Prunella

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Cevdet Demir - One of the best experts on this subject based on the ideXlab platform.

  • Prunella vulgaris L. VE Prunella grandiflora L.’DEN SAFLAŞTIRILAN ROSMARİNİK ASİTİN FARKLI TÜMÖR HÜCRELERİ ÜZERİNDEKİ SİTOTOKSİK AKTİVİTESİ
    Trakya University Journal of Natural Sciences, 2017
    Co-Authors: Saliha Şahin, Cevdet Demir, Gulcin Tezcan, Berrin Tunca, Gulsah Cecener, Unal Egeli
    Abstract:

    Bu calismada rosmarinik asit bilesigi, Prunella grandiflora L. ve P. vulgaris L. turlerinden elde edilen etanol ekstraktlarindan saflastirilmistir. Saflastirma islemi sirasinda elde edilen metanol fraksiyonlarinin toplam fenol icerigi Folin-Ciocalteu yontemi ile belirlenmistir. Prunella L. turlerinden saflastirilan rosmarinik asitin farkli kanser hucreleri uzerinde WST-1 (Roche Applied Sciences, Mannheim, Almanya) yontemiyle sitotoksik doz calismalari yapilmistir. Buna gore pankreas (PANC-1), prostat (PC-3), kolon (HT-29) ve meme (MDA-MB 436) kanserleri ile GBM (T98G) hucre hatlari ve lenf dokularinda 10-60ng arasinda sitotoksik doz belirlenmistir. Sitotoksik doz belirleme calismalari icin 24 ve 48 saat inkubasyon sureleri calisilmistir. 48 saat inkubasyon suresi sonunda PC3 hucre hatti icin 50ng ve PANC-1, HT-29, MDA-MB 436 ve T98G hucre hatlari icin 60ng rosmarinik asit uygulamasinda antiproliferatif etki gozlenmistir. Saglikli hucrelerde rosmarinik asitin sitotoksik etkisi gozlenmemistir.

  • Prediction of total antioxidant activity of Prunella L. species by automatic partial least square regression applied to 2-way liquid chromatographic UV spectral images.
    Talanta, 2016
    Co-Authors: Ahmet Kemal Aloglu, Saliha Şahin, Peter De B. Harrington, Cevdet Demir
    Abstract:

    Abstract Four different data representations were evaluated for the determination of the total antioxidant activities of four different Prunella L. species, which are Prunella vulgaris, Prunella grandiflora, Prunella laciniata, and Prunella orientalis Bornm. Three different antioxidant assays, 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABST), 2,2-diphenyl-1-picrylhydrazyl (DPPH), and Folin–Ciocalteu (FC) reagent measured the total antioxidant activity and phenolic content of the four Prunella L. species that were extracted with 12 different solvent systems. The data set of 48 Prunella L. extracts was collected by high-performance liquid chromatography (HPLC) with ultraviolet diode array detection. The prediction of total antioxidant activity of Prunella L. species by super partial least square (sPLS) regression was obtained using four different representations of the data; the entire two-way chromatographic-spectral images, the average UV spectra, the total absorbance chromatogram, the lambda max (λmax) chromatogram. The coefficients of determination (R2) for the entire two-way chromatographic-spectral images (the ABST (0.943±0.008), the DPPH (0.91±0.01), and the FC (0.963±0.006)) indicated good accuracy for predicting antioxidant activities. The three different wet chemical assays are known to yield different values so it is advantageous to estimate the three separate values with a single LC measurement. The entire two-way chromatographic-spectral images have been used to the first time for calibration. Acidic hexane, as an extraction solvent, gave the least root mean square error of prediction (RMSEP) for the two-way chromatographic-spectral images, so it would be the best solvent for modeling antioxidant activities.

  • Isolation of Major Phenolic Compounds from the Extracts of Prunella L. Species Grown in Turkey and Their Antioxidant and Cytotoxic Activities
    Journal of Food Biochemistry, 2013
    Co-Authors: Saliha Şahin, Cevdet Demir, Ferda Ari, Engin Ulukaya
    Abstract:

