Traditional zootherapeutic studies in India: a review

The present study aims to review the zootherapeutic practices of the different ethnic communities of India. This work is also an attempt to present a list of animals' use for medicinal purposes by different communities of India. Data were gathered from 15 published research papers of various authors on zootherapeutic studies in India from 2000 to 2007. Approximately 109 animals and their 270 uses are reported in traditional medicine in different parts of India. Of these, the highest numbers of animal species (42, 38.5%) with 50 (18.5%) uses have been reported for the treatment of Respiratory system related problems. Rheumatic and other pains are treated with 32 species (29.4%) in 34 (12.9%) uses. Gastric problems are reported to be treated with 22 (20.2%) species in 26 (9.9%) uses. The mammals constitute the highest number of animals used for medicinal purposes. 44 (40%) mammals, 24 (22%) invertebrates, 18 (17%) birds, 12 (11%) reptiles, nine (8%) fishes and two (2%) amphibians have been reported for medicinal purposes. Of the total 109 animal species reported, 76(70%) are included in IUCN red data list and 36 (33%) animal species are listed in CITES appendix I, II, and III. This work will be helpful in biodiversity conservation in India and also give a clue to investigate bio-active compound in these animal raw materials

Biodiversity, traditional medicine and public health: where do they meet?

Given the increased use of traditional medicines, possibilities that would ensure its successful integration into a public health framework should be explored. This paper discusses some of the links between biodiversity and traditional medicine, and addresses their implications to public health. We explore the importance of biodiversity and ecosystem services to global and human health, the risks which human impacts on ecosystems and biodiversity present to human health and welfare

Congruence of tissue expression profiles from Gene Expression Atlas, SAGEmap and TissueInfo databases

BACKGROUND: Extracting biological knowledge from large amounts of gene expression information deposited in public databases is a major challenge of the postgenomic era. Additional insights may be derived by data integration and cross-platform comparisons of expression profiles. However, database meta-analysis is complicated by differences in experimental technologies, data post-processing, database formats, and inconsistent gene and sample annotation. RESULTS: We have analysed expression profiles from three public databases: Gene Expression Atlas, SAGEmap and TissueInfo. These are repositories of oligonucleotide microarray, Serial Analysis of Gene Expression and Expressed Sequence Tag human gene expression data respectively. We devised a method, Preferential Expression Measure, to identify genes that are significantly over- or under-expressed in any given tissue. We examined intra- and inter-database consistency of Preferential Expression Measures. There was good correlation between replicate experiments of oligonucleotide microarray data, but there was less coherence in expression profiles as measured by Serial Analysis of Gene Expression and Expressed Sequence Tag counts. We investigated inter-database correlations for six tissue categories, for which data were present in the three databases. Significant positive correlations were found for brain, prostate and vascular endothelium but not for ovary, kidney, and pancreas. CONCLUSION: We show that data from Gene Expression Atlas, SAGEmap and TissueInfo can be integrated using the UniGene gene index, and that expression profiles correlate relatively well when large numbers of tags are available or when tissue cellular composition is simple. Finally, in the case of brain, we demonstrate that when PEM values show good correlation, predictions of tissue-specific expression based on integrated data are very accurate