An Antimicrobial Peptide Regulates Tumor-Associated Macrophage Trafficking via the Chemokine Receptor CCR2, a Model for Tumorigenesis

Tumor-associated macrophages (TAMs) constitute a significant part of infiltrating inflammatory cells that are frequently correlated with progression and poor prognosis of a variety of cancers. Tumor cell-produced human β-defensin-3 (hBD-3) has been associated with TAM trafficking in oral cancer; however, its involvement in tumor-related inflammatory processes remains largely unknown., applying a cross-desensitization strategy of CCR2 and its pharmacological inhibitor (RS102895), respectively, was also carried out. outcome and demonstrates the importance of the innate immune system in the development of tumors

Genetic and Computational Identification of a Conserved Bacterial Metabolic Module

We have experimentally and computationally defined a set of genes that form a conserved metabolic module in the α-proteobacterium Caulobacter crescentus and used this module to illustrate a schema for the propagation of pathway-level annotation across bacterial genera. Applying comprehensive forward and reverse genetic methods and genome-wide transcriptional analysis, we (1) confirmed the presence of genes involved in catabolism of the abundant environmental sugar myo-inositol, (2) defined an operon encoding an ABC-family myo-inositol transmembrane transporter, and (3) identified a novel myo-inositol regulator protein and cis-acting regulatory motif that control expression of genes in this metabolic module. Despite being encoded from non-contiguous loci on the C. crescentus chromosome, these myo-inositol catabolic enzymes and transporter proteins form a tightly linked functional group in a computationally inferred network of protein associations. Primary sequence comparison was not sufficient to confidently extend annotation of all components of this novel metabolic module to related bacterial genera. Consequently, we implemented the Graemlin multiple-network alignment algorithm to generate cross-species predictions of genes involved in myo-inositol transport and catabolism in other α-proteobacteria. Although the chromosomal organization of genes in this functional module varied between species, the upstream regions of genes in this aligned network were enriched for the same palindromic cis-regulatory motif identified experimentally in C. crescentus. Transposon disruption of the operon encoding the computationally predicted ABC myo-inositol transporter of Sinorhizobium meliloti abolished growth on myo-inositol as the sole carbon source, confirming our cross-genera functional prediction. Thus, we have defined regulatory, transport, and catabolic genes and a cis-acting regulatory sequence that form a conserved module required for myo-inositol metabolism in select α-proteobacteria. Moreover, this study describes a forward validation of gene-network alignment, and illustrates a strategy for reliably transferring pathway-level annotation across bacterial species

A systematic review of primary outcomes and outcome measure reporting in randomized trials evaluating treatments for pre-eclampsia

Background: An evaluation of outcome reporting is required to develop a core outcome set. Objectives: To assess primary outcomes and outcome measure reporting in pre-eclampsia trials. Search strategy: Five online databases were searched from inception to January 2016 using terms including “preeclampsia” and “randomized controlled trial”. Selection criteria: Randomized controlled trials evaluating treatments for pre-eclampsia published in any language were included. Data collection and analysis: Primary outcomes and data on outcome measure reporting were systematically extracted and categorized. Main results: Overall, 79 randomized trials including data from 31 615 women were included. Of those, 38 (48%) reported 35 different primary outcomes; 28 were maternal outcomes and seven were fetal/neonatal outcomes. Three randomized trials reported composite outcomes, incorporating between six and nine outcome components. The method of definition or measurement was infrequently or poorly reported. Even when outcomes were consistent across trials, different methods of definition or measurement were frequently described. Conclusions: In randomized trials evaluating interventions for pre-eclampsia, critical information related to the primary outcome, including definition and measurement, is regularly omitted. Developing a core outcome set for pre-eclampsia trials would help to inform primary outcome selection and outcome measure reporting.</p

A systematic review of primary outcomes and outcome measure reporting in randomized trials evaluating treatments for pre-eclampsia

