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Featured researches published by Alison Bermingham.


Nature Medicine | 2013

Cellular immune correlates of protection against symptomatic pandemic influenza

Saranya Sridhar; Shaima Begom; Alison Bermingham; Katja Hoschler; Walt Adamson; William F. Carman; Thomas Bean; Wendy S. Barclay; Jonathan J Deeks; Ajit Lalvani

The role of T cells in mediating heterosubtypic protection against natural influenza illness in humans is uncertain. The 2009 H1N1 pandemic (pH1N1) provided a unique natural experiment to determine whether crossreactive cellular immunity limits symptomatic illness in antibody-naive individuals. We followed 342 healthy adults through the UK pandemic waves and correlated the responses of pre-existing T cells to the pH1N1 virus and conserved core protein epitopes with clinical outcomes after incident pH1N1 infection. Higher frequencies of pre-existing T cells to conserved CD8 epitopes were found in individuals who developed less severe illness, with total symptom score having the strongest inverse correlation with the frequency of interferon-γ (IFN-γ)+ interleukin-2 (IL-2)− CD8+ T cells (r = −0.6, P = 0.004). Within this functional CD8+IFN-γ+IL-2− population, cells with the CD45RA+ chemokine (C-C) receptor 7 (CCR7)− phenotype inversely correlated with symptom score and had lung-homing and cytotoxic potential. In the absence of crossreactive neutralizing antibodies, CD8+ T cells specific to conserved viral epitopes correlated with crossprotection against symptomatic influenza. This protective immune correlate could guide universal influenza vaccine development.


Lancet Infectious Diseases | 2014

Middle East respiratory syndrome coronavirus in dromedary camels: An outbreak investigation

Bart L. Haagmans; Said H S Al Dhahiry; Chantal Reusken; V. Stalin Raj; Monica Galiano; Richard Myers; Gert-Jan Godeke; Marcel Jonges; Elmoubasher Farag; Ayman Diab; Hazem Ghobashy; Farhoud Alhajri; Mohamed Al-Thani; Salih Ali Al-Marri; Hamad Eid Al Romaihi; Abdullatif Al Khal; Alison Bermingham; Albert D. M. E. Osterhaus; Mohd M. AlHajri; Marion Koopmans

Summary Background Middle East respiratory syndrome coronavirus (MERS-CoV) causes severe lower respiratory tract infection in people. Previous studies suggested dromedary camels were a reservoir for this virus. We tested for the presence of MERS-CoV in dromedary camels from a farm in Qatar linked to two human cases of the infection in October, 2013. Methods We took nose swabs, rectal swabs, and blood samples from all camels on the Qatari farm. We tested swabs with RT-PCR, with amplification targeting the E gene (upE), nucleocapsid (N) gene, and open reading frame (ORF) 1a. PCR positive samples were tested by different MERS-CoV specific PCRs and obtained sequences were used for phylogentic analysis together with sequences from the linked human cases and other human cases. We tested serum samples from the camels for IgG immunofluorescence assay, protein microarray, and virus neutralisation assay. Findings We obtained samples from 14 camels on Oct 17, 2013. We detected MERS-CoV in nose swabs from three camels by three independent RT-PCRs and sequencing. The nucleotide sequence of an ORF1a fragment (940 nucleotides) and a 4·2 kb concatenated fragment were very similar to the MERS-CoV from two human cases on the same farm and a MERS-CoV isolate from Hafr-Al-Batin. Eight additional camel nose swabs were positive on one or more RT-PCRs, but could not be confirmed by sequencing. All camels had MERS-CoV spike-binding antibodies that correlated well with the presence of neutralising antibodies to MERS-CoV. Interpretation Our study provides virological confirmation of MERS-CoV in camels and suggests a recent outbreak affecting both human beings and camels. We cannot conclude whether the people on the farm were infected by the camels or vice versa, or if a third source was responsible. Funding European Union projects EMPERIE (contract number 223498), ANTIGONE (contract number 278976), and the VIRGO consortium.


