Summary of Study ST001810
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 PR001144. The data can be accessed directly via it's Project DOI: 10.21228/M8TQ3Q 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 | ST001810 |
Study Title | Metabolomics-driven identification of biochemical mechanisms underlying the neuroprotective effects of pleiotrophin in a mouse model of Parkinson’s disease |
Study Summary | Pleiotrophin (PTN) is a cytokine involved in nerve tissue repair processes, neuroinflammation and neuronal survival. PTN expression levels are upregulated in the nigrostriatal pathway of Parkinson’s Disease (PD) patients. We aimed to characterize the dopaminergic injury and glial activation in the nigrostriatal pathway of mice with transgenic Ptn overexpression in the brain (Ptn-Tg) after intrastriatal injection of the Parkinsonian toxin 6-hydroxydopamine (6-OHDA). The injection of 6-OHDA induced a significant decrease of the number of tyrosine hydroxylase (TH)-positive neurons in the substantia nigra and of the striatal TH contents in Wild type (Wt) mice. In contrast, these effects of 6-OHDA were blocked in Ptn-Tg mice. 6-OHDA injection did not cause robust changes in microglia but induced an exacerbated astrocytic response in Wt mice compared with Ptn-Tg mice. In metabolomics studies, we detected interesting metabolites that significantly discriminate the more injured 6-OHDA-injected Wt striatum and the more protected 6-OHDA-injected Ptn-Tg striatum. Particularly, we detected groups of metabolites, mostly corresponding to phospholipids, whose trends were opposite in both groups. In summary, the data confirm the neuroprotective effect of brain PTN overexpression in this mouse model of PD. New lipid-related PD drug candidates emerge from this study and the data presented here support the increasingly recognized “lipid cascade” in PD. |
Institute | CEMBIO |
Last Name | Sáiz |
First Name | Jorge |
Address | JULIÁN ROMEA 23, Madrid, Madrid, 28003, Spain |
jorge.saizgalindo@ceu.es | |
Phone | none |
Submit Date | 2021-06-01 |
Raw Data Available | Yes |
Raw Data File Type(s) | d |
Analysis Type Detail | LC-MS |
Release Date | 2021-06-16 |
Release Version | 1 |
Select appropriate tab below to view additional metadata details:
Project:
Project ID: | PR001144 |
Project DOI: | doi: 10.21228/M8TQ3Q |
Project Title: | Metabolomics-driven identification of biochemical mechanisms underlying the neuroprotective effects of pleiotrophin in a mouse model of Parkinson’s disease |
Project Summary: | Pleiotrophin (PTN) is a cytokine involved in nerve tissue repair processes, neuroinflammation and neuronal survival. PTN expression levels are upregulated in the nigrostriatal pathway of Parkinson’s Disease (PD) patients. We aimed to characterize the dopaminergic injury and glial activation in the nigrostriatal pathway of mice with transgenic Ptn overexpression in the brain (Ptn-Tg) after intrastriatal injection of the Parkinsonian toxin 6-hydroxydopamine (6-OHDA). The injection of 6-OHDA induced a significant decrease of the number of tyrosine hydroxylase (TH)-positive neurons in the substantia nigra and of the striatal TH contents in Wild type (Wt) mice. In contrast, these effects of 6-OHDA were blocked in Ptn-Tg mice. 6-OHDA injection did not cause robust changes in microglia but induced an exacerbated astrocytic response in Wt mice compared with Ptn-Tg mice. In metabolomics studies, we detected interesting metabolites that significantly discriminate the more injured 6-OHDA-injected Wt striatum and the more protected 6-OHDA-injected Ptn-Tg striatum. Particularly, we detected groups of metabolites, mostly corresponding to phospholipids, whose trends were opposite in both groups. In summary, the data confirm the neuroprotective effect of brain PTN overexpression in this mouse model of PD. New lipid-related PD drug candidates emerge from this study and the data presented here support the increasingly recognized “lipid cascade” in PD. |
