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(Referência obtida automaticamente do Web of Science, por meio da informação sobre o financiamento pela FAPESP e o número do processo correspondente, incluída na publicação pelos autores.)

Simplifying the human serum proteome for discriminating patients with bipolar disorder of other psychiatry conditions

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Autor(es):
de Jesus, Jemmyson Romario [1, 2] ; Galazzi, Rodrigo Moretto [1, 2] ; de Lima, Tatiani Brenelli [3] ; Muller Banzato, Claudio Eduardo [4] ; Lima e Silva, Luiz Fernando de Almeida [4] ; Dantas, Clarissa de Rosalmeida [4] ; Gozzo, Fabio Cezar [3] ; Zezzi Arruda, Marco Aurelio [1, 2]
Número total de Autores: 8
Afiliação do(s) autor(es):
[1] Univ Estadual Campinas, UNICAMP, Inst Chem, Spectrometry Sample Preparat & Mech Grp GEPAM, Campinas, SP - Brazil
[2] Univ Estadual Campinas, UNICAMP, Inst Chem, Natl Inst Sci & Technol Bioanalyt, Campinas, SP - Brazil
[3] Univ Estadual Campinas, UNICAMP, Inst Chem, Dalton Mass Spectrometry Grp, Campinas, SP - Brazil
[4] Univ Estadual Campinas, UNICAMP, Fac Med Sci, Dept Psychiat, Campinas, SP - Brazil
Número total de Afiliações: 4
Tipo de documento: Artigo Científico
Fonte: CLINICAL BIOCHEMISTRY; v. 50, n. 18, p. 1118-1125, DEC 2017.
Citações Web of Science: 2
Resumo

Purpose: An exploratory analysis using proteomic strategies in blood serum of patients with bipolar disorder (BD), and with other psychiatric conditions such as Schizophrenia (SCZ), can provide a better understanding of this disorder, as well as their discrimination based on their proteomic profile. Methods: The proteomic profile of blood serum samples obtained from patients with BD using lithium or other drugs (N = 14), healthy controls, including non-family (HCNF; N = 3) and family (HCF; N = 9), patients with schizophrenia (SCZ; N = 23), and patients using lithium for other psychiatric conditions (OD; N = 4) were compared. Four methods for simplifying the serum samples proteome were evaluated for both removing the most abundant proteins and for enriching those of lower-abundance: protein depletion with acetonitrile (ACN), dithiothreitol (DTT), sequential depletion using DTT and ACN, and protein equalization using commercial ProteoMiner (R) kit (PM). For proteomic evaluation, 2-D DIGE and nanoLC-MS/MS analysis were employed. Results: PM method was the best strategy for removing proteins of high abundance. Through 2-D DIGE gel image comparison, 37 protein spots were found differentially abundant (p < 0.05, Student's t-test), which exhibited >= 2.0-fold change of the average value of normalized spot intensities in the serum of SCZ, BD and OD patients compared to subject controls (HCF and HCNF). From these spots detected, 13 different proteins were identified: ApoA1, ApoE, ApoC3, ApoA4, Samp, SerpinA1, TTR, IgK, Alb, VTN, TR, C4A and C4B. Conclusions: Proteomic analysis allowed the discrimination of patients with BD from patients with other mental disorders, such as SCZ. The findings in this exploratory study may also contribute for better understanding the pathophysiology of these disorders and finding potential serum biomarkers for these conditions. (AU)

Processo FAPESP: 16/07384-7 - Bioimageamento elementar por meio da ablação a laser e espectrometria de massas com plasma indutivamente acoplado
Beneficiário:Marco Aurelio Zezzi Arruda
Linha de fomento: Auxílio à Pesquisa - Regular