impaired endothelial cell function through the PPARα pathway. A small molecule, T2755, was identified to engage Trp427 and stabilize PPM1D, thereby mitigating ischemic brain injury in mice. Collectively, we find that PPM1D protects against ischemic brain injury and validates its pharmacological stabilizer T2755 as a promising therapy for ischemic stroke. Gain-of-function PPM1D mutations attenuate ischemic cerebral injury. Whole-genome sequencing data of 10,241 ischemic stroke patients from the Third Chinese National Stroke Registry (CNSR-III) identified eight patients with gain-of-function mutations in the protein phosphatase magnesium-dependent 1 δ (PPM1D) gene (17q23.2). These mutation carriers displayed improved peripheral inflammation, decreased fibrinogen, low-density lipoprotein, cholesterol and plateletcrit level. Ppm1d-deficient (Ppm1d-/-) mice exhibited exacerbated stroke outcomes, characterized by enlarged infarct volumes, disrupted cerebrovascular architecture, and enhanced neuro-inflammation. Mechanistically, Ppm1d deficiency induced the disturbance of endothelial fatty acid metabolism involving the PPARα pathway. Through integrated computational modeling, virtual screening, and in vitro validation, T2755 was identified as a small molecule PPM1D stabilizer. Pharmacological PPM1D stabilization with T2755 significantly attenuated ischemic brain injury in murine models.

Aged↗

PubMed2025

Optimized phenotyping of complex morphological traits: enhancing discovery of common and rare genetic variants.

Genotype-phenotype (G-P) analyses for complex morphological traits typically utilize simple, predetermined anatomical measures or features derived via unsupervised dimension reduction techniques (e.g. principal component analysis (PCA) or eigen-shapes). Despite the popularity of these approaches, they do not necessarily reveal axes of phenotypic variation that are genetically relevant. Therefore, we introduce a framework to optimize phenotyping for G-P analyses, such as genome-wide association studies (GWAS) of common variants or rare variant association studies (RVAS) of rare variants. Our strategy is two-fold: (i) we construct a multidimensional feature space spanning a wide range of phenotypic variation, and (ii) within this feature space, we use an optimization algorithm to search for directions or feature combinations that are genetically enriched. To test our approach, we examine human facial shape in the context of GWAS and RVAS. In GWAS, we optimize for phenotypes exhibiting high heritability, estimated from either family data or genomic relatedness measured in unrelated individuals. In RVAS, we optimize for the skewness of phenotype distributions, aiming to detect commingled distributions that suggest single or few genomic loci with major effects. We compare our approach with eigen-shapes as baseline in GWAS involving 8246 individuals of European ancestry and in gene-based tests of rare variants with a subset of 1906 individuals. After applying linkage disequilibrium score regression to our GWAS results, heritability-enriched phenotypes yielded the highest SNP heritability, followed by eigen-shapes, while commingling-based traits displayed the lowest SNP heritability. Heritability-enriched phenotypes also exhibited higher discovery rates, identifying the same number of independent genomic loci as eigen-shapes with a smaller effective number of traits. For RVAS, commingling-based traits resulted in more genes passing the exome-wide significance threshold than eigen-shapes, while heritability-enriched phenotypes lead to only a few associations. Overall, our results demonstrate that optimized phenotyping allows for the extraction of genetically relevant traits that can specifically enhance discovery efforts of common and rare variants, as evidenced by their increased power in facial GWAS and RVAS.

Humans↗