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Patel, M. B.
- Assessment of Anti-oxidant and Wound Healing Potential of Eclipta alba, Centella asiatica and their Ombination with Piper nigrum
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PDF Views:565
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Journal of Natural Remedies, Vol 9, No 1 (2009), Pagination: 21-26Abstract
An attempt was made in the present studies, to arrive at some convincing correlation between the anti oxidant and wound healing potential of methanol extracts of Eclipta alba (ME), and Centella asiatica (MC), individually, and in presence of methanol extract of Piper nigrum (MP), as Eclipta alba and Piper nigrum (ME + MP), Centella asiatica and Piper nigrum (MC + MP), and in combination of Eclipta alba, Centella asiatica and Piper nigrum (ME + MC + MP) using albino rats. The significant results have justified the traditional use of these plants. The combinations of methanol extract of Piper nigrum significantly enhanced both anti-oxidant and wound healing potential of the test extracts suggesting its role as bio activity enhancer.Keywords
Methanol Extract, Eclipta Alba, Centella Asiatica, Piper Nigrum, Anti-oxidant Activity, Wound HealingFull Text
- Toxicity of some Commonly Used Insecticides/Herbicides on Zygogramma bicolorata Pallister (Coleoptera: Chrysomelidae)
Abstract Views :248 |
PDF Views:166
Authors
Affiliations
1 Biocontrol Laboratory, Department of Entomology, N. M. College of Agriculture, Navsari Agricultural University, Navsari 396 450, Gujarat, IN
2 Department of Entomology, N. M. College of Agriculture, Navsari Agricultural University, Navsari 396 450, Gujarat, IN
3 Reliance India Ltd., Jamnagar, Gujarat, IN
1 Biocontrol Laboratory, Department of Entomology, N. M. College of Agriculture, Navsari Agricultural University, Navsari 396 450, Gujarat, IN
2 Department of Entomology, N. M. College of Agriculture, Navsari Agricultural University, Navsari 396 450, Gujarat, IN
3 Reliance India Ltd., Jamnagar, Gujarat, IN
Source
Journal of Biological Control, Vol 26, No 3 (2012), Pagination: 251-254Abstract
Study on relative toxicity of different insecticides/ herbicides on grubs and adults of Zygogramma bicolorata revealed that chlorpyriphos 0.05 per cent, atrazine 1 kg a.i. per ha, thiomethoxam 0.005 per cent, glyphosate 1 kg a.i. per ha, metribuzin 1 kg a.i. per ha and imidacloprid 0.005 per cent were most toxic to the grubs and adults. Endosulfan 0.075 per cent were moderately toxic to the grubs and adults and dimethoate 0.03 per cent was found moderately toxic to the adults. Moreover, 2, 4-D sodium salt 1 kg a.i. per ha was found to be least toxic to the larvae and adults of Z. bicolorata.Keywords
Zygogramma bicolorata, Insecticides, Herbicides, Toxicity.Full Text
References
- Anonymous. 2010. Biological Control of Parthenium. Directorate of Weed Science Research, Jabalpur, Madhya Pradesh, India, pp. 1–4.
- Jayanth KP, Bali G. 1993. Effect of some commonly used weedicides on the parthenium beetle Zygogramma bicolorata Pallister. J Biol Control, 7(1): 53–56.
- Varshney JG, Kumar S. 2010. Parthenium: Converting the curse to boon. Proceedings of the Third International Conference on Parthenium, December 8-10, Indian Agricultural Research Institute, New Delhi, India.
- Toxicogenomics: A Review
Abstract Views :218 |
PDF Views:1
Authors
Affiliations
1 Department of Clinical Pharmacy, Sri Sarvajanik Pharmacy College, Mehsana- 384001, IN
2 L.M. College of Pharmacy, Ahmedabad, Gujarat, IN
1 Department of Clinical Pharmacy, Sri Sarvajanik Pharmacy College, Mehsana- 384001, IN
2 L.M. College of Pharmacy, Ahmedabad, Gujarat, IN
Source
Research Journal of Pharmacology and Pharmacodynamics, Vol 2, No 2 (2010), Pagination: 131-140Abstract
Toxicogenomics is a rapidly developing discipline that promises to aid scientists in understanding the molecular and cellular effects of chemicals in biological systems. This field encompasses global assessment of biological effects using technologies such as DNA microarrays or high throughput NMR and protein expression analysis.
