Summary of Study ST002361

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 PR001516. The data can be accessed directly via it's Project DOI: 10.21228/M8R12T This work is supported by NIH grant, U2C- DK119886.

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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.

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Study IDST002361
Study TitleUCP2-dependent redox-sensing in POMC neurons regulates feeding
Study SummaryParadoxically, glucose, the primary driver of satiety, activates a small population of anorexigenic POMC neurons. Here we show that lactate levels in the circulation and in the cerebrospinal fluid are elevated in fed state and addition of lactate to glucose activates the majority of POMC neurons while increasing cytosolic NADH generation, mitochondrial respiration and extracellular pyruvate levels. Inhibition of lactate dehydrogenases diminishes mitochondrial respiration, NADH production, and POMC neuronal activity. However, inhibition of the mitochondrial pyruvate carrier has no effect. POMC-specific downregulation of Ucp2 (Ucp2PomcKO), a molecule regulated by fatty acid metabolism and shown to play a role as transporter in the malate-aspartate shuttle, abolishes lactate- and glucose-sensing of POMC neurons. Ucp2PomcKO mice have impaired glucose metabolism and are prone to obesity on a high fat diet. Altogether, our data show that lactate through redox signaling and blocking mitochondrial glucose utilization activates POMC neurons to regulate feeding and glucose metabolism.
Institute
Columbia University
Last NameDiano
First NameSabrina
Address1150 St. Nicholas Avenue Russ Berrie Medical Science Pavilion Rm 405 New York, NY, 10032
Emailsd3449@cumc.columbia.edu
Phone212 8514554
Submit Date2022-11-28
Raw Data AvailableYes
Raw Data File Type(s)mzML
Analysis Type DetailLC-MS
Release Date2022-12-15
Release Version1
Sabrina Diano Sabrina Diano
https://dx.doi.org/10.21228/M8R12T
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Combined analysis:

Analysis ID AN003855 AN003856
Analysis type MS MS
Chromatography type Reversed phase Unspecified
Chromatography system SCIEX ExionLC SCIEX ExionLC
Column Phenomenex Kinetex F5 Core-shell LC (100 x 2.1 mm,2.6um) Thermo Scientific Hypercarb (100 x 4.6 mm,3um)
MS Type ESI ESI
MS instrument type Triple TOF Triple TOF
MS instrument name ABI Sciex 6600 TripleTOF ABI Sciex 6600 TripleTOF
Ion Mode POSITIVE NEGATIVE
Units peak area peak area

MS:

MS ID:MS003596
Analysis ID:AN003855
Instrument Name:ABI Sciex 6600 TripleTOF
Instrument Type:Triple TOF
MS Type:ESI
MS Comments:Data were collected using an information-dependent analysis (IDA) workflow consisting of a TOF MS scan (200 msec) and a high-resolution IDA experiment (70 msec each) monitoring 10 candidate ions per cycle. Former target ions were excluded after 2 occurrences for 5 seconds and dynamic background subtraction was employed. The mass range for both TOF MS and IDA MS/MS scans was 60-1000. Ion spray voltage = 5000 V; ion source gas 1 (GS1) = 50 psi, ion source gas 2 (GS2) = 50 psi, curtain gas (CUR) = 30 psi, temperature (TEM) = 400 oC. declustering potential (DP) = 35 V, collision energy (CE) = 30 V, collision energy spread (CES) = 20 V. El-MAVEN software (Elucidata.io) was used for peak picking and curation from house built targeted and untargeted libraries. Targeted libraries were developed using a commercial standard kit of ~600 metabolites (IROA Technologies) in each mode, yielding reference data (molecular ions and retention times) with wide coverage of the endogenous metabolome. Untargeted libraries contained ~2,700 metabolites drawn from the KEGG database where the top 5 candidates with the highest intensity throughout a sample run for each metabolite were automatically curated.
Ion Mode:POSITIVE
  
MS ID:MS003597
Analysis ID:AN003856
Instrument Name:ABI Sciex 6600 TripleTOF
Instrument Type:Triple TOF
MS Type:ESI
MS Comments:Data were collected using an information-dependent analysis (IDA) workflow consisting of a TOF MS scan (200 msec) and a high-resolution IDA experiment (70 msec each) monitoring 10 candidate ions per cycle. Former target ions were excluded after 2 occurrences for 5 seconds and dynamic background subtraction was employed. The mass range for both TOF MS and IDA MS/MS scans was 70-1000. Ion spray voltage = -4500V, ion source gas 1 (GS1) = 50 psi, ion source gas 2 (GS2) = 50 psi, curtain gas (CUR) = 30 psi, temperature (TEM) = 500 oC.declustering potential (DP) = 35 V, collision energy (CE) = 30 V, collision energy spread (CES) = 20 V. El-MAVEN software (Elucidata.io) was used for peak picking and curation from house built targeted and untargeted libraries. Targeted libraries were developed using a commercial standard kit of ~600 metabolites (IROA Technologies) in each mode, yielding reference data (molecular ions and retention times) with wide coverage of the endogenous metabolome. Untargeted libraries contained ~2,700 metabolites drawn from the KEGG database where the top 5 candidates with the highest intensity throughout a sample run for each metabolite were automatically curated.
Ion Mode:NEGATIVE
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