Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training
High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to i...
Ausführliche Beschreibung
Autor*in: |
Kuehnbaum, Naomi L [verfasserIn] |
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Format: |
Artikel |
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Sprache: |
Englisch |
Erschienen: |
2015 |
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Rechteinformationen: |
Nutzungsrecht: © 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim © COPYRIGHT 2015 Wiley Subscription Services, Inc. |
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Schlagwörter: |
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Übergeordnetes Werk: |
Enthalten in: Electrophoresis - Weinheim : Wiley-VCH, 1980, 36(2015), 18, Seite 2226-2236 |
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Übergeordnetes Werk: |
volume:36 ; year:2015 ; number:18 ; pages:2226-2236 |
Links: |
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DOI / URN: |
10.1002/elps.201400604 |
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520 | |a High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women. | ||
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650 | 4 | |a Mass spectrometry | |
650 | 4 | |a Exercise training | |
650 | 4 | |a Capillary electrophoresis | |
650 | 4 | |a Biomarker discovery | |
650 | 4 | |a Metabolomics | |
650 | 4 | |a Antioxidants | |
650 | 4 | |a Cysteine | |
650 | 4 | |a Training | |
650 | 4 | |a Analysis | |
650 | 4 | |a Physiological aspects | |
650 | 4 | |a Levocarnitine | |
650 | 4 | |a Metabolites | |
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700 | 1 | |a Lam, Karen P |4 oth | |
700 | 1 | |a DiBattista, Alicia |4 oth | |
700 | 1 | |a Gibala, Martin J |4 oth | |
700 | 1 | |a Britz‐McKibbin, Philip |4 oth | |
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10.1002/elps.201400604 doi PQ20160617 (DE-627)OLC1958970247 (DE-599)GBVOLC1958970247 (PRQ)g1573-c36b166373d395cfaa454c55790fa7f0402764510f860821c9ccc6712b4578013 (KEY)0204026320150000036001802226multiplexedseparationsforbiomarkerdiscoveryinmetab DE-627 ger DE-627 rakwb eng 540 570 DNB 570 AVZ BIODIV fid 35.29 bkl Kuehnbaum, Naomi L verfasserin aut Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women. Nutzungsrecht: © 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim © COPYRIGHT 2015 Wiley Subscription Services, Inc. Mass spectrometry Exercise training Capillary electrophoresis Biomarker discovery Metabolomics Antioxidants Cysteine Training Analysis Physiological aspects Levocarnitine Metabolites Purines Working women Gillen, Jenna B oth Kormendi, Aleshia oth Lam, Karen P oth DiBattista, Alicia oth Gibala, Martin J oth Britz‐McKibbin, Philip oth Enthalten in Electrophoresis Weinheim : Wiley-VCH, 1980 36(2015), 18, Seite 2226-2236 (DE-627)130409952 (DE-600)619001-7 (DE-576)015913732 0173-0835 nnns volume:36 year:2015 number:18 pages:2226-2236 http://dx.doi.org/10.1002/elps.201400604 Volltext http://onlinelibrary.wiley.com/doi/10.1002/elps.201400604/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2219 GBV_ILN_4012 35.29 AVZ AR 36 2015 18 2226-2236 |
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10.1002/elps.201400604 doi PQ20160617 (DE-627)OLC1958970247 (DE-599)GBVOLC1958970247 (PRQ)g1573-c36b166373d395cfaa454c55790fa7f0402764510f860821c9ccc6712b4578013 (KEY)0204026320150000036001802226multiplexedseparationsforbiomarkerdiscoveryinmetab DE-627 ger DE-627 rakwb eng 540 570 DNB 570 AVZ BIODIV fid 35.29 bkl Kuehnbaum, Naomi L verfasserin aut Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women. Nutzungsrecht: © 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim © COPYRIGHT 2015 Wiley Subscription Services, Inc. Mass spectrometry Exercise training Capillary electrophoresis Biomarker discovery Metabolomics Antioxidants Cysteine Training Analysis Physiological aspects Levocarnitine Metabolites Purines Working women Gillen, Jenna B oth Kormendi, Aleshia oth Lam, Karen P oth DiBattista, Alicia oth Gibala, Martin J oth Britz‐McKibbin, Philip oth Enthalten in Electrophoresis Weinheim : Wiley-VCH, 1980 36(2015), 18, Seite 2226-2236 (DE-627)130409952 (DE-600)619001-7 (DE-576)015913732 0173-0835 nnns volume:36 year:2015 number:18 pages:2226-2236 http://dx.doi.org/10.1002/elps.201400604 Volltext http://onlinelibrary.wiley.com/doi/10.1002/elps.201400604/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2219 GBV_ILN_4012 35.29 AVZ AR 36 2015 18 2226-2236 |
