Correlations between clinical features of bipolar affective disorder and serum concentrations of ANKRD12 gene product, coagulation factor XIII, and cadherin 5

Seregin, A.; Smirnova, L.; Dmitrieva, E. Yu.; Boksha, Irina S.; Savushkina, Olga K.; Симуткин, Г. Г.; Ivanova, Svetlana A.

doi:10.17116/jnevro2022122111137

Cited by 2 publications

(1 citation statement)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For clinical practice, studies of biological fluids are more popular, according to which various physiological states of organs and systems, including the brain, are reflected in their composition [32,33]. Therefore, it is important to study potential biomarkers of mental disorders in an easily accessible material-blood serum [34][35][36][37][38][39][40][41]. However, all discovered proteins do not solve the problem of differential diagnosis of mental disorders due to their non-specificity.…”

Section: Introductionmentioning

confidence: 99%

Differential Expression of Proteins Associated with Bipolar Disorder as Identified Using the PeptideShaker Software

Seregin,

Smirnova,

Dmitrieva

et al. 2023

IJMS

Self Cite

View full text Add to dashboard Cite

The prevalence of bipolar disorder (BD) in modern society is growing rapidly, but due to the lack of paraclinical criteria, its differential diagnosis with other mental disorders is somewhat challenging. In this regard, the relevance of proteomic studies is increasing due to the development of methods for processing large data arrays; this contributes to the discovery of protein patterns of pathological processes and the creation of new methods of diagnosis and treatment. It seems promising to search for proteins involved in the pathogenesis of BD in an easily accessible material—blood serum. Sera from BD patients and healthy individuals were purified via affinity chromatography to isolate 14 major proteins and separated using 1D SDS-PAGE. After trypsinolysis, the proteins in the samples were identified via HPLC/mass spectrometry. Mass spectrometric data were processed using the OMSSA and X!Tandem search algorithms using the UniProtKB database, and the results were analyzed using PeptideShaker. Differences in proteomes were assessed via an unlabeled NSAF-based analysis using a two-tailed Bonferroni-adjusted t-test. When comparing the blood serum proteomes of BD patients and healthy individuals, 10 proteins showed significant differences in NSAF values. Of these, four proteins were predominantly present in BD patients with the maximum NSAF value: 14-3-3 protein zeta/delta; ectonucleoside triphosphate diphosphohydrolase 7; transforming growth factor-beta-induced protein ig-h3; and B-cell CLL/lymphoma 9 protein. Further exploration of the role of these proteins in BD is warranted; conducting such studies will help develop new paraclinical criteria and discover new targets for BD drug therapy.

show abstract

Section: Introductionmentioning

confidence: 99%

Differential Expression of Proteins Associated with Bipolar Disorder as Identified Using the PeptideShaker Software

Seregin,

Smirnova,

Dmitrieva

et al. 2023

IJMS

Self Cite

View full text Add to dashboard Cite

show abstract

Probabilistic diagnosis of bipolar affective disorder: possibilities and limitations (literature review)

Simutkin

2024

V.M. BEKHTEREV REVIEW OF PSYCHIATRY AND MEDICAL PSYCHOLOGY

View full text Add to dashboard Cite

The literature review presents the main modern data on the epidemiology and socio-economic significance of bipolar affective disorder (BD), discusses the difficulties of early diagnosis of bipolar spectrum disorders, predictors of the bipolar course of affective disorders and a probabilistic approach to the diagnosis of BD, discusses controversial issues in the diagnosis of mixed affective states, the use of potential biomarkers both for the diagnosis of bipolar disorder and for the differential diagnosis of unipolar and bipolar depression, as well as possible therapeutic approaches for the probabilistic diagnosis of bipolar disorder.

show abstract

Correlations between clinical features of bipolar affective disorder and serum concentrations of ANKRD12 gene product, coagulation factor XIII, and cadherin 5

Cited by 2 publications

References 12 publications

Differential Expression of Proteins Associated with Bipolar Disorder as Identified Using the PeptideShaker Software

Differential Expression of Proteins Associated with Bipolar Disorder as Identified Using the PeptideShaker Software

Probabilistic diagnosis of bipolar affective disorder: possibilities and limitations (literature review)

Contact Info

Product

Resources

About