希腊雅典艾滋病毒爆发后注射吸毒者中艾滋病毒的分子流行病学:缓慢燃烧 "爆发的证据

IF 2.6 4区 医学 Q3 INFECTIOUS DISEASES Infection Genetics and Evolution Pub Date : 2024-04-23 DOI:10.1016/j.meegid.2024.105597
Evangelia Georgia Kostaki , Sotirios Roussos , Anastasia Maria Kefala , Stefanos Limnaios , Mina Psichogiou , Eleni Papachristou , Georgios Nikolopoulos , Eleni Flountzi , Samuel R. Friedman , Pagona Lagiou , Angelos Hatzakis , Vana Sypsa , Gkikas Magiorkinis , Apostolos Beloukas , Dimitrios Paraskevis
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引用次数: 0

摘要

背景希腊雅典新诊断出的注射吸毒者(PWID)HIV-1 感染病例在 2011 年显著增加,2013 年后有所下降。尽管如此,从 2014 年到 2020 年,HIV-1 仍在这一人群中持续传播。我们的目标是估算雅典PWID在HIV-1爆发后的感染时间,探索HIV-1随时间推移的传播模式,并确定从感染到确诊的持续时间。方法估算了4个PWID特异性簇群中的844名感染者以及2010-2019年间确诊的8名A6亚型PWID感染者从感染HIV-1到确诊的时间。系统发生重建采用最大似然法。结果在2016-2019年期间确诊的92名PWID中,共有86人(93.5%)的序列与之前确定的PWID特异性群集相关(n = 81)或属于新的A6群集(n = 5)。在疫情爆发期间,感染与诊断之间的中位时间为 0.42 年,在 2016-2019 年期间为 0.70 年(p <0.001)。在疫情爆发前(1998-2009 年),来自吸毒者的聚类序列比例很低,仅为 5.3%,在 2010 年疫情爆发前一年上升至 41.7%,在 2011 年之后的整个时期内持续保持高比例,跨越了疫情爆发后时期(2016-2019 年),范围从 92.9% 到 100% 不等。自疫情爆发以来,聚集序列的比例一直居高不下,这表明注射行为导致的 HIV-1 传播仍在持续。考虑到持续的传播率和从感染到诊断的漫长时间,我们的研究结果强调了在吸毒者中采取有针对性干预措施的重要性。
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Molecular epidemiology of HIV among people who inject drugs after the HIV-outbreak in Athens, Greece: Evidence for a ‘slow burn’ outbreak

Background

New diagnoses of HIV-1 infection among people who inject drugs (PWID) in Athens, Greece, saw a significant increase in 2011 and a subsequent decline after 2013. Despite this, ongoing HIV-1 transmission persisted from 2014 to 2020 within this population. Our objective was to estimate the time of infection for PWID in Athens following the HIV-1 outbreak, explore the patterns of HIV-1 dispersal over time, and determine the duration from infection to diagnosis.

Methods

Time from HIV-1 infection to diagnosis was estimated for 844 individuals infected within 4 PWID-specific clusters and for 8 PWID infected with sub-subtype A6 diagnosed during 2010–2019. Phylogeny reconstruction was performed using the maximum-likelihood method. HIV-1 infection dates were based on molecular clock calculations.

Results

In total 86 of 92 (93.5%) sequences from PWID diagnosed during 2016–2019 were either related to the previously identified PWID-specific clusters (n = 81) or belonged to a new A6 cluster (n = 5). The median time between infection and diagnosis was 0.42 years during the outbreak period and 0.70 years during 2016–2019 (p < 0.001). The proportion of clustered sequences from PWID was very low at 5.3% during the pre-outbreak period (1998–2009), saw an increase to 41.7% one year before the outbreak in 2010, and consistently remained high during the whole period after 2011, spanning the post-outbreak period (2016–2019) with a range from 92.9% to 100%.

Conclusions

The substantial proportion of clustered infections (93.5%) during 2016–2019 implies a persistent ‘slow burn’ HIV outbreak among PWID in Athens, suggesting that the outbreak was not successfully eliminated. The consistently high proportion of clustered sequences since the onset of the outbreak suggests the persistence of ongoing HIV-1 transmission attributed to injection practices. Our findings underscore the importance of targeted interventions among PWID, considering the ongoing transmission rate and prolonged time from infection to diagnosis.

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来源期刊
Infection Genetics and Evolution
Infection Genetics and Evolution 医学-传染病学
CiteScore
8.40
自引率
0.00%
发文量
215
审稿时长
82 days
期刊介绍: (aka Journal of Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases -- MEEGID) Infectious diseases constitute one of the main challenges to medical science in the coming century. The impressive development of molecular megatechnologies and of bioinformatics have greatly increased our knowledge of the evolution, transmission and pathogenicity of infectious diseases. Research has shown that host susceptibility to many infectious diseases has a genetic basis. Furthermore, much is now known on the molecular epidemiology, evolution and virulence of pathogenic agents, as well as their resistance to drugs, vaccines, and antibiotics. Equally, research on the genetics of disease vectors has greatly improved our understanding of their systematics, has increased our capacity to identify target populations for control or intervention, and has provided detailed information on the mechanisms of insecticide resistance. However, the genetics and evolutionary biology of hosts, pathogens and vectors have tended to develop as three separate fields of research. This artificial compartmentalisation is of concern due to our growing appreciation of the strong co-evolutionary interactions among hosts, pathogens and vectors. Infection, Genetics and Evolution and its companion congress [MEEGID](http://www.meegidconference.com/) (for Molecular Epidemiology and Evolutionary Genetics of Infectious Diseases) are the main forum acting for the cross-fertilization between evolutionary science and biomedical research on infectious diseases. Infection, Genetics and Evolution is the only journal that welcomes articles dealing with the genetics and evolutionary biology of hosts, pathogens and vectors, and coevolution processes among them in relation to infection and disease manifestation. All infectious models enter the scope of the journal, including pathogens of humans, animals and plants, either parasites, fungi, bacteria, viruses or prions. The journal welcomes articles dealing with genetics, population genetics, genomics, postgenomics, gene expression, evolutionary biology, population dynamics, mathematical modeling and bioinformatics. We also provide many author benefits, such as free PDFs, a liberal copyright policy, special discounts on Elsevier publications and much more. Please click here for more information on our author services .
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