Quantitative monitoring of a panel of stress-induced biomarkers in human plasma by liquid chromatography–tandem mass spectrometry: an application in a comparative study between depressive patients and healthy subjects
Using a metabolomic approach, we have found that stress can induce oxidative damage by disturbing the creatine/phosphocreatine shuttle system and purinergic pathway, leading to an excessive membrane breakdown. To further validate our findings and to monitor the biological impact of stress in researc...
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| Published in | Analytical and bioanalytical chemistry Vol. 411; no. 22; pp. 5765 - 5777 |
|---|---|
| Main Authors | , , , , , , , |
| Format | Journal Article |
| Language | English |
| Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.09.2019
Springer Springer Nature B.V |
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| Online Access | Get full text |
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| Abstract | Using a metabolomic approach, we have found that stress can induce oxidative damage by disturbing the creatine/phosphocreatine shuttle system and purinergic pathway, leading to an excessive membrane breakdown. To further validate our findings and to monitor the biological impact of stress in research of clinical psychiatry, a liquid chromatography–tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously determine a panel of biomarkers comprising choline, creatine, purinergic metabolites, neurosteroids, lysophosphatidylcholines, and phosphatidylethanolamines in human plasma. After optimization of the extraction protocol, all the 15 analytes plus 4 internal standards with distinct polarities were extracted into an organic phase using methyl
tert
-butyl ether/methanol (1:1,
v
/
v
). A reversed-phase C8 column under gradient elution consisting of aqueous phase A of 5 mM ammonium acetate buffer solution containing 0.1% formic acid and organic phase B of acetonitrile/2-propanol (3:7,
v
/
v
) was utilized for separation. Four sequential periods under positive or negative ion mode were combined for the determination of analytes with specific multiple reaction monitoring transitions. For all analytes, this method exhibited good linearity with coefficients of determination (
R
2
) higher than 0.99. The lower limit of quantification (LLOQ) values ranged from 0.05 to 80.0 ng/mL. Recovery between 70.5 and 97.3% was obtained by spiking standards to plasma samples stripped by powdered activated carbon. The intra- and inter-assay relative standard deviations (RSDs) of the analyses varied between 2.0 and 13.3%. The mean accuracy ranged from 90.6 to 109.0%. The matrix effect ranged from 91.2 to 107.3% with variations less than 9.0%. Stability under different conditions was tested, with mean recoveries varying between 90.4 and 109.7%. Finally, the established method was successfully applied to analyze the plasma samples from a small cohort of 30 patients with major depressive disorder and 30 matched healthy controls.
Graphical abstract |
|---|---|
| AbstractList | Using a metabolomic approach, we have found that stress can induce oxidative damage by disturbing the creatine/phosphocreatine shuttle system and purinergic pathway, leading to an excessive membrane breakdown. To further validate our findings and to monitor the biological impact of stress in research of clinical psychiatry, a liquid chromatography–tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously determine a panel of biomarkers comprising choline, creatine, purinergic metabolites, neurosteroids, lysophosphatidylcholines, and phosphatidylethanolamines in human plasma. After optimization of the extraction protocol, all the 15 analytes plus 4 internal standards with distinct polarities were extracted into an organic phase using methyl
tert
-butyl ether/methanol (1:1,
v
/
v
). A reversed-phase C8 column under gradient elution consisting of aqueous phase A of 5 mM ammonium acetate buffer solution containing 0.1% formic acid and organic phase B of acetonitrile/2-propanol (3:7,
v
/
v
) was utilized for separation. Four sequential periods under positive or negative ion mode were combined for the determination of analytes with specific multiple reaction monitoring transitions. For all analytes, this method exhibited good linearity with coefficients of determination (
R
2
) higher than 0.99. The lower limit of quantification (LLOQ) values ranged from 0.05 to 80.0 ng/mL. Recovery between 70.5 and 97.3% was obtained by spiking standards to plasma samples stripped by powdered activated carbon. The intra- and inter-assay relative standard deviations (RSDs) of the analyses varied between 2.0 and 13.3%. The mean accuracy ranged from 90.6 to 109.0%. The matrix effect ranged from 91.2 to 107.3% with variations less than 9.0%. Stability under different conditions was tested, with mean recoveries varying between 90.4 and 109.7%. Finally, the established method was successfully applied to analyze the plasma samples from a small cohort of 30 patients with major depressive disorder and 30 matched healthy controls.