    The major phenolics of Prunella L. species were isolated, and antioxidant activites were determined by 2,2-azino-di-(3-ethylbenzothialozine-sulphonic acid). The isolated compounds were identified as rutin, rosmarinic acid and caffeic acid by high performance liquid chromatography-diode array detection. The results show that the phenolic compounds were isolated from Prunella L. species with high content ranged from 74% (Prunella grandiflora L.) to 99% (Prunella orientalis Bornm.), and the major compound of rosmarinic acid was isolated above 90% in all species. Antigrowth effects of Prunella L. species were tested against human breast cancer cell lines, MCF-7 (estrogen receptor-positive) and MDAMB231 (estrogen receptor-negative) by the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5diphenyltetrazoliumbromide) and ATP (adenosine triphosphate) viability assays. To determine the mode of cell death, M30-antigen assay was performed in order to measure apoptosis. It was found that Prunella laciniata (L.) L., P. orientalis Bornm. and P. grandiflora L. species showed antigrowth effect on MCF-7 and MDA-MB-231 breast cancer cells, but apoptosis was not observed.

  • Prediction of Total Phenolic Content in Extracts of Prunella Species from HPLC Profiles by Multivariate Calibration
    ISRN Chromatography, 2012
    Co-Authors: Saliha Şahin, Esra Işık, Cevdet Demir
    Abstract:

    The multivariate calibration methods—principal component regression (PCR) and partial least squares (PLSs)—were employed for the prediction of total phenol contents of four Prunella species. High performance liquid chromatography (HPLC) and spectrophotometric approaches were used to determine the total phenol content of the Prunella samples. Several preprocessing techniques such as smoothing, normalization, and column centering were employed to extract the chemically relevant information from the data after alignment with correlation optimized warping (COW). The importance of the preprocessing was investigated by calculating the root mean square error (RMSE) for the calibration set of the total phenol content of Prunella samples. The models developed based on the preprocessed data were able to predict the total phenol content with a precision comparable to that of the reference of the Folin-Ciocalteu method. PLS model seems preferable, because of its predictive and describing abilities and good interpretability of the contribution of compounds to the total phenol content. Multivariate calibration methods were constructed to model the total phenol content of the Prunella samples from the HPLC profiles and indicate peaks responsible for the total phenol content successfully.

  • Determination of phenolic compounds in Prunella L. by liquid chromatography-diode array detection.
    Journal of pharmaceutical and biomedical analysis, 2011
    Co-Authors: Saliha Şahin, Cevdet Demir, Hulusi Malyer
    Abstract:

    Four species of Prunella L. (Prunella vulgaris L., Prunella laciniata L., Prunella grandiflora L. and Prunella orientalis Bornm.) belong to the family of Lamiaceae and representing popular Western and Chinese herbal medicine were examined for the content of phenolic compounds. Phenolic acids (rosmarinic acid, caffeic acid, ferulic acid, chlorogenic acid, protocatechuic acid), flavonoids (rutin, quercetin) in different quantitative proportions depending on extracts were determined by the rapid, selective and accurate method combining solvent/acid hydrolysis extraction and high performance liquid chromatography-diode array detection (HPLC-DAD). Water, methanol, butanol, acetonitrile, ethyl acetate, hexane and their acidic solutions were used to examine the efficiency of different solvent systems for the extraction of phenolic compounds. Acid hydrolysis extraction was established as the most suitable extraction method for phenolic compounds.

Saliha Şahin - One of the best experts on this subject based on the ideXlab platform.

  • Prunella vulgaris L. VE Prunella grandiflora L.’DEN SAFLAŞTIRILAN ROSMARİNİK ASİTİN FARKLI TÜMÖR HÜCRELERİ ÜZERİNDEKİ SİTOTOKSİK AKTİVİTESİ
    Trakya University Journal of Natural Sciences, 2017
    Co-Authors: Saliha Şahin, Cevdet Demir, Gulcin Tezcan, Berrin Tunca, Gulsah Cecener, Unal Egeli
    Abstract:

    Bu calismada rosmarinik asit bilesigi, Prunella grandiflora L. ve P. vulgaris L. turlerinden elde edilen etanol ekstraktlarindan saflastirilmistir. Saflastirma islemi sirasinda elde edilen metanol fraksiyonlarinin toplam fenol icerigi Folin-Ciocalteu yontemi ile belirlenmistir. Prunella L. turlerinden saflastirilan rosmarinik asitin farkli kanser hucreleri uzerinde WST-1 (Roche Applied Sciences, Mannheim, Almanya) yontemiyle sitotoksik doz calismalari yapilmistir. Buna gore pankreas (PANC-1), prostat (PC-3), kolon (HT-29) ve meme (MDA-MB 436) kanserleri ile GBM (T98G) hucre hatlari ve lenf dokularinda 10-60ng arasinda sitotoksik doz belirlenmistir. Sitotoksik doz belirleme calismalari icin 24 ve 48 saat inkubasyon sureleri calisilmistir. 48 saat inkubasyon suresi sonunda PC3 hucre hatti icin 50ng ve PANC-1, HT-29, MDA-MB 436 ve T98G hucre hatlari icin 60ng rosmarinik asit uygulamasinda antiproliferatif etki gozlenmistir. Saglikli hucrelerde rosmarinik asitin sitotoksik etkisi gozlenmemistir.

