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43 results on '"Mai, Yifeng"'

20. Predictive value of noninvasive peripheral atherosclerosis measurement for coronary artery disease in patients with long T2DM duration

Author

Chen,Wanjiao, Wang,Li, Hu,Bin, Zheng,Ying, Zhang,Shuya, Zhou,Zhong, and Mai,Yifeng

Subjects
Pharmacology, Diabetes, Metabolic Syndrome and Obesity, Internal Medicine
Abstract

Wanjiao Chen,1 Li Wang,1 Bin Hu,1 Ying Zheng,1 Shuya Zhang,1 Zhong Zhou,2 Yifeng Mai2 1Health Science Center, Ningbo University, Ningbo, 315020 People’s Republic of China; 2The First Affiliated Hospital of Ningbo University, Ningbo, 315020, People’s Republic of ChinaCorrespondence: Zhong Zhou; Yifeng Mai, The First Affiliated Hospital of Ningbo University, 247 Renmin Road, Jiangbei District, Ningbo, Zhejiang Province, 315020, People’s Republic of China, Tel +8613736099999, Email zhouz70@163.com; fymaiyifeng@nbu.edu.cnObjective: This study aimed to compare the predictive value of carotid or femoral artery ultrasound for coronary artery disease (CAD) in type 2 Diabetes mellitus (T2DM) patients free from known CAD, and to assess the relationship with the severity of coronary artery stenosis.Methods: Cross-sectional study in adults with a T2DM duration of at least 5 years and without established CAD. Carotid plaque score (CPS) and Gensini score were used to measure the severity of carotid and coronary artery stenosis, respectively, and patients were divided into no or mild group, moderate group, and severe group according to the tertile of the score. Univariate and multivariate logistic regression analysis was used to explore the possible risk factors for CAD. Receiver operating characteristic (ROC) curves were created to determine the most accurate assessment for detecting significant CAD (≥ 50% stenosis).Results: 245 patients (137 male) aged 68.21± 9.5 years (range: 36– 95 years), with T2DM duration 12.04± 6.17 years (range: 5– 34 years), and without CVD were included. CAD was diagnosed in 165 patients (67.3%). Multiple regression analysis showed that CPS, femoral plaque, and smoking were independently and positively correlated with CAD. CPS yielded the highest area under the curve for detecting significant coronary disease (AUC=0.7323). In contrast, the area under the curve of femoral artery plaque and carotid intima-media thickness was lower than 0.7, which was at a lower prediction level.Conclusion: In patients with long T2DM duration, CPS has a higher ability to predict the occurrence and severity of CAD. However, femoral artery plaque has special value in predicting moderate to severe coronary artery disease in patients with long-term T2DM.Keywords: peripheral atherosclerosis, coronary artery disease, type 2 diabetes mellitus, Gensini score, carotid plaque score, femoral artery plaque

Published
2022

23. Noncoding RNAs in Diabetic Nephropathy: Pathogenesis, Biomarkers, and Therapy

Author

Lv, Jiarong, Wu, Yu, Mai, Yifeng, and Bu, Shizhong

Subjects
Article Subject
Abstract

The correlation between diabetes and systematic well-being on human life has long established. As a common complication of diabetes, the prevalence of diabetic nephropathy (DN) has been increasing globally. DN is known to be a major cause of end-stage kidney disease (ESKD). Till now, the molecular mechanisms for DN have not been fully explored and the effective therapies are still lacking. Noncoding RNAs are a class of RNAs produced by genome transcription that cannot be translated into proteins. It has been documented that ncRNAs participate in the pathogenesis of DN by regulating inflammation, apoptosis, autophagy, cell proliferation, and other pathological processes. In this review, the pathological roles and diagnostic and therapeutic potential of three types of ncRNAs (microRNA, long noncoding RNA, and circular RNA) in the progression of DN are summarized and illustrated.

Published
2020
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27. Applications of inorganic nanoparticles in the diagnosis and therapy of atherosclerosis

Author

DaiThese authors contributed equally to this work., Ting, He, Wenming, Yao, Chenyang, Ma, Xuehua, Ren, Wenzhi, Mai, Yifeng, and Wu, Aiguo

Abstract

Atherosclerosis is a chronic progressive disease, which may result in serious clinical outcomes, such as acute heart events or stroke with high mortality. At present, the clinical problems of atherosclerosis mainly consist of the difficulty in confirming the plaques or identifying the stability of the plaques in the early phase and the shortage of valid treatments. Fortunately, with the development of nanotechnology, various inorganic nanoparticles with imaging enhancement and noninvasive therapy functions have been studied in the imaging and treatment of atherosclerosis, which has brought new hope to patients. This review focuses on the recent progress in the use of inorganic nanoparticles in the diagnosis and therapy of atherosclerosis, including the key processes in the development of atherosclerosis and the mainly involved cells, inorganic nanoparticle-based dual-mode imaging methods classified by the types of targeting cells, and inorganic nanoparticle-based therapeutic approaches, such as photothermal therapy (PTT), photodynamic therapy (PDT), sonodynamic therapy (SDT), drug delivery, gene therapy and imaging-guided therapy for atherosclerosis. Finally, this review discusses the challenges and directions of inorganic nanoparticles in potential clinical translation of anti-atherosclerosis in future. We believe this review will enable readers to systematically understand the progress of the inorganic nanoparticle-based imaging and therapy of atherosclerosis and therefore promote the further development of anti-atherosclerosis.

