Three New Steroidal Glycoalkaloids from Solanum pseudoquina A. St.-Hil. (Solanaceae)

Soares, Vitor; Bezerra, Thaís A.; Lafetá, Rita C. A.; Borges, Ricardo Moreira; Silva, Antônio Jorge R. da

doi:10.21577/0103-5053.20160229

Cited by 2 publications

(5 citation statements)

References 12 publications

(16 reference statements)

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“…Glycoalkaloids from S. pseudoquina were analysed using both the database dependent GNPS and the database independent LipidXplorer methods to demonstrate the application of both to complex mixture dereplication. Among the compounds expected to be found in a Solanum species, glycoalkaloids are considered to be chemotaxonomic markers . Therefore, a raw 80% methanol–water extract together with a glycoalkaloid rich extract were analysed by LC‐ddMS 2 .…”

Section: Resultsmentioning

confidence: 99%

“…To endorse the classification provided by the data presented so far, a preparative chromatographic procedure was done to get pure glycoalkaloids. Thus, it was possible to purify four glycoalkaloids where three of them were described previously . The forth compound (SGA4), a new monoglycoside of an epiminiocholestane derivative, is described on the basis of exhaustive MS and NMR data analysis.…”

Section: Resultsmentioning

confidence: 99%

“…Among the compounds expected to be found in a Solanum species, glycoalkaloids are considered to be chemotaxonomic markers. [12][13][14] Therefore, a raw 80% methanol-water extract together with a glycoalkaloid rich extract were analysed by LC-ddMS 2 . The precursor ions and its ion source fragments of water molecule was observed and highlighted in red edges (Figure 2).…”

Section: Applicationmentioning

confidence: 99%

“…Thus, it was possible to purify four glycoalkaloids where three of them were described previously. 12 The forth compound (SGA4), a new monoglycoside of an epiminiocholestane derivative, is described on the basis of exhaustive MS and NMR data analysis.…”

Section: Applicationmentioning

confidence: 99%

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Extending compound identification for molecular network using the LipidXplorer database independent method: A proof of concept using glycoalkaloids from Solanum pseudoquina A. St.‐Hil.

Soares

Taujale

Garrett

et al. 2018

Phytochemical Analysis

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Introduction Molecular networks are now established as the method of choice for tandem mass spectrometry dereplication and similarity‐based structure elucidation. Node identification can be used to start the propagation of the structure elucidation of unknown compounds progressively. Objective To demonstrate the capabilities of using the LipidXplorer data results along with molecular networking to identify nodes and aid sequential structure elucidation of unknown compounds. Material and Methods Molecular fragmentation query language (MFQL) files were written to identify glycoalkaloids based on known structures described for Solanum species. A dataset generated from liquid chromatography‐high resolution mass spectrometry (LC‐HRMS) analysis of Solanum pseudoquina sample were submitted to dereplication on both LipidXplorer software and Global Natural Products Social Molecular Network (GNPS) online system. The resulting attribute table from GNPS calculations was merged with the LipidXplorer results and this merged file was used for network visualisation in Cytoscape. Nodes in the molecular network were labelled using the LipidXplorer identifiers, thus assisting the structure elucidation of unidentified compounds. Results The combination of the LipidXplorer glycoalkaloids list and GNPS analysis was used in Cytoscape to label nodes in the molecular network. The analysis of the network using these labelled starting points triggered the structure elucidation of closely related nodes leading to the identification of 30 compounds using the LipidXplorer output and four purified and structure elucidated compounds, including a new glycoalkaloids identified as 3‐O‐(β‐d‐xylopyranosyl)‐(20R,25S)‐22,26‐epimino‐16‐acetyl‐cholesta‐5,22(N)‐diene. Conclusion A significant compound identification completely based on molecular formula and fragmentation queries was achieved. This new and effective approach could help researches to expand the identification rate of compounds in dereplication studies using molecular networks.

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Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Applicationmentioning

confidence: 99%

Section: Applicationmentioning

confidence: 99%

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Extending compound identification for molecular network using the LipidXplorer database independent method: A proof of concept using glycoalkaloids from Solanum pseudoquina A. St.‐Hil.

Soares

Taujale

Garrett

et al. 2018

Phytochemical Analysis

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“…Solanum pseudoquina A. St.-Hil. of the Solanaceaes family, known as coerana, quina-de-São-Paulo, quina-branca, among others, is used to treat fever and malaria (Soares, et al, 2017).…”

Section: Medical Potential Of Embu-verde Epamentioning

confidence: 99%

Review of the medicinal potential of the Flora of Embu-Verde Environmental Preservation Area

Sousa

Pezuk

Grecco³

2021

RSD

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The Atlantic Forest Biome is essential for 72% of the Brazilian population, but only a small part of the population has knowledge and values this environmental heritage. This biome is under constant threat; thus, strategies and actions are needed for its preservation and conservation. The Embu-Verde Environmental Preservation Area (EPA) concentrates a big part of the remaining biodiversity of the Atlantic Forest, and because it is close to the largest urban center in the country, it is increasingly threatened. The use of plants as a medicinal tool has been explored since the beginning of mankind. In fact, many of the compounds used in the health area derive from the flora. In this context, this study aimed to identify the medicinal potential of the EPA Embu-Verde flora, from the perspective that it is necessary to know to be able to preserve. Based on previous studies registering the biodiversity of EPA Embu-Verde, all the species of flora listed were investigated to identify its medicinal potential. We show here that of the 202 native species identified in the EPA Embu-Verde, there are 35 species of 23 botanical families that presented medicinal potential. The Myrtaceae family was the most cited, and its anti-inflammatory potential was the most prominent, moreover, several other uses were reported for the remaining flora. The medicinal potential of the flora of EPA Embu-Verde is still underestimated, therefore the recognition of medicinal species by the population is important. The preservation of the flora is essential to guarantee the possibility of future bioprospecting studies that will investigate the therapeutic potential of the still unknown medicinal species.

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Three New Steroidal Glycoalkaloids from Solanum pseudoquina A. St.-Hil. (Solanaceae)

Cited by 2 publications

References 12 publications

Extending compound identification for molecular network using the LipidXplorer database independent method: A proof of concept using glycoalkaloids from Solanum pseudoquina A. St.‐Hil.

Extending compound identification for molecular network using the LipidXplorer database independent method: A proof of concept using glycoalkaloids from Solanum pseudoquina A. St.‐Hil.

Review of the medicinal potential of the Flora of Embu-Verde Environmental Preservation Area

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