CD Skripsi

Analisis Plasma Darah Mencit Jantan Depresi Yang Diinjeksikan Obat Antidepresan Fluoxetine Menggunakan LC-HRMS

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Depression is a mental health disorder that affects behavior and emotions in daily activities over a long period of time. Selective serotonin reuptake inhibitors (SSRI) antidepressant drugs, one of which is fluoxetine, are often used by physicians to manage symptoms of depression. The results of in vivo tests using the forced swim test (FST) method of multiple animal tests simultaneously have shown that the drug fluoxetine 20 mg/kg was able to reduce the immobility time of male depressed mice by 43.60%. FST carried out is only an initial screening and has not been able to identify molecular metabolites that can potentially be candidates for biomarkers of depression. This study was conducted with the aim of identifying as much as possible metabolites found in the blood plasma of mice in order to obtain candidate biomarkers of depression through an untargeted metabolomic approach. The LC-HRMS instrument was used to analyze the blood plasma of control (+), control (-), and mice that had been injected with the antidepressant drug of fluoxetine 20 mg/kg. The obtained data were analyzed with MS-DIAL software, then the data were filtered with several steps and matched with the human metabolome database (HMDB). A literature review was also conducted to explain metabolites that have the potential as candidate biomarkers of depression. Multivariate statistical analysis consisting of PCA and heatmaps was performed using MetaboAnalyst. The results of identification with several stages in MS-DIAL found as many as 18,223 metabolites and 23 annotated metabolites have been obtained after the filtering process and identified in HMDB. As a result of the literature review, five candidate metabolites were found as biomarkers of depression, namely dihydroceramide, lactosylceramide, sphingosine-1-phosphate and choline derived from the lipid metabolic pathway, and 5-hydroxyindoleacetate derived from the tryptophan metabolic pathway. The results of the PCA analysis showed a clear separation of the three treatments, and the results of the heatmaps analysis showed that the fluoxetine group had a positive correlation with the control (+) compared to the control (-). So It can be concluded that fluoxetine is highly effective in treating depression.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003113841

Penerbit

Pekanbaru : Universitas Riau FMIPA Kimia., 2024

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2003113841

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

KIMIA

Info Detail Spesifik

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Pernyataan Tanggungjawab

Mutia

Versi lain/terkait

Lampiran Berkas

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