Publications by authors named "Hankun Xie"

Platelet-derived growth factors (PDGFs) and receptors (PDGFR) play a key role in the process of coronary atherosclerosis. We aimed to investigate the association of genetic variations and mRNA expressions of PDGF/PDGFRB pathway genes with coronary artery disease (CAD). In this case-control study (3139 CAD vs.

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Article Synopsis
  • - Chronic kidney disease (CKD) is a significant public health issue in China, particularly impacting women, and the study investigates genetic factors affecting renal function using a more accurate measurement method, eGFR based on both creatinine and cystatin C.
  • - A Genome-Wide Association Study (GWAS) involving 1,983 Chinese women analyzed over 3.8 million genetic variants to explore their relationship with eGFRcr-cys, revealing one significant locus and two new suggestive loci linked to renal function.
  • - The research identified three critical genetic variants associated with eGFRcr-cys, providing new insights into the biological mechanisms affecting kidney health and potential avenues for better diagnoses and treatments for CKD in the
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Hypertension (HT) is a major risk factor for cardiovascular diseases. Krüppel-like factors (KLFs) are important transcription factors in eukaryotes. Studies have reported that KLF4 and KLF5 are correlated with several cardiovascular diseases, whereas population studies for associations between HT and KLF4 or KLF5 have been rarely reported.

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Background: Long noncoding RNA (lncRNA) and mRNA profiles in leukocytes have shown potential as biomarkers for acute ischemic stroke (AIS). This study aimed to identify altered lncRNA and target mRNA profiles in peripheral blood leukocytes as biomarkers and to assess the diagnostic value and association with AIS prognosis.

Methods And Results: Differentially expressed lncRNAs (DElncRNAs) and differentially expressed target mRNAs (DEmRNAs) were screened by RNA sequencing in the discovery set, which consisted of 10 patients with AIS and 20 controls.

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Background: Dyslipidemia and inflammation are significant factors for the onset of cardiovascular diseases (CVD); however, studies regarding their interactions on the risk of CVD are scarce. This study aimed to assess the interaction of dyslipidemia and high-sensitivity C-reactive protein (hs-CRP) on CVD.

Methods: This prospective cohort enrolled 4,128 adults at baseline in 2009 and followed them up until May 2022 for collecting CVD events.

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To explore the influence of age on hs-CRP among men and women and investigate the impact of hs-CRP on all-cause death, this prospective cohort enrolled 4128 community adults from 2009 to 2022 for all-cause death. Age and sex-specific hs-CRP percentile curves were generated using the GAMLSS method. Cox-proportional hazard regression analysis was applied to estimate the hazard ratios (HRs) and 95 % confidence intervals (CIs).

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Background: Dyslipidemia and hypertension are both important risk factors for atherosclerotic cardiovascular diseases. However, the relationship between dyslipidemia and incident hypertension remains to be elucidated comprehensively. The main purpose of this study was to construct the lipid risk score to explore the risk prediction effect of integrated lipid indices on new-onset hypertension.

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Background: Dyslipidemia and hypertension are two important independent risk factors for ischemic stroke (IS); however, their combined effect on IS remains uncertain.

Objectives: This present study aimed to evaluate the interaction effect of hypertension and abnormal lipid indices on IS in a 10-year prospective cohort in Chinese adults.

Methods: The cohort study of 4,128 participants was conducted in May 2009 and was followed up to July 2020.

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Objective: To elucidate the active compounds and the molecular mechanism of Cyathula Officinalis as a drug treatment for rheumatoid arthritis (RA).

Methods: The target genes of active ingredients from Cyathula Officinalis were obtained from bioinformatics analysis tool for the molecular mechanism of traditional Chinese medicine. The protein-protein interaction between the target genes were analyzed using STRING and Genemania.

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