Summary of Study ST003181
This data is available at the NIH Common Fund's National Metabolomics Data Repository (NMDR) website, the Metabolomics Workbench, https://www.metabolomicsworkbench.org, where it has been assigned Project ID PR001980. The data can be accessed directly via it's Project DOI: 10.21228/M8SJ0J This work is supported by NIH grant, U2C- DK119886.
See: https://www.metabolomicsworkbench.org/about/howtocite.php
This study contains a large results data set and is not available in the mwTab file. It is only available for download via FTP as data file(s) here.
Study ID | ST003181 |
Study Title | Depression symptoms modifies differently plasma metabolites in pre- and post-menopausal women |
Study Summary | Depression will be the disease with the highest incidence worldwide by 2030. Data indicate that postmenopausal women have a higher incidence of mood disorders, and this high vulnerability seems to be related to hormonal changes and weight gain. Although research evaluating the profile of metabolites in mood disorders is advancing, further research, maintaining consistent methodology, is necessary to reach a consensus. Therefore, the objective of the present study was to carry out an exploratory analysis of the plasma polar metabolites and lipids of pre- and postmenopausal women to explore whether the profile is affected by depression. The study was performed in accordance with the principles of the Declaration of Helsinki and was approved by the Human Research Ethics Committee of the Universidade Federal de São Paulo (nº 0624/2019) and all participants signed the informed consent. 42 premenopausal and 67 postmenopausal women had the depression symptoms assessed by the Beck Depression's Inventory (BDI). Lipids and polar metabolites were extracted from plasma and analyzed in an ultra-performance liquid chromatography system (UHPLC) coupled to a spectrometer with a triple-quadrupole analyzer operating with an electrospray ionization source (ESI) in positive and negative mode. Lipids and polar metabolites analyses was performed using MetaboAnalyst 5.0. Ten metabolites were significantly affected by depression symptoms in postmenopause, including Adenosine, Guanosine, Proline, Citrulline, Lysine, and Carnitine, which were down-regulated, and Dimethylglycine, Glutathione, Creatine, and Methionine that were up-regulated. In premenopausal women with depression, Oxidized Glutathione was down-regulated, and Dimethylglycine and 4-hydroxyproline were up-regulated. Seven lipids were were significantly affected by depression symptoms in pre-menopausal women PC(36:1)/PC(18:1(9Z)/18:0), PC(19:0/19:0), and LTB4 were up-regulated and PC(18:0/14:0)/GPCho(18:0/14:0), SM(d18:1/16:0), LysoPC(18:1(9z))/LPC 18:1, and Azelaoyl-PAF were down-regulated. In post-menopausal women PC(16:1(9z)/16:1(9z)) and 14,15-DHET were down-regulated and acetylcarnitine was up-regulated. Though there seems to be a relationship in the occurrence of obesity and depression in women the hormonal status influenced the effect of depression in women and that this status may be taken into account when searching for a marker for depression. |
Institute | Federal University of São Paulo |
Last Name | Boldarine |
First Name | Valter |
Address | Rua Botucatu, 862, 2º floor, São Paulo, São Paulo, 04026-000, Brazil |
valtertadeuboldarine@gmail.com | |
Phone | (11) 99892-8283 |
Submit Date | 2024-04-11 |
Raw Data Available | Yes |
Raw Data File Type(s) | mzML |
Analysis Type Detail | LC-MS |
Release Date | 2024-05-17 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001980 |
Project DOI: | doi: 10.21228/M8SJ0J |
Project Title: | Depression symptoms modifies differently plasma metabolites in pre- and post-menopausal women |
