Sly Saint
Senior Member (Voting Rights)
more at link.Methodological advances have helped identify viruses as causative agents of disease but this is complicated by heterogeneity in patient outcomes and long-term symptoms.
Viruses that infect animals and plants are now well known as aetiologies of disease. However, unlike bacterial pathogens, viruses were not always easily identified as causative agents owing to their small sizes and their reliance on host cells. About 50 years after bacterial pathogens were identified, the first evidence linking viruses to specific diseases was reported. In the late nineteenth century, Dmitri Ivanovsky reported tobacco mosaic virus infection of plants, while animal infection with foot-and-mouth disease virus was described by Friedrich Loeffler and Paul Frosch. Around the same time, Carlos Finlay reported the first virus shown to cause disease in humans, yellow fever virus, and found that it was transmitted to humans by mosquitoes1. Together, these findings laid the foundations for contemporary virology.
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Furthermore, research groups have used multi-omics approaches and large cohorts to study how virus infection can drive long-term symptoms, such as those reported for long COVID. These symptoms are similar to those experienced in myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). ME/CFS has been tentatively connected to infection with Epstein–Barr virus but a solid evidence base is lacking. Neurological symptoms such as memory loss, impaired concentration and fatigue have been reported both in patients with ME/CFS and patients with long COVID7. Symptoms vary across patients and so determining the role of a virus in these aetiologies is difficult. In a longitudinal study with a cohort of 309 patients, Su et al. used a deep multi-omics approach to reveal an association between SARS-CoV-2 RNA levels, Epstein–Barr virus viraemia, and specific auto-antibodies with risk for developing long COVID8.
This extensive analysis indicates that several variables are relevant for long COVID development and so disentangling the specific role of a virus in long-term disease is extremely complex, but large cohort studies can be helpful. Comorbidities, infection history and genetic predisposition can also complicate analyses. Therefore, multi-centre collaborations are needed to enable well-documented, large, longitudinal cohort studies. Ideally, these large cohorts would include a diverse set of participants (considering race and/or ethnicity, geographical location, sex, age, pregnancy status, socioeconomic status) in order to unravel the complexities of virus-induced diseases, such as long COVID and ME/CFS.
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https://www.nature.com/articles/s41564-023-01452-5
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