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UHPLC-QTOF-MS phytochemical profiling and in vitro biological properties of Rhamnus petiolaris (Rhamnaceae)

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Contents lists available atScienceDirect

Industrial Crops & Products

journal homepage:www.elsevier.com/locate/indcrop

UHPLC-QTOF-MS phytochemical pro

filing and in vitro biological properties

of Rhamnus petiolaris (Rhamnaceae)

Gabriele Rocchetti

a

, Maria Begoña Miras-Moreno

a

, Gokhan Zengin

b,

, Ismail Senkardes

c

,

Nabeelah Bibi Sadeer

d

, Mohamad Fawzi Mahomoodally

d

, Luigi Lucini

a,

aDepartment for Sustainable Food Process, Università Cattolica del Sacro Cuore, Via Emilia Parmense 84, 29122 Piacenza, Italy bDepartment of Biology, Faculty of Science, Selcuk University, Campus, Konya, Turkey

cDepartment of Pharmaceutical Botany, Faculty of Pharmacy, Marmara University, Istanbul, Turkey dDepartment of Health Sciences, Faculty of Science, University of Mauritius, 230 Réduit, Mauritius

A R T I C L E I N F O Keywords: α-glucosidase Tyrosinase Bioactive compounds Metabolomics

Orthogonal projection to latent structures

A B S T R A C T

The genus Rhamnus has a great attention as source of bioactive compounds. So, this work aimed to investigate phytochemical profile and biological activity of water and methanolic extracts of different parts of Rhamnus petiolaris Boiss. & Balansa, namely twigs, leaves, mature and unmature fruits. The in vitro antioxidant activity,

enzyme inhibitory properties, along with their polyphenol and anthraquinone profiles were determined by

untargeted metabolomics. Results showed that methanolic and aqueous unmature fruit extracts were the most

effective 2,2-diphenyl-1-picrylhydrazyl (DPPH) and 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulphonic acid)

(ABTS) scavenger (470.96 mg trolox equivalent (TE)/g and 394.96 mg TE/g, respectively). The aqueous un-mature fruit extract displayed the most potent cupric and ferric reducing power and showed the highest total phenolic contents (TPC) (137.17 mg gallic acid equivalent (GAE)/g). The methanolic twig extract showed the

highest enzymatic inhibitory property against ofα-glucosidase, tyrosinase, acetylcholinesterase (AChE), and

butyrylcholinesterase (BChE). On the basis of the correlation coefficients calculated separately for all

experi-mental parameter pairs,flavonols and anthocyanins highly correlated with DPPH, whereas tyrosols correlated

with BChE activity. Multivariate statistics following untargeted metabolomics allowed to describe the differences

in polyphenols and anthraquinones, as affected by the extraction solvent used. Mature and unmature fruits were

substantially comparable and were affected in a similar way by the extraction conditions, while different profiles

were recorded for Rhamnus leaves and twigs. Thesefindings indicate that the recovery efficiencies of specific

subclasses of compounds (above all when consideringflavonoids, phenolic acids and anthraquinones) as a

function of the matrix and extraction chosen, significantly affect the phytochemical profile and biological

ac-tivity of Rhamnus.

1. Introduction

For centuries, human life has been revolving around plants in the attempt to maintain good health and manage common ailments (Petrovska, 2012). Although the usage of plants was based solely on the intuitive nature of humans, due to the absence of proper techniques to confirm plants’ curative properties, humankind advancing con-temporary science acknowledged the usage of various medicinal plants and included them in modern pharmacotherapy (Petrovska, 2012). As an ample evidence showed that 70–80% of the world’s population still depends on herbal medicine as their primary health support (Yoo et al., 2018). Recently, Allkin Bob from the Royal Botanic Gardens, Kew,

recorded around 28,000 plant species as medicinal plants (Allkin, 2017). Medicinal plants quickly attracted the attention of scientists since the eureka moment which came along the discovery of taxol, the blockbuster anti-cancer drug from Pacific yew tree, by Stierle et al., in 1993 clearly gratifying the curative nature of plants (Stierle et al., 1993). Since then, the screening of medicinal plants quickly mush-roomed and the inclusion of health-promoting plant extracts in nutri-tion gained popularity.

In line with current global trend, this study aimed to study is Rhamnus petiolaris Boiss. & Balansa (Family: Rhamnaceae). The genus Rhamnus is a major group in Angiosperms, consisting of 113 accepted species names, 75 synonyms and 286 unassessed summing up to 474

https://doi.org/10.1016/j.indcrop.2019.111856

Received 17 June 2019; Received in revised form 23 August 2019; Accepted 8 October 2019

Corresponding authors.

E-mail addresses:biyologzengin@yahoo.com(G. Zengin),luigi.lucini@unicatt.it(L. Lucini).

Available online 18 October 2019

0926-6690/ © 2019 Elsevier B.V. All rights reserved.

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scientific species names (The Plant List, 2013). The word Rhamnus is known under the term rhamnos in both Greek and Latin languages. From the Greek definition, rhamnos means ‘a kind of prickly plant or spiny shrub’ while the Latin rhamnos means ‘buckthorn or Christ’s thorn’ (Quattrocchi, 2016). It is a global plant since it is distributed in East Asia, North and South America and in the subtropical regions of Africa (Akkemik et al., 2018;Flora of China, 2007). Morphologically, Rhamnus species are shrubs with undivided leaf blades. Most species have yel-lowish greenflowers with four to five ovate-triangular sepals. The plant possessed a special feature which characterized itself as a natural dye-yielding plant. The berry-like fruits that they produced contain yellow dyes which are usually used as printing ink and in medical lore (Akkemik et al., 2018; Dogan et al., 2003; Flora of China, 2007; Kayabasi and Arlı, 2001). Interestingly, literature showed that dye-yielding plants possess significant antimicrobial properties. A previous study conducted by Comlekcioglu et al. (2017)on the aqueous fruit extract of R. petiolaris showed good antibacterial activities. R. petiolaris, locally known as Cehri in Turkey, is an evergreen shrub or small-sized plant endemic to Turkey (Ozturk et al., 2013). From this point, the member of the genus Rhamnus has great potential as industrial plants in pharmaceutical and medicinal applications.

As in the case of many other medicinal plants, different parts of R. petiolaris are used in folklore medicine. For instance, the fruit possess laxative property similarly to other Rhamnus species (Ozturk and Altay, 2017;Ozturk et al., 2013). Phytochemical screening of R. petiolaris is rather scarce and till date only few studies have been reported on the compounds present. In 1974, Wagner et al (Wagner et al., 1974), iso-lated two flavonol-3-O-triosides identified as rhamnazin-3-O-[α-L -rhamnopyranosyl (1→ 4)-α-L-rhamnopyranosyl (1→ 6)]-β-D -galacto-pyranoside and rhamnetin-3-O-α-L-rhamnopyranosyl (1 → 2)-α-L -rhamnopyranosyl (1→ 6)]-β-D-galactopyranoside from the fruit. Later in 1994 Ozipek et al (Ozipek et al., 1994)., isolated a new acylated flavonol glycoside from the berries. Out of the 113 accepted members of the Rhamnus genus, R. petiolaris is an underexplored plant and is poorly understood.

