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CORRECTION article

Front. Immunol., 19 August 2025

Sec. Viral Immunology

Volume 16 - 2025 | https://doi.org/10.3389/fimmu.2025.1685215

This article is part of the Research TopicImmunological Regulation to Enteroviruses and Respiratory Viruses: Infection and Vaccination ResponsesView all 11 articles

Correction: High-dimensional single-cell phenotyping unveils persistent differences in immune cell profiles between severe and moderate seasonal influenza

  • Frontiers Media SA, Lausanne, Switzerland

A Correction on
High-dimensional single-cell phenotyping unveils persistent differences in immune cell profiles between severe and moderate seasonal influenza

By Bodin J, Tunheim G, Kristoffersen AB, Herstad TK, Vianello E, Haks MC, van Veen S, Wæhre T, Kran A-MB, Lartey SL, Zhou F, Cox RJ, Ottenhoff THM, Dyrhol-Riise AM, Nygaard UC, Oftung F and Mjaaland S (2025). Front. Immunol. 16:1576861. doi: 10.3389/fimmu.2025.1576861

The figures were in the wrong order. Figure 2 and Figure 5 were displayed incorrectly and should be swapped. The correct Figure 2 and Figure 5 appear below. The order has now been corrected.

Figure 2
Panel A shows a t-SNE plot with cell clusters in different colors, labeled U0 to U11. Panel B presents a lineage tree diagram with nodes corresponding to cell types. Panel C consists of multiple graphs displaying cell frequency percentages across age, with box plots comparing groups labeled S, M, T, and C, differentiated by infection severity and recovery stage. The x-axis of these graphs represents age or infection stages, and the y-axis shows cell frequency as a percentage of PBMCs. Statistical significance is indicated with asterisks.

Figure 2. Differences in unstimulated cell population frequencies between severely and moderately ill patients. (A) A FlowSOM-generated t-SNE plot based on expression of all markers on cells from all samples at both timepoints (n = 59). Eleven clusters (U1–U11, illustrated by unique colors) had significantly different cell frequencies between severe and moderately ill patients during active infection (T1). (B) Hierarchical tree for all unique clusters (U1– U24); clusters that are significant for at least one comparison are named. Colors correspond to the group comparisons that were significant. (C) Boxplots/line plots of the percentage of cells per group in each of the 11 clusters from 2a. Dependency of age and sex was tested and used to define the plot type. ST1: severe during acute infection, T1 (n = 12), MT1: moderate T1 (n = 15), ST2: severe during convalescence, T2 (n = 5), MT2: moderate T2 (n = 11), C: control (n = 15), ST1F = 5 women, ST1M = 8 men, MT1F = 8 women, MT1M = 7 men, ST2M = 5 men, MT2F = 6 women, ST2M = 5 men, CF = 7 women, and CM = 8 men. There were no women among the severely ill patients at T2. Dots represent individual participants, the box indicates median with 25th and 75th percentiles, and the whiskers indicate the 1.5 × interquartile range (IQR). Line plots show the predicted value with 95% confidence interval. *adj p < 0.05, **adj p < 0.01, ***adj p < 0.001, binomial regression with FDR-adjusted for 92 clusters. Line plots show the median with predicted value and with 95% confidence interval. FlowSOM, flow self-organizing map; FDR, false discovery rate.

Figure 5
A three-part figure includes: A) A PCA plot displaying clusters for control, moderate T1, moderate T2, severe T1, and severe T2 groups, differentiated by colored ellipses. B) A box plot showing relative CD4 gene expression with statistically significant differences between groups indicated by asterisks. C) A graph highlighting differential gene expression between various conditions, with gene names and significance levels labeled.

Figure 5. Differential gene expression in moderately and severely ill patients compared to healthy controls. (A) Scaled principal component analysis (PCA) plot representing individuals, status, and timepoint. (B) CD4 gene expression in severely and moderately ill patients at infection and convalescence and in healthy controls. Each point represents an individual, box plot shows group median with 25th and 75th percentiles, and whiskers indicate 1.5 × interquartile range (IQR). Differences were analyzed by linear regression analysis. (C) Differentially expressed genes (DEGs) at infection and convalescence between all participant groups. The vertical axis (y-axis) corresponds to the fold change (axis on log2 scale), and the FDR-adjusted p- values are indicated as significance levels in parentheses. Red color represents genes with higher expression, and blue color represents genes with lower expression. N = 230 (severe at infection, n = 41; moderate at infection, n = 50; severe at convalescence, n = 23; moderate at convalescence, n = 37; control, n = 79). *adj p < 0.05, **adj p < 0.01, ***adj p < 0.001. IQR, interquartile range; FDR, false discovery rate.

The original version of this article has been updated.

Keywords: influenza, hospitalization, disease severity, mass cytometry, immune profiling, biomarkers

Citation: Frontiers Production Office (2025) Correction: High-dimensional single-cell phenotyping unveils persistent differences in immune cell profiles between severe and moderate seasonal influenza. Front. Immunol. 16:1685215. doi: 10.3389/fimmu.2025.1685215

Received: 13 August 2025; Accepted: 13 August 2025;
Published: 19 August 2025.

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