Summary of Study ST002909

This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001809. The data can be accessed directly via it's Project DOI: 10.21228/M8W71R This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.

Study ID	ST002909
Study Title	Plasma metabolomics reveals distinct biological and diagnostic signatures for melioidosis
Study Summary	Rationale: The global burden of sepsis is greatest in low-resource settings. Melioidosis, infection with the Gram-negative bacterium Burkholderia pseudomallei, is a frequent cause of fatal sepsis in endemic tropical regions such as Southeast Asia. Objectives: To investigate whether plasma metabolomics would identify biological pathways specific to melioidosis and yield clinically meaningful biomarkers. Methods: Using a comprehensive approach, differential enrichment of plasma metabolites and pathways was systematically evaluated in individuals selected from a prospective cohort of patients hospitalized in rural Thailand with infection. Statistical and bioinformatics methods were used to distinguish metabolomic features and processes specific to melioidosis patients, and between fatal and non-fatal cases. Measurements and Main Results: Metabolomic profiling and pathway enrichment analysis of plasma samples of melioidosis (n=175) and non-melioidosis infections (n=75) revealed a distinct immuno-metabolic state among patients with melioidosis, as suggested by excessive tryptophan catabolism in the kynurenine pathway and significantly increased levels of sphingomyelins and ceramide species. We derived a 12-metabolite classifier to distinguish melioidosis from other infections, yielding an area under the receiver operating characteristic curve of 0.87 in a second validation set of patients. Melioidosis non-survivors (n=94) had a significantly disturbed metabolome compared to survivors (n=81) with increased leucine, isoleucine and valine metabolism, and elevated circulating free fatty acids and acylcarnitines. A limited 8-metabolite panel showed promise as an early prognosticator of mortality in melioidosis. Conclusions: Melioidosis induces a distinct metabolomic state that can be examined to distinguish underlying pathophysiological mechanisms associated with death. A twelve-metabolite signature accurately differentiates melioidosis from other infections and may have diagnostic applications.
Institute	University of Washington
Last Name	Gharib
First Name	Sina
Address	Center for Lung Biology, 850 Republican St. Seattle WA 98109
Email	sagharib@uw.edu
Phone	206-221-0630
Submit Date	2023-10-03
Analysis Type Detail	Other
Release Date	2023-10-17
Release Version	1

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Factors:

Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)

mb_sample_id	local_sample_id	Group
SA315991	35	control
SA315992	34	control
SA315993	36	control
SA315994	37	control
SA315995	38	control
SA315996	33	control
SA315997	32	control
SA315998	28	control
SA315999	29	control
SA316000	30	control
SA316001	31	control
SA316002	39	control
SA316003	40	control
SA316004	47	control
SA316005	49	control
SA316006	50	control
SA316007	1	control
SA316008	46	control
SA316009	45	control
SA316010	41	control
SA316011	42	control
SA316012	43	control
SA316013	44	control
SA316014	27	control
SA316015	48	control
SA316016	8	control
SA316017	7	control
SA316018	10	control
SA316019	11	control
SA316020	12	control
SA316021	6	control
SA316022	2	control
SA316023	26	control
SA316024	3	control
SA316025	4	control
SA316026	5	control
SA316027	13	control
SA316028	9	control
SA316029	22	control
SA316030	21	control
SA316031	23	control
SA316032	14	control
SA316033	25	control
SA316034	20	control
SA316035	24	control
SA316036	15	control
SA316037	19	control
SA316038	17	control
SA316039	16	control
SA316040	18	control
SA316041	286	culture neg
SA316042	285	culture neg
SA316043	287	culture neg
SA316044	288	culture neg
SA316045	284	culture neg
SA316046	281	culture neg
SA316047	289	culture neg
SA316048	279	culture neg
SA316049	280	culture neg
SA316050	282	culture neg
SA316051	283	culture neg
SA316052	291	culture neg
SA316053	297	culture neg
SA316054	290	culture neg
SA316055	299	culture neg
SA316056	300	culture neg
SA316057	296	culture neg
SA316058	298	culture neg
SA316059	295	culture neg
SA316060	292	culture neg
SA316061	293	culture neg
SA316062	294	culture neg
SA316063	246	ecoli
SA316064	247	ecoli
SA316065	237	ecoli
SA316066	238	ecoli
SA316067	239	ecoli
SA316068	241	ecoli
SA316069	236	ecoli
SA316070	242	ecoli
SA316071	243	ecoli
SA316072	244	ecoli
SA316073	245	ecoli
SA316074	230	ecoli
SA316075	228	ecoli
SA316076	227	ecoli
SA316077	226	ecoli
SA316078	240	ecoli
SA316079	229	ecoli
SA316080	231	ecoli
SA316081	234	ecoli
SA316082	233	ecoli
SA316083	232	ecoli
SA316084	235	ecoli
SA316085	268	klebs
SA316086	274	klebs
SA316087	273	klebs
SA316088	275	klebs
SA316089	276	klebs
SA316090	278	klebs