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Record W1481628704 · doi:10.5352/jls.2013.23.12.1495

Effects of Hizikia fusiforme Fractions on Melanin Synthesis in B16F10 Melanoma Cells

2013· article· en· W1481628704 on OpenAlexaff
Eun Ok Choi, Hyang Suk Kim, Min Ho Han, Yung Hyun Choi, Cheol Park, Byung Woo Kim, Hye Jin Hwang

Bibliographic record

VenueJournal of Life Science · 2013
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
Topicmelanin and skin pigmentation
Canadian institutionsInstitute of Aging
Fundersnot available
KeywordsTyrosinaseMelaninMicrophthalmia-associated transcription factorChemistrySkin whiteningEthyl acetateBiochemistryEthanolMelanomaMelanocyteMolecular biologyPharmacologyEnzymeBiologyCancer research

Abstract

fetched live from OpenAlex

본 연구에서는 톳 분획물의 미백효과 및 그에 따른 생화학적 기전의 해석을 위하여 톳 분획물이 <TEX>${\alpha}$</TEX>-MSH에 의해 인위적으로 유발된 melanogenesis 과정에 있어서 어떠한 영향을 미치는 지를 조사하였고, 이때 MITF, TRP1, TRP2, tyrosinase 등과 같은 melanin 생성에 관여하는 유전자들의 발현에 어떠한 변화가 유발되었는지를 조사하였다. 톳 분획물 처리가 B16F10 mouse melanoma cell의 멜라닌의 생성량과 tyrosinase의 활성에 미치는 영향을 확인한 결과, butanol fraction (BFHF) 처리군과 water fraction (WFHF) 처리군을 제외한 ethyl extract (EEHF) 처리군, dichlorimethane fraction (CFHF ) 처리군, ethyl acetate fraction (EAFHF) 처리군 모두 농도의존적으로 멜라닌 생성량과 tyrosinase 활성이 억제되었으며, MITF, TRP1, TRP2, tyrosinase의 발현이 단백질 수준에서 감소하였음을 확인하였다. 그 중 특히 EEHF 처리군과 CFHF 처리군은 50 <TEX>${\mu}g/ml$</TEX>의 농도에서 멜라닌 생성량을 40.5%, 33.2% 감소시켰으며, tyrosinase 활성도 50 <TEX>${\mu}g/ml$</TEX>의 농도에서 각각 53.3%, 54.1% 감소시켰다. 또한 EEHF, CFHF, EAFHF 처리군에서 MITF, TRP1, TRP2, tyrosinase의 발현이 농도 의존적으로 감소하였음을 확인하였다. 이상의 결과를 살펴볼 때 톳 분획물 중 특히 EEHF 처리군과 CFHF 처리군이 B16F10 mouse melanoma cell에서 melanin 생성에 관여하는 유전자인 MITF, TRP1, TRP2, tyrosinase 발현을 억제하므로 향후 미백 기능성 소재로서의 활용이 가능할 것이라고 사료된다. The objective of this study was to evaluate the anti-melanogenic effects of Hizikia fusiforme (HF) fractions in <TEX>${\alpha}$</TEX>-melanocyte stimulating hormone-induced B16F10 mouse melanoma cells. Ethanol extractions of Hizikia fusiforme (EEHF) were subjected to fraction by using dichloromethane (CFHF), ethyl acetate (EAFHF), butanol (BFHF), and water (WFHF). EEHF, CFHF, and EAFHF inhibited tyrosinase activity and melanin synthesis in B16F10 mouse melanoma cells in a dose-dependent manner. The melanin contents were inhibited by 40.5% and 33.2% in response to treatment with 50 <TEX>${\mu}g/ml$</TEX> of EEHF and CFHF, respectively. In addition, tyrosinase activities showed a 53.3% and 54.1% reduction in treatment with 50 <TEX>${\mu}g/ml$</TEX> of EEHF and CFHF. Western blotting analysis showed that EEHF, CFHF, and EAFHF inhibited tyrosinase, TRP-1, TRP-2, and MITF expression in a dose-dependent manner. In conclusion, these findings indicate that ethanol and dichloromethane fractions of Hizikia fusiforme, which inhibit melanin synthesis and tyrosinase activity, are effective skin-whitening agents.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.048
Threshold uncertainty score0.209

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.006
GPT teacher head0.239
Teacher spread0.233 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations7
Published2013
Admission routes1
Has abstractyes

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