Article
Multidisciplinary Sciences
Yongzheng Hu, Yani Yu, Hui Dong, Wei Jiang
Summary: This study identified and elucidated potential candidate genes for diabetic nephropathy (DN) using bioinformatics and provided insights into the mechanisms of DN at the cellular transcriptional level. The study found genes related to DN and constructed protein-protein interaction networks to validate the correlation between candidate genes and kidney injury. Furthermore, a miRNA-mRNA-TF network was constructed to propose potential RNA regulatory pathways in disease progression of DN.
Article
Endocrinology & Metabolism
Zhuo Gao, S. Aishwarya, Xiao-mei Li, Xin-lun Li, Li-na Sui
Summary: This study identified potential key genes and pathways involved in the progression of DKD through integrated bioinformatics analysis. Several differentially expressed genes with roles in DKD progression were identified, along with two drugs that have a validated role in reversing the observed differential gene expression patterns.
FRONTIERS IN ENDOCRINOLOGY
(2021)
Article
Medicine, Research & Experimental
Juan Jose Oropeza-Valdez, Jose de la Cruz Moreira Hernandez, Elena Jaime-Sanchez, Ernesto Lopez-Ramos, Edgar E. Lara-Ramirez, Yamile Lopez Hernandez, Julio Enrique Castaneda-Delgado, Jose Antonio Enciso Moreno
Summary: This study evaluated the transcriptomic profiles of different groups of patients to identify biomarkers for diabetic nephropathy. The results identified several induced genes that could potentially be used as biomarkers for diagnosing diabetic nephropathy.
ARCHIVES OF MEDICAL RESEARCH
(2023)
Article
Endocrinology & Metabolism
Chenyu Fan, Yuye Gao, Ying Sun
Summary: This study used integrated analysis to identify candidate biomarkers for diabetic nephropathy (DN) and evaluated their causal effects through Mendelian randomization (MR) analysis. The results showed that MICB and GZMA were associated with DN risk and may be involved in the development of the disease.
FRONTIERS IN ENDOCRINOLOGY
(2023)
Article
Veterinary Sciences
Sayed Haidar Abbas Raza, Chengcheng Liang, Wang Guohua, Sameer D. Pant, Zuhair M. Mohammedsaleh, Abdullah F. Shater, Mashael Alhumaidi Alotaibi, Rajwali Khan, Nicola Schreurs, Gong Cheng, Chugang Mei, Linsen Zan
Summary: In this study, differentially expressed genes specific to multiple muscle tissues in mice were identified using bioinformatics techniques, providing potential candidate genes for studying the regulatory mechanisms of muscle development. The genes were found to be associated with myofibril, cytoskeletal protein binding, and metabolic pathways, offering important insights for further research on muscle development.
FRONTIERS IN VETERINARY SCIENCE
(2021)
Article
Urology & Nephrology
Le-Ting Zhou, Zhi-Jian Zhang, Jing-Yuan Cao, Hanzhi Chen, Yu-Shan Zhu, Xi Wu, Abdul Qadir Nawabi, Xiaobin Liu, Weiwei Shan, Yue Zhang, Xi-Ran Zhang, Jing Xue, Ling Hu, Si-Si Wang, Liang Wang, Zhu-Xing Sun
Summary: This study identified unique molecular mechanisms of diabetic nephropathy (DN) through analysis of genomic data, including differential gene expression in both glomerular and tubulointerstitial tissues. Enrichment analysis revealed the significant roles of these differentially expressed genes in relevant biological processes and pathways. Hub genes identified in the protein-protein interaction networks may play key roles in regulating the development of DN.
CLINICAL KIDNEY JOURNAL
(2021)
Review
Biochemistry & Molecular Biology
Amit K. Maiti
Summary: Diabetic Nephropathy is a serious complication of diabetes affecting the kidneys, with current diagnosis and treatment options insufficient to halt disease progression. Advances in genetics and genomics have identified susceptibility genes associated with DN, many of which have inflammatory functions, providing new insights for precision medicine in treating the disease.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2021)
Article
Endocrinology & Metabolism
Nan Wang, Lexi Ding, Die Liu, Quyan Zhang, Guoli Zheng, Xiaobo Xia, Siqi Xiong
Summary: By analyzing data from the GEO database using R software and validating through qRT-PCR and a validation set, potential pyroptosis-related genes associated with the occurrence of diabetic retinopathy were successfully identified. A key ceRNA regulatory network related to these genes was constructed. These findings may enhance the understanding of molecular mechanisms underlying pyroptosis in diabetic retinopathy.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Medicine, Research & Experimental
Meng Yan, Wenwen Li, Rui Wei, Shuwen Li, Yan Liu, Yuqian Huang, Yunye Zhang, Zihao Lu, Qian Lu
Summary: This study identified pyroptosis-related genes and potential drugs for diabetic nephropathy (DN) through bioinformatic analysis. Two DN subtypes were identified and found to be associated with inflammation, immune response, and cell metabolism. Additionally, potential therapeutics targeting key genes were predicted.