Published
2020
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30. Elevated CpG island methylation of GCK gene predicts the risk of type 2 diabetes in Chinese males

Author

Tang, Linlin, primary, Ye, Huadan, additional, Hong, Qingxiao, additional, Wang, Lingyan, additional, Wang, Qinwen, additional, Wang, Hongwei, additional, Xu, Leiting, additional, Bu, Shizhong, additional, Zhang, Lina, additional, Cheng, Jia, additional, Liu, Panpan, additional, Le, Yanping, additional, Ye, Meng, additional, Mai, Yifeng, additional, and Duan, Shiwei, additional

Published
2014
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32. BCL11A gene DNA methylation contributes to the risk of type 2 diabetes in males

Author

TANG, LINLIN, primary, WANG, LINGYAN, additional, YE, HUADAN, additional, XU, XUTING, additional, HONG, QINGXIAO, additional, WANG, HONGWEI, additional, XU, LEITING, additional, BU, SHIZHONG, additional, ZHANG, LINA, additional, CHENG, JIA, additional, LIU, PANPAN, additional, YE, MENG, additional, MAI, YIFENG, additional, and DUAN, SHIWEI, additional

Published
2014
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36. Prediabetes Is Associated withHNF-4αP2 Promoter Polymorphism rs1884613: A Case-Control Study in Han Chinese Population and an Updated Meta-Analysis

Author

Wang, Changyi, primary, Chen, Sihan, additional, Zhang, Tao, additional, Chen, Zhongwei, additional, Liu, Shengyuan, additional, Peng, Xiaolin, additional, Ma, Jianping, additional, Zhong, Xiaohong, additional, Yan, Yanqiong, additional, Tang, Linlin, additional, Mai, Yifeng, additional, Han, Liyuan, additional, and Duan, Shiwei, additional

Published
2014
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37. Genetic Associations with Diabetes: Meta-Analyses of 10 Candidate Polymorphisms

Author

Tang, Linlin, primary, Wang, Lingyan, additional, Liao, Qi, additional, Wang, Qinwen, additional, Xu, Leiting, additional, Bu, Shizhong, additional, Huang, Yi, additional, Zhang, Cheng, additional, Ye, Huadan, additional, Xu, Xuting, additional, Liu, Qiong, additional, Ye, Meng, additional, Mai, Yifeng, additional, and Duan, Shiwei, additional

Published
2013
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38. Peripheral blood IRF1expression as a marker for glucocorticoid sensitivity

Author

Chapin, William J., Lenkala, Divya, Mai, Yifeng, Mao, Yushan, White, Steven R., and Huang, Rong S.

Abstract

Despite of the common usage of glucocorticoids (GCs), a significant portion of asthma patients exhibit GC insensitivity. This could be mediated by diverse mechanisms, including genomics. Recent work has suggested that measuring changes in gene expression may provide more predictive information about GC insensitivity than baseline gene expression alone, and that expression changes in peripheral blood may be reflective of those in the airway.

Published
2015
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39. Investigating the impact of inflammatory response-related genes on renal fibrosis diagnosis: a machine learning-based study with experimental validation.

Author

Yuan Z, Yang X, Hu Z, Gao Y, Yan P, Zheng F, Hong K, Cen K, Mai Y, Bai Y, Guo Y, and Zhou J

Abstract

Renal fibrosis plays a crucial role in the progression of renal diseases, yet the lack of effective diagnostic markers poses challenges in scientific and clinical practices. In this study, we employed machine learning techniques to identify potential biomarkers for renal fibrosis. Utilizing two datasets from the GEO database, we applied LASSO, SVM-RFE and RF algorithms to screen for differentially expressed genes related to inflammatory responses between the renal fibrosis group and the control group. As a result, we identified four genes (CCL5, IFITM1, RIPK2, and TNFAIP6) as promising diagnostic indicators for renal fibrosis. These genes were further validated through in vivo experiments and immunohistochemistry, demonstrating their utility as reliable markers for assessing renal fibrosis. Additionally, we conducted a comprehensive analysis to explore the relationship between these candidate biomarkers, immunity, and drug sensitivity. Integrating these findings, we developed a nomogram with a high discriminative ability, achieving a concordance index of 0.933, enabling the prediction of disease risk in patients with renal fibrosis. Overall, our study presents a predictive model for renal fibrosis and highlights the significance of four potential biomarkers, facilitating clinical diagnosis and personalized treatment. This finding presents valuable insights for advancing precision medicine approaches in the management of renal fibrosis.Communicated by Ramaswamy H. Sarma.

