Neuropathology and Applied Neurobiology最新文献

Aims: FGFR-fused central nervous system (CNS) tumours are rare and are usually within the glioneuronal and neuronal tumours or the paediatric-type diffuse low-grade glioma spectrum. Among this spectrum, FGFR2 fusion has been documented in tumours classified by DNA-methylation profiling as polymorphous low-grade neuroepithelial tumours of the young (PLNTY), a recently described tumour type. However, FGFR2 fusions have also been reported in glioneuronal tumours, highlighting the overlapping diagnostic criteria and challenges.

Methods: We investigated the FGFR2 fusion landscape in a French national series of tumours sent to the RENOCLIP-LOC network. We comprehensively analysed histology, radiology and molecular data including DNA-methylation profiling for 16 FGFR2-fused glioneuronal tumours.

Results: Most tumours were located in the temporal or parietal lobe with a median age at diagnosis of 7 years [1-44]. Epilepsy was the most frequent symptom. Five patients had tumour progression or recurrence with a median progression-free survival of 22.6 months. Histological phenotypes corresponding to PLNTY, GG, MVNT or unclassified tumours were recorded. Epigenetic profiling could not properly distinguish epigenetic clusters related to the GG and PLNTY methylation classes among FGFR2-fused glioneuronal tumours. However, a neuroradiological review identified strikingly distinct neuroradiological patterns.

Conclusion: While delineating tumour types among the FGFR2-fused glioneuronal tumour spectrum, by histopathology or DNA-methylation profiling, remains challenging, neuroimaging data revealed two distinct patterns that could correlate to PLNTY and ganglioglioma. However, more series including extensive histo-radio-molecular data are needed to confirm this hypothesis.

Aims: Glioblastoma is the most malignant primary brain tumour. Even with standard treatment comprising surgery followed by radiation and concomitant temozolomide (TMZ) chemotherapy, glioblastoma remains incurable. Almost all patients with glioblastoma relapse owing to various intrinsic and extrinsic resistance mechanisms of the tumour cells. Glioblastomas are densely infiltrated with tumour-associated microglia and macrophages (TAMs). These immune cells affect the tumour cells in experimental studies and are associated with poor patient survival in clinical studies. The aim of the study was to investigate the impact of microglia on glioblastoma chemo-resistance.

Methods: We co-cultured patient-derived glioblastoma spheroids with microglia at different TMZ concentrations and analysed cell death. In addition, we used RNA sequencing to explore differentially expressed genes after co-culture. Immunostaining was used for validation.

Results: Co-culture experiments showed that microglia significantly increased TMZ resistance in glioblastoma cells. RNA sequencing revealed upregulation of a clear interferon-stimulated gene (ISG) expression signature in the glioblastoma cells after co-culture with microglia, including genes such as IFI6, IFI27, BST2, MX1 and STAT1. This ISG expression signature is linked to STAT1 signalling, which was confirmed by immunostaining. The ISG expression profile observed in glioblastoma cells with enhanced TMZ resistance corresponded to the interferon-related DNA damage resistance signature (IRDS) described in different solid cancers.

Conclusions: Here, we show that the IRDS signature, linked to chemo-resistance in other cancers, can be induced in glioblastoma by microglia. ISG genes and the microglia inducing the ISG expression could be promising novel therapeutic targets in glioblastoma.

Aims: Cerebral small vessel diseases (SVDs) involve diverse pathologies of the brain's small blood vessels, leading to cognitive deficits. Cerebral magnetic resonance imaging (MRI) reveals white matter hyperintensities (WMHs), lacunes, microbleeds and enlarged perivascular spaces in SVD patients. Although correlations of MRI and histopathology help to understand the pathogenesis of SVD, they do not explain disease progression. Mouse models, both genetic and sporadic, are valuable for studying SVD, but their resemblance to clinical SVD is unclear. The study examined similarities and differences between mouse models of SVDs and human nonamyloid SVD specimens.