  • Prediction of total antioxidant activity of Prunella L. species by automatic partial least square regression applied to 2-way liquid chromatographic UV spectral images.
    Talanta, 2016
    Co-Authors: Ahmet Kemal Aloglu, Saliha Şahin, Peter De B. Harrington, Cevdet Demir
    Abstract:

    Abstract Four different data representations were evaluated for the determination of the total antioxidant activities of four different Prunella L. species, which are Prunella vulgaris, Prunella grandiflora, Prunella laciniata, and Prunella orientalis Bornm. Three different antioxidant assays, 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonic acid) (ABST), 2,2-diphenyl-1-picrylhydrazyl (DPPH), and Folin–Ciocalteu (FC) reagent measured the total antioxidant activity and phenolic content of the four Prunella L. species that were extracted with 12 different solvent systems. The data set of 48 Prunella L. extracts was collected by high-performance liquid chromatography (HPLC) with ultraviolet diode array detection. The prediction of total antioxidant activity of Prunella L. species by super partial least square (sPLS) regression was obtained using four different representations of the data; the entire two-way chromatographic-spectral images, the average UV spectra, the total absorbance chromatogram, the lambda max (λmax) chromatogram. The coefficients of determination (R2) for the entire two-way chromatographic-spectral images (the ABST (0.943±0.008), the DPPH (0.91±0.01), and the FC (0.963±0.006)) indicated good accuracy for predicting antioxidant activities. The three different wet chemical assays are known to yield different values so it is advantageous to estimate the three separate values with a single LC measurement. The entire two-way chromatographic-spectral images have been used to the first time for calibration. Acidic hexane, as an extraction solvent, gave the least root mean square error of prediction (RMSEP) for the two-way chromatographic-spectral images, so it would be the best solvent for modeling antioxidant activities.

  • Isolation of Major Phenolic Compounds from the Extracts of Prunella L. Species Grown in Turkey and Their Antioxidant and Cytotoxic Activities
    Journal of Food Biochemistry, 2013
    Co-Authors: Saliha Şahin, Cevdet Demir, Ferda Ari, Engin Ulukaya
    Abstract:

    The major phenolics of Prunella L. species were isolated, and antioxidant activites were determined by 2,2-azino-di-(3-ethylbenzothialozine-sulphonic acid). The isolated compounds were identified as rutin, rosmarinic acid and caffeic acid by high performance liquid chromatography-diode array detection. The results show that the phenolic compounds were isolated from Prunella L. species with high content ranged from 74% (Prunella grandiflora L.) to 99% (Prunella orientalis Bornm.), and the major compound of rosmarinic acid was isolated above 90% in all species. Antigrowth effects of Prunella L. species were tested against human breast cancer cell lines, MCF-7 (estrogen receptor-positive) and MDAMB231 (estrogen receptor-negative) by the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5diphenyltetrazoliumbromide) and ATP (adenosine triphosphate) viability assays. To determine the mode of cell death, M30-antigen assay was performed in order to measure apoptosis. It was found that Prunella laciniata (L.) L., P. orientalis Bornm. and P. grandiflora L. species showed antigrowth effect on MCF-7 and MDA-MB-231 breast cancer cells, but apoptosis was not observed.

