Summary of Study ST001059
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 PR000705. The data can be accessed directly via it's Project DOI: 10.21228/M8JH5X This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
Study ID | ST001059 |
Study Title | Lipidomics for wildlife disease etiology and biomarker discovery: a case study of pansteatitis outbreak in South Africa (part-II) |
Study Type | lipidomics |
Study Summary | Lipidomics is a promising tool to determine biomarkers and elucidate mechanisms associated with anthropogenic-induced stress in wildlife. Therefore, we examine the application of lipidomics for in situ studies on Mozambique tilapia (Oreochromis mossambicus) in Loskop Dam, South Africa. Mortality events of aquatic life associated with an environmentally-derived inflammatory disease, pansteatitis, have occurred in this area. The lipidome of adipose tissue (n = 31) and plasma (n = 51) from tilapia collected from at Loskop Dam were characterized using state of the art liquid chromatography coupled to high-resolution tandem mass spectrometry. Lipid profiles reflected pansteatitis severity and were significantly different between diseased and healthy individuals. Over 13 classes of lipids associated with inflammation, cell death, and/or oxidative damage were upregulated in pansteatitis-affected adipose tissue, including ether-lipids, short-chained triglyceride oxidation products, sphingolipids, and acylcarnitines. Ceramides showed a 1000-fold increase in the most affected adipose tissues, illustrating its potential as sensitive and novel indicators of disease severity. In plasma, triglycerides were found to be downregulated in pansteatitis-affected tilapia. As comprehensive coverage of the lipidome aids in the elucidation of possible disease mechanisms, application of lipidomics could be applied to the understanding of other environmentally-derived inflammatory conditions, such as those caused by obesogens. |
Institute | South East Center for Integrated Metabolomics |
Department | Department of Pathology, Immunology and Laboratory Medicine |
Laboratory | SECIM |
Last Name | Koelmel |
First Name | Jeremy |
Address | Department of Pathology, Immunology and Laboratory Medicine, University of Florida, 1395 Center Dr, Room M641c |
jeremykoelmel@gmail.com | |
Phone | 7187300454 |
Submit Date | 2018-09-13 |
Num Groups | 4 |
Total Subjects | 31 |
Num Males | 19 |
Num Females | 12 |
Study Comments | Adipose tissue |
Publications | submitted to Metabolomics |
Raw Data Available | Yes |
Raw Data File Type(s) | raw(Thermo) |
Analysis Type Detail | LC-MS |
Release Date | 2018-09-27 |
Release Version | 1 |
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Collection:
Collection ID: | CO001098 |
Collection Summary: | Sample Collection and Metadata Fifty one (n=51) Mozambique tilapia (Oreochromis mossambicus) were captured at various locations along the inflow of Loskop Dam, Mpumalanga, South Africa (25 28'22.8 S: 29 15'25.2 E) between May 2-6, 2016. On capture, blood was immediately drawn and collected in lithium heparin 3 mL vacutainers (BD vacutainer, Franklin Lakes, NJ). After the first blood draw, fish were kept in aerated tanks and transported back to the field station for necropsy. All fish work was conducted using the permit and animal handling protocol that was reviewed and approved by the Mpumalanga Tourism and Parks Agency (Project #ES 6/1 ). Upon arrival to the field station, blood was immediately centrifuged in collection tubes and 500 uL of plasma was aliquoted into cryogenic storage vials (Corning, Corning, NY) for lipidomic studies (n=51). Adipose tissue was removed during dissection and flash frozen and stored for lipidomics analysis. Juvenile fish with an ambiguous sex assignment were excluded. Pictures of the whole fish and individual biopsied tissues were taken under consistent lighting in a photo box for documentation. A subset of the sampled fish, representing individuals with varying degrees of disease severity with matched age, size, and weight, were selected for lipidomics of adipose tissue (n=31). |
Sample Type: | Adipose tissue |
Storage Conditions: | -80? |