Clinical Infectious Diseases | 2009

Neuraminidase Inhibitor Resistance after Oseltamivir Treatment of Acute Influenza A and B in Children

Iain Stephenson; Jane Democratis; Angie Lackenby; Teresa McNally; James Smith; Manish Pareek; Joanna Ellis; Alison Bermingham; Karl G. Nicholson; Maria Zambon

BACKGROUND Oseltamivir, a specific influenza neuraminidase inhibitor, is an effective treatment for seasonal influenza. Emergence of drug-resistant influenza viruses after treatment has been reported, particularly in children in Japan, where the dosing schedule is different from that used throughout the rest of the world. We investigated the emergence of drug-resistant infection in children treated with a tiered weight-based dosing regimen. METHODS We analyzed sequential clinical nasopharyngeal samples, obtained before and after tiered weight-based oseltamivir therapy, from children with acute influenza during 2005-2007. We isolated viruses, tested for drug resistance with use of a fluorescence-based neuraminidase inhibition assay, performed neuraminidase gene sequencing, and determined quantitative viral loads. RESULTS Sixty-four children (34 with influenza A subtype H3N2, 11 with influenza A subtype H1N1, and 19 with influenza B virus) aged 1-12 years (median age, 3 years, 1 month) were enrolled. By days 4-7 after initiation of treatment, of 64 samples tested, 47 (73.4%) and 26 (40.6%) had virus detectable by reverse-transcriptase polymerase chain reaction and culture, respectively. By days 8-12 after initiation of treatment, of 53 samples tested, 18 (33.9%) and 1 (1.8%) had virus detectable by reverse-transcriptase polymerase chain reaction and culture, respectively. We found no statistically significant differences in the reduction of viral shedding or time to clearance of virus between viral subtypes. Antiviral-resistant viruses were recovered from 3 (27.3%) of 11 children with influenza A subtype H1N1, 1 (2.9%) of 34 children with influenza A subtype H3N2, and 0 (0%) of 19 children with influenza B virus, all of whom were treated with oseltamivir (P = .004). There was no evidence of prolonged illness in children infected with drug-resistant virus. CONCLUSIONS Drug resistance emerges at a higher rate in influenza A subtype H1N1 virus than in influenza A subtype H3N2 or influenza B virus after tiered weight-based oseltamivir therapy. Virological surveillance for patterns of drug resistance is essential for determination of antiviral treatment strategies and for composition of pandemic preparedness stockpiles.


PLOS Currents | 2010

The Early Transmission Dynamics of H1N1pdm Influenza in the United Kingdom.

Azra C. Ghani; Marc Baquelin; Jamie T. Griffin; Stefan Flasche; Richard Pebody; Van Hoek Albert Jan; Simon Cauchemez; Ian Hall; Christl A. Donnelly; Chris Robertson; Michael T. White; Iain Barrass; Christophe Fraser; Alison Bermingham; James E. Truscott; Joanna Ellis; Helen E. Jenkins; George Kafatos; Tini Garske; Ross Harris; James McMenamin; Colin Hawkins; Nick Phin; Andre Charlett; Maria Zambon; W. John Edmunds; Mike Catchpole; Steve Leach; Peter White; Neil M. Ferguson

We analyzed data on all laboratory-confirmed cases of H1N1pdm influenza in the UK to 10th June 2009 to estimate epidemiological characteristics. We estimated a mean incubation period of 2.05 days and serial interval of 2.5 days with infectivity peaking close to onset of symptoms. Transmission was initially sporadic but increased from mid-May in England and from early June in Scotland. We estimated 37% of transmission occurred in schools, 24% in households, 28% through travel abroad and the remainder in the wider community. Children under 16 were more susceptible to infection in the household (adjusted OR 5.80, 95% CI 2.99-11.82). Treatment with oseltamivir plus widespread use of prophylaxis significantly reduced transmission (estimated reduction 16%). Households not receiving oseltamivir within 3 days of symptom onset in the index case had significantly increased secondary attack rates (adjusted OR 3.42, 95% CI 1.51-8.55).


American Journal of Respiratory and Critical Care Medicine | 2015

Natural T Cell–mediated Protection against Seasonal and Pandemic Influenza. Results of the Flu Watch Cohort Study

Andrew Hayward; L. Wang; Nilu Goonetilleke; Ellen Fragaszy; Alison Bermingham; Andrew Copas; Oliver Dukes; Elizabeth R. C. Millett; Irwin Nazareth; Jonathan S. Nguyen-Van-Tam; John Watson; Maria Zambon; Anne M Johnson; Andrew J. McMichael