Despite a long story of use, to the best of our knowledge no studies have been reported on the comprehensive phytochemical and biological profile of this plant. In fact, this species lacks considerable scientific attention in terms of its pharmacological properties and phytochemical profiles. There has been no attempt to evaluate the inhibitory activity of various extracts of R. petiolaris on key enzymes linked to human ail-ments, namely diabetes and Alzheimer’s disease. Consequently, to shed more light on this plant, the present study provides a deeper and broader understanding on antioxidant capacity and possible inhibitory action against α-amylase, α-glucosidase, tyrosinase, acet-ylcholinesterase (AChE) and butyracet-ylcholinesterase (BChE). Because the choice of extraction solvents is one of most important steps in the phytochemical studies, we selected methanol and water as solvents in the study. Methanol is one of most common solvents in phytochemical literatures (Alam et al., 2013;Belwal et al., 2018) and water was se-lected to provide traditional way (for example tea). Besides, the de-velopment of high-resolution platforms for the analysis of bioactive compounds is allowing to gain a clear picture of the phytochemical composition of a plant of interest. In this work, the phytochemical profile of R. petiolaris was investigated using a metabolomics-based approach. Indeed, metabolic profiling or fingerprinting, using com-prehensive databases for the annotation steps can improve the under-stating of the wide phytochemical composition of plants and foods. Taken together, obtained results could provide a significant starting point on R. petiolaris to evaluate as an industrial plant in several ap-plications.

2. Materials and methods 2.1. Plant material

The studied plant materials were collected from Nevsehir (central Anatolia region, Turkey) in July-August 2018 (20 July 2018 for twigs, leaves and unmature fruit samples; 20 August 2018 for mature fruits). The scientific identification was performed by Dr. Ismail Senkardes (botanist at Marmara University, Department of Pharmaceutical Botany, Istanbul, Turkey). Then, voucher specimen was deposited in the herbarium of Marmara University (voucher number: MARE 20217). The plant parts (twigs, leaves, unmature and mature fruits) were se-parated and kept for 10 days at room temperature for drying. Then, these samples were powdered with a laboratory mill.

2.2. Extraction methods

For methanol extracts, the samples were stirred overnight (24 h) at room temperature (5 g in 100 ml solvent). Afterfiltration, the extracts were concentrated using a rotary evaporator under vacuum at 40 °C. For water extracts, the infusions were prepared (5 g of samples were kept in 100 ml of boiled water for 20 min) and then were lyophilized. All extracts were stored at +4 °C until analyses.

2.3. Screening of bioactive compounds

The total phenolic andflavonoid contents were determined using the common assays; Folin-Ciocalteu and AlCl3 assays, respectively

(Uysal et al., 2017). The assays results were spectrophotmetrically re-corded (765 nm for total phenolic and 415 nm for total flavonoid). Results were expressed as gallic acid (mg GAEs/g extract) and rutin equivalents (mg REs/g extract) for respective assays.

Afterwards, the untargeted phenolic and anthraquinone profile of the different Rhamnus extracts was investigated by means of ultra-high-pressure liquid chromatograph coupled to quadrupole-time-of-flight mass spectrometer (both from Agilent Technologies). The experimental conditions for the analysis of plant extracts by means of untargeted metabolomics were optimized in previously works (Rocchetti et al., 2018,2019b). Briefly, the mass spectrometer was run in the positive scan mode (50–1100 m/z) and chromatographic separation was achieved on an Agilent Zorbax eclipse plus C18 column (50 × 2.1 mm i.d., 1.8μm dp). The LC mobile phase A consisted of water while mobile phase B was methanol (LCMS grade, VWR International Ltd). An in-house custom database of anthraquinones coupled to the comprehen-sive phenolics database exported from Phenol-Explorer ( http://phenol-explorer.eu/) was used for identification; with this purpose, the whole isotopic pattern (monoisotopic accurate mass, isotopic ratio and iso-topic accurate spacing) was considered. The approach used allowed great confidence in the annotation. In particular, the compounds were identified according to a Level 2 of identification (i.e., putatively an-notated compounds). The post-acquisition datafiltering (Agilent Pro-finder B.06) retained only those compounds putatively annotated within 100% of replications in at least one condition. Finally, in order to provide more quantitative information, polyphenols werefirstly as-cribed into classes and subclasses and then quantified, as reported in a previous work (Rocchetti et al., 2019b). The phenolic standards used were: cyanidin, catechin, luteolin, ferulic acid, sesamin, 5-pentade-cylresorcinol, resveratrol and tyrosol. Additionally, a calibration curve of aloin (Sigma grade, Sigma-Aldrich, S. Louis, MO, USA) was built in order to provide a total anthraquinone content for the different Rhamnus organs. Results were finally expressed as mg phenolic equivalents/g dry extract.

2.4. Determination of in vitro antioxidant and enzyme inhibitory effects The metal chelating, phosphomolybdenum, ferric reducing

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antioxidant power (FRAP), cupric reducing antioxidant capacity (CUPRAC), ABTS, and DPPH activities of the extracts were assessed following the methods described byUysal et al. (2017). The antioxidant activities were reported as trolox equivalents (mg TE/g extract), whereas EDTA (mg EDTAE/g extract) was used for metal chelating assay. The possible inhibitory effects of the extracts against cholines-terase (by Ellman’s method), tyrosinase, α-amylase and α-glucosidase were evaluated using standard in vitro spectrophotometric bio-assays (Uysal et al., 2017). The enzyme inhibitory actions of extracts were assessed as equivalents of kojic acid (KAE) for tyrosinase, galantamine (GALAE) for acetyl and butyryl cholinesterase, and acarbose (ACAE) for α-amylase and α-glucosidase.

2.5. Statistical analysis

A one-way analysis of the variance (ANOVA) was done using the software PASW Statistics 25.0 (SPSS Inc.) to investigate significant differences (p < 0.05, Duncan’s post hoc test) for each assay carried out. Besides, Pearson’s correlation coefficients (p = 0.01, two-tailed) were also calculated in PASW Statistics 25.0. Thereafter the raw me-tabolomic dataset exported from the Mass Profiler Professional B.12.06 (Agilent technologies) was elaborated into SIMCA 13 software (Umetrics, Malmo, Sweden). A supervised orthogonal projection to la-tent structures discriminant analysis (OPLS-DA) model was created to separate the variation between groups into predictive and orthogonal components. Hotelling’s T2 and model cross-validation were then car-ried out, using CV-ANOVA (p < 0.01) and inspecting the results of permutation testing to exclude overfitting. The goodness-of-fit (R2Y)

and the goodness-of-prediction (Q2Y) were also produced. Finally, VIP

selection method was used to identify the most discriminating pounds according to the extraction techniques. In particular, the com-pounds possessing a VIP score > 1 were retained and further elabo-rated.

