High Temporal Stability of Adaptive Immune Signatures Amid Widespread Transcriptomic Fluctuation

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Summary of  Nature Communications,  https://doi.org/10.1038/s41467-026-73218-6 
Dr. Neha Mishra  et al.

Points

Longitudinal RNA-sequencing of 333 healthy individuals revealed that 85% of genes and 99% of transcripts show greater intra-individual temporal variation than inter-individual differences.
Gene expression levels accounted for baseline differences between individuals, whereas alternative splicing mechanisms drove the majority of dynamic intra-individual fluctuations over six months.
Over 4,000 genes exhibited systematic seasonal shifts, transitioning from immune signaling dominance in winter to circadian and metabolic gene expression during summer months.
A stable 15% subset of genes linked to T and B cell function showed high heritability and provided a persistent, highly individualized immunological signature.
Female participants demonstrated persistently higher temporal gene expression variability than males, highlighting the clinical necessity of adjusting for sex and temporal variables during biomarker discovery.

Summary

This study evaluated the natural temporal variability of peripheral blood gene expression profiles to establish a reference map for clinical biomarker translation. Transcriptomic profiling offers a non-invasive diagnostic modality, yet cross-sectional studies frequently fail to distinguish disease-associated alterations from baseline physiological fluctuations. Researchers conducted longitudinal RNA-sequencing across 333 healthy volunteers sampled three times over six months (evaluating approximately 14,000 genes per draw), with validation across an independent twin cohort (148 monozygotic and 166 dizygotic pairs) and a cross-sectional cohort of 3,480 individuals.

Analyses revealed that 85% of evaluated genes and 99% of distinct transcripts displayed greater intra-individual variation over time than inter-individual variation between participants. While alternative splicing predominated as a driver of intra-individual temporal fluctuations, steady-state gene expression levels dictated inter-individual differences. Notably, a conserved subset comprising approximately 15% of genes—concentrated in T-cell and B-cell immune pathways—demonstrated high temporal stability, high heritability, and unique person-specific signatures. Furthermore, environmental and physiological drivers accounted for widespread expression shifts, including over 4,000 genes displaying seasonal variation between summer and winter, along with persistently higher temporal variability in female participants regardless of menopausal status.

These findings demonstrate that single-point blood transcriptomic snapshots risk misidentifying normal temporal noise as pathological disease markers. Given that intra-individual fluctuation dominates the human blood transcriptome, longitudinal sampling protocols and explicit adjustments for biological variables—such as season, time of day, and sex—are essential to optimize biomarker discovery and prevent spurious associations in cross-sectional studies.

Link to the article: https://www.nature.com/articles/s41467-026-73218-6

References

Mishra, N., Kimmig, F., Vandeputte, D., Talevi, V., De Commer, L., Verspecht, C., Vich Vila, A., El-Sayed Moustafa, J. S., Kreft, L., Botzki, A., El Darzi, Y., Proost, S., Devolder, L., Wang, D., Bernardes, J. P., Aziz, N. A., Franke, A., Schreiber, S., Dermitzakis, E. T., … Rosenstiel, P. (2026). Large-scale analysis of temporal gene expression variation in peripheral blood. Nature Communications, 17(1), 6992. https://doi.org/10.1038/s41467-026-73218-6