PXD015049-2

PXD015049 is an original dataset announced via ProteomeXchange.

Title	Proteomic landscape of atypical antipsychotics clinical response in blood plasma from schizophrenia patients
Description	Antipsychotics are the main line of treatment for schizophrenia, despite being effective only in about 50% of patients. Additionally, serious side effects may cause medication drop-out, aggravated by a lack of understanding about how these drugs act at molecular level. As proteomics is a suitable tool for studying multifactorial disorders, the main goal was to unravel signaling pathways in blood plasma associated with a positive treatment outcome for the atypical antipsychotics olanzapine and risperidone. Blood plasma was collected from schizophrenia patients six weeks after treatment (T6), and patients were classified as good or poor responders to olanzapine or risperidone, and then samples were compared to each patient's baseline (T0). All samples were analyzed using label-free quantitative shotgun proteomics. Samples were depleted of the 14 most abundant proteins in plasma, were digested, and then submitted to M-Class two-dimensional nano-liquid chromatography, coupled online to a Synapt G2-Si mass spectrometer. Data was obtained in MSE mode (data- independent acquisition) in combination with ion-mobility (HDMSE). The proteins found to be differentially abundant in good responders compared to poor responders for risperidone and olanzapine were functionally analyzed in silico using Ingenuity® Pathway Analysis and were found to be mostly involved with immune system functions. This data can contribute to better understand the biochemical signaling peripherally triggered by antipsychotic medication, and can eventually be used to help improve treatment outcome by predicting patient response as well as through the development of new medication or a combination of drugs that act on the immune system to reduce the duration of poor response periods in patients suffering with schizophrenia.
HostingRepository	PRIDE
AnnounceDate	2024-10-22
AnnouncementXML	Submission_2024-10-22_05:06:43.627.xml
DigitalObjectIdentifier
ReviewLevel	Peer-reviewed dataset
DatasetOrigin	Original dataset
RepositorySupport	Unsupported dataset by repository
PrimarySubmitter	Sheila Garcia-Rosa
SpeciesList	scientific name: Homo sapiens (Human); NCBI TaxID: 9606;
ModificationList	monohydroxylated residue; iodoacetamide derivatized residue
Instrument	Synapt MS

Revision	Datetime	Status	ChangeLog Entry
0	2019-08-16 01:26:05	ID requested
1	2020-06-01 07:47:08	announced
⏵ 2	2024-10-22 05:06:48	announced	2024-10-22: Updated project metadata.

Garcia-Rosa S, Carvalho BS, Guest PC, Steiner J, Martins-de-Souza D, Blood plasma proteomic modulation induced by olanzapine and risperidone in schizophrenia patients. J Proteomics, 224():103813(2020) [pubmed]

10.1016/j.jprot.2020.103813;

submitter keyword: proteomics, blood plasma, mass spectrometry, olanzapine, risperidone,schizophrenia, antipsychotics

Daniel Martins-de-Souza
contact affiliation	Dept. of Biochemistry, Laboratory of Neuroproteomic, Biology Institute, Brazil
contact email	dmsouza@unicamp.br
lab head
Sheila Garcia-Rosa
contact affiliation	Universidade Estadual de Campinas (UNICAMP)
contact email	garcia.sheilla@gmail.com
dataset submitter

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PRIDE project URI

• PRIDE
  1. PXD015049
     1. Label: PRIDE project
     2. Name: Proteomic landscape of atypical antipsychotics clinical response in blood plasma from schizophrenia patients