3. Results and discussion

3.1. Untargeted screening of polyphenols and anthraquinones in different Rhamnus organs

The total bioactive components of the solvent extracts of R. petiolaris werefirstly investigated spectrophotometrically in terms of total phe-nolic content (TPC) and totalflavonoid content (TFC) as presented in supplementary material. As highlighted by numerous researchers, fruits are good carriers of bioactive phytochemicals especially phenolic component which act as a protective barrier against a multitude of diseases (Carocho and Ferreira, 2013;Kähkönen et al., 1999;Martins et al., 2016). Indeed, results in this study corroborated with this fact showing that both methanolic and aqueous extracts of mature and unmature fruits possessed the highest TPC and TFC compared with other plant part extracts studied. For instance, methanolic and aqueous immature fruit extract showed the highest TPC value of 109.99 and 137.17 mg GAE/g respectively in contrast the methanolic and aqueous leaf extracts possessing the lowest TPC with 46.07 and 41.82 mg GAE/g respectively. On the other hand,flavonoids were abundantly present in mature fruits in contrast to immature fruits. The highest TFC were re-corded in both methanolic and aqueous mature fruit extracts with 161.40 and 157.97 mg GAE/g respectively while the lowest TFC was observed in the aqueous twig extract (36.37 mg GAE/g).

Afterwards, the untargeted phenolic and anthraquinone profiles of the different Rhamnus extracts was investigated by means of a meta-bolomic approach, based on UHPLC-ESI-QTOF mass spectrometry. The experimental plan designed allowed to putatively annotate 237 com-pounds, being characterized by 211 polyphenols and 26 anthraqui-nones. It is important to underline that an overall identification score higher than 75% was considered, in order to increase the confidence in annotation. With respect to the phenolic composition, the most

abundant classes equivalents of compounds were phenolic acids (45 putatively annotated compounds), followed byflavones and tyrosols (43 compounds), flavonols (30 compounds), anthocyanins (28 com-pounds), lignans (12 comcom-pounds), alkylphenols and stilbenes (i.e., 7 and 3 compounds, respectively). For a more detailed description, polyphenols and anthraquinones identified are presented into supple-mentary material, together with annotation scores and composite mass spectra. Independently from the extraction solvent, some polyphenols were particularly abundant and characteristics of each organs (sup-plementary material). Rhamnus leaves were abundant in isomers of diferuloylquinic acid (phenolic acids), cyclolariciresinol (lignans), gly-cosidic forms of kaempferol, quercetin and patuletin (flavonols), iso-flavonoids (such as glycitin and 6″-O-malonylglycitin) and cyanidin 3-O-glucosyl-rutinoside. The unmature fruits were particularly abundant in glycosidic forms of anthocyanins,flavones (such as apigenin and nepetin) andflavonols (such as isorhamnetin 3-O-galactoside and iso-rhamnetin 7-O-rhamnoside). The twigs were characterized by high values of anthocyanins (i.e., cyanidin glucoside and cyanidin 3-O-rutinoside),flavone equivalents (such as chrysoeriol 7-O-apiosylgluco-side and 6-hydroxyluteolin 7-O-rhamno7-O-apiosylgluco-side),flavonols (namely glyco-sidic forms of kaempferol and quercetin) and furanocoumarins (in particular isopimpinellin and bergapten), while caffeic acid 4-O-glu-coside was the most represented phenolic acid.

Interestingly, mature fruits showed the highest abundances when compared with the other Rhamnus parts, being particularly rich in cy-anidin 3-O-glucosyl-rutinoside, delphinidin 3-O-rutinoside and pe-largonidin 3-O-(6′′-succinyl-glucoside). Furthermore, when compared with the other extracts, mature fruits were the richest source of flavo-nols (above all glycosidic forms of quercetin and kaempferol), while the most abundant hydroxycinnamic acid was found to be 1,2-disin-apoylgentiobiose. One of the exclusive phenolic compounds char-acterizing R. petiolaris is rhamnazin (Wagner et al., 1974); it is a di-methoxyflavone that is quercetin in which the hydroxy groups at the 3′ and 7 positions have been replaced by methoxy groups. In our experi-mental conditions, we revealed a high abundance of this compound above all in water extracts of mature fruits (supplementary material). The untargeted metabolomics-based approach allowed to identify a wider set of compounds when compared with targeted approaches, thus demonstrating that this plant was particularly rich inflavonoids (i.e., anthocyanins and flavonols). Afterwards, by exploiting a semi-quantitative analysis from the UHPLC-QTOF data, all phenolic com-pounds identified were classified and expressed according to a standard per class as mg/g dry extract. The results of the semi-quantitative analysis werefinally reported inTable 1. According to this analysis, an increase in anthocyanin content (on average +30%) was observed when moving from unmature to the mature fruits (Table 1). In fact, mature fruit (both methanol and water extracts) presented the highest values of these pigments (i.e., 80.58 and 69.34 mg/g, respectively), according to its black colour. Similar results are also reported in other fruit species. For instance, significantly higher anthocyanin contents were recently reported in different wild mature fruits, compared with unmature fruits (Belwal et al., 2019). The increasing concentration of anthocyanins in mature fruits might be due to the up regulation of phenylpropanoid pathway and chalcone synthase enzyme, which are involved in anthocyanin biosynthesis. Therefore, the increase of an-thocyanin content promoted both colour and health-promoting prop-erties of these fruits (Belwal et al., 2019). In regard to the other phe-nolic subclasses, the most abundant values (in terms of mg/g dry extract) were phenolic acid followed byflavonol/flavanol equivalents. It was interesting to notice that both methanol and water extracts of mature fruits presented again the highest values (i.e., 28.42 and 22.10 mg/g, respectively) when compared with the R. petiolaris parts. Overall, using methanol as extraction solvent determined a higher ef-ficiency in the recovery of phenolic acids, although the highest value (p < 0.05) for this class of compounds was recorded in aqueous ex-tracts of Rhamnus leaves (i.e., 37.02 mg/g).

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Regarding the anthraquinone profile, the UHPLC-QTOF untargeted approach allowed us to identify also the most common anthraquinones characterizing Rhamnus species, including emodin (C15H10O5),

phys-cion (C16H12O5) and chrysophanol (C15H10O4) (Duval et al., 2016).

Anthraquinone derivatives are the largest group of natural quinones, constituting the largest group of natural pigments with about 700 compounds described. In this regard, the most frequently reported compounds are emodin, physcion, catenarin and rhein. Anthraquinones can be found in all parts of the plants, such as roots, rhizomes, fruits, flowers and leaves (Duval et al., 2016). In order to provide a total an-thraquinone content in the different Rhamnus extracts, all the anthra-quinones annotated were quantified according to a standard of aloin and then expressed as total content. The values obtained (mg aloin/g dry matter) are reported inTable 2. As can be observed, both leaf ex-tracts (i.e. methanol and water) were characterized by the highest content (p < 0.05) of total anthraquinones (on average 1.16 mg/g). For the other organs, values ranged from 0.09 (recorded in twigs ex-tracted in methanol) up to 0.62 mg/g (when considering mature fruits extracted in water). Our quantitative results were difficult to compare with literature, considering the lack of works on this Rhamnus species. However, the anthraquinone contents detected were generally com-parable with others from some previous works (Locatelli et al., 2011), analyzing barks of two other Rhamnus species, such as R. catharticus and R. orbiculatus. In fact, these authors reported a total content of 1.64 and 0.75 mg/g, when considering R. catharticus and R. orbiculatus, respec-tively. Interestingly, the most represented anthraquinone derivative in R. catharticus and R. orbiculatus was found to be physcion (i.e. 67.8% and 81.3%, respectively).

