简介：AbstractObjective:The aim of this work was to explore the feasibility of in vivo and non-invasive monitoring of deuterium/hydrogen (2H/1H) exchange at the metabolic level upon exposure to heavy water (2H2O).Methods:The healthy female mice were randomly assigned to two groups after day 0 when both mice received standard drinking water. The treated mouse was fed with 2H2O (80%, v/v) and the control mouse fed with standard drinking water (H2O) over next 13 days. Real-time mass spectrometric analysis of volatile metabolism emitted through breathing and the skin was performed on days 1, 2, 3, 10, 12, and 13. Animal experiment was approved by the Laboratory Animal Ethics Committee of Jinan University (approval No. 20161117163322) on October 29, 2021.Results:We observed a replacement of 1H by 2H in 52 mass spectral features (60 2H/1H isotopologue pairs) for the mouse fed with 2H2O, but not for the control mouse. These included pyruvic acid and lactic acid, lysine and methyl-lysine as well as short-chain fatty acids comprising acetic acid, propionic acid, butyric acid and valeric acid.Conclusion:Secondary electrospray ionization-high resolution mass spectrometry allows monitoring in vivo2H-incorporation of metabolites in a non-invasive and real-time setup and opens new opportunities to use 2H tracing to extend current metabolic studies, especially those with a focus on anaerobic glycolysis, lysine methylation and gut microbiome via monitoring of short-chain fatty acids.

简介：AbstractBackground:In-hospital mortality in patients with coronavirus disease 2019 (COVID-19) is high. Simple prognostic indices are needed to identify patients at high-risk of COVID-19 health outcomes. We aimed to determine the usefulness of the CONtrolling NUTritional status (CONUT) index as a potential prognostic indicator of mortality in COVID-19 patients upon hospital admission.Methods:Our study design is of a retrospective observational study in a large cohort of COVID-19 patients. In addition to descriptive statistics, a Kaplan-Meier mortality analysis and a Cox regression were performed, as well as receiver operating curve (ROC).Results:From February 5, 2020 to January 21, 2021, there was a total of 2969 admissions for COVID-19 at our hospital, corresponding to 2844 patients. Overall, baseline (within 4 days of admission) CONUT index could be scored for 1627 (57.2%) patients. Patients’ age was 67.3 ± 16.5 years and 44.9% were women. The CONUT severity distribution was: 194 (11.9%) normal (0-1); 769 (47.2%) light (2-4); 585 (35.9%) moderate (5-8); and 79 (4.9%) severe (9-12). Mortality of 30 days after admission was 3.1% in patients with normal risk CONUT, 9.0% light, 22.7% moderate, and 40.5% in those with severe CONUT (P < 0.05). An increased risk of death associated with a greater baseline CONUT stage was sustained in a multivariable Cox regression model (P < 0.05). An increasing baseline CONUT stage was associated with a longer duration of admission, a greater requirement for the use of non-invasive and invasive mechanical ventilation, and other clinical outcomes (all P < 0.05). The ROC of CONUT for mortality had an area under the curve (AUC) and 95% confidence interval of 0.711 (0.676-0746).Conclusion:The CONUT index upon admission is potentially a reliable and independent prognostic indicator of mortality and length of hospitalization in COVID-19 patients.

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