Summary of Study ST002268

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 PR001450. The data can be accessed directly via it's Project DOI: 10.21228/M89703 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.

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Study IDST002268
Study TitleAutophagy-related protein PIK3C3 maintains healthy brown and white adipose tissues to prevent metabolic diseases
Study TypeLipidomics
Study SummaryAdequate mass and function of adipose tissues (ATs) play an essential role in preventing metabolic perturbations. Pathological reduction of ATs in lipodystrophy leads to an array of metabolic diseases. Understanding the underlying mechanisms may benefit the development of effective therapies. Several cellular processes, including autophagy, function collectively to maintain AT homeostasis. Here, we investigated the impact of adipocyte-specific deletion of the autophagy-related lipid kinase PIK3C3 on AT homeostasis and systemic metabolism in mice. We report that PIK3C3 functions in all ATs and that its absence disturbs adipocyte autophagy and hinders adipocyte differentiation, survival, and function with differential effects on brown and white ATs. These abnormalities caused loss of white ATs, whitening followed by loss of brown ATs, and impaired browning of white ATs. Consequently, mice exhibited compromised thermogenic capacity and developed dyslipidemia, hepatic steatosis, insulin resistance and type 2 diabetes. While these effects of PIK3C3 contrast previous findings with the autophagy-related protein ATG7 in adipocytes, mice with a combined deficiency in both factors revealed a dominant role of the PIK3C3-deficient phenotype. We also found that dietary lipid excess exacerbates AT pathologies caused by PIK3C3 deficiency. Surprisingly, glucose tolerance was spared in adipocyte-specific PIK3C3-deficient mice, a phenotype that was more evident during dietary lipid excess. These findings reveal a crucial yet complex role for PIK3C3 in ATs and suggest the potential of targeting this factor for therapeutic intervention in metabolic diseases.
Institute
Vanderbilt University
DepartmentChemistry
LaboratoryCenter for Innovative Technology
Last NameLeaptrot
First NameKatrina
Address1234 Stevenson Center Ln
Emailkatrina.l.leaptrot@vanderbilt.edu
Phone6158758422
Submit Date2022-08-26
Num Groups4
Total Subjects16
Raw Data AvailableYes
Raw Data File Type(s)d
Analysis Type DetailLC-MS
Release Date2023-02-26
Release Version1
Katrina Leaptrot Katrina Leaptrot
https://dx.doi.org/10.21228/M89703
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

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Project:

Project ID:PR001450
Project DOI:doi: 10.21228/M89703
Project Title:Autophagy-related protein PIK3C3 maintains healthy brown and white adipose tissues to prevent metabolic diseases
Project Type:Lipidomics
Project Summary:Adequate mass and function of adipose tissues (ATs) play an essential role in preventing metabolic perturbations. Pathological reduction of ATs in lipodystrophy leads to an array of metabolic diseases. Understanding the underlying mechanisms may benefit the development of effective therapies. Several cellular processes, including autophagy, function collectively to maintain AT homeostasis. Here, we investigated the impact of adipocyte-specific deletion of the autophagy-related lipid kinase PIK3C3 on AT homeostasis and systemic metabolism in mice. We report that PIK3C3 functions in all ATs and that its absence disturbs adipocyte autophagy and hinders adipocyte differentiation, survival, and function with differential effects on brown and white ATs. These abnormalities caused loss of white ATs, whitening followed by loss of brown ATs, and impaired browning of white ATs. Consequently, mice exhibited compromised thermogenic capacity and developed dyslipidemia, hepatic steatosis, insulin resistance and type 2 diabetes. While these effects of PIK3C3 contrast previous findings with the autophagy-related protein ATG7 in adipocytes, mice with a combined deficiency in both factors revealed a dominant role of the PIK3C3-deficient phenotype. We also found that dietary lipid excess exacerbates AT pathologies caused by PIK3C3 deficiency. Surprisingly, glucose tolerance was spared in adipocyte-specific PIK3C3-deficient mice, a phenotype that was more evident during dietary lipid excess. These findings reveal a crucial yet complex role for PIK3C3 in ATs and suggest the potential of targeting this factor for therapeutic intervention in metabolic diseases.
Institute:Vanderbilt University
Department:Chemistry
Laboratory:Center for Innovative Technology
Last Name:Leaptrot
First Name:Katrina
Address:1234 Stevenson Center Ln
Email:katrina.l.leaptrot@vanderbilt.edu
Phone:6158758422

Subject:

Subject ID:SU002354
Subject Type:Mammal
Subject Species:Mus musculus
Taxonomy ID:10090
Genotype Strain:Pik3c3f/f mice
Age Or Age Range:W24
Gender:Male and female
Animal Animal Supplier:Jackson Laboratory
Animal Housing:pathogen-free conditions at a controlled room temperature
Animal Light Cycle:12-hour light/dark cycle
Animal Feed:regular chow diet (5LOD, LabDiet)
Animal Water:ad lib
Species Group:Mammals

Factors:

Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)

mb_sample_id local_sample_id Genotype Lipid Type
SA217546BAT-KO-S6KO Brown adipose tissue
SA217547BAT-KO-S8KO Brown adipose tissue
SA217548BAT-KO-S5KO Brown adipose tissue
SA217549BAT-KO-S7KO Brown adipose tissue
SA217550VAT-KO-S15KO White adipose tissue
SA217551VAT-KO-S13KO White adipose tissue
SA217552VAT-KO-S14KO White adipose tissue
SA217553VAT-KO-S16KO White adipose tissue
SA217554BAT-WT-S1WT Brown adipose tissue
SA217555BAT-WT-S3WT Brown adipose tissue
SA217556BAT-WT-S4WT Brown adipose tissue
SA217557BAT-WT-S2WT Brown adipose tissue
SA217558VAT-WT-S9WT White adipose tissue
SA217559VAT-WT-S10WT White adipose tissue
SA217560VAT-WT-S11WT White adipose tissue
SA217561VAT-WT-S12WT White adipose tissue
Showing results 1 to 16 of 16

Collection:

Collection ID:CO002347
Collection Summary:Mice were housed under specific pathogen-free conditions, fed with a regular chow diet (5LOD, LabDiet), provided food and water ad lib unless otherwise specified, and maintained on a 12-hour light/dark cycle at a controlled room temperature of 22°C, except for the cold treatment studies. Mice were sacrificed at non-fasting state for further analysis unless otherwise specified.
Collection Protocol Filename:Materials_and_Methods.pdf
Sample Type:Adipose tissue
Storage Conditions:-80℃

Treatment:

Treatment ID:TR002366
Treatment Summary:We generated Adipoq-Cre;Pik3c3f/f (cKO) and Pik3c3f/f (WT) mice and analyzed interscapular BAT (iBAT), inguinal subcutaneous WAT (iWAT), and perigonadal visceral WAT (pWAT).

Sample Preparation:

Sampleprep ID:SP002360
Sampleprep Summary:The iBAT and pWAT was harvestedat sacrifice from mice at W24. Samples were immediately frozen in liquid nitrogen followed by -80°C storage before analysis. Both WT (n=4) and cKO (n=4) mice were analyzed. Adipose tissue samples, ranging from 10-30 mg, were thawed on ice and mixed with 1 mL of cold 1:1:2 (v:v:v) methanol MeOH:ACN:H2O with 50 mM ammonium bicarbonate lysis buffer. Samples were homogenized using a tissue homogenizer operated at 20,000 rpm for 10 seconds to break the tissue, then vortex mixed for 10 seconds. An appropriate volume of lysate was transferred from each sample such that individual samples were normalized based on tissue amount. Following volume adjustment to 200 L, 800 L of cold MeOH was added to the samples. Individual samples were vortexed for 30 seconds and incubated overnight at -80°C for protein precipitation. Following incubation, samples were centrifuged for 15 min at 15,000 rpm at 4°C and the supernatant was transferred to a new labeled tube and dried down using a cold vacuum centrifuge. Samples were reconstituted in 100 L H2O, 100 L MeOH, and 10 μL of SPLASH LIPIDOMIX with vortex mixing after each addition. Samples were incubated at room temperature for 10 min followed
Sampleprep Protocol Filename:Global untargeted lipidomics.pdf

Combined analysis:

Analysis ID AN003705
Analysis type MS
Chromatography type Reversed phase
Chromatography system Agilent 1290
Column Thermo Hypersil Gold (100 x 2.mm,1.9um)
MS Type ESI
MS instrument type QTOF
MS instrument name Agilent 6560 Ion Mobility
Ion Mode POSITIVE
Units retention time underscore m/z

Chromatography:

Chromatography ID:CH002744
Methods Filename:Global_untargeted_lipidomics.pdf
Instrument Name:Agilent 1290
Column Name:Thermo Hypersil Gold (100 x 2.mm,1.9um)
Chromatography Type:Reversed phase

MS:

MS ID:MS003454
Analysis ID:AN003705
Instrument Name:Agilent 6560 Ion Mobility
Instrument Type:QTOF
MS Type:ESI
MS Comments:Data analysis was performed using Progenesis QI software (version 3.0, Nonlinear Dynamics, Newcastle, UK). Retention time alignment, peak picking, and peak deconvolution used default parameters. Spectra were normalized to all compounds, and data were filtered for coefficients of variance < 25% in QC technical replicate injections. A prioritized compound list was generated via a one-factor ANOVA, with four experimental groups for comparison including wild type and Vps34 knockout for both brown and visceral adipose tissue. Lipids were considered to be differentially altered if the p-value < 0.05 and the fold change was greater than Ι2Ι. Significantly changed compounds were selected for annotation. Lipidomic annotations were performed using a previously described classification system with compounds being assigned a confidence level of 1 to 5 (1 being the highest confidence) with improved confidence requiring more supporting evidence such as accurate mass, MS/MS fragmentation, and retention time matching to standards. Lipid annotated were performed with reference to in-house and online databases (MS-DIAL, LipidMatch, and Lipid Annotator). Differentially abundant lipids (DALs) were uploaded into the LIPEA algorithm for pathway enrichment analysis. Corrected p-values were calculated using Benjamini correction and a p-value <0.05 was used to determine significantly affected pathways.
Ion Mode:POSITIVE
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