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  1. Yanamadala S, Shanthirappan S, Kannan S, Chiterasu N, Subramanian K, Al-Keridis LA, et al.
    Biology (Basel), 2023 Mar 07;12(3).
    PMID: 36979104 DOI: 10.3390/biology12030412
    Though there are several advancements and developments in cancer therapy, the treatment remains challenging. In recent years, the antimicrobial peptides (AMPs) from traditional herbs are focused for identifying and developing potential anticancer molecules. In this study, AMPs are identified from Sphaeranthus amaranthoides, a natural medicinal herb widely used as a crucial immune stimulant in Indian medicine. A total of 86 peptide traces were identified using liquid-chromatography-electrospray-ionisation mass spectrometry (LC-ESI-MS). Among them, three peptides were sequenced using the manual de novo sequencing technique. The in-silico prediction revealed that SA923 is a cyclic peptide with C-N terminal interaction of the carbon atom of ASP7 with the nitrogen atom of GLU1 (1ELVFYRD7). Thus, SA923 is presented under the orbitides class of peptides, which lack the disulfide bonds for cyclization. In addition, SA923, steered with the physicochemical properties and support vector machine (SVM) algorithm mentioned for the segment, has the highest in silico anticancer potential. Further, the in vitro cytotoxicity assay revealed the peptide has anti-proliferative activity, and toxicity studies were demonstrated in Danio rerio (zebrafish) embryos.
  2. Ranjutha V, Chen Y, Al-Keridis LA, Patel M, Alshammari N, Adnan M, et al.
    Antibiotics (Basel), 2023 Feb 27;12(3).
    PMID: 36978344 DOI: 10.3390/antibiotics12030477
    Medicinal plants are an essential source of traditional curatives for numerous skin diseases. Polyalthia longifolia (Sonn.) Thwaites (Annonaceae family) is a medicinal plant used to cure skin illnesses. P. longifolia is usually applied in folkloric therapeutical systems to treat skin diseases. The methicillin-resistant Staphylococcus aureus (MRSA) bacteria is among the essential bacteria contributing to skin diseases. Hence, to verify the traditional medicinal claim of P. longifolia usage in skin disease treatment, the current research was performed to study the synergistic antibacterial activity of standardized Polyalthia longifolia methanol leaf extract (MEPL) against MRSA bacteria. The synergistic antimicrobial activity result of ceftriaxone, when mixed with MEPL, against MRSA was investigated by the disc diffusion method, broth microdilution method, checkerboard dilution test, and modulation of mecA gene expression by multiplex polymerase chain reaction (multiplex PCR). The MEPL extract exhibited good synergistic antimicrobial activity against MRSA. Using the checkerboard method, we confirmed the synergistic effect of MEPL from P. longifolia and ceftriaxone (2:1) for MRSA with a marked reduction of the MIC value of the ceftriaxone from 8000 µg/mL to 1000 µg/mL. Moreover, the combination of MEPL with ceftriaxone significantly (p < 0.05) inhibited the presence of the resistant mecA gene in the tested strain. The LC-ESI-MS/MS analysis identified compounds that were reported to exhibit antimicrobial activity. Conclusively, the MEPL extract, an important etiological agent for skin diseases, showed worthy synergistic antimicrobial action against MRSA bacteria, thus supporting the traditional use of P. longifolia.
  3. Kaliaperumal K, Salendra L, Liu Y, Ju Z, Sahu SK, Elumalai S, et al.
    Front Microbiol, 2023;14:1216928.
    PMID: 37849927 DOI: 10.3389/fmicb.2023.1216928
    INTRODUCTION: Fungus-derived secondary metabolites are fascinating with biomedical potential and chemical diversity. Mining endophytic fungi for drug candidates is an ongoing process in the field of drug discovery and medicinal chemistry. Endophytic fungal symbionts from terrestrial plants, marine flora, and fauna tend to produce interesting types of secondary metabolites with biomedical importance of anticancer, antiviral, and anti-tuberculosis properties.

    METHODS: An organic ethyl acetate extract of Penicillium verruculosum sponge-derived endophytic fungi from Spongia officinalis yielded seven different secondary metabolites which are purified through HPLC. The isolated compounds are of averufin (1), aspergilol-A (2), sulochrin (3), monomethyl sulochrin (4), methyl emodin (5), citreorosein (6), and diorcinol (7). All the seven isolated compounds were characterized by high-resolution NMR spectral studies. All isolated compounds', such as anticancer, antimicrobial, anti-tuberculosis, and antiviral, were subjected to bioactivity screening.

