1. Introduction
First identified in August 2023, the Omicron subvariant BA.2.86 is characterized by approximately 30 mutations within the spike protein compared to then-dominant XBB lineage viruses. Owing to its high degree of genetic divergence, BA.2.86 was quickly designated a variant under monitoring due to concerns of increased transmissibility and immune evasion; however it ultimately failed to gain significant traction within the population, displaying limited evasion from antibodies elicited by vaccination or prior infection [
1,
2]. The JN.1 variant evolved soon after, distinguished from its predecessor BA.2.86 by a single additional spike protein mutation, L455S [
3,
4]. Unlike BA.2.86, JN.1 spread rapidly. According to the U.S. Centers for Disease Control and Prevention (CDC), JN.1 accounted for less than 0.1% of sequences by the end of October 2023 [
5]. However, by late December, its prevalence soared to 44% of SARS-CoV-2 sequences in the United States. JN.1 continued to outcompete existing XBB lineage variants, such as EG.5.1, becoming the dominant variant worldwide by the end of January. By April, nearly all the publicly available SARS-CoV-2 genetic sequences were derived from JN.1 [
5,
6].
The rapid displacement of XBB lineage variants suggests JN.1 possesses a significant growth advantage, likely driven by its highly mutated spike protein [
7]. JN.1 is antigenically distinct from XBB.1.5, the primary target of updated vaccines at the time, demonstrating markedly increased evasion of neutralizing antibodies compared to previous Omicron variants. Contributing to the enhanced immune escape of JN.1, the characteristic L455S mutation is located at the epitope of the receptor-binding domain of Class I antibodies, conferring enhanced humoral immune resistance. Having retained the antigenic diversity of BA.2.86, JN.1 is similarly resistant to class II and III antibodies [
1,
3]. Interestingly, though its predecessor BA.2.86 displayed a remarkably high ACE2 binding affinity, there is a marked reduction in the ACE2 binding affinity for the JN.1 receptor binding domain. The substantial increase in resistance of JN.1 to neutralizing antibodies in part explains why JN.1 quickly became the dominant variant globally despite BA.2.86 failing to do so [
3]. JN.1-derived variants, including KP.2, KP.3, and XEC, have independently evolved with mutations at F456L and/or R346T. Substitutions at these positions have been identified in previous SARS-CoV-2 variants, including XBB, BQ.1, and EG.5.1, and are associated with enhanced immune evasion owing to their location within target epitopes of neutralizing antibodies [
3,
7]. Studies demonstrate that sera from animals and humans having received the XBB.1.5 monovalent vaccine effectively neutralized XBB.1.5 along with its descendants EG.5.1 and HK.3. Neutralization titers against JN.1, however, are considerably lower. Due to the variant’s significant immune evasion and unprecedented transmissibility, both the World Health Organization (WHO) and the U.S. Food and Drug Administration (FDA) recommend vaccines against COVID-19 be formulated against the JN.1 antigen going forward. This guidance is reflective of the considerable antigenic differences between JN.1 and JN.1-lineage variants from their predecessors [
8].
