Medicinal Plants and Their Traditional Uses in Local Communities around Cherangani Hills, Western Kenya

Isolation and chemical characterization of lignocellulosic fiber from Pueraria montana using Box-Behnken design for weed management

The huge demand for natural fibers necessitates the search for non-traditional bioresources including invasive species which are deteriorating the ecosystem and biodiversity. The study aims to utilize Pueraria montana weed for the extraction of lignocellulosic fiber using both traditional (water retting) and chemical extraction methods to determine the better extraction method. Chemically extracted fiber showed 17.09 g/tex bundle strength whereas water-extracted fiber showed 11.7 g/tex bundle strength. Therefore, chemical extraction method was chosen for fiber isolation by optimization of reaction conditions using Box Behnken Design. Based on the design, optimal conditions obtained were 1 % w/v NaOH, 0.75 % v/v H2O2, and 3 days retting time. Solid-state NMR illustrated the breakdown of hemicellulose linkages at 25.89 ppm. FTIR revealed the disappearance of C=O groups of hemicellulose at 1742 cm-1. TGA demonstrated thermal stability of chemically treated fiber up to 220 °C and activation energy of 60.122 KJ/mol. XRD evidenced that chemically extracted fiber has a crystallinity index of 71.1 % and a crystal size of 2 nm. Thus P. montana weed holds potential for the isolation of natural fiber as its chemical composition and properties are comparable to commercial lignocellulosic fibers. The study exemplifies the transformation of weed to a bioresource of natural fibers.

Verified localization and pharmacognosy of herbal medicinal plants in a combined network framework

Pharmacognosy from medicinal plants involves the scientific domain of medicinal compounding based on their medicinal properties. Accurate identification of medicinal plants is crucial, especially by examining their leaves. Choosing the wrong plant species for medicinal preparations can have adverse side effects. This study presents a Human-Centered Artificial Intelligence approach for medicinal plant identification, combining a YOLOv7-based Leaf Localizer with a leaf Class Verifier based on DenseNet through a Confidence Score Analyser algorithm. The Confidence Score Analyser ensures reliability by evaluating predicted categories against predefined thresholds, and the ensemble technique through majority voting enhances robustness. An average performance gain of 25.66% sensitivity is observed when comparing the YOLO object detection model with 77.45% precision to the YOLO integrated with the class verifier model with 97.33% precision. Consistent sensitivities are achieved through the ensemble technique, showcasing robustness across diverse scenarios. The final step incorporates automated textual and audio pharmacognosy information about the identified medicinal plant properties and their utility. Real-time applicability as a smart phone application makes this approach invaluable for medicinal plant collectors and experts.

Anti-MRSA and cytotoxic activities of different solvent extracts from Artemisia herba-alba grown in Shubak, Jordan

Background

Globally, resistance to antimicrobial drugs is a major hazard to public health. Infections that were once easily treatable with antibiotics are becoming harder to control, leading to prolonged illnesses, increased mortality rates, and higher healthcare costs.

Aim

This study intended to assess the antimicrobial, specifically the anti-Methicillin resistant Staphylococcus aureus (MRSA), and anticancer properties of different extracts obtained from A. herba-alba (AHA).

Methods

The antibacterial tests of AHA were performed on two Gram-negative bacterial strains (Escherichia coli and Klebsiella pneumonia), two Gram-positive bacterial strains (Methicillin-resistant Staphylococcus aureus (MRSA), and Staphylococcus aureus). Initial screening for antibacterial activities was conducted using the well diffusion technique. Subsequently, the minimum inhibitory concentration (MIC) and minimum bactericidal concentration (MBC) were determined through the broth-dilution assay. The anticancer test was carried out in vitro on a human colorectal carcinoma cell line (HCT-116) using MTT assay.

