BackgroundCockroaches are terrestrial insects that strikingly eliminate waste nitrogen as ammonia instead of uric acid. Blattabacterium cuenoti (Mercier 1906) strains Bge and Pam are the obligate primary endosymbionts of the cockroaches Blattella germanica and Periplaneta americana, respectively. The genomes of both bacterial endosymbionts have recently been sequenced, making possible a genome-scale constraint-based reconstruction of their metabolic networks. The mathematical expression of a metabolic network and the subsequent quantitative studies of phenotypic features by Flux Balance Analysis (FBA) represent an efficient functional approach to these uncultivable bacteria.ResultsWe report the metabolic models of Blattabacterium strains Bge (iCG238) and Pam (iCG230), comprising 296 and 289 biochemical reactions, associated with 238 and 230 genes, and 364 and 358 metabolites, respectively. Both models reflect both the striking similarities and the singularities of these microorganisms. FBA was used to analyze the properties, potential and limits of the models, assuming some environmental constraints such as aerobic conditions and the net production of ammonia from these bacterial systems, as has been experimentally observed. In addition, in silico simulations with the iCG238 model have enabled a set of carbon and nitrogen sources to be defined, which would also support a viable phenotype in terms of biomass production in the strain Pam, which lacks the first three steps of the tricarboxylic acid cycle. FBA reveals a metabolic condition that renders these enzymatic steps dispensable, thus offering a possible evolutionary explanation for their elimination. We also confirm, by computational simulations, the fragility of the metabolic networks and their host dependence.ConclusionsThe minimized Blattabacterium metabolic networks are surprisingly similar in strains Bge and Pam, after 140 million years of evolution of these endosymbionts in separate cockroach lineages. FBA performed on the reconstructed networks from the two bacteria helps to refine the functional analysis of the genomes enabling us to postulate how slightly different host metabolic contexts drove their parallel evolution.
Objectives: To analyze the efficacy and safety of dolutegravir/rilpivirine (DTG/RPV) in HIV-infected patients who switched from any other antiretroviral therapy (ART). Methods: Open-label, multicenter study including patients who switched to DTG/RPV between February 2015 and February 2016. Efficacy (HIV RNA <50 copies/mL), adverse events, and metabolic changes at 24 weeks were analyzed. Results: A total of 104 participants were included, who switched for the following reasons: toxicity/intolerance (42.3%), convenience (27.8%), and drug interactions (17.3%). Prior regimens are protease inhibitor (56.7%), integrase strand transfer inhibitor (26.9%), and non-nucleoside reverse transcriptase inhibitor (16.3%). Efficacy at 24 weeks was 88.4% (intention to treat) and 96.8% (per protocol). Triglyceride levels were reduced, on average, by 12.7% and a mean decrease of 9.0% in the glomerular filtration rate was observed as well (P values of .003 and .002, respectively), whereas total cholesterol, HDL cholesterol, LDL cholesterol, creatinine, and glutamic-pyruvic transaminase remained unchanged. No patient discontinued due to adverse events. Conclusions: Dolutegravir/RPV is effective and safe in long-term HIV-infected patients under any prior ART. Toxicity, convenience, and interactions were the main reasons for changing. At 24 weeks, the lipid profile improved with a decrease in triglycerides.
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