Background: An evaluation of outcome reporting is required to develop a core outcome set. Objectives: To assess primary outcomes and outcome measure reporting in pre-eclampsia trials Search strategy: Five online databases were searched from inception to January 2016 using terms including “preeclampsia” and “randomized controlled trial”. Selection criteria: Randomized controlled trials evaluating treatments for pre-eclampsia published in any language were included Data collection and analysis: Primary outcomes and data on outcome measure reporting were systematically extracted and categorized. Main results: Overall, 79 randomized trials including data from 31 615 women were included. Of those, 38 (48%) reported 35 different primary outcomes; 28 were maternal outcomes and seven were fetal/neonatal outcomes. Three randomized trials reported composite outcomes, incorporating between six and nine outcome components. The method of definition or measurement was infrequently or poorly reported. Even when outcomes were consistent across trials, different methods of definition or measurement were frequently described Conclusion: In randomized trials evaluating interventions for pre-eclampsia, critical information related to the primary outcome, including definition and measurement, is regularly omitted. Developing a core outcome set for pre-eclampsia trials would help to inform primary outcome selection and outcome measure reporting.</p

Outcome reporting across randomised controlled trials evaluating therapeutic interventions for pre-eclampsia: a systematic review

Background Standardising outcome collection and reporting in pre-eclampsia trials requires an appraisal of current outcome reporting. Objectives To map maternal and offspring outcome reporting across randomised trials evaluating therapeutic interventions for pre-eclampsia. Search strategy Randomised trials were identified by searching bibliographical databases from inception to January 2016. Selection criteria Randomised controlled trials. Data collection and analysis We systematically extracted and categorised outcomes reporting. Main results Seventy-nine randomised trials, reporting data from 31,615 maternal participants and 28,172 of their offspring, were included. Fifty-five different interventions were evaluated. Included trials reported 119 different outcomes, including 72 maternal outcomes and 47 offspring outcomes. Maternal outcomes were inconsistently reported across included trials, for example, 11 (14%) trials reported maternal mortality, reporting data from 12,422 participants (39%), and 16 (20%) trials reported cardiovascular morbidity, reporting data from 14,963 maternal participants (43%). Forty-three (54%) trials reported fetal outcomes and 23 (29%) trials reported neonatal outcomes. Twenty-eight trials (35%) reported offspring mortality. There was poor reporting of childhood outcomes: six trials (8%) reported neurodevelopmental outcomes. Less than half of included trials reported any relevant information regarding harms for maternal participants and their offspring. Conclusions Most randomised trials evaluating interventions for pre-eclampsia are missing information on clinically important outcomes and in particular have neglected to evaluate efficacy and safety in the offspring of participants. Developing and implementing a minimum core data set, known as a core outcome set, in future pre-eclampsia trials could help to address these issues

Clinical endpoints in the controlled human challenge model for Shigella: A call for standardization and the development of a disease severity score.

Since 1946 the controlled human infection model (CHIM) for Shigella has been used to improve understanding of disease pathogenesis, describe clinical and immunologic responses to infection and as a tool for vaccine development. As the frequency and intent for use in vaccine comparisons increases, standardization of the primary endpoint definition is necessary.Subject-level data were obtained from previously conducted experimental Shigella CHIM studies. Signs and symptoms severity were categorized consistently across all studies. Sign and symptom correlations were estimated and univariate models were utilized to describe the association between stool output and other Shigella-attributable signs and symptoms. Multiple correspondence and hierarchical clustering analyses were performed to describe the co-occurrence of signs and symptoms. A disease score is proposed based on the co-occurrence of these events.Data were obtained on 54 subjects receiving 800 to 2000 colony forming units (cfu) of S. flexneri. The median maximum 24 hour stool output was 514 ml (IQR: 300, 998 ml) with a median frequency of 6 (IQR: 4, 9). Subjects reported abdominal pain or cramps (81.5%), headache (66.7%) and anorexia (64.8%), 50.0% had a fever and 27.8% had gross blood in multiple loose stools. Multiple correspondence analyses highlighted co-occurrence of symptoms based on severity. A 3-parameter disease severity score predicted shigellosis endpoints and better differentiated disease spectrum.Dichotomous endpoints for Shigella CHIM fail to fully account for disease variability. An ordinal disease score characterizing the breadth of disease severity may enable a better characterization of shigellosis and can decrease sample size requirements. Furthermore, the disease severity score may be a useful tool for portfolio management by enabling prioritization across vaccine candidates with comparable efficacy estimates using dichotomous endpoints