# Distinct neuroinflammatory profiles in progressive supranuclear palsy associated with HLA haplotypes

**Authors:** Shelley L Forrest, Sarah S Zaheer, Ain Kim, Hidetomo Tanaka, Helen Chasiotis, Jun Li, Susan H Fox, Jinguo Wang, M Carmela Tartaglia, Anthony E Lang, Gabor G Kovacs

PMC · DOI: 10.1093/braincomms/fcag084 · Brain Communications · 2026-03-11

## TL;DR

This study shows that different HLA gene variations are linked to unique immune and brain changes in a type of brain disease called progressive supranuclear palsy.

## Contribution

The study identifies distinct neuroinflammatory profiles associated with specific HLA haplotypes in progressive supranuclear palsy.

## Key findings

- HLA haplotypes correlate with differences in microglia, T cells, and p-Tau pathology in progressive supranuclear palsy.
- Machine learning identified specific neuroinflammatory marker ratios that distinguish HLA-defined groups.
- Symptom progression sequences vary by HLA haplotype, suggesting a role of immune profiles in disease trajectory.

## Abstract

Progressive supranuclear palsy is a neurodegenerative four-repeat tauopathy characterized by atypical parkinsonism and cognitive behavioural changes and a relatively uniform neuropathology. Building on prior identification of rare HLA (human leukocyte antigen) haplotypes in progressive supranuclear palsy, this study investigates whether these haplotypes correlate with distinct clinical and immunopathological phenotypes. In addition to retrospective collection of clinical data, we evaluated T and B cells, microglia and phosphorylated-tau (p-Tau) cytopathologies in 32 progressive supranuclear palsy cases. Machine learning was used to analyse whether pathological variables and their ratios, or the sequence of clinical symptoms are different HLA-defined groups, including one linked to narcolepsy (DRB1*15:01-DQB1*06:02). Neuropathology revealed regional differences in the severity of microglia load, density of cytotoxic T cells and p-Tau cytopathologies between groups. Machine learning revealed that specific ratios of neuroinflammatory markers reliably distinguished HLA haplotypes. Additionally, symptom progression sequences varied by HLA haplotype, suggesting a potential effect of neuroinflammatory profiles on disease trajectory. These findings support the notion that progressive supranuclear palsy pathology might be associated with various aetiological–pathogenic events rarely including targetable autoimmune mechanisms as well. The HLA haplotype-dependent diversity of neuroinflammatory markers should be evaluated in clinical and biomarker studies in, and beyond, progressive supranuclear palsy to understand its relevance for patient stratification in disease modifying therapy trials.

Progressive supranuclear palsy is a four-repeat tauopathy with atypical parkinsonism and cognitive changes. Forrest et al. report that rare haplotypes of human leukocyte antigen (HLA) associate with distinct clinical and neuropathological profiles of tau and immune cell markers. Machine learning revealed that specific ratios of neuroinflammatory markers reliably distinguished haplotypes.

Graphical Abstract

## Linked entities

- **Proteins:** Mapt (microtubule-associated protein tau)
- **Diseases:** progressive supranuclear palsy (MONDO:0019037), narcolepsy (MONDO:0021107)

## Full-text entities

- **Genes:** HLA-A (major histocompatibility complex, class I, A) [NCBI Gene 3105] {aka HLAA}, MAPT (microtubule associated protein tau) [NCBI Gene 4137] {aka DDPAC, FTD1, FTDP-17, MAPTL, MSTD, MTBT1}, HLA-DRB1 (major histocompatibility complex, class II, DR beta 1) [NCBI Gene 3123] {aka DRB1, HLA-DR1B, HLA-DRB, SS1}, HLA-DQB1 (major histocompatibility complex, class II, DQ beta 1) [NCBI Gene 3119] {aka CELIAC1, HLA-DQB, IDDM1}
- **Diseases:** tauopathy (MESH:D024801), neuroinflammatory (MESH:D000090862), Progressive supranuclear palsy (MESH:D013494), parkinsonism (MESH:D010302), narcolepsy (MESH:D009290)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/PMC13012215/full.md

## References

30 references — full list in the complete paper: https://tomesphere.com/paper/PMC13012215/full.md

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Source: https://tomesphere.com/paper/PMC13012215