Zootherapy as traditional therapeutic strategy in the Cholistan desert of Bahawalpur-Pakistan.

The use of traditional medicines has tremendously increased over the past few decades. Approximately 80% of the world's population relies on traditional medicines for their primary healthcare needs because of their cost effectiveness and efficiency with no or minimal side effects. Zootherapy refers to the use of medicines that are prepared or derived from animals or from their products. The current study documented the folk knowledge related to the practice of various animal-derived products and ethnozoological based drugs used as medicines by the residents of the Cholistan desert of Bahawalpur (Pakistan). In this regard 46 knowledgeable and reliable elderly people, hakims and spiritual healers ranging from 35-60 years of age having knowledge related to zootherapy were included in the current study. A field survey from February 2006 to November 2007 was conducted by interviewing the selected respondents through a structured questionnaire. They provided knowledge regarding the use of animals and their derived products in traditional medicine. The zootherapeutic knowledge was based on both domestic animals as well as wild animals. A total of 20 animal species were included in the study, among which nine animals were domestic while 11 were wild animals. Among selected animals, nine were mammals, four birds, four reptiles and three insects. It was reported that camel was the most commonly used (n = 32 respondents) among mammals while Pigeon (n = 39 respondents), Spiny-tailed lizard (n = 41 respondents) and Indian honey bee (n = 27 respondents) among birds, reptiles and insects, respectively, have significant use for the treatment of different diseases. Based on this communication we could recommend that this type of abandoned knowledge should be considered for the management and conservation of faunistic resources. However, the advantageous role of animals and their products was reported but more extensive research is required to explore the bioactive constituents in the raw material of these animals responsible for their beneficial effects.

Light and scanning electron microscopy of Datura stramonium L. extract and its biological applications.

The study deals with the LM and SEM (light microscopy and scanning electron microscopy) of Datura stramonium L. extract and to evaluate its phytochemical, antimicrobial, and antioxidant activities. The plant sample collected from different Lahore region was dried under shade. The plant extract was prepared using different solvents (n-hexane, chloroform, ethyl acetate, and methanol). Phytochemical screening performed qualitatively for alkaloids, carbohydrates, flavonoids, saponins, and tannins. Radical scavenging potential of plant extracts was estimated and ethyl acetate extract exhibited maximum percentage scavenging ability of 92.2 ± 0.09. Total antioxidant capacity of different extracts was measured by phosphomolybdate method. The ethyl acetate and methanolic extracts showed maximum values of 72.3 ± 0.08% and 79 ± 0.15% with respect to gallic acid. Total phenolic contents were determined through Folin-Ciocalteau method and highest value of 495.2 ± 3.4 was obtained by methanolic extract. DPPH-TLC autography was used for the visual detection of antioxidant compounds in different plant extracts. Antibacterial activity of plant extract was measured by disc diffusion method against microorganisms named Bacillus licheniformis, Bacillus subtilis (Gram positive), and Salmonella typhimurium, and Proteus mirabilis (Gram negative). Because of the vast medicinal importance of D. stramonium L. it would be beneficial to study LM and SEM for correct identification of plant and to determine phytochemicals. RESEARCH HIGHLIGHTS: LM and SEM (light microscopy and scanning electron microscopy) of Datura stramonium L. was studied for the exact identification of plant. To evaluate the biological activities of pharmaceutically important plant. Antioxidant and antimicrobial activity were determined. D. stramonium L. proved to be medicinally important plant.

Therapeutic potential of herbal medicine for the management of hyperlipidemia: latest updates.

Hyperlipidemia, the most common form of dyslipidemia, is the main source of cardiovascular disorders, characterized by elevated level of total cholesterol (TC), triglycerides (TG) and low-density lipoprotein cholesterol (LDL-C) with high-density lipoprotein cholesterol (HDL-C) in peripheral blood. It is caused by a defect in lipid metabolism in the surface of Apoprotein C-II or a defect in lipoprotein lipase activity as well as reported in genetic, dietary and environmental factors. Several electronic databases were investigated as information sources, including Google Scholar, PubMed, Web of Science, Scopus, ScienceDirect, SpringerLink, Semantic Scholar, MEDLINE and CNKI Scholar. The current review focused on the risk factors of dyslipidemia, synthetic medication with their side effects and different types of medicinal plants having significant potential for the management of hyperlipidemia. The management of hyperlipidemia mostly involves a constant decrease in lipid level using different remedial drugs like statin, fibrate, bile acid sequestrates and niacin. However, this extensive review suggested that the consequences of these drugs are arguable, due to their numerous adverse effects. The selected parts of herb plants are used intact or their extracts containing active phytoconstituents to regulate the lipids in blood level. It was also noted that the Chinese herbal medicine and combination therapy is promising for the lowering of hyperlipidemia. This review intends to provide a scientific base for future endeavors, such as in-depth biological and chemical investigations into previously researched topics.