RATIONALE A high proportion of influenza infections are asymptomatic. Animal and human challenge studies and observational studies suggest T cells protect against disease among those infected, but the impact of T-cell immunity at the population level is unknown. OBJECTIVES To investigate whether naturally preexisting T-cell responses targeting highly conserved internal influenza proteins could provide cross-protective immunity against pandemic and seasonal influenza. METHODS We quantified influenza A(H3N2) virus-specific T cells in a population cohort during seasonal and pandemic periods between 2006 and 2010. Follow-up included paired serology, symptom reporting, and polymerase chain reaction (PCR) investigation of symptomatic cases. MEASUREMENTS AND MAIN RESULTS A total of 1,414 unvaccinated individuals had baseline T-cell measurements (1,703 participant observation sets). T-cell responses to A(H3N2) virus nucleoprotein (NP) dominated and strongly cross-reacted with A(H1N1)pdm09 NP (P < 0.001) in participants lacking antibody to A(H1N1)pdm09. Comparison of paired preseason and post-season sera (1,431 sets) showed 205 (14%) had evidence of infection based on fourfold influenza antibody titer rises. The presence of NP-specific T cells before exposure to virus correlated with less symptomatic, PCR-positive influenza A (overall adjusted odds ratio, 0.27; 95% confidence interval, 0.11-0.68; P = 0.005, during pandemic [P = 0.047] and seasonal [P = 0.049] periods). Protection was independent of baseline antibodies. Influenza-specific T-cell responses were detected in 43%, indicating a substantial population impact. CONCLUSIONS Naturally occurring cross-protective T-cell immunity protects against symptomatic PCR-confirmed disease in those with evidence of infection and helps to explain why many infections do not cause symptoms. Vaccines stimulating T cells may provide important cross-protective immunity.


Journal of Epidemiology and Community Health | 2010

Estimating influenza vaccine effectiveness using routinely collected laboratory data

Douglas M. Fleming; Nick Andrews; Joanna Ellis; Alison Bermingham; P Sebastianpillai; Alex J. Elliot; Elizabeth Miller; Maria Zambon

Background Estimation of influenza vaccine effectiveness (V/E) is needed early during influenza outbreaks in order to optimise management of influenza—a need which will be even greater in a pandemic situation. Objective Examine the potential of routinely collected virological surveillance data to generate estimates of V/E in real-time during winter seasons. Methods Integrated clinical and virological community influenza surveillance data collected over three winters 2004/5–2006/7 were used. We calculated the odds of vaccination in persons that were influenza-virus-positive and the odds in those that were negative and provided a crude estimate of V/E. Logistic regression was used to obtain V/E estimates adjusted for confounding variables such as age. Results Multivariable analysis suggested that adjustments to the crude V/E estimate were necessary for patient age and month of sampling. The annual adjusted V/E was 2005/6, 67% (95% CI 41% to 82%); 2006/7 55% (26% to 73%) and 2007/8 67% (41% to 82%). The adjusted V/E in persons <65 years was 70% (57% to 78%) and 65 years and over 46% (−17% to 75%). Estimates differed by small insignificant amounts when calculated separately for influenza A and B; by interval between illness onset and swab sample; by analysis for the period November to January in each year compared with February to April and according to viral load. Conclusion We have demonstrated the potential of using routine virological and clinical surveillance data to provide estimates of V/E early in season and conclude that it is feasible to introduce this approach to V/E measurement into evaluation of national influenza vaccination programs.


Epidemiology and Infection | 2010

Pandemic (H1N1) 2009 virus outbreak in a school in London, April–May 2009: an observational study

L. Calatayud; S. Kurkela; Penny E Neave; A Brock; Sarah E. Perkins; M. Zuckerman; M Sudhanva; Alison Bermingham; Joanna Ellis; Richard Pebody; Mike Catchpole; R. Heathcock; H. Maguire

On 29 April 2009, an imported case of pandemic (H1N1) 2009 virus infection was detected in a London school. As further cases, pupils and staff members were identified, school closure and mass prophylaxis were implemented. An observational descriptive study was conducted to provide an insight into the clinical presentation and transmission dynamics in this setting. Between 15 April and 15 May 2009, 91 symptomatic cases were identified: 33 were confirmed positive for pandemic (H1N1) 2009 virus infection; 57 were tested negative; in one the results were unavailable. Transmission occurred first within the school, and subsequently outside. Attack rates were 2% in pupils (15% in the 11-12 years age group) and 17% in household contacts. The predominant symptoms were fever (97%), respiratory symptoms (91%), and sore throat (79%). Limited spread in the school may have been due to a combination of school closure and mass prophylaxis. However, transmission continued through household contacts to other schools.


