Affiliation:
1. Bioinformatics, Biomathematics & Biostatistics Laboratory (BIMS), Pasteur Institute of Tunis, University of Tunis El Manar, Tunis, Tunisia
2. Department of Chemistry, Quaid-i-Azam University, Islamabad 45320, Pakistan
Abstract
Introduction:
This work provides statistical analyses of bibliographic data on pharmacologically
evaluated flavonoids from different plant families. By opposition to structural elucidations
benefitting from full data aspects, pharmacological evaluations are concerned with partial investigations
resulting in sparse information.
Methods:
The limited data availability was overcome by extensive consideration of several small
sets of pharmacologically evaluated flavonoids in several plant taxa, alternatively to the traditional
intensive analysis of big dataset of a given metabolic family in a given plant taxon. Statistical analyses
were carried out using correspondence analysis, cluster analysis, box plots and fisher exact test
to highlight structure-structure, structure-plant and structure-activity trends.
Results:
Different aglycone types showed opposite trends between hydroxylation (flavonols, anthocyanidins,
flavanols), and methoxylation (isoflavones, isoflavanes, neoflavones). Moreover, different
carbons showed differential substitution levels in different aglycones: C3 in flavonols, C6, C8
in flavones, flavonols, C2’ in flavanones, C6’ in isoflavanes. Plant families were well differentiated
by different relative occurrences of aglycones: flavones in Lamiaceae, flavanones in Rutaceae,
neoflavones in Rubiaceae, flavonols in Asteraceae, isoflavones in Fabaceae. Relatively more hydroxylated
flavonoids occurred in Asteraceae, Lamiaceae and Fabaceae vs. more methoxylated
ones in Rutaceae and Rubiaceae. Concerning structure-activity trends, flavanols and isoflavones
were relatively more concerned with anti-diabetic and anti-inflammatory activities, respectively,
vs. balanced distribution of flavones. Anti-inflammatory activity showed significant association
with substitution position of same chemical groups (OH, OCH3), whereas anti-diabetic activity was
revealed to be mainly influenced by the type of chemical groups (positive effect of OH and glycosyls).
Conclusion:
These results call for regular updates and further investigations.
Publisher
Bentham Science Publishers Ltd.
Subject
Drug Discovery,General Medicine
Cited by
6 articles.
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