JOURNAL OF TRANSLATIONAL MEDICINE
(2023)
Article
Biochemistry & Molecular Biology
Maria Tziastoudi, Christos Cholevas, Theoharis C. Theoharides, Ioannis Stefanidis
Summary: This study utilized gene ontology analysis and protein network construction to identify the potential roles of immune-related molecules and Cadherin/Wnt signaling pathways in diabetic nephropathy, suggesting them as potential therapeutic targets for the treatment of DN.
INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES
(2022)
Article
Biology
Chun-Yan Cui, Xiao Liu, Ming-Hui Peng, Qing Liu, Ying Zhang
Summary: The study identified key genes and signaling pathways related to neuropathic pain using bioinformatics technology, providing potential targets for the targeted therapy of neuropathic pain.
COMPUTERS IN BIOLOGY AND MEDICINE
(2022)
Article
Endocrinology & Metabolism
Zukai Li, Junxia Feng, Jinting Zhong, Meizhi Lu, Xuejuan Gao, Yunfang Zhang
Summary: This study identified four candidate genes (FN1, C1QA, C1QB, and CD44) for diabetic nephropathy (DN), with FN1 being confirmed as a key gene involved in the development of DN through the ECM-receptor interaction pathway. THBS2, COL1A2, COL6A3, and CD44 may serve as novel biomarkers and therapeutic targets for DN.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Dermatology
Baoyi Liu, Yongyi Xie, Zhouwei Wu
Summary: This study revealed several potential pathways and related genes involved in NSV using integrated bioinformatics methods, providing references for targeted strategies for NSV.
Article
Immunology
Changyan Li, Feng Su, Le Zhang, Fang Liu, Wenxing Fan, Zhen Li, JingYuan Ma
Summary: Diabetic nephropathy prognosis is poor and early diagnosis is challenging, but using machine algorithms to search for specific markers can aid in diagnosis. Analysis showed that hypoxia and immune responses play a role in DN progression, with T cells being central. TGFBR3, APOLD1, CPEB1, and KDR show higher diagnostic accuracy in DN diagnosis.
JOURNAL OF INFLAMMATION RESEARCH
(2021)
Article
Endocrinology & Metabolism
Huangjie Zhang, Jinguo Hu, Junfeng Zhu, Qinglin Li, Luo Fang
Summary: A total of 449 DE-MRGs were identified in this study. GO and KEGG pathway enrichment analysis indicated that the DE-MRGs were mainly enriched in small molecules catabolic process, purine metabolism, and carbon metabolism. ADI1, PTGS2, DGKH, and POLR2B were identified as diagnostic feature biomarkers for DN via WGCNA, LASSO, SVM-RFE, and RFE algorithms. The result of CIBERSORT algorithm illustrated a remarkable difference of immune cells in HC and DN group, and the diagnostic feature biomarkers were closely associated with immune cells.
FRONTIERS IN ENDOCRINOLOGY
(2022)
Article
Urology & Nephrology
Horng-Ruey Chua, Graeme MacLaren, Lina Hui-Lin Choong, Chang-Yin Chionh, Benjamin Zhi En Khoo, See-Cheng Yeo, Duu-Wen Sewa, Shin-Yi Ng, Jason Chon-Jun Choo, Boon-Wee Teo, Han-Khim Tan, Wen-Ting Siow, Rohit Vijay Agrawal, Chieh-Suai Tan, Anantharaman Vathsala, Rajat Tagore, Terina Ying-Ying Seow, Priyanka Khatri, Wei-Zhen Hong, Manish Kaushik
AMERICAN JOURNAL OF KIDNEY DISEASES
(2020)
Letter
Hematology
Wenxiang Yeon, Chang Yin Chionh
THERAPEUTIC APHERESIS AND DIALYSIS
(2021)
Article
Urology & Nephrology
Yun Ting Yap, Quan Yao Ho, Terence Kee, Chee Yong Ng, Chang Yin Chionh
Summary: This study found that introducing pre-transplant biopsy assessment may improve outcomes of ECD kidney recipients, making them now comparable to SCD kidney recipients, with benefits persisting over 5 years.
