• Advances in Traditional Medicine
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• v.9 no.1
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• pp.49-57
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• 2009

The antifertility activity of methanol extract of Cuscuta reflexa Roxb. stem (MECR) and Corchorus olitorius Linn. seed (MECO) were studied on male Swiss albino mice. The extracts were found to decrease sperm count, percentage of motile sperm and testosterone level in treated mice when compared with vehicle control after 17 days of treatment. The weight of gonads, epididymis were decreased whereas no significant changes of the body weight of mice were observed after methanol extract treatments. The fertility test showed 100% negative result in MECR and MECO treated mice at medium and high dose level of treatment. MECR and MECO in low (25 mg/kg and 15 mg/kg, respectively), medium (50 mg/kg and 20 mg/kg, respectively) and high (75 mg/kg and 25 mg/kg, respectively) dose level caused a simultaneous fall in testicular ${\Delta}5$-$3{\beta}$-hydroxy steroid dehydrogenase and glucose-6-phosphate dehydrogenase activities which are involved in testicular steroidogenesis. Total cholesterol and ascorbic acid content in testis were increased significantly in gonads. The activities of lactate dehydrogenase, malic dehydrogenase and ascorbic acid oxidase were reduced whereas that of carbonic anhydrase was increased significantly in the testis of MECR and MECO treated mice. All these observations indicate that the methanol extract of C. reflexa stem and C. olitorius seed produced antifertility activity in sexually matured male mice, which may be due to inhibition of gonadal steroidogenesis. This activity may be attributed due to the presence of flavonoids and steroids, respectively.

• Journal of Life Science
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• v.25 no.11
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• pp.1255-1264
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• 2015

Cnidium officinale, a traditional herb, has diverse beneficial pharmacological activities, such as anti-inflammatory, antioxidant, anticancer, and antiangiogenesis effects. However, the cellular and molecular mechanisms of apoptosis by C. officinale are poorly defined. The present study investigated the proapoptotic effects of water, ethanol, and methanol extract of C. officinale (WECO, EECO, and MECO, respectively) in human leukemia U937 cells. The antiproliferative activity of EECO was higher than that of WECO and MECO. The antiproliferative effect of EECO treatment in U937 cells was associated with the induction of apoptotic cell death, including increased populations of annexin-V positive cells, the formation of apoptotic bodies, DNA fragmentation, and increased numbers of cells with a loss of mitochondrial membrane potential (MMP, Δψm). EECO-induced apoptotic cell death was associated with upregulation of death receptor 4 (DR4) and down-regulation of cellular inhibitor of apoptosis protein-1 (cIAP-1), Bcl-2, and total Bid. The EECO treatment also induced the proteolytic activation of caspases (-3, -8, and -9), and degradation of caspase-3 substrate proteins, such as poly(ADP-ribose) polymerase (PARP), β-catenin, and phospholipase C-γ1 (PLCγ1). In addition, the EECO treatment effectively activated the adenosine monophosphate-activated protein kinase (AMPK) signaling pathway. However, compound C, a specific inhibitor of AMPK, significantly reduced EECO-induced apoptosis. These results indicate that AMPK is a key regulator of apoptosis in response to EECO in human leukemia U937 cells.

• Journal of Microbiology
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• v.42 no.2
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• pp.87-93
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• 2004

Twelve mecoprop-degrading bacteria were isolated from soil samples, and their genetic and phenotypic characteristics were investigated. Analysis of 16S rDNA sequences indicated that the isolates were related to members of the genus Sphingomonas. Ten different chromosomal DNA patterns were obtained by polymerase-chain-reaction (PCR) amplification of repetitive extragenic palindromic (REP) sequences from the 12 isolates. The isolates were found to be able to utilize the chiral herbicide meco-prop as a sole source of carbon and energy. While seven of the isolates were able to degrade both (R)-and (S)-mecoprop, four isolates exhibited enantioselective degradation of the (S)-type and one isolate could degrade only the (R)-enantiomer. All of the isolates were observed to possess plasmid DNAs. When certain plasmids were removed from isolates MPll, MP15, and MP23, those strains could no longer degrade mecoprop. This compelling result suggests that plasmid DNAs, in this case, conferred the ability to degrade the herbicide. The isolates MP13, MP15, and MP24 were identified as the same strain; however, they exhibited different plasmid profiles. This indicates that these isolates acquired dif-ferent mecoprop-degradative plasmids in different soils through natural gene transfer.

• Journal of Electrical Engineering and Technology
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• v.13 no.3
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• pp.1069-1078
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• 2018

Demand response (DR) programs give opportunity to consumers to manage their electricity bills. Besides, distribution system operator (DSO) is interested in using DR programs to obtain technical and economic benefits for distribution network. Since small consumers have difficulties to individually take part in the electricity market, an entity named demand response provider (DRP) has been recently defined to aggregate the DR of small consumers. However, implementing DR programs face challenges to fairly allocate benefits and payments between DRP and DSO. This paper presents a procedure for modeling the interaction between DRP and DSO based on a bilevel programming model. Both DSO and DRP behave from their own viewpoint with different objective functions. On the one hand, DRP bids the potential of DR programs, which are load shifting and load curtailment, to maximize its expected profit and on the other hand, DSO purchases electric power from either the electricity market or DRP to supply its consumers by minimizing its overall cost. In the proposed bilevel programming approach, the upper level problem represents the DRP decisions, while the lower level problem represents the DSO behavior. The obtained bilevel programming problem (BPP) is converted into a single level optimizing problem using its Karush-Kuhn-Tucker (KKT) optimality conditions. Furthermore, point estimate method (PEM) is employed to model the uncertainties of the power demands and the electricity market prices. The efficiency of the presented model is verified through the case studies and analysis of the obtained results.