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Your search keyword '"Huang, Zena"' showing total 16 results
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16 results on '"Huang, Zena"'

1. Exploration of Optimizing the Centralized Procurement Model in the Education Department

Author

Huang, Zena, Striełkowski, Wadim, Editor-in-Chief, Black, Jessica M., Series Editor, Butterfield, Stephen A., Series Editor, Chang, Chi-Cheng, Series Editor, Cheng, Jiuqing, Series Editor, Dumanig, Francisco Perlas, Series Editor, Al-Mabuk, Radhi, Series Editor, Scheper-Hughes, Nancy, Series Editor, Urban, Mathias, Series Editor, Webb, Stephen, Series Editor, Chen, Youbin, editor, Shen, Chaoqun, editor, and Rak, Joanna, editor

Published
2024
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3. Uncovering the Role of Anoikis-Related Genes in Modulating Immune Infiltration and Pathogenesis of Diabetic Kidney Disease

Author

Lin,Jiaqiong, Lin,Yan, Li,Xiaoyong, He,Fei, Gao,Qinyuan, Wang,Yuanjun, Huang,Zena, Xiong,Fu, Lin,Jiaqiong, Lin,Yan, Li,Xiaoyong, He,Fei, Gao,Qinyuan, Wang,Yuanjun, Huang,Zena, and Xiong,Fu

Abstract

Jiaqiong Lin,1,2 Yan Lin,3 Xiaoyong Li,4 Fei He,5 Qinyuan Gao,3 Yuanjun Wang,3 Zena Huang,3 Fu Xiong5,6 1Microbiome Medicine Center, Department of Laboratory Medicine, Zhujiang Hospital, Southern Medical University, Guangzhou, Guangdong, 510282, People’s Republic of China; 2Dongguan Maternal and Child Health Care Hospital, Postdoctoral Innovation Practice Base of Southern Medical University, Dongguan, People’s Republic of China; 3Yunkang School of Medicine and Health, Nanfang College, Guangzhou, People’s Republic of China; 4General Surgery Department; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 5Department of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China; 6Department of Fetal Medicine and Prenatal Diagnosis, Zhujiang Hospital, Southern Medical University, Guangzhou, People’s Republic of ChinaCorrespondence: Fu Xiong, Department of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China, Email xiongfu@smu.edu.cn Zena Huang, Yunkang School of Medicine and Health, Nanfang College, Guangzhou, 510970, People’s Republic of China, Email 506647168@qq.comBackground: Diabetic kidney disease (DKD) is an intricate complication of diabetes with limited treatment options. Anoikis, a programmed cell death activated by loss of cell anchorage to the extracellular matrix, participated in various physiological and pathological processes. Our study aimed to elucidate the role of anoikis-related genes in DKD pathogenesis.Methods: Differentially expressed genes (DEGs) associated with anoikis in DKD were identified. Weighted gene co-expres

Published
2024

4. Long daytime napping: A silent danger for hypertensive individuals.

Author

Wu, Jinhong, Liu, Lishun, Huang, Zena, Wang, Li, Cai, Fengjiao, Li, Aimin, Sun, Yong, Wang, Binyan, Li, Jianping, Huo, Yong, and Lu, Yan

