Comprehensive LC-HRMS metabolomics analyses for the estimation of environmental inputs of altrenogest in pig breeding

Liesenfeld, Sabrina; Steliopoulos, Panagiotis; Wenig, Svenja; Gottstein, Vera; Hamscher, Gerd

doi:10.1016/j.chemosphere.2021.132353

Cited by 7 publications

(2 citation statements)

References 26 publications

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“…[5] Im Folgenden wird die Vorgehensweise eines metabolischen "Fingerprintings" beschrieben und ihr Mehrwert an zwei Bespielen illustriert. [6,7] Metabolomic-Fingerprinting: Vom Non-Targeted-Screening zur Biomarker-Identifizierung Ein typischer Workflow besteht aus (1) einer Probenaufarbeitung, die möglichst viele Metabolite erfasst, (2) einer Non-Targeted-LC-HRMS-Analyse, (3) einer Datenprozessierung zur Erzeugung einer Peak-Liste mit allen Analyten von allen Proben, (4) chemometrischen Analysen zur Differenzierung von verschiede-nen Testgruppen, (5) der Identifizierung von unbekannten Analyten, (6) der biologischen Interpretation durch Stoffwechselweganalysen und (7) der Etablierung von Biomarkern.…”

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Metabolomics

2022

Lebensmittelchemie

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Metabolomics

2022

Lebensmittelchemie

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“…Only a handful of studies investigated the sows' urine [31,32]. Notably, even though the aforementioned publications studied sows, this is not to be confused with metabolomics on pigs' urine where there are also only limited emerging reports [33][34][35][36][37][38]. To the best of the authors' knowledge, untargeted metabolomics LC-HRMS methods utilized with sows' urine to monitor cystitis have not been previously reported both in Greek herds and globally.…”

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Untargeted Metabolomics Pilot Study Using UHPLC-qTOF MS Profile in Sows’ Urine Reveals Metabolites of Bladder Inflammation

et al. 2022

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Urinary tract infections (UTI) of sows (characterized by ascending infections of the urinary bladder (cyst), ureters, and renal pelvis), are major health issues with a significant economic impact to the swine industry. The current detection of UTI incidents lacks sensitivity; thus, UTIs remain largely under-diagnosed. The value of metabolomics in unraveling the mechanisms of sow UTI has not yet been established. This study aims to investigate the urine metabolome of sows for UTI biomarkers. Urine samples were collected from 58 culled sows from a farrow-to-finish herd in Greece. Urine metabolomic profiles in 31 healthy controls and in 27 inflammatory ones were evaluated. UHPLC-qTOF MS/MS was applied for the analysis with a combination of multivariate and univariate statistical analysis. Eighteen potential markers were found. The changes in several urine metabolites classes (nucleosides, indoles, isoflavones, and dipeptides), as well as amino-acids allowed for an adequate discrimination between the study groups. Identified metabolites were involved in purine metabolism; phenylalanine; tyrosine and tryptophan biosynthesis; and phenylalanine metabolism. Through ROC analysis it was shown that the 18 identified metabolite biomarkers exhibited good predictive accuracy. In summary, our study provided new information on the potential targets for predicting early and accurate diagnosis of UTI. Further, this information also sheds light on how it could be applied in live animals.

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