Animal models are a crucial component of disease research, enabling thorough investigation into viral pathogenesis and host–pathogen interactions. They enable the replication of clinical disease and associated pathology and are central to the preclinical evaluation of therapeutics, vaccines, monoclonal antibodies, and other countermeasures [
8,
9]. Mice are the most common animal model for biomedical research owing to their cost-effectiveness, ease of care, short reproductive cycles, ease of genetic manipulation, and genetic and biologic similarities to humans. Wild-type mice are not naturally permissive to infection with SARS-CoV or the ancestral strain of SARS-CoV-2 but can be rendered susceptible through the transgenic expression of human ACE2 (hACE2), the receptor required for host cell entry. Initially developed to model lethal SARS-CoV infection, the K18-hACE2 mouse model expresses hACE2 under the control of the epithelial cell cytokeratin-18 (K18) promoter, allowing for high-level expression of hACE2 in epithelial cells [
10]. These mice are highly susceptible to SARS-CoV-2 infection, characterized by weight loss, severe respiratory disease, neurological manifestations, and mortality. We have previously established SARS-CoV-2 infection is lethal in the K18-hACE2 model and is accompanied by lung pathology, elevated proinflammatory cytokine production, and detectable viral RNA expression in the brain, lung, olfactory bulb, and nasal turbinates [
9,
11]. The K18-hACE2 model has been widely utilized to characterize differential pathogenesis of a significant number of SARS-CoV-2 variants, offering valuable insights into variant-specific disease outcomes and supporting preclinical evaluation of vaccines and therapeutics. The pathogenesis of viruses belonging to the JN.1 lineage, however, has not yet been fully investigated in this model. This represents a significant knowledge gap, as JN.1, the progenitor of all currently circulating variants, is antigenically distinct from earlier SARS-CoV-2 strains like XBB.1.5. The emergence of JN.1 marked a dramatic shift in SARS-CoV-2 evolution, and in vivo characterization of JN.1-lineage variants is essential for understanding how such antigenic divergence may alter disease outcomes and clinical manifestations, host immune responses, infection-induced pathology, and efficacy of vaccines, therapeutics, and other countermeasures.
In this study, we evaluated the pathogenicity of the SARS-CoV-2 Omicron subvariant JN.1 and its descendant KP.2 in comparison to the previously dominant XBB-lineage subvariant EG.5.1. Using the K18-hACE2 mouse model, we investigated viral replication, tissue tropism, clinical disease outcomes, immune responses, and histopathological changes to define variant-specific pathogenesis.
2. Materials and Methods
2.1. Cells and Viruses
Vero E6-TMPRSS2-T2A-ACE2 cells were obtained from BEI resources (NR-54970) and cultured in Dulbecco’s Modified Eagle’s medium (DMEM) supplemented with 10% fetal bovine serum (FBS) and 2% penicillin-streptomycin at 37 °C and 5% CO2.
The SARS-CoV-2 Omicron subvariants EG.5.1 (BEI Resources, NIAID, NIH: SARS-Related Coronavirus 2, Isolate hCoV-19/USA/MD-HP47946/2023 (Lineage EG.5.1; Omicron Variant), NR-59503), KP.2 (BEI Resources, NIAID, NIH: SARS-Related Coronavirus 2, Isolate hCoV-19/USA/CA-GBW-GKISBBBB26982/2024 (Lineage KP.2), NR-59890), and JN.1 (BEI Resources, NIAID, NIH: SARS-Related Coronavirus 2, Isolate hCoV-19/USA/New York/PV96109/2023 (Lineage JN.1; Omicron Variant), NR-59693) were propagated in Vero E6-TMPRSS2-T2A-ACE2 cells. Briefly, 24 h prior to infection, T-25 culture flasks were seeded with 7 × 105 cells in 5 mL DMEM supplemented with 2% FBS and 2% penicillin-streptomycin and incubated at 37 °C and 5% CO2. Flasks were visually confirmed to be ~60% confluent immediately prior to infection. Media was aspirated from the flasks and replaced with fresh DMEM without additives. Initial virus stocks obtained from BEI were thawed and vortexed prior to inoculation of flasks with 100 μL of virus. Flasks were then incubated for 48 h at 37 °C and 5% CO2. Virus-containing supernatant was then collected, aliquoted, and stored at −80 °C for later use for viral challenge experiments. No additional sequencing was performed on the propagated virus stocks. To determine viral titers, 6-well tissue culture plates were seeded with 2 × 106 cells/well in 2 mL of media. 10-fold dilutions of virus stocks were prepared in DMEM, and 100 μL of each dilution was used to inoculate appropriate wells. Plates were incubated for 1 h, swirling every 15 min. Cells were overlayed with a 1:1 solution of media and 2% agarose solution in diH2O and incubated for 48 h. A second overlay containing 2% neutral red was applied to facilitate plaque visualization. After an additional 24 h incubation, plaques were visualized and enumerated to determine viral titters. All work involving live SARS-CoV-2 was performed in a certified Biosafety Level 3 (BSL-3) laboratory at Georgia State University.