Project Summary: | Depression will be the disease with the highest incidence worldwide by 2030. Data indicate that postmenopausal women have a higher incidence of mood disorders, and this high vulnerability seems to be related to hormonal changes and weight gain. Although research evaluating the profile of metabolites in mood disorders is advancing, further research, maintaining consistent methodology, is necessary to reach a consensus. Therefore, the objective of the present study was to carry out an exploratory analysis of the plasma polar metabolites and lipids of pre- and postmenopausal women to explore whether the profile is affected by depression. The study was performed in accordance with the principles of the Declaration of Helsinki and was approved by the Human Research Ethics Committee of the Universidade Federal de São Paulo (nº 0624/2019) and all participants signed the informed consent. 42 premenopausal and 67 postmenopausal women had the depression symptoms assessed by the Beck Depression's Inventory (BDI). Lipids and polar metabolites were extracted from plasma and analyzed in an ultra-performance liquid chromatography system (UHPLC) coupled to a spectrometer with a triple-quadrupole analyzer operating with an electrospray ionization source (ESI) in positive and negative mode. Lipids and polar metabolites analyses was performed using MetaboAnalyst 5.0. Ten metabolites were significantly affected by depression symptoms in postmenopause, including Adenosine, Guanosine, Proline, Citrulline, Lysine, and Carnitine, which were down-regulated, and Dimethylglycine, Glutathione, Creatine, and Methionine that were up-regulated. In premenopausal women with depression, Oxidized Glutathione was down-regulated, and Dimethylglycine and 4-hydroxyproline were up-regulated. Seven lipids were were significantly affected by depression symptoms in pre-menopausal women PC(36:1)/PC(18:1(9Z)/18:0), PC(19:0/19:0), and LTB4 were up-regulated and PC(18:0/14:0)/GPCho(18:0/14:0), SM(d18:1/16:0), LysoPC(18:1(9z))/LPC 18:1, and Azelaoyl-PAF were down-regulated. In post-menopausal women PC(16:1(9z)/16:1(9z)) and 14,15-DHET were down-regulated and acetylcarnitine was up-regulated. Though there seems to be a relationship in the occurrence of obesity and depression in women the hormonal status influenced the effect of depression in women and that this status may be taken into account when searching for a marker for depression. |
Institute: | Universidade Federal de São Paulo |
Last Name: | Boldarine |
First Name: | Valter |
Address: | Rua Botucatu, 862, 2º floor, São Paulo, São Paulo, 04026-000, Brazil |
Email: | valtertadeuboldarine@gmail.com |
Phone: | (11) 99892-8283 |
Subject:
Subject ID: | SU003300 |
Subject Type: | Human |
Subject Species: | Homo sapiens |
Taxonomy ID: | 9606 |
Gender: | Female |
Factors:
Subject type: Human; Subject species: Homo sapiens (Factor headings shown in green)
mb_sample_id | local_sample_id | Sample source | Condition | Symptom |
---|---|---|---|---|
SA346312 | 20210111_ML_Branco | - | - | - |
SA346313 | 20210111_ML_Branco+PIM | - | - | - |
SA346314 | 20210111_ML_85 | Plasma | Postmenopause | Control |
SA346315 | 20210111_ML_86 | Plasma | Postmenopause | Control |
SA346316 | 20210111_ML_89 | Plasma | Postmenopause | Control |
SA346317 | 20210111_ML_82 | Plasma | Postmenopause | Control |
SA346318 | 20210111_ML_80 | Plasma | Postmenopause | Control |
SA346319 | 20210111_ML_67 | Plasma | Postmenopause | Control |
SA346320 | 20210111_ML_68 | Plasma | Postmenopause | Control |
SA346321 | 20210111_ML_76 | Plasma | Postmenopause | Control |
SA346322 | 20210111_ML_92 | Plasma | Postmenopause | Control |
SA346323 | 20210111_ML_94 | Plasma | Postmenopause | Control |
SA346324 | 20210111_ML_101 | Plasma | Postmenopause | Control |