Abstract

Background and purpose: Hypertension significantly contributes to stroke. Previous research has indicated a connection between daytime napping and stroke. Research on the connection between daytime napping duration and first stroke in hypertensive individuals is lacking nevertheless. Methods: This research, which ran from 24 August 2013 to 31 December 2022, recruited 11,252 individuals with hypertension and without a history of stroke from the China Stroke Primary Prevention Trial. To determine the relationship between daytime napping duration and stroke onset in hypertensive individuals, we conducted analyses for threshold effects, multivariate‐adjusted Cox proportional hazard regression models, and Kaplan–Meier survival curves. Results: The duration of daytime napping (<75 min) was positively correlated with stroke risk; beyond 75 min, the risk did not increase further. When compared to hypertensive individuals who napped for 1–30 min, daytime napping 31–60 min (hazard ratio [HR] = 1.27, 95% confidence interval [CI] = 1.06–1.53) and >60 min (HR = 1.37, 95% CI = 1.14–1.65) were substantially related with a greater risk of first stroke. Additionally, this correlation was absent in cases of hemorrhagic stroke, but present in cases of ischemic stroke, specifically for hypertensive individuals who napped for 31–60 min or >60 min (p < 0.05). Kaplan–Meier survival curves displayed that hypertensive individuals who extended daytime napping had an elevated incidence of stroke. Conclusions: Hypertensive individuals who take longer daytime naps (>30 min) are at an elevated risk of stroke onset, particularly ischemic stroke, irrespective of other factors. [ABSTRACT FROM AUTHOR]

Published
2024
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5. Uncovering the Role of Anoikis-Related Genes in Modulating Immune Infiltration and Pathogenesis of Diabetic Kidney Disease.

Author

Lin, Jiaqiong, Lin, Yan, Li, Xiaoyong, He, Fei, Gao, Qinyuan, Wang, Yuanjun, Huang, Zena, and Xiong, Fu

Subjects
APOPTOSIS, DISEASE progression, DIABETES complications, GENE regulatory networks, CELLULAR control mechanisms
Abstract

Background: Diabetic kidney disease (DKD) is an intricate complication of diabetes with limited treatment options. Anoikis, a programmed cell death activated by loss of cell anchorage to the extracellular matrix, participated in various physiological and pathological processes. Our study aimed to elucidate the role of anoikis-related genes in DKD pathogenesis. Methods: Differentially expressed genes (DEGs) associated with anoikis in DKD were identified. Weighted gene co-expression network analysis (WGCNA) was conducted to identify DKD-correlated modules and assess their functional implications. A diagnostic model for DKD was developed using LASSO regression and Gene set variation analysis (GSVA) was performed for enrichment analysis. Experimental validation was employed to validate the significance of selected genes in the progression of DKD. Results: We identified 10 anoikis-related DEGs involved in key signaling pathways impacting DKD progression. WGCNA highlighted the yellow module's significant enrichment in immune response and regulatory pathways. Correlation analysis further revealed the association between immune infiltration and anoikis-related DEGs. Our LASSO regression-based diagnostic model demonstrated a well-predictive efficacy with seven identified genes. GSVA indicated that gene function in the high-risk group was primarily associated with immune regulation. Further experimental validation using diabetic mouse models and data analysis in the single-cell dataset confirmed the significance of PYCARD and SFN in DKD progression. High glucose stimulation in RAW264.7 and TCMK-1 cells showed significantly increased expression levels of both Pycard and Sfn. Co-expression analysis demonstrated distinct functions of PYCARD and SFN, with KEGG pathway analysis showing significant enrichment in immune regulation and cell proliferation pathway. Conclusion: In conclusion, our study provides valuable insights into the molecular mechanisms involved in DKD pathogenesis, specifically highlighting the role of anoikis-related genes in modulating immune infiltration. These findings suggest that targeting these genes may hold promise for future diagnostic and therapeutic approaches in DKD management. [ABSTRACT FROM AUTHOR]

Published
2024
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6. A new hematological parameter model for the diagnosis and prognosis of sepsis in emergency department: A single‐center retrospective study.

