Plasma proteomic profiling and pathway analysis of normal and overconditioned dairy cows during the transition from late pregnancy to early lactation
This study applied a quantitative proteomics approach along with bioinformatics analyses to investigate changes in the plasma proteome of normal and overconditioned dairy cows during the transition period. Fifteen weeks before their anticipated calving date, 38 multiparous Holstein cows were selecte...
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creator | Ghaffari, Morteza H. Schuh, Katharina Kuleš, Josipa Guillemin, Nicolas Horvatić, Anita Mrljak, Vladimir Eckersall, Peter David Dusel, Georg Koch, Christian Sadri, Hassan Sauerwein, Helga |
description | This study applied a quantitative proteomics approach along with bioinformatics analyses to investigate changes in the plasma proteome of normal and overconditioned dairy cows during the transition period. Fifteen weeks before their anticipated calving date, 38 multiparous Holstein cows were selected based on their current and previous body condition scores (BCS) and allocated to either a high or a normal BCS group (19 cows each). They received different diets until dry-off to reach targeted differences in BCS and back fat thickness (BFT) until dry-off. At dry-off, normal BCS cows had a BCS 1.4 cm (maximum, 2.90). The proteomics study used a subset of 5 animals from each group. These cows were selected based on their circulating concentrations of fatty acids (FA) on d 14 postpartum and β-hydroxybutyrate (BHB) on d 21 postpartum, representing the greater or the lower extreme values within their BCS group, respectively. The high BCS subset (HE-HBCS) had 4.50 < BCS > 3.75, FA = 1.17 ± 0.46 mmol/L, and BHB = 2.15 ± 0.42 mmol/L (means ± SD), and the low BCS subset (LE-NBCS) had 3.50 < BCS > 2.75, FA = 0.51 ± 0.28 mmol/L, and BHB = 0.84 ± 0.17 mmol/L. Plasma samples from d −49, +7, and +21 relative to parturition were used for proteome profiling by applying the quantitative tandem mass tags (TMT) approach. Nondepleted plasma samples were subjected to reduction and digestion and then labeled with TMT 10plex reagents. High-resolution liquid chromatography-tandem mass spectrometry analysis of TMT-labeled peptides was carried out, and the acquired spectra were analyzed for protein identification and quantification. In total, 254 quantifiable proteins (criteria: 2 unique peptides and 5% false discovery rate) were identified in the plasma samples. From these, 24 differentially abundant proteins (14 more abundant, 10 less abundant) were observed in the LE-NBCS cows compared with the HE-HBCS cows during the transition period. Plasma α-2-macroglobulins were more abundant in HE-HBCS versus LE-NBCS cows at d +7 and +21. Gene Ontology enrichment analyses of differentially abundant proteins revealed that the acute inflammatory response, regulation of complement activation, protein activation cascade, and regulation of humoral immune response were the most enriched terms in the LE-NBCS group compared with the HE-HBCS group. In addition, we identified 24 differe |
doi_str_mv | 10.3168/jds.2019-17897 |
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Fifteen weeks before their anticipated calving date, 38 multiparous Holstein cows were selected based on their current and previous body condition scores (BCS) and allocated to either a high or a normal BCS group (19 cows each). They received different diets until dry-off to reach targeted differences in BCS and back fat thickness (BFT) until dry-off. At dry-off, normal BCS cows had a BCS <3.5 (minimum, 2.75) and BFT <1.2 cm (minimum, 0.58), and the high BCS cows had a BCS >3.75 (maximum, 4.50) and BFT >1.4 cm (maximum, 2.90). The proteomics study used a subset of 5 animals