SA346325 | 20210111_ML_103 | Plasma | Postmenopause | Control |
SA346326 | 20210111_ML_104 | Plasma | Postmenopause | Control |
SA346327 | 20210111_ML_100 | Plasma | Postmenopause | Control |
SA346328 | 20210111_ML_97 | Plasma | Postmenopause | Control |
SA346329 | 20210111_ML_66 | Plasma | Postmenopause | Control |
SA346330 | 20210111_ML_109 | Plasma | Postmenopause | Control |
SA346331 | 20210111_ML_106 | Plasma | Postmenopause | Control |
SA346332 | 20210111_ML_53 | Plasma | Postmenopause | Control |
SA346333 | 20210111_MP_104 | Plasma | Postmenopause | Control |
SA346334 | 20210111_MP_106 | Plasma | Postmenopause | Control |
SA346335 | 20210111_MP_109 | Plasma | Postmenopause | Control |
SA346336 | 20210111_MP_112 | Plasma | Postmenopause | Control |
SA346337 | 20210111_MP_103 | Plasma | Postmenopause | Control |
SA346338 | 20210111_MP_101 | Plasma | Postmenopause | Control |
SA346339 | 20210111_MP_94 | Plasma | Postmenopause | Control |
SA346340 | 20210111_MP_97 | Plasma | Postmenopause | Control |
SA346341 | 20210111_MP_100 | Plasma | Postmenopause | Control |
SA346342 | 20210111_MP_114 | Plasma | Postmenopause | Control |
SA346343 | 20210111_MP_115 | Plasma | Postmenopause | Control |
SA346344 | 20210111_MP_147 | Plasma | Postmenopause | Control |
SA346345 | 20210111_ML_51 | Plasma | Postmenopause | Control |
SA346346 | 20210111_ML_112 | Plasma | Postmenopause | Control |
SA346347 | 20210111_MP_144 | Plasma | Postmenopause | Control |
SA346348 | 20210111_MP_134 | Plasma | Postmenopause | Control |
SA346349 | 20210111_MP_116 | Plasma | Postmenopause | Control |
SA346350 | 20210111_MP_119 | Plasma | Postmenopause | Control |
SA346351 | 20210111_MP_123 | Plasma | Postmenopause | Control |
SA346352 | 20210111_ML_62 | Plasma | Postmenopause | Control |
SA346353 | 20210111_ML_116 | Plasma | Postmenopause | Control |
SA346354 | 20210111_LC_103 | Plasma | Postmenopause | Control |
SA346355 | 20210111_LC_104 | Plasma | Postmenopause | Control |
SA346356 | 20210111_LC_106 | Plasma | Postmenopause | Control |
SA346357 | 20210111_LC_101 | Plasma | Postmenopause | Control |
SA346358 | 20210111_LC_100 | Plasma | Postmenopause | Control |
SA346359 | 20210111_LC_92 | Plasma | Postmenopause | Control |
SA346360 | 20210111_LC_94 | Plasma | Postmenopause | Control |
SA346361 | 20210111_LC_97 | Plasma | Postmenopause | Control |
SA346362 | 20210111_LC_109 | Plasma | Postmenopause | Control |
SA346363 | 20210111_LC_112 | Plasma | Postmenopause | Control |
SA346364 | 20210111_LC_134 | Plasma | Postmenopause | Control |
SA346365 | 20210111_LC_144 | Plasma | Postmenopause | Control |
SA346366 | 20210111_LC_147 | Plasma | Postmenopause | Control |
SA346367 | 20210111_LC_123 | Plasma | Postmenopause | Control |
SA346368 | 20210111_LC_119 | Plasma | Postmenopause | Control |
SA346369 | 20210111_LC_114 | Plasma | Postmenopause | Control |
SA346370 | 20210111_LC_115 | Plasma | Postmenopause | Control |
SA346371 | 20210111_LC_116 | Plasma | Postmenopause | Control |
SA346372 | 20210111_LC_89 | Plasma | Postmenopause | Control |
SA346373 | 20210111_LC_86 | Plasma | Postmenopause | Control |
SA346374 | 20210111_ML_144 | Plasma | Postmenopause | Control |
SA346375 | 20210111_ML_147 | Plasma | Postmenopause | Control |
SA346376 | 20210111_LC_51 | Plasma | Postmenopause | Control |
SA346377 | 20210111_ML_134 | Plasma | Postmenopause | Control |
SA346378 | 20210111_ML_123 | Plasma | Postmenopause | Control |
SA346379 | 20210111_ML_115 | Plasma | Postmenopause | Control |
SA346380 | 20210111_MP_92 | Plasma | Postmenopause | Control |
SA346381 | 20210111_ML_119 | Plasma | Postmenopause | Control |
SA346382 | 20210111_LC_53 | Plasma | Postmenopause | Control |
SA346383 | 20210111_LC_62 | Plasma | Postmenopause | Control |
SA346384 | 20210111_LC_80 | Plasma | Postmenopause | Control |
