Transmission and detection of monkeypox virus in saliva (part II): Implications for sequential monitoring of viral load

Yang, Xi; Xiao, Xuan; Liao, Qianfang; Liu, Wei

doi:10.1016/j.jds.2022.12.018

Cited by 1 publication

(2 citation statements)

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“…In a significant number of studies on severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2), the cycle threshold ( C t ) value alone, also known as raw C t values, is often utilized as an indicator of viral load 11–20 . The same trend is already observed in the current global outbreak of monkeypox (MPXV) 21–24 …”

Section: Viral Load and Pandemicsmentioning

confidence: 94%

“…[11][12][13][14][15][16][17][18][19][20] The same trend is already observed in the current global outbreak of monkeypox (MPXV). [21][22][23][24] Overall, having knowledge of viral load is crucial for the development of effective strategies regarding antiviral treatment, vaccination, and epidemiological control. The identifying of patients with high viral loads can be instrumental in understanding risk factors associated with severe disease and unfavorable outcomes.…”

Section: Viral Load and Pandemicsmentioning

confidence: 99%

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Viral load: We need a new look at an old problem?

Guterres

2023

Journal of Medical Virology

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The concept of viral load was introduced in the 1980s to measure the amount of viral genetic material in a person's blood, primarily for human immunodeficiency virus (HIV). It has since become crucial for monitoring HIV infection progression and assessing the efficacy of antiretroviral therapy. However, during the coronavirus disease 2019 pandemic, the term “viral load” became widely popularized, not only for the scientific community but for the general population. Viral load plays a critical role in both clinical patient management and research, providing valuable insights for antiviral treatment strategies, vaccination efforts, and epidemiological control measures. As measuring viral load is so important, why don't researchers discuss the best way to do it? Is it simply acceptable to use raw Ct values? Relying solely on Ct values for viral load estimation can be problematic due to several reasons. First, Ct values can vary between different quantitative polymerase chain reaction assays, platforms, and laboratories, making it difficult to compare data across studies. Second, Ct values do not directly measure the quantity of viral particles in a sample and they can be influenced by various factors such as initial viral load, sample quality, and assay sensitivity. Moreover, variations in viral RNA extraction and reverse‐transcription steps can further impact the accuracy of viral load estimation, emphasizing the need for careful interpretation of Ct values in viral load assessment. Interestingly, we did not observe scientific articles addressing different strategies to quantify viral load. The absence of standardized and validated methods impedes the implementation of viral load monitoring in clinical management. The variability in cell quantities within samples and the variation in viral particle numbers within infected cells further challenge accurate viral load measurement and interpretation. To advance the field and improve patient outcomes, there is an urgent need for the development and validation of tailored, standardized methods for precise viral load quantification.

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Section: Viral Load and Pandemicsmentioning

confidence: 94%