Institute: | Universidad CEU San Pablo |
Last Name: | Sáiz |
First Name: | Jorge |
Address: | JULIÁN ROMEA 23, Madrid, Madrid, 28003, Spain |
Email: | jorge.saizgalindo@ceu.es |
Phone: | 913 72 47 11 |
Subject:
Subject ID: | SU001887 |
Subject Type: | Mammal |
Subject Species: | Mus musculus |
Taxonomy ID: | 10090 |
Factors:
Subject type: Mammal; Subject species: Mus musculus (Factor headings shown in green)
mb_sample_id | local_sample_id | Subject type | Treatment |
---|---|---|---|
SA168132 | QC5-POS | QC | QC |
SA168133 | QC6-POS | QC | QC |
SA168134 | QC4-POS | QC | QC |
SA168135 | QC2-POS | QC | QC |
SA168136 | QC1-POS | QC | QC |
SA168137 | QC1-NEG | QC | QC |
SA168138 | QC3-POS | QC | QC |
SA168139 | QC7-POS | QC | QC |
SA168140 | QC6-NEG | QC | QC |
SA168141 | QC7-NEG | QC | QC |
SA168142 | QC4-NEG | QC | QC |
SA168143 | QC5-NEG | QC | QC |
SA168144 | QC3-NEG | QC | QC |
SA168145 | QC2-NEG | QC | QC |
SA168146 | T3-HD-NEG.d | Transg | OH-Dopamine |
SA168147 | T2-HD-NEG.d | Transg | OH-Dopamine |
SA168148 | T1-HD-NEG.d | Transg | OH-Dopamine |
SA168149 | T5-HD-NEG.d | Transg | OH-Dopamine |
SA168150 | T4-HD-NEG.d | Transg | OH-Dopamine |
SA168151 | T2-HD-POS.d | Transg | OH-Dopamine |
SA168152 | T3-HD-POS.d | Transg | OH-Dopamine |
SA168153 | T4-HD-POS.d | Transg | OH-Dopamine |
SA168154 | T1-HD-POS.d | Transg | OH-Dopamine |
SA168155 | T5-HD-POS.d | Transg | OH-Dopamine |
SA168156 | T1-VEH-NEG.d | Transg | Vehicle |
SA168157 | T7-VEH-NEG.d | Transg | Vehicle |
SA168158 | T6-VEH-NEG.d | Transg | Vehicle |
SA168159 | T5-VEH-NEG.d | Transg | Vehicle |
SA168160 | T6-VEH-POS.d | Transg | Vehicle |
SA168161 | T7-VEH-POS.d | Transg | Vehicle |
SA168162 | T4-VEH-NEG.d | Transg | Vehicle |
SA168163 | T5-VEH-POS.d | Transg | Vehicle |
SA168164 | T1-VEH-POS.d | Transg | Vehicle |
SA168165 | T2-VEH-NEG.d | Transg | Vehicle |
SA168166 | T2-VEH-POS.d | Transg | Vehicle |
SA168167 | T4-VEH-POS.d | Transg | Vehicle |
SA168168 | WT8-HD-NEG.d | WT | OH-Dopamine |
SA168169 | WT7-HD-NEG.d | WT | OH-Dopamine |
SA168170 | WT9-HD-NEG.d | WT | OH-Dopamine |
SA168171 | WT11-HD-NEG.d | WT | OH-Dopamine |
SA168172 | WT6-HD-NEG.d | WT | OH-Dopamine |
SA168173 | WT12-HD-NEG.d | WT | OH-Dopamine |
SA168174 | WT10-HD-NEG.d | WT | OH-Dopamine |
SA168175 | WT1-HD-NEG.d | WT | OH-Dopamine |
SA168176 | WT9-HD-POS.d | WT | OH-Dopamine |
SA168177 | WT8-HD-POS.d | WT | OH-Dopamine |
SA168178 | WT7-HD-POS.d | WT | OH-Dopamine |
SA168179 | WT10-HD-POS.d | WT | OH-Dopamine |
SA168180 | WT11-HD-POS.d | WT | OH-Dopamine |
SA168181 | WT5-HD-NEG.d | WT | OH-Dopamine |
SA168182 | WT12-HD-POS.d | WT | OH-Dopamine |
SA168183 | WT5-HD-POS.d | WT | OH-Dopamine |
SA168184 | WT6-HD-POS.d | WT | OH-Dopamine |
SA168185 | WT3-HD-NEG.d | WT | OH-Dopamine |
SA168186 | WT4-HD-NEG.d | WT | OH-Dopamine |
SA168187 | WT2-HD-NEG.d | WT | OH-Dopamine |
SA168188 | WT1-HD-POS.d | WT | OH-Dopamine |
SA168189 | WT4-HD-POS.d | WT | OH-Dopamine |
SA168190 | WT3-HD-POS.d | WT | OH-Dopamine |
SA168191 | WT2-HD-POS.d | WT | OH-Dopamine |
SA168192 | WT2-VEH-POS.d | WT | Vehicle |
SA168193 | WT1-VEH-POS.d | WT | Vehicle |
SA168194 | WT3-VEH-POS.d | WT | Vehicle |
SA168195 | WT7-VEH-NEG.d | WT | Vehicle |
SA168196 | WT6-VEH-POS.d | WT | Vehicle |
SA168197 | WT4-VEH-POS.d | WT | Vehicle |
SA168198 | WT7-VEH-POS.d | WT | Vehicle |
SA168199 | WT8-VEH-POS.d | WT | Vehicle |
SA168200 | WT10-VEH-POS.d | WT | Vehicle |
SA168201 | WT9-VEH-POS.d | WT | Vehicle |
SA168202 | WT1-VEH-NEG.d | WT | Vehicle |
SA168203 | WT2-VEH-NEG.d | WT | Vehicle |
SA168204 | WT8-VEH-NEG.d | WT | Vehicle |
SA168205 | WT9-VEH-NEG.d | WT | Vehicle |
SA168206 | WT6-VEH-NEG.d | WT | Vehicle |
SA168207 | WT4-VEH-NEG.d | WT | Vehicle |
SA168208 | WT3-VEH-NEG.d | WT | Vehicle |
SA168209 | WT10-VEH-NEG.d | WT | Vehicle |
Showing results 1 to 78 of 78 |
Collection:
Collection ID: | CO001880 |
Collection Summary: | Samples were collected and frozen at -80ºC |
Sample Type: | Brain |
Treatment:
Treatment ID: | TR001900 |