Toxicogemomics is the evolving science which measures the global gene expression changes in biological samples exposed to toxic agents and investigates the complex interaction between the genetic variability and environmental exposures on toxicological effects. DNA microarrays have become most popular and important method to measure the expression of mRNA level offering great potential for environmental or toxicological studies. Gene expression changes can possibly provide more sensitive, immediate, comprehensive maker of toxicity than typical toxicological endpoints such as morphological changes, carcinogenicity, and reproductive toxicity. In this regards, toxicogenomics includes genomicscale mRNA expression (transcriptomics), cell and tissue-wide protein expression (proteomics), metabolite profiling (metabonomics), and bioinformatics. These studies can be grouped as ''-omics'' study, which could be applied to various kinds of samples and species.
Keywords
Toxicogenomics, Microarray, Proteomics.
References
- Hisham K.H, Rupesh P.A, Richard SP, et al A, An Overview of Toxicogenomics, Curr. Issues Mol. Biol. (2002) 4: 45-56.
- John B ,. Triola D.Y, Toxicogenomics: Harnessing the Power of New Technology, 21: 87-97.
- Sambrook, J., Fritsch, E.F., and Maniatis, T. 1989. Molecular Cloning, A Laboratory Manual, Second Edition. Cold Spring Harbor Laboratory Press.
- DeRisi, J., Penland, L., Brown, P.O., et al. 1996. Use of a cDNA microarray to analyse gene expression patterns in human cancer [see comments]. Nat. Genet. 14: 457-460.
- Lockhart, D.J., Dong, H., Byrne, M.C.,et al Expression monitoring by hybridization to high-density oligonucleotidearrays. Nat. Biotechnol. 14: 1675-1680.
- Schena, M., Shalon, D., Davis, R.W., and Brown, P.O. 1995. Quantitative monitoring of gene expression patterns with a complementary DNA microarray. Science. 270: 467-470.
- http://www.niehs.nih.gov/multimedia/qt/ntc/ntcaltcaption.mov
- Kreuzer, K.A., Lass, U., Bohn, A., Landt, et al. 1999. Light Cycler technology for the quantitation of bcr/abl fusion transcripts. Cancer Res. 59: 3171-3174.
- Walker, N.J. 2001. Real-time and quantitative PCR: applications to mechanism-based toxicology. J. Biochem. Mol. Toxicol. 15: 121-127.
- K.-M. Lee et al. / Toxicology and Applied Pharmacology 207 (2005) S200- S208
- Waring, J.F., Ciurlionis, R., Jolly, R.A., Heindel, M. et al. 2001. Microarray analysis of hepatotoxins in vitro reveals a correlation between gene expression profiles and mechanisms of toxicity. Toxicol Lett. 120: 359- 368.
- Hamadeh, H.K., Bushel, P., Jayadev, S. et al. Gene expression analysis reveals chemicalspecific profiles. Toxicol. Sci. cross ref.
- Waring, J.F., Jolly, R.A., Ciurlionis, R. et al. Clustering of hepatotoxins based on mechanism of toxicity using gene expression profiles. Toxicol. Appl. Pharmacol. 175: 28- 42.
- Hamadeh, H.K., Bushel, P., Jayadev, S. et al. Prediction of compound signature using high density gene expression profiling. Toxicol. Sci. cross ref.
- Eisen, M.B., Spellman, P.T., Brown, P.O. et al. Cluster analysis and display of genome-wide expression patterns. Proc. Natl. Acad. Sci. USA. 95: 14863-14868.
- Johnson, R.A. and Wichern, D.W. 1998. Applied Multivariate Statistical Analysis. 4th ed. Prentice-Hall, Upper Saddle River, NJ. Jonic, S., Jankovic, T., Gajic, V., and Popovic, D. 1999. Three machine learning techniques for automatic determination of rules to control locomotion. IEEE Trans.Biomed. Eng, 46: 300-310.
- Solberg, H.E. 1978. Discriminant analysis. CRC Crit. Rev. Clin. Lab. Sci. 9: 209-242.
- Neter, J., M.H. Kutner, M.H., Nachtsheim, C.J., and Wasserman, W. 1996. Applied Linear Statistical Models. 4th ed. Irwin Press, Chicago.
