Results 41 to 50 of about 107,360 (249)

Key genes and regulatory networks for diabetic retinopathy based on hypoxia-related genes: a bioinformatics analysis [PDF]

open access: yesInternational Journal of Ophthalmology
AIM: To prevent neovascularization in diabetic retinopathy (DR) patients and partially control disease progression. METHODS: Hypoxia-related differentially expressed genes (DEGs) were identified from the GSE60436 and GSE102485 datasets, followed by gene ...
Cai-Han Yu   +5 more
doaj   +1 more source

Integrative single-cell RNA sequencing and metabolomics decipher the imbalanced lipid-metabolism in maladaptive immune responses during sepsis

open access: yesFrontiers in Immunology, 2023
BackgroundTo identify differentially expressed lipid metabolism-related genes (DE-LMRGs) responsible for immune dysfunction in sepsis.MethodsThe lipid metabolism-related hub genes were screened using machine learning algorithms, and the immune cell ...
Han She   +18 more
doaj   +1 more source

Hub gene target of glioblastoma: LOX, SERPINH1 and TGFBI

open access: yesMedicine, 2022
Glioblastoma (GBM) is a malignant tumor. The long-term prognosis of the patients is poor. Therefore, it is of important clinical value to further explore the pathogenesis and look for molecular markers for early diagnosis and targeted treatment.
Shuyuan Zhang   +7 more
openaire   +2 more sources

Identifying hub genes of calcific aortic valve disease and revealing the immune infiltration landscape based on multiple WGCNA and single-cell sequence analysis

open access: yesFrontiers in Immunology, 2022
BackgroundCalcific aortic valve disease (CAVD) is a progressive fibrocalcific disease that can be treated only through valve replacement. This study aimed to determine the role of hub genes and immune cell infiltration in CAVD progression.MethodsIn this ...
Kan Wang   +5 more
doaj   +1 more source

Prediction and analysis of osteoarthritis hub genes with bioinformatics

open access: yesAnnals of Translational Medicine, 2023
Osteoarthritis (OA) is the most common type of arthritis. OA can cause joint pain, stiffness, and loss of function. The pathogenesis of OA is not completely clear. Moreover, there is no effective treatment, and clinical management is limited to symptomatic relief or joint surgery.
Zhong, Junqing, Xiang, Ding, Ma, Xinlong
openaire   +2 more sources

Network Analyses of Differentially Expressed Genes in Osteoarthritis to Identify Hub Genes [PDF]

open access: yesBioMed Research International, 2019
Background. Osteoarthritis (OA) is the most common degenerative disease in orthopedics. However, the cause and underlying molecular mechanisms are not clear. This study aims to identify the hub genes and pathways involved in the occurrence of osteoarthritis. Methods.
Zhaoyan Li   +8 more
openaire   +2 more sources

Identification and validation of hub genes for diabetic retinopathy

open access: yesPeerJ, 2021
Background Diabetic retinopathy (DR) is characterized by a gradually progressive alteration in the retinal microvasculature that leads to middle-aged adult acquired persistent blindness. Limited research has been conducted on DR pathogenesis at the gene level.
Li Peng, Wei Ma, Qing Xie, Baihua Chen
openaire   +3 more sources

Identification of hub genes related to prognosis in glioma [PDF]

open access: yesBioscience Reports, 2020
Abstract Glioma, a common malignant tumor of the central nervous system, has high invasiveness. The objective of the present study was to identify genes playing an important role in the development of glioma and to reveal their potential research value.
Delong Zhang   +5 more
openaire   +2 more sources

Identification of Immune-Related Hub Genes in Parkinson’s Disease

open access: yesFrontiers in Genetics, 2022
Background: Parkinson’s disease (PD) is a common, age-related, and progressive neurodegenerative disease. Growing evidence indicates that immune dysfunction plays an essential role in the pathogenic process of PD. The objective of this study was to explore potential immune-related hub genes and immune infiltration patterns of PD.Method: The microarray ...
Lin Chen   +4 more
openaire   +3 more sources

Identification of hub genes predicting the development of prostate cancer from benign prostate hyperplasia and analyzing their clinical value in prostate cancer by bioinformatic analysis

open access: yesDiscover Oncology, 2022
Prostate cancer (PCa) and benign prostate hyperplasia (BPH) are commonly encountered diseases in males. Studies showed that genetic factors are responsible for the occurrences of both diseases.
Xi Chen   +9 more
doaj   +1 more source

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