  • Prediction of Total Phenolic Content in Extracts of Prunella Species from HPLC Profiles by Multivariate Calibration
    ISRN Chromatography, 2012
    Co-Authors: Saliha Şahin, Esra Işık, Cevdet Demir
    Abstract:

    The multivariate calibration methods—principal component regression (PCR) and partial least squares (PLSs)—were employed for the prediction of total phenol contents of four Prunella species. High performance liquid chromatography (HPLC) and spectrophotometric approaches were used to determine the total phenol content of the Prunella samples. Several preprocessing techniques such as smoothing, normalization, and column centering were employed to extract the chemically relevant information from the data after alignment with correlation optimized warping (COW). The importance of the preprocessing was investigated by calculating the root mean square error (RMSE) for the calibration set of the total phenol content of Prunella samples. The models developed based on the preprocessed data were able to predict the total phenol content with a precision comparable to that of the reference of the Folin-Ciocalteu method. PLS model seems preferable, because of its predictive and describing abilities and good interpretability of the contribution of compounds to the total phenol content. Multivariate calibration methods were constructed to model the total phenol content of the Prunella samples from the HPLC profiles and indicate peaks responsible for the total phenol content successfully.

  • Determination of phenolic compounds in Prunella L. by liquid chromatography-diode array detection.
    Journal of pharmaceutical and biomedical analysis, 2011
    Co-Authors: Saliha Şahin, Cevdet Demir, Hulusi Malyer
    Abstract:

    Four species of Prunella L. (Prunella vulgaris L., Prunella laciniata L., Prunella grandiflora L. and Prunella orientalis Bornm.) belong to the family of Lamiaceae and representing popular Western and Chinese herbal medicine were examined for the content of phenolic compounds. Phenolic acids (rosmarinic acid, caffeic acid, ferulic acid, chlorogenic acid, protocatechuic acid), flavonoids (rutin, quercetin) in different quantitative proportions depending on extracts were determined by the rapid, selective and accurate method combining solvent/acid hydrolysis extraction and high performance liquid chromatography-diode array detection (HPLC-DAD). Water, methanol, butanol, acetonitrile, ethyl acetate, hexane and their acidic solutions were used to examine the efficiency of different solvent systems for the extraction of phenolic compounds. Acid hydrolysis extraction was established as the most suitable extraction method for phenolic compounds.

Hulusi Malyer - One of the best experts on this subject based on the ideXlab platform.

  • Determination of phenolic compounds in Prunella L. by liquid chromatography-diode array detection.
    Journal of pharmaceutical and biomedical analysis, 2011
    Co-Authors: Saliha Şahin, Cevdet Demir, Hulusi Malyer
    Abstract:

    Four species of Prunella L. (Prunella vulgaris L., Prunella laciniata L., Prunella grandiflora L. and Prunella orientalis Bornm.) belong to the family of Lamiaceae and representing popular Western and Chinese herbal medicine were examined for the content of phenolic compounds. Phenolic acids (rosmarinic acid, caffeic acid, ferulic acid, chlorogenic acid, protocatechuic acid), flavonoids (rutin, quercetin) in different quantitative proportions depending on extracts were determined by the rapid, selective and accurate method combining solvent/acid hydrolysis extraction and high performance liquid chromatography-diode array detection (HPLC-DAD). Water, methanol, butanol, acetonitrile, ethyl acetate, hexane and their acidic solutions were used to examine the efficiency of different solvent systems for the extraction of phenolic compounds. Acid hydrolysis extraction was established as the most suitable extraction method for phenolic compounds.

  • Determination of total phenolic content of Prunella L. by immobilized enzyme bioreactor
    Analytical Methods, 2011
    Co-Authors: Saliha Şahin, Cevdet Demir, Hulusi Malyer
    Abstract:

    A new method for determination of total phenolic content of four Prunella L. species was developed by immobilizing horseradish peroxidase (HRP) on styrene-divinylbenzene-polygluteraldehyde (STY-DVB-PGA) polymer. The method is based on the spectrophotometric measurement of the final quinone-imine colored product, absorbing at 510 nm, by horseradish peroxidase oxidation in presence of hydrogen peroxide. The effects of solvents were investigated for the extraction of phenolic compounds in Prunella L. plants. HRP was covalently attached on the STY-DVB-PGA with 90% efficiency at optimum immobilization conditions. The total phenol contents ranged from 4 to 152 mg GAE per g of dried sample for pure solvents and ranged from 19 to 763 mg GAE per g of dried sample for acidic extracts using the immobilized enzymatic method. STY-DVB-PGA beads are a good potential support for the immobilization of HRP enzyme and can be used for determination of the total phenolic content of plants. In the analysis of four Prunella L. species, high correlations were obtained between enzymatic and Folin methods, supporting the validity of the enzymatic method proposed. The enzymatic (free/immobilized) methods are more specific and rapid than the Folin method. Acidic solvents are more effective than pure solvents for extraction of phenolic compounds in Prunella L. species.