Results

Among all extracts, n-hexane extract of AHA was the most effective against S. aureus with the highest inhibition zone (24.67 mm ± 0.58) compared to standard antibiotic (erythromycin, 24.00 mm) followed by the methanolic extract against MRSA (24.00 mm ± 1.73). The methanol extract of AHA showed the highest antibacterial activity against MRSA. The results of MIC and MBC of the AHA methanol extract against MRSA were 1.17 ± 1.09 and 9.375 ± 0.0 mg/ml, respectively, demonstrating therapeutically significant antibacterial activity. Ethyl acetate extract has no antibacterial activity against E. coli and K. pneumonia. The findings indicated that the methanol extract of AHA exhibited the highest efficacy against the colorectal carcinoma cell line (HCT-116), with an IC50 value of 126.61 ± 13.35 μg/ml.

Conclusion

These findings suggest that the methanol extract of AHA could be considered as a potential agent to serve as a source of antibacterial and anticancer compounds.

Efficacy of Rotundic Acid and Its Derivatives as Promising Natural Anticancer Triterpenoids: A Literature-Based Study

Rotundic acid (RA) is a naturally occurring pentacyclic triterpene with a multitude of pharmacological activities. The primary emphasis of this study is on summarizing the anticancer properties with the underlying mechanisms of RA and its derivatives, as well as the pharmacokinetic features. Data was collected (up to date as of November 10, 2023) from various reliable and authentic literatures by searching in different academic search engines, including PubMed, Springer Link, Scopus, Wiley Online, Web of Science, ScienceDirect, and Google Scholar. The findings imply that RA and its synthetic derivatives possess promising anti-cancer properties against breast, colorectal, liver, and cervical cancers in various preclinical pharmacological test systems. The results also indicate that RA and its derivatives demonstrated anticancer effects via a number of cellular mechanisms, including apoptotic cell death, inhibition of oxidative stress, anti-inflammatory effect, cytotoxicity, cell cycle arrest, anti-proliferative effect, anti-angiogenic effect, and inhibition of cancer cell migration and invasion. It has been proposed that RA and its derived compounds have the capability to serve as a hopeful chemotherapeutic agent, so further extensive clinical research is necessary.

Chromatographic analysis and antioxidant potency of the crude extract of Xanthium spinosum in various fractions

Pharmacology experts place a high priority on therapeutic plants because the majority of pharmaceutical firms rely on medicinal plants as raw ingredients. Therefore, the potential bioactive components using gas chromatography-mass spectrometry analysis and antioxidant effects using DPPH free radical scavenging activity of various crude fractions of Xanthium spinosum were assessed. Gas chromatography-mass spectrometry analysis showed the presence of various bioactive compounds including benzenedicarboxylic acid (18.60%), 8-octadecenoic acid (4.86%), 11-octadecenoic acid and 10-octadecenoic acid in the crude methanolic extract, 1,2-benzenedicarboxylic acid, diisooctyl ester (14.42%), 1,2-benzenedicarboxylic acid, mono (2-ethylhexyl) ester (14.42%), 6-octadecenoic acid, methyl ester (7.56%), 8-octadecenoic acid, methyl ester (7.56%), 10-octadecenoic acid, methyl ester (7.56%) and hexadecanoic acid, methyl ester (6.55%) in the n-hexane extract, ethanal, 2-methyl-2-[4-(1-methylethyl)phenyl]-(3.02%), (+)-3-carene, 4-isopropenyl-(3.02%), 7H-indeno[5,6-b] furan-7-one, 4,4a,5,6,7a,8-hexahydro- (3.02%) and 2-[5-(2,2-dimethyl-6-methylene-cyclohexyl)-3-methyl-pent-2-enyl]-[1,4] benzoquinone (2.79%) in the chloroform extract and 1,2-benzenedicarboxylic acid, mono (2-ethylhexyl) ester (33.005%), 1,2-benzenedicarboxylic acid, diisooctyl ester (33.005%) and bis(2-ethylhexyl) phthalate (33.005%) in the ethyl acetate extract. Significant DPPH radical scavenging activity was exhibited by the chloroform fraction (43.37-88.65%) at all doses followed by the crude methanolic extract (36.02-83.75%) at all doses. In conclusion, different crude fractions of X. spinosum can be considered a rich source of pharmacologically active components that can be scoped for isolation and may be subjected to in-depth pharmacological study.