2.2. Mice
All animal experiments involving SARS-CoV-2 were performed in a certified Animal Biosafety Level 3 (ABSL-3) laboratory at Georgia State University. Protocols were approved by the GSU Institutional Animal Care and Use Committee (Protocol #A24003). Hemizygous K18-hACE2 (2B6.Cg-Tg (K18-ACE2)2Prlmn/J) mice aged six weeks were inoculated intranasally with 106 plaque-forming units (PFU) of SARS-CoV-2 as described previously using the Omicron subvariants EG.5.1 (BEI# NR-59503), JN.1 (BEI# NR-59693), and KP.2 (BEI# NR-59890). Approximately equal numbers of male and female mice were used in this study. Animals were weighed and monitored for clinical disease daily. Mice found to be moribund or exhibiting 20% or greater loss of body weight were considered to meet humane endpoint criteria and euthanized. In separate experiments, mice were intranasally inoculated with indicated SARS-CoV-2 variant strains or PBS (mock) and sacrificed at 3 and 6 days post infection. Animals were anesthetized using isoflurane and perfused with 1×PBS or 4% paraformaldehyde (PFA) via cardiac puncture. Brain, lung, and nasal turbinate tissues were collected for further analysis.
2.3. RNA Extraction and Quantitative RT-PCR
Total RNA was extracted from harvested tissues using the Qiagen RNeasy Mini Kit (Qiagen, Venlo, The Netherlands, Cat# 74104) according to the manufacturer’s instructions and quantified using a Nanodrop microvolume spectrophotometer (ThermoFisher, Norcross, GA, USA). cDNA was synthesized from 1000 ng/μL of RNA using the iScriptTM Advanced cDNA Synthesis Kit for RT-qPCR (Bio-Rad, Hercules, CA, USA). The resulting cDNA was diluted with RNAse-free water, and 2 μL of cDNA was used per RT-qPCR. Viral RNA levels were quantified using primers and probes specific for the SARS-CoV-2 nucleocapsid (N) gene (Qiagen Cat# 222015) [
10]. Viral genome copies were quantified by comparison to a standard curve generated using a known amount of RNA extracted from previously titrated SARS-CoV-2 samples [
9].
2.4. Infectious Virus Titration via Plaque Assay
Harvested tissues were weighed and homogenized via a bead mill, followed by centrifugation and titration. Viral titers in tissue homogenates were measured via plaque assay performed on Vero E6-TMPRSS2-T2A cells. Cells were seeded in 6-well plates (5.0 × 10
5 cells/well) and incubated for 24 h at 37 °C to form a monolayer. Tissue homogenates were serially diluted 10-fold in DMEM and applied to wells. Plates were incubated for 1 h at 37 °C and overlaid with 2% agarose. After 48 h of incubation, a second overlay containing 2% neutral red was applied to facilitate plaque visualization [
9,
12].
2.5. Histopathology
Harvested tissues were fixed in 4% PFA at room temperature for 24–48 h, washed with 1×PBS, and transferred to a 30% sucrose in 1×PBS for cryoprotection. Tissues were embedded in optimal cutting temperature (OCT) compound (Tissue-Tek, Torrance, CA, USA), frozen, and subsequently cut into 5–10 μm sections using a cryostat and affixed to charged slides for hematoxylin and eosin staining performed according to manufacturer instructions (Abcam, Cambridge, UK, Cat# ab245880) [
9,
13]. Images were captured using the Invitrogen EVOSTM M5000 Cell Imaging System (Invitrogen, Carlsbad, CA, USA).