from each group. These cows were selected based on their circulating concentrations of fatty acids (FA) on d 14 postpartum and β-hydroxybutyrate (BHB) on d 21 postpartum, representing the greater or the lower extreme values within their BCS group, respectively. The high BCS subset (HE-HBCS) had 4.50 < BCS > 3.75, FA = 1.17 ± 0.46 mmol/L, and BHB = 2.15 ± 0.42 mmol/L (means ± SD), and the low BCS subset (LE-NBCS) had 3.50 < BCS > 2.75, FA = 0.51 ± 0.28 mmol/L, and BHB = 0.84 ± 0.17 mmol/L. Plasma samples from d −49, +7, and +21 relative to parturition were used for proteome profiling by applying the quantitative tandem mass tags (TMT) approach. Nondepleted plasma samples were subjected to reduction and digestion and then labeled with TMT 10plex reagents. High-resolution liquid chromatography-tandem mass spectrometry analysis of TMT-labeled peptides was carried out, and the acquired spectra were analyzed for protein identification and quantification. In total, 254 quantifiable proteins (criteria: 2 unique peptides and 5% false discovery rate) were identified in the plasma samples. From these, 24 differentially abundant proteins (14 more abundant, 10 less abundant) were observed in the LE-NBCS cows compared with the HE-HBCS cows during the transition period. Plasma α-2-macroglobulins were more abundant in HE-HBCS versus LE-NBCS cows at d +7 and +21. Gene Ontology enrichment analyses of differentially abundant proteins revealed that the acute inflammatory response, regulation of complement activation, protein activation cascade, and regulation of humoral immune response were the most enriched terms in the LE-NBCS group compared with the HE-HBCS group. In addition, we identified 24 differentially abundant proteins (16 in the LE-NBCS group, and 8 in the HE-HBCS group) during the transition period. The complement components C1q and C5 were less abundant, while C3 and C3d were more abundant in LE-NBCS compared with HE-HBCS cows. Overall, overconditioning around calving was associated with alterations in protein pathways related to acute inflammatory response and regulation of complement and coagulation cascades in transition cows.</description><identifier>ISSN: 0022-0302</identifier><identifier>EISSN: 1525-3198</identifier><identifier>DOI: 10.3168/jds.2019-17897</identifier><identifier>PMID: 32173013</identifier><language>eng</language><publisher>NEW YORK: Elsevier Inc</publisher><subject>Agriculture ; Agriculture, Dairy & Animal Science ; body condition score ; Food Science & Technology ; Life Sciences & Biomedicine ; quantitative proteomics ; Science & Technology ; transition cows</subject><ispartof>Journal of dairy science, 2020-05, Vol.103 (5), p.4806-4821</ispartof><rights>2020 American Dairy Science Association</rights><rights>Copyright © 2020 American Dairy Science Association. Published by Elsevier Inc. All rights reserved.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>14</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000527361400075</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c384t-3b96de81c38c83da2a819c6144d894dd0e278a56bca9e3f2391295a377a56f693</citedby><cites>FETCH-LOGICAL-c384t-3b96de81c38c83da2a819c6144d894dd0e278a56bca9e3f2391295a377a56f693</cites><orcidid>0000-0002-4945-4690 ; 0000-0001-9625-1450</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.3168/jds.2019-17897$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>315,782,786,3554,27933,27934,28257,46004</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32173013$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Ghaffari, Morteza H.