Yin Feng - One of the best experts on this subject based on the ideXlab platform.

  • Traditional chinese medicine Prunella vulgaris can accelerate the apoptosis of human thyroid cancer cell line SW579 in vitro
    Journal of Modern Oncology, 2009
    Co-Authors: Yin Feng
    Abstract:

    Objective:To investigateif the traditional Chinese medicine Prunella vulgaris can accelerate the apoptosis of human thyroid cancer cell line SW579 in vitro.Methods: Human thyroid cancer cell line SW579 was incubated with different concentration of Prunella vulgaris for 48h,then cell survival rate was measured by MTT assay and cell morphology change was observed by phase contrast microscope.Apoptosis was detected by flow cytometry(Annexin V/PI staining) analysis and Hoechst 33258 staining.Results: Prunella vulgaris could inhibit the growth of SW579 to different degree.The IC50 values of Prunella vulgaris in SW579 cells was 65mg/ml.The number of apoptotic SW579 cells calculated with flow cytometry was accordant with the result got by Hoechst 33258 staining.Conclusion: Prunella vulgaris to induce the apoptosis of SW579 cells.

Duan-fang Liao - One of the best experts on this subject based on the ideXlab platform.

  • Comparative proteomic analysis of Prunella vulgaris L. spica ripening.
    Journal of proteomics, 2020
    Co-Authors: Zhi-min Zhang, Bo-hou Xia, Yan Lin, Jingchen Xie, Li-mei Lin, Duan-fang Liao
    Abstract:

    Abstract Prunella vulgaris L., better known as ‘self-heal’, has been extensively used in the traditional system of medicines. To reveal the regulatory mechanism of its development, TMT-based quantitative proteome analysis was performed in the Prunella vulgaris L. spica before and during ripening (Group A and Group B, respectively). This analysis resulted in the identification of 7655 proteins, of which 1910 showed differential abundance between the two groups. Pronounced changes in the proteomic profile included the following: 1) Stress-responsive proteins involved in protecting cells and promoting fruit ripening and seed development were highly abundant during ripening. 2) The degradation of chlorophyll, inhibition of chlorophyll biosynthesis and increased abundance of transketolase occurred simultaneously in the spica of Prunella vulgaris L., resulting in the spica changing color from green to brownish red. 3) The abundance of protein species related to phenylpropanoid biosynthesis mainly increased during ripening, while flavonoid and terpenoid backbone biosynthesis mostly occurred before ripening. Significance This study establishes a link between protein profiles and mature phenotypes, which will help to improve our understanding of the molecular mechanisms involved in the maturation of Prunella vulgaris L. at the proteome level and reveal the scientific connotation for the best time to harvest Prunella vulgaris L. This work provides a scientific basis for the production of high-quality medicinal Prunella vulgaris L., as well as a typical demonstration of molecular research used for the harvest period of traditional Chinese medicine. Biological significance This work provided a comprehensive overview on the functional protein profile changes of Prunella vulgaris L. spica at different growing stages, as well as the scientific rationale of Prunella vulgaris L. harvested in summer after brownish red, thus laid an intriguing stepping stone for elucidating the molecular mechanisms of quality development.

  • Phytochemistry and pharmacological activities of the genus Prunella.
    Food chemistry, 2016
    Co-Authors: Yubing Bai, Bo-hou Xia, Duan-fang Liao, Wen-jian Xie, Yamin Zhou, Jiachi Xie, Li-mei Lin
    Abstract:

    Prunella is a genus of perennial herbaceous plants in the Labiatae family. There are approximately 15 species worldwide, distributed widely in the temperate regions and tropical mountains of Europe and Asia. In the genus Prunella, P. vulgaris is the most studied, following a several thousand-year history as a traditional antipyretic and antidotal Chinese herb. Furthermore, since ancient times, P. vulgaris has been widely used as a cool tea ingredient and consumed as a vegetable. The genus Prunella contains triterpenoids and their saponins, phenolic acids, sterols and associated glycosides, flavonoids, organic acids, volatile oil and saccharides. Modern pharmacological studies have revealed that Prunella possess antiviral, antibacterial, anti-inflammatory, immunoregulatory, anti-oxidative, anti-tumor, antihypertensive and hypoglycemic functions. The active components related to these functions are mainly triterpenoids, phenolic acids, flavonoids and polysaccharides. This review mainly summarizes recent advances in traditional usage, chemical components and pharmacological functions.