BMJ | 2009

Monitoring the emergence of community transmission of influenza A/H1N1 2009 in England: a cross sectional opportunistic survey of self sampled telephone callers to NHS Direct

Alex J. Elliot; Cassandra Powers; Alicia Thornton; Chinelo Obi; Caterina Hill; Ian Simms; Pauline Waight; Helen Maguire; David Foord; Enid Povey; Tim Wreghitt; Nichola Goddard; Joanna Ellis; Alison Bermingham; Praveen Sebastianpillai; Angie Lackenby; Maria Zambon; David W. Brown; G. E. Smith; O Noel Gill

Objective To evaluate ascertainment of the onset of community transmission of influenza A/H1N1 2009 (swine flu) in England during the earliest phase of the epidemic through comparing data from two surveillance systems. Design Cross sectional opportunistic survey. Study samples Results from self samples by consenting patients who had called the NHS Direct telephone health line with cold or flu symptoms, or both, and results from Health Protection Agency (HPA) regional microbiology laboratories on patients tested according to the clinical algorithm for the management of suspected cases of swine flu. Setting Six regions of England between 24 May and 30 June 2009. Main outcome measure Proportion of specimens with laboratory evidence of influenza A/H1N1 2009. Results Influenza A/H1N1 2009 infections were detected in 91 (7%) of the 1385 self sampled specimens tested. In addition, eight instances of influenza A/H3 infection and two cases of influenza B infection were detected. The weekly rate of change in the proportions of infected individuals according to self obtained samples closely matched the rate of increase in the proportions of infected people reported by HPA regional laboratories. Comparing the data from both systems showed that local community transmission was occurring in London and the West Midlands once HPA regional laboratories began detecting 100 or more influenza A/H1N1 2009 infections, or a proportion positive of over 20% of those tested, each week. Conclusions Trends in the proportion of patients with influenza A/H1N1 2009 across regions detected through clinical management were mirrored by the proportion of NHS Direct callers with laboratory confirmed infection. The initial concern that information from HPA regional laboratory reports would be too limited because it was based on testing patients with either travel associated risk or who were contacts of other influenza cases was unfounded. Reports from HPA regional laboratories could be used to recognise the extent to which local community transmission was occurring.


Epidemiology and Infection | 2011

Hospitalization in two waves of pandemic influenza A(H1N1) in England

Chloe Campbell; Oliver Tristan Mytton; Estelle McLean; Paul Rutter; Richard Pebody; Nabihah Sachedina; Pamela J. White; Colin Hawkins; Brian G Evans; Pauline Waight; Joanna Ellis; Alison Bermingham; Liam Donaldson; Mike Catchpole

Uncertainties exist regarding the population risks of hospitalization due to pandemic influenza A(H1N1). Understanding these risks is important for patients, clinicians and policy makers. This study aimed to clarify these uncertainties. A national surveillance system was established for patients hospitalized with laboratory-confirmed pandemic influenza A(H1N1) in England. Information was captured on demographics, pre-existing conditions, treatment and outcomes. The relative risks of hospitalization associated with pre-existing conditions were estimated by combining the captured data with population prevalence estimates. A total of 2416 hospitalizations were reported up to 6 January 2010. Within the population, 4·7 people/100,000 were hospitalized with pandemic influenza A(H1N1). The estimated hospitalization rate of cases showed a U-shaped distribution with age. Chronic kidney disease, chronic neurological disease, chronic respiratory disease and immunosuppression were each associated with a 10- to 20-fold increased risk of hospitalization. Patients who received antiviral medication within 48 h of symptom onset were less likely to be admitted to critical care than those who received them after this time (adjusted odds ratio 0·64, 95% confidence interval 0·44-0·94, P=0·024). In England the risk of hospitalization with pandemic influenza A(H1N1) has been concentrated in the young and those with pre-existing conditions. By quantifying these risks, this study will prove useful in planning for the next winter in the northern and southern hemispheres, and for future pandemics.


The New England Journal of Medicine | 2017

Middle East Respiratory Syndrome

Yaseen Arabi; Hanan H. Balkhy; Frederick G. Hayden; Abderrezak Bouchama; Thomas C. Luke; J. Kenneth Baillie; Awad Al-Omari; Ali H. Hajeer; Mikiko Senga; Mark R. Denison; Jonathan S. Nguyen-Van-Tam; Nahoko Shindo; Alison Bermingham; James D. Chappell; Maria D. Van Kerkhove; Robert Fowler

The Middle East respiratory syndrome is caused by a coronavirus that was first identified in Saudi Arabia in 2012. Periodic outbreaks continue to occur in the Middle East and elsewhere. This report provides the latest information on MERS.

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Maria Fraser

Leicester Royal Infirmary

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Nelun Perera

University Hospitals of Leicester NHS Trust

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Sally Batham

University of Leicester

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