Tags

Type your tag names separated by a space and hit enter

Potentially antidiabetic and antihypertensive compounds identified from Pistacia atlantica leaf extracts by LC fingerprinting.
J Pharm Biomed Anal. 2018 Feb 05; 149:547-556.JP

Abstract

The objective of this paper is to evaluate the variations in the ability of Pistacia atlantica leaves to inhibit enzymes linked to type 2 diabetes (α-amylase and α-glucosidase) and to hypertension (angiotensin converting enzyme-I (ACE-I)), depending on harvesting month, gender and growing region, as well as to identify the peaks in chromatographic fingerprints that potentially correspond to components with enzymatic inhibitory activities. In this study, LC fingerprints of P. atlantica leave extracts were developed. Peaks which were probably responsible for the anti-amylase, anti-glucosidase and anti-ACE-I activities were assigned. For the latter purpose, the relevant information was extracted, linking the chromatographic fingerprints with the activities using a linear multivariate calibration technique, i.e., Partial Least Squares (PLS) regression. Prior to the construction of the models, the fingerprints are aligned using a warping method, called Correlation Optimized Warping (COW). Besides COW, different other data pretreatment methods were applied and compared. Our findings revealed that the influence of the growing region and gender on the α-amylase, α-glucosidase and ACE-I inhibitory activities of P. atlantica leaves was less important than the harvest time. Thirteen common peaks were selected from the chromatograms and used as a dataset to model the biological activities. The peaks potentially responsible for the biological activity of the samples were indicated by studying the regression coefficients of the models. Seven peaks corresponding to possibly anti-amylase compounds were found, while 6 peaks were considered important for inhibiting the α-glucosidase activity. Furthermore, the regression coefficients of the hypertension model indicated eight peaks as being important for inhibiting the ACE-I activity. The contributions of individual phenolic compounds of P. atlantica leaves to the α-amylase, α-glucosidase and ACE-I inhibitory activities were also identified. This investigation showed that the extract of P. atlantica leaves provides a rational basis for the isolation and development of antidiabetic and antihypertensive agents.

Authors+Show Affiliations

Laboratory of Science Fundamental University Amar Telidji, BP37G Laghouat, Algeria; Department of Analytical Chemistry and Pharmaceutical Technology, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium.Laboratory of Science Fundamental University Amar Telidji, BP37G Laghouat, Algeria.Department of Analytical Chemistry and Pharmaceutical Technology, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium.Department of Analytical Chemistry and Pharmaceutical Technology, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium; Laboratory of Instrumental Analysis and Bioelectrochemistry, Université Libre de Bruxelles (ULB), Campus Plaine CP205/6, Boulevard du Triomphe, B-1050 Brussels, Belgium.Department of Toxicology, Dermato-Cosmetology and Pharmacognosy, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium.Department of Analytical Chemistry and Pharmaceutical Technology, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium.Department of Analytical Chemistry and Pharmaceutical Technology, Vrije Universiteit Brussel (VUB), Laarbeeklaan 103, B-1090 Brussels, Belgium. Electronic address: yvanvdh@vub.ac.be.

Pub Type(s)

Journal Article

Language

eng

PubMed ID

29190580

Citation

Ahmed, Ziyad Ben, et al. "Potentially Antidiabetic and Antihypertensive Compounds Identified From Pistacia Atlantica Leaf Extracts By LC Fingerprinting." Journal of Pharmaceutical and Biomedical Analysis, vol. 149, 2018, pp. 547-556.
Ahmed ZB, Yousfi M, Viaene J, et al. Potentially antidiabetic and antihypertensive compounds identified from Pistacia atlantica leaf extracts by LC fingerprinting. J Pharm Biomed Anal. 2018;149:547-556.
Ahmed, Z. B., Yousfi, M., Viaene, J., Dejaegher, B., Demeyer, K., Mangelings, D., & Vander Heyden, Y. (2018). Potentially antidiabetic and antihypertensive compounds identified from Pistacia atlantica leaf extracts by LC fingerprinting. Journal of Pharmaceutical and Biomedical Analysis, 149, 547-556. https://doi.org/10.1016/j.jpba.2017.11.049
Ahmed ZB, et al. Potentially Antidiabetic and Antihypertensive Compounds Identified From Pistacia Atlantica Leaf Extracts By LC Fingerprinting. J Pharm Biomed Anal. 2018 Feb 5;149:547-556. PubMed PMID: 29190580.
* Article titles in AMA citation format should be in sentence-case
TY - JOUR T1 - Potentially antidiabetic and antihypertensive compounds identified from Pistacia atlantica leaf extracts by LC fingerprinting. AU - Ahmed,Ziyad Ben, AU - Yousfi,Mohamed, AU - Viaene,Johan, AU - Dejaegher,Bieke, AU - Demeyer,Kristiaan, AU - Mangelings,Debby, AU - Vander Heyden,Yvan, Y1 - 2017/11/24/ PY - 2017/09/07/received PY - 2017/11/19/revised PY - 2017/11/20/accepted PY - 2017/12/1/pubmed PY - 2018/8/14/medline PY - 2017/12/1/entrez KW - Angiotensin I-converting enzyme KW - Chromatographic fingerprints KW - Partial least square regression KW - Pistacia atlantica KW - α-Amylase KW - α-Glucosidase SP - 547 EP - 556 JF - Journal of pharmaceutical and biomedical analysis JO - J Pharm Biomed Anal VL - 149 N2 - The objective of this paper is to evaluate the variations in the ability of Pistacia atlantica leaves to inhibit enzymes linked to type 2 diabetes (α-amylase and α-glucosidase) and to hypertension (angiotensin converting enzyme-I (ACE-I)), depending on harvesting month, gender and growing region, as well as to identify the peaks in chromatographic fingerprints that potentially correspond to components with enzymatic inhibitory activities. In this study, LC fingerprints of P. atlantica leave extracts were developed. Peaks which were probably responsible for the anti-amylase, anti-glucosidase and anti-ACE-I activities were assigned. For the latter purpose, the relevant information was extracted, linking the chromatographic fingerprints with the activities using a linear multivariate calibration technique, i.e., Partial Least Squares (PLS) regression. Prior to the construction of the models, the fingerprints are aligned using a warping method, called Correlation Optimized Warping (COW). Besides COW, different other data pretreatment methods were applied and compared. Our findings revealed that the influence of the growing region and gender on the α-amylase, α-glucosidase and ACE-I inhibitory activities of P. atlantica leaves was less important than the harvest time. Thirteen common peaks were selected from the chromatograms and used as a dataset to model the biological activities. The peaks potentially responsible for the biological activity of the samples were indicated by studying the regression coefficients of the models. Seven peaks corresponding to possibly anti-amylase compounds were found, while 6 peaks were considered important for inhibiting the α-glucosidase activity. Furthermore, the regression coefficients of the hypertension model indicated eight peaks as being important for inhibiting the ACE-I activity. The contributions of individual phenolic compounds of P. atlantica leaves to the α-amylase, α-glucosidase and ACE-I inhibitory activities were also identified. This investigation showed that the extract of P. atlantica leaves provides a rational basis for the isolation and development of antidiabetic and antihypertensive agents. SN - 1873-264X UR - https://www.unboundmedicine.com/medline/citation/29190580/Potentially_antidiabetic_and_antihypertensive_compounds_identified_from_Pistacia_atlantica_leaf_extracts_by_LC_fingerprinting_ L2 - https://linkinghub.elsevier.com/retrieve/pii/S0731-7085(17)32266-5 DB - PRIME DP - Unbound Medicine ER -