2.6. Immunofluorescence Staining
Before staining, frozen slides were warmed at room temperature for 30 min and fixed in cold acetone for 10 min and allowed to air dry. Sections were thoroughly rinsed with PBS-T (0.1% Tween-20 in 1×PBS) and incubated with blocking buffer (PBS-T containing 5% goat serum) for 1 h. Slides were again washed with two changes in PBS-T prior to incubation with primary rabbit anti-SARS-CoV-2 nucleocapsid antibody (Cell Signaling Technologies, 1:500 dilution in blocking buffer) overnight at 4 °C. Following primary antibody incubation, slides were washed with PBS-T and incubated with Alexa Flour 555-conjugated secondary goat anti-rabbit antibody (Invitrogen, 1:500 dilution in blocking buffer) for 30 min. Slides were rinsed with PBS-T, incubated with DAPI for 5 min, rinsed, and mounted using ProlongTM Glass Antifade Mountant [
12,
14]. Images were captured using the Invitrogen EVOSTM M5000 Cell Imaging System.
2.7. Flow Cytometry Analysis
Mice were euthanized at 3 and 6 days post-infection (dpi) with isoflurane and perfused with 1×PBS via cardiac puncture. Lung single-cell suspensions were generated using the gentle MACS tissue dissociator (Miltenyi Biotec, Gladbach, Germany, Cat# 130-093-235). Single-cell suspensions were incubated with Fc Block antibody (BD Pharmingen, San Jose, CA, USA) in BD FACSTM Pre-Sort Buffer (BD Biosciences Cat# 563503) for 10 min. Cells were then incubated with antibodies against the following markers: PerCP Rat Anti-Mouse CD45 (BD Biosciences Cat# 557235), Pe-Cy5.5 Rat Anti-Mouse CD4 (BD Biosciences Cat# 550954), PE-Texas Red Rat Anti-Mouse CD8β (BD Biosciences Cat# 550798), APC-Cy™7 Rat Anti-Mouse CD11b (BD Biosciences Cat# 561039), PE-Texas Red CD11c (Thermofisher Scientific, Cat# MCD11C17), and BD HorizonTM Fixable Viability Stain 575V (BD Biosciences Cat# 565694). Cells were stained for 30 min on ice and fixed (eBioscience, San Diego, CA, USA) according to the manufacturer instructions. Flow cytometry data was obtained using the BD LSRFortessa™ Cell Analyzer, and subsequent data analysis was performed using FlowJo software (version 11), as previously described [
15].
2.8. Statistical Analysis
Statistical analysis was performed using GraphPad Prism version 10.0. Survival curves were generated using the Kaplan–Meier method, and statistical comparisons between variant groups were performed using the log-rank (Mantel–Cox) test. Differences in body weight loss data were analyzed using a mixed-effects model followed by Tukey’s multiple comparison test. Statistical significance for viral titers and RT-qPCR data was determined by either using one-way ANOVA with Tukey’s post hoc analysis or the Kruskal–Wallis test with Dunn’s multiple comparisons test. Differences of p < 0.05 were considered statistically significant.
4. Discussion
The rapid ongoing evolution of SARS-CoV-2 remains a challenge to public health, particularly as new variants alter viral fitness, replication dynamics, tissue tropism, and clinical disease outcomes. As therapeutic, preventative, and diagnostic strategies are re-evaluated, it is equally important to assess how emerging variants interact within established animal models [
10,
12,
13]. Animal models are crucial tools for preclinical research and are essential for understanding variant-specific pathogenesis, testing countermeasures, and predicting disease outcomes. In this study, we characterized the pathogenesis of SARS-CoV-2 Omicron subvariants JN.1, its direct descendant KP.2, and the XBB-lineage variant EG.5.1 in the K18-hACE2 mouse model. These variants were selected based on their evolutionary importance, with JN.1 representing the current parental lineage of all currently circulating strains globally and EG.5.1 representing the previously dominant XBB lineage [
2,
14]. Our results demonstrate remarkable lineage-specific differences in clinical disease, viral replication, neuroinvasion, and immune response, underscoring the importance of continued variant-specific pathogenesis studies. Such research is critical not only for understanding the biology of the recently evolved JN.1 lineage but also for informing vaccine reformulations, therapeutic preparedness, interpretation of variant-driven clinical trends, and providing insight into the ongoing evolution of SARS-CoV-2.