After the initial screening of polyphenols and anthraquinones in the different Rhamnus extracts by UHPLC-QTOF, multivariate statistics was used in order to group and then discriminate samples according to their phytochemical profiles. In this regard, the supervised OPLS dis-criminant analysis was found to be particularly effective for this pur-pose. The OPLS-DA score scatter plot obtained is reported inFig. 1; as can be observed, mature and unmature fruits possessed a similar phy-tochemical profile when compared with twigs and leaves that were distributed differently in the hyperspace along the two latent vectors (i.e. t1 and t2). Therefore, this statistical approach confirmed that the organs analysed were characterized by distinctive phenolic and an-thraquinone signatures. The OPLS model parameters were found to be excellent, recording high R2Y and Q2Y values, being 0.99 and 0.92,

respectively. Besides, no outliers were outlined by Hotelling’s T2 range (supplementary material), with more than acceptable cross-validation parameters, as resulted by CV-ANOVA (p < 0.001) and permutation testing (N = 100). In order to identify the most discriminant com-pounds contributing to the differences outlined in the OPLS, the vari-able selection method VIP (varivari-able importance in projection) was used. The polyphenols and anthraquinones allowing to discriminate the dif-ferent organs are reported in supplementary material. Overall, 114

Table 1 Extraction yields (%) and quanti fi cation per classes of phenolics identi fi ed from UHPLC-ESI-QTOF-MS in the di ff erent parts of the plant (i.e., twigs, mature fruits, unmature fruits and leaves) and considering the two di ff erent extraction solvents (methanol and water) * . Solvent Parts Extraction Yield (%) Anthocyanins Flavones Flavonols Tyrosols Lignans Alkylphenols Phenolic acids Stilbenes MeOH Twigs 9.62 37.01 ± 7.77 a 3.49 ± 0.88 c 12.05 ± 0.33 ab 22.89 ± 0.78 c 4.05 ± 0.21 c 0.76 ± 0.03 d 30.43 ± 5.53 bc 0.01 ± 0.00 a Unmature fruits 38.86 62.52 ± 8.60 bc 1.75 ± 0.17 a 11.62 ± 8.58 ab 10.17 ± 4.45 a 1.85 ± 0.35 a 0.43 ± 0.11 ab 27.23 ± 7.54 bc 0.01 ± 0.00 a Mature fruits 59.37 80.58 ± 15.45 c 2.56 ± 0.29 b 28.42 ± 5.86 d 8.52 ± 1.60 a 2.42 ± 0.45 ab 0.46 ± 0.12 bc 32.90 ± 12.59 bc 0.02 ± 0.00 ab Leaves 15.85 35.09 ± 5.00 a 2.20 ± 0.33 ab 10.46 ± 1.08 a 14.57 ± 1.65 b 3.58 ± 0.45 c 0.29 ± 0.11 a 28.67 ± 6.42 bc 0.70 ± 0.01 e Water Twigs 13.41 45.29 ± 2.25 ab 3.49 ± 0.24 c 6.67 ± 0.31 a 17.09 ± 4.18 b 4.08 ± 0.33 c 0.41 ± 0.06 ab 13.18 ± 1.55 a 0.06 ± 0.00 c Unmature fruits 31.02 40.22 ± 4.98 a 1.63 ± 0.21 a 17.91 ± 1.50 bc 6.61 ± 0.79a 1.80 ± 0.16 a 0.42 ± 0.06 ab 23.65 ± 0.58 ab 0.03 ± 0.00 b Mature fruits 44.16 69.34 ± 27.47 c 2.52 ± 0.91 b 22.10 ± 2.80 cd 6.06 ± 0.21 a 2.36 ± 0.33 ab 0.37 ± 0.06 ab 22.78 ± 4.16 ab 0.08 ± 0.02 c Leaves 32.27 24.67 ± 2.65 a 1.53 ± 0.19 a 4.99 ± 1.60 a 17.66 ± 1.37 b 2.74 ± 0.74 b 0.61 ± 0.06 c 37.02 ± 1.14 c 0.67 ± 0.00 d * Results are expresses as mean values (mg/g) ± standard deviation (n = 3). Superscript letters within each column indicate homogeneous sub-classes a s resulted from ANOVA (p < 0.01; Duncan ’s post-hoc test). Table 2

Total anthraquinone content of the different Rhamnus organs*.

Solvent Parts Total anthraquinone content (mg/g)

MeOH Twigs 0.09 ± 0.01a

Unmature fruits 0.14 ± 0.01ab

Mature fruits 0.22 ± 0.01bc

Leaves 1.18 ± 0.13f

Water Twigs 0.17 ± 0.03abc

Unmature fruits 0.28 ± 0.03c

Mature fruits 0.62 ± 0.01d

Leaves 1.13 ± 0.10e

* Results are expressed as mean value (mg aloin/g dry matter) ± standard deviation (n = 3). Superscript letters within each column indicate homo-geneous sub-classes as resulted from ANOVA (p < 0.01; Duncan’s post-hoc test).

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compounds possessed a VIP score higher than 1 (supplementary ma-terial), with the following distribution: 51 flavonoids, 20 phenolic acids, 20 lower-molecular-weight compounds (such as tyrosols), 18 anthraquinones, 4 lignans and 2 stilbenes. Looking to the markers outlined by VIP, 3 compounds were characterized by the highest scores, being hydroxycaffeic acid (1.58), quercetin 3-O-rutinoside (1.45) and delphinidin 3-O-rutinoside (1.44). Among the VIP markers, glycosidic forms of flavonols (i.e. quercetin), flavones and anthocyanins were found as important into the OPLS model. Interestingly, both physcion and emodin (two of the most important Rhamnus anthraquinones; Moreira et al., 2018) were included into the VIP list, recording a VIP score of 1.04 and 1.19, respectively. These latter compounds are par-ticularly studied for their bioactive properties. In this regard, physcion is a dihydroxyanthraquinone that derives from a 2-methylan-thraquinone that is widely isolated and characterized from both ter-restrial and marine sources. Physcion has a role as an apoptosis inducer and it is characterized by several protective actions, such as anti-neoplastic, hepatoprotective anti-inflammatory, antibacterial, and an-tifungal (Moreira et al., 2018). Regarding emodin, it has been described as a purgative anthraquinone found in several plants, especially R. frangula and R. sphaerosperma (Moreira et al., 2018).

3.2. Effect of the extraction solvents on the phytochemical profiles In order to compare the different extractions tested, using methanol and water extraction solvents, multivariate statistics was applied to the metabolomics-based data. Multivariate analysis following metabolomic workflows is usually performed by using unsupervised (such as hier-archical clustering) and supervised statistical tools (such as OPLS dis-criminant analysis). Generally, the use of class membership criteria characterizing supervised methods allows a better separation between classes into the score plot space. Furthermore, the OPLS-DA is also able to effectively separate Y-predictive variation from Y-uncorrelated var-iation in X (data matrix).

