Literature DB >> 30128652

Upgraded Methodology for the Development of Early Diagnosis of Parkinson's Disease Based on Searching Blood Markers in Patients and Experimental Models.

Alexander Kim1, Razina Nigmatullina2, Zuleikha Zalyalova2,3, Natalia Soshnikova4, Alexey Krasnov4, Nadezhda Vorobyeva4, Sofia Georgieva4,5, Vladimir Kudrin6, Viktor Narkevich6, Michael Ugrumov7,8.   

Abstract

Numerous attempts to develop an early diagnosis of Parkinson's disease (PD) by searching biomarkers in biological fluids were unsuccessful. The drawback of this methodology is searching markers in patients at the clinical stage without guarantee that they are also characteristic of either preclinical stage or prodromal stage (preclinical-prodromal stage). We attempted to upgrade this methodology by selecting only markers that are found both in patients and in PD animal models. HPLC and RT-PCR were used to estimate the concentration of amino acids, catecholamines/metabolites in plasma and gene expression in lymphocytes in 36 untreated early-stage PD patients and 52 controls, and in 1-methyl-4-phenyl-1,2,3,6-tetrahydropyridine (MPTP)-treated mice at modeling the clinical ("symptomatic") stage and preclinical-prodromal ("presymptomatic") stage of PD. It was shown that among 13 blood markers found in patients, 7 markers are characteristic of parkinsonian symptomatic mice and 3 markers of both symptomatic and presymptomatic mice. According to our suggestion, the detection of the same marker in patients and symptomatic animals indicates adequate reproduction of pathogenesis along the corresponding metabolic pathway, whereas the detection of the same marker in presymptomatic animals indicates its specificity for preclinical-prodromal stage. This means that the minority of markers found in patients-decreased concentration of L-3,4-dihydroxyphenylalanine (L-DOPA) and dihydroxyphenylacetic acid (DOPAC) and increased dopamine D3 receptor gene expression-are specific for preclinical-prodromal stage and are suitable for early diagnosis of PD. Thus, we upgraded a current methodology for development of early diagnosis of PD by searching blood markers not only in patients but also in parkinsonian animals.

Entities:  

Keywords:  Animal model; Blood markers; Early diagnosis; Parkinson’s disease

Mesh:

Substances:

Year:  2018        PMID: 30128652     DOI: 10.1007/s12035-018-1315-2

Source DB:  PubMed          Journal:  Mol Neurobiol        ISSN: 0893-7648            Impact factor:   5.590


  8 in total

Review 1.  Dopamine D3 receptor: A neglected participant in Parkinson Disease pathogenesis and treatment?

Authors:  Pengfei Yang; Joel S Perlmutter; Tammie L S Benzinger; John C Morris; Jinbin Xu
Journal:  Ageing Res Rev       Date:  2019-11-22       Impact factor: 10.895

Review 2.  Emerging targets for the diagnosis of Parkinson's disease: examination of systemic biomarkers.

Authors:  Lara Cheslow; Adam E Snook; Scott A Waldman
Journal:  Biomark Med       Date:  2021-05-14       Impact factor: 2.498

3.  Dopamine D1 + D3 receptor density may correlate with parkinson disease clinical features.

Authors:  Pengfei Yang; William C Knight; Huifangjie Li; Yingqiu Guo; Joel S Perlmutter; Tammie L S Benzinger; John C Morris; Jinbin Xu
Journal:  Ann Clin Transl Neurol       Date:  2020-12-21       Impact factor: 4.511

4.  A Pilot Study of Changes in the Level of Catecholamines and the Activity of α-2-Macroglobulin in the Tear Fluid of Patients with Parkinson's Disease and Parkinsonian Mice.

Authors:  Vsevolod Bogdanov; Alexander Kim; Marina Nodel; Tatiana Pavlenko; Ekaterina Pavlova; Victor Blokhin; Natalia Chesnokova; Michael Ugrumov
Journal:  Int J Mol Sci       Date:  2021-04-29       Impact factor: 5.923

Review 5.  Tear Biomarkers in Alzheimer's and Parkinson's Diseases, and Multiple Sclerosis: Implications for Diagnosis (Systematic Review).

Authors:  Angelika Król-Grzymała; Edyta Sienkiewicz-Szłapka; Ewa Fiedorowicz; Dominika Rozmus; Anna Cieślińska; Andrzej Grzybowski
Journal:  Int J Mol Sci       Date:  2022-09-04       Impact factor: 6.208

Review 6.  Animal Models for Parkinson's Disease Research: Trends in the 2000s.

Authors:  Kyohei Kin; Takao Yasuhara; Masahiro Kameda; Isao Date
Journal:  Int J Mol Sci       Date:  2019-10-30       Impact factor: 5.923

Review 7.  Development of early diagnosis of Parkinson's disease: Illusion or reality?

Authors:  Michael Ugrumov
Journal:  CNS Neurosci Ther       Date:  2020-06-29       Impact factor: 7.035

8.  The Sphingolipid Asset Is Altered in the Nigrostriatal System of Mice Models of Parkinson's Disease.

Authors:  Victor Blokhin; Maria Shupik; Ulyana Gutner; Ekaterina Pavlova; Albert T Lebedev; Olga Maloshitskaya; Vsevolod Bogdanov; Sergey Sokolov; Alice Alessenko; Michael Ugrumov
Journal:  Biomolecules       Date:  2022-01-06
  8 in total

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