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Du R, Ye L, Chen X, Meng Y, Zhou L, Chen Q, Zheng G, Hu J, Shi Z. Screening of Key Components for Melanogenesis Inhibition of Polygonum cuspidatum Extract Based on the Spectrum-Effect Relationship and Molecular Docking. Molecules 2024; 29:857. [PMID: 38398609 PMCID: PMC10891599 DOI: 10.3390/molecules29040857] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2023] [Revised: 01/04/2024] [Accepted: 01/15/2024] [Indexed: 02/25/2024] Open
Abstract
Polygonum cuspidatum (PC) extract has been listed in the "Catalog of Used Cosmetic Ingredients (2021 Edition)", which can inhibit melanogenesis, thus exerting a whitening effect, and has been widely used in cosmetics. However, there are currently no quality standards for PC extract used in cosmetics, and the bioactive components associated with anti-melanogenesis remain unclear. In view of this, the present study was the first to investigate the spectrum-effect relationship between fingerprints of PC extract and melanogenesis inhibition. Ten batches of PC extract fingerprints were established by HPLC. Pearson's correlation analysis, gray correlation analysis (GRA) and orthogonal partial least squares regression analysis (OPLSR) were used to screen out resveratrol, emodin and physcion as the main whitening active ingredients using the inhibition of tyrosinase in B16F10 cells as the pharmacological index. Then, the melanogenesis inhibitory effects of the above three components were verified by tyrosinase inhibition and a melanin content assay in B16F10 cells. The interaction between small molecules and proteins was investigated by the molecular docking method, and it was confirmed by quantitative real-time PCR (qRT-PCR) that resveratrol, emodin and physcion significantly down-regulated the transcript levels of melanogenesis-related factors. In conclusion, this study established a general model combining HPLC fingerprinting and melanogenesis inhibition and also analyzed the spectrum-effect relationship of PC extract, which provided theoretical support for the quality control of PC extract in whitening cosmetics.
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Affiliation(s)
- Ruojun Du
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (R.D.); (X.C.); (Y.M.); (L.Z.); (Q.C.)
| | - Lichun Ye
- Clinical College of Chinese Medicine, Hubei University of Traditional Chinese Medicine, Wuhan 430065, China;
| | - Xinyan Chen
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (R.D.); (X.C.); (Y.M.); (L.Z.); (Q.C.)
| | - Yan Meng
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (R.D.); (X.C.); (Y.M.); (L.Z.); (Q.C.)
| | - Lei Zhou
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (R.D.); (X.C.); (Y.M.); (L.Z.); (Q.C.)
| | - Qiao Chen
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (R.D.); (X.C.); (Y.M.); (L.Z.); (Q.C.)
| | - Guohua Zheng
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (R.D.); (X.C.); (Y.M.); (L.Z.); (Q.C.)
| | - Junjie Hu
- College of Pharmacy, Hubei University of Chinese Medicine, Wuhan 430065, China; (R.D.); (X.C.); (Y.M.); (L.Z.); (Q.C.)
| | - Zhaohua Shi
- Key Laboratory of Resources and Compound of Traditional Chinese Medicine, Ministry of Education, Hubei University of Traditional Chinese Medicine, Wuhan 430065, China
- Hubei Shizhen Laboratory, Wuhan 430065, China
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Hao D, Bai J, Du J, Wu X, Thomsen B, Gao H, Su G, Wang X. Overview of Metabolomic Analysis and the Integration with Multi-Omics for Economic Traits in Cattle. Metabolites 2021; 11:metabo11110753. [PMID: 34822411 PMCID: PMC8621036 DOI: 10.3390/metabo11110753] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2021] [Revised: 10/27/2021] [Accepted: 10/28/2021] [Indexed: 12/23/2022] Open
Abstract
Metabolomics has been applied to measure the dynamic metabolic responses, to understand the systematic biological networks, to reveal the potential genetic architecture, etc., for human diseases and livestock traits. For example, the current published results include the detected relevant candidate metabolites, identified metabolic pathways, potential systematic networks, etc., for different cattle traits that can be applied for further metabolomic and integrated omics studies. Therefore, summarizing the applications of metabolomics for economic traits is required in cattle. We here provide a comprehensive review about metabolomic analysis and its integration with other omics in five aspects: (1) characterization of the metabolomic profile of cattle; (2) metabolomic applications in cattle; (3) integrated metabolomic analysis with other omics; (4) methods and tools in metabolomic analysis; and (5) further potentialities. The review aims to investigate the existing metabolomic studies by highlighting the results in cattle, integrated with other omics studies, to understand the metabolic mechanisms underlying the economic traits and to provide useful information for further research and practical breeding programs in cattle.
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Affiliation(s)
- Dan Hao
- Beijing Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Beijing 100193, China; (D.H.); (J.B.); (J.D.); (X.W.)
- Shijiazhuang Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Shijiazhuang 052463, China
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark;
| | - Jiangsong Bai
- Beijing Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Beijing 100193, China; (D.H.); (J.B.); (J.D.); (X.W.)
- Shijiazhuang Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Shijiazhuang 052463, China
- College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Jianyong Du
- Beijing Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Beijing 100193, China; (D.H.); (J.B.); (J.D.); (X.W.)
- Shijiazhuang Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Shijiazhuang 052463, China
- College of Veterinary Medicine, China Agricultural University, Beijing 100193, China
| | - Xiaoping Wu
- Beijing Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Beijing 100193, China; (D.H.); (J.B.); (J.D.); (X.W.)
- Shijiazhuang Zhongnongtongchuang (ZNTC) Biotechnology Co., Ltd., Shijiazhuang 052463, China
| | - Bo Thomsen
- Department of Molecular Biology and Genetics, Aarhus University, 8000 Aarhus, Denmark;
| | - Hongding Gao
- Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark; (H.G.); (G.S.)
| | - Guosheng Su
- Center for Quantitative Genetics and Genomics, Aarhus University, 8830 Tjele, Denmark; (H.G.); (G.S.)
| | - Xiao Wang
- Konge Larsen ApS, 2800 Kongens Lyngby, Denmark
- Correspondence:
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