These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

182 related articles for article (PubMed ID: 36564831)

  • 1. Machine learning of plasma metabolome identifies biomarker panels for metabolic syndrome: findings from the China Suboptimal Health Cohort.
    Wang H; Wang Y; Li X; Deng X; Kong Y; Wang W; Zhou Y
    Cardiovasc Diabetol; 2022 Dec; 21(1):288. PubMed ID: 36564831
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Discovery and comparison of serum biomarkers for diabetes mellitus and metabolic syndrome based on UPLC-Q-TOF/MS.
    Liu X; Gao X; Zhang R; Liu Z; Shen N; Di Y; Fang T; Li H; Tian F
    Clin Biochem; 2020 Aug; 82():40-50. PubMed ID: 32194037
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Integrating machine learning and nontargeted plasma lipidomics to explore lipid characteristics of premetabolic syndrome and metabolic syndrome.
    Huang X; He Q; Hu H; Shi H; Zhang X; Xu Y
    Front Endocrinol (Lausanne); 2024; 15():1335269. PubMed ID: 38559697
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Early metabolic markers identify potential targets for the prevention of type 2 diabetes.
    Peddinti G; Cobb J; Yengo L; Froguel P; Kravić J; Balkau B; Tuomi T; Aittokallio T; Groop L
    Diabetologia; 2017 Sep; 60(9):1740-1750. PubMed ID: 28597074
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis.
    Hu X; Wang J; Ju Y; Zhang X; Qimanguli W; Li C; Yue L; Tuohetaerbaike B; Li Y; Wen H; Zhang W; Chen C; Yang Y; Wang J; Chen F
    BMC Infect Dis; 2022 Aug; 22(1):707. PubMed ID: 36008772
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Prediction of metabolic and pre-metabolic syndromes using machine learning models with anthropometric, lifestyle, and biochemical factors from a middle-aged population in Korea.
    Kim J; Mun S; Lee S; Jeong K; Baek Y
    BMC Public Health; 2022 Apr; 22(1):664. PubMed ID: 35387629
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Identification of diagnostic genes and drug prediction in metabolic syndrome-associated rheumatoid arthritis by integrated bioinformatics analysis, machine learning, and molecular docking.
    Huang Y; Yue S; Qiao J; Dong Y; Liu Y; Zhang M; Zhang C; Chen C; Tang Y; Zheng J
    Front Immunol; 2024; 15():1431452. PubMed ID: 39139563
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Serum Metabolomics Identifies Dysregulated Pathways and Potential Metabolic Biomarkers for Hyperuricemia and Gout.
    Shen X; Wang C; Liang N; Liu Z; Li X; Zhu ZJ; Merriman TR; Dalbeth N; Terkeltaub R; Li C; Yin H
    Arthritis Rheumatol; 2021 Sep; 73(9):1738-1748. PubMed ID: 33760368
    [TBL] [Abstract][Full Text] [Related]  

  • 9. NMR spectroscopy based metabolomics confirms the aggravation of metabolic disorder in metabolic syndrome combined with hyperuricemia.
    Zhang Y; Zhang H; Rong S; Bian C; Yang Y; Pan H
    Nutr Metab Cardiovasc Dis; 2021 Jul; 31(8):2449-2457. PubMed ID: 34154888
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Metabolomics and machine learning approaches for diagnostic and prognostic biomarkers screening in sepsis.
    She H; Du Y; Du Y; Tan L; Yang S; Luo X; Li Q; Xiang X; Lu H; Hu Y; Liu L; Li T
    BMC Anesthesiol; 2023 Nov; 23(1):367. PubMed ID: 37946144
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Multi-stage metabolomics and genetic analyses identified metabolite biomarkers of metabolic syndrome and their genetic determinants.
    Wu Q; Li J; Sun X; He D; Cheng Z; Li J; Zhang X; Xie Y; Zhu Y; Lai M
    EBioMedicine; 2021 Dec; 74():103707. PubMed ID: 34801968
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Association of Coronary Artery Disease and Metabolic Syndrome: Usefulness of Serum Metabolomics Approach.
    Jing Z; Liu L; Shi Y; Du Q; Zhang D; Zuo L; Du S; Sun Z; Zhang X
    Front Endocrinol (Lausanne); 2021; 12():692893. PubMed ID: 34630321
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Blood Metabolite Signature of Metabolic Syndrome Implicates Alterations in Amino Acid Metabolism: Findings from the Baltimore Longitudinal Study of Aging (BLSA) and the Tsuruoka Metabolomics Cohort Study (TMCS).
    Roberts JA; Varma VR; Huang CW; An Y; Oommen A; Tanaka T; Ferrucci L; Elango P; Takebayashi T; Harada S; Iida M; Thambisetty M
    Int J Mol Sci; 2020 Feb; 21(4):. PubMed ID: 32070008
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Targeted High Performance Liquid Chromatography Tandem Mass Spectrometry-based Metabolomics differentiates metabolic syndrome from obesity.
    Zhong F; Xu M; Bruno RS; Ballard KD; Zhu J
    Exp Biol Med (Maywood); 2017 Apr; 242(7):773-780. PubMed ID: 28299975
    [TBL] [Abstract][Full Text] [Related]  

  • 15. A molecular signature for the metabolic syndrome by urine metabolomics.
    Bruzzone C; Gil-Redondo R; Seco M; Barragán R; de la Cruz L; Cannet C; Schäfer H; Fang F; Diercks T; Bizkarguenaga M; González-Valle B; Laín A; Sanz-Parra A; Coltell O; de Letona AL; Spraul M; Lu SC; Buguianesi E; Embade N; Anstee QM; Corella D; Mato JM; Millet O
    Cardiovasc Diabetol; 2021 Jul; 20(1):155. PubMed ID: 34320987
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Identification of candidate metabolite biomarkers for metabolic syndrome and its five components in population-based human cohorts.
    Shi M; Han S; Klier K; Fobo G; Montrone C; Yu S; Harada M; Henning AK; Friedrich N; Bahls M; Dörr M; Nauck M; Völzke H; Homuth G; Grabe HJ; Prehn C; Adamski J; Suhre K; Rathmann W; Ruepp A; Hertel J; Peters A; Wang-Sattler R
    Cardiovasc Diabetol; 2023 Jun; 22(1):141. PubMed ID: 37328862
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Using Machine Learning to Identify Metabolomic Signatures of Pediatric Chronic Kidney Disease Etiology.
    Lee AM; Hu J; Xu Y; Abraham AG; Xiao R; Coresh J; Rebholz C; Chen J; Rhee EP; Feldman HI; Ramachandran VS; Kimmel PL; Warady BA; Furth SL; Denburg MR;
    J Am Soc Nephrol; 2022 Feb; 33(2):375-386. PubMed ID: 35017168
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Liquid chromatography-mass spectrometry untargeted metabolomics reveals increased levels of tryptophan indole metabolites in urine of metabolic syndrome patients.
    Esperanza MG; Wrobel K; Ojeda AG; Garay-Sevilla ME; Escobosa ARC; Barrientos EY; Wrobel K
    Eur J Mass Spectrom (Chichester); 2020 Dec; 26(6):379-387. PubMed ID: 33295818
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Metabolomics reveals plausible interactive effects between dairy product consumption and metabolic syndrome in humans.
    Capel F; Bongard V; Malpuech-Brugère C; Karoly E; Michelotti GA; Rigaudière JP; Jouve C; Ferrières J; Marmonier C; Sébédio JL
    Clin Nutr; 2020 May; 39(5):1497-1509. PubMed ID: 31279616
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 10.