Publications by authors named "Zhengqi Qiu"

Background: Primary ovarian insufficiency (POI) is a critical cause of infertility and is increasingly recognized as a complex metabolic disorder. Dietary factors may influence the risk of POI, but causal relationships remain unclear.

Methods: We conducted an MR study using genetic instrumental variables for 83 dietary preferences from the UK Biobank, with the Inverse Variance Weighted method as the primary analysis.

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Extrachromosomal circular DNA (eccDNA),a type of circular DNA that has a nucleosomal structure, is widely distributed in eukaryotic chromosomes and has been found to modulate genome instability and plasticity, playing a role in regulating gene expression and genome evolution. To comprehensively outline the stages of eccDNA research development, including author collaborations, research topics and hotspots, and their temporal evolution trends, we conducted a bibliometric analysis of 242 publications related to eccDNA research published from 2008 to 2023 in the Web of Science Core Collection. The bibliometric analysis was performed using CiteSpace, the R package Bibliometrix, and VOSviewer.

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Background: Cardiovascular disease continues to be a leading cause of mortality worldwide, highlighting the need to explore innovative approaches to improve cardiovascular health outcomes. Time-restricted fasting (TRF) is a dietary intervention that involves limiting the time window for food consumption. It has gained attention for its potential benefits on metabolic health and weight management.

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Objective: This study aimed to investigate the potential causal relationship between screen time and the risk of developing type 2 diabetes mellitus (T2DM) using Mendelian randomization.

Methods: Two-sample Mendelian randomization was conducted, utilizing genetic variants associated with different types of screen time as instrumental variables. Single nucleotide polymorphisms (SNPs) were used to assess the primary outcome, which was the risk of developing T2DM.

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Background: Long-COVID (LC) refers to post-acute COVID-19 symptoms that can last for months or longer after the initial infection, affecting the physical health of infected patients. This study aims to investigate the association between the symptomology of LC and the mental health of patients in China. It also aims to examine the relationship between the perceived symptom burden and mental health of these patients.

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Acute myeloid leukemia (AML), a malignant clonal disease, is the most prevalent form of leukemia, and it is associated with a poor prognosis and unfavorable treatment outcomes in both pediatric and adult populations. Accordingly, enhancing anti-tumor responses using immunomodulators is a promising therapeutic strategy and a new avenue for treating AML. In this study, we used publicly available data from The Cancer Genome Atlas and Genotype-Tissue Expression databases to investigate the correlation between SAM and SH3 domain-containing 3 (SASH3) and AML, and we performed Cox regression and Kaplan-Meier analyses to assess the clinical characteristics associated with overall survival among patients with AML.

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Background And Aims: Coronary artery disease (CAD), heart failure (HF), and ischemic heart disease (IHD) are three common cardiovascular diseases that are closely associated with metabolic activity. The global incidence and prevalence of these conditions are on the rise, primarily due to unhealthy lifestyles, aging populations, and the increasing prevalence of obesity and diabetes. Excessive screen time has emerged as a potential risk factor for various adverse health outcomes, although limited research has explored its relationship with cardiovascular disease outcomes.

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The process of aging is marked by a gradual deterioration in the physiological functions and functional reserves of various tissues and organs, leading to an increased susceptibility to diseases and even death. Aging manifests in a tissue- and organ-specific manner, and is characterized by varying rates and direct and indirect interactions among different tissues and organs. Cardiovascular disease (CVD) is the leading cause of death globally, with older adults (aged >70 years) accounting for approximately two-thirds of CVD-related deaths.

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Background: The effects of realgar against non-small cell lung cancer (NSCLC) have been massively studied, but the direct therapeutic targets of realgar remain unclear. This study aimed to identify the molecular targets of realgar against NSCLC and explore their therapeutic mechanisms based on a network pharmacology approach and experimental validations.

Methods: The BATMAN-TCM and Digsee databases were used to predict realgar targets and NSCLC-related genes, respectively.

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This study attempts to evaluate the prognostic role of PHYH for overall survival (OS) in clear cell renal cell carcinoma (ccRCC) by means of publicly available data from The Cancer Genome Atlas (TCGA). Clinical pathologic features and PHYH expression were downloaded from the TCGA database and relationships between them were analyzed by univariate and multivariate Cox regression analyses. Gene Set Enrichment Analysis (GSEA) and gene-gene interactions were also performed between tissues with different PHYH expression levels.

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