Treatment Summary: | Striatum resections were added to 300 µL MeOH:water (50:50) in 2 mL Eppendorf tubes and were first homogenized with glass beads in a TissueLyser LT (QIAGEN) for 2 min. The tubes were immersed in liquid N2 and homogenized again in the TissueLyser LT for another 2 min. A volume 100 µL of the homogenate was transferred into Eppendorf tubes of 1.5 mL and added with 320 µL of methanol and 80 µL of MTBE and the mixture was vortexed for 1 h. Afterwards, the vials were centrifuged at 4000 g for 20 min at 20 ºC and 300 µL of the supernatants were transferred into new tubes, which were evaporated to dryness in a vacuum concentrator. Finally, the residues were reconstituted in 50 µL of MeOH:water:MTBE (37:5:4), being the samples ready for their analysis. Blank samples were prepared following the sample procedure without the addition of any biological tissue. |
Sample Preparation:
Sampleprep ID: | SP001893 |
Sampleprep Summary: | Striatum resections were added to 300 µL MeOH:water (50:50) in 2 mL Eppendorf tubes and were first homogenized with glass beads in a TissueLyser LT (QIAGEN) for 2 min. The tubes were immersed in liquid N2 and homogenized again in the TissueLyser LT for another 2 min. A volume 100 µL of the homogenate was transferred into Eppendorf tubes of 1.5 mL and added with 320 µL of methanol and 80 µL of MTBE and the mixture was vortexed for 1 h. Afterwards, the vials were centrifuged at 4000 g for 20 min at 20 ºC and 300 µL of the supernatants were transferred into new tubes, which were evaporated to dryness in a vacuum concentrator. Finally, the residues were reconstituted in 50 µL of MeOH:water:MTBE (37:5:4), being the samples ready for their analysis. Blank samples were prepared following the sample procedure without the addition of any biological tissue. |
Combined analysis:
Analysis ID | AN002933 | AN002934 |
---|---|---|
Analysis type | MS | MS |
Chromatography type | Reversed phase | Reversed phase |
Chromatography system | Agilent 1200 | Agilent 1200 |
Column | RP C8 Agilent Poroshell (150 x 2.1mm,2.7um) | RP C8 Agilent Poroshell (150 x 2.1mm,2.7um) |
MS Type | ESI | ESI |
MS instrument type | QTOF | QTOF |
MS instrument name | Agilent 6520 QTOF | Agilent 6520 QTOF |
Ion Mode | POSITIVE | NEGATIVE |
Units | aera | area |
Chromatography:
Chromatography ID: | CH002174 |
Instrument Name: | Agilent 1200 |
Column Name: | RP C8 Agilent Poroshell (150 x 2.1mm,2.7um) |
Chromatography Type: | Reversed phase |
MS:
MS ID: | MS002724 |
Analysis ID: | AN002933 |
Instrument Name: | Agilent 6520 QTOF |
Instrument Type: | QTOF |
MS Type: | ESI |
MS Comments: | All data were controlled and acquired using Mass Hunter Qualitative Analysis B.07.00 (Agilent Technologies). Data obtained from LC-MS were cleaned of background noise and unrelated ions. Peak detection, deconvolution and alignment were performed by the recursive feature extraction (RFE) using Profinder Software B.08.00 (Agilent Technologies). Blank subtraction and filtering by frequency of at least 50% of the QC and 60% of each group and relative standard deviation (RSD) less than 30% in QC were performed, to keep only the relevant features. Missing values were substituted by KNN algorithm. |
Ion Mode: | POSITIVE |
MS ID: | MS002725 |
Analysis ID: | AN002934 |
Instrument Name: | Agilent 6520 QTOF |
Instrument Type: | QTOF |
MS Type: | ESI |
MS Comments: | All data were controlled and acquired using Mass Hunter Qualitative Analysis B.07.00 (Agilent Technologies). Data obtained from LC-MS were cleaned of background noise and unrelated ions. Peak detection, deconvolution and alignment were performed by the recursive feature extraction (RFE) using Profinder Software B.08.00 (Agilent Technologies). Blank subtraction and filtering by frequency of at least 50% of the QC and 60% of each group and relative standard deviation (RSD) less than 30% in QC were performed, to keep only the relevant features. Missing values were substituted by KNN algorithm. |
Ion Mode: | NEGATIVE |