We have previously demonstrated that infection with the parental Omicron variant (B.1.1.529) results in attenuated disease in K18-hACE2 mice, whereas the subsequently dominant Omicron subvariant XBB.1.5 induces severe pulmonary pathology and high mortality [
9,
11,
15]. In this study, a clear divergence in pathogenesis was observed between the JN.1-lineage variants JN.1 and KP.2 and the XBB-lineage variant EG.5.1. Infection with JN.1 or KP.2 was non-lethal in K18-hACE2 mice, characterized by mild, transient clinical disease symptoms and the absence of significant weight loss. These findings are consistent with the decreased disease severity observed in humans infected with JN.1-lineage variants [
6,
16,
17]. Similarly, independent studies have shown that JN.1 causes only mild disease, with no significant weight loss or mortality observed in mice and hamsters. Additional studies have demonstrated that BA.2-descendant variants, including BA.2.86 and JN.1, replicate less efficiently and induce less lung injury than XBB-descendant variants such as EG.5.1 and HK.3 [
17,
18,
19]. Although the JN.1 mutation L455S enhances transmissibility and immune evasion, it simultaneously reduces ACE2 binding affinity, which may contribute to the attenuated disease observed with the JN.1 lineage [
20,
21].
Despite the non-lethal outcome, robust viral replication was observed in both upper and lower respiratory tract tissues following infection. Viral replication was consistently higher in KP.2-infected tissues compared to JN.1-infected tissues at both timepoints, which is consistent with previous reports demonstrating the increased fitness and replication efficiency of KP.2 compared to JN.1 [
4,
22,
23,
24]. By contrast, infection with EG.5.1 resulted in the rapid development of severe clinical disease, ultimately resulting in 100% mortality, closely resembling the lethal disease phenotype we have previously reported with XBB.1.5 [
9]. Viral RNA levels detected in the lungs and nasal turbinates of EG.5.1-infected mice were consistently higher than those infected with JN.1-lineage subvariants. These findings were further supported by the viral plaque assay, with the highest levels of infectious virus found within EG.5.1-infected tissues, indicating more effective replication within the respiratory tissues compared to JN.1-lineage variants.
Although most SARS-CoV-2 infections are mild, severe disease can result from dysregulated host immune responses characterized by uncontrolled viral replication and excessive inflammation, with some cases progressing to acute respiratory distress syndrome (ARDS), which may lead to death [
8,
19,
25]. Consistent with severe pathological changes observed in human cases of COVID-19, H&E staining of EG.5.1-infected lungs revealed extensive pathology marked by diffuse alveolar damage, perivascular cuffing, congestion, thickening of alveolar septum, and immune cell infiltration. In contrast, lung tissues collected from JN.1- and KP.2-infected mice exhibited milder pathology at both timepoints compared to EG.5.1-infected mice, correlating with lower viral loads. Together, these findings suggest EG.5.1 induces more severe and widespread lung pathology than JN.1-lineage variants in this model, consistent with clinical observations in humans [
26].