Assessing deep convolutional neural network models and their comparative performance for automated medicinal plant identification from leaf images

Medicinal plants have got notable attention in recent years in the field of pharmaceutical and drug research. The high demand of herbal medicine in the rural areas of developing countries and drug industries necessitates correct identification of the medicinal plant species which is challenging in absence of expert taxonomic knowledge. Against this backdrop, we attempted to assess the performance of seven advanced deep learning algorithms in the automated identification of the plants from their leaf images and to suggest the best model from a comparative study of the models. We meticulously trained VGG16, VGG19, DenseNet201, ResNet50V2, Xception, InceptionResNetV2, and InceptionV3 deep neural network models. This training utilized a dataset comprising 5878 images encompassing 30 medicinal species distributed among 20 families. Our approach involved two avenues: the utilization of public data (PI) and a blend of public and field data (PFI), the latter featuring intricate backgrounds. Our study elucidates the robustness of these models in accurately identifying and classifying both interfamily and interspecies variations. Despite variations in accuracy across diverse families and species, the models demonstrated adeptness in these classifications. Comparing the models, we unearthed a crucial insight: the Normalized leverage factor (γ ω ) for DenseNet201 stands at 0.19, elevating it to the pinnacle position for PI with a remarkable 99.64 % accuracy and 98.31 % precision. In the PFI scenario, the same model achieves a γ ω of 0.15 with a commendable 97 % accuracy. These findings serve as a guiding beacon for shaping future application tools designed to automate medicinal plant identification at the user level.

Medicinal Plants Used in the Management of Sexual Dysfunction, Infertility and Improving Virility in the East African Community: A Systematic Review

Sexual disorders such as erectile dysfunction (ED), sterility, and sexual inappetence represent some of the complex reproductive challenges that require addressing the underlying causes. The aim of this paper was to systematically synthesize literature on the ethnobotany, phytochemistry, bioactivities, and safety of plants used as remedies for managing sexual dysfunction and infertility, and improving fertility and virility in the EAC. Through an extensive review conducted in multidisciplinary electronic databases, 171 plant species were identified to have been reported for the management of sexual inappetence (i.e., used as aphrodisiacs, 39.4%), ED (35.9%), infertility (18.7%), and increasing fertility (6.0%). The most used plants are Mondia whitei, Acalypha villicaulis, Combretum illairii, Erythrina abyssinica, Pappea capensis, Rhus vulgaris, and Warburgia ugandensis while roots (44.9%), leaves (21.8%), stem and root barks (16.7%) of shrubs (35%), trees (31%), herbs (26%), and climbers (8%) are the preferred organs for making decoctions (69%). The research strides to date indicate that Citropsis articulata, Cola acuminata, Ekebergia capensis, Plumbago zeylanica, Tarenna graveolens, Urtica massaica, and Zingiber officinale have been assessed for their bioactivity. The majority (71.4%) of the plants either increased testosterone levels and mounting frequency or elicited prosexual stimulatory effects in male rats. More studies investigating the relevant pharmacological activities (aphrodisiac, fertility, and phosphodiesterase-5 inhibitory activities), safety aspects, responsible compounds, and clinical studies are warranted to establish the pharmacological potential of the unstudied species and elucidate the mechanism of action of the bioactive compounds.