- Bulera, S.J., Eddy, S.M., Ferguson, E. et al . RNA expression in the early characterization of hepatotoxicants in wister rats by high-density DNAmicroarrays. Hepatology. 33: 1239-1258.
- Hamadeh, H.K., Bushel, P., Jayadev, S. et al. Prediction of compound signature using high density gene expression profiling. Toxicol. Sci. cross ref.
- Tennant. R.W. The National Center for Toxicogenomics: Using new technologies to inform mechanistic toxicology. Environ. Health Perspectives. Cross ref..
- Huang, Q., Dunn, R.T., Jayadev, S. et al. Assessment of cisplatin-induced nephrotoxicity by microarray technology. Toxicol. Sci. 63: 196-207.
- John B ,. Triola D.Y, Toxicogenomics: Harnessing the Power of New Technology, 21: 87-97
- Roger Ulrich and Stephen H. Friend "Toxicogenomics and drug discovery: will new technologies help us produce better drugs?", Jan 2002, Vol 1, Nature Reviews, Drug Discovery.
- Nicholson et al., Nature Reviews Drug Discovery2002 Feb;1(2):153-61.
- Robertson, D.G., Reily, M.D., Sigler, R.E. et al. Metabonomics: evaluation of nuclear magnetic resonance (NMR) and pattern recognition technology for rapid in vivo screening of liver and kidney toxicants. Toxicol. Sci. 57: 326-337.
- Holmes, E., Caddick, S., Lindon, J.C. et al. 1995. 1H and 2H NMR spectroscopic studies on the metabolism and biochemical effects of 2-bromoethanamine in the rat. Biochem. Pharmacol. 49: 1349-1359.
- Emmert-Buck, M.R., Bonner, R.F., Smith, P.D. et al 1996. Laser capture microdissection. Science. 274: 998-1001.
- Hamadeh, H.K., Bushel, P., Tucker, C.J. et al 2002a. Detection of diluted gene expression alterations using cDNA microarrays. Biotechniques. Cross ref
- Churchill, G.A. 2002. Fundamentals of experimental design for cDNA microarrays. Nat. Genet. 32(Suppl.):490-495.
- Simon, R., M.D. Radmacher, and K. Dobbin. 2002. Design of studies using DNA microarrays. Genet. Epidemiol. 23(1):21-36.
- Simon, R., M.D. Radmacher, K. Dobbin, and L.M. McShane. 2003. Pitfalls in the use of DNA microarray data for diagnostic and prognostic classification. J. Natl. Cancer.Inst. 95(1):14-18.
- Wagner, J.A. 2002. Overview of biomarkers and surrogate endpoints in drug development. Dis. Markers 18(2):41-46.
- van Leeuwen, A., P.I. Schrier, M.J. Giphart, et al 1986. TCA: A polymorphic genetic marker in leukemias and melanoma cell lines. Blood 67(4):1139-1142.
- Kim, J.Y., J. Kwon, J.E. Kim, et al 2005. Identification of potential biomarkers of genotoxicity and carcinogenicity in L5178Y mouse lymphoma cells by cDNA microarray analysis. Environ. Mol. Mutagen. 45(1):80-89.
- Sawada, H., K. Takami, and S. Asahi. 2005. A toxicogenomic approach to drug-induced phospholipidosis: Analysis of its induction mechanism and establishment of a novel in vitro screening system. Toxicol. Sci. 83(2):282-292.
- Amin, R.P., A.E. Vickers, F. Sistare, et al 2004. Identification of putative gene based markers of renal toxicity. Environ. Health Perspect. 112(4):465-479.
- Searfoss, G.H., Jordan, W.H., Calligaro, D.O, et al 2003. Adipsin, aBiomarker of Gastrointestinal Toxicity Mediated by a unctional -Secretase Inhibitor.J. Biol. Chem. 278:46107- 46116.
- Koskinen, H., P. Pehkonen, E. Vehniainen, et al 2004. Response of rainbow trout transcriptome to model chemical contaminants. Biochem. Biophys. Res. Commun. 320(3):745- 753.
- Gray, J.P., T.L. Leas, E. et al. 2003. Evidence of aryl hydrocarbon receptor ligands in Presque Isle Bay of Lake Erie. Aquat. Toxicol. 64(3):343-358.