• 박물관보존과학
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• 제4권
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• pp.63-69
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• 2003

고고 자료의 생물학적 원천을 파악하여 고대 사람들의 생활양식 등에 관한 정보를 알아내기 위하여 잔존지방분석법이 이용되고 있다. 이를 위해서는 우선 현생생물의 잔존지방분석 데이터베이스 구축이 선행되어야 한다. 본 연구에서는 현생시료인 소와 개의 일부를 채취하여 잔존지방분석을 실시하여 추후 수행될 고고 자료 분석의 기초자료로 이용하고자 하였다.

• Journal of Microbiology and Biotechnology
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• 제32권11호
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• pp.1406-1415
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• 2022

The formation of macrophage foam cells stimulated by oxidized low-density lipoprotein (ox-LDL) is deemed an important cause of atherosclerosis. Transcription factor Yin Yang 1 (YY1), which is a universally expressed multifunctional protein, is closely related to cell metabolism disorders such as lipid metabolism, sugar metabolism, and bile acid metabolism. However, whether YY1 is involved in macrophage inflammation and lipid accumulation still remains unknown. After mouse macrophage cell line RAW264.7 cells were induced by ox-LDL, YY1 and proprotein convertase subtilisin/kexin type 9 (PCSK9) expressions were found to be increased while low-density lipoprotein receptor (LDLR) expression was lowly expressed. Subsequently, through reverse transcription-quantitative polymerase chain reaction (RT-qPCR), Western blot analysis, Oil Red O staining and cholesterol quantification, it turned out that silencing of YY1 attenuated the inflammatory response and lipid accumulation in RAW264.7 cells caused by ox-LDL. Moreover, results from the JASPAR database, chromatin immunoprecipitation (ChIP) assay, luciferase reporter assay and Western blot analysis suggested that YY1 activated PCSK9 by binding to PCSK9 promoter and modulated the expression of LDLR in the downstream of PCSK9. In addition, the results of functional experiments demonstrated that the inhibitory effects of YY1 interference on ox-LDL-mediated macrophage inflammation and lipid accumulation were reversed by PCSK9 overexpression. To sum up, YY1 depletion inhibited its activation of PCSK9, thereby reducing cellular inflammatory response, cholesterol homeostasis imbalance, and lipid accumulation caused by ox-LDL.

• 대한본초학회지
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• 제38권1호
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• pp.45-53
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• 2023

Objectives : Network pharmacology-based research is one of useful tool to predict the possible efficacy and molecular mechanisms of natural materials with multi compounds-multi targeting effects. In this study, we investigated the functional underlying mechanisms of Astragalus membranaceus Bunge (AM) on its anti-obesity effects using a network pharmacology analysis. Methods : The constituents of AM were collected from public databases and its target genes were gathered from PubChem database. The target genes of AM were compared with the gene set of obesity to find the correlation. Then, the network was constructed by Cytoscape 3.9.1. and functional enrichment analysis was conducted to predict the most relevant pathway of AM. Results : The result showed that AM network contained the 707 nodes and 6867 edges, and 525 intersecting genes were exhibited between AM and obesity gene set, indicating that high correlation with the effects of AM on obesity. Based on GO biological process and KEGG Pathway, 'Response to lipid', 'Cellular response to lipid', 'Lipid metabolic process', 'Regulation of chemokine production', 'Regulation of lipase activity', 'Chemokine signaling pathway', 'Regulation of lipolysis in adipocytes' and 'PPAR signaling pathway' were predicted as functional pathways of AM on obesity. Conclusions : AM showed high relevance with the lipid metabolism related with the chemokine production and lipolysis pathways. This study could be a basis that AM has promising effects on obesity via network pharmacology analysis.

• 한국식품영양과학회지
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• 제28권6호
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• pp.1191-1200
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• 1999

This study was designed to determine total lipid and trans fatty acids(tFAs) content of 157 food items commonly consumed in the Korean diet and to prepare the database for the estimation of tFAs intake in Koreans. Total lipid and tFAs content was determined by Bligh and Dyer method and attenuated total reflection infrared spectroscopy, respectively. The content of tFAs in margarines ranged from 0.8% to 25.2%, depending on the manufacturers. In bakery products, cakes contained higher levels of tFAs(0.8~16.9%) than hamburgers(0.8~8.4%) and doughnuts(4.9~10%). The distribution of tFAs in crackers and cookies was wide(0.8~25%), whereas meat and fish products contained 0% to 8.9% of tFAs. Fried chickens had 0% to 14.6% of tFAs and French fries had 5.2% to 18.8% of tFAs. In noodles, nuts, chocolates and fermented fish sauces, tfAs were not detected.

• Bulletin of the Korean Chemical Society
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• 제32권4호
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• pp.1170-1178
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• 2011

In the present study, the approach of high accuracy mass measurements for phospholipid identifications was evaluated using a 7 T ESI-FTMS/linear ion trap MS/MS. Experiments were carried out for porcine brain, bovine liver, and soybean total lipid extracts in both positive and negative ion modes. In total, 59, 55, and 18 phospholipid species were characterized in the positive ion mode for porcine brain, bovine liver, and soybean lipid extracts, respectively. Assigned lipid classes were PC, PE, PEt, PS, and SM. In the negative ion mode, PG, PS, PA, PE, and PI classes were observed. In the negative ion mode, for porcine brain, bovine liver, and soybean lipid extracts, 28, 34, and 29 species were characterized, respectively. Comparison of our results with those obtained by other groups using derivatization-LC-APCI MS and nano-RP-LC-MS/MS showed that our approach can characterize PC species as effectively as those methods could. In conclusion, we demonstrated that high accuracy mass measurements of total lipid extracts using a high resolution FTMS, particularly, 7T FTMS, plus ion-trap MS/MS are very useful in profiling lipid compositions in biological samples.

