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1.
BMC Complement Med Ther ; 23(1): 100, 2023 Apr 03.
Article in English | MEDLINE | ID: mdl-37013533

ABSTRACT

BACKGROUND: Infectious diseases are a major global public health concern as antimicrobial resistance (AMR) currently accounts for more than 700,000 deaths per year worldwide. The emergence and spread of resistant bacterial pathogens remain a key challenge in antibacterial chemotherapy. This study aims to investigate the antibacterial activity of combined extracts of various Kenyan medicinal plants against selected microorganisms of medical significance. METHODS: The antibacterial activity of various extract combinations of Aloe secundiflora, Toddalia asiatica, Senna didymobotrya and Camelia sinensis against Staphylococcus aureus, Escherichia coli, Pseudomonas aeruginosa, Klebsiella pneumoniae and Methicillin Resistant Staphylococcus aureus was assessed using the agar well diffusion and the minimum inhibitory concentration in-vitro assays. The checkerboard method was used to evaluate the interactions between the various extract combinations. ANOVA test followed by Tukey's post hoc multiple comparison test was used to determine statistically significant differences in activity (P < 0.05). RESULTS: At concentrations of 100 mg/ml (10,000 µg/well), the different combinations of the aqueous, methanol, dichloromethane and petroleum ether extracts of the selected Kenyan medicinal plants revealed diverse activity against all the test bacteria. The combination of methanolic C. sinensis and A. secundiflora was the most active against E. coli (14.17 ± 0.22 mm, diameter of zones of inhibition (DZI); MIC 2500 µg/well). The combination of methanolic C. sinensis and S. didymobotrya was the most active against S. aureus (16.43 ± 0.10 mm; MIC 1250 µg/well), K. pneumonia (14.93 ± 0.35 mm, DZI; MIC 1250 µg/well), P. aeruginosa (17.22 ± 0.41 mm, DZI; MIC 156.25 µg/well) and MRSA (19.91 ± 0.31 mm, DZI; MIC 1250 µg/well). The Minimum Inhibitory Concentration of the different plant extract combinations ranged from 10,000 µg/ well to 156.25 µg/well. The ANOVA test indicated statistically significant differences (P < 0.05) between single extracts and their combinations. The fractional inhibitory concentration indices (FICI) showed that the interactions were either synergistic (10.5%), additive (31.6%), indifferent (52.6%), or antagonistic (5.3%) for the selected combinations. CONCLUSION: This study findings validate the ethnopractice of selectively combining medicinal plants in the management of some bacterial infections in traditional medicine.


Subject(s)
Methicillin-Resistant Staphylococcus aureus , Plants, Medicinal , Staphylococcus aureus , Kenya , Escherichia coli , Anti-Bacterial Agents/pharmacology , Plant Extracts/pharmacology , Bacteria
2.
J Ethnopharmacol ; 175: 463-9, 2015 Dec 04.
Article in English | MEDLINE | ID: mdl-26456346

ABSTRACT

AIM OF THE STUDY: Pastoralist communities such as the Maasai are heavily reliant on traditional foods and medicines. This survey sought to identify traditional foods and/or medicinal plants of the Ilkisonko Maasai community living in Kenya. MATERIALS AND METHODS: Ethnobotanical knowledge of traditional plants used as food and human/veterinary medicine was obtained using structured and semi-structured questionnaires administered through face to face interviews of key informants. RESULTS: A total of 30 species from 21 families and 25 genera were reportedly used as food and/or medicine by 48 respondents. The most commonly encountered genus was the Fabaceae. The growth forms encountered were tree (47%), shrub (33%) and herb (20%). Plants that were commonly mentioned by respondents were Salvadora persica (85%), Grewia villosa (52%), Ximenia americana (52%), Albizia anthelmintica (50%), Acacia robusta (46%) and Acacia nilotica (42%). The root/root bark was the most commonly used plant part (35%), followed by the stem/stem bark (30%), fruit (15%), leaves (11%) and whole plant (9%). Common ailments treated were stomach aches, constipation, back aches, joint aches, body pains and sexually transmitted infections. The plants were also used as tonics, digestives, and restoratives. CONCLUSION: It was evident that traditional medicine was the preferred health care system for the Ilkisonko Maasai community. It is important to document and use this knowledge in producing novel products that could improve nutrition and healthcare in rural communities.


Subject(s)
Medicine, African Traditional , Plants, Edible , Plants, Medicinal , Adult , Aged , Ethnobotany , Humans , Kenya , Male , Middle Aged , Phytotherapy , Residence Characteristics , Surveys and Questionnaires
3.
Biochem Cell Biol ; 90(5): 613-20, 2012 Oct.
Article in English | MEDLINE | ID: mdl-22812431

ABSTRACT

Obesity and osteoporosis have grave consequences for human health, quality of life, and even the efficiency of the labor force. Interestingly, these diseases share several features including a genetic predisposition and a common progenitor cell. Recent findings show that high adipocyte count in bone marrow is directly related to bone loss, as fat cells replace osteoblasts resulting in reduced bone mineral density and increased propensity towards osteoporosis. This close relationship has a positive aspect, whereby higher osteocalcin levels results in increased adiponectin production while the presence of adiponectin influences osteoblast proliferation and differentiation in a positive way. We focus on how osteoblasts and adipocytes affect each other and ultimately insulin resistance through the hormones they produce. This approach to whole animal physiology is the main stay of Alternative Medicine. It is assumed that the body is linked together intricately, and treating one is equal to treating the whole body. As we go further into bone and adipocytes physiology, it is evident that these organs affect each other. Therefore, elucidation on the actions of fat on bone and vice versa will unravel the complex mechanism of insulin resistance.


Subject(s)
Adiponectin/metabolism , Insulin Resistance , Osteocalcin/metabolism , Adipocytes/cytology , Adipocytes/metabolism , Animals , Bone Morphogenetic Protein 2/metabolism , Cell Differentiation , Cell Proliferation , Humans , Osteoblasts/cytology , Osteoblasts/metabolism , PPAR gamma/metabolism
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