Published
2024
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40. Development and validation of an inflammatory response-related signature in triple negative breast cancer for predicting prognosis and immunotherapy.

Author

Guo Y, Cen K, Yang S, Mai Y, and Hong K

Abstract

Background: Inflammation is one of the most important characteristics of tumor tissue. Signatures based on inflammatory response-related genes (IRGs) can predict prognosis and treatment response in a variety of tumors. However, the clear function of IRGs in the triple negative breast cancer (TNBC) still needs to be explored., Methods: IRGs clusters were discovered via consensus clustering, and the prognostic differentially expressed genes (DEGs) across clusters were utilized to develop a signature using a least absolute shrinkage and selection operator (LASSO). Verification analyses were conducted to show the robustness of the signature. The expression of risk genes was identified by RT-qPCR. Lastly, we formulated a nomogram to improve the clinical efficacy of our predictive tool., Results: The IRGs signature, comprised of four genes, was developed and was shown to be highly correlated with the prognoses of TNBC patients. In contrast with the performance of the other individual predictors, we discovered that the IRGs signature was remarkably superior. Also, the ImmuneScores were elevated in the low-risk group. The immune cell infiltration showed significant difference between the two groups, as did the expression of immune checkpoints., Conclusion: The IRGs signature could act as a biomarker and provide a momentous reference for individual therapy of TNBC., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Guo, Cen, Yang, Mai and Hong.)

Published
2023
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42. Prognostic implication and immunotherapy response prediction of a ubiquitination-related gene signature in breast cancer.

Author

Guo Y, Chen Q, Zhang Y, Cheng X, Cen K, Dai Y, Mai Y, and Hong K

Abstract

Breast cancer (BC) is one of the most common tumor types and has poor outcomes. In this study, a ubiquitination-related prognostic signature was constructed, and its association with immunotherapy response in BC was explored. A list of ubiquitination-related genes was obtained from the molecular signatures database, and a ubiquitination-related gene signature was obtained by least absolute shrinkage and selection operator Cox regression. The genes, TCN1 , DIRAS3 , and IZUMO4 , had significant influence on BC outcomes. Patients were categorized into two clusters-a high-risk group with poor survival and a low-risk group with greater chances of controlling BC progression. Univariate and multivariate Cox regression analyses revealed that the risk signature was an independent prognostic factor for BC. Gene set enrichment analysis suggested that the high-risk group was enriched in cell cycle and DNA replication pathways. The risk score was positively linked to the tumor microenvironment and negatively correlated with the immunotherapy response. The IC50 values for rapamycin were higher in the low-risk group, whereas those for axitinib, AZD6244, erlotinib, GDC0941, GSK650394, GSK269962A, lapatinib, and PD0325901 were higher in the high-risk group. Therefore, the ubiquitination-related signature is considered a promising tool for predicting a BC patient's immunotherapy response., Competing Interests: The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest., (Copyright © 2023 Hong, Chen, Zhang, Cheng, Cen, Dai, Mai and Guo.)

Published
2023
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43. Prediabetes is associated with HNF-4 α P2 promoter polymorphism rs1884613: a case-control study in Han Chinese population and an updated meta-analysis.

Author

Wang C, Chen S, Zhang T, Chen Z, Liu S, Peng X, Ma J, Zhong X, Yan Y, Tang L, Mai Y, Han L, and Duan S

Subjects
Aged, Case-Control Studies, Diabetes Mellitus, Type 2 genetics, Female, Humans, Male, Middle Aged, Hepatocyte Nuclear Factor 4 genetics, Polymorphism, Single Nucleotide, Prediabetic State genetics, Promoter Regions, Genetic
Abstract

Background: Controversy remains for the association between hepatocyte nuclear factor 4α (HNF-4α) P2 promoter polymorphism rs1884613 and type 2 diabetes (T2D). There was no association test of this polymorphism with prediabetes and T2D in the Chinese population. Moreover, an updated meta-analysis in various ethnic groups is needed to establish the contribution of rs1884613 to T2D risk., Methods: Using the Sequenom MassARRAY platform approach, we genotyped rs1884613 of HNF-4α in the P2 promoter region among 490 T2D patients, 471 individuals with prediabetes, and 575 healthy controls. All the individuals were recruited from 16 community health service centers in Nanshan district in Shenzhen province. Using STATA 11.0 software, meta-analysis was performed to summarize the overall contribution of rs1884613 to T2D risk., Results: Polymorphism rs1884613 was associated with genetic susceptibility to prediabetes in the whole samples (OR = 1.40, 95% CI = 1.16-1.68, P = 0.0001) and the female subgrouped samples (OR = 1.48, 95% CI = 1.14-1.92, P = 0.003) after adjusting for age and body mass index (BMI). In contrast, there was no association of rs1884613 with T2D in the whole samples and male in our case-control study and meta-analysis., Conclusions: Our results suggest that rs1884613 contributes to susceptibility to prediabetes, whereas this polymorphism may not play an important role in the development of T2D.

Published
2014
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