4.7 Article

Association of metabolomic markers and response to nutritional support: A secondary analysis of the EFFORT trial using an untargeted metabolomics approach

期刊

CLINICAL NUTRITION
卷 40, 期 9, 页码 5062-5070

出版社

CHURCHILL LIVINGSTONE
DOI: 10.1016/j.clnu.2021.07.029

关键词

Metabolomics; EFFORT; Risk prediction; Nutritional risk score

资金

  1. Swiss National Science Foundation [PP00P3_150531/1]
  2. Research Council of the Kantonsspital Aarau [1410.000.044]
  3. ETH Zurich
  4. Swiss Foundation for Nutrition Research

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This study investigated the prognostic and therapeutic potential of metabolomic markers in relation to nutritional risk, 30-day mortality, and response to nutritional support. Findings suggest limited predictive and therapeutic potential of metabolomic markers in phenotyping malnutrition and response to nutritional therapy in a heterogeneous population of medical inpatients with different illnesses and comorbidities.
Background & aims: The EFFORT trial reported a substantial risk reduction for adverse events and mortality in medical in-patients receiving a nutritional support intervention. With the use of an untargeted metabolomics approach, we investigated the prognostic and therapeutic potential of metabolomic markers to understand, whether there are distinct metabolic patterns associated with malnutrition risk as assessed by the Nutritional Risk screening (NRS 2002) score, the risk of 30-day mortality and the response to nutritional support, respectively. Methods: Out of the 2088 samples we randomly selected 120 blood samples drawn on day 1 after hospital admission and before treatment initiation. Samples were stratified by NRS 2002, treatment allocation (intervention vs. control), and mortality at 30 days, but not on the type of medical illness. We performed untargeted analysis by liquid chromatography mass spectrometry (LC-MS/MS). Results: We measured 1389 metabolites in 120 patients of which 81 (67.5%) survived until day 30. After filtering, 371 metabolites remained, and 200 were matched to one or more Human Metabolome Data Base (HMDB) entries. Between group analysis showed a slight distinction between the treatment groups for patients with a NRS 3, but not for those with NRS 4 and > 5. C-statistic between those who died and survived at day 30 ranged from 0.49 (95% confidence interval 0.35-0.68) for a combination of 5 me-tabolites/predictors to 0.66 (95% confidence interval 0.53-0.79) for a combination of 100 metabolites. Pathway analysis found significant enrichment in the pathways for nitrogen, vitamin B3 (nicotinate and nicotinamide), leukotriene, and arachidonic acid metabolisms in nutritional support responders compared to non-responders. Conclusion: In our heterogenous population of medical inpatients with different illnesses and comor-bidities, metabolomic markers showed little prognostic and therapeutic potential for better phenotyping malnutrition and response to nutritional therapy. Future studies should focus on more selected patient populations to understand whether a metabolomic approach can advance the nutritional care of patients. (c) 2021 The Author(s). Published by Elsevier Ltd. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).

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