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10.1002/elps.201400604 doi PQ20160617 (DE-627)OLC1958970247 (DE-599)GBVOLC1958970247 (PRQ)g1573-c36b166373d395cfaa454c55790fa7f0402764510f860821c9ccc6712b4578013 (KEY)0204026320150000036001802226multiplexedseparationsforbiomarkerdiscoveryinmetab DE-627 ger DE-627 rakwb eng 540 570 DNB 570 AVZ BIODIV fid 35.29 bkl Kuehnbaum, Naomi L verfasserin aut Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women. Nutzungsrecht: © 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim © COPYRIGHT 2015 Wiley Subscription Services, Inc. Mass spectrometry Exercise training Capillary electrophoresis Biomarker discovery Metabolomics Antioxidants Cysteine Training Analysis Physiological aspects Levocarnitine Metabolites Purines Working women Gillen, Jenna B oth Kormendi, Aleshia oth Lam, Karen P oth DiBattista, Alicia oth Gibala, Martin J oth Britz‐McKibbin, Philip oth Enthalten in Electrophoresis Weinheim : Wiley-VCH, 1980 36(2015), 18, Seite 2226-2236 (DE-627)130409952 (DE-600)619001-7 (DE-576)015913732 0173-0835 nnns volume:36 year:2015 number:18 pages:2226-2236 http://dx.doi.org/10.1002/elps.201400604 Volltext http://onlinelibrary.wiley.com/doi/10.1002/elps.201400604/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2219 GBV_ILN_4012 35.29 AVZ AR 36 2015 18 2226-2236 |
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10.1002/elps.201400604 doi PQ20160617 (DE-627)OLC1958970247 (DE-599)GBVOLC1958970247 (PRQ)g1573-c36b166373d395cfaa454c55790fa7f0402764510f860821c9ccc6712b4578013 (KEY)0204026320150000036001802226multiplexedseparationsforbiomarkerdiscoveryinmetab DE-627 ger DE-627 rakwb eng 540 570 DNB 570 AVZ BIODIV fid 35.29 bkl Kuehnbaum, Naomi L verfasserin aut Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women. Nutzungsrecht: © 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim © COPYRIGHT 2015 Wiley Subscription Services, Inc. Mass spectrometry Exercise training Capillary electrophoresis Biomarker discovery Metabolomics Antioxidants Cysteine Training Analysis Physiological aspects Levocarnitine Metabolites Purines Working women Gillen, Jenna B oth Kormendi, Aleshia oth Lam, Karen P oth DiBattista, Alicia oth Gibala, Martin J oth Britz‐McKibbin, Philip oth Enthalten in Electrophoresis Weinheim : Wiley-VCH, 1980 36(2015), 18, Seite 2226-2236 (DE-627)130409952 (DE-600)619001-7 (DE-576)015913732 0173-0835 nnns volume:36 year:2015 number:18 pages:2226-2236 http://dx.doi.org/10.1002/elps.201400604 Volltext http://onlinelibrary.wiley.com/doi/10.1002/elps.201400604/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2219 GBV_ILN_4012 35.29 AVZ AR 36 2015 18 2226-2236 |
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10.1002/elps.201400604 doi PQ20160617 (DE-627)OLC1958970247 (DE-599)GBVOLC1958970247 (PRQ)g1573-c36b166373d395cfaa454c55790fa7f0402764510f860821c9ccc6712b4578013 (KEY)0204026320150000036001802226multiplexedseparationsforbiomarkerdiscoveryinmetab DE-627 ger DE-627 rakwb eng 540 570 DNB 570 AVZ BIODIV fid 35.29 bkl Kuehnbaum, Naomi L verfasserin aut Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women. Nutzungsrecht: © 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim © COPYRIGHT 2015 Wiley Subscription Services, Inc. Mass spectrometry Exercise training Capillary electrophoresis Biomarker discovery Metabolomics Antioxidants Cysteine Training Analysis Physiological aspects Levocarnitine Metabolites Purines Working women Gillen, Jenna B oth Kormendi, Aleshia oth Lam, Karen P oth DiBattista, Alicia oth Gibala, Martin J oth Britz‐McKibbin, Philip oth Enthalten in Electrophoresis Weinheim : Wiley-VCH, 1980 36(2015), 18, Seite 2226-2236 (DE-627)130409952 (DE-600)619001-7 (DE-576)015913732 0173-0835 nnns volume:36 year:2015 number:18 pages:2226-2236 http://dx.doi.org/10.1002/elps.201400604 Volltext http://onlinelibrary.wiley.com/doi/10.1002/elps.201400604/abstract GBV_USEFLAG_A SYSFLAG_A GBV_OLC FID-BIODIV SSG-OLC-TEC SSG-OLC-CHE SSG-OLC-PHA SSG-OLC-DE-84 GBV_ILN_70 GBV_ILN_267 GBV_ILN_2018 GBV_ILN_2219 GBV_ILN_4012 35.29 AVZ AR 36 2015 18 2226-2236 |
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540 570 DNB 570 AVZ BIODIV fid 35.29 bkl Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training Mass spectrometry Exercise training Capillary electrophoresis Biomarker discovery Metabolomics Antioxidants Cysteine Training Analysis Physiological aspects Levocarnitine Metabolites Purines Working women |
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multiplexed separations for biomarker discovery in metabolomics: elucidating adaptive responses to exercise training |
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Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training |
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High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women. |
abstractGer |
High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women. |
abstract_unstemmed |
High efficiency separations are needed to enhance selectivity, mass spectral quality, and quantitative performance in metabolomic studies. However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women. |
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title_short |
Multiplexed separations for biomarker discovery in metabolomics: Elucidating adaptive responses to exercise training |
