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. 2025 Oct 6;17(10):1343.
doi: 10.3390/v17101343.

Strain-Specific Variability in Viral Kinetics, Cytokine Response, and Cellular Damage in Air-Liquid Cultures of Human Nasal Organoids After Infection with SARS-CoV-2

Affiliations

Strain-Specific Variability in Viral Kinetics, Cytokine Response, and Cellular Damage in Air-Liquid Cultures of Human Nasal Organoids After Infection with SARS-CoV-2

Gina M Aloisio et al. Viruses. .

Abstract

SARS-CoV-2 variants have demonstrated distinct epidemiological patterns and clinical presentations throughout the COVID-19 pandemic. Understanding variant-specific differences at the respiratory epithelium is crucial for understanding their pathogenesis. Here, we utilized human nasal organoid air-liquid interface (HNO-ALI) cell cultures to compare the viral replication kinetics, innate immune response, and epithelial damage of six different strains of SARS-CoV-2 (B.1.2, WA, Alpha, Beta, Delta, and Omicron). All variants replicated efficiently in HNO-ALIs, but with distinct replication kinetic patterns. The Delta variant exhibited delayed replication kinetics, achieving a steady state at 6 days post-infection compared to 3 days for other variants. Cytokine analysis revealed robust pro-inflammatory and chemoattractant responses (IL-6, IL-8, IP-10, CXCL9, and CXCL11) in WA1, Alpha, Beta, and Omicron infections, while Delta significantly dampened the innate immune response, with no significant induction of IL-6, IP-10, CXCL9, or CXCL11. Immunofluorescence and H&E analysis showed that all variants caused significant ciliary damage, though WA1 and Delta demonstrated less destruction at early time points (3 days post-infection). Together, these data show that, in our HNO-ALI model, the Delta variant employs a distinct "stealth" strategy characterized by delayed replication kinetics and epithelial cell innate immune evasion when compared to other variants of SARS-CoV-2, potentially explaining a mechanism that the Delta variant can use for its enhanced transmissibility and virulence observed clinically. Our findings demonstrate that variant-specific differences at the respiratory epithelium could explain some of the distinct clinical presentations and highlight the utility of the HNO-ALI system for the rapid assessment of emerging variants.

Keywords: SARS-CoV-2; airway organoids; host responses; variants.

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Conflict of interest statement

The authors declare no conflicts of interest.

