176 related articles for article (PubMed ID: 29703925)
1. An Innovative Approach for The Integration of Proteomics and Metabolomics Data In Severe Septic Shock Patients Stratified for Mortality.
Cambiaghi A; Díaz R; Martinez JB; Odena A; Brunelli L; Caironi P; Masson S; Baselli G; Ristagno G; Gattinoni L; de Oliveira E; Pastorelli R; Ferrario M
Sci Rep; 2018 Apr; 8(1):6681. PubMed ID: 29703925
[TBL] [Abstract][Full Text] [Related]
2. Mortality prediction in patients with severe septic shock: a pilot study using a target metabolomics approach.
Ferrario M; Cambiaghi A; Brunelli L; Giordano S; Caironi P; Guatteri L; Raimondi F; Gattinoni L; Latini R; Masson S; Ristagno G; Pastorelli R
Sci Rep; 2016 Feb; 6():20391. PubMed ID: 26847922
[TBL] [Abstract][Full Text] [Related]
3. Application of LC-MS-based metabolomics method in differentiating septic survivors from non-survivors.
Liu Z; Yin P; Amathieu R; Savarin P; Xu G
Anal Bioanal Chem; 2016 Nov; 408(27):7641-7649. PubMed ID: 27614981
[TBL] [Abstract][Full Text] [Related]
4. Characterization of a metabolomic profile associated with responsiveness to therapy in the acute phase of septic shock.
Cambiaghi A; Pinto BB; Brunelli L; Falcetta F; Aletti F; Bendjelid K; Pastorelli R; Ferrario M
Sci Rep; 2017 Aug; 7(1):9748. PubMed ID: 28851978
[TBL] [Abstract][Full Text] [Related]
5. Metabolomics as a novel approach for early diagnosis of pediatric septic shock and its mortality.
Mickiewicz B; Vogel HJ; Wong HR; Winston BW
Am J Respir Crit Care Med; 2013 May; 187(9):967-76. PubMed ID: 23471468
[TBL] [Abstract][Full Text] [Related]
6. Early prognostic factors in septic shock cancer patients: a prospective study with a proteomic approach.
Mokart D; Saillard C; Zemmour C; Bisbal M; Sannini A; Chow-Chine L; Brun JP; Faucher M; Boher JM; Toiron Y; Chabannon C; Borg JP; Gonçalves A; Camoin L
Acta Anaesthesiol Scand; 2018 Apr; 62(4):493-503. PubMed ID: 29315472
[TBL] [Abstract][Full Text] [Related]
7. Mass spectrometry for the discovery of biomarkers of sepsis.
Ludwig KR; Hummon AB
Mol Biosyst; 2017 Mar; 13(4):648-664. PubMed ID: 28207922
[TBL] [Abstract][Full Text] [Related]
8. Untargeted Metabolomics Differentiates l-Carnitine Treated Septic Shock 1-Year Survivors and Nonsurvivors.
Evans CR; Karnovsky A; Puskarich MA; Michailidis G; Jones AE; Stringer KA
J Proteome Res; 2019 May; 18(5):2004-2011. PubMed ID: 30895797
[TBL] [Abstract][Full Text] [Related]
9. Evaluation of the anti-hypertensive effect of Tengfu Jiangya tablet by combination of UPLC-Q-exactive-MS-based metabolomics and iTRAQ-based proteomics technology.
Tian Y; Jiang F; Li Y; Jiang H; Chu Y; Zhu L; Guo W
Biomed Pharmacother; 2018 Apr; 100():324-334. PubMed ID: 29453042
[TBL] [Abstract][Full Text] [Related]
10. Comparative analysis of targeted metabolomics: dominance-based rough set approach versus orthogonal partial least square-discriminant analysis.
Blasco H; Błaszczyński J; Billaut JC; Nadal-Desbarats L; Pradat PF; Devos D; Moreau C; Andres CR; Emond P; Corcia P; Słowiński R
J Biomed Inform; 2015 Feb; 53():291-9. PubMed ID: 25499899
[TBL] [Abstract][Full Text] [Related]
11. Metabolomics and proteomics technologies to explore the herbal preparation affecting metabolic disorders using high resolution mass spectrometry.
Zhang A; Zhou X; Zhao H; Zou S; Ma CW; Liu Q; Sun H; Liu L; Wang X
Mol Biosyst; 2017 Jan; 13(2):320-329. PubMed ID: 28045158
[TBL] [Abstract][Full Text] [Related]
12. What computational non-targeted mass spectrometry-based metabolomics can gain from shotgun proteomics.
Hamzeiy H; Cox J
Curr Opin Biotechnol; 2017 Feb; 43():141-146. PubMed ID: 28039739
[TBL] [Abstract][Full Text] [Related]
13. Metabolomics of papillary thyroid carcinoma tissues: potential biomarkers for diagnosis and promising targets for therapy.
Shang X; Zhong X; Tian X
Tumour Biol; 2016 Aug; 37(8):11163-75. PubMed ID: 26935059
[TBL] [Abstract][Full Text] [Related]
14. UPLC-MS(E) application in disease biomarker discovery: the discoveries in proteomics to metabolomics.
Zhao YY; Lin RC
Chem Biol Interact; 2014 May; 215():7-16. PubMed ID: 24631021
[TBL] [Abstract][Full Text] [Related]
15. Advanced liquid chromatography-mass spectrometry enables merging widely targeted metabolomics and proteomics.
Liu W; Song Q; Cao Y; Zhao Y; Huo H; Wang Y; Song Y; Li J; Tu P
Anal Chim Acta; 2019 Sep; 1069():89-97. PubMed ID: 31084745
[TBL] [Abstract][Full Text] [Related]
16. Gene and protein expressions and metabolomics exhibit activated redox signaling and wnt/β-catenin pathway are associated with metabolite dysfunction in patients with chronic kidney disease.
Chen DQ; Cao G; Chen H; Liu D; Su W; Yu XY; Vaziri ND; Liu XH; Bai X; Zhang L; Zhao YY
Redox Biol; 2017 Aug; 12():505-521. PubMed ID: 28343144
[TBL] [Abstract][Full Text] [Related]
17. Analysis of the Human Adult Urinary Metabolome Variations with Age, Body Mass Index, and Gender by Implementing a Comprehensive Workflow for Univariate and OPLS Statistical Analyses.
Thévenot EA; Roux A; Xu Y; Ezan E; Junot C
J Proteome Res; 2015 Aug; 14(8):3322-35. PubMed ID: 26088811
[TBL] [Abstract][Full Text] [Related]
18. Mass spectrometry: from proteomics to metabolomics and lipidomics.
Griffiths WJ; Wang Y
Chem Soc Rev; 2009 Jul; 38(7):1882-96. PubMed ID: 19551169
[TBL] [Abstract][Full Text] [Related]
19. Metabolomics of trauma-associated death: shared and fluid-specific features of human plasma vs lymph.
D'alessandro A; Nemkov T; Moore HB; Moore EE; Wither M; Nydam T; Slaughter A; Silliman CC; Banerjee A; Hansen KC
Blood Transfus; 2016 May; 14(2):185-94. PubMed ID: 27177401
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]