Revisiting Licorice as a functional food in the management of neurological disorders: Bench to trend

Sharma, Ruchi; Singla, Rajeev K.; Banerjee, Subhadip; Sharma, Rohit

doi:10.1016/j.neubiorev.2023.105452

Cited by 14 publications

(5 citation statements)

References 122 publications

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“…This indicates that the antifungal potential of the tested plant may be due to the bioactive components, and to flavonoids 2 and 3 in particular. On the other hand, the anticancer effect of the molecules is also worth mentioning, especially in the case of compound 1, and these activities encourage us to further study the antifungal and antiproliferative effects of these isolated compounds (1)(2)(3).…”

Section: Resultsmentioning

confidence: 99%

“…[9] The triterpene pistagremic acid (1) is one of the main components extracted from P. chinensis galls, but it can also be retrieved in its roots and barks. [10] P. chinensis galls also contain flavonoids, such as apigenin (2) and sakuranetin (3) that we studied in the current report, and which contribute in conferring antiproliferative, anti-infective and antioxidant potential to the plant and to its extracts. [11,12] The aim of this study is to evaluate, by means of in vitro tests, the antifungal properties of the defatted methanolic extract of P. chinensis galls and of the 3 cited molecules, consisting in a triterpene and 2 flavonoids, isolated by column chromatography.…”

Section: Introductionmentioning

confidence: 97%

“…Since ancient times, human beings have been familiar with the beneficial roles and pharmacological potential of medicinal herbs from traditional medicine, but many applications of these plants and spices still need to be scientifically rationalized by fully understanding the underlying molecular mechanisms. [1][2][3][4] In this connection, Pistacia chinensis subsp. integerrima (J.L.…”

Section: Introductionmentioning

confidence: 97%

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Antifungal and Antiproliferative Activity of Pistagremic Acid and Flavonoids Extracted from the Galls of Pistacia chinensis subsp. integerrima

Rauf,

Anyanwu,

Aliiri

et al. 2024

Chemistry & Biodiversity

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Pistacia chinensis subsp. integerrima (J.L. Stewart) Rech. f. is a plant known for its therapeutic applications in traditional medicine, which are related to its antimicrobial, anticancer, antioxidant, anti‐inflammatory, analgesic, antidiarrheal, and muscle relaxant properties. The galls of P. chinensis are rich in triterpenes and flavonoids, and we here report the extraction of pistagremic acid (1), apigenin (2) and sakuranetin (3) from this source. The isolated compounds were tested against Aspergillus flavus, Candida albicans, Candida glabrata, Fusarium solani, Microsporum canis and Trichoderma longibrachiatum. The results highlighted the antimicrobial activity of flavonoids 2 and 3, suggesting that this class of molecules may be responsible for the effect related to the traditional use. On the other hand, when the compounds and the extract were tested for their antiproliferative activity on a panel of 4 human cancer cell lines, the triterpene pistagremic acid (1) showed a higher potential, thus demonstrating a different bioactivity profile. Structure‐based docking and molecular dynamics simulations were used to help the interpretation of experimental results. Taken together, the here reported findings pave the way for the rationalization of the use of P. chinensis extracts, highlighting the contributions of the different components of galls to the observed bioactivity.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 97%

Section: Introductionmentioning

confidence: 97%

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Antifungal and Antiproliferative Activity of Pistagremic Acid and Flavonoids Extracted from the Galls of Pistacia chinensis subsp. integerrima

Rauf,

Anyanwu,

Aliiri

et al. 2024

Chemistry & Biodiversity

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“…For instance, studies have utilized network pharmacology to decipher the intricate mechanisms underlying the therapeutic efficacy of various herbs, revealing insights into their pathways (L. Li et al., 2023 ). This approach has demonstrated its effectiveness in various contexts, including the treatment of chronic diseases such as gastrointestinal and neurological diseases (Sharma et al., 2022 , 2023 ; Thakur et al., 2023 ), demonstrating its versatility and depth in traditional medicine research. Despite these advancements, the field of network pharmacology is undergoing significant progress, transitioning toward the more encompassing and sophisticated framework of network medicine.…”

Section: Introductionmentioning

confidence: 99%

Network medicine‐based analysis of the hepatoprotective effects of Amomum villosum Lour. on alcoholic liver disease in rats

