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Surendranagar, India

Shaikh R.U.,Poona College | Shaikh R.U.,Swami Ramanand Teerth Marathwada University | Pund M.M.,Indira Gandhi Sr College | Gacche R.N.,Swami Ramanand Teerth Marathwada University
Journal of Traditional and Complementary Medicine | Year: 2015

The present study was carried out to evaluate invivo and invitro anti-inflammatory potential of selected medicinal plants used in Indian traditional medication. The sequentially extracted plant samples as, Cissus quadrangularis, Plumbago zeylanica, Terminalia bellarica and Terminalia chebula in water, ethanol and hexane were evaluated in-vitro for COX-1 and 2 inhibitory and antioxidant activities. The invivo anti-inflammatory activity of selected samples showing promising COX-2 inhibition was assessed using carrageenan and Phorbol Myristate Acetate (PMA) induced mice edema animal model. The results obtained reveals that most of the plants were found to inhibit COX-2 activity as compared to COX-1. It was observed that the extracts of T.bellarica (73.34 %) and T.chebula (74.81 %) showed significant COX-2 selective inhibition as compared to other samples. The ethanol extract of the selected plants demonstrated effective DPPH, OH and superoxide radical scavenging activity. Invivo anti-inflammatory study shows that, T.bellarica and T.chebulla had a significant impact on inhibition of edema formation. The cytotoxicity evaluation study of ethanolic fraction of selected medicinal plants indicates that the selected samples have no effect on cell viability. HPTLC fingerprint of flavonoids of the selected samples was also prepared as a measure of quality control. The results obtained may be useful in strengthening the standardization of the selected botanicals. Moreover the selected plants can be considered as a resource for searching novel anti-inflammatory agents possessing COX-2 inhibition. © 2015 Center for Food and Biomolecules, National Taiwan University.

Masand V.H.,Vidya Bharati College | Mahajan D.T.,Vidya Bharati College | Nazeruddin G.M.,Poona College | Hadda T.B.,University Mohammed Premier | And 2 more authors.
Medicinal Chemistry Research | Year: 2015

Quantitative Structure-Activity Relationship not only provides guidelines regarding structural features responsible for biological activity but it can be used also for prediction of desired activity prior to synthesis of untested chemicals. Therefore, an appropriate validation of any QSAR is of utmost importance to judge its external predictive ability. Generally, internal and external validations (preferred by many) are used in the absence of a true external dataset. The model developed using external method may not be reliable as it may not capture all essential features required for the particular SAR due to omission of some compounds, especially for small datasets. In external validation, the splitting is done either rationally or in random manner before descriptor selection. In the present study, rational splitting of dataset was performed using a novel method and its effect on statistical parameters was analyzed. The analysis reveals that the predictive ability of a QSAR model is sensitive toward (1) the method of splitting and (2) distribution of the training and the prediction sets. In addition, purposeful selection can be used to influence the statistical parameters; therefore, external validation based on single split is insufficient to guarantee the true predictive ability of a QSAR model. Besides, it appears that the selection of descriptors prior to splitting (information leakage) has little role to play in deciding external predictivity of the model. The present study reveals that as many as possible statistical parameters should be examined along with boot-strapping instead of single external validation. © 2014 Springer Science+Business Media New York.

Sayadi M.H.,University of Pune | Sayyed M.R.G.,Poona College | Kumar S.,University of Pune
Environmental Monitoring and Assessment | Year: 2010

In modern civilization, numerous anthropogenic activities release a variety of pollutants into the environment and with anomalous enrichment of heavy metals it causes surface and subsurface contamination. The aquatic sediments provide pertinent tools for the quality assessment of urban and industrial environments in large cities. The present study reveals short-term accumulative trends of heavy metals (Co, Cd, and Pb) in the sand and silt dominated riverbed sediments from Chitgar industrial area (Tehran, Iran) between the period of May 2007 and May 2008. Lead demonstrates highest concentration in residential areas, cadmium in and around industrial areas, whereas cobalt shows least variability. Geo-accumulation index implies moderately to highly polluted sediments with respect to Cd and Pb. With few exceptions, all three metals at different sampling stations display short-term increasing trends, independent of seasonal variability with urban and industrial distends along the river being the chief sources of contamination. © 2009 Springer Science+Business Media B.V.

Shaikh R.,Swami Ramanand Teerth Marathwada University | Shaikh R.,Poona College | Pund M.,Swami Ramanand Teerth Marathwada University | Dawane A.,Swami Ramanand Teerth Marathwada University | Iliyas S.,Poona College
Journal of Traditional and Complementary Medicine | Year: 2014

The present study was carried out to evaluate the anticancer, antioxidant, and possible anti-inflammatory properties of diverse medicinal plants frequently used in Indian traditional medication. The selected botanicals such as Soymida fembrifuga (Roxb.) A. Juss. (Miliaceae), Tinospora cordifolia (Willd.) Miers. (Menispermaceae), Lavandula bipinnata (L.) O. Ktze. (Lamiaceae), and Helicteres isora L. (Sterculiaceae) extracted in different solvents were evaluated for their in vitro anticancer and antioxidant activities. The results obtained indicate that H. isora has potent cytotoxic activity toward the selected cancer cells such as HeLa-B75 (34.21 ± 0.24%), HL-60 (30.25 ± 1.36%), HEP-3B (25.36 ± 1.78%), and PN-15 (29.21 ± 0.52%). Interestingly, the selected botanicals selectively inhibited cyclooxygenase-2 (COX-2) more than (COX-1), which are the key enzymes implicated in inflammation. COX-2 inhibition was observed to be in the range of 19.66-49.52% as compared to COX-1 inhibition (3.93-19.61%). The results of the antioxidant study revealed that the selected plants were found to be effective 1,1-diphenyl-2-picrylhydrazyl (DPPH), hydroxyl (OH), and superoxide radical (SOR) scavenging agents. High-performance thin layer chromatography (HPTLC) fingerprint of flavonoids was used as a measure of quality control of the selected plant samples. The results of the present findings strengthen the potential of the selected plants as a resource for the discovery of novel anticancer, anti-inflammatory, and antioxidant agents.

Sayadi M.H.,University of Pune | Sayyed M.R.G.,Poona College
Environmental Earth Sciences | Year: 2011

Industrial soil systems have become complex due to human activities, as they disturb the natural development of soil and add hazardous elements. Hence, there is a growing public concern over the accumulation of heavy metals in soil due to the rapid industrial development during the last decade in Iran. The objectives of the present study are to carry out comparative assessment of the heavy metals in soils of the Chitgar Industrial Area Tehran (Iran) with average world guidelines and to evaluate enrichment and normalized scatter coefficient. In this work the concentrations of seven heavy metals (Cr, Co, Cd, Cu, Pb, Ni and Zn) from the surface soils of the industrial area were quantified, based on 210 samples collected from 70 sampling stations in three consecutive seasons May 2007, November 2007 and May 2008 using 0.5 × l Km square mesh. Common comparison methods were employed to assess the quality of soils and guideline values were used to represent a desired level of elements. Comparison variables and enrichment factor showed that Pb has high-level value while normalized scatter coefficient demonstrates that Cd increases in soils more rapidly as compared to other elements. This study revealed that normalized scatter coefficient can be effectively used to evaluate soil pollution and is independent of the past. © 2010 Springer-Verlag.

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