</creatorcontrib><creatorcontrib>Schuh, Katharina</creatorcontrib><creatorcontrib>Kuleš, Josipa</creatorcontrib><creatorcontrib>Guillemin, Nicolas</creatorcontrib><creatorcontrib>Horvatić, Anita</creatorcontrib><creatorcontrib>Mrljak, Vladimir</creatorcontrib><creatorcontrib>Eckersall, Peter David</creatorcontrib><creatorcontrib>Dusel, Georg</creatorcontrib><creatorcontrib>Koch, Christian</creatorcontrib><creatorcontrib>Sadri, Hassan</creatorcontrib><creatorcontrib>Sauerwein, Helga</creatorcontrib><title>Plasma proteomic profiling and pathway analysis of normal and overconditioned dairy cows during the transition from late pregnancy to early lactation</title><title>Journal of dairy science</title><addtitle>J DAIRY SCI</addtitle><addtitle>J Dairy Sci</addtitle><description>This study applied a quantitative proteomics approach along with bioinformatics analyses to investigate changes in the plasma proteome of normal and overconditioned dairy cows during the transition period. Fifteen weeks before their anticipated calving date, 38 multiparous Holstein cows were selected based on their current and previous body condition scores (BCS) and allocated to either a high or a normal BCS group (19 cows each). They received different diets until dry-off to reach targeted differences in BCS and back fat thickness (BFT) until dry-off. At dry-off, normal BCS cows had a BCS <3.5 (minimum, 2.75) and BFT <1.2 cm (minimum, 0.58), and the high BCS cows had a BCS >3.75 (maximum, 4.50) and BFT >1.4 cm (maximum, 2.90). The proteomics study used a subset of 5 animals from each group. These cows were selected based on their circulating concentrations of fatty acids (FA) on d 14 postpartum and β-hydroxybutyrate (BHB) on d 21 postpartum, representing the greater or the lower extreme values within their BCS group, respectively. The high BCS subset (HE-HBCS) had 4.50 < BCS > 3.75, FA = 1.17 ± 0.46 mmol/L, and BHB = 2.15 ± 0.42 mmol/L (means ± SD), and the low BCS subset (LE-NBCS) had 3.50 < BCS > 2.75, FA = 0.51 ± 0.28 mmol/L, and BHB = 0.84 ± 0.17 mmol/L. Plasma samples from d −49, +7, and +21 relative to parturition were used for proteome profiling by applying the quantitative tandem mass tags (TMT) approach. Nondepleted plasma samples were subjected to reduction and digestion and then labeled with TMT 10plex reagents. High-resolution liquid chromatography-tandem mass spectrometry analysis of TMT-labeled peptides was carried out, and the acquired spectra were analyzed for protein identification and quantification. In total, 254 quantifiable proteins (criteria: 2 unique peptides and 5% false discovery rate) were identified in the plasma samples. From these, 24 differentially abundant proteins (14 more abundant, 10 less abundant) were observed in the LE-NBCS cows compared with the HE-HBCS cows during the transition period. Plasma α-2-macroglobulins were more abundant in HE-HBCS versus LE-NBCS cows at d +7 and +21. Gene Ontology enrichment analyses of differentially abundant proteins revealed that the acute inflammatory response, regulation of complement activation, protein activation cascade, and regulation of humoral immune response were the most enriched terms in the LE-NBCS group compared with the HE-HBCS group. In addition, we identified 24 differentially abundant proteins (16 in the LE-NBCS group, and 8 in the HE-HBCS group) during the transition period. The complement components C1q and C5 were less abundant, while C3 and C3d were more abundant in LE-NBCS compared with HE-HBCS cows. Overall, overconditioning around calving was associated with alterations in protein pathways related to acute inflammatory response and regulation of complement and coagulation cascades in transition cows.