Age-related differences in immune dynamics in rhesus macaques infected with SARS-CoV-2

NewsGuard 100/100 Score

Since the beginning of the coronavirus disease 2019 (COVID-19) pandemic, it has been noted that advanced age increases the risk of severe complications associated with COVID-19. In advanced age, immune cells undergo changes that result in a vulnerability to infectious diseases, severe disease progression, and poor clinical outcomes. This process is termed immunosenescence and is associated with reduced numbers of naïve B- and T-cells, cytokine dysregulation, defective responses by innate immune subsets, and chronic inflammation due to the accumulation of senescent cells.

Study: Age-related differences in immune dynamics during SARS-CoV-2 infection in rhesus macaques. Image Credit: Ermolaev Alexander / Shutterstock.comStudy: Age-related differences in immune dynamics during SARS-CoV-2 infection in rhesus macaques. Image Credit: Ermolaev Alexander / Shutterstock.com

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

To explore the effects of aging on the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), the virus responsible for COVID-19, several studies involving non-human primates have been conducted. One study on rhesus macaques explains that transcriptional profiling of their lungs 14 days after initial infection found that genes associated with Notch signaling and type-I-interferon were more upregulated in younger animals as compared to older animals, thereby suggesting that age plays a role in regulating these pathways.  

In a recent study published on the preprint server bioRxiv*, the authors explore the relationship between host age and immune response to COVID-19 by conducting a time-resolved evaluation of disease in age-stratified rhesus macaques. The authors attempted to build on previous research by obtaining and testing local and systemic tissue, blood, and bronchoalveolar lavage fluid (BALF) samples.

Study methodology

To effectively evaluate the effect age has on the severity of COVID-19, the authors selected eight aged and eight subadult rhesus macaques to be infected with SARS-CoV-2. A virus dilution of 4x105 TCID50/mL in sterile Dulbecco’s Modified Eagle Medium (DMEM) was administered to all animals through a combination of the ocular, oral, intranasal, and intratracheal routes.

Daily observations were taken of the animals and their clinical signs were scored using a standardized scoring sheet. The animals were also clinically examined on days 0, 1, 3, 5, 7, 10, 14, 17, and 21 post-infection. The animal’s temperature, respiration rate, and body weight were the clinical parameters implemented for the examination days.

Study findings

According to the standardized clinical scoring, older animals displayed increased scores when compared to younger animals. From the clinical examinations, it was observed that by day 21 post-infection, all older animals were still showing signs of mild COVID-19, whereas 3 out of 4 younger animals appeared to have fully recovered. Radiographs also showed increased pulmonary infiltrations in the older animals.

To assess the status of viral replication in the respiratory tracts of the animals, samples were taken and the qualitative reverse transcriptase-polymerase chain reaction (qRT-PCR) assay was performed. In the younger animals, the viral genomic ribonucleic acid (gRNA) clearance from the BALF in the lower respiratory tract was consistent. However, in the cohort of older animals, significant variability was observed.

The authors performed single-cell RNA sequencing in BALF to identify the immune cells present in the lower respiratory tract because of the infection. All major immune cells were detected, including B- and T-cells, macrophages, and neutrophils.

On day 3 post-infection, a substantial difference in the frequency of epithelial cell populations was noted in the older animals, whereas in the younger animals, a higher frequency of BALF T-cells was detected. Also on day 7, the older animals displayed heightened levels of all immune cells, especially monocytes and macrophages, which would suggest inflammation. The immune cells of the younger animals had all returned to baseline levels by day 7, which indicates better regulation of inflammatory responses.

(a) Comparison of clinical scores (y-axis) over the time course of infection (x-axis). Data from individual animals are indicated by dashed lines, group means are shown using solid lines, and the AUC is represented by shading. (b) Ventro-dorsal and lateral radiographs were taken on clinical exam days and scored for the presence of pulmonary infiltrates by a clinical veterinarian according to a standardized scoring system. Individual lobes were scored and scores per animal per day were totaled and displayed in the same format as panel a. (c) Genomic RNA (gRNA, top) and subgenomic RNA (sgRNA, bottom) detected in nasal swabs after inoculation. Data points indicate the geometric mean; error bars represent standard deviation. (d) gRNA and sgRNA quantification in throat swabs. (e) gRNA and sgRNA quantification in bronchoalveolar lavage fluid (BALF). Matched values for individual animals at 3 and 7 dpi are indicated by a connecting line. (f) gRNA and sgRNA quantification in lung samples collected at 7 days post inoculation (dpi). Points represent a single lung lobe section in an individual animal. Grey represents older (O) and green represents younger (Y) rhesus macaques. P-values were calculated using an unpaired t-test test comparing the AUC values (c, d), paired t-test (e), or Mann-Whitney test (f).

