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Biomedical subjects

Ting Zhang

Publications and source records attributed to Ting Zhang.

11 recordsLinked to original sources

A truncated COL10A1 protein causes Schmid metaphyseal chondrodysplasia via protein downregulation and impairing α1 trimer formation and secretion.

Schmid-type metaphyseal chondrodysplasia (SMCD) is primarily caused by mutations in the COL10A1 gene. This study reports a novel frameshift mutation, c.1940dup (p.Asn647Lysfs*2), identified in a Chinese SMCD pedigree. The mutation did not alter messenger RNA levels but significantly reduced COL10A1 protein expression. The mutant protein lacks the C-terminal 33 amino acids, resulting in a truncated polypeptide of 648 residues with a lower molecular weight than the wild-type protein. Degradation kinetics analysis showed no evidence of accelerated turnover. Notably, even under complete inhibition of degradation pathways, mutant protein expression remained substantially lower than that of wild-type, suggesting a potential defect in translational efficiency. Furthermore, the mutation severely disrupted the assembly of the characteristic collagen X trimer and led to markedly reduced extracellular secretion, as measured by accumulated protein levels in conditioned medium. These findings demonstrate that the c.1940dup mutation contributes to SMCD pathogenesis through coordinated mechanisms involving protein truncation, reduced expression, probable translational deficiency, and defective trimer formation and secretion, thereby revealing new potential therapeutic targets.

Osteochondrodysplasias

α-Ketoglutarate Promotes Ciprofloxacin Tolerance in Methicillin-Resistant Staphylococcus aureus via Glutamate-Mediated Metabolic Remodeling.

Methicillin-resistant Staphylococcus aureus (MRSA) is a globally significant pathogen causing severe infections. The chronicity and recurrence of its infection pose serious challenges to public health. In this study, we reported that intracellular accumulation of α-ketoglutarate (α-KG) significantly increased ciprofloxacin (CIP) tolerance in MRSA. Using integrated metabolomic and functional genomic approaches, we demonstrated that both exogenous α-KG and genetic knockout of α-KG dehydrogenase (ΔsucA, ΔsucB) induced CIP tolerance in MRSA. Mechanistically, elevated α-KG levels drive the accumulation of glutamate (Glu), which in turn reduced bacterial membrane potential and cellular ATP content. Furthermore, Glu accumulation raised intracellular osmotic pressure, leading to decreased CIP uptake. These metabolic alterations enable MRSA to sustain high tolerance toward ciprofloxacin. Our findings reveal a key role of the α-KG-Glu metabolic axis in driving antibiotic tolerance and provide novel insights into the metabolic adaptations underlying drug persistence in MRSA.

Ciprofloxacin

The bZIP54 (GBF2)-SARD1 module regulates salicylic acid-mediated resistance to Pst DC3000 in Arabidopsis.

Salicylic acid (SA)-mediated defense responses are crucial for plant immunity, yet transcription factors (TFs) that coordinate SA biosynthesis with immune activation remain incompletely characterized. Here, a basic leucine zipper (bZIP) TF, bZIP54, was identified as a positive regulator in response to Pseudomonas syringae pv. tomato (Pst) DC3000. Consistent with this finding, bZIP54 regulated SA accumulation and a suite of SA-related defense genes following Pst DC3000 infection. Mechanistically, bZIP54 directly bound to a G-box-like motif in the SARD1 promoter, activating its expression-an interaction that was further enhanced by SA. Genetic analysis demonstrated that SARD1 operates downstream of bZIP54 to confer resistance to Pst DC3000. Additionally, bZIP54 also contributed to defense against the fungal pathogen Sclerotinia sclerotiorum, indicating a broader role in plant immunity. Together, these findings revealed a bZIP54-SARD1 regulatory module, thus providing insights into the transcriptional networks governing disease resistance in Arabidopsis.

Arabidopsis

Myeloid Dendritic Cell Counts and Coronary Heart Disease: a Bidirectional Mendelian Randomization Study.