Wei,

Wang,

Huang

et al. 2024

Food Science & Nutrition

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Alcoholic liver disease (ALD) is characterized by high morbidity and mortality, and mainly results from prolonged and excessive alcohol use. Amomum villosum Lour. (A. villosum), a well‐known traditional Chinese medicine (TCM), has hepatoprotective properties. However, its ability to combat alcohol‐induced liver injury has not been fully explored. The objective of this study was to investigate the hepatoprotective effects of A. villosum in a rat model of alcohol‐induced liver disease, thereby establishing a scientific foundation for the potential preventive use of A. villosum in ALD. We established a Chinese liquor (Baijiu)‐induced liver injury model in rats. Hematoxylin and eosin (HE) staining, in combination with biochemical tests, was used to evaluate the protective effects of A. villosum on the liver. The integration of network medicine analysis with experimental validation was used to explore the hepatoprotective effects and potential mechanisms of A. villosum in rats. Our findings showed that A. villosum ameliorated alcohol‐induced changes in body weight, liver index, hepatic steatosis, inflammation, blood lipid metabolism, and liver function in rats. Network proximity analysis was employed to identify 18 potentially active ingredients of A. villosum for ALD treatment. These potentially active ingredients in the blood were further identified using mass spectrometry (MS). Our results showed that A. villosum plays a hepatoprotective role by modulating the protein levels of estrogen receptor 1 (ESR1), anti‐nuclear receptor subfamily 3 group C member 1 (NR3C1), interleukin 6 (IL‐6), and tumor necrosis factor‐α (TNF‐α). In conclusion, the results of the current study suggested that A. villosum potentially exerts hepatoprotective effects on ALD in rats, possibly through regulating the protein levels of ESR1, NR3C1, IL‐6, and TNF‐α.

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“…Natural products have been shown to effectively treat many diseases and thus may provide an avenue for discovering new, effective drug combinations (Caesar and Cech, 2019;Sharma et al, 2023). Recently, natural products such as Opuntia ficus-indica and Ganoderma lucidum have been investigated and found to be effective against various cancers Wang et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Natural product based anticancer drug combination discovery assisted by deep learning and network analysis

Cao

2024

Front. Nat. Prod.

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Drug combination therapies have shown effective performance in treating cancer through increased efficacy and circumvention of drug resistance through synergy. Two avenues can be used to discover drug combinations: a novel approach that utilizes natural products compared with the textbook approach of utilizing existing chemotherapy drug combinations. Many natural products achieve efficacy due to synergistic interactions between the active ingredients. Therefore, the pharmacophore relationships in herbal compounds which synergize can potentially be applied to chemotherapy drugs to drive combination discovery. Machine learning approaches have been developed to identify drug combinations, especially deep neural networks (DNN), which have achieved state-of-the-art performance in many drug discovery tasks. Here, a drug protein interaction (DPI) prediction DNN, DeepDPI, was developed to employ DPI drug representations and achieved state-of-the-art performance using the DrugBank database. Two DNNs were also developed to predict novel drug combinations: DeepNPD, which predicts combinations in natural products, and DeepCombo, which predicts synergy in chemotherapy drugs, using the HERB and DrugCombDB databases respectively. An ensemble architecture enhanced with a novel similarity based weight adjustment (SBWA) approach was used and both models accurately predicted drug combinations for both known and unknown drugs. Lastly, a screening was conducted using each model where DeepNPD predicted combinations where drugs had similar targets, while DeepCombo predicted combinations where one agent potentiated the other, with both models’ predicted combinations investigated through a network-based analysis and identifying as a synergistic combinations in literature. DeepNPD notably identified Thioguanine and Hydroxyurea and DeepCombo discovered Vinblastine and Dasatinib as hits for potential new anticancer drug combinations. DeepNPD illustrates how natural products are a novel path where new drug combinations can be discovered.

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Revisiting Licorice as a functional food in the management of neurological disorders: Bench to trend

Cited by 14 publications

References 122 publications

Antifungal and Antiproliferative Activity of Pistagremic Acid and Flavonoids Extracted from the Galls of Pistacia chinensis subsp. integerrima

Antifungal and Antiproliferative Activity of Pistagremic Acid and Flavonoids Extracted from the Galls of Pistacia chinensis subsp. integerrima

Network medicine‐based analysis of the hepatoprotective effects of Amomum villosum Lour. on alcoholic liver disease in rats

Natural product based anticancer drug combination discovery assisted by deep learning and network analysis

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