Article
Multidisciplinary Sciences
Chang Yin Chionh, Desilyn Yuqing Soh, Chee How Tan, Jien-Yi Khaw, Ying Ching Wong, Shaohui Foong
SCIENTIFIC REPORTS
(2020)
Article
Urology & Nephrology
Charles Jun Han Ng, Cheng Boon Poh, Sreekanth Koduri, Debajyoti Malakar Roy, Chuin Siau, Noelle Louise Lim, Chang Yin Chionh
Summary: The study found that RCA titration can significantly impact the delivered CRRT effluent dose, with citrated replacement fluid titration having varying degrees of influence on this dose.
CLINICAL AND EXPERIMENTAL NEPHROLOGY
(2021)
Article
Medicine, General & Internal
Chang Yin Chionh, Cheng Boon Poh, Debajyoti M. Roy, Sreekanth Koduri, Bing Lun Chow, Pei Ting Tan, Aung Soe Tin, Jia Wen Kam, Chin Shern Lau, See Ping Hoo, Soon Kieng Phua, Tar Choon Aw
Summary: This study aimed to determine the reference interval for anion gap (AG) based on current laboratory techniques. Through blood analysis of 284 participants in a health screening, the normal reference interval for AG was found to be 10-18 mmol/L. Differences in AG were detected for sex, race, obesity, and serum albumin, but the differences were minimal.
INTERNAL MEDICINE JOURNAL
(2022)
Article
Urology & Nephrology
Saradha Anantharaman, Chang Yin Chionh
Summary: The study presents equations and strategy for calculating and adjusting sodium concentration in CRRT fluid, showing that this strategy can safely increase serum sodium levels.
SEMINARS IN DIALYSIS
(2022)
Article
Engineering, Aerospace
Sim Kuan Goh, Narendra Pratap Singh, Zhi Jun Lim, Sameer Alam
Summary: This research aims to enhance the existing rule-based stable approach criteria by using data-driven and interpretable tunnel Gaussian process (TGP) models to probabilistically characterize the 4-D approach and landing parameters, providing a comprehensible probabilistic description of anomalies. The proposed TGP can serve as a ground-based safety net for the compliance of stable approaches.
IEEE TRANSACTIONS ON AEROSPACE AND ELECTRONIC SYSTEMS
(2023)
Article
Peripheral Vascular Disease
Sreekanth Koduri, Gareth Yeow Keng Chionh, Jien-Yi Khaw, Shaohui Foong, Chang Yin Chionh
Summary: This study aimed to evaluate risk factors for bleeding following dialysis catheter-related procedures, particularly in patients receiving antiplatelet therapy. The use of antiplatelet agents did not significantly increase the risk of bleeding.
JOURNAL OF VASCULAR ACCESS
(2023)
Article
Engineering, Aerospace
Sim Kuan Goh, Zhi Jun Lim, Sameer Alam, Narendra Pratap Singh
Summary: This paper proposes a data-driven method using TGP models to analyze flight approach and landing parameters, demonstrating superior modeling performance when compared to existing methods. The TGP model provides a generative probabilistic description of landing dynamics and interpretable tunnel views of approach and landing parameters, facilitating analysis of procedure adherence and enhancing aircrew and air traffic controller displays during approach and landing procedures.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2021)
Article
Urology & Nephrology
Chang Yin Chionh, Fredric O. Finkelstein, Claudio Ronco
Summary: PD is a viable option for renal replacement therapy in AKI, and this study aimed to derive practical equations to assist with PD prescription. By using physiological principles, mathematical equations were developed to estimate dialysate volume required to achieve a target dose of PD. These equations can be used as a practical tool to estimate solute clearances and guide PD prescription based on clinical circumstances and response to treatment.
PERITONEAL DIALYSIS INTERNATIONAL
(2021)
Proceedings Paper
Computer Science, Artificial Intelligence
Zhi Jun Lim, Sim Kuan Goh, Imen Dhief, Sameer Alam
2020 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI)
(2020)
Article
Urology & Nephrology
Bing Lun Chow, Cheng Boon Poh, Chang Yin Chionh
Article
Engineering, Aerospace
Phu N. Tran, Duc-Thinh Pham, Sim Kuan Goh, Sameer Alam, Vu Duong
JOURNAL OF AEROSPACE INFORMATION SYSTEMS
(2020)
Article
Engineering, Aerospace
Sim Kuan Goh, Zhi Jun Lim, Sameer Alam, Narendra Pratap Singh
Summary: This paper proposes a data-driven method to learn and interpret flight's approach and landing parameters, providing comprehensible and actionable insights into flight dynamics. The study uses tunnel Gaussian process (TGP) models to analyze aircraft approach and landing dynamics, offering an evaluation of flight stability.
JOURNAL OF GUIDANCE CONTROL AND DYNAMICS
(2021)