• 대한한의학방제학회지
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• 제26권3호
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• pp.237-250
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• 2018

Objectives : This study is a pharmacological network approach, aimed to identify the potential active compounds contained in Curcumae Radix, and their associated targets, to predict the various bio-reactions involved, and finally to establish the cornerstone for the deep-depth study of the representative mechanisms. Methods : The active compounds of Curcumae Radix have been identified using Traditional Chinese Medicine System Pharmacology Database and Analysis Platform. The UniProt database was used to collect each of information of all target proteins associated with the active compounds. To find the bio-metabolic processes associated with each target, the DAVID6.8 Gene Functional classifier tool was used. Compound-Target and Target-Pathway networks were analyzed via Cytoscape 3.40. Results : The target information from 32 potential active compounds of Curcumae Radix was collected through TCMSP analysis. The active compounds interact with 133 target genes engaging in total of 885 biological pathways. The most relevant pathway was the lipid-related metabolism, in which 3 representative active compounds were naringenin, oleic acid, and ${\beta}-sitosterol$. The mostly targeted proteins in the lipid pathway were ApoB, AKT1 and PPAR. Conclusions : The pharmacological network analysis is convenient approach to predict the overall metabolic mechanisms in medicinal herb research, which can reduce the processes of various experimental trial and error and provide key clues that can be used to validate and experimentally verify the core compounds.

• 방사선산업학회지
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• 제5권1호
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• pp.47-54
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• 2011

In this study, we investigated to evaluate differential expression of genes encoding lipid transfer proteins (LTP) by acute and chronic gamma irradiation in rice. After acute and chronic gamma irradiation by 100 Gy and 400 Gy to rice plant, necrotic lesion was observed in the leaf blade and anthocyanin contents were increased. We isolated a total of 21 rice lipid transfer protein (LTP) genes in the TIGR database, and these genes were divided into four different groups on the basis of nucleotide sequences. The LTP genes also were classified as different four classes according to expression pattern using RT-PCR. Group A, B contained genes with increased expression and decreased expression in acute and chronic, respectively. Group C contained genes with contrasted expression pattern. Group D wasn't a regular pattern. But the specific affinity was not obtained between two grouping.

• Asian-Australasian Journal of Animal Sciences
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• 제21권10호
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• pp.1383-1388
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• 2008

Because of high growth rate and large deposition of fat in the abdomen, the chicken has been used as a model organism for understanding lipid metabolism, fattening and growing. In this study, differentially expression of proteins in chicken liver, one of the important organs for lipid metabolism, has been investigated at four different growing stages. After separation of proteins using two-dimensional electrophoresis (2-DE), more than 700 protein spots were detected. Among them, 13 growing stage specific proteins in chicken liver were selected and further investigated by matrix-assisted laser adsorptions ionization-time of flight mass spectrometry (MALDI-TOF MS). Of these, 12 proteins were matched to existing proteins based on a database search. The identified fat-related proteins in this study were fatty acid synthase (FASN) and malic enzyme (ME1). These proteins were more highly expressed at week 32 than at other weeks. In order to confirm the differential expression, one of the proteins, FASN, was confirmed by western blotting. The identified proteins will give valuable information on biochemical roles in chicken liver, especially for lipid metabolism.

• Asian-Australasian Journal of Animal Sciences
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• 제32권9호
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• pp.1458-1468
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• 2019

Objective: As one of the most important metabolic organs, the liver plays vital roles in modulating the lipid metabolism. This study was to compare miRNA expression profiles of the Large White liver between two different developmental periods and to identify candidate miRNAs for lipid metabolism. Methods: Eight liver samples were collected from White Large of 70-day fetus (P70) and of 70-day piglets (D70) (with 4 biological repeats at each development period) to construct sRNA libraries. Then the eight prepared sRNA libraries were sequenced using Illumina next-generation sequencing technology on HiSeq 2500 platform. Results: As a result, we obtained 346 known and 187 novel miRNAs. Compared with the D70, 55 down- and 61 up-regulated miRNAs were shown to be significantly differentially expressed (DE). Gene ontology and Kyoto encyclopedia of genes and genomes enrichment analysis indicated that these DE miRNAs were mainly involved in growth, development and diverse metabolic processes. They were predicted to regulate lipid metabolism through adipocytokine signaling pathway, mitogen-activated protein kinase, AMP-activated protein kinase, cyclic adenosine monophosphate, phosphatidylinositol 3 kinase/protein kinase B, and Notch signaling pathway. The four most abundantly expressed miRNAs were miR-122, miR-26a and miR-30a-5p (miR-122 only in P70), which play important roles in lipid metabolism. Integration analysis (details of mRNAs sequencing data were shown in another unpublished paper) revealed that many target genes of the DE miRNAs (miR-181b, miR-145-5p, miR-199a-5p, and miR-98) might be critical regulators in lipid metabolic process, including acyl-CoA synthetase long chain family member 4, ATP-binding casette A4, and stearyl-CoA desaturase. Thus, these miRNAs were the promising candidates for lipid metabolism. Conclusion: Our study provides the main differences in the Large White at miRNA level between two different developmental stages. It supplies a valuable database for the further function and mechanism elucidation of miRNAs in porcine liver development and lipid metabolism.