Network-Based Analysis for the Quantification of Brain and Body Immune Axes with Total-Body PET Imaging

The brain has long been viewed as an isolated immune-privileged organ. However, growing evidence suggests a critical role of the interplay between central and peripheral inflammation in pathologic conditions. This highlights the urgent need for novel system-level analysis approaches to study the complex brain-body cross-talk during immune responses. This study aims to validate network analysis of total-body 18-kDa translocator protein (TSPO) PET imaging for studying brain and body immune axes. <b>Methods:</b> Two graph-based analysis frameworks were tested with total-body PET imaging and the third-generation TSPO radioligand [<sup>18</sup>F]LW223 in 2 mouse models of lipopolysaccharide-induced systemic infection (<i>n</i> = 31) and pharmacologic blocking (<i>n</i> = 19) with LW223. First, a perturbation covariance approach was adopted in the study of individualized deviation from the normative/reference interorgan immune covariance network; then, an interscan connectivity analysis was used to investigate intragroup and between-group similarities in whole-body TSPO expression patterns. <b>Results:</b> Application of the perturbation covariance approach showed increased deviations from the reference interorgan covariance network 2 h (<i>t</i>-statistic = 3.74; <i>P</i> = 8.88 × 10<sup>-4</sup>) and 24 h (<i>t</i>-statistic = 4.02; <i>P</i> = 4.23 × 10<sup>-4</sup>) after lipopolysaccharide challenge, with a 7-d recovery after infection (<i>t</i>-statistic = 0.03; <i>P</i> = 0.98), reflecting previous general evidence of a time-dependent immune response to lipopolysaccharide infection. Additionally, the perturbation approach revealed a widespread dose-specific increase in deviations after blocking agent administration, with a magnitude of deviations and several extreme deviations increasing with dose (<i>F</i>-statistic = 37.67; <i>P</i> = 2.33 × 10<sup>-6</sup>). Interscan connectivity analysis confirmed strong alterations from the physiologic whole-body TSPO expression pattern 24 h after the lipopolysaccharide challenge and after administration of high-dose blocking agent. <b>Conclusion:</b> To our knowledge, this study represents the first application of network analysis to total-body TSPO PET data, supporting its adoption in the study of systemic immune responses for diagnosing immune-related conditions and evaluating immune therapies.

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Journal
Journal of Nuclear Medicine
Published
2026-02-05
DOI
https://doi.org/10.2967/jnumed.125.271514
Primary Topic
Single-cell and spatial transcriptomics
Type
article
Field-Weighted Citation Impact
0.00

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article

Network-Based Analysis for the Quantification of Brain and Body Immune Axes with Total-Body PET Imaging

Agne Knyzeliene, Carlos J. Alcaide‐Corral, Martyn C. Henry, Adriana A.S. Tavares et al.
Journal of Nuclear Medicine
Single-cell and spatial transcriptomics
article

Network-Based Analysis for the Quantification of Brain and Body Immune Axes with Total-Body PET Imaging

Agne Knyzeliene, Carlos J. Alcaide‐Corral, Martyn C. Henry, Adriana A.S. Tavares, Victoria JM Reid, Timaeus E.F. Morgan, Andrew Sutherland, Lucia Maccioni
article en

Abstract

The brain has long been viewed as an isolated immune-privileged organ. However, growing evidence suggests a critical role of the interplay between central and peripheral inflammation in pathologic conditions. This highlights the urgent need for novel system-level analysis approaches to study the complex brain-body cross-talk during immune responses. This study aims to validate network analysis of total-body 18-kDa translocator protein (TSPO) PET imaging for studying brain and body immune axes. <b>Methods:</b> Two graph-based analysis frameworks were tested with total-body PET imaging and the third-generation TSPO radioligand [<sup>18</sup>F]LW223 in 2 mouse models of lipopolysaccharide-induced systemic infection (<i>n</i> = 31) and pharmacologic blocking (<i>n</i> = 19) with LW223. First, a perturbation covariance approach was adopted in the study of individualized deviation from the normative/reference interorgan immune covariance network; then, an interscan connectivity analysis was used to investigate intragroup and between-group similarities in whole-body TSPO expression patterns. <b>Results:</b> Application of the perturbation covariance approach showed increased deviations from the reference interorgan covariance network 2 h (<i>t</i>-statistic = 3.74; <i>P</i> = 8.88 × 10<sup>-4</sup>) and 24 h (<i>t</i>-statistic = 4.02; <i>P</i> = 4.23 × 10<sup>-4</sup>) after lipopolysaccharide challenge, with a 7-d recovery after infection (<i>t</i>-statistic = 0.03; <i>P</i> = 0.98), reflecting previous general evidence of a time-dependent immune response to lipopolysaccharide infection. Additionally, the perturbation approach revealed a widespread dose-specific increase in deviations after blocking agent administration, with a magnitude of deviations and several extreme deviations increasing with dose (<i>F</i>-statistic = 37.67; <i>P</i> = 2.33 × 10<sup>-6</sup>). Interscan connectivity analysis confirmed strong alterations from the physiologic whole-body TSPO expression pattern 24 h after the lipopolysaccharide challenge and after administration of high-dose blocking agent. <b>Conclusion:</b> To our knowledge, this study represents the first application of network analysis to total-body TSPO PET data, supporting its adoption in the study of systemic immune responses for diagnosing immune-related conditions and evaluating immune therapies.

Journal of Nuclear Medicine
University of Padua (IT), King's College London (GB), University of Glasgow (GB), University of Edinburgh (GB)
Silicon Valley Community Foundation, Wellcome Trust, British Heart Foundation, Rosetrees Trust, Engineering and Physical Sciences Research Council
Good health and well-being
Openalex Percentile: Top 66%
Single-cell and spatial transcriptomics
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