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Exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes
Early and precise pregnancy diagnosis can reduce the calving interval by minimizing postpartum period. The present study explored the differential urinary metabolites between pregnant and non-pregnant Murrah buffaloes (Bubalus bubalis) during early gestation to identify potential pregnancy detection...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523026/ https://www.ncbi.nlm.nih.gov/pubmed/36175438 http://dx.doi.org/10.1038/s41598-022-20298-1 |
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author | Sarangi, Archana Ghosh, Mayukh Sangwan, Suman Kumar, Rajesh Balhara, Sunesh Phulia, S. K. Sharma, R. K. Sahu, Subhasish Kumar, Sandeep Mohanty, A. K. Balhara, A. K. |
author_facet | Sarangi, Archana Ghosh, Mayukh Sangwan, Suman Kumar, Rajesh Balhara, Sunesh Phulia, S. K. Sharma, R. K. Sahu, Subhasish Kumar, Sandeep Mohanty, A. K. Balhara, A. K. |
author_sort | Sarangi, Archana |
collection | PubMed |
description | Early and precise pregnancy diagnosis can reduce the calving interval by minimizing postpartum period. The present study explored the differential urinary metabolites between pregnant and non-pregnant Murrah buffaloes (Bubalus bubalis) during early gestation to identify potential pregnancy detection biomarkers. Urine samples were collected on day 0, 10, 18, 35 and 42 of gestation from the pregnant (n = 6) and on day 0, 10 and 18 post-insemination from the non-pregnant (n = 6) animals. (1)H-NMR-based untargeted metabolomics followed by multivariate analysis initially identified twenty-four differentially expressed metabolites, among them 3-Hydroxykynurenine, Anthranilate, Tyrosine and 5-Hydroxytryptophan depicted consistent trends and matched the selection criteria of potential biomarkers. Predictive ability of these individual biomarkers through ROC curve analyses yielded AUC values of 0.6–0.8. Subsequently, a logistic regression model was constructed using the most suitable metabolite combination to improve diagnostic accuracy. The combination of Anthranilate, 3-Hydroxykynurenine, and Tyrosine yielded the best AUC value of 0.804. Aromatic amino acid biosynthesis, Tryptophan metabolism, Phenylalanine and Tyrosine metabolism were identified as potential pathway modulations during early gestation. The identified biomarkers were either precursors or products of these metabolic pathways, thus justifying their relevance. The study facilitates precise non-invassive urinary metabolite-based pen-side early pregnancy diagnostics in buffaloes, eminently before 21 days post-insemination. |
format | Online Article Text |
id | pubmed-9523026 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-95230262022-10-01 Exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes Sarangi, Archana Ghosh, Mayukh Sangwan, Suman Kumar, Rajesh Balhara, Sunesh Phulia, S. K. Sharma, R. K. Sahu, Subhasish Kumar, Sandeep Mohanty, A. K. Balhara, A. K. Sci Rep Article Early and precise pregnancy diagnosis can reduce the calving interval by minimizing postpartum period. The present study explored the differential urinary metabolites between pregnant and non-pregnant Murrah buffaloes (Bubalus bubalis) during early gestation to identify potential pregnancy detection biomarkers. Urine samples were collected on day 0, 10, 18, 35 and 42 of gestation from the pregnant (n = 6) and on day 0, 10 and 18 post-insemination from the non-pregnant (n = 6) animals. (1)H-NMR-based untargeted metabolomics followed by multivariate analysis initially identified twenty-four differentially expressed metabolites, among them 3-Hydroxykynurenine, Anthranilate, Tyrosine and 5-Hydroxytryptophan depicted consistent trends and matched the selection criteria of potential biomarkers. Predictive ability of these individual biomarkers through ROC curve analyses yielded AUC values of 0.6–0.8. Subsequently, a logistic regression model was constructed using the most suitable metabolite combination to improve diagnostic accuracy. The combination of Anthranilate, 3-Hydroxykynurenine, and Tyrosine yielded the best AUC value of 0.804. Aromatic amino acid biosynthesis, Tryptophan metabolism, Phenylalanine and Tyrosine metabolism were identified as potential pathway modulations during early gestation. The identified biomarkers were either precursors or products of these metabolic pathways, thus justifying their relevance. The study facilitates precise non-invassive urinary metabolite-based pen-side early pregnancy diagnostics in buffaloes, eminently before 21 days post-insemination. Nature Publishing Group UK 2022-09-29 /pmc/articles/PMC9523026/ /pubmed/36175438 http://dx.doi.org/10.1038/s41598-022-20298-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Sarangi, Archana Ghosh, Mayukh Sangwan, Suman Kumar, Rajesh Balhara, Sunesh Phulia, S. K. Sharma, R. K. Sahu, Subhasish Kumar, Sandeep Mohanty, A. K. Balhara, A. K. Exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes |
title | Exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes |
title_full | Exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes |
title_fullStr | Exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes |
title_full_unstemmed | Exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes |
title_short | Exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes |
title_sort | exploration of urinary metabolite dynamicity for early detection of pregnancy in water buffaloes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9523026/ https://www.ncbi.nlm.nih.gov/pubmed/36175438 http://dx.doi.org/10.1038/s41598-022-20298-1 |
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