PXD058489 is an
original dataset announced via ProteomeXchange.
Dataset Summary
Title | A disease of metabolism: Defining lipedema’s molecular hallmarks by multi-omics approach for disease prediction |
Description | Characterized by pathologic subcutaneous adipose tissue development in the limbs, lipedema is a chronic disease in women. Molecular disease pathways and potential drug target genes remain to be found. In this study, we investigated the molecular and cellular hallmarks of lipedema using a multi-omics approach. We found adipokine dysregulation in early stage lipedema patients, which points towards the adipocyte as a key player. Unexpectedly, lipedema patients’ serum lactosyl- and hexosyl-sphingolipids increased compared to control subjects, when adjusted for age. Additionally, we observed immune cell exclusion from adipose tissue in lipedema patients. In subjects with lipedema, both expression of genes in VEGF signaling pathways (blood vessel/vascular development) as well as VEGF protein levels in serum increased. Expression of genes in the inflammatory response pathway points towards the absence of adipose tissue inflammation, and is in line with reduced serum inflammatory markers IL5 and FLT3L. The systemic reduction of serum glutamic acid levels, regulation of protein and RNA glutamic—pyruvic transaminase and reduced glutathione levels could link reduced inflammation with metabolic processes. The protein pathways for blood coagulation, and regulation of body fluid levels are most strongly down regulated. There is a case to be made that lipedema could be caused by dysregulation of metabolism that leads to immune cell exclusion. These findings provide new insights into the pathogenesis of lipedema and suggest potential targets for therapeutic intervention. Last but not least we used machine learning to train support vector machine based models with either serum sphingolipids and adipokines or adipose tissue RNA to predict the lipedema phenotype at a high accuracy. |
HostingRepository | PRIDE |
AnnounceDate | 2025-03-17 |
AnnouncementXML | Submission_2025-03-17_10:36:57.067.xml |
DigitalObjectIdentifier | https://dx.doi.org/10.6019/PXD058489 |
ReviewLevel | Peer-reviewed dataset |
DatasetOrigin | Original dataset |
RepositorySupport | Supported dataset by repository |
PrimarySubmitter | Paul Langlais |
SpeciesList | scientific name: Homo sapiens (Human); NCBI TaxID: 9606; |
ModificationList | phosphorylated residue; acetylated residue; monohydroxylated residue |
Instrument | Orbitrap Fusion Lumos |
Dataset History
Revision | Datetime | Status | ChangeLog Entry |
0 | 2024-12-02 13:25:07 | ID requested | |
⏵ 1 | 2025-03-17 10:36:57 | announced | |
Publication List
Keyword List
submitter keyword: Menopause, adipose,lipedema |
Contact List
Leon Straub |
contact affiliation | UT Southwestern |
contact email | Leon.Straub@UTSouthwestern.edu |
lab head | |
Paul Langlais |
contact affiliation | University of Arizona |
contact email | langlais@deptofmed.arizona.edu |
dataset submitter | |
Full Dataset Link List
Dataset FTP location
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PRIDE project URI |
Repository Record List
[ + ]
[ - ]
- PRIDE
- PXD058489
- Label: PRIDE project
- Name: A disease of metabolism: Defining lipedema’s molecular hallmarks by multi-omics approach for disease prediction