Graphical abstract Using a metabolomic approach, we have found that stress can induce oxidative damage by disturbing the creatine/phosphocreatine shuttle system and purinergic pathway, leading to an excessive membrane breakdown. To further validate our findings and to monitor the biological impact of stress in research of clinical psychiatry, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously determine a panel of biomarkers comprising choline, creatine, purinergic metabolites, neurosteroids, lysophosphatidylcholines, and phosphatidylethanolamines in human plasma. After optimization of the extraction protocol, all the 15 analytes plus 4 internal standards with distinct polarities were extracted into an organic phase using methyl tert-butyl ether/methanol (1:1, v/v). A reversed-phase C8 column under gradient elution consisting of aqueous phase A of 5 mM ammonium acetate buffer solution containing 0.1% formic acid and organic phase B of acetonitrile/2-propanol (3:7, v/v) was utilized for separation. Four sequential periods under positive or negative ion mode were combined for the determination of analytes with specific multiple reaction monitoring transitions. For all analytes, this method exhibited good linearity with coefficients of determination (R.sup.2) higher than 0.99. The lower limit of quantification (LLOQ) values ranged from 0.05 to 80.0 ng/mL. Recovery between 70.5 and 97.3% was obtained by spiking standards to plasma samples stripped by powdered activated carbon. The intra- and inter-assay relative standard deviations (RSDs) of the analyses varied between 2.0 and 13.3%. The mean accuracy ranged from 90.6 to 109.0%. The matrix effect ranged from 91.2 to 107.3% with variations less than 9.0%. Stability under different conditions was tested, with mean recoveries varying between 90.4 and 109.7%. Finally, the established method was successfully applied to analyze the plasma samples from a small cohort of 30 patients with major depressive disorder and 30 matched healthy controls. Using a metabolomic approach, we have found that stress can induce oxidative damage by disturbing the creatine/phosphocreatine shuttle system and purinergic pathway, leading to an excessive membrane breakdown. To further validate our findings and to monitor the biological impact of stress in research of clinical psychiatry, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously determine a panel of biomarkers comprising choline, creatine, purinergic metabolites, neurosteroids, lysophosphatidylcholines, and phosphatidylethanolamines in human plasma. After optimization of the extraction protocol, all the 15 analytes plus 4 internal standards with distinct polarities were extracted into an organic phase using methyl tert-butyl ether/methanol (1:1, v/v). A reversed-phase C8 column under gradient elution consisting of aqueous phase A of 5 mM ammonium acetate buffer solution containing 0.1% formic acid and organic phase B of acetonitrile/2-propanol (3:7, v/v) was utilized for separation. Four sequential periods under positive or negative ion mode were combined for the determination of analytes with specific multiple reaction monitoring transitions. For all analytes, this method exhibited good linearity with coefficients of determination (R2) higher than 0.99. The lower limit of quantification (LLOQ) values ranged from 0.05 to 80.0 ng/mL. Recovery between 70.5 and 97.3% was obtained by spiking standards to plasma samples stripped by powdered activated carbon. The intra- and inter-assay relative standard deviations (RSDs) of the analyses varied between 2.0 and 13.3%. The mean accuracy ranged from 90.6 to 109.0%. The matrix effect ranged from 91.2 to 107.3% with variations less than 9.0%. Stability under different conditions was tested, with mean recoveries varying between 90.4 and 109.7%. Finally, the established method was successfully applied to analyze the plasma samples from a small cohort of 30 patients with major depressive disorder and 30 matched healthy controls. Graphical abstract.Using a metabolomic approach, we have found that stress can induce oxidative damage by disturbing the creatine/phosphocreatine shuttle system and purinergic pathway, leading to an excessive membrane breakdown. To further validate our findings and to monitor the biological impact of stress in research of clinical psychiatry, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously determine a panel of biomarkers comprising choline, creatine, purinergic metabolites, neurosteroids, lysophosphatidylcholines, and phosphatidylethanolamines in human plasma. After optimization of the extraction protocol, all the 15 analytes plus 4 internal standards with distinct polarities were extracted into an organic phase using methyl tert-butyl ether/methanol (1:1, v/v). A reversed-phase C8 column