BACKGROUND: Coronary heart disease (CHD) remains a leading cause of morbidity and mortality worldwide, with immune and inflammatory mechanisms playing important roles in its pathogenesis. Dendritic cells (DCs) are key regulators of immune responses; however, the relationship between specific DC subsets and CHD risk remains incompletely understood. METHODS: This study conducted a bidirectional two-sample Mendelian randomization (MR) analysis using publicly available genome-wide association study (GWAS) summary statistics to investigate the potential associations between circulating dendritic cell traits and CHD. Genetic instruments for myeloid dendritic cells (Myeloid DCs) and plasmacytoid dendritic cells (Plasmacytoid DCs), including both absolute counts and relative proportions, were obtained from immune cell GWAS datasets. Summary statistics for CHD were derived from a large European-ancestry population. Multiple MR methods were applied, and sensitivity analyses were performed to assess the robustness of the findings and potential pleiotropic effects. RESULTS: Nominal associations between genetically predicted Myeloid DC counts and CHD risk were observed in the MR-Egger and weighted median analyses, whereas the inverse variance weighted analysis demonstrated no significant association. These nominal associations did not remain statistically significant after correction for multiple testing. No significant associations were observed for Plasmacytoid DC counts or for the relative proportions of either DC subset. Reverse MR analyses were inconclusive due to wide confidence intervals, precluding meaningful inference regarding a causal effect of CHD on DC-related traits. Sensitivity analyses revealed no substantial heterogeneity or horizontal pleiotropy. CONCLUSIONS: This bidirectional MR study explored the potential relationships between circulating dendritic cell traits and CHD risk. Although nominal associations involving Myeloid DC counts were observed in secondary MR analyses, no robust evidence supporting an association remained after correction for multiple testing. Further studies using larger datasets and functional approaches are warranted to clarify the role of dendritic cells in CHD.

Humans

Decreased H3K79 acetylation and dysregulation of neurodevelopmental genes in fetal down syndrome.

BACKGROUND: Down syndrome (DS), the most prevalent chromosomal disorder caused by trisomy 21, manifests intellectual disability and cognitive dysfunction. Cumulative studies confirm epigenetic pathways including DNA methylation and non-coding RNAs drive DS pathological progression. Histone post-translational modifications (PTMs) are core epigenetic regulators of fetal brain development. However, genome-wide PTM alterations and their downstream functions in fetal DS brains remain poorly characterized, leaving a key gap in revealing epigenetic mechanisms underlying DS neurodevelopmental defects. To address this, we aimed to establish the first comprehensive landscape of histone PTMs in fetal DS cortex and investigate whether specific PTM changes contribute to aberrant neurodevelopmental gene expression. METHODS: Fetal cortexs from control and DS groups were subjected to global histone modification profiling via high-performance liquid chromatography-tandem mass spectrometry (HPLC-MS/MS). We detected mono-, di-, and tri-methylation, acetylation, homocysteinylation and malonylation on all four core histones (H2A, H2B, H3, H4). Chromatin immunoprecipitation sequencing (ChIP-seq) was used to map genomic binding profiles of H3 lysine 79 acetylation (H3K79ac). Quantitative reverse transcription polymerase chain reaction (qRT-PCR) was performed to quantify mRNA levels of candidate neurodevelopmental genes. RESULTS: HPLC-MS/MS analysis identified 172 distinct histone PTMs in control fetal cortices and 168 PTMs in DS fetal cortical samples. Quantitative comparison of 22 quantifiable histone PTMs revealed that H3K79ac showed the most prominent reduction in DS samples, with a 34% decrease (P<0.05). Chromatin immunoprecipitation (ChIP)-seq verified specific H3K79ac occupancy at the genomic loci of three vital neurodevelopmental genes: TNFSF13B, NXPH1 and CAMK4. Correspondingly, qRT-PCR revealed aberrant transcription levels of these three genes in DS fetal cortices. CONCLUSIONS: This study establishes the first quantitative landscape of histone PTMs in in DS fetal cortical tissues. We demonstrate that depleted H3K79ac acts as a candidate epigenetic driver of DS neuropathology by disrupting the transcription of critical neurodevelopmental genes. This work reveals a novel epigenetic mechanism and a promising therapeutic target for DS-related neurodevelopmental disorders.

Down syndrome (DS)

Intraoperative indocyanine green near-infrared fluorescence imaging for assessing testicular viability in pediatric testicular torsion: A retrospective study.

OBJECTIVE: To evaluate the clinical efficacy of indocyanine green near-infrared fluorescence (ICG-NIRF) imaging versus conventional surgery for assessing testicular viability and guiding decision-making in pediatric testicular torsion (TT). METHODS: A retrospective analysis was performed on 225 pediatric patients undergoing emergency scrotal exploration for TT between January 2019 and January 2025. Patients were categorized into a conventional surgery group (n = 118) relying on visual grading and an ICG-NIRF imaging group (n = 107). Primary outcomes included intraoperative testicular preservation rates and postoperative success rates. Multivariate Cox regression was utilized to identify factors influencing testicular preservation. RESULTS: Baseline characteristics were comparable between groups. The ICG-NIRF group demonstrated a significantly higher intraoperative preservation rate (74.77% vs. 61.02%, p = 0.028) and postoperative success rate (88.75% vs. 69.44%, p = 0.003) compared to the conventional group. Additionally, the ICG-NIRF group exhibited significantly lower rates of secondary orchiectomy (1.25% vs. 9.72%, p = 0.027) and 6-month testicular atrophy (7.59% vs. 23.08%, p = 0.02). Multivariate analysis confirmed ICG-NIRF application as an independent protective factor for testicular preservation (HR = 0.556, p < 0.001). CONCLUSION: ICG-NIRF imaging provides an objective, real-time assessment of testicular perfusion, significantly improving testicular preservation rates and postoperative outcomes. This technique overcomes the subjectivity of conventional visual methods, offering substantial clinical value for fertility preservation in pediatric TT.