Author

Zheng, Xiaohe, Zhao, Yating, Wang, Dong, Pan, Shiyao, Yushuaima, Huang, Zena, Ye, Manman, and Zhang, Shihong

Subjects
PREDICTIVE tests, RESPIRATORY organ sounds, URINARY tract infections, RISK assessment, MYCOSES, MONOCYTES, RECEIVER operating characteristic curves, ACADEMIC medical centers, T-test (Statistics), DATA analysis, RESPIRATORY infections, GRAM-positive bacterial infections, CORONARY disease, RESEARCH funding, NEUTROPHILS, LOGISTIC regression analysis, FISHER exact test, HYPERTENSION, SMOKING, HOSPITAL emergency services, RETROSPECTIVE studies, CALCITONIN, DESCRIPTIVE statistics, MANN Whitney U Test, CHI-squared test, HEART failure, HEMATOLOGY, BODY temperature, HEART beat, ODDS ratio, CHRONIC kidney failure, SEPSIS, STATISTICS, MEDICAL records, ACQUISITION of data, EARLY diagnosis, ANALYTICAL chemistry techniques, DATA analysis software, TACHYPNEA, GRAM-negative bacterial diseases, CONFIDENCE intervals, TUMORS, BIOMARKERS, SENSITIVITY & specificity (Statistics), C-reactive protein, DISEASE incidence, PROPORTIONAL hazards models, DIABETES, EVALUATION, DISEASE risk factors
Abstract

Introduction: Sepsis, a syndrome of organ dysfunction caused by an unregulated host response to infection. This study aimed to develop a novel sepsis diagnostic model of hematological parameters and evaluate its effectiveness in the early identification and prognosis of sepsis in emergency departments. Methods: A retrospective study was conducted in Emergency Department. Cell population data parameters related to monocytes and neutrophils were obtained using the Mindary BC‐6800 plus hematology analyzer. Receiver operating characteristic (ROC) curve analysis, logistic regression analysis was performed to assess the performance of the parameters and establish a diagnostic and prognostic model of sepsis, which was then verified with a validation cohort. Results: Mon_XW exhibited the best diagnostic performance (area under the ROC curve [AUC] = 0.848, 95% confidence interval [CI]: 0.810–0.885, p < 0.001), followed by Neu_Y and Neu_YW (AUC = 0.777 95% CI: 0.730–0.824, p < 0.001). Logistic regression analysis identified Mon_XW and Neu_Y as independent predictors, which were used to establish a diagnostic model named hematological parameter for sepsis (HPS). HPS demonstrated the best diagnostic performance with an AUC of 0.862 (95% CI: 0.826–0.898, p < 0.001), sensitivity of 70.0%, and specificity of 87.1%, compared to C‐reactive protein (CRP) and procalcitonin (PCT). The validation cohort also found that the positive predictive value of HPS was 70.4% and the negative predictive value was 92.2%. Conclusion: The developed HPS model showed promising diagnostic efficacy for sepsis in the emergency department, which outperformed CRP and PCT in terms of sensitivity and specificity. By enabling early identification and prognosis of sepsis, that contributes to reducing sepsis‐related mortality. [ABSTRACT FROM AUTHOR]

Published
2024
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9. Unveiling FOS as a Potential Diagnostic Biomarker and Emetine as a Prospective Therapeutic Agent for Diabetic Nephropathy

Author

Lin,Jiaqiong, Li,Xiaoyong, Lin,Yan, Huang,Zena, He,Fei, Xiong,Fu, Lin,Jiaqiong, Li,Xiaoyong, Lin,Yan, Huang,Zena, He,Fei, and Xiong,Fu

