Summary of Study ST002994

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 PR001864. The data can be accessed directly via it's Project DOI: 10.21228/M8S425 This work is supported by NIH grant, U2C- DK119886.

See: https://www.metabolomicsworkbench.org/about/howtocite.php

Perform statistical analysis  |  Show all samples  |  Show named metabolites  |  Download named metabolite data  
Download mwTab file (text)   |  Download mwTab file(JSON)
Study IDST002994
Study TitleIntegrating uterine microbiome and metabolome to advance the understanding of the uterine environment in dairy cows with metritis
Study SummaryBackground: Metritis is a prevalent uterine disease that affects the welfare, fertility, and survival of dairy cows. The uterine microbiome from cows that develop metritis and those that remain healthy do not differ from calving until 2 days after calving, after which there is a dysbiosis of the uterine microbiome characterized by a shift towards opportunistic pathogens such as Fusobacteriota and Bacteroidota. Whether these opportunistic pathogens proliferate and overtake the uterine commensals could be determined by the type of substrates present in the uterus. The objective of this study was to integrate uterine metabolome and microbiome data to advance the understanding of metritis development in dairy cows. Holstein cows (n = 104) had uterine fluid collected at calving and at the day of metritis diagnosis. Cows with metritis (n = 52) were paired with cows without metritis (n = 52) based on days after calving. First, the uterine metabolome and microbiome were evaluated individually, and then integrated using network analyses. Results: The uterine metabolome differed both at calving and on the day of metritis diagnosis between cows with and without metritis. The uterine microbiome did not differ at calving but differed on the day of metritis diagnosis between cows with and without metritis. Omics integration was performed between 153 significant metabolites and 6 significant bacteria genera on the day of metritis diagnosis. A total of 49 metabolites were correlated with 3 bacteria genera (i.e. Fusobacteria, Porphyromonas and Bacteroides) on the day of metritis diagnosis. The main metabolites have been associated with attenuation of biofilm formation by commensal bacteria, pathogenic bacterial overgrowth, defense mechanisms against the immune system, tissue damage and inflammation, and immune dysregulation. Conclusions: The data integration presented herein helps advance the understanding of metritis development in dairy cows. The identified metabolites may be promising targets for future interventions aiming to reduce pathogenic bacterial growth in the uterus, and therefore, reducing the incidence of metritis.
Institute
University of Florida
Last NameCasaro
First NameSegundo
Address117 Deriso Hall, 2015 SW 16th Ave., Gainesville, FL 32610
Emailsegundocasaro@ufl.edu
Phone3522844016
Submit Date2023-11-30
Analysis Type DetailGC-MS
Release Date2024-03-01
Release Version1
Segundo Casaro Segundo Casaro
https://dx.doi.org/10.21228/M8S425
ftp://www.metabolomicsworkbench.org/Studies/ application/zip

Select appropriate tab below to view additional metadata details:


Combined analysis:

Analysis ID AN004918
Analysis type MS
Chromatography type GC
Chromatography system Leco Pegasus IV GC
Column Restek Rtx-5Sil MS (30m x 0.25mm, 0.25um)
MS Type EI
MS instrument type GC-TOF
MS instrument name Leco Pegasus IV TOF
Ion Mode POSITIVE
Units peak heights

MS:

MS ID:MS004661
Analysis ID:AN004918
Instrument Name:Leco Pegasus IV TOF
Instrument Type:GC-TOF
MS Type:EI
MS Comments:Data are acquired using the following chromatographic parameters, with more details to be found in Fiehn O. et al. Plant J. 53 (2008) 691–704. Column: Restek corporation Rtx-5Sil MS (30 m length x 0.25 mm internal diameter with 0.25 μm film made of 95% dimethyl/5%diphenylpolysiloxane) Mobile phase: Helium Column temperature: 50-330°C Flow- rate: 1 mL min-1 Injection volume: 0.5 μL Injection: 25 splitless time into a multi-baffled glass liner Injection temperature: 50°C ramped to 250°C by 12°C s-1 Oven temperature program: 50°C for 1 min, then ramped at 20°C min-1 to 330°C, held constant for 5 min. The analytical GC column is protected by a 10 m long empty guard column which is cut by 20 cm intervals whenever the reference mixture QC samples indicate problems caused by column contaminations. We have validated that at this sequence of column cuts, no detrimental effects are detected with respect to peak shapes, absolute or relative metabolite retention times or reproducibility of quantifications. This chromatography method yields excellent retention and separation of primary metabolite classes (amino acids, hydroxyl acids, carbohydrates, sugar acids, sterols, aromatics, nucleosides, amines and miscellaneous compounds) with narrow peak widths of 2–3 s and very good within-series retention time reproducibility of better than 0.2 s absolute deviation of retention times. We use automatic liner exchanges after each set of 10 injections which we could show to reduce sample carryover for highly lipophilic compounds such as free fatty acids. Mass spectrometry parameters are used as follows: a Leco Pegasus IV mass spectrometer is used with unit mass resolution at 17 spectra s-1 from 80-500 Da at - 70 eV ionization energy and 1800 V detector voltage with a 230°C transfer line and a 250°C ion source.
Ion Mode:POSITIVE
  logo