Therefore, an OPLS-DA score plot was built considering each dif-ferent extraction condition, andfinally provided inFig. 2. In our ex-perimental conditions, a complete separation between methanolic and water extracts was achieved, with clear differences related to the plant material tested. Notably, the discriminant model indicators were found to be excellent, being R2Y (the goodness-of-fit) = 0.99 and Q2Y

(goodness-of-prediction) = 0.89, with more than adequate

cross-validation parameters (supplementary material), thus confirming the robustness of the OPLS model based on both phenolic and anthraqui-none profiles for discriminating the different extraction methods. Overall, according to our data on the polyphenol composition (Table 1), methanol and water used as extraction solvents were supposed to promote a different extraction of some compounds according to their polarity. Therefore, the extraction solvent was found to play a key role in determining the discrimination of the extracts tested, even though some plant tissues were characterized by distinct profiles (such as twigs and leaves) as outlined into the OPLS score plot (Fig. 2). Afterwards, the variable selection method VIP was used to highlight the most dis-criminant compounds involved in the separation observed. In this sense, 94 compounds belonging to both polyphenols and anthraqui-nones possessed a VIP score higher than 1. The VIP markers outlined by VIP were reported inTable 3, together with VIP scores and standard errors. Looking to the VIP markers,flavonoids were the most common classes of phenolics reaching 50 compounds, followed by 22 low mo-lecular weight phenolics (such as phenolic terpenes and tyrosol equivalents), phenolic acids (11 compounds, mainly hydroxycinnamics) and anthraquinones (7 compounds). The results obtained in this work pointed out that the phytochemical profiles of Rhamnus are heavily affected by the different extraction solvent used. In this regard, both methanol and water allowed to recover with a different efficiency some specific compounds. Overall, methanol was found more efficient in promoting differences between the different plant materials tested. In fact, the alcoholic solvent determined a distinct separation between twigs and leaves, while the aqueous-extracts of the same plant matrices showed a more similar profile (Fig. 2). Finally, in order to better un-derstand the different incidence in recovering bioactive compounds as promoted by the different extraction solvents, a fold-change analysis on the VIP markers was provided (Table 3). In particular, mature and unmature fruits were characterized by a similar FC-distribution (i.e. 63% of the VIP markers changed with similar trends) thus justifying the clusters observed for these plant tissues into the OPLS-DA score plot (Fig. 2). Interestingly, methanol allowed to recover high contents of flavanones and anthocyanins when considering twigs. In this regard, the compound most affected by the alcoholic extraction was naringin 4′-O-glucoside, being characterized by a strong up-accumulation (FC = 20.44); regarding anthocyanins, the 80% of VIP markers was found to be up-accumulated in this tissue. Interestingly, the most characterizing Rhamnus compound, i.e. rhamnazin

(3,7-Fig. 1. OPLS-DA on the phenolic and anthraquinone profile of the different Rhamnus extracts when considering the different organs (i.e., twigs, unmature fruits,

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dimethylquercetin), was better extracted in water than methanol when considering each plant tissue tested (Table 3). Besides, methanol was found to be also the best extraction solvent for the recovery of two anthraquinones, being 8-C-glucosyl-7-O-methylaloediol (FC = 15.67) and aloenin-2′-p-coumaroyl ester (FC = 13.04), when considering Rhamnus leaves and unmature fruits, respectively. Besides, physcion was better extracted in water than methanol, recording the highest recovery in unmature fruits extracted with water (FC = 5.78). Overall, our results agreed with those reported in literature (Lou et al., 2016; Rocchetti et al., 2019a;Złotek et al., 2016) outlined different extraction efficiencies of bioactive compounds depending on both the extraction solvents and technologies used.

3.3. In vitro antioxidant activities

The in vitro antioxidant activities of R. petiolaris were determined by a series of assays including radical scavenging (DPPH and ABTS), re-ducing power (FRAP and CUPRAC), total antioxidant capacity (phos-phomolybdenum) and metal chelating ability. As displayed inTable 4, the best DPPH scavenging properties were exhibited by the mature and unmature fruit extracts. For instance, the highest DPPH activity was observed by the methanolic unmature fruit extract (470.96 mgTE/g) while the lowest activity was observed by the aqueous leaf extract (76.64 mgTE/g). In addition, the highest ABTS scavenging potential was displayed by the aqueous unmature fruit extract (394.96 mgTE/g) and the weakest ABTS scavenger was found to be the methanolic leaf extract (90.70 mg/TE/g). The total antioxidant activity of the extracts was also evaluated using phosphomolybdenum assay involving an electron-transfer reaction based on the reduction of molybdenum (VI) to molybdenum (V) by the antioxidant (Meshkini, 2016). In this study, the highest antioxidant activity was exhibited by the aqueous unmature fruit (2.96 mgTE/g) and the least active extract was aqueous leaf (1.59 mgTE/g) which was in agreement with its TPC since the extracts dis-played highest and lowest TPC accordingly. The reducing powers of the different extracts were also evaluated in terms of CUPRAC and FRAP. Results showed that aqueous unmature fruit extract have the most significant reducing potential on CUPRAC and FRAP (772.73 and 1049.61 mg TE/g). Similarly, the aqueous unmature fruit extract ex-erted the highest metal chelating effect (40.57 mg EDTAE/g) which is in accordance with its TPC and the aqueous twig extract exerting the least effect (8.17 mg EDTAE/g) agreeing with its TFC. The TPC and TFC of the different Rhamnus extracts (supplementary Table 2) were

investigated to determine the correlation with the corresponding in vitro antioxidant activities. It is important to highlight that the aqueous unmature fruit extract showing the highest TPC equally exhibited the highest antioxidant activity in most of the assays (except for DPPH) thus showing a good correlation between phenolic compounds and antioxidant potential.

In a recent study,Benamar et al. (2019)evaluated antioxidant ac-tivity of different extracts from Rhamnus lycioides subsp. oleoides leaves and ethyl acetate and methanol extracts were noted as most active extracts with the high level of phenolics and anthraquinones. Similarly, the methanol extract of leaves exhibited more ability when compared with water extract in our study.Ben Ammar et al. (2019)isolated some compounds from R. alternatus leaves and barks and some of the com-pounds exhibited significant DPPH scavenging abilities. In a previous study,Moussi et al. (2015)tested R. alternatus leaves extracts and the total phenolic contents varied from 78.91 to 712.58μg GAE/mL. Also, the high levels of phenolics andflavonoids in four Rhamnus extracts was reported by Kosalec et al. (2013). In accordance with our results, Boussahel et al. (2015)found higher level offlavonoids in the methanol extract of R. alternatus bark than water extract. Ourfinding (46.07 mg GAE/g extract) was also very close that of the methanol extract of R. intermedia leaf (46.40 mg GAE/g extract) reported by Šamec et al. (2012). In addition, the authors reported high antioxidant abilities (by DPPH, ABTS and FRAP assays) for leaf extract when compared with bark extract. This fact could evidence that phenolic compounds are main contributors to antioxidant abilities of the members of the genus Rhamnus.Stef et al. (2009)evaluated antioxidant capacity of eleven medicinal plants in Romania and they reported the highest DPPH scavenging ability of R. frangula extracts. Generally, the members of the Rhamnus genus was reported highly active antioxidant agents and this phenomena could be contributed the industrial usage of the members of the Rhamnus genus.