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However, low sample throughput and complicated data preprocessing remain major bottlenecks to biomarker discovery. We introduce an accelerated data workflow to identify plasma metabolite signatures of exercise responsiveness when using multisegment injection‐capillary electrophoresis‐mass spectrometry (MSI‐CE‐MS). This multiplexed separation platform takes advantage of customizable serial injections to enhance sample throughput and data fidelity based on temporally resolved ion signals derived from seven different sample segments analyzed within a single run. MSI‐CE‐MS was applied to explore the adaptive metabolic responses of a cohort of overweight/obese women ( BMI > 25, n = 9) performing a 6‐wk high‐intensity interval training intervention using a repeated measures/cross‐over study design. Venous blood samples were collected from each subject at three time intervals (baseline, postexercise, recovery) in their naïve and trained states while completing standardized cycling trials at the same absolute workload. Complementary statistical methods were used to classify dynamic changes in plasma metabolism associated with strenuous exercise and training status. Positive adaptations to exercise were associated with training‐induced upregulation in plasma l ‐carnitine at rest due to improved muscle oxidative capacity, and greater antioxidant capacity as reflected by lower circulating glutathionyl‐ l ‐cysteine mixed disulfide. Attenuation in plasma hypoxanthine and higher O ‐acetyl‐ l ‐carnitine levels postexercise also indicated lower energetic stress for trained women.</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">Nutzungsrecht: © 2015 WILEY‐VCH Verlag GmbH & Co. KGaA, Weinheim</subfield></datafield><datafield tag="540" ind1=" " ind2=" "><subfield code="a">© COPYRIGHT 2015 Wiley Subscription Services, Inc.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Mass spectrometry</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Exercise training</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Capillary electrophoresis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Biomarker discovery</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Metabolomics</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Antioxidants</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cysteine</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Training</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Analysis</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Physiological aspects</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Levocarnitine</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Metabolites</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Purines</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Working women</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gillen, Jenna B</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Kormendi, Aleshia</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Lam, Karen P</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">DiBattista, Alicia</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Gibala, Martin J</subfield><subfield code="4">oth</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Britz‐McKibbin, Philip</subfield><subfield code="4">oth</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Electrophoresis</subfield><subfield code="d">Weinheim : Wiley-VCH, 1980</subfield><subfield code="g">36(2015), 18, Seite 2226-2236</subfield><subfield code="w">(DE-627)130409952</subfield><subfield code="w">(DE-600)619001-7</subfield><subfield code="w">(DE-576)015913732</subfield><subfield code="x">0173-0835</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:36</subfield><subfield code="g">year:2015</subfield><subfield code="g">number:18</subfield><subfield code="g">pages:2226-2236</subfield></datafield><datafield tag="856" ind1="4" ind2="1"><subfield code="u">http://dx.doi.org/10.1002/elps.201400604</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="856" ind1="4" ind2="2"><subfield code="u">http://onlinelibrary.wiley.com/doi/10.1002/elps.201400604/abstract</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_OLC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">FID-BIODIV</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-TEC</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-CHE</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-DE-84</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_70</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_267</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2018</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2219</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="936" ind1="b" ind2="k"><subfield code="a">35.29</subfield><subfield code="q">AVZ</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">36</subfield><subfield code="j">2015</subfield><subfield code="e">18</subfield><subfield code="h">2226-2236</subfield></datafield></record></collection>
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