BACKGROUND: Early pregnancy Zika virus (ZIKV) infection is associated with major brain damage in fetuses, leading to microcephaly in 0.6-5.0% of cases, but the underlying mechanisms remain largely unknown.
METHODS: To understand the kinetics of ZIKV infection during fetal development in a nonhuman primate model, four cynomolgus macaque fetuses were exposed in utero through echo-guided intramuscular inoculation with 103 PFU of ZIKV at 70-80 days of gestation, 2 controls were mock inoculated. Clinical, immuno-virological and ultrasound imaging follow-ups of the mother/fetus pairs were performed until autopsy after cesarean section 1 or 2 months after exposure (n = 3 per group).
RESULTS: ZIKV was transmitted from the fetus to the mother and then replicate in the peripheral blood of the mother from week 1 to 4 postexposure. Infected fetal brains tended to be smaller than those of controls, but not the femur lengths. High level of viral RNA ws found after the first month in brain tissues and placenta. Thereafter, there was partial control of the virus in the fetus, resulting in a decreased number of infected tissue sections and a decreased viral load. Immune cellular and humoral responses were effectively induced.
CONCLUSIONS: ZIKV infection during the second trimester of gestation induces short-term brain injury, and although viral genomes persist in tissues, most of the virus is cleared before delivery.

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Biopharmaceutical products are often produced in Chinese hamster ovary (CHO) cell cultures that are vulnerable to virus infections. Therefore, it is a regulatory requirement that downstream purification steps for biopharmaceuticals can remove viruses from feedstocks. Anion exchange chromatography (AEX) is one of the downstream unit operations that is most frequently used for this purpose and claimed for its capability to remove viruses. However, the impact of various process parameters on virus removal by AEX is still not fully understood. Mechanistic modeling could be a promising way to approach this gap, as these models require comparatively few experiments for calibration. This makes them a valuable tool to improve understanding of viral clearance, especially since virus spiking studies are costly and time consuming. In this study, we present how the virus clearance of a MVM mock virus particle by Q Sepharose FF resin can be described by mechanistic modeling. A lumped kinetic model was combined with a steric mass action model and calibrated at micro scale using three linear gradient experiments and an incremental step elution gradient. The model was subsequently verified for its capability to predict the effect of different sodium chloride concentrations, as well as residence times, on virus clearance and was in good agreement with the LRVs of the verification runs. Overall, models like this could enhance the mechanistic understanding of viral clearance mechanisms and thereby contribute to the development of more efficient and safer biopharmaceutical downstream processes.

Viral clearance (VC) studies are routinely required prior to entering clinical trials or for commercial launch of biopharmaceuticals. With increasing prior knowledge and experience, platform validation can be used to eliminate some VC studies and such strategy has been updated into industry guidelines, such as ICH Q5A (R2). In addition, process changes can happen during life-cycle management of a product. In these circumstances, high-risk process parameters need to be identified and corresponding control strategies need to be defined to ensure viral safety of the product. This work describes the design of a science-based risk management tool and how this tool is employed for platform validation and process change scenarios.

This study aimed to retrospectively evaluate the baseline and follow-up viral loads and viral clearance times in cases followed for asymptomatic and symptomatic congenital cytomegalovirus (cCMV) infection between August 2010 and August 2022. Among 93 cases, they had asymptomatic (n: 55) and symptomatic (n: 38). The median baseline blood viral load detected in the symptomatic cCMV (ScCMV) infection (13 054 IU/mL) was significantly higher than that of asymptomatic cCMV (AcCMV) infection (4636 IU/mL) (p < 0.013). There was no difference in median viral clearance times (75 and 90 days, respectively) in baseline viremic cases in the ScCMV and AcCMV infection groups. There were no differences in median baseline blood viral load (6930 IU/mL and 14 268 IU/mL, respectively) and median viral clearance times (75 and 85 days, respectively) between the 6-week and 6-month antiviral treatment group. No correlation was found between baseline blood viral load, clinical severity, and the number of systems involved. However, in initial viremic cases, the viral load threshold for a symptomatic case was 8856 IU/mL, with 85.7% sensitivity and 54.5% specificity.

