144 related articles for article (PubMed ID: 37597213)
1. Screening and validation of differentially expressed genes in adipose tissue of patients with obesity and type 2 diabetes mellitus.
Tong X; Liu C; Liang M; Ye X; Deng Z; Zhang X
Biomol Biomed; 2024 Jan; 24(1):40-50. PubMed ID: 37597213
[TBL] [Abstract][Full Text] [Related]
2. The Association of lncRNA and mRNA Changes in Adipose Tissue with Improved Insulin Resistance in Type 2 Obese Diabetes Mellitus Rats after Roux-en-Y Gastric Bypass.
Zhang LH; Wang J; Tan BH; Yin YB; Kang YM
Dis Markers; 2022; 2022():8902916. PubMed ID: 35899178
[TBL] [Abstract][Full Text] [Related]
3. Transcriptomic analysis of epicardial adipose tissue reveals the potential crosstalk genes and immune relationship between type 2 diabetes mellitus and atrial fibrillation.
Li TL; Zhu NN; Yin Z; Sun J; Guo JP; Yuan HT; Shi XM; Guo HY; Li SX; Shan ZL
Gene; 2024 Aug; 920():148528. PubMed ID: 38703871
[TBL] [Abstract][Full Text] [Related]
4. Bioinformatics prediction and experimental verification of key biomarkers for diabetic kidney disease based on transcriptome sequencing in mice.
Zhao J; He K; Du H; Wei G; Wen Y; Wang J; Zhou X; Wang J
PeerJ; 2022; 10():e13932. PubMed ID: 36157062
[TBL] [Abstract][Full Text] [Related]
5. Integrated bioinformatics analyses identifying potential biomarkers for type 2 diabetes mellitus and breast cancer: In SIK1-ness and health.
Durrani IA; Bhatti A; John P
PLoS One; 2023; 18(8):e0289839. PubMed ID: 37556419
[TBL] [Abstract][Full Text] [Related]
6. Identification of ferroptosis-related genes in type 2 diabetes mellitus based on machine learning.
Wang S; Lu Y; Chi T; Zhang Y; Zhao Y; Guo H; Feng L
Immun Inflamm Dis; 2023 Oct; 11(10):e1036. PubMed ID: 37904700
[TBL] [Abstract][Full Text] [Related]
7. qPCR Analysis Reveals Association of Differential Expression of
Raza W; Guo J; Qadir MI; Bai B; Muhammad SA
Front Endocrinol (Lausanne); 2021; 12():774696. PubMed ID: 35046895
[TBL] [Abstract][Full Text] [Related]
8. The Construction and Analysis of the Aberrant lncRNA-miRNA-mRNA Network in Adipose Tissue from Type 2 Diabetes Individuals with Obesity.
Hu W; Ding Y; Wang S; Xu L; Yu H
J Diabetes Res; 2020; 2020():3980742. PubMed ID: 32337289
[TBL] [Abstract][Full Text] [Related]
9. Identification of metabolism genes related to hepatocarcinogenesis and progression in type 2 diabetes mellitus via co-expression networks analysis.
Bi Y; Yin B; Fan G
Hereditas; 2021 Apr; 158(1):14. PubMed ID: 33865459
[TBL] [Abstract][Full Text] [Related]
10. Six potential biomarkers in septic shock: a deep bioinformatics and prospective observational study.
Kong C; Zhu Y; Xie X; Wu J; Qian M
Front Immunol; 2023; 14():1184700. PubMed ID: 37359526
[TBL] [Abstract][Full Text] [Related]
11. Identification and analysis of key genes in adipose tissue for human obesity based on bioinformatics.
Hua Y; Xie D; Zhang Y; Wang M; Wen W; Sun J
Gene; 2023 Dec; 888():147755. PubMed ID: 37659596
[TBL] [Abstract][Full Text] [Related]
12. [Screening, functional analysis and clinical validation of differentially expressed genes in diabetic foot ulcers].
Wang P; Chen ZH; Jiang LY; Zhou XQ; Jia CY; Xiao HA
Zhonghua Shao Shang Yu Chuang Mian Xiu Fu Za Zhi; 2022 Oct; 38(10):944-951. PubMed ID: 36299206
[No Abstract] [Full Text] [Related]
13. Expression of caveolin-1 in human adipose tissue is upregulated in obesity and obesity-associated type 2 diabetes mellitus and related to inflammation.
Catalán V; Gómez-Ambrosi J; Rodríguez A; Silva C; Rotellar F; Gil MJ; Cienfuegos JA; Salvador J; Frühbeck G
Clin Endocrinol (Oxf); 2008 Feb; 68(2):213-9. PubMed ID: 17803693
[TBL] [Abstract][Full Text] [Related]
14. Investigation of candidate genes and mechanisms underlying obesity associated type 2 diabetes mellitus using bioinformatics analysis and screening of small drug molecules.
Prashanth G; Vastrad B; Tengli A; Vastrad C; Kotturshetti I
BMC Endocr Disord; 2021 Apr; 21(1):80. PubMed ID: 33902539
[TBL] [Abstract][Full Text] [Related]
15. Identification of Potential Biomarkers of Type 2 Diabetes Mellitus-Related Immune Infiltration Using Weighted Gene Coexpression Network Analysis.
Zhou J; Zhang X; Ji L; Jiang G
Biomed Res Int; 2022; 2022():9920744. PubMed ID: 35187175
[TBL] [Abstract][Full Text] [Related]
16. Gene Expression Profiling of Type 2 Diabetes Mellitus by Bioinformatics Analysis.
Zhu H; Zhu X; Liu Y; Jiang F; Chen M; Cheng L; Cheng X
Comput Math Methods Med; 2020; 2020():9602016. PubMed ID: 33149760
[TBL] [Abstract][Full Text] [Related]
17. Identification of core genes and pathways in type 2 diabetes mellitus by bioinformatics analysis.
Ding L; Fan L; Xu X; Fu J; Xue Y
Mol Med Rep; 2019 Sep; 20(3):2597-2608. PubMed ID: 31524257
[TBL] [Abstract][Full Text] [Related]
18. Exploration and Clinical Verification of the Blood Co-Expression Genes of Type 2 Diabetes Mellitus and Mild Cognitive Dysfunction in the Elderly.
Zhang Y; Deng S; Zhong H; Liu M; Ding J; Geng R; Tu Q
Biomedicines; 2023 Mar; 11(4):. PubMed ID: 37189611
[TBL] [Abstract][Full Text] [Related]
19. Identification and analysis of type 2 diabetes-mellitus-associated autophagy-related genes.
Cui K; Li Z
Front Endocrinol (Lausanne); 2023; 14():1164112. PubMed ID: 37223013
[TBL] [Abstract][Full Text] [Related]
20. Genome-wide scanning for CHD1L gene in papillary thyroid carcinoma complicated with type 2 diabetes mellitus.
Kang YY; Li JJ; Sun JX; Wei JX; Ding C; Shi CL; Wu G; Li K; Ma YF; Sun Y; Qiao H
Clin Transl Oncol; 2021 Dec; 23(12):2536-2547. PubMed ID: 34245428
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]