Molecular mechanisms and associated cell signalling pathways underlying the anticancer properties of phytochemical compounds from <i>Aloe</i> species (Review)

Svitina, Hanna; Hamman, Josias H.; Gouws, Chrisna

doi:10.3892/etm.2021.10284

Cited by 14 publications

(5 citation statements)

References 169 publications

(300 reference statements)

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“…The ferric chloride test exhibited the presence of phenols, whereas the foam test showed the presence of saponins. Eight classes (alkaloids, flavonoids, glycosides, saponins, sterols, terpenoids, phenols and fixed oils and fats) of phytocompounds were found in the leaf extract of A. ferox across the study sites, which was consistent with the previous studies (Nalimu et al 2021;Singh et al 2021;Svitina, Hamman & Gouws 2021). The leaf extracts also revealed the presence of fixed oils and fats.…”

Section: Resultssupporting

confidence: 90%

Pytochemical profile of Aloe ferox Mill. across different regions within South Africa

Goge

Singh

Komoreng

et al. 2023

JOMPED

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Background: Aloe ferox is an indigenous medicinal plant that is widely used for its various medicinal and pharmacological properties. Despite the medicinal importance and various applications of the species, it is surprising that little is known about the extent of geographical differences in its major chemical compounds. Also, the correlation between different geographic regions and variations in plant phytochemicals has received less attention.Aim: This study sought to investigate the presence of biologically active compounds in the leaf extracts of A. ferox from different geographical regions across South Africa.Setting: This study was set in different regions within South Africa.Methods: Phytochemical screening was performed qualitatively using established standard procedures involving chemical reagents such as hexane, chloroform and methanol and a series of reactions to determine the presence of phytocompounds of biological importance.Results: The study revealed that A. ferox leaves possess several classes of phytocompounds such as alkaloids, tannins, terpenoids, glycosides, phenolics, flavonoids, saponins and fixed oils and fats across various samples. Mucilage was absent across the samples.Conclusion: The study revealed eight classes of phytochemical compounds present on A. ferox leaves in three different geographic regions, which is consistent with the previous studies; however, further research is needed to enhance the study through qualitative research, gas chromatography–mass spectrometry and high-performance liquid chromatography analyses to validate phytochemical variations and their therapeutic effects.Contribution: This study contributes to the existing knowledge of the therapeutic Aloe genus.

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Section: Resultssupporting

confidence: 90%

Pytochemical profile of Aloe ferox Mill. across different regions within South Africa

Goge

Singh

Komoreng

et al. 2023

JOMPED

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“…Within the same study, it is noted that a concentration of 80 μM is sufficient to block the activity of Phosphatidylinositol (4,5) bisphosphate [75]. On the other hand, it has been shown that Quercetin induces the inactivation of the AKT protein, an anti-apoptotic protein, by decreasing its phosphorylation and also directly inactivates procaspase-9, thus blocking cellular apoptosis [76]. In addition, exposure of cells to a concentration of 50 μM resulted in the blockade of the Extracellular Signal-Regulated Kinases (ERK1/2) pathway.…”

Section: Cancermentioning

confidence: 88%

Design and Parameterization of a Computational Model Based on Convolutional Neural Networks for Mango Selection

Salazar-Campos,

Ruiz

et al. 2024

Preprint

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In recent times, using image-based deep learning techniques has been very useful for classifying fruits. However, mango is a particular challenge because its shelf life is directly related to the degree of maturity at the time of harvest, which is determined mainly through the visual assessment of the operators when sorting them, doing it incorrectly, coupled with the blows and compressions exposed during storage and transport, trigger the deterioration in their quality, hence the importance of this operation. In this sense, the purpose of this study focuses on designing a computational model based on Deep Learning that uses a convolutional neural network (CNN) parameterized to select mangoes according to their color tone based on their maturity stage. A dataset was established from 201 labeled images, then a CNN architecture was built, obtaining a model on which 3 criteria were evaluated: the number of convolution and grouping layers, the resolution of the input images and the number of training epochs required. As a result, an input image resolution of 32 x 32 pixels was achieved, the process included a convolution layer followed by pooling that fed another layer that processed the results and ended in an output layer with 2 neurons under the One Hot Encoding representation. The model required 20 epochs to perfect its training, achieving 96.04 % accuracy in mango image selection. This study supports the potential of CNNs in quality analysis through mango color selection, even in uncertainty scenarios.

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“…In this regard, Aloe vera -based nanoformulations activate different metabolic pathways linked to apoptosis, including but not limited to Bax, Bad, and Caspase signaling. Thus, nanoformulations containing compounds from Aloe vera induce ROS production, followed by increased levels of p-ERK1/2, p-p38, and p-JNK [ 153 , 155 ].…”

Section: Discussion and Perspectives On The Use Of Aloe Ver...mentioning

confidence: 99%

Effects of Carbon Nanomaterials and Aloe vera on Melanomas—Where Are We? Recent Updates

et al. 2022

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Melanoma is an aggressive skin cancer that affects approximately 140,000 people worldwide each year, with a high fatality rate. Available treatment modalities show limited efficacy in more severe cases. Hence, the search for new treatment modalities, including immunotherapies, for curing, mitigating, and/or preventing cancer is important and urgently needed. Carbon nanoparticles associated with some plant materials, such as Aloe vera, have shown appealing antineoplastic activity, derived mainly from the compounds aloin, aloe-emodin, barbaloin acemannan, and octapeptide, thus representing new possibilities as antitumor agents. This systematic review aims to arouse interest and present the possibilities of using Aloe vera combined with carbon-based nanomaterials as an antineoplastic agent in the treatment and prevention of melanoma. Limitations and advances in melanoma treatment using functionalized carbon nanomaterials are discussed here. Moreover, this review provides the basis for further studies designed to fully explore the potential of carbon nanomaterials associated with Aloe vera in the treatment of various cancers, with a focus on melanoma.

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Molecular mechanisms and associated cell signalling pathways underlying the anticancer properties of phytochemical compounds from Aloe species (Review)

Cited by 14 publications

References 169 publications

Pytochemical profile of Aloe ferox Mill. across different regions within South Africa

Pytochemical profile of Aloe ferox Mill. across different regions within South Africa

Design and Parameterization of a Computational Model Based on Convolutional Neural Networks for Mango Selection

Effects of Carbon Nanomaterials and Aloe vera on Melanomas—Where Are We? Recent Updates

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