Important Medicinal and Food Taxa (Orders and Families) in Kenya, Based on Three Quantitative Approaches

Globally, food and medicinal plants have been documented, but their use patterns are poorly understood. Useful plants are non-random subsets of flora, prioritizing certain taxa. This study evaluates orders and families prioritized for medicine and food in Kenya, using three statistical models: Regression, Binomial, and Bayesian approaches. An extensive literature search was conducted to gather information on indigenous flora, medicinal and food plants. Regression residuals, obtained using LlNEST linear regression function, were used to quantify if taxa had unexpectedly high number of useful species relative to the overall proportion in the flora. Bayesian analysis, performed using BETA.INV function, was used to obtain superior and inferior 95% probability credible intervals for the whole flora and for all taxa. To test for the significance of individual taxa departure from the expected number, binomial analysis using BINOMDIST function was performed to obtain p-values for all taxa. The three models identified 14 positive outlier medicinal orders, all with significant values (p < 0.05). Fabales had the highest (66.16) regression residuals, while Sapindales had the highest (1.1605) R-value. Thirty-eight positive outlier medicinal families were identified; 34 were significant outliers (p < 0.05). Rutaceae (1.6808) had the highest R-value, while Fabaceae had the highest regression residuals (63.2). Sixteen positive outlier food orders were recovered; 13 were significant outliers (p < 0.05). Gentianales (45.27) had the highest regression residuals, while Sapindales (2.3654) had the highest R-value. Forty-two positive outlier food families were recovered by the three models; 30 were significant outliers (p < 0.05). Anacardiaceae (5.163) had the highest R-value, while Fabaceae had the highest (28.72) regression residuals. This study presents important medicinal and food taxa in Kenya, and adds useful data for global comparisons.

Antioxidant, Antimicrobial, Phytochemical and FTIR Analysis of Peganum harmala (Fruit) Ethanolic Extract From Cholistan Desert, Pakistan

The aim of this study was to evaluate antioxidant and antimicrobial potential of Peganum harmala fruit. Ethanolic extract was prepared and phytochemical screening showed the presence of a lot of chemical compounds. Fourier transform infrared spectroscopy (FTIR) spectra indicated the presence of organic acids, hydroxyl and phenolic compounds, amino groups, aliphatic compounds, and functional groups such as amide, ketone, aldehyde, aromatics, and halogen compounds. Antioxidant activity of the ethanolic extract of P. harmala by the DPPH method showed 71.4% inhibition, whereas IC₅₀ ± SEM (μg/mL) was .406 ± .11. Antibacterial activity was performed against Escherichia coli, Bacillus subtilis, Bacillus pumilus, Micrococcus luteus, Pseudomonas aeruginosa, Staphylococcus aureus, Staphylococcus epidermidis and Bordetella bronchiseptica. Maximum antibacterial activity was exhibited by Bacillus subtilis (24.33 ± 2 mm) and Bacillus pumilus (23.33 ± 2 mm). Zone of inhibition was 19 ± 2 mm by P. aeruginosa, and it was 18.33 ± 2 mm by Bordetella bronchiseptica. Staphylococcus aureus and Staphylococcus epidermidis had inhibitory effect in the range of 12.33 ± 2 mm and 13.66 ± 3 mm, respectively. 11.66 ± 2 mm and 10 ± 2 mm was zone of inhibition by Micrococcus luteus and E. coli, respectively. Antifungal activity was performed against Aspergillus terreus, Aspergillus fumigatus, Aspergillus flavus and Candida albicans. Ethanolic extract of P. harmala showed antifungal activity against Aspergillus flavus (5 ± 1 mm) and Candida albicans (4 ± 1 mm). Mild antifungal activity was reported by Aspergillus fumigatus (3 ± 1 mm), whereas no activity was exhibited by Aspergillus terreus. Further research is needed in order to evaluate the cytotoxic effects of P. harmala as well.

