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)
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
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
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
Physiology
Xian Wang, Ling Jiang, Xue-Qi Liu, Yue-Bo Huang, Wei Zhu, Han-Xu Zeng, Li Gao, Li-Juan Ma, Meng-Ya Zhang, Qi-Jin Zhu, Yong-Gui Wu
Summary: This study utilized weighted gene co-expression network analysis (WGCNA) to identify key genes related to cell death pathway in diabetic nephropathy (DN). The results suggested that ferroptosis played a significant role in advanced DN and ALOX15 was identified as a potential key candidate gene. Additionally, miR-142 and miRNA-650, TFs (CREBBP, EP300, HDAC1, MTA1, SPI1, STAT6) and E3 ligases related to ubiquitination (PML, ZMIZ1, MARCHF1, MARCHF3, MARCHF8, MARCHF11) were predicted to regulate ALOX15 expression.
FRONTIERS IN PHYSIOLOGY
(2022)
Article
Biochemistry & Molecular Biology
Binbin Guo, Minhui Li, Peipei Wu, Yan Chen
Summary: This study identified TP53, RB1, NF2, RRM2, PRDX1, and CDC25A as potential diagnostic biomarkers for diabetic nephropathy. The diagnostic model containing these biomarkers performs well in the diagnosis of diabetic nephropathy. These biomarkers are strongly associated with several infiltrating immune cells. TP53 may play an essential role in the development of diabetic nephropathy.
FRONTIERS IN MOLECULAR BIOSCIENCES
(2023)
Article
Biotechnology & Applied Microbiology
Justin Wagner, Nathan D. Olson, Lindsay Harris, Jennifer McDaniel, Haoyu Cheng, Arkarachai Fungtammasan, Yih-Chii Hwang, Richa Gupta, Aaron M. Wenger, William J. Rowell, Ziad M. Khan, Jesse Farek, Yiming Zhu, Aishwarya Pisupati, Medhat Mahmoud, Chunlin Xiao, Byunggil Yoo, Sayed Mohammad Ebrahim Sahraeian, Danny E. Miller, David Jaspez, Jose M. Lorenzo-Salazar, Adrian Munoz-Barrera, Luis A. Rubio-Rodriguez, Carlos Flores, Giuseppe Narzisi, Uday Shanker Evani, Wayne E. Clarke, Joyce Lee, Christopher E. Mason, Stephen E. Lincoln, Karen H. Miga, Mark T. W. Ebbert, Alaina Shumate, Heng Li, Chen-Shan Chin, Justin M. Zook, Fritz J. Sedlazeck
Summary: The repetitive and complex nature of medically relevant genes poses challenges for accurate analysis, but a haplotype-resolved whole-genome assembly can help overcome these challenges. By characterizing 273 challenging genes, a curated benchmark set is obtained, which reports a large number of gene variations and can improve the accuracy of variant detection.
NATURE BIOTECHNOLOGY
(2022)
Article
Microbiology
Ji Eun Kim, Hoonsik Nam, Ji In Park, Hyunjeong Cho, Jangwook Lee, Hyo-Eun Kim, Dong Ki Kim, Kwon Wook Joo, Yon Su Kim, Bong-Soo Kim, Sunghyouk Park, Hajeong Lee
Summary: This study investigated the relationships among gut microbial species, genes, and metabolites in diabetic mellitus nephropathy (DMN) patients. Significant elevations of six bacterial species were found in DMN patients, and differential microbial genes and metabolites were identified between DMN and control groups. Methionine and branched-chain amino acids were found to be important features in differentiating the DMN group from the control group, along with estimated glomerular filtration rate and proteinuria. The study provides insights into the gut microbial involvement in the pathogenesis of DMN and may have implications for potential therapeutic targets.
MICROBIOLOGY SPECTRUM
(2023)
Review
Endocrinology & Metabolism
Ming Yang, Shilu Luo, Jinfei Yang, Wei Chen, Liyu He, Di Liu, Li Zhao, Xi Wang
Summary: There is a lack of in-depth research on the beneficial role of exercise and its underlying molecular mechanisms in kidney disease, especially in diabetic nephropathy (DN). As an endocrine organ, muscle secretes myokines that may have potential in the treatment of DN.
FRONTIERS IN ENDOCRINOLOGY
(2022)
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
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
Environmental Sciences
Ibrahim M. Alhazza, Hossam Ebaid, Mohamed S. Omar, Iftekhar Hassan, Mohamed A. Habila, Jameel Al-Tamimi, Mohamed Sheikh
Summary: The study found that selenium nanoparticles (SeNPs) have a protective effect against kidney injury in streptozocin-induced diabetic rats, improving symptoms such as polyuria, delayed gestation, and abnormal pancreatic beta-cells.
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
(2022)
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)
Review
Clinical Neurology
Kenneth S. Kosik
Summary: This study describes the unique demographic circumstances and genetic background in which large families with autosomal dominant mutations leading to Alzheimer's disease may show protective gene variants. Discovering these genes may unveil potential therapeutic pathways.
ANNALS OF NEUROLOGY
(2023)