</description><subject>Agriculture</subject><subject>Agriculture, Dairy & Animal Science</subject><subject>body condition score</subject><subject>Food Science & Technology</subject><subject>Life Sciences & Biomedicine</subject><subject>quantitative proteomics</subject><subject>Science & Technology</subject><subject>transition cows</subject><issn>0022-0302</issn><issn>1525-3198</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>AOWDO</sourceid><recordid>eNqNkU2LFDEQhhtR3NnVq0fJUZAe8zHdnRxlWF1hQQ96DjVJ9W6W7mRM0jv0D_H_mp4Z15MgBFKVPG8VVW9VvWF0LVgrPzzYtOaUqZp1UnXPqhVreFMLpuTzakUp5zUVlF9Ulyk9lJRx2rysLgRnnaBMrKpf3wZII5B9DBnD6MwS9W5w_o6At2QP-f4Ac4lhmJNLJPTEhzjCcPwOjxhN8NZlFzxaYsHFmZhwSMROcSmS75HkCD4dEdLHMJIBMpY-eOfBm5nkQBDiMJd3k2HBXlUvehgSvj7fV9WPT9fftzf17dfPX7Yfb2sj5CbXYqdai5KVzEhhgYNkyrRss7FSbaylyDsJTbszoFD0XCjGVQOi68pj3ypxVb071S1D_5wwZT26ZHAYwGOYkuYFbeWmnIKuT6iJIaWIvd5HN0KcNaN6sUIXK_RihT5aUQRvz7Wn3Yj2Cf-z-wLIE3DAXeiTcegNPmGU0oZ3ogxToq7ZutNmtmHyuUjf_7_0byMsq3x0GPVZYV1Ek7UN7l9D_AZuDrvp</recordid><startdate>202005</startdate><enddate>202005</enddate><creator>Ghaffari, Morteza H.</creator><creator>Schuh, Katharina</creator><creator>Kuleš, Josipa</creator><creator>Guillemin, Nicolas</creator><creator>Horvatić, Anita</creator><creator>Mrljak, Vladimir</creator><creator>Eckersall, Peter David</creator><creator>Dusel, Georg</creator><creator>Koch, Christian</creator><creator>Sadri, Hassan</creator><creator>Sauerwein, Helga</creator><general>Elsevier Inc</general><general>Elsevier</general><scope>AOWDO</scope><scope>BLEPL</scope><scope>DTL</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0002-4945-4690</orcidid><orcidid>https://orcid.org/0000-0001-9625-1450</orcidid></search><sort><creationdate>202005</creationdate><title>Plasma proteomic profiling and pathway analysis of normal and overconditioned dairy cows during the transition from late pregnancy to early lactation</title><author>Ghaffari, Morteza H. ; Schuh, Katharina ; Kuleš, Josipa ; Guillemin, Nicolas ; Horvatić, Anita ; Mrljak, Vladimir ; Eckersall, Peter David ; Dusel, Georg ; Koch, Christian ; Sadri, Hassan ; Sauerwein, Helga</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c384t-3b96de81c38c83da2a819c6144d894dd0e278a56bca9e3f2391295a377a56f693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Agriculture</topic><topic>Agriculture, Dairy & Animal Science</topic><topic>body condition score</topic><topic>Food Science & Technology</topic><topic>Life Sciences & Biomedicine</topic><topic>quantitative proteomics</topic><topic>Science & Technology</topic><topic>transition cows</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ghaffari, Morteza H.</creatorcontrib><creatorcontrib>Schuh, Katharina</creatorcontrib><creatorcontrib>Kuleš, Josipa</creatorcontrib><creatorcontrib>Guillemin, Nicolas</creatorcontrib><creatorcontrib>Horvatić, Anita</creatorcontrib><creatorcontrib>Mrljak, Vladimir</creatorcontrib><creatorcontrib>Eckersall, Peter David</creatorcontrib><creatorcontrib>Dusel, Georg</creatorcontrib><creatorcontrib>Koch, Christian</creatorcontrib><creatorcontrib>Sadri, Hassan</creatorcontrib><creatorcontrib>Sauerwein, Helga</creatorcontrib><collection>Web of Science - Science Citation Index Expanded - 2020</collection><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>Journal of dairy science</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ghaffari, Morteza H.</au><au>Schuh, Katharina</au><au>Kuleš, Josipa</au><au>Guillemin, Nicolas</au><au>Horvatić, Anita</au><au>Mrljak, Vladimir</au><au>Eckersall, Peter David</au><au>Dusel, Georg</au><au>Koch, Christian</au><au>Sadri, Hassan</au><au>Sauerwein, Helga</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Plasma proteomic profiling and pathway analysis of normal and overconditioned dairy cows during the transition from late pregnancy to early lactation</atitle><jtitle>Journal of dairy science</jtitle><stitle>J DAIRY SCI</stitle><addtitle>J Dairy