BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

153 related articles for article (PubMed ID: 34857156)

  • 1. Peripheral neutrophils and naive CD4 T cells predict the development of heart failure following acute myocardial infarction: A bioinformatic study.
    Yu C; Zhou W
    Rev Port Cardiol (Engl Ed); 2021 Nov; 40(11):839-847. PubMed ID: 34857156
    [TBL] [Abstract][Full Text] [Related]  

  • 2. PRKAR1A and SDCBP Serve as Potential Predictors of Heart Failure Following Acute Myocardial Infarction.
    Chen Q; Su L; Liu C; Gao F; Chen H; Yin Q; Li S
    Front Immunol; 2022; 13():878876. PubMed ID: 35592331
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Identification of time‑series differentially expressed genes and pathways associated with heart failure post‑myocardial infarction using integrated bioinformatics analysis.
    Li X; Li B; Jiang H
    Mol Med Rep; 2019 Jun; 19(6):5281-5290. PubMed ID: 31059043
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Identification of monocyte-associated genes as predictive biomarkers of heart failure after acute myocardial infarction.
    Chen Q; Yin Q; Song J; Liu C; Chen H; Li S
    BMC Med Genomics; 2021 Feb; 14(1):44. PubMed ID: 33563285
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Identification of biomarkers and immune infiltration in acute myocardial infarction and heart failure by integrated analysis.
    Liu W; Li Y; Zhang Y; Li S; Chen Y; Han B; Lu Y
    Biosci Rep; 2023 Jul; 43(7):. PubMed ID: 37334672
    [TBL] [Abstract][Full Text] [Related]  

  • 6. [Two-color flow cytometry analysis of lymphocyte subsets in patients with acute myocardial infarction and post-myocardial infarction syndrome].
    Tsuchihashi M; Sakaguchi Y; Nakamura M; Sutani T; Tsuruta S; Kato S; Uemura S; Nishida Y; Hashimoto T; Kagoshima T
    J Cardiol; 1995 Aug; 26(2):69-79. PubMed ID: 7674146
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Predicting Diagnostic Gene Biomarkers Associated With Immune Infiltration in Patients With Acute Myocardial Infarction.
    Zhao E; Xie H; Zhang Y
    Front Cardiovasc Med; 2020; 7():586871. PubMed ID: 33195475
    [No Abstract]   [Full Text] [Related]  

  • 8. Identifying patterns of immune related cells and genes in the peripheral blood of acute myocardial infarction patients using a small cohort.
    Zheng PF; Zou QC; Chen LZ; Liu P; Liu ZY; Pan HW
    J Transl Med; 2022 Jul; 20(1):321. PubMed ID: 35864510
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Integration of machine learning to identify diagnostic genes in leukocytes for acute myocardial infarction patients.
    Zhang L; Liu Y; Wang K; Ou X; Zhou J; Zhang H; Huang M; Du Z; Qiang S
    J Transl Med; 2023 Oct; 21(1):761. PubMed ID: 37891664
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Identification of immune-related genes in acute myocardial infarction based on integrated bioinformatical methods and experimental verification.
    Liu J; Chen L; Zheng X; Guo C
    PeerJ; 2023; 11():e15058. PubMed ID: 37214088
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Uncovering the differentially expressed genes and pathways involved in the progression of stable coronary artery disease to acute myocardial infarction using bioinformatics analysis.
    Xiao SJ; Zhou YF; Wu Q; Ma WR; Chen ML; Pan DF
    Eur Rev Med Pharmacol Sci; 2021 Jan; 25(1):301-312. PubMed ID: 33506919
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Identification of SLED1 as a Potential Predictive Biomarker and Therapeutic Target of Post-Infarct Heart Failure by Bioinformatics Analyses.
    Zhang J; Wang J; Wu Y; Li W; Gong K; Zhao P
    Int Heart J; 2021; 62(1):23-32. PubMed ID: 33518662
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Identification of potential biomarkers and immune cell infiltration in acute myocardial infarction (AMI) using bioinformatics strategy.
    Xie Y; Wang Y; Zhao L; Wang F; Fang J
    Bioengineered; 2021 Dec; 12(1):2890-2905. PubMed ID: 34227921
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Activated toll-like receptor 4 in monocytes is associated with heart failure after acute myocardial infarction.
    Satoh M; Shimoda Y; Maesawa C; Akatsu T; Ishikawa Y; Minami Y; Hiramori K; Nakamura M
    Int J Cardiol; 2006 May; 109(2):226-34. PubMed ID: 16051384
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Circulating p53-responsive microRNAs are predictive indicators of heart failure after acute myocardial infarction.
    Matsumoto S; Sakata Y; Suna S; Nakatani D; Usami M; Hara M; Kitamura T; Hamasaki T; Nanto S; Kawahara Y; Komuro I
    Circ Res; 2013 Jul; 113(3):322-6. PubMed ID: 23743335
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Immune Cell Repertoire and Their Mediators in Patients with Acute Myocardial Infarction or Stable Angina Pectoris.
    Yan W; Song Y; Zhou L; Jiang J; Yang F; Duan Q; Che L; Shen Y; Song H; Wang L
    Int J Med Sci; 2017; 14(2):181-190. PubMed ID: 28260995
    [No Abstract]   [Full Text] [Related]  

  • 17. Identification of important genes associated with acute myocardial infarction using multiple cell death patterns.
    Sun Y; Zhong N; Zhu X; Fan Q; Li K; Chen Y; Wan X; He Q; Xu Y
    Cell Signal; 2023 Dec; 112():110921. PubMed ID: 37839544
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Gene expression profiling reveals potential prognostic biomarkers associated with the progression of heart failure.
    Maciejak A; Kiliszek M; Michalak M; Tulacz D; Opolski G; Matlak K; Dobrzycki S; Segiet A; Gora M; Burzynska B
    Genome Med; 2015; 7(1):26. PubMed ID: 25984239
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Trends from 1996 to 2007 in incidence and mortality outcomes of heart failure after acute myocardial infarction: a population-based study of 20,812 patients with first acute myocardial infarction in Western Australia.
    Hung J; Teng TH; Finn J; Knuiman M; Briffa T; Stewart S; Sanfilippo FM; Ridout S; Hobbs M
    J Am Heart Assoc; 2013 Oct; 2(5):e000172. PubMed ID: 24103569
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Identification of Biomarkers for Early Diagnosis of Acute Myocardial Infarction.
    Ge WH; Lin Y; Li S; Zong X; Ge ZC
    J Cell Biochem; 2018 Jan; 119(1):650-658. PubMed ID: 28636181
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.