3.4. Inhibitory activity on key enzymes

The enzyme inhibitory potential of R. petiolaris extracts were eval-uated against tyrosinase,α-amylase, α-glucosidase, and two cholines-terases (AChE and BChE). Thefindings are represented inTable 5. The selected target enzymes play a pivotal role in maintaining and reg-ulating bodily functions. For example, tyrosinase regulates the pro-duction of melanin pigments, by a process defined as melanogenesis, produced by the melanocytes, in order to protect the skin against Fig. 2. OPLS-DA on the phenolic and anthraquinone profile of the different Rhamnus extracts when considering different extraction solvents (i.e., methanol vs water).

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Table 3

Discriminant polyphenols and anthraquinones identified by VIP (variable importance in projection) selection method following supervised OPLS-DA modelling as

function of the different extraction solvent (methanol vs water). Compounds are provided together with VIP scores (measure of variables importance in the OPLS

model).

Class Compound VIP score LogFC

[Leaves MeOH vs H20]

LogFC

[Unmature fruits MeOH vs H2O]

Log FC

[Mature fruits MeOH vs H2O] LogFC [Twigs MeOH vs H2O] Anthraquinones Chrysophanol 1.62 ± 0.73 −4.52 6.77 1.85 −0.53 Aloenin-2'-p-coumaroyl ester 1.28 ± 0.76 8.62 13.04 5.17 −0.30 Aloesone 1.25 ± 0.94 2.69 6.77 4.90 −0.33 8-C-glucosyl-aloesol 1.12 ± 0.96 0.45 1.01 0.02 7.15 Physcion 1.09 ± 0.91 3.53 −5.78 −0.96 −0.23 8-C-glucosyl-7-O-methylaloediol 1.06 ± 1.01 15.67 −8.07 −1.76 −8.27 7-O-Methylaloeresin A 1.04 ± 1.23 −0.19 0.13 −0.45 1.03 Anthocyanins Pelargonidin 1.79 ± 1.12 −5.73 1.47 1.06 0.44 Delphinidin 3-O-(6”-acetyl-galactoside) 1.57 ± 1.26 −5.61 −0.50 12.88 13.33 Delphinidin 3-O-(6”-acetyl-glucoside) 1.41 ± 1.39 0.92 12.02 7.36 1.02 Cyanidin 3-O-(6”-acetyl-glucoside) 1.41 ± 0.81 −6.29 11.38 0.56 1.03 Delphinidin 3-O-arabinoside 1.31 ± 0.92 −6.97 16.44 −6.12 1.87 Cyanidin 1.29 ± 0.99 −2.07 −0.18 0.79 9.54 Cyanidin 3-O-(6”-caffeoyl-glucoside) 1.19 ± 1.04 1.37 3.28 −1.14 8.90 Delphinidin 3-O-rutinoside 1.07 ± 0.86 1.29 8.96 0.65 −0.58 Malvidin 3-O-(6”-p-coumaroyl-glucoside) 1.06 ± 1.09 1.61 1.34 −0.35 4.83 Cyanidin 3-O-(6”-succinyl-glucoside) 1.00 ± 1.37 −3.95 −1.69 1.03 −1.55 Dihydroflavonols Dihydroquercetin 3-O-rhamnoside 1.89 ± 0.86 1.30 1.41 1.09 1.30

Dihydromyricetin 3-O-rhamnoside 1.09 ± 0.97 0.21 7.56 1.11 7.05 Dihydroquercetin 1.07 ± 1.16 −14.71 −13.28 0.58 14.28

Flavanols Theaflavin 1.38 ± 1.07 −5.77 −0.34 0.83 15.53

Prodelphinidin dimer B3 1.16 ± 1.57 2.05 −0.83 −3.44 −7.14 Flavanones Naringin 4'-O-glucoside 1.38 ± 1.36 20.44 −6.38 −4.83 0.59

Naringenin 7-O-glucoside 1.08 ± 0.82 1.22 −6.88 0.64 7.26

Eriodictyol 1.38 ± 1.41 4.90 −6.38 −4.83 0.59

Eriocitrin 1.06 ± 1.22 5.71 11.92 0.37 −15.41

Flavones Apigenin 6-C-glucoside 1.90 ± 0.86 1.37 1.51 1.08 15.62 6-Hydroxyluteolin 1.61 ± 0.36 0.18 −0.55 0.51 2.17 7,3',4'-Trihydroxyflavone 1.58 ± 1.19 1.00 17.87 0.82 19.55 Luteolin 7-O-(2-apiosyl-glucoside) 1.45 ± 0.96 −7.30 −2.87 −0.60 −9.79 Cirsimaritin 1.33 ± 1.25 −0.12 0.54 −0.63 7.93 Hispidulin 1.25 ± 1.22 −1.88 5.92 0.12 1.16 Nepetin 1.20 ± 0.90 0.73 −2.84 −2.27 1.04 Geraldone 1.19 ± 1.71 9.62 −0.29 11.63 −0.04 Apigenin 6,8-C-galactoside-C-arabinoside 1.17 ± 1.15 −12.61 1.26 0.69 0.60 Apigenin 7-O-apiosyl-glucoside 1.17 ± 1.15 −12.61 1.26 0.69 0.60 Apigenin 7-O-glucoside 1.15 ± 1.08 3.60 0.82 0.16 −0.62 Jaceosidin 1.13 ± 1.46 −6.54 −1.23 −2.38 −5.82 Apigenin 6,8-C-arabinoside-C-glucoside 1.07 ± 1.13 −12.61 −0.50 −0.34 −1.14 Chrysoeriol 7-O-apiosyl-glucoside 1.01 ± 0.92 −12.60 0.63 −0.69 −0.29 Apigenin 7-O-glucuronide 1.01 ± 1.21 −0.12 19.07 −0.35 5.11 Flavonols Morin 1.61 ± 0.37 0.18 −0.55 0.51 2.17 Galangin 1.58 ± 1.2 1.00 17.87 0.82 19.55 Kaempferol 3-O-xylosyl-glucoside 1.45 ± 0.97 −7.30 −2.87 −0.61 −9.79 Quercetin 3-O-glucosyl-xyloside 1.35 ± 0.77 −21.25 −19.26 −11.76 −0.94 Kaempferol 3-O-rhamnoside 1.35 ± 1.15 0.99 −1.59 −0.33 −7.19 Kaempferol 3-O-acetyl-glucoside 1.31 ± 0.97 −0.86 −12.91 −6.63 1.54 Isorhamnetin 3-O-rutinoside 1.28 ± 1.05 0.93 1.05 −0.11 0.85 Isorhamnetin 1.20 ± 0.90 0.74 −2.84 −2.27 1.04 Methylgalangin 1.19 ± 1.34 9.63 −0.29 11.63 −0.04 3-Methoxynobiletin 1.19 ± 1.71 −0.50 −6.42 0.43 0.22 Isorhamnetin 3-O-galactoside 1.14 ± 1.59 −23.24 −0.63 −1.59 −8.01 3,7-Dimethylquercetin 1.13 ± 1.46 −6.54 −1.23 −2.38 −5.83 Patuletin 3-O-glucosyl-(1-6)-[apiosyl(1-2)]-glucoside 1.01 ± 0.96 2.63 −3.76 2.06 3.84 Isoflavonoids 6”-O-Acetyldaidzin 1.48 ± 0.87 1.34 5.25 6.34 8.10 Daidzin 1.19 ± 0.97 −2.69 0.70 1.70 −15.64 Glycitin 1.19 ± 1.22 1.25 1.36 0.47 1.90 Lignans Pinoresinol 1.95 ± 0.59 20.29 17.81 20.17 12.15 Conidendrin 1.49 ± 1.04 5.27 0.57 0.55 1.97 Todolactol A 1.48 ± 0.93 −2.25 −1.29 −0.89 −4.40 Dimethylmatairesinol 1.19 ± 1.20 −0.95 −1.38 11.40 2.13 Alkylphenols 5-Heptadecylresorcinol 1.55 ± 0.88 19.98 17.21 12.21 21.58 4-Methylcatechol 1.31 ± 0.67 −1.74 −1.56 −0.65 −1.11 3-Methylcatechol 1.28 ± 0.67 −1.74 −1.56 −0.44 −1.11 4-Vinylphenol 1.00 ± 1.47 −6.94 0.82 0.62 −0.38 Curcuminoids Curcumin 1.12 ± 1.02 −4.42 −0.46 4.12 1.21 Hydroxybenzaldehydes Syringaldehyde 1.09 ± 1.20 −0.01 −5.13 2.53 0.34 p-Anisaldehyde 1.01 ± 0.79 −12.86 −0.61 −19.76 1.02 Hydroxycinnamaldehydes Sinapaldehyde 1.15 ± 0.87 0.15 1.22 1.68 7.68

