CD Skripsi

Profil Metabolomik Plasma Darah Mencit Depresi Yang Diinjeksi Ekstrak Metanol Biji Pinang Muda

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Depression was a psychological disorder with treatment effort carried out through antidepressant theraphy. One of natural ingredient that was reported to have potential as an antidepressant is areca nut which has been tested in vivo using the FST (Forced Swim Test) method with multiple simultaneous animal tests. In vivo test results showed that EMPM (Methanol Extract of Young Pinang Seeds) at a dose of 50 mg/kg was the best dose capable of reducing the immobility time of mice by 27.25% and there were no indications of toxic effects during subchronic treatment. Further research was carried out with the aim of analyzing the effect of EMPM antidepressants molecularly. This analysis was carried out by looking at metabolites that influence depression conditions through non-target metabolomic profile studies using LC-HRMS. The treatments carried out in this study were depressed mice which were injected with EMPM 50 mg/kg, depressed mice which were only injected with 0.9% saline as control (-) and healthy mice as control (+). Mice blood plasma was analyzed using LC-HRMS Q-TOF and continued with data processing using MS-DIAL software to identify the detected metabolites. Then proceed with the filtering process to determine potential metabolomic profiles. Next, a multivariate statistical analysis was carried out to see the separation and correlation of metabolite proximity between treatments. The final stage was to determine candidate metabolites from the metabolite profile results found based on literature review. The MS-DIAL identification results found 18,668 molecular features where after filtering, 36 metabolites were found as metabolite profiles that were successfully annotated with high confidence. The statistical data results also show a clear separation of metabolites between treatment groups where the EMPM metabolomic profile characteristics have a close correlation with control (+). From the results of a literature review of the metabolite profiles found, 8 putative metabolite candidates were determined to act as peripheral biomarkers for depression. Lipid metabolism ceramide, sphingomyelin (SM) and bile acid metabolism phospatidylcholine (PC) ,phosphatidylethanolamine (PE), deoxycholic acid (DCA), lithocholic acid (LCA), chenodeoxycholic acid (CDA) taurodeoxycholic acid (TDCA). Of the 8 candidate metabolites found, lipid metabolites were determinate to be the main candidate biomarker in this study.
Depression was a psychological disorder with treatment effort carried out through antidepressant theraphy. One of natural ingredient that was reported to have potential as an antidepressant is areca nut which has been tested in vivo using the FST (Forced Swim Test) method with multiple simultaneous animal tests. In vivo test results showed that EMPM (Methanol Extract of Young Pinang Seeds) at a dose of 50 mg/kg was the best dose capable of reducing the immobility time of mice by 27.25% and there were no indications of toxic effects during subchronic treatment. Further research was carried out with the aim of analyzing the effect of EMPM antidepressants molecularly. This analysis was carried out by looking at metabolites that influence depression conditions through non-target metabolomic profile studies using LC-HRMS. The treatments carried out in this study were depressed mice which were injected with EMPM 50 mg/kg, depressed mice which were only injected with 0.9% saline as control (-) and healthy mice as control (+). Mice blood plasma was analyzed using LC-HRMS Q-TOF and continued with data processing using MS-DIAL software to identify the detected metabolites. Then proceed with the filtering process to determine potential metabolomic profiles. Next, a multivariate statistical analysis was carried out to see the separation and correlation of metabolite proximity between treatments. The final stage was to determine candidate metabolites from the metabolite profile results found based on literature review. The MS-DIAL identification results found 18,668 molecular features where after filtering, 36 metabolites were found as metabolite profiles that were successfully annotated with high confidence. The statistical data results also show a clear separation of metabolites between treatment groups where the EMPM metabolomic profile characteristics have a close correlation with control (+). From the results of a literature review of the metabolite profiles found, 8 putative metabolite candidates were determined to act as peripheral biomarkers for depression. Lipid metabolism ceramide, sphingomyelin (SM) and bile acid metabolism phospatidylcholine (PC) ,phosphatidylethanolamine (PE), deoxycholic acid (DCA), lithocholic acid (LCA), chenodeoxycholic acid (CDA) taurodeoxycholic acid (TDCA). Of the 8 candidate metabolites found, lipid metabolites were determinate to be the main candidate biomarker in this study.

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003110697

Penerbit

: .,

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

-

Klasifikasi

2003110697

Tipe Isi

-

Tipe Media

-

Tipe Pembawa

-

Edisi

-

Subjek

KIMIA

Info Detail Spesifik

-

Pernyataan Tanggungjawab

mardiah

Versi lain/terkait

Lampiran Berkas

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