Dataset Information

Development of MS-based methods for identification and quantification of proteins altered during early pregnancy in dogs

ABSTRACT: Unlike the situation in humans, no specific biomarker has been related to early pregnancy in dogs. Such a biomarker would be beneficial for animal welfare reasons, e.g. in cases when the bitch has been mismated, and would also be of value for the breeder, to enable better planning for an expected litter. In the present study, a shotgun proteomic analysis based on nano-liquid chromatography coupled to high resolution MS was performed to identify differentially expressed proteins during canine pregnancy, and thereafter, a targeted PRM method was developed and applied to absolutely quantify the concentrations of a selection of them.

INSTRUMENT(S): Q Exactive

ORGANISM(S): Canis Familiaris (dog) (canis Lupus Familiaris)

TISSUE(S): Blood Cell, Blood Plasma

SUBMITTER: Alberto Valdés

LAB HEAD: Bodil Ström Holst

PROVIDER: PXD009278 | Pride | 2019-08-20

REPOSITORIES: Pride

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Development of MS-based methods for identification and quantification of proteins altered during early pregnancy in dogs.

Valdés Alberto A Holst Bodil S BS Lindersson Sebastian S Ramström Margareta M

Journal of proteomics 20180910

Increased knowledge on serum protein profiles during early pregnancy in dogs would be valuable for several reasons, including animal welfare. Inflammatory changes during this period have been described. Today, mass spectrometry (MS) is a well-established technique to perform unbiased qualitative and quantitative studies of proteins in body fluids regardless of species. In the present study, a shotgun proteomic analysis based on nano-liquid chromatography-MS was performed to identify proteins of ...[more]

PMID: 30213709

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Project description:During pregnancy, the Zika virus (ZIKV) can be vertically transmitted, causing Congenital Zika Syndrome (CZS) in fetuses. ZIKV infection in early gestational trimesters increases the chances to develop CZS. This syndrome involves several pathologies with a difficult diagnosis, which usually occurs in the postnatal stage. In this work, we aim to identify biological processes and molecular pathways related to CZS development and propose a series of putative protein and metabolite biomarkers for CZS prognosis in early pregnancy trimesters. Twenty-five serum samples of pregnant women were analyzed. For biological analysis, samples were separated into 3 biological groups composed of a control group of healthy pregnant women and two groups of ZIKV-infected pregnant women bearing non- microcephalic and microcephalic fetuses. Control and ZIKV-infected groups - without microcephalic fetuses - were subdivided into healthy and Cognitive Developmental Delay (CDD) newborns for biomarker analysis. We detected over 1,000 proteins and 500 metabolites by bottom-up proteomics and untargeted metabolomics, respectively. Statistical approaches - (t-Student, Limma, ANOVA, and DIABLO) - were applied to find CZS differentially abundant proteins (DAP) and metabolites (DAM). Enrichment analysis (i.e., biological processes and molecular pathways) of the DAP and the DAM allowed us to identify the ECM organization and proteoglycans, amino acid metabolism, and arachidonic acid metabolism as signatures in the CZS development. Five proteins and four metabolites were selected as CZS biomarkers candidates. The protein-based model indicated superior performance values for the Vitamin K-dependent protein S, Selenoprotein P, Inter-alpha- trypsin inhibitor heavy chain H2, Kallistatin, and Protein Z-dependent protease inhibitor proteins. Furthermore, the metabolite-based model was able to predict CZS with a probability of 90%. Serum multi-omics analysis led us to propose for further studies nine potential biomarkers for CZS early prognosis with high sensitivity and specificity.

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