This retrospective observational study investigates the impact of early COVID-19 therapies, including antivirals and monoclonal antibodies (mAbs), on time to achieve negative swab results in high-risk outpatients infected with specific Omicron sublineages. The study enrolled 104 patients from Luigi Sacco Hospital in Milan between December 2021 and March 2023, categorizing them based on the Omicron sublineage they were infected with (BA.1, BA.2, BA.4/BA.5) and the early treatment they received (antivirals or mAbs). Key data collected included demographic and clinical characteristics, initial and follow-up cycle threshold (Ct) values from qPCR tests, and the interval between swabs. The median age of the participants was 63 years (Interquartile Range [IQR] 54.0-76.5), and 55.8% were male. Among the patients, 15 received mAbs (14.4%), and 99 received antiviral treatments (95.2%) - specifically, Paxlovid (51.9%), Molnupiravir (21.1%), and Remdesivir (12.5%). No patients required hospitalization or experienced mortality during the one-month follow-up period. Regarding Omicron sublineages, 23 patients (22.1%) were infected with BA.1, 53 (51%) with BA.2, and 28 (26.9%) with BA.4/BA.5. The median interval between the initial and follow-up swabs was 6 days (IQR 6.0-7.0). Initial Ct values had a median of 18.5 (IQR 16.5-22.1), which increased to a median of 30.5 (IQR 27.1-33.0) at follow-up, indicating a reduction in viral load. A non-significant trend suggested that patients infected with BA.2 and BA.4/BA.5 sublineages might experience a faster increase in Ct values-indicating quicker viral load reduction - compared to those infected with BA.1, regardless of treatment type. However, this trend did not achieve statistical significance (p=0.609), likely due to the limited sample size and the absence of a clear trend curve. In summary, the study did not find a significant association between specific early therapies and the time to achieve swab negativization. These findings underscore the complex dynamics of viral clearance and highlight the need for further research with larger patient cohorts to refine treatment protocols for high-risk COVID-19 patients.

UNASSIGNED: The relationship between SARS-CoV-2 viral dynamics during acute infection and the development of long COVID is largely unknown.
UNASSIGNED: A total of 7361 asymptomatic community-dwelling people enrolled in the Test Us at Home parent study between October 2021 and February 2022. Participants self-collected anterior nasal swabs for SARS-CoV-2 RT-PCR testing every 24-48 hours for 10-14 days, regardless of symptom or infection status. Participants who had no history of COVID-19 at enrollment and who were subsequently found to have ≥1 positive SARS-CoV-2 RT-PCR test during the parent study were recontacted in August 2023 and asked whether they had experienced long COVID, defined as the development of new symptoms lasting 3 months or longer following SARS-CoV-2 infection. Participant\'s cycle threshold values were converted into viral loads, and slopes of viral clearance were modeled using post-nadir viral loads. Using a log binomial model with the modeled slopes as the exposure, we calculated the relative risk of subsequently developing long COVID with 1-2 symptoms, 3-4 symptoms, or 5+ symptoms, adjusting for age, number of symptoms, and SARS-CoV-2 variant. Adjusted relative risk (aRR) of individual long COVID symptoms based on viral clearance was also calculated.
UNASSIGNED: 172 participants were eligible for analyses, and 59 (34.3%) reported experiencing long COVID. The risk of long COVID with 3-4 symptoms and 5+ symptoms increased by 2.44 times (aRR: 2.44; 95% CI: 0.88-6.82) and 4.97 times (aRR: 4.97; 95% CI: 1.90-13.0) per viral load slope-unit increase, respectively. Participants who developed long COVID had significantly longer times from peak viral load to viral clearance during acute disease than those who never developed long COVID (8.65 [95% CI: 8.28-9.01] vs. 10.0 [95% CI: 9.25-10.8]). The slope of viral clearance was significantly positively associated with long COVID symptoms of fatigue (aRR: 2.86; 95% CI: 1.22-6.69), brain fog (aRR: 4.94; 95% CI: 2.21-11.0), shortness of breath (aRR: 5.05; 95% CI: 1.24-20.6), and gastrointestinal symptoms (aRR: 5.46; 95% CI: 1.54-19.3).
UNASSIGNED: We observed that longer time from peak viral load to viral RNA clearance during acute COVID-19 was associated with an increased risk of developing long COVID. Further, slower clearance rates were associated with greater number of symptoms of long COVID. These findings suggest that early viral-host dynamics are mechanistically important in the subsequent development of long COVID.

Background: Post-acute sequelae of COVID-19, or long COVID, is a condition characterized by persistent COVID-19 symptoms. As long COVID is defined by clinical criteria after an elapsed period, an opportunity for early intervention may aid in future prophylactic approaches; however, at present, the pathobiological mechanisms are multifactorial. By analyzing early virally infected upper respiratory tract tissue prior to eventual clinical diagnosis, it may be possible to identify biomarkers of altered immune response to facilitate future studies and interventions. Methods: This is a sub-group analysis of samples collected from those with confirmed COVID-19. RNA extraction from nasopharyngeal/mid-turbinate samples, sequencing, and bioinformatic analysis were performed to analyze long COVID and non-long COVID cohorts at day 14 post infection. Differences in mean viral load at various timepoints were analyzed as well as serological data. Results: We identified 26 upregulated genes in patients experiencing long COVID. Dysregulated pathways including complement and fibrinolysis pathways and IL-7 upregulation. Additionally, genes involved in neurotransmission were dysregulated, and the long COVID group had a significantly higher viral load and slower viral clearance. Conclusions: Uncovering early gene pathway abnormalities associated with eventual long COVID diagnosis may aid in early identification. We show that, post acute infection, in situ pathogenic deviations in viral response are associated with patients destined to meet consensus long COVID diagnosis that is entirely dependent on clinical factors. These results identify an important biological temporal window in the natural history of COVID-19 infection and long COVID pathogenesis amenable to testing from standard-of-care upper respiratory tract specimens.

