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  • Oxford University Press (OUP)  (3)
  • 2015-2019  (3)
  • 1
    In: Journal of Leukocyte Biology, Oxford University Press (OUP), Vol. 103, No. 2 ( 2018-01-26), p. 321-339
    Abstract: Influenza epidemics lead to severe illness, life-threatening complications, and deaths, especially in the elderly. As CD8+ T cells are associated with rapid recovery from influenza, we investigated the effects of aging on antigen-specific CD8+ T cells across the universal influenza epitopes in humans. We show that aging is characterized by altered frequencies in T cell subsets, with naive T cells being partially replaced by activated effector/memory populations. Although we observed no striking differences in TCR signaling capacity, T cells in the elderly had increased expression of transcription factors Eomes and T-bet, and such changes were most apparent in CD8+ T cells. Strikingly, the numbers of antigen-specific CD8+ T cells across universal influenza epitopes were reduced in the elderly, although their effector/memory phenotypes remained stable. To understand whether diminished numbers of influenza-specific CD8+ T cells in the elderly resulted from alteration in TCR clonotypes, we dissected the TCRαβ repertoire specific for the prominent HLA-A*02:01-restricted-M158–66 (A2/M158) influenza epitope. We provide the first ex vivo data on paired antigen-specific TCRαβ clonotypes in the elderly, showing that influenza-specific A2/M158+ TCRαβ repertoires in the elderly adults varied from those in younger adults, with the main features being a reduction in the frequency of the public TRAV27–TRBV19 TCRαβ clonotype, increased proportion of private TCRαβ signatures, broader use of TRAV and TRBV gene segments, and large clonal expansion of private TCRαβ clonotypes with longer CDR3 loops. Our study supports the development of T cell-targeted influenza vaccines that would boost the T cell compartment during life and maintain the numbers and optimal TCRαβ signatures in the elderly.
    Type of Medium: Online Resource
    ISSN: 0741-5400 , 1938-3673
    RVK:
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2018
    detail.hit.zdb_id: 2026833-6
    SSG: 12
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  • 2
    In: Database, Oxford University Press (OUP), Vol. 2019 ( 2019-01-01)
    Abstract: Document recommendation systems for locating relevant literature have mostly relied on methods developed a decade ago. This is largely due to the lack of a large offline gold-standard benchmark of relevant documents that cover a variety of research fields such that newly developed literature search techniques can be compared, improved and translated into practice. To overcome this bottleneck, we have established the RElevant LIterature SearcH consortium consisting of more than 1500 scientists from 84 countries, who have collectively annotated the relevance of over 180 000 PubMed-listed articles with regard to their respective seed (input) article/s. The majority of annotations were contributed by highly experienced, original authors of the seed articles. The collected data cover 76% of all unique PubMed Medical Subject Headings descriptors. No systematic biases were observed across different experience levels, research fields or time spent on annotations. More importantly, annotations of the same document pairs contributed by different scientists were highly concordant. We further show that the three representative baseline methods used to generate recommended articles for evaluation (Okapi Best Matching 25, Term Frequency–Inverse Document Frequency and PubMed Related Articles) had similar overall performances. Additionally, we found that these methods each tend to produce distinct collections of recommended articles, suggesting that a hybrid method may be required to completely capture all relevant articles. The established database server located at https://relishdb.ict.griffith.edu.au is freely available for the downloading of annotation data and the blind testing of new methods. We expect that this benchmark will be useful for stimulating the development of new powerful techniques for title and title/abstract-based search engines for relevant articles in biomedical research.
    Type of Medium: Online Resource
    ISSN: 1758-0463
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 2496706-3
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  • 3
    In: Open Forum Infectious Diseases, Oxford University Press (OUP), Vol. 6, No. 3 ( 2019-03-01)
    Abstract: During the first half of 2014, a severe outbreak of measles occurred in northern Vietnam, causing 15 033 confirmed cases and 146 deaths. Methods To evaluate the population-level seroprevalence of protection against measles in the period before the outbreak, we made use of an existing age-stratified serum bank, collected over the year before the outbreak, between November 2012 and December 2013, from 4 sites across the country (Hanoi, Hue, Dak Lak, and Ho Chi Minh City). Data from the UNICEF’s Multiple Indicator Clustered Surveys (MICS), carried out in Vietnam during the first quarter of 2014, were used to assess the vaccine coverage in 6 ecological regions of Vietnam. Results Results revealed a large discrepancy between levels of protection, as estimated from the serology and vaccine coverage estimated by UNICEF’s MICS. Variation in seroprevalence across locations and age groups corresponded with reported numbers of measles cases, most of which were among the 0–2-year-old age group and in the northern part of the country. Conclusions Our study presents a strong case in favor of a serosurveillance sentinel network that could be used to proactively tune vaccination policies and other public health interventions.
    Type of Medium: Online Resource
    ISSN: 2328-8957
    Language: English
    Publisher: Oxford University Press (OUP)
    Publication Date: 2019
    detail.hit.zdb_id: 2757767-3
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