Detection of Functional Overreaching in Endurance Athletes Using Proteomics
No reliable biomarkers exist to identify athletes in various training states including functional overreaching (FOR), non-functional overreaching (NFOR), and overtraining syndrome (OTS). Participants (N = 10, age 38.3 ± 3.4 years) served as their own controls and in random, counterbalance...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-09-01
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| Series: | Proteomes |
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| Online Access: | http://www.mdpi.com/2227-7382/6/3/33 |
| _version_ | 1828389339710619648 |
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| author | David C. Nieman Arnoud J. Groen Artyom Pugachev Gianmarco Vacca |
| author_facet | David C. Nieman Arnoud J. Groen Artyom Pugachev Gianmarco Vacca |
| author_sort | David C. Nieman |
| collection | DOAJ |
| description | No reliable biomarkers exist to identify athletes in various training states including functional overreaching (FOR), non-functional overreaching (NFOR), and overtraining syndrome (OTS). Participants (N = 10, age 38.3 ± 3.4 years) served as their own controls and in random, counterbalanced order either ran/cycled 2.5 h (70.0 ± 3.7% VO2max) three days in a row (FOR) or sat in the lab (rest) (separated by three weeks; 7:00–9:30 am, overnight fasted state). Participants provided fingerprick samples for dried blood spot samples (DBS) pre- and post-exercise/rest, and then during two recovery days. DBS proteins were measured with nanoLC-MS in data-independent acquisition (DIA) mode, and 593 proteins were identified and quantified. Proteins were considered for the FOR cluster if they were elevated during one of the two recovery days but not more than one of the exercise days (compared to rest). The generalized estimating equation (GEE) was used to identify proteins linked to FOR. A total of 13 proteins was linked to FOR and most were associated with the acute phase response and innate immune system activation. This study used a system-wide proteomics approach to define a targeted panel of blood proteins related to FOR that could form the basis of future NFOR- and OTS-based studies. |
| first_indexed | 2024-12-10T06:27:37Z |
| format | Article |
| id | doaj.art-104860080e3d4680ae4cb6861706440d |
| institution | Directory Open Access Journal |
| issn | 2227-7382 |
| language | English |
| last_indexed | 2024-12-10T06:27:37Z |
| publishDate | 2018-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Proteomes |
| spelling | doaj.art-104860080e3d4680ae4cb6861706440d2022-12-22T01:59:10ZengMDPI AGProteomes2227-73822018-09-01633310.3390/proteomes6030033proteomes6030033Detection of Functional Overreaching in Endurance Athletes Using ProteomicsDavid C. Nieman0Arnoud J. Groen1Artyom Pugachev2Gianmarco Vacca3North Carolina Research Campus, Appalachian State University, Kannapolis, NC 28081, USAProteiQ Biosciences GmbH, 10967 Berlin, GermanyProteiQ Biosciences GmbH, 10967 Berlin, GermanyDepartment of Statistics and Quantitative Methods, Università degli Studi di Milano-Bicocca, 20126 Milan, ItalyNo reliable biomarkers exist to identify athletes in various training states including functional overreaching (FOR), non-functional overreaching (NFOR), and overtraining syndrome (OTS). Participants (N = 10, age 38.3 ± 3.4 years) served as their own controls and in random, counterbalanced order either ran/cycled 2.5 h (70.0 ± 3.7% VO2max) three days in a row (FOR) or sat in the lab (rest) (separated by three weeks; 7:00–9:30 am, overnight fasted state). Participants provided fingerprick samples for dried blood spot samples (DBS) pre- and post-exercise/rest, and then during two recovery days. DBS proteins were measured with nanoLC-MS in data-independent acquisition (DIA) mode, and 593 proteins were identified and quantified. Proteins were considered for the FOR cluster if they were elevated during one of the two recovery days but not more than one of the exercise days (compared to rest). The generalized estimating equation (GEE) was used to identify proteins linked to FOR. A total of 13 proteins was linked to FOR and most were associated with the acute phase response and innate immune system activation. This study used a system-wide proteomics approach to define a targeted panel of blood proteins related to FOR that could form the basis of future NFOR- and OTS-based studies.http://www.mdpi.com/2227-7382/6/3/33blood proteinsexerciseacute phase responsecomplementgranulocytes |
| spellingShingle | David C. Nieman Arnoud J. Groen Artyom Pugachev Gianmarco Vacca Detection of Functional Overreaching in Endurance Athletes Using Proteomics Proteomes blood proteins exercise acute phase response complement granulocytes |
| title | Detection of Functional Overreaching in Endurance Athletes Using Proteomics |
| title_full | Detection of Functional Overreaching in Endurance Athletes Using Proteomics |
| title_fullStr | Detection of Functional Overreaching in Endurance Athletes Using Proteomics |
| title_full_unstemmed | Detection of Functional Overreaching in Endurance Athletes Using Proteomics |
| title_short | Detection of Functional Overreaching in Endurance Athletes Using Proteomics |
| title_sort | detection of functional overreaching in endurance athletes using proteomics |
| topic | blood proteins exercise acute phase response complement granulocytes |
| url | http://www.mdpi.com/2227-7382/6/3/33 |
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