    RESULTS: Out of seven tested compounds, compound (1) exhibits strong anticancer activity toward myeloid leukemia. HL60 cell lines have an IC50 concentration of 1.00μm, which is nearly significant to that of the standard anticancer drug taxol. A virtual computational molecular docking approach of averufin with HL60 antigens revealed that averufin binds strongly with the protein target alpha, beta-tubulin (1JFF), with a -10.98 binding score. Consecutive OSIRIS and Lipinski ADME pharmacokinetic validation of averufin with HL60 antigens revealed that averufin has good pharmacokinetic properties such as drug score, solubility, and mutagenic nature. Furthermore, aspergilol-A (2) is the first report on the Penicillium verruculosum fungal strain.

    DISCUSSION: We concluded that averufin (1) isolated from Penicillium verruculosum can be taken for further preliminary clinical trials like animal model in-vivo studies and pharmacodynamic studies. A future prospect of in-vivo anticancer screening of averufin can be validated through the present experimental findings.

  4. Subramani S, Varshney N, Anand MV, Soudagar MEM, Al-Keridis LA, Upadhyay TK, et al.
    Front Med (Lausanne), 2023;10:1150933.
    PMID: 37138750 DOI: 10.3389/fmed.2023.1150933
    It is yet unknown what causes cardiovascular disease (CVD), but we do know that it is associated with a high risk of death, as well as severe morbidity and disability. There is an urgent need for AI-based technologies that are able to promptly and reliably predict the future outcomes of individuals who have cardiovascular disease. The Internet of Things (IoT) is serving as a driving force behind the development of CVD prediction. In order to analyse and make predictions based on the data that IoT devices receive, machine learning (ML) is used. Traditional machine learning algorithms are unable to take differences in the data into account and have a low level of accuracy in their model predictions. This research presents a collection of machine learning models that can be used to address this problem. These models take into account the data observation mechanisms and training procedures of a number of different algorithms. In order to verify the efficacy of our strategy, we combined the Heart Dataset with other classification models. The proposed method provides nearly 96 percent of accuracy result than other existing methods and the complete analysis over several metrics has been analysed and provided. Research in the field of deep learning will benefit from additional data from a large number of medical institutions, which may be used for the development of artificial neural network structures.
  5. Alhassan HH, Al-Keridis LA, Ayub H, Alenazy FO, Alruwaili Y, Khan MR, et al.
    Heliyon, 2023 Aug;9(8):e19324.
    PMID: 37664756 DOI: 10.1016/j.heliyon.2023.e19324
    Fruit of Carissa opaca Stapf ex Haines (C. opaca) is a feed additive and is commonly used against cardiac dysfunction, fever, asthma, diarrhea, gastrointestinal ailments, and skin diseases. In this study, we aimed to evaluate the metabolic profile and antioxidant potential of C. opaca fruit against carbon tetrachloride (CCl4)-induced cardiotoxicity and testicular toxicity in rats. Gas Chromatoghraphy-Mass Spectrometry (GC-MS) analysis of C. opaca fruit for the identification of potential metabolic profile, followed by methanolic extract of C. opaca and its derived fractions including n-hexane, ethyl acetate, chloroform, butanol, and aqueous were used to assess the antioxidant potential of fruits. Ten groups of rats received different treatments and got evaluated for cardiac and testicular antioxidant enzymes, histological architecture, and serum hormonal levels. GC-MS analysis of methanolic extract of C. opaca fruit showed the presence of some bioactive metabolites like cyclodecane, diethyl 2,6-pyridine dicarboxylate, tetrahydro-geraniol, S-[2-[N, N-Dimethylamino]ethyl]morpoline, 2,3-Methylenedioxyphenol, alpha-d-Glucopyranoside, 5,10-Diethoxy-2,3,7,8-tetrahydro-1H, 6H-dipyrrolo [1,2-a; 1',2'-d] pyrazine and 1,3-Benzothiazol-2(3H)-one,3-(3,3-dimethyl-1-oxobutyl) that corresponds the medicinal properties of C. opaca fruit. Prepared fractions of C. opaca fruits mitigated the toxicity induced by CCl4 in the heart and testicular tissues of rats. Oxidative stress was caused by the inhibition of activities of glutathione and other antioxidant enzymes of the body, while on the other hand elevating the levels of nitrite and hydrogen peroxide. Treatment with C. opaca fruit extract normalized the levels of enzymes, reproductive hormones, and free radicals thus restoring the histopathological and enzymatic biomarkers towards the normal group. The study supports the indigenous use of fruits as an alternative medicine against cardiac dysfunction by providing scientific evidence of protection against CCl4-induced injuries, and it also concludes the antioxidant defensive role in testicular tissues.
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