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harmful radiation (Athipornchai and Jullapo, 2018). On the other hand, the enzymeamylase breaks down long carbohydrate chains and α-glucosidase breaks down starch and disaccharides into glucose. These enzymes serve as major digestive enzymes and help in intestinal ab-sorption. Importantly, α-amylase and α-glucosidase are potential tar-gets in producing lead compounds for the management of diabetes (Gulçin et al., 2018;Nair et al., 2013). AChE and its related enzyme BChE take part in the hydrolysis of acetylcholine and butyrylcholine, which are related to neurological disorders including Alzheimer’s dis-ease (AD) (Pope and Brimijoin, 2018). It is known that BChE hydrolyses acetylcholine faster than AChE (Colović et al., 2013). Additionally, cholinesterase inhibitors also help to manage the leading cause of blindness which is glaucoma (Weinreb et al., 2014). As observed in Table 5, the most effective AChE and BChE inhibitor was found to be the methanolic twig extract (4.20 and 2.96 mg GALAE/g respectively). It is important to highlight that most of the extracts showed inactivity in terms of BChE inhibition in contrast to AChE. Moreover, the same ex-tract, i.e. methanolic twig, showing significant cholinesterase inhibition equally exhibited the highest tyrosinase activity (137.14 mg KAE/g) and the least active is aqueous unmature fruit extract (13.03 mg KAE/ g). In terms of α-amylase, the methanolic leaf extract showed the

strongest inhibitory effect (0.58 mmol ACAE/g) followed by the aqu-eous leaf extract (0.09 mmol ACAE/g) while for theα-glucosidase tivity, it is the methanolic twig extract which exerted the highest ac-tivity followed by the aqueous unmature fruit extract (0.42 mmol ACAE/g).

It is worthy to point out that the methanolic twig extract showed the highest activity against four enzymes AChE, BChE, tyrosinase and α-glucosidase except forα-amylase. Although, the aqueous unmature and methanolic mature fruit extracts have the highest TPC and TFC re-spectively, they did not possess the highest enzymatic inhibitory effects. It could be projected that there may not be any vital link between TPC or TFC and enzymatic properties but more directly linked to other bioactive compounds. In fact, different phenolic and flavonoid classes have different biological potentials (Kumar and Pandey, 2013).

So far, little evidence has been found enzyme inhibitory effects of the members of the genus Rhamnus. The presentfindings seem to be consistent with other research (Ben et al., 2018) which found the best amylase and glucosidase inhibitory effects for methanol extract of R. frangula leaves. Also, R. lycioides subsp. oleoides anthraquinone rich extract exerted a notable anti-acetylcholinesterase activities (Benamar et al., 2019). In this context, the presented paper is thefirst scientific Table 3 (continued)

Class Compound VIP score LogFC

[Leaves MeOH vs H20]

LogFC

[Unmature fruits MeOH vs H2O]

Log FC

[Mature fruits MeOH vs H2O] LogFC [Twigs MeOH vs H2O] Hydroxycoumarins Umbelliferone 1.69 ± 0.83 8.03 −0.24 8.08 8.78 Methoxyphenols Guaiacol 1.28 ± 0.67 −1.74 −1.56 −0.44 −1.11

Other polyphenols Catechol 1.61 ± 1.20 −2.25 −1.91 −2.23 −0.93

Pyrogallol 1.57 ± 1.06 0.48 1.37 −0.02 0.37

Phlorin 1.46 ± 0.96 1.76 −0.20 1.71 −0.06

Phenolic terpenes Carnosol 1.37 ± 1.11 −0.12 −0.50 −0.35 18.98

Rosmanol 1.35 ± 1.10 −6.03 −0.50 −0.35 8.09

Carvacrol 1.05 ± 1.41 0.33 −6.73 −10.65 1.00

Thymol 1.01 ± 1.43 0.33 −18.76 −0.35 1.00

Tyrosols Oleoside dimethylester 1.49 ± 0.83 −23.96 −0.51 −2.96 −3.83 Ligstroside-aglycone 1.22 ± 1.26 0.68 0.96 −0.52 −6.48 Hydroxytyrosol 1.17 ± 1.02 −12.50 −6.10 −1.66 1.41 Oleoside 11-methylester 1.07 ± 1.27 −13.55 6.94 −0.48 0.63

p-HPEA-AC 1.01 ± 0.78 −0.12 −8.30 −0.88 −1.47

Hydroxybenzoics 4-Hydroxybenzoic acid 4-O-glucoside 1.39 ± 1.13 −0.22 0.01 6.58 1.08 Hydroxycinnamics Isoferulic acid 1.49 ± 0.91 −22.20 −0.63 −7.42 −21.01

3-Sinapoylquinic acid 1.40 ± 0.86 0.93 −1.37 −14.89 2.29 p-Coumaric acid 4-O-glucoside 1.27 ± 1.60 0.03 0.24 −0.09 1.33 3,5-Dicaffeoylquinic acid 1.26 ± 1.18 21.88 17.71 −12.19 0.10 Ferulic acid 4-O-glucoside 1.24 ± 1.09 −1.44 19.28 −0.35 1.49

Feruloyl glucose 1.24 ± 1.05 −1.44 0.43 0.01 1.49

Caffeic acid 4-O-glucoside 1.12 ± 1.38 −0.87 −0.20 1.36 0.30 p-Coumaroyl tyrosine 1.07 ± 1.40 0.82 5.56 −0.77 6.71 Avenanthramide 2f 1.03 ± 1.15 −1.58 −2.70 −1.41 11.15 Hydroxyphenylacetics Homovanillic acid 1.09 ± 1.20 −0.01 −5.11 2-53 0.33

Table 4

in vitro antioxidant activity of the different Rhamnus extracts*.

