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IntroductionDiagnosing neonatal sepsis is heavily dependent on clinical phenotyping as culture-positive body fluid has poor sensitivity, and existing blood biomarkers have poor specificity.A combination of machine learning, statistical and deep pathway biology analyses led to the identification of a tripartite panel of biologically connected immune and metabolic markers that showed greater than 99% accuracy for detecting bacterial infection with 100% sensitivity. The cohort study described here is designed as a large-scale clinical validation of this previous work.Methods and analysisThis multicentre observational study will prospectively recruit a total of 1445 newborn infants (all gestations)—1084 with suspected early—or late-onset sepsis, and 361 controls—over 4 years. A small volume of whole blood will be collected from infants with suspected sepsis at the time of presentation. This sample will be used for integrated transcriptomic, lipidomic and targeted proteomics profiling. In addition, a subset of samples will be subjected to cellular phenotype and proteomic analyses. A second sample from the same patient will be collected at 24 hours, with an opportunistic sampling for stool culture. For control infants, only one set of blood and stool sample will be collected to coincide with clinical blood sampling. Along with detailed clinical information, blood and stool samples will be analysed and the information will be used to identify and validate the efficacy of immune-metabolic networks in the diagnosis of bacterial neonatal sepsis and to identify new host biomarkers for viral sepsis.Ethics and disseminationThe study has received research ethics committee approval from the Wales Research Ethics Committee 2 (reference 19/WA/0008) and operational approval from Health and Care Research Wales. Submission of study results for publication will involve making available all anonymised primary and processed data on public repository sites.Trial registration numberNCT03777670

We hypothesised that foetal immune responses to an infectious challenge may be detected by genome-wide transcriptional profiling of cord blood. In order to test this hypothesis, we sought to identify transcriptomic changes in post-natal cord blood samples following prolonged pre-labour rupture of membranes (PROM) as a surrogate for increased risk of infection. By comparison to controls we found increased levels of blood transcripts in a subset of prolonged PROM cases, significantly enriched for innate immune system signalling pathways. These changes were idiosyncratic, suggesting qualitative and quantitative variation in foetal immune responses which may reflect differences in exposure and/or in host genetics. Our data support the view that PROM represents an infection risk to the foetus. In addition, we propose that cord blood transcriptional profiling offers exciting opportunities to identify immune correlates of clinical outcome following potential in utero exposures to infection. These may be used to elucidate the mechanisms of immunological protection and pathology in the foetus and identify biomarkers to stratify the risk of adverse outcomes.

BACKGROUND: Little is known about the extent and predictors of polymorphisms potentially influencing the susceptibility to HIV integrase inhibitors (INIs). METHODS: Genetic sequences of HIV integrase were obtained from INI-naive patients at two European clinics. The 39 amino acid changes at 29 integrase positions so far associated with INI resistance were examined according to HIV clade, prior antiretroviral exposure and duration of HIV infection. RESULTS: Integrase sequences were obtained from 418 patients, 294 (70.3%) infected with clade B and 124 (29.7%) infected with non-B variants (predominantly CRF02, A, C and D). Overall, 40% of patients were antiretroviral experienced and 32.8% were recent seroconverters. The most prevalent INI resistance-associated mutations were V72I (63.9%), V201I (54.8%), T206S (25.4%), I203M (9.8%) and K156N (7.4%). Major INI resistance mutations at positions 66, 92, 143, 148 and 155 were not detected. The mean number of polymorphic sites was greater in non-B than in B variants (2.17 versus 1.59; P < 0.001), and in antiretroviral-experienced than in drug-naive patients (1.89 versus 1.68; P = 0.034), whereas no significant differences were seen comparing recent seroconverters and chronically infected persons. CONCLUSIONS: Major INI resistance-associated mutations are very rare, if indeed ever present, in INI-naive patients. However, polymorphisms at positions which may influence the genetic barrier and/or drive the selection of specific INI resistance pathways are common, especially in HIV non-B subtypes.

Background: Increasing data shows the relevance of HBV genotypes in the outcome of infection. Most studies investigating the relationship between the genotypic characteristics of hepatitis B virus (HBV) and the clinical or epidemiological aspects of HBV infection originate from studies of patients with chronic rather than acute hepatitis B. Objectives: To study a convenience sample representing ca. 5% of reported acute hepatitis B in England between 1997 and 2001 to investigate the distribution of HBV genotypes and specific HBV variants with epidemiological risk factors, thereby providing baseline data for ongoing surveillance. Study design: From 160 serum samples, PCR was carried out to amplify the first 600 bases of the HBV S gene. Amplicons were sequenced and subjected to phylogenetic analysis and risk factor analysis. Results: Fifty-seven percent of the study samples carried HBV belonging to subtype A2, 13% to subtype D2, and the rest to genotype E (8%) and subtypes C2 and D3 (each 6%), D1 and D4 (each 3%) and B4 (1%). One particular A2 isolate was dominant, accounting for 23% of the total sample set. Drug use and homosexual transmission were equally implicated as risks within genotype A2. No mutations associated with vaccine escape or resistance to antiviral therapy were identified. Conclusion: Immigration and travel likely shape the observed genotype distribution and consequent prevalence of genotypes other than A2 or D in this population. Data suggests no genetic separation of parenteral and sexually transmitted virus. These data demonstrate the value in pursuing more extensive and recent surveillance. © 2008 Elsevier B.V. All rights reserved.