Metabolomics Coupled with Transcriptomics Approach Deciphering Age Relevance in Sepsis-Reference-Cited by-同舟云学术

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Metabolomics Coupled with Transcriptomics Approach Deciphering Age Relevance in Sepsis

Published:2019 Issue:4 Volume:10 Page:854
ISSN:2152-5250
Container-title:Aging and disease
language:en
Short-container-title:Aging and disease

Author:

Xu Dingqiao,Liao Shanting,Li Pei,Zhang Qian,Lv Yan,Fu Xiaowei,Yang Minghua,Wang Junsong,Kong Lingyi

Publisher

Aging and Disease

Subject

Cell Biology,Clinical Neurology,Geriatrics and Gerontology,Pathology and Forensic Medicine

Link

http://www.aginganddisease.org/fileup/2152-5250/PDF/ad-0-0-0-1811261323-1.pdf

Reference50 articles.

1. Palomba H, Correa TD, Silva E, Pardini A, Assuncao MS (2015). Comparative analysis of survival between elderly and non-elderly severe sepsis and septic shock resuscitated patients. Einstein (Sao Paulo), 13: 357-363.

2. Radé F, Bretagnol F, Auguste M, Di Guisto C, Huten N, Calan L (2014). Determinants of outcome following laparoscopic peritoneal lavage for perforated diverticulitis. Br J Surg, 101:1602-1606; discussion 1606.

3. Greenwood H, Patel J, Mahida R, Wang Q, Parekh D and Dancer RC (2014). Simvastatin to modify neutrophil function in older patients with septic pneumonia (SNOOPI): study protocol for a randomised placebo-controlled trial. Trials, 15: 332.

4. Sfera A, Price AI, Gradini R, Cummings M, Osorio C (2015). Proteomic and epigenomic markers of sepsis-induced delirium (SID). Front Mol Biosci, 2: 59.

5. Bagshaw SM, Webb SA, Delaney A, George C, Pilcher D, Hart GK, et al. (2009). Very old patients admitted to intensive care in Australia and New Zealand: a multi-centre cohort analysis. Crit care, 13: R45.

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2. Cellular specificity of lactate metabolism and a novel lactate-related gene pair index for frontline treatment in clear cell renal cell carcinoma;Frontiers in Oncology;2023-09-19

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4. Exploration of the Shared Gene Signatures between Myocardium and Blood in Sepsis: Evidence from Bioinformatics Analysis;BioMed Research International;2022-08-06

5. Identification of metabolomics-based prognostic prediction models for ICU septic patients;International Immunopharmacology;2022-07

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