under gradient elution consisting of aqueous phase A of 5 mM ammonium acetate buffer solution containing 0.1% formic acid and organic phase B of acetonitrile/2-propanol (3:7, v/v) was utilized for separation. Four sequential periods under positive or negative ion mode were combined for the determination of analytes with specific multiple reaction monitoring transitions. For all analytes, this method exhibited good linearity with coefficients of determination (R2) higher than 0.99. The lower limit of quantification (LLOQ) values ranged from 0.05 to 80.0 ng/mL. Recovery between 70.5 and 97.3% was obtained by spiking standards to plasma samples stripped by powdered activated carbon. The intra- and inter-assay relative standard deviations (RSDs) of the analyses varied between 2.0 and 13.3%. The mean accuracy ranged from 90.6 to 109.0%. The matrix effect ranged from 91.2 to 107.3% with variations less than 9.0%. Stability under different conditions was tested, with mean recoveries varying between 90.4 and 109.7%. Finally, the established method was successfully applied to analyze the plasma samples from a small cohort of 30 patients with major depressive disorder and 30 matched healthy controls. Graphical abstract. Using a metabolomic approach, we have found that stress can induce oxidative damage by disturbing the creatine/phosphocreatine shuttle system and purinergic pathway, leading to an excessive membrane breakdown. To further validate our findings and to monitor the biological impact of stress in research of clinical psychiatry, a liquid chromatography–tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously determine a panel of biomarkers comprising choline, creatine, purinergic metabolites, neurosteroids, lysophosphatidylcholines, and phosphatidylethanolamines in human plasma. After optimization of the extraction protocol, all the 15 analytes plus 4 internal standards with distinct polarities were extracted into an organic phase using methyl tert-butyl ether/methanol (1:1, v/v). A reversed-phase C8 column under gradient elution consisting of aqueous phase A of 5 mM ammonium acetate buffer solution containing 0.1% formic acid and organic phase B of acetonitrile/2-propanol (3:7, v/v) was utilized for separation. Four sequential periods under positive or negative ion mode were combined for the determination of analytes with specific multiple reaction monitoring transitions. For all analytes, this method exhibited good linearity with coefficients of determination (R²) higher than 0.99. The lower limit of quantification (LLOQ) values ranged from 0.05 to 80.0 ng/mL. Recovery between 70.5 and 97.3% was obtained by spiking standards to plasma samples stripped by powdered activated carbon. The intra- and inter-assay relative standard deviations (RSDs) of the analyses varied between 2.0 and 13.3%. The mean accuracy ranged from 90.6 to 109.0%. The matrix effect ranged from 91.2 to 107.3% with variations less than 9.0%. Stability under different conditions was tested, with mean recoveries varying between 90.4 and 109.7%. Finally, the established method was successfully applied to analyze the plasma samples from a small cohort of 30 patients with major depressive disorder and 30 matched healthy controls. Graphical abstract Using a metabolomic approach, we have found that stress can induce oxidative damage by disturbing the creatine/phosphocreatine shuttle system and purinergic pathway, leading to an excessive membrane breakdown. To further validate our findings and to monitor the biological impact of stress in research of clinical psychiatry, a liquid chromatography–tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously determine a panel of biomarkers comprising choline, creatine, purinergic metabolites, neurosteroids, lysophosphatidylcholines, and phosphatidylethanolamines in human plasma. After optimization of the extraction protocol, all the 15 analytes plus 4 internal standards with distinct polarities were extracted into an organic phase using methyl tert-butyl ether/methanol (1:1, v/v). A reversed-phase C8 column under gradient elution consisting of aqueous phase A of 5 mM ammonium acetate buffer solution containing 0.1% formic acid and organic phase B of acetonitrile/2-propanol (3:7, v/v) was utilized for separation. Four sequential periods under positive or negative ion mode were combined for the determination of analytes with specific multiple reaction monitoring transitions. For all analytes, this method exhibited good linearity with coefficients of determination (R2) higher than 0.99. The lower limit of quantification (LLOQ) values ranged from 0.05 to 80.0 ng/mL. Recovery between 70.5 and 97.3% was obtained by spiking standards to plasma samples stripped by powdered activated carbon. The intra- and inter-assay relative standard deviations (RSDs) of the analyses varied between 2.0 and 13.3%. The mean accuracy ranged from 90.6 to 109.0%. The matrix effect ranged from 91.2 to 107.3% with variations less than 9.0%. Stability under different conditions was tested, with mean recoveries varying between 90.4 and 109.7%. Finally, the established method was successfully applied to analyze the plasma samples from a small cohort of 30 patients with major depressive disorder and 30 matched healthy controls. Using a metabolomic approach, we have found that stress can induce oxidative damage by disturbing the creatine/phosphocreatine shuttle system and purinergic pathway, leading to an excessive membrane breakdown. To further validate our findings and to monitor the biological impact of stress in research of clinical psychiatry, a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method was developed to simultaneously determine a panel of biomarkers comprising choline, creatine, purinergic metabolites, neurosteroids, lysophosphatidylcholines, and phosphatidylethanolamines in human plasma. After optimization of the extraction protocol, all the 15 analytes plus 4 internal standards with distinct polarities were extracted into an organic phase using methyl tert-butyl ether/methanol (1:1, v/v). A reversed-phase C8 column under gradient elution consisting of aqueous phase A of 5 mM ammonium acetate buffer solution containing 0.1% formic acid and organic phase B of acetonitrile/2-propanol (3:7, v/v) was utilized for separation. Four sequential periods under positive or negative ion mode were combined for the determination of analytes with specific multiple reaction monitoring transitions. For all analytes, this method exhibited good linearity with coefficients of determination (R ) higher than 0.99. The lower limit of quantification (LLOQ) values ranged from 0.05 to 80.0 ng/mL. Recovery between 70.5 and 97.3% was obtained by spiking standards to plasma samples stripped by powdered activated carbon. The intra- and inter-assay relative standard deviations (RSDs) of the analyses varied between 2.0 and 13.3%. The mean accuracy ranged from 90.6 to 109.0%. The matrix effect ranged from 91.2 to 107.3% with variations less than 9.0%. Stability under different conditions was tested, with mean recoveries varying between 90.4 and 109.7%. Finally, the established method was successfully applied to analyze the plasma samples from a small cohort of 30 patients with major depressive disorder and 30 matched healthy controls. Graphical abstract. |
| Audience | Academic |
| Author | Li, NaNa Xiang, DaXiong Zhang, BiKui Cai, HuaLin Fang, PingFei Wu, XiangXin Cao, Ting Xu, Ping |
| Author_xml | – sequence: 1 givenname: HuaLin surname: Cai fullname: Cai, HuaLin email: hualincai@csu.edu.cn organization: Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University – sequence: 2 givenname: Ting surname: Cao fullname: Cao, Ting organization: Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University – sequence: 3 givenname: NaNa surname: Li fullname: Li, NaNa organization: Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University – sequence: 4 givenname: PingFei surname: Fang fullname: Fang, PingFei organization: Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University – sequence: 5 givenname: Ping surname: Xu fullname: Xu, Ping organization: Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University – sequence: 6 givenname: XiangXin surname: Wu fullname: Wu, XiangXin organization: Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University – sequence: 7 givenname: BiKui surname: Zhang fullname: Zhang, BiKui organization: Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University – sequence: 8 givenname: DaXiong surname: Xiang fullname: Xiang, DaXiong email: xiangdaxiong@csu.edu.cn organization: Department of Pharmacy, The Second Xiangya Hospital of Central South University, Institute of Clinical Pharmacy, Central South University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/31201457$$D View this record in MEDLINE/PubMed |
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| CitedBy_id | crossref_primary_10_1016_j_psyneuen_2024_107081 crossref_primary_10_3390_biom11050720 crossref_primary_10_3390_analytica3020013 crossref_primary_10_3390_metabo14020080 crossref_primary_10_1016_j_psychres_2024_115795 crossref_primary_10_3390_metabo13040567 crossref_primary_10_1016_j_psychres_2022_114762 crossref_primary_10_3389_fendo_2021_727371 crossref_primary_10_3389_fphar_2022_829815 crossref_primary_10_1016_j_ebiom_2024_105455 crossref_primary_10_1007_s00216_023_04954_7 crossref_primary_10_3389_fphar_2021_612083 crossref_primary_10_1001_jamapsychiatry_2022_4350 |
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| DOI | 10.1007/s00216-019-01956-2 |
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