Effect of probiotics and gut microbiota on anti-cancer drugs: Mechanistic perspectives.

Bacteria present in probiotics, particularly the common Lactobacillus and Bifidobacterium microbes, have been found to induce anti-cancer action by enhancing cancer cell apoptosis and protecting against oxidative stress. Probiotics supplements also decrease the cancer-producing microorganism Fusobacterium. Studies have demonstrated that gut microbiota modifies the effect of chemo/radiation therapy. Gut microbes not only enhance the action of chemotherapy drugs but also reduce the side effects of these medications. Additionally, gut microbes reduce immunotherapy toxicity, in particular, the presence of Bacteroidetes or Bifidobacterium decreases the development of colitis by ipilimumab therapy. Probiotics supplements containing Bifidobacterium also reduce chemotherapy-induced mucositis and radiation-induced diarrhea. This review focused on elucidating the mechanism behind the anti-cancer action of Bifidobacterium species. Available studies have revealed Bifidobacterium species decrease cancer cell proliferation via the inhibition of growth factor signaling as well as inducing mitochondrial-mediated apoptosis. Moreover, Bifidobacterium species reduce the adverse effects of chemo/immuno/radiation therapy by inhibiting proinflammatory cytokines. Further clinical studies are needed to identify the powerful and suitable Bifidobacterium strain for the development of adjuvant therapy to support chemo/immuno/radiation therapy.

Flavonoids and Other Polyphenols Act as Epigenetic Modifiers in Breast Cancer.

Breast cancer is a common cancer that occurs due to different epigenetic alterations and genetic mutations. Various epidemiological studies have demonstrated an inverse correlation between breast cancer incidence and flavonoid intake. The anti-cancer action of flavonoids, a class of polyphenolic compounds that are present in plants, as secondary metabolites has been a major topic of research for many years. Our review analysis demonstrates that flavonoids exhibit anti-cancer activity against breast cancer occurring in different ethnic populations. Breast cancer subtype and menopausal status are the key factors in inducing the flavonoid's anti-cancer action in breast cancer. The dose is another key factor, with research showing that approximately 10 mg/day of isoflavones is required to inhibit breast cancer occurrence. In addition, flavonoids also influence the epigenetic machinery in breast cancer, with research demonstrating that epigallocatechin, genistein, and resveratrol all inhibited DNA methyltransferase and altered chromatin modification in breast cancer. These flavonoids can induce the expression of different tumor suppressor genes that may contribute to decreasing breast cancer progression and metastasis. Additional studies are required to confirm the contribution of epigenetic modifications by flavonoids to breast cancer prevention.

Ex-vivo antihypertensive and calcium channel blocking activity of Androsace foliosa n-hexane leaves fraction on isolated rabbit aorta.

Hypertension is persistent elevation in blood pressure for 3-4 weeks. Estimated global prevalence of hypertension suggested that by the Year 2025 (29%) of adult worldwide are suffering from hypertension (1.56 billion). Hypertension complications are hemorrhage, atherosclerosis, renal artery stenosis, angina pectoris end organ damage, cardiomyopathy, myocardial infarction and retinopathy. Along with other drug class Calcium channel blocker are also used for the treatment of hypertension. In this study the possible action of the n-hexane leaves fraction of the Androsace foliosa on isolated rabbit aorta was examined. Antihypertensive activity was examined in the existence of standard agonist like phenylephrine and antagonist like Verapamil. Phenylephrine (PE 1µM) high K+ was used to steady the tissue materials. Additionally to observe the calcium channel blocking effect the tissues were treated with n-hexane segment of A. foliosa leaves. Aortic tissues were treated 4-5intervals with Ca+2- free preparation earlier to control calcium reaction curve (CRCs). Verapamil is utilized as standard calcium channel inhibitory mediator and is used as an antagonist. The Af. n-hexane leaves fraction completely inhibited the precontractions induced by Phenylephrine (1µM) and K+ (80 mM) precontractions, with EC50 standards of 1.0mM (0.3-1.0mg/mL) and 4.90mM (1-3mg/mL), respectively. Androsace foliosa n-hexane leaves fraction was tested for calcium channel inhibitory effect on isolated rabbit aorta. A. foliosa n- hexane leaves segment at the dosage of 1mg/mL block the calcium channel approximately (35±5%). Consequence indicates that A. foliosa n-hexane leaves segment block calcium channel in the similar manner as compared to the standard calcium channel blocker drug (verapamil).