Methods: We analysed four mouse models of SVD (hypertensive BPH mice, Col4a1 mutants, Notch3 mutants and Htra1^-/- mice) at different stages for changes in myelin, blood-brain barrier (BBB) markers, immune cell populations and immune activation. The observations from mouse models were compared with human SVD specimens from different regions, including the periventricular, frontal, central and occipital white matter. Postmortem MRI followed by MBP immunostaining was used to identify white matter lesions (WMLs).

Results: Only Notch3 mutant and hypertensive BPH mice showed significant changes in myelin basic protein (MBP) immunostaining, correlating with MRI patterns. These changes were linked to altered microglial morphology and focal plasma protein staining around blood vessels, without peripheral immune cell infiltration. In human specimens, both normal-appearing white matter (NAWM) and WMLs lacked peripheral cell infiltration. However, WMLs displayed altered microglial morphology, reduced myelin staining and occasional fibrinogen staining around arterioles and venules.

Conclusions: Our data show that Notch3 mutants and hypertensive BPH/2J mice recapitulate several features of human SVD, including microglial activation, focal sites of demyelination and perivascular plasma protein leakage without peripheral immune cell infiltration.

The dentate gyrus (DG) plays a critical role in hippocampal circuitry, providing a "gate-like" function to the downstream cornu ammonis (CA) sectors. Despite this critical role, pathologies in DG are less commonly described than those in the CA sectors in the diagnosis of mesial temporal lobe epilepsy (mTLE). To elucidate the role of the DG in mTLE, we analysed hippocampal sclerosis (HS), no-HS, non-TLE epilepsy control, and non-epilepsy control cohorts using morphometry and gene expression profiling techniques. Morphometry techniques analysed DG cell spacing, nucleus size, and nucleus circularity. Our data show distinct DG morphometry and RNA expression profiles between HS and No-HS. Dentate granule cells are more dispersed in patients with HS, and the DG shows an elevated expression of the complement system, apoptosis, and extracellular matrix remodelling-related RNA. We also observe an overall decrease in neurogenesis-related RNA in HS DG. Interestingly, regardless of the pathological diagnosis, the DG morphometry correlates with post-operative outcomes. Increased cell spacing is observed in the DG of mTLE cases that achieve seizure freedom post-operatively. This study reveals the possible prognostic value of DG morphometry, as well as supporting the notion that HS and no-HS TLE may be distinct disease entities with differing contributing mechanisms.

Aims: Spinal muscular atrophy (SMA) is a life-limiting paediatric motor neuron disease characterised by lower motor neuron loss, skeletal muscle atrophy and respiratory failure, if untreated. Revolutionary treatments now extend patient survival. However, a limited understanding of the foundational neuropathology challenges the evaluation of therapeutic success. As opportunities to study treatment-naïve tissue decrease, we have characterised spinal cord pathology in severe infantile SMA using gold-standard techniques, providing a baseline to measure treatment success and therapeutic limitations.

Methods: Detailed histological analysis, stereology and transmission electron microscopy were applied to post-mortem spinal cord from severe infantile SMA patients to estimate neuron number at the end of life; characterise the morphology of ventral horn, lateral horn and Clarke's column neuron populations; assess cross-sectional spinal cord area; and observe myelinated white matter tracts in the clinically relevant thoracic spinal cord.

Results: Ventral horn neuron loss was substantial in all patients, even the youngest cases. The remaining ventral horn neurons were small with abnormal, occasionally chromatolytic morphology, indicating cellular damage. In addition to ventral horn pathology, Clarke's column sensory-associated neurons displayed morphological features of cellular injury, in contrast to the preserved sympathetic lateral horn neurons. Cellular changes were associated with aberrant development of grey and white matter structures that affected the overall dimensions of the spinal cord.

Conclusions: We provide robust quantification of the neuronal deficit found at the end of life in SMA spinal cord. We question long-accepted dogmas of SMA pathogenesis and shed new light on SMA neuropathology out with the ventral horn, which must be considered in future therapeutic design.