Humans

The genome of Thesium ramosoides (Santalales) reveals evolutionary dynamics associated with parasitism and alpine adaptation.

Plant species adapting to complex environments experience contrasting selection pressures that drive the expansion and contraction of different gene families. However, few studies have investigated simultaneous genomic responses to such diverse selective forces. Here, we generate a high-quality genome assembly for the hemiparasitic plant Thesium ramosoides, the first for the largest genus in the Santalales, and explore the genomic basis underlying the evolution of parasitism and alpine adaptation. Unlike many other parasitic plants, the Thesium genome has not undergone additional rounds of whole-genome duplication, making it particularly tractable for studying gene family evolution. Our analyses reveal substantial loss of photosynthesis-related genes and contraction of biotic defense gene families, likely reflecting adaptation to a hemiparasitic lifestyle and reduced pathogen pressure at high altitudes. The absence of key root hair development genes correlates with the degenerate root hair phenotype observed in this species. Furthermore, hallmarks of high-altitude adaptation include the expansion of gene families involved in responses to hypoxia. Notably, expansion of gene families associated with meristem development is consistent with the presence of below-ground crown buds that enable rapid regeneration after mountain fires. Unexpectedly, we detected tandem duplication and diversification of the strigolactone receptor gene D14, which regulates secondary shoot formation, but not of its ancestral paralog KAI2, which mediates seed germination in response to the smoke-derived compound karrikin. This finding suggests divergent signaling mechanisms underlying fire adaptation across different parasitic plant lineages. By integrating time-series transcriptomic data, we propose a post-fire "defense first, repair later, recovery last" model, in which resources are reallocated from immediate defense to rapid repair and ultimately to long-term recovery, to explain the adaptation of T. ramosoides to fire-prone habitats. Our study provides critical insights into the complex and contrasting genomic dynamics that drive adaptation to multiple co-occurring selection pressures.

Genome, Plant

Comprehensive Analysis of miRNAs and Predicted Protein Interaction Networks in Skeletal Muscle Development of Myostatin-Deficient Rabbits.

Myostatin (MSTN), encoded by the MSTN gene, is a critical negative regulator of skeletal muscle mass. This study aims to identify and characterize the miRNAs involved in the development of the double-muscling phenotype in MSTN-deficient rabbits. We performed high-throughput sequencing to analyze the miRNA expression profiles in gluteus maximus tissue from wild type (MSTN+/+) and MSTN-KO (MSTN+/- and MSTN-/- inclusive) rabbits. Differentially expressed miRNAs (DEmiRNAs) were identified, and their potential target genes were predicted. Functional enrichment analysis of these target mRNAs was conducted using Gene Ontology (GO) and the Kyoto Encyclopedia of Genes and Genomes (KEGG) database to elucidate the involved biological pathways and regulatory networks. A total of 25 DEmiRNAs (13 downregulated and 12 upregulated, |log2FC|&#x2009;&#x2265;&#x2009;1.0, adjusted p&#x2009;<&#x2009;0.05) and 1178 differentially expressed mRNAs (408 upregulated and 770 downregulated, |log2FC|&#x2009;&#x2265;&#x2009;2.0, adjusted p&#x2009;<&#x2009;0.05) were identified in MSTN-KO compared to MSTN+/+ rabbits. Bioinformatics analysis revealed that the target genes of these DEmiRNAs were significantly enriched in key pathways governing muscle growth and metabolism, including the PI3K-Akt signaling pathway, MAPK signaling pathway, and pathways related to ECM-receptor interaction and insulin signaling. Notably, many predicted target mRNAs are expressed by genes that encode key inhibitors of myogenesis (e.g., HDAC4) and major extracellular matrix components (e.g., COL4A3, POSTN). Our results demonstrate that MSTN deficiency induces a distinct and widespread change in the miRNA expression landscape of skeletal muscle.

Animals

Dissecting genetic architecture and improving machine learning&#x2011;based genomic prediction of flowering time in Osmanthus fragrans by integrating structural variants.

Sweet osmanthus (Osmanthus fragrans), a traditional ornamental plant in China, exhibits substantial variation in autumn flowering time, which significantly affects landscape application and cultivation efficiency. Here, we performed a genome-wide association study on 127 resequenced accessions classified into early, intermediate, and late flowering types, using a set of 2,325,410 single-nucleotide polymorphisms (SNPs) and 246,824 structural variants (SVs). By integrating SNP/insertion and deletion (Indel) and SV data with weighted gene co-expression network analysis, machine learning, and genomic prediction, we dissected the genetic architecture of flowering time. We identified 24 associated SNP/Indels and six SVs, mapping to 30 candidate genes, including known flowering regulators FLK, LOS1, Y14, MIF2, and GID1B. These genes showed tissue-specific expression, with some responding to low temperature. The two hub genes, GUX1 and LYG027904, were located within modules of the co-expression network associated with low-temperature treatment. Haplotype analysis revealed a specific three-SNP haplotype associated with late flowering and linked to LOS1, and epistatic interactions among combined genotypes contributed to phenotypic variation. Notably, integrating SVs with SNP/Indels improved genomic prediction accuracy; the gradient boosting decision tree model outperformed other machine learning algorithms, achieving a mean accuracy of 0.859 and an AUC&#xa0;>&#xa0;0.8 (where AUC is area under receiver operating characteristic curve) for all flowering types. These findings provide insights into the genetic mechanisms underlying flowering time variation in O. fragrans, offer candidate genes and haplotypes for molecular breeding, and highlight the value of integrating SVs with machine learning for genomic prediction in woody ornamentals.

Machine Learning

Proteomic-based identification of novel EV-derived protein antibodies biomarkers for melioidosis diagnosis.

Melioidosis, caused by Burkholderia pseudomallei (Bp), is a life-threatening disease characterized by diverse clinical manifestations and limited diagnostic capabilities. Extracellular vesicles (EVs) have emerged as critical carriers of novel antibody targets for serodiagnosis. In this study, we established a Bp-infected BEAS-2B cell model (Bp/BEAS-2B) and isolated EV from both Bp and Bp/BEAS-2B cells to generate EV proteome, identifying potential antigenic biomarkers for melioidosis diagnosis. Bioinformatics analysis identified PPEP and POMCR proteins as candidate antigens, with BLF1 and omp A serving as positive controls. Using a self-developed IgM-ELISA, serum samples from 43 melioidosis patients and 47 healthy volunteers were analyzed to detect antibodies against these antigens. Anti-POMCR IgM demonstrated exceptional diagnostic performance, with an AUC of 0.9872 (95% CI: 0.9713-1.003), sensitivity of 93.02% and specificity of 97.92% at a cutoff value of OD450&#x2009;=&#x2009;0.118. Similarly, IgM against PPEP, BLF1, and omp A also showed high diagnostic accuracy, with AUC values of 0.969, 0.9621, and 0.976, respectively. The accuracy of anti-POMCR and anti-PPEP were 96.43% and 95.54%, respectively, equivalent to anti-omp A (93.75%) and anti-BLF1 (91.96%). Antibodies to EV-derived proteins effectively differentiated melioidosis patients from other bacterial infections and healthy volunteers, highlighting their clinical potential as diagnostic tools for melioidosis.

Humans

HnRNPR promotes non-small cell lung cancer progression by protecting XB130 mRNA from XRN1- and DIS3L2-mediated degradation.

The adaptor protein XB130 is critically implicated in tumorigenesis. However, the mechanisms regulating its expression in tumors are not well understood. Our previous studies have identified hnRNPR as a potential binding protein of XB130 3'UTR in non-small cell lung cancer (NSCLC). This study aimed to clarify hnRNPR's role in NSCLC progression and its specific mechanisms regulating XB130 expression. The expression of hnRNPR in NSCLC and normal tissues was assessed using NSCLC tissue microarray and the TCGA database. Subsequently, in vitro and in vivo experiments were conducted to investigate the impact of hnRNPR on NSCLC cell proliferation and epithelial-mesenchymal transition (EMT) by modulating XB130 expression. The underlying molecular mechanisms of hnRNPR regulating XB130 expression were explored utilizing a range of molecular biology techniques including Western blotting, Real-time quantitative PCR, Immunohistochemistry, Dual-luciferase reporter assay, RNA pull-down assay, and RNA immunoprecipitation. We identified the overexpression of hnRNPR in NSCLC, with heightened hnRNPR levels significantly associated with poor prognosis in patients with lung adenocarcinoma. Functionally, hnRNPR overexpression promoted NSCLC cell proliferation and EMT and activated the Akt signaling pathway. Mechanistically, hnRNPR protected XB130 mRNA from XRN1- and DIS3L2-mediated degradation by binding to specific regions within XB130 3'UTR, consequently elevating XB130 expression. Lastly, XB130 overexpression counteracted the effects of hnRNPR silencing on NSCLC cells. Overall, our study unveils the potential of targeting the hnRNPR/XB130 axis as a promising therapeutic strategy for NSCLC.

Humans