Alginate-polyvinyl alcohol based interpenetrating polymer network for prolonged drug therapy, Optimization and in-vitro characterization.

A new natural and synthetic polymeric blend to form interpenetrating polymer network (IPN) hydrogels was synthesized utilizing sodium alginate and PVA as polymers by free radical polymerization employing 2-Acylamido-2-methylpropane-sulfonic acid as monomer (AMPS) and tramadol HCl as model drug through 32 level full factorial design to evaluate the impact of selected independent factors i.e. polymer (sodium alginate) and monomer (AMPS) contents on swelling index at 18th hour, percent drug release at 18th hour, time required for 80% drug release and drug entrapment efficiency as dependent variables. FTIR, SEM, sol-gel analysis, equilibrium swelling studies and in-vitro release kinetics were performedfor in-vitro characterization of formulated IPN hydrogels. In-vitro studies carried out at pH 1.2 and pH 7.4 revealed pH independent swelling and drug release from polymeric IPN, providing controlled drug release for an extended period of time with improved entrapment efficiency, thereby concluding that this polymeric blend may be a promising system for the prolonged drug delivery.

Evaluation of Hormone Receptor Status (ER/PR/HER2-neu) in Breast Cancer in Pakistan.

OBJECTIVE: To evaluate the biological markers that are commonly assessed in breast cancer to estimate a patient's response to endocrine therapy and their prognosis for better clinical outcomes. METHODS: The retrospective study was conducted at Bahawalpur Institute of Nuclear Oncology and comprised record of early breast cancer patients who gave positive diagnostic tests for hormone receptors status i.e. immunohistochemical test and were treated during 2007-2013. Data of oestrogen, progesterone and human epidermal growth factor receptor 2 expression status was analysed. SPSS 12 was used for statistical analysis. RESULTS: Overall record of 345 patients was studied of whom 149(43%) were identified to have positive hormone receptor status.. The age of the patients ranged from 24 to 86 years with 97(65%) in 25-50 years, 46(30.8%) 51-75 years and 6(4.08%)in 76-100 years. Besides, 76(51%) patients had carcinoma of right breast; 86(58%) were diagnosed as Stage III, 55(37%) Stage II and 8(5.3%) Stage IV. Those diagnosed with oestrogen receptor (positive status) were 16(10.7%), human epidermal growth factor receptor 2 over-expression 13(8.7%), oestrogen/progesterone hormone receptor positivity (or luminal A) 76(51%) and 35(23.4%) patients were positive for all the three receptors. CONCLUSIONS: About half of the patients were diagnosed with a positive hormone status and it was observed that in most of the cases disease was metastasised to distant organs.

Global optimization ensemble model for classification methods.

Supervised learning is the process of data mining for deducing rules from training datasets. A broad array of supervised learning algorithms exists, every one of them with its own advantages and drawbacks. There are some basic issues that affect the accuracy of classifier while solving a supervised learning problem, like bias-variance tradeoff, dimensionality of input space, and noise in the input data space. All these problems affect the accuracy of classifier and are the reason that there is no global optimal method for classification. There is not any generalized improvement method that can increase the accuracy of any classifier while addressing all the problems stated above. This paper proposes a global optimization ensemble model for classification methods (GMC) that can improve the overall accuracy for supervised learning problems. The experimental results on various public datasets showed that the proposed model improved the accuracy of the classification models from 1% to 30% depending upon the algorithm complexity.