Draft Genome Sequence of the First Isolate of Extensively Drug-Resistant (XDR) Mycobacterium Tuberculosis in Malaysia.
Draft Genome Sequence of the First Isolate of Extensively Drug-Resistant (XDR) Mycobacterium tuberculosis in Malaysia.
Filed under: Drug and Alcohol Rehabilitation
Genome Announc. 2013 Jan; 1(1):
Ng KP, Yew SM, Chan CL, Chong J, Tang SN, Soo-Hoo TS, Na SL, Hassan H, Ngeow YF, Hoh CC, Lee KW, Yee WY
The emergence of the global threat of extensively drug-resistant (XDR) Mycobacterium tuberculosis reveals weaknesses in tuberculosis management and diagnostic services. We report the draft genome sequence of the first extensively drug-resistant Mycobacterium tuberculosis strain isolated in Malaysia. The sequence was also compared against a reference strain to elucidate the polymorphism that is related to their extensive resistance.
HubMed – drug
Draft Genome Sequences and Annotation of Enterococcus faecium Strain LCT-EF20.
Filed under: Drug and Alcohol Rehabilitation
Genome Announc. 2013 Jan; 1(1):
Chang D, Zhu Y, Chen J, Fang X, Li T, Wang J, Guo Y, Su L, Xu G, Wang Y, Chen Z, Liu C
The space environment is reported to cause biological alterations in microorganisms, such as growth, drug resistance, and virulence. Here, we present the model of Enterococcus faecium to investigate the effects of space conditions on the microbe and on the whole-genome sequences of the strain LCT-EF20 after being exposed to space flight.
HubMed – drug
Identification of PPARgamma Partial Agonists of Natural Origin (II): In Silico Prediction in Natural Extracts with Known Antidiabetic Activity.
Filed under: Drug and Alcohol Rehabilitation
PLoS One. 2013; 8(2): e55889
Guasch L, Sala E, Mulero M, Valls C, Salvadó MJ, Pujadas G, Garcia-Vallvé S
Natural extracts have played an important role in the prevention and treatment of diseases and are important sources for drug discovery. However, to be effectively used in these processes, natural extracts must be characterized through the identification of their active compounds and their modes of action.From an initial set of 29,779 natural products that are annotated with their natural source and using a previously developed virtual screening procedure (carefully validated experimentally), we have predicted as potential peroxisome proliferators-activated receptor gamma (PPAR?) partial agonists 12 molecules from 11 extracts known to have antidiabetic activity. Six of these molecules are similar to molecules with described antidiabetic activity but whose mechanism of action is unknown. Therefore, it is plausible that these 12 molecules could be the bioactive molecules responsible, at least in part, for the antidiabetic activity of the extracts containing them. In addition, we have also identified as potential PPAR? partial agonists 10 molecules from 16 plants with undescribed antidiabetic activity but that are related (i.e., they are from the same genus) to plants with known antidiabetic properties. None of the 22 molecules that we predict as PPAR? partial agonists show chemical similarity with a group of 211 known PPAR? partial agonists obtained from the literature.Our results provide a new hypothesis about the active molecules of natural extracts with antidiabetic properties and their mode of action. We also suggest plants with undescribed antidiabetic activity that may contain PPAR? partial agonists. These plants represent a new source of potential antidiabetic extracts. Consequently, our work opens the door to the discovery of new antidiabetic extracts and molecules that can be of use, for instance, in the design of new antidiabetic drugs or functional foods focused towards the prevention/treatment of type 2 Diabetes Mellitus.
HubMed – drug
The Association between Alcohol Exposure and Self-Reported Health Status: The Effect of Separating Former and Current Drinkers.
Filed under: Drug and Alcohol Rehabilitation
PLoS One. 2013; 8(2): e55881
Liang W, Chikritzhs T
To investigate the direction and degree of potential bias introducedto analyses of drinking and health status which exclude former drinkers from exposure groups.Pooled analysis of 14 waves (1997-2010) of the U.S. National Health Interview Survey (NHIS).General population-based study.404,462 participants, from 14 waves of the NHIS, who had knownself-reported health status and alcohol consumption status.Self-reported health status was used as the indicatorof health. Two approaches were used to classify alcohol consumption: (i)separation of former drinkers and current drinkers, and (ii) combined former and current drinkers. The prevalence of fair/ poor health by alcohol use, gender and age with 95% confidence intervals was estimated. The difference in prevalence of fair/ poor health status for lifetime abstainers, former drinkers, current drinkers and drinkers (former drinkers and current drinkers combined) were compared using Poisson regression with robust estimations of variance.Excluding former drinkers from drinker groups exaggerates the difference in health status between abstainers and drinkers, especially for males.In cohort study analyses, former drinkers should be assigned to a drinking category based on their previous alcohol consumption patterns and not treated as a discrete exposure group.
HubMed – drug
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