BACKGROUND: The immunological determinants of delayed viral clearance and intra-host viral evolution that drive the development of new pathogenic virus strains in immunocompromised individuals are unknown. Therefore, we longitudinally studied SARS-CoV-2-specific immune responses in relation to viral-clearance and evolution in immunocompromised individuals.
METHODS: Among Omicron-infected immunocompromised individuals, we determined SARS-CoV-2-specific T- and B-cell responses, anti-spike IgG(3) titers, neutralization titers, and monoclonal antibody (mAb)-resistance-associated mutations. The 28-day post-enrollment nasopharyngeal specimen defined early (RT-PCR negative ≤28 days) or late (RT-PCR- positive >28 days) viral-clearance.
RESULTS: Of 30 patients included (median age 61.9 years [IQR 47.4-72.3], 50% females), 20 (66.7%) received mAb-therapy. Thirteen (43.3%) demonstrated early and 17 (56.7%) late viral-clearance. Early viral-clearance patients and patients without resistance-associated mutations had significantly higher baseline IFN-γ release and early viral-clearance patients had a higher frequency of SARS-CoV-2-specific B-cells at baseline. In non-mAb-treated patients, day 7 IgG and neutralization titers were significantly higher in those with early versus late viral-clearance.
CONCLUSIONS: An early robust adaptive immune response is vital for efficient viral-clearance and associated with less emergence of mAb-resistance-associated mutations in Omicron-infected immunocompromised patients. This emphasizes the importance of early SARS-CoV-2-specific T- and B-cell responses and thereby provides a rationale for development of novel therapeutic approaches.

OBJECTIVE: In this retrospective cohort study, we aimed to assess clinical effectiveness and viral clearance following the use of molnupiravir, azvudine and paxlovid in hospitalized patients with COVID-19 in China dominated by the omicron BA.5.2 and BF.7 subvariant of SARS-CoV-2.
METHODS: Enrolled patients were assigned to the molnupiravir group or the azvudine group or the paxlovid group or the control group (not taking any antiviral drugs). The primary outcome of the cohort study was viral clearance and viral burden rebound after treatment and the secondary outcome was 28-day all-cause mortality. The four groups were propensity score-matched (1:1). We plotted viral load trends for each antiviral drug intervention using locally weighted regression (LOWESS) smoothed data. Multivariate logistic regression (stepwise algorithm) models were used to determine any risk factors for 28-day mortality.
RESULTS: Of the 1537 patients receiving any treatment, 886 (57.6 %) received molnupiravir, 390 (25.4 %) received azvudine, 94 (6.1 %) received paxlovid, and 167 (10.9 %) did not use any antiviral drugs. Our data analysis showed that age (OR = 1.05, 95 % CI: 1.03-1.07, P < 0.001), Charlson comorbidty index (OR = 1.32, 95 % CI: 1.18-1.48, P < 0.001), severity of COVID-19 (P < 0.001), gamma globulin (OR = 2.04, 95 % CI: 1.03-3.99, P = 0.039) and corticosteroids use (OR = 2.3, 95 % CI: 1.19-4.69, P = 0.017) were independent prognostic factors for 28-day mortality in COVID-19 patients. After propensity score matching (PSM), the paxlovid recipients (OR = 0.22, 95 % CI: 0.05-0.83, P = 0.036) or azvudine recipients (OR = 0.27, 95 % CI: 0.07-0.91, P = 0.046) had lower 28-day mortality compared to their matched controls. Viral rebound occurred in the control group around days 9-16, while no viral rebound was found in any of the three oral antiviral groups. We found that molnupiravir group performed comparably in terms of the rate of nucleic acid conversion negative compared with the paxlovid group, while azvudine group performed slightly worse compared with the paxlovid group or molnupiravir group.
CONCLUSIONS: In our retrospective cohort of hospitalized patients with COVID-19 during the wave of omicron strain, the molnupiravir, paxlovid and azvudine recipients showed a faster and more stable decrease in viral load and rare virus rebound in response to antiviral treatments when compared to the controls. The study supported that initiation treatment with paxlovid and azvudine was associated with significantly lower risk of all-cause death within 28 days.