Aims: Glioblastoma patients have a dismal prognosis, due to inevitable tumour recurrence and respond poorly to immunotherapy. Tumour-associated microglia/macrophages (TAMs) dominate the glioblastoma tumour microenvironment and have been implicated in tumour progression and immune evasion. Early recurrent glioblastomas contain focal reactive regions with occasional fibrosis, chronic inflammation, TAMs and tumour cells. Surgical specimens from these tumours are rare and provide crucial insights into glioblastoma recurrence biology. This study aimed to characterise TAM- and lymphocyte phenotypes in primary vs early- and late-recurrent glioblastomas.

Methods: Patient-matched primary and recurrent glioblastomas were compared between patients with early recurrences (n = 11, recurrence ≤6 months) and late recurrences (n = 12, recurrence after 12-19 months). Double-immunofluorescence stains combining Iba1 with HLA-DR, CD14, CD68, CD74, CD86, CD163, CD204 and CD206 along with stains for CD20, CD3, CD8 and FOXP3 were quantified with software-based classifiers.

Results: Reactive regions in early recurrent tumours contained more TAMs (31.4% vs 21.7%, P = 0.01), which showed increased expression of CD86 (59.4% vs 38.4%, P = 0.04), CD204 (48.5% vs 28.4%, P = 0.03), CD206 (25.5% vs 14.4%, P = 0.04) and increased staining intensity for CD163 (86.4 vs 57.7 arbitrary units, P = 0.02), compared to late recurring tumours. Reactive regions contained more B-lymphocytes compared to patient-matched primary tumours (0.71% vs 0.40%, P = 0.04). Fractions of total, cytotoxic and regulatory T-lymphocytes did not differ.

Conclusions: Early recurrent glioblastomas showed enrichment for TAMs, expressing both pro- and anti-inflammatory markers and B-lymphocytes. This may indicate a time-dependent response to immunotherapy explained by time-dependent alterations in the immune-microenvironment in recurrent glioblastomas.

Aims: Although the neuroanatomical distribution of tau and amyloid-β is well studied in Alzheimer's disease (AD) (non)-amnestic clinical variants, that of neuroinflammation remains unexplored. We investigate the neuroanatomical distribution of activated myeloid cells, astrocytes, and complement alongside amyloid-β and phosphorylated tau in a clinically well-defined prospectively collected AD cohort.

Methods: Clinical variants were diagnosed antemortem, and brain tissue was collected post-mortem. Typical AD (n = 10), behavioural/dysexecutive AD (n = 6), posterior cortical atrophy (PCA) AD (n = 3), and controls (n = 10) were neuropathologically assessed for AD neuropathology, concurrent pathology including Lewy body disease, limbic-predominant age-related TDP-43 encephalopathy neuropathologic change (LATE-NC), and vascular pathology. For quantitative assessment, we analysed the corticolimbic distribution of phosphorylated tau, amyloid-β, CD68, MHC-II, C4b, and glial fibrillary acidic protein (GFAP) using digital pathology.

Results: Phosphorylated tau was distinctly distributed in each variant. In all variants, amyloid-β was neocortical-dominant, with a notable increase in the middle frontal cortex of behavioural/dysexecutive AD. Typical AD and PCA AD had no concurrent Lewy body disease, whereas three out of six cases with behavioural/dysexecutive AD did. LATE-NC stage >0 was observed in three AD cases, two typical AD (stage 1/3), and one behavioural/dysexecutive AD (stage 2/3). Vascular pathology was present in each variant. In typical AD, CD68 and MHC-II were hippocampal-dominant. In behavioural/dysexecutive AD, C4b was elevated in the middle frontal and inferior parietal cortex. In PCA AD, MHC-II was increased in the fusiform gyrus, and GFAP in parietal cortices. Correlations between AD neuropathology and neuroinflammation were distinct within variants.

Conclusions: Our data suggests that different involvement of neuroinflammation may add to clinical heterogeneity in AD, which has implications for neuroinflammation-based biomarkers and future therapeutics.

Aims: DNA methylation profiling, recently