While SARS-CoV-2 infection is primarily associated with respiratory disease, neurobiological involvement is well documented in both humans and animal models [
27,
28,
29]. Human autopsy studies have identified the presence of SARS-CoV-2 RNA transcripts in the brain, cerebrospinal fluid, and endothelial cells located within the olfactory bulb of deceased individuals [
30]. Clinically, neurological manifestations range in severity from mild symptoms, including headache, anosmia, ageusia, dizziness, and cognitive impairment, to more severe outcomes, including seizure, stroke, encephalitis, encephalopathy, and peripheral neuropathy. Our findings indicate XBB- and JN.1-lineage variants differ in their tissue tropism and neuroinvasive potential. In EG.5.1-infected mice, both viral RNA and infectious virus were detected in brain tissues at both 3 and 6 dpi, consistent with our previous observations of neuroinvasion by XBB.1.5 in the K18-hACE2 model. These results indicate that, like other XBB-lineage variants, EG.5.1 is capable of neuroinvasion and productive infection of the central nervous system [
9]. Alternatively, no infectious virus was detected in the brain tissues of mice infected with JN.1-lineage variants at either timepoint despite robust replication in the upper and lower respiratory tracts. This suggests JN.1-lineage variants exhibit altered tissue tropism relative to earlier Omicron variants and former SARS-CoV-2 variants of concern. Together, these data highlight the neurotropic potential of EG.5.1 and its capacity for extrapulmonary infection. The absence of neuroinvasion by JN.1-lineage viruses in this model further supports their attenuated phenotype.
The host immune response is a critical determinant of COVID-19 disease severity and outcome. Notably, T cell lymphopenia has been associated with more severe clinical presentation, emphasizing the essential role of cellular immunity in the control and clearance of SARS-CoV-2 infection [
31,
32]. In K18-hACE2 mice, EG.5.1 infection led to a marked reduction in pulmonary CD4
+ and CD8
+ T cells at 3 dpi when compared to mock-infected controls. This depletion is consistent with early T cell lymphopenia, suggesting a delayed or suppressed adaptive immune response during the initial stages of infection. By 6 dpi, a significant rebound was observed, particularly within the CD8
+ T cell compartment, which surpassed levels seen in control tissues. These findings indicate a biphasic T cell response to EG.5.1 infection featuring an initial suppression and subsequent expansion. In contrast to the fluctuating T cell response, sustained myeloid cell infiltration was evident throughout infection. At 6 dpi, EG.5.1-infected lungs exhibited increased numbers of CD11b
+, CD11c
+, and CD11b
+CD11c
+ cells, indicating ongoing recruitment or differentiation of myeloid cell populations within the lung tissue. Together these observations illustrate a time-dependent shift in the pulmonary immune response to EG.5.1 infection.
While the K18-hACE2 mouse model provides valuable insight into SARS-CoV-2 pathogenesis, several limitations should be considered. In this model, human ACE2 (hACE2) expression is driven by the non-native cytokeratin-18 promoter, resulting in altered tissue expression compared to endogenous ACE2 expression in humans. Additionally, this model does not account for prior SARS-CoV-2 infection or vaccine-induced immunity, factors that significantly influence infection dynamics and disease outcomes in the human population. Further investigation is needed to determine the role of specific spike mutations in JN.1-lineage variants and how these contribute to lineage-specific differences in replication efficiency, virulence, and tissue tropism observed in this model.
In conclusion, we characterized the pathogenesis of SARS-CoV-2 Omicron subvariants JN.1, KP.2, and EG.5.1 in K18-hACE-2 mice. Our findings demonstrate that infection with JN.1-lineage variants result in significantly attenuated, non-lethal disease. In contrast, EG.5.1 infection led to severe pulmonary disease and 100% mortality. EG.5.1-infected tissues showed the highest levels of RNA and infectious virus in both the upper and lower respiratory tracts, with JN.1-infected tissues showing the lowest levels. The XBB-lineage variant EG.5.1 was found to be neuroinvasive, with viral RNA and infectious virus detected in brain tissues as early as 3 days after infection. In contrast, evidence of infectious virus was not detected in the brain of JN.1- or KP.2-infected mice. This observed lack of neuroinvasion likely reflects altered tissue tropism driven by the extensive spike mutations unique to JN.1-lineage viruses and is consistent with the attenuated phenotype observed in both animal models and human infections.