Sci</addtitle><date>2020-05</date><risdate>2020</risdate><volume>103</volume><issue>5</issue><spage>4806</spage><epage>4821</epage><pages>4806-4821</pages><issn>0022-0302</issn><eissn>1525-3198</eissn><abstract>This study applied a quantitative proteomics approach along with bioinformatics analyses to investigate changes in the plasma proteome of normal and overconditioned dairy cows during the transition period. Fifteen weeks before their anticipated calving date, 38 multiparous Holstein cows were selected based on their current and previous body condition scores (BCS) and allocated to either a high or a normal BCS group (19 cows each). They received different diets until dry-off to reach targeted differences in BCS and back fat thickness (BFT) until dry-off. At dry-off, normal BCS cows had a BCS <3.5 (minimum, 2.75) and BFT <1.2 cm (minimum, 0.58), and the high BCS cows had a BCS >3.75 (maximum, 4.50) and BFT >1.4 cm (maximum, 2.90). The proteomics study used a subset of 5 animals from each group. These cows were selected based on their circulating concentrations of fatty acids (FA) on d 14 postpartum and β-hydroxybutyrate (BHB) on d 21 postpartum, representing the greater or the lower extreme values within their BCS group, respectively. The high BCS subset (HE-HBCS) had 4.50 < BCS > 3.75, FA = 1.17 ± 0.46 mmol/L, and BHB = 2.15 ± 0.42 mmol/L (means ± SD), and the low BCS subset (LE-NBCS) had 3.50 < BCS > 2.75, FA = 0.51 ± 0.28 mmol/L, and BHB = 0.84 ± 0.17 mmol/L. Plasma samples from d −49, +7, and +21 relative to parturition were used for proteome profiling by applying the quantitative tandem mass tags (TMT) approach. Nondepleted plasma samples were subjected to reduction and digestion and then labeled with TMT 10plex reagents. High-resolution liquid chromatography-tandem mass spectrometry analysis of TMT-labeled peptides was carried out, and the acquired spectra were analyzed for protein identification and quantification. In total, 254 quantifiable proteins (criteria: 2 unique peptides and 5% false discovery rate) were identified in the plasma samples. From these, 24 differentially abundant proteins (14 more abundant, 10 less abundant) were observed in the LE-NBCS cows compared with the HE-HBCS cows during the transition period. Plasma α-2-macroglobulins were more abundant in HE-HBCS versus LE-NBCS cows at d +7 and +21. Gene Ontology enrichment analyses of differentially abundant proteins revealed that the acute inflammatory response, regulation of complement activation, protein activation cascade, and regulation of humoral immune response were the most enriched terms in the LE-NBCS group compared with the HE-HBCS group. In addition, we identified 24 differentially abundant proteins (16 in the LE-NBCS group, and 8 in the HE-HBCS group) during the transition period. The complement components C1q and C5 were less abundant, while C3 and C3d were more abundant in LE-NBCS compared with HE-HBCS cows. Overall, overconditioning around calving was associated with alterations in protein pathways related to acute inflammatory response and regulation of complement and coagulation cascades in transition cows.</abstract><cop>NEW YORK</cop><pub>Elsevier Inc</pub><pmid>32173013</pmid><doi>10.3168/jds.2019-17897</doi><tpages>16</tpages><orcidid>https://orcid.org/0000-0002-4945-4690</orcidid><orcidid>https://orcid.org/0000-0001-9625-1450</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Agriculture Agriculture, Dairy & Animal Science body condition score Food Science & Technology Life Sciences & Biomedicine quantitative proteomics Science & Technology transition cows |
title | Plasma proteomic profiling and pathway analysis of normal and overconditioned dairy cows during the transition from late pregnancy to early lactation |
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