Analysis of the transcriptional changes occurring in the dividing cells in BALF revealed the older animals had increased numbers of dividing macrophages, while the younger animals showed more dividing CD8+ T-cells. This shows that the younger animals were capable of recruiting T-cells more efficiently than the older animals.

On day 21 post-infection, the authors performed multiplex immunohistochemistry on lung tissue samples from the animals. The younger animals displayed a higher frequency in the expansion of bronchus-associated lymphoid tissue (BALT) when compared to the older animals. Although BALT was also found in the older animals, it was much less abundant, smaller in size, and lacked proliferative activity.

Implications

Although the mechanism of age-related risk to COVID-19 is not completely understood, the findings from this study highlight that age is a definite risk factor. It could be suggested from these results that dysregulated and/or impaired immune responses in the elderly are major contributing factors to the increased risk of COVID-19.

It is evident that there is a direct correlation between the characteristics of immunosenescence displayed at baseline with the older animals and the immune response dynamics, thereby indicating a decline in immune system efficiency and the control of homeostasis. In the older animals, the dampened immune responses may also be a consequence of the limited priming capacity seen in advanced age due to depleted numbers of naïve T-cells.

This news article was a review of a preliminary scientific report that had not undergone peer-review at the time of publication. Since its initial publication, the scientific report has now been peer reviewed and accepted for publication in a Scientific Journal. Links to the preliminary and peer-reviewed reports are available in the Sources section at the bottom of this article. View Sources

Journal references:

Article Revisions

  • Apr 12 2023 - The preprint preliminary research paper that this article was based upon was accepted for publication in a peer-reviewed Scientific Journal. This article was edited accordingly to include a link to the final peer-reviewed paper, now shown in the sources section.
Colin Lightfoot

Written by

Colin Lightfoot

Colin graduated from the University of Chester with a B.Sc. in Biomedical Science in 2020. Since completing his undergraduate degree, he worked for NHS England as an Associate Practitioner, responsible for testing inpatients for COVID-19 on admission.

Citations

Please use one of the following formats to cite this article in your essay, paper or report:

  • APA

    Lightfoot, Colin. (2023, April 12). Age-related differences in immune dynamics in rhesus macaques infected with SARS-CoV-2. News-Medical. Retrieved on May 12, 2024 from https://www.news-medical.net/news/20210913/Age-related-differences-in-immune-dynamics-in-rhesus-macaques-infected-with-SARS-CoV-2.aspx.

  • MLA

    Lightfoot, Colin. "Age-related differences in immune dynamics in rhesus macaques infected with SARS-CoV-2". News-Medical. 12 May 2024. <https://www.news-medical.net/news/20210913/Age-related-differences-in-immune-dynamics-in-rhesus-macaques-infected-with-SARS-CoV-2.aspx>.

  • Chicago

    Lightfoot, Colin. "Age-related differences in immune dynamics in rhesus macaques infected with SARS-CoV-2". News-Medical. https://www.news-medical.net/news/20210913/Age-related-differences-in-immune-dynamics-in-rhesus-macaques-infected-with-SARS-CoV-2.aspx. (accessed May 12, 2024).

  • Harvard

    Lightfoot, Colin. 2023. Age-related differences in immune dynamics in rhesus macaques infected with SARS-CoV-2. News-Medical, viewed 12 May 2024, https://www.news-medical.net/news/20210913/Age-related-differences-in-immune-dynamics-in-rhesus-macaques-infected-with-SARS-CoV-2.aspx.

Comments

The opinions expressed here are the views of the writer and do not necessarily reflect the views and opinions of News Medical.
Post a new comment
Post

While we only use edited and approved content for Azthena answers, it may on occasions provide incorrect responses. Please confirm any data provided with the related suppliers or authors. We do not provide medical advice, if you search for medical information you must always consult a medical professional before acting on any information provided.

Your questions, but not your email details will be shared with OpenAI and retained for 30 days in accordance with their privacy principles.

Please do not ask questions that use sensitive or confidential information.

Read the full Terms & Conditions.

You might also like...
New SARS-CoV-2 KP.2 variant defies vaccines with higher spread, study warns