Constraints to Cultivation of Medicinal Plants by Smallholder Farmers in South Africa

Growing demand for therapeutic products from indigenous medicinal plants has led to increased interest in its cultivation, which presents a viable option for improving smallholder farmers’ livelihoods, as well as sustaining the availability of these resources for future generations. Serious bottlenecks however exist for subsistent farmers in the cultivation of these valuable plants. It was pertinent to probe whether the cultivation of medicinal plants provides feasible solutions to rural poverty, while effectively conserving threatened indigenous biodiversity. The paper employed a comprehensive review of existing literature to explore issues constraining smallholder farmers from involvement in a potentially lucrative plant value chain. Findings indicate challenges such as inadequate domestication of valuable plants species, continued over-harvesting from wild populations, poor knowledge of required agronomic practices, low efficacy perception regarding derivatives from cultivated plants, among others. These constraints occur alongside the conservation-oriented strategy driven by international conservation agencies and wholly adopted by the South African government. Recommendations to improve smallholder involvement in the cultivation of medicinal plants include support to research and extension, targeted inducement to smallholders, contracting and off-take agreements, aimed at promoting an alternative poverty-alleviation-focused economic development strategy. The review adds to the conceptual discourse related to plant diversity, resource conservation, poverty alleviation, and economic development

REPRODUCTIVE TOXICOLOGY: Endocrine disruption and reproductive disorders: impacts on sexually dimorphic neuroendocrine pathways

We are all living with hundreds of anthropogenic chemicals in our bodies every day, a situation that threatens the reproductive health of present and future generations. This review focuses on endocrine-disrupting compounds (EDCs), both naturally occurring and man-made, and summarizes how they interfere with the neuroendocrine system to adversely impact pregnancy outcomes, semen quality, age at puberty, and other aspects of human reproductive health. While obvious malformations of the genitals and other reproductive organs are a clear sign of adverse reproductive health outcomes and injury to brain sexual differentiation, the hypothalamic-pituitary-gonadal (HPG) axis can be much more difficult to discern, particularly in humans. It is well-established that, over the course of development, gonadal hormones shape the vertebrate brain such that sex-specific reproductive physiology and behaviors emerge. Decades of work in neuroendocrinology have elucidated many of the discrete and often very short developmental windows across pre- and postnatal development in which this occurs. This has allowed toxicologists to probe how EDC exposures in these critical windows can permanently alter the structure and function of the HPG axis. This review includes a discussion of key EDC principles including how latency between exposure and the emergence of consequential health effects can be long, along with a summary of the most common and less well-understood EDC modes of action. Extensive examples of how EDCs are impacting human reproductive health, and evidence that they have the potential for multi-generational physiological and behavioral effects are also provided.

In Vitro Evaluation of Anti-Rift Valley Fever Virus, Antioxidant and Anti-Inflammatory Activity of South African Medicinal Plant Extracts

Rift valley fever virus (RVFV) is a mosquito-borne virus endemic to sub-Saharan African countries, and the first sporadic outbreaks outside Africa were reported in the Asia-Pacific region. There are no approved therapeutic agents available for RVFV; however, finding an effective antiviral agent against RVFV is important. This study aimed to evaluate the antiviral, antioxidant and anti-inflammatory activity of medicinal plant extracts. Twenty medicinal plants were screened for their anti-RVFV activity using the cytopathic effect (CPE) reduction method. The cytotoxicity assessment of the extracts was done before antiviral screening using the MTT assay. Antioxidant and reactive oxygen/nitrogen species' (ROS/RNS) inhibitory activity by the extracts was investigated using non-cell-based and cell-based assays. Out of twenty plant extracts tested, eight showed significant potency against RVFV indicated by a decrease in tissue culture infectious dose (TCID50) < 105. The cytotoxicity of extracts showed inhibitory concentrations values (IC50) > 200 µg/mL for most of the extracts. The antioxidant activity and anti-inflammatory results revealed that extracts scavenged free radicals exhibiting an IC50 range of 4.12-20.41 µg/mL and suppressed the production of pro-inflammatory mediators by 60-80% in Vero cells. This study demonstrated the ability of the extracts to lower RVFV viral load and their potency to reduce free radicals.