Abstract

Jiaqiong Lin,1 Xiaoyong Li,2 Yan Lin,3 Zena Huang,3 Fei He,4 Fu Xiong4,5 1Dongguan Maternal and Child Health Care Hospital, Postdoctoral Innovation Practice Base of Southern Medical University, Dongguan, People’s Republic of China; 2General Surgery Department; Guangdong Provincial Key Laboratory of Major Obstetric Diseases; Guangdong Provincial Clinical Research Center for Obstetrics and Gynecology; The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 3Yunkang School of Medicine and Health, Nanfang College, Guangzhou, People’s Republic of China; 4Department of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China; 5Department of Fetal Medicine and Prenatal Diagnosis, Zhujiang Hospital, Southern Medical University, Guangzhou, People’s Republic of ChinaCorrespondence: Fu Xiong, Department of Medical Genetics/Experimental Education/Administration Center, School of Basic Medical Sciences, Southern Medical University, Guangzhou, 510515, People’s Republic of China, Email xiongfu@smu.edu.cnBackground: Diabetic nephropathy (DN) is one of the primary causes of end-stage renal disease, yet effective therapeutic targets remain elusive. This study aims to identify novel diagnostic biomarkers and potential therapeutic candidates for DN.Methods: Differentially expressed genes (DEGs) in GSE96804 and GSE142025 were identified and functional enrichment analysis was performed. Diagnostic biomarkers were selected using machine learning algorithms and evaluated by Receiver Operating Characteristic analysis. c-Fos expression was validated in an established DN mouse model. Immune infiltration levels were assessed with Single-Sample Gene Set Enrichment Analysis. Co-expression analysis revealed regulatory relationships involving FOS. cMAP predicted potential therapeutic candidates. Transcriptome sequencing and exp

Published
2023

15. Icariin and Competing Endogenous RNA Network: A Potential Protective Strategy Against Contrast-Induced Acute Kidney Injury

Author

Lin,Yan, Zhu,Gaofeng, Li,Xiaoyong, Yu,Huaxiao, Luo,Yuhang, Lin,Jiaqiong, Li,Renyuan, Huang,Zena, Lin,Yan, Zhu,Gaofeng, Li,Xiaoyong, Yu,Huaxiao, Luo,Yuhang, Lin,Jiaqiong, Li,Renyuan, and Huang,Zena

Abstract

Yan Lin,1,2,&ast; Gaofeng Zhu,3,&ast; Xiaoyong Li,4,&ast; Huaxiao Yu,5 Yuhang Luo,5 Jiaqiong Lin,6 Renyuan Li,7 Zena Huang2 1Department of Nephrology, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 2Yunkang School of Medicine and Health, Nanfang College, Guangzhou, People’s Republic of China; 3Department of General Medicine, Guangdong Provincial People’s Hospital, Guangdong Academy of Medical Sciences, Guangzhou, People’s Republic of China; 4Department of General Surgery, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China; 5The Third Clinical School, Guangzhou Medical University, Guangzhou, People’s Republic of China; 6Affiliated Dongguan Maternal and Child Healthcare Hospital, Southern Medical University, Guangzhou, People’s Republic of China; 7Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China&ast;These authors contributed equally to this workCorrespondence: Zena Huang, Yunkang School of Medicine and Health, Nanfang College, Guangzhou, People’s Republic of China, Tel +86-13570466614, Email huangzn@nfu.edu.cn Renyuan Li, Department of Endocrinology and Metabolism, The Third Affiliated Hospital of Guangzhou Medical University, Guangzhou, People’s Republic of China, Tel +86-18926146852, Email lirenyuan@gzhmu.edu.cnBackground: Icariin presents protective effect in several kidney diseases. However, the role of icariin in contrast-induced acute kidney injury (CIAKI) is still unclear. This study aimed to investigate the effect of icariin in CIAKI, as well as exploring the underlying mechanism from the aspect of interaction between protein-coding genes and non-coding RNAs.Methods: The effect of icariin was evaluated in both in vivo and in vitro CIAKI models. Rat kidneys were collected for genome-wide sequencing. The differentially expressed

Published
2022

16. Living Cell Nanoporation and Exosomal RNA Analysis Platform for Real-Time Assessment of Cellular Therapies

Author

Sheng, Yan, primary, Huang, Zena, additional, Zhang, Tenghua, additional, Qian, Feiyang, additional, Zhu, Yuqing, additional, Dong, Zaizai, additional, Zhang, Qingyang, additional, Lei, Qi, additional, Kong, Fanhui, additional, Wang, Yuqiong, additional, Walden, Maddie, additional, Wuttke, Stefan, additional, Chang, Lingqian, additional, Zhu, Wei, additional, and Hu, Jiaming, additional

Published
2022
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