# Comparative Study of Cytokine Measurements in Blood Plasma and Serum, and Saliva of Juvenile Pigs During Experimentally Induced Acute Inflammation

**Authors:** Pernille Aagaard Madsen, Kevin Jerez-Bogotá, Darya Vodolazska, Charlotte Lauridsen

PMC · DOI: 10.3390/vetsci13010068 · Veterinary Sciences · 2026-01-09

## TL;DR

This study compares cytokine levels in blood and saliva of pigs with induced inflammation, finding that blood samples are reliable while saliva may track specific cytokines.

## Contribution

The study validates serum and plasma as reliable sources for cytokine analysis in juvenile pigs and identifies IL-1α as a potential saliva biomarker for specific inflammation.

## Key findings

- Serum and EDTA plasma showed strong correlation for cytokine levels, making both suitable for blood analysis.
- Saliva had limited correlation with serum cytokines, except for higher IL-1α levels, suggesting potential for specific monitoring.
- TNF-α and IL-6 were the most reliable cytokines in serum during acute inflammation.

## Abstract

Changes in concentrations of 13 cytokines were measured in serum and saliva samples collected over a 72 h period following lipopolysaccharide (LPS) infusion to induce an acute inflammatory response. A strong positive correlation was observed between serum and EDTA plasma concentrations, indicating that either serum or EDTA plasma can be used to obtain reliable measurements of cytokine levels in blood of juvenile pigs. In general, saliva did not correlate with serum for most cytokines, suggesting limited application of such a non-invasive matrix for systemic cytokine monitoring. However, IL-1α was detected at higher concentrations in saliva than in serum, suggesting that saliva may be useful for monitoring specific cytokines under certain inflammatory conditions. In conclusion, serum and plasma were suitable for cytokine analysis, while saliva may be useful for monitoring specific cytokines under certain inflammatory conditions.

This study aimed to assess cytokine levels in blood plasma and serum, and saliva of juvenile pigs in response to acute systemic inflammation. The objectives were to: (1) validate an analytical method for quantifying cytokines in serum; (2) assess the reliability of serum compared to plasma for cytokine quantification; and (3) explore the potential of saliva as a non-invasive alternative for cytokine measurement. Changes in 13 cytokines (IFN-γ, TNF-α, IL-1α, IL-1β, IL-1ra, IL-2, IL-4, IL-6, IL-8, IL-10, IL-12, IL-18 and GM-CSF) were analyzed in serum and saliva samples collected over a 72 h period following lipopolysaccharide (LPS) infusion to induce an acute inflammatory response in 10 juvenile pigs (~28 kg BW). EDTA plasma was collected over the same time period, and a subset of four cytokines (IL-1β, IL-6, IL-10 and IFN-γ) was analyzed to assess correlations with serum concentrations. A strong positive correlation was observed between serum and EDTA plasma levels of IL-1β, IL-6, IL-10 and IFN-γ (r = 0.91–1.00, p < 0.001), indicating that both serum and EDTA plasma can be used to obtain reliable measurements of cytokine concentrations in blood of juvenile pigs. Among the 13 analyzed cytokines in serum, TNF-α and IL-6 appeared as the most reliable cytokines during acute inflammation, peaking at 1 h and between 2 and 3 h post LPS infusion, respectively. In general, saliva did not correlate with serum for most cytokines, suggesting limited application of such a non-invasive matrix for systemic cytokine monitoring. However, IL-1α was detected at higher concentrations in saliva than in serum, suggesting that saliva may be useful for monitoring specific cytokines under certain inflammatory conditions. Further research is needed to clarify the origin and physiological role of salivary cytokines following LPS stimulation. Serum and plasma were suitable for cytokine analysis; however, serum may offer practical advantages by facilitating blood sample handling. Saliva may be useful for monitoring specific cytokines under certain inflammatory conditions.

## Linked entities

- **Proteins:** IFNG (interferon gamma), TNF (tumor necrosis factor), IL1A (interleukin 1 alpha), IL1B (interleukin 1 beta), IL1R1 (interleukin 1 receptor type 1), IL2 (interleukin 2), IL4 (interleukin 4), IL6 (interleukin 6), CXCL8 (C-X-C motif chemokine ligand 8), IL10 (interleukin 10), IL12 (Interleukin 12 level), IL18 (interleukin 18), CSF2 (colony stimulating factor 2)

## Full-text entities

- **Genes:** CSF2 (colony stimulating factor 2) [NCBI Gene 397208] {aka GM-CSF}, IL6 (interleukin 6) [NCBI Gene 399500] {aka IL-6}, CXCL8 (C-X-C motif chemokine ligand 8) [NCBI Gene 396880] {aka AMCF-I, IL8}, IL18 (interleukin 18) [NCBI Gene 397057] {aka IL-18}, IFNG (interferon gamma) [NCBI Gene 396991], IL1B (interleukin 1 beta) [NCBI Gene 397122] {aka IL1B1}, IL1RN (interleukin 1 receptor antagonist) [NCBI Gene 397499] {aka IRAP1}, IL2 (Interleukin 2 level) [NCBI Gene 101055066], IL4 (interleukin 4) [NCBI Gene 397225], IL1A (interleukin 1 alpha) [NCBI Gene 397094] {aka IL-1alpha}, TNF (tumor necrosis factor) [NCBI Gene 397086] {aka TNFSF2, TNFa}, IL10 (Interleukin 10 level) [NCBI Gene 103158318]
- **Diseases:** Acute Inflammation (MESH:D007249)
- **Chemicals:** EDTA (MESH:D004492), LPS (MESH:D008070)
- **Species:** Sus scrofa (pig, species) [taxon 9823]

## Full text

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## Figures

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## References

40 references — full list in the complete paper: https://tomesphere.com/paper/PMC12846541/full.md

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Source: https://tomesphere.com/paper/PMC12846541