SA346385 | 20210111_LC_82 | Plasma | Postmenopause | Control |
SA346386 | 20210111_LC_85 | Plasma | Postmenopause | Control |
SA346387 | 20210111_LC_76 | Plasma | Postmenopause | Control |
SA346388 | 20210111_LC_71 | Plasma | Postmenopause | Control |
SA346389 | 20210111_LC_66 | Plasma | Postmenopause | Control |
SA346390 | 20210111_LC_67 | Plasma | Postmenopause | Control |
SA346391 | 20210111_LC_68 | Plasma | Postmenopause | Control |
SA346392 | 20210111_ML_114 | Plasma | Postmenopause | Control |
SA346393 | 20210111_ML_71 | Plasma | Postmenopause | Control |
SA346394 | 20210111_MP_80 | Plasma | Postmenopause | Control |
SA346395 | 20210111_MP_82 | Plasma | Postmenopause | Control |
SA346396 | 20210111_MP_66 | Plasma | Postmenopause | Control |
SA346397 | 20210111_MP_76 | Plasma | Postmenopause | Control |
SA346398 | 20210111_MP_71 | Plasma | Postmenopause | Control |
SA346399 | 20210111_MP_51 | Plasma | Postmenopause | Control |
SA346400 | 20210111_MP_67 | Plasma | Postmenopause | Control |
SA346401 | 20210111_MP_53 | Plasma | Postmenopause | Control |
SA346402 | 20210111_MP_85 | Plasma | Postmenopause | Control |
SA346403 | 20210111_MP_62 | Plasma | Postmenopause | Control |
SA346404 | 20210111_MP_68 | Plasma | Postmenopause | Control |
SA346405 | 20210111_MP_89 | Plasma | Postmenopause | Control |
SA346406 | 20210111_MP_86 | Plasma | Postmenopause | Control |
SA346407 | 20210111_ML_90 | Plasma | Postmenopause | Depression |
SA346408 | 20210111_ML_91 | Plasma | Postmenopause | Depression |
SA346409 | 20210111_MP_55 | Plasma | Postmenopause | Depression |
SA346410 | 20210111_MP_56 | Plasma | Postmenopause | Depression |
SA346411 | 20210111_ML_55 | Plasma | Postmenopause | Depression |
Collection:
Collection ID: | CO003293 |
Collection Summary: | Blood samples were colected after 12 hours overnight fast and centrifuged 20 min, 3000 RPM, 4ºC |
Sample Type: | Blood (plasma) |
Treatment:
Treatment ID: | TR003309 |
Treatment Summary: | No treatment. Analyses of pre- and post-menopause women with or without depressive symptons |
Sample Preparation:
Sampleprep ID: | SP003307 |
Sampleprep Summary: | Aliquots of 50 µL of plasma were added into a 96-deep well plate cell to which 1 µL of thiol-derivatization solution (200 mM N-ethylmaleimide (NEM) + 2 mM citric acid) was added. Subsequently, 200 µL of precipitation solution (acetonitrile/isopropanol (7:3, v/v) + 1% formic acid + isotopically labelled internal standards) were added. After vortex agitation for 10 min. and refrigeration at -20ºC for 10 minutes, the samples were centrifuged (14.000 rpm for 10 minutes at 4°C). |
Combined analysis:
Analysis ID | AN005225 |
---|---|
Analysis type | MS |
Chromatography type | Reversed phase |
Chromatography system | Shimadzu Nexera X2 |
Column | Merck Discovery HS F5 (PFP) (150 x 2.1mm,3um) |
MS Type | ESI |
MS instrument type | Triple quadrupole |
MS instrument name | Shimadzu LCMS-IT-TOF |
Ion Mode | UNSPECIFIED |
Units | Peak area |
Chromatography:
Chromatography ID: | CH003952 |
Chromatography Summary: | Shimadzu Nexera X2 was used for chromatography, whereas Shimadzu LCMS-IT-TOF was used for MS runs |
Instrument Name: | Shimadzu Nexera X2 |
Column Name: | Merck Discovery HS F5 (PFP) (150 x 2.1mm,3um) |
Column Temperature: | 40ºC |
Flow Gradient: | from 100% A to 5% A in 15 min., maintained 5% A for 5 min |
Flow Rate: | 0.25 mL/min for 20 minutes |
Solvent A: | 100% water; 0.1% formic acid |
Solvent B: | 100% acetonitrile; 0.1% formic acid |
Chromatography Type: | Reversed phase |
MS:
MS ID: | MS004958 |
Analysis ID: | AN005225 |
Instrument Name: | Shimadzu LCMS-IT-TOF |
Instrument Type: | Triple quadrupole |
MS Type: | ESI |
MS Comments: | polarity switching was used |
Ion Mode: | UNSPECIFIED |