Figures

Figure 1
Figure 1
Replication kinetics and morphologic analysis of SARS-CoV-2 infected HNO-ALIs. (A) Apical log10 viral gene copy numbers for two HNO-ALIs for strains Washington, B.1.2, Alpha, Beta, Delta, and Omicron, (B) corresponding to basolateral log10 viral gene copy numbers. Error bars (standard deviation) represent two technical replicates of two donor HNO-ALIs. (C). Forest plot demonstrating the adjusted beta coefficient estimate with 95% confidence intervals, represented by dots and T-bars, respectively, between strains of SARS-CoV-2 by days post infection (dpi). (D,E) H&E images of single adult HNO-ALI line at 3 and 6 dpi with six strains of SARS-CoV-2. Scale bar is 100 µm. Black inverted triangles indicate cilia, arrows indicate goblet cells, and asterisks indicate cell damage. (F) Comparison of epithelial area of HNO-ALIs between strains of SARS-CoV-2 or mock infection. (G) Area of epithelium of six strains of SARS-CoV-2 at 3 and 6 dpi. Error bars (standard deviation) represent two technical replicates of two donor HNO-ALIs.
Figure 2
Figure 2
Epithelial cytokine and chemokine response during infection with different strains of SARS-CoV-2. Cytokine/chemokine secretion was modeled on the following factors: infection condition, cell line, cell surface, and dpi. Adjusted odds ratio estimates and their associated 95% confidence intervals are represented by dots and T-bars, respectively. (A) Forest plot showing the adjusted odds ratio with 95% confidence interval for overall cytokine secretion between strains of SARS-CoV-2. (B) Forest plot showing the adjusted odds ratio with 95% confidence interval cytokine expression of IL-6, (C) IL-8, (D) IP-10, (E) CXCL9, and (F) CXCL11.
Figure 3
Figure 3
Epithelial cytokine and chemokine groups during infection with different strains of SARS-CoV-2. Forest plot showing the adjusted odds ratio with 95% confidence interval for grouped cytokine secretion between strains of SARS-CoV-2. Groups include (A) chemoattractant, (B) anti-viral, (C) maturational, (D) metalloproteinases, (E) pro-inflammatory, and (F) regulatory cytokines.
Figure 4
Figure 4
Location of cytokine and chemokine release over time. Cytokine/chemokine secretion was modeled on the following factors: infection condition, cell line, cell surface, and dpi. Forest plot with adjusted odds ratio with 95% confidence intervals of apical or basolateral expression of cytokines. Individual cytokines are listed below their respective groups. Adjusted odds ratio estimates and their associated 95% confidence intervals are represented by dots and T-bars, respectively. Time points are as follows: (A) 1 dpi. (B) 3 dpi. (C) 6 dpi.
Figure 5
Figure 5
Ciliary damage and percentage of basal cells in HNO-ALIs infected with strains of SARS-CoV-2. (A,B) Representative IF imaging of a single adult HNO at 3 and 6 days post-infection (dpi) with six strains of SARS-CoV-2. Basal cells are stained in red by Krt5, ciliated cells are stained in green by acetylated alpha tubulin, SARS-CoV-2 viral particles are stained in gray by anti-spike protein antibody, and cellular nuclei are stained in blue by DAPI. Scale bar is 100 µm. (C) Area of ciliated epithelium in HNO-ALIs infected with strains of SARS-CoV-2 at 3 or 6 dpi. Error bars (standard deviation) represent two technical replicates from two donor HNO-ALIs. (D) Percentage of basal cells (number of Krt5 positive cells/ total cells) in HNO-ALIs infected with strains of SARS-CoV-2 at 3 or 6 dpi. Error bars (standard deviation) represent two technical replicates from two donor HNO-ALIs. (E) Forest plot of mock versus cilia area by virus strain modeled on the following factors: cell line, infection condition, and dpi. Each strain was compared against mock. Adjusted risk ratio estimates and their associated 95% confidence intervals are represented by dots and T-bars, respectively. (F) Forest plot of mock versus percentage of basal cells by viral strain was modeled on the following factors: cell line, infection condition, and dpi. Each strain was compared against mock. Adjusted risk ratio estimates and their associated 95% confidence intervals are represented by dots and T-bars, respectively.
Figure 6
Figure 6
Mucous secretion in HNO-ALIs infected with six strains of SARS-CoV-2. (A,B) Representative IF imaging of a single adult HNO at 3 and 6 days post-infection (dpi) with six strains of SARS-CoV-2. Basal cells are stained in red by Krt5, goblet cells are stained in green by Muc5AC, SARS-CoV-2 viral particles are stained in gray by anti-spike protein antibody, and cellular nuclei are stained in blue by DAPI. Scale bar is 100 µm. (C) The area of mucus (Muc5AC+ area) in HNO-ALIs infected with strains of SARS-CoV-2 at 3 or 6 dpi. Error bars (standard deviation) represent two technical replicates from two donor HNO-ALIs. (D) Percentage of goblet cells (number of Muc5AC positive cells/ total cells) in HNO-ALIs infected with strains of SARS-CoV-2 at 3 or 6 dpi. Error bars (standard deviation) represent two technical replicates from two donor HNO-ALIs. (E) Forest plot of mock versus mucous area by virus strain modeled on the following factors: cell line, infection condition, and dpi. Each strain was compared against mock. Adjusted risk ratio estimates and their associated 95% confidence intervals are represented by dots and T-bars, respectively. (F) Forest plot of mock versus percentage of goblet cells (Muc5AC+ cells with DAPI+ nuclei over total number of DAPI+ cells) by viral strain was modeled on the following factors: cell line, infection condition, and dpi. Each strain was compared against mock. Adjusted risk ratio estimates and their associated 95% confidence intervals are represented by dots and T-bars, respectively.

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Supplementary concepts