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We recently showed that patients with different chronic pain conditions (such as chronic low back pain, fibromyalgia, migraine and Gulf War illness) demonstrated elevated brain and/or spinal cord levels of the glial marker 18-kDa translocator protein (TSPO), which suggests that neuroinflammation might be a pervasive phenomenon observable across multiple aetiologically heterogeneous pain disorders. Interestingly, the spatial distribution of this neuroinflammatory signal appears to exhibit a degree of disease specificity (e.g. with respect to the involvement of the primary somatosensory cortex), suggesting that different pain conditions may exhibit distinct ‘neuroinflammatory signatures’. To explore this hypothesis further, we tested whether neuroinflammatory signal can characterize putative aetiological subtypes of chronic low back pain patients based on clinical presentation. Specifically, we explored neuroinflammation in patients whose chronic low back pain either did or did not radiate to the leg (i.e. ‘radicular’ versus ‘axial’ back pain). Fifty-four patients with chronic low back pain, 26 with axial back pain [43.7 ± 16.6 years old (mean ± SD)] and 28 with radicular back pain (48.3 ± 13.2 years old), underwent PET/MRI with 11C-PBR28, a second-generation radioligand for TSPO. 11C-PBR28 signal was quantified using standardized uptake values ratio (validated against volume of distribution ratio; n = 23). Functional MRI data were collected simultaneously to the 11C-PBR28 data (i) to functionally localize the primary somatosensory cortex back and leg subregions; and (ii) to perform functional connectivity analyses (in order to investigate possible neurophysiological correlations of the neuroinflammatory signal). PET and functional MRI measures were compared across groups, cross-correlated with one another and with the severity of ‘fibromyalgianess’ (i.e. the degree of pain centralization, or ‘nociplastic pain’). Furthermore, statistical mediation models were used to explore possible causal relationships between these three variables. For the primary somatosensory cortex representation of back/leg, 11C-PBR28 PET signal and functional connectivity to the thalamus were: (i) higher in radicular compared to axial back pain patients; (ii) positively correlated with each other; (iii) positively correlated with fibromyalgianess scores, across groups; and finally (iv) fibromyalgianess mediated the association between 11C-PBR28 PET signal and primary somatosensory cortex–thalamus connectivity across groups. Our findings support the existence of ‘neuroinflammatory signatures’ that are accompanied by neurophysiological changes and correlate with clinical presentation (in particular, with the degree of nociplastic pain) in chronic pain patients. These signatures may contribute to the subtyping of distinct pain syndromes and also provide information about interindividual variability in neuroimmune brain signals, within diagnostic groups, that could eventually serve as targets for mechanism-based precision medicine approaches.

SummaryBackgroundThe impact of COVID-19 on human health extends beyond the morbidity and death toll directly caused by the SARS-CoV-2 virus. In fact, accumulating evidence indicates a global increase in the incidence of fatigue, brain fog and depression, including among non-infected, since the pandemic onset. Motivated by previous evidence linking those symptoms to neuroimmune activation in other pathological contexts, we hypothesized that subjects examined after the enforcement of lockdown/stay-at-home measures would demonstrate increased neuroinflammation.MethodsWe performed simultaneous brain Positron Emission Tomography / Magnetic Resonance Imaging in healthy volunteers either before (n=57) or after (n=15) the 2020 Massachusetts lockdown, using [11C]PBR28, a radioligand for the glial marker 18 kDa translocator protein (TSPO). First, we compared [11C]PBR28 signal across pre- and post-lockdown cohorts. Then, we evaluated the link between neuroinflammatory signals and scores on a questionnaire assessing mental and physical impacts of the pandemic. Further, we investigated multivariate associations between the spatial pattern of [11C]PBR28 post-lockdown changes and constitutive brain gene expression in post-mortem brains (Allen Human Brain Atlas). Finally, in a subset (n=13 pre-lockdown; n=11 post-lockdown), we also used magnetic resonance spectroscopy to quantify brain (thalamic) levels of myoinositol (mIns), another neuroinflammatory marker.FindingsBoth [11C]PBR28 and mIns signals were overall stable pre-lockdown, but markedly elevated after lockdown, including within brain regions previously implicated in stress, depression and “sickness behaviors”. Moreover, amongst the post-lockdown cohort, subjects endorsing higher symptom burden showed higher [11C]PBR28 PET signal compared to those reporting little/no symptoms. Finally, the post-lockdown [11C]PBR28 signal changes were spatially aligned with the constitutive expression of several genes highly expressed in glial/immune cells and/or involved in neuroimmune signaling.InterpretationOur results suggest that pandemic-related stressors may have induced sterile neuroinflammation in healthy individuals that were not infected with SARS-CoV-2. This work highlights the possible impact of the COVID-19 pandemic-related lifestyle disruptions on human brain health.FundingR01-NS094306-01A1, R01-NS095937-01A1, R01-DA047088-01, The Landreth Family Foundation.

We recently showed elevated levels of the 18kDa translocator protein (TSPO), a marker of neuroinflammation, in chronic low back pain patients (cLBP) compared to healthy controls(Loggia et al., 2015). Here, we test whether TSPO signal 1) can further subtype cLBP patients based on their clinical presentation, and 2) is associated with functional connectivity measures (because neuroinflammation may affect neuronal communication(Clark et al., 2015)). Patients with axial (cLBPAX; n=26; 43.7±16.6 y.o.) or radicular cLBP (cLBPRAD; n=28; 48.3±13.2 y.o.) received an integrated PET/MRI scan with the TSPO ligand [11C]PBR28. TSPO signal was quantified using standardized uptake values normalized by whole-brain signal (SUVR). Functional connectivity from primary somatosensory cortex (S1) (i.e., a region significant in the PET group comparison) was calculated from BOLD resting-state fMRI data. Connectivity and PET measures were compared across groups, correlated with and against each other and against the Fibromyalgia Screening Questionnaire (FSQ) scores, measure of pain “centralization”. Because two different scanners were used (BrainPET: 10 cLBPAX, 15 cLBPRAD; Biograph mMR: 16 cLBPAX, 13 cLBPRAD), scanner was included as a covariate in all analyses. Moreover, PET analyses also included Ala147Thr TSPO genotype, which predicts binding affinity to [11C]PBR28. In S1, TSPO signal and functional connectivity to the thalamus were: 1) higher in cLBPRAD compared to cLBPAX; 2) positively correlated with each other and 3) positively correlated with FSQ scores. Our data support the existence of different “neuroinflammatory signatures” in patients with different clinical presentation and that S1 neuroinflammatory signal is more pronounced in patients with higher pain “centralization”. Further, because S1 TSPO signal was correlated to S1-thalamus connectivity, our data support an association between neuroinflammatory changes and changes in neuronal communication, possibly indicating that the observed alterations reflect “neurogenic neuroinflammation”. Future studies are needed to determine whether neuroinflammation and related connectivity changes are possible therapeutic targets for chronic pain. 1R21NS087472-01A1; 1R01NS095937-01A; 1R01NS094306-01A1; W81XWH-14-1-0543.