Solvent Parts DPPH (mgTE/g) ABTS (mgTE/g) CUPRAC (mgTE/g) FRAP (mg TE/g)

Phosphomolybdenum (mmol TE/ g)

Metal chelating ability (mg EDTAE/g) MeOH Twigs 165.23 ± 5.10e 252.52 ± 6.05d 401.52 ± 5.53e 517.70 ± 9.77e 2.54 ± 0.11b 11.31 ± 1.28e Mature fruits 378.95 ± 3.91c 186.88 ± 2.79e 518.40 ± 7.50d 569.80 ± 5.55d 1.77 ± 0.13e 18.28 ± 1.78d Unmature fruits 470.96 ± 0.45a 268.76 ± 5.50c 660.55 ± 7.73b 761.62 ± 7.94b 2.33 ± 0.10cd 28.38 ± 1.30c Leaves 76.64 ± 0.54g 90.70 ± 0.81g 158.65 ± 6.64g 110.22 ± 2.13g 1.91 ± 0.07e 28.55 ± 2.82c Water Twigs 150.54 ± 3.46f 282.82 ± 8.66b 368.69 ± 7.57f 506.41 ± 6.9f 2.42 ± 0.10bc 8.17 ± 0.62f Mature fruits 291.81 ± 8.30d 279.33 ± 1.55b 529.55 ± 5.49c 716.09 ± 2.98c 2.23 ± 0.07f 18.41 ± 2.40d Unmature fruits 388.02 ± 2.77b 394.96 ± 10.23a 772.73 ± 8.63a 1049.61 ± 13.25a 2.96 ± 0.04a 40.57 ± 0.03a Leaves 54.39 ± 1.29h 113.03 ± 1.09f 123.58 ± 1.42h 104.71 ± 1.97g 1.59 ± 0.12d 31.70 ± 0.94b

* Values are expressed are mean ± standard deviation (n = 3). DPPH: 2,2-diphenyl-1-picrylhydrazyl; ABTS: 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulphonic

acid); CUPRAC: Cupric reducing antioxidant capacity; FRAP: Ferric reducing antioxidant power. TE: Trolox equivalent; EDTAE: EDTA equivalent. Different letters

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evidence on enzyme inhibitory effects of R. petiolaris extracts and thus it might provide a great contribution to scientific platform.

3.5. Correlations between phytochemical profiles and bioactive properties The relationship between the quantitative profiles of polyphenols and the biological activity of R. petiolaris were statistically analyzed. With this aim, the Pearson’s correlation coefficients were established between polyphenols and their respective antioxidants and enzymes investigated to determine possible linear relationship between them. The data are presented in supplementary material. It was observed that the highest and most significant positive linear relationship exist be-tween anthocyanins: DPPH (0.82: p < 0.01), flavonols: DPPH (0.91: p < 0.01) and TFC: DPPH (0.86: p < 0.01). Furthermore, a strong negative correlation exists between stilbenes: CUPRAC (-0.80: p < 0.01) and tyrosols: DPPH (-0.74: p < 0.05). It is important to underline that alkylphenols do not show any significant contribution to the antioxidants and enzymes except BChE showing a positive lation of 0.67 (p < 0.01). From the data obtained by Pearson’s corre-lations, we established no correlation between polyphenols and amy-lase activity in contrary to glucosidase which showed a moderate correlation of 0.58 (p < 0.01) withflavones and 0.52 (p < 0.05) with lignans. As proposed byOzer et al. (2018), the determination of phy-tochemicals responsible for amylase activity needs further biological tests to be verified, including biological activity guided chromato-graphy techniques. Similarly, any of the polyphenols investigated cor-relate with tyrosinase except TPC-MS showing a weak relationship (0.41: p < 0.05). Finally, flavonols, stilbenes, anthraquinones and phenolic acids showed no significant correlation with any enzyme in-vestigated.

4. Conclusions

This study sets out to study the biological propensities of the aqu-eous and methanolic extracts of Rhamnus petiolaris Boiss. & Balansa (twigs, leaves, mature and unmature fruits). The extracts showed dif-ferent biological activities, according to the matrix considered. The methanolic unmature fruit was more effective as DPPH and ABTS sca-venger, whereas the aqueous unmature fruit extract displayed the highest cupric and ferric reducing power. The highest phenolic contents were found in mature and unmature fruits, independently from the extraction solvent used. Correlation results showed thatflavonols and anthocyanins were highly correlated with DPPH and tyrosols were in a good linear relationship with BChE activity. In conclusion, data pro-vided from the present study tend to show that the different extractions used were able to promote the recovery of specific subclasses of com-pounds with different efficiencies (above all when considering flavo-noids, phenolic acids and anthraquinones). This work underlines the potential of untargeted metabolomics in providing better insights and comprehensive descriptions of the phytochemical composition of plant

matrices, compared with targeted approaches. Furthermore, for thefirst time, a detailed description of polyphenols and anthraquinone profiles in this plant species has been achieved. Therefore, these preliminary findings could be very useful to produce active extracts warrant further attention in an endeavor to develop new phytopharmaceuticals, nu-traceuticals or food additives.

Declaration of Competing Interest

The authors declare no conflict of interest. Appendix A. Supplementary data

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Table 5

Enzyme inhibitory activity of the different Rhamnus extracts*.

Solvent Parts AChE inhibition (mg GALAE/g)

BChE inhibition (mg GALAE/g)

Tyrosinase inhibition (mg KAE/g)

Amylase inhibition (mmol ACAE/g)

Glucosidase inhibition (mmol ACAE/g) MeOH Twigs 4.20 ± 0.02a 2.96 ± 0.28a 137.14 ± 0.97a 0.57 ± 0.04ab 1.93 ± 0.01a Mature fruits 2.38 ± 0.05d na 127.94 ± 2.28c 0.55 ± 0.03b 1.90 ± 0.03a Unmature fruits 2.74 ± 0.20c na 127.69 ± 1.38c 0.48 ± 0.02c 1.70 ± 0.03c Leaves 3.67 ± 0.40c 1.03 ± 0.31b 134.71 ± 0.46b 0.58 ± 0.01a 1.86 ± 0.01b Water Twigs 1.04 ± 0.20e na 29.16 ± 1.37d 0.14 ± 0.01d 1.43 ± 0.01d Mature fruits na na 13.87 ± 1.27e 0.16 ± 0.01d 0.42 ± 0.02g Unmature fruits na na 13.03 ± 0.84e 0.13 ± 0.01d 1.00 ± 0.01e Leaves 0.39 ± 0.12f na 14.65 ± 2.03e 0.09 ± 0.01e 0.67 ± 0.03f

* Values are expressed as mean ± standard deviation (n = 3). AChE: Acetylcholinesterase; BChE: Butyrylcholinesterase; GALAE: Galatamine equivalent; KAE:

Kojic acid equivalent; ACAE: Acarbose equivalent; n.a.: not active. Different letters indicate significant differences in the extracts as resulted from ANOVA (p < 0.01;

(10)

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