BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

131 related articles for article (PubMed ID: 38191178)

  • 1. Study Profile of the Tsuruoka Metabolomics Cohort Study (TMCS).
    Harada S; Iida M; Miyagawa N; Hirata A; Kuwabara K; Matsumoto M; Okamura T; Edagawa S; Kawada Y; Miyake A; Toki R; Akiyama M; Kawai A; Sugiyama D; Sato Y; Takemura R; Fukai K; Ishibashi Y; Kato S; Kurihara A; Sata M; Shibuki T; Takeuchi A; Kohsaka S; Sawano M; Shoji S; Izawa Y; Katsumata M; Oki K; Takahashi S; Takizawa T; Maruya H; Nishiwaki Y; Kawasaki R; Hirayama A; Ishikawa T; Saito R; Sato A; Soga T; Sugimoto M; Tomita M; Komaki S; Ohmomo H; Ono K; Otsuka-Yamasaki Y; Shimizu A; Sutoh Y; Hozawa A; Kinoshita K; Koshiba S; Kumada K; Ogishima S; Sakurai-Yageta M; Tamiya G; Takebayashi T
    J Epidemiol; 2024 Jan; ():. PubMed ID: 38191178
    [TBL] [Abstract][Full Text] [Related]  

  • 2. 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]  

  • 3. Blood Metabolite Signatures of Metabolic Syndrome in Two Cross-Cultural Older Adult Cohorts.
    Mahajan UV; Varma VR; Huang CW; An Y; Tanaka T; Ferrucci L; Takebayashi T; Harada S; Iida M; Legido-Quigley C; Thambisetty M
    Int J Mol Sci; 2020 Feb; 21(4):. PubMed ID: 32079087
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Metabolomics profiles alterations in cigarette smokers and heated tobacco product users.
    Harada S; Ohmomo H; Matsumoto M; Sata M; Iida M; Hirata A; Miyagawa N; Kuwabara K; Kato S; Toki R; Edagawa S; Sugiyama D; Sato A; Hirayama A; Sugimoto M; Soga T; Tomita M; Shimizu A; Okamura T; Takebayashi T
    J Epidemiol; 2023 Nov; ():. PubMed ID: 37926518
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Folic acid supplementation and malaria susceptibility and severity among people taking antifolate antimalarial drugs in endemic areas.
    Crider K; Williams J; Qi YP; Gutman J; Yeung L; Mai C; Finkelstain J; Mehta S; Pons-Duran C; Menéndez C; Moraleda C; Rogers L; Daniels K; Green P
    Cochrane Database Syst Rev; 2022 Feb; 2(2022):. PubMed ID: 36321557
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Human Early Life Exposome (HELIX) study: a European population-based exposome cohort.
    Maitre L; de Bont J; Casas M; Robinson O; Aasvang GM; Agier L; Andrušaitytė S; Ballester F; Basagaña X; Borràs E; Brochot C; Bustamante M; Carracedo A; de Castro M; Dedele A; Donaire-Gonzalez D; Estivill X; Evandt J; Fossati S; Giorgis-Allemand L; R Gonzalez J; Granum B; Grazuleviciene R; Bjerve Gützkow K; Småstuen Haug L; Hernandez-Ferrer C; Heude B; Ibarluzea J; Julvez J; Karachaliou M; Keun HC; Hjertager Krog N; Lau CE; Leventakou V; Lyon-Caen S; Manzano C; Mason D; McEachan R; Meltzer HM; Petraviciene I; Quentin J; Roumeliotaki T; Sabido E; Saulnier PJ; Siskos AP; Siroux V; Sunyer J; Tamayo I; Urquiza J; Vafeiadi M; van Gent D; Vives-Usano M; Waiblinger D; Warembourg C; Chatzi L; Coen M; van den Hazel P; Nieuwenhuijsen MJ; Slama R; Thomsen C; Wright J; Vrijheid M
    BMJ Open; 2018 Sep; 8(9):e021311. PubMed ID: 30206078
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Metabolic profiling of charged metabolites in association with menopausal status in Japanese community-dwelling midlife women: Tsuruoka Metabolomic Cohort Study.
    Watanabe K; Iida M; Harada S; Kato S; Kuwabara K; Kurihara A; Takeuchi A; Sugiyama D; Okamura T; Suzuki A; Amano K; Hirayama A; Sugimoto M; Soga T; Tomita M; Kobayashi Y; Banno K; Aoki D; Takebayashi T
    Maturitas; 2022 Jan; 155():54-62. PubMed ID: 34876249
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Study Profile of the Tohoku Medical Megabank Community-Based Cohort Study.
    Hozawa A; Tanno K; Nakaya N; Nakamura T; Tsuchiya N; Hirata T; Narita A; Kogure M; Nochioka K; Sasaki R; Takanashi N; Otsuka K; Sakata K; Kuriyama S; Kikuya M; Tanabe O; Sugawara J; Suzuki K; Suzuki Y; Kodama EN; Fuse N; Kiyomoto H; Tomita H; Uruno A; Hamanaka Y; Metoki H; Ishikuro M; Obara T; Kobayashi T; Kitatani K; Takai-Igarashi T; Ogishima S; Satoh M; Ohmomo H; Tsuboi A; Egawa S; Ishii T; Ito K; Ito S; Taki Y; Minegishi N; Ishii N; Nagasaki M; Igarashi K; Koshiba S; Shimizu R; Tamiya G; Nakayama K; Motohashi H; Yasuda J; Shimizu A; Hachiya T; Shiwa Y; Tominaga T; Tanaka H; Oyama K; Tanaka R; Kawame H; Fukushima A; Ishigaki Y; Tokutomi T; Osumi N; Kobayashi T; Nagami F; Hashizume H; Arai T; Kawaguchi Y; Higuchi S; Sakaida M; Endo R; Nishizuka S; Tsuji I; Hitomi J; Nakamura M; Ogasawara K; Yaegashi N; Kinoshita K; Kure S; Sakai A; Kobayashi S; Sobue K; Sasaki M; Yamamoto M
    J Epidemiol; 2021 Jan; 31(1):65-76. PubMed ID: 31932529
    [TBL] [Abstract][Full Text] [Related]  

  • 9. Charged metabolite biomarkers of food intake assessed via plasma metabolomics in a population-based observational study in Japan.
    Shibutami E; Ishii R; Harada S; Kurihara A; Kuwabara K; Kato S; Iida M; Akiyama M; Sugiyama D; Hirayama A; Sato A; Amano K; Sugimoto M; Soga T; Tomita M; Takebayashi T
    PLoS One; 2021; 16(2):e0246456. PubMed ID: 33566801
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Omics research project on prospective cohort studies from the Tohoku Medical Megabank Project.
    Koshiba S; Motoike I; Saigusa D; Inoue J; Shirota M; Katoh Y; Katsuoka F; Danjoh I; Hozawa A; Kuriyama S; Minegishi N; Nagasaki M; Takai-Igarashi T; Ogishima S; Fuse N; Kure S; Tamiya G; Tanabe O; Yasuda J; Kinoshita K; Yamamoto M
    Genes Cells; 2018 Jun; 23(6):406-417. PubMed ID: 29701317
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Metabolomic predictors of phenotypic traits can replace and complement measured clinical variables in population-scale expression profiling studies.
    Niehues A; Bizzarri D; Reinders MJT; Slagboom PE; van Gool AJ; van den Akker EB; ; ; 't Hoen PAC
    BMC Genomics; 2022 Jul; 23(1):546. PubMed ID: 35907790
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Integrative Analysis of Multi-omics Data for Discovery and Functional Studies of Complex Human Diseases.
    Sun YV; Hu YJ
    Adv Genet; 2016; 93():147-90. PubMed ID: 26915271
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Exploring the "gene-protein-metabolite" network of coronary heart disease with phlegm and blood stasis syndrome by integrated multi-omics strategy.
    Yang G; Zhou S; He H; Shen Z; Liu Y; Hu J; Wang J
    Front Pharmacol; 2022; 13():1022627. PubMed ID: 36523490
    [No Abstract]   [Full Text] [Related]  

  • 14. Multi-omic signature of body weight change: results from a population-based cohort study.
    Wahl S; Vogt S; Stückler F; Krumsiek J; Bartel J; Kacprowski T; Schramm K; Carstensen M; Rathmann W; Roden M; Jourdan C; Kangas AJ; Soininen P; Ala-Korpela M; Nöthlings U; Boeing H; Theis FJ; Meisinger C; Waldenberger M; Suhre K; Homuth G; Gieger C; Kastenmüller G; Illig T; Linseisen J; Peters A; Prokisch H; Herder C; Thorand B; Grallert H
    BMC Med; 2015 Mar; 13():48. PubMed ID: 25857605
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Metabolomics Signatures of Aging: Recent Advances.
    Adav SS; Wang Y
    Aging Dis; 2021 Apr; 12(2):646-661. PubMed ID: 33815888
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Multi-omics systems toxicology study of mouse lung assessing the effects of aerosols from two heat-not-burn tobacco products and cigarette smoke.
    Titz B; Szostak J; Sewer A; Phillips B; Nury C; Schneider T; Dijon S; Lavrynenko O; Elamin A; Guedj E; Tsin Wong E; Lebrun S; Vuillaume G; Kondylis A; Gubian S; Cano S; Leroy P; Keppler B; Ivanov NV; Vanscheeuwijck P; Martin F; Peitsch MC; Hoeng J
    Comput Struct Biotechnol J; 2020; 18():1056-1073. PubMed ID: 32419906
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Rationale, design, and profile of the Three-Prefecture Cohort in Japan: A 15-year follow-up.
    Sado J; Kitamura T; Kitamura Y; Zha L; Liu R; Sobue T; Nishino Y; Tanaka H; Nakayama T; Tsuji I; Ito H; Suzuki T; Katanoda K; Tominaga S;
    J Epidemiol; 2017 Apr; 27(4):193-199. PubMed ID: 28142030
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Overview of the epidemiology methods and applications: strengths and limitations of observational study designs.
    Colditz GA
    Crit Rev Food Sci Nutr; 2010; 50 Suppl 1(s1):10-2. PubMed ID: 21132580
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Multi-Omics Integration in a Twin Cohort and Predictive Modeling of Blood Pressure Values.
    Drouard G; Ollikainen M; Mykkänen J; Raitakari O; Lehtimäki T; Kähönen M; Mishra PP; Wang X; Kaprio J
    OMICS; 2022 Mar; 26(3):130-141. PubMed ID: 35259029
    [TBL] [Abstract][Full Text] [Related]  

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

    [Next]    [New Search]
    of 7.