Publications by authors named "Zongyao Ren"

Introduction: Oral cancer represents a significant proportion of head and neck malignancies, accounting for approximately 3 % of all malignant tumors worldwide.

Objectives: Alternative splicing (AS), a post-transcriptional regulatory mechanism, is increasingly linked to cancer development. The precise impact of AS on oral cancer progression is not well understood.

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In the present era, noncoding RNAs (ncRNAs) have become a subject of considerable scientific interest, with peptides encoded by ncRNAs representing a particularly promising avenue of investigation. The identification of ncRNA-encoded peptides in human cancers is increasing. These peptides regulate cancer progression through multiple molecular mechanisms.

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Long non‑coding (lnc)RNAs participate in colorectal cancer (CRC) occurrence and progression. The present study aimed to investigate whether lncRNA ABHD11‑AS1 regulates malignant biological behavior of CRC cells. Bioinformatic analysis, reverse transcription‑quantitative PCR and hybridization revealed that ABHD11‑AS1 expression was decreased in CRC samples and associated with an unfavorable prognosis.

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Oral cancer ranks among the most common malignancies within the head and neck region; however, its etiology remains inadequately understood despite substantial research advances in recent years. Many studies highlight the regulatory role of circular RNAs (circRNAs) in human cancers, suggesting their potential as cancer biomarkers. However, their specific mechanisms in oral cancer are not well understood.

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  • Research highlights the genetic factors linked to schizophrenia (SCZ) through brain expression quantitative trait loci (eQTLs), primarily focusing on European populations, which limits insights into diverse populations.
  • A comparative analysis across African Americans, Europeans, and East Asians revealed distinct eQTL patterns, with over 343,000 eQTLs unique to non-European groups, largely driven by differences in allele frequency.
  • This study suggests that increasing diversity in genetic ancestry, rather than just sample size, can enhance understanding of SCZ's genetic basis and aid in identifying risk genes associated with the disorder.
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  • Restructuring meat products enhances material utilization and economic efficiency by combining smaller meat pieces or granules into larger forms, optimizing their structure, appearance, nutrient retention, and flavor enhancement.
  • The study reviews various commonly used adhesives in meat recombination technology, including transglutaminase and gelatin, alongside processing technologies like high-pressure and 3D printing, focusing on their principles and safety.
  • The analysis covers the advantages, challenges, and future prospects of bonding techniques in restructured meat, offering insights for further research in the field.
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  • Research on brain expression quantitative trait loci (eQTLs) has primarily focused on European populations, leaving gaps in understanding genetic risks for schizophrenia in diverse populations.
  • A study analyzing data from African Americans, Europeans, and East Asians discovered that many eQTLs linked to schizophrenia risk are unique to non-European populations, highlighting significant differences due to allele frequency.
  • The research identified new risk genes and regulatory variants that were overlooked in European studies, suggesting that increasing genetic diversity in research samples is crucial for better understanding schizophrenia's biological mechanisms and identifying additional risk factors.
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Previous studies have demonstrated that diallyl disulfide (DADS) exhibits potent anti-tumor activity. However, the pharmacological actions of DADS in inhibiting the growth of colorectal cancer (CRC) cells have not been clarified. Herein, we show that DADS treatment impairs the activation of the pentose phosphate pathway (PPP) to decrease PRPP (5-phosphate ribose-1-pyrophosphate) production, enhancing DNA damage and cell apoptosis, and inhibiting the growth of CRC cells.

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Intellectual disability (ID) is a condition characterized by cognitive impairment and difficulties in adaptive functioning. In our research, we identified two de novo mutations (c.955C>T and c.

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Psychological stress increases the risk of major psychiatric disorders. Psychological stress on mice was reported to induce differential gene expression (DEG) in mice brain regions. Alternative splicing is a fundamental aspect of gene expression and has been associated with psychiatric disorders but has not been investigated in the stressed brain yet.

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Schizophrenia (SCZ) and bipolar disorder (BPD) are associated with abnormal expression of immune-related factors (IRFs), which have been proposed as biomarkers of either disease diagnosis (trait markers) or treatment (state markers). However, the state markers have been found to be less reproducible than the trait markers in previous studies. In the current study, we focused on the changes of IRFs in blood of SCZ and BPD patients receiving monotherapy.

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Accumulating evidence suggests that inflammation is present in solid tumors. However, it is poorly understood whether inflammation exists in glioma and how it affects the metabolic signature of glioma. By analyzing immunohistochemical data and gene expression data downloaded from bioinformatic datasets, the present study revealed an accumulation of inflammatory cells in glioma, activation of microglia, upregulation of proinflammatory factors (including IL‑6, IL‑8, hypoxia‑inducible factor‑1α, STAT3, NF‑κB1 and NF‑κB2), destruction of mitochondrial structure and altered expression levels of electron transfer chain complexes and metabolic enzymes.

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Genome-wide association studies (GWASs) have identified numerous single nucleotide polymorphisms (SNPs) associated with bipolar disorder (BD), but what the causal variants are and how they contribute to BD is largely unknown. In this study, we used FUMA, a GWAS annotation tool, to pinpoint potential causal variants and genes from the latest BD GWAS findings, and performed integrative analyses, including brain expression quantitative trait loci (eQTL), gene coexpression network, differential gene expression, protein-protein interaction, and brain intermediate phenotype association analysis to identify the functions of a prioritized gene and its connection to BD. Convergent lines of evidence prioritized protein-coding gene G Protein Nucleolar 3 (GNL3) as a BD risk gene, with integrative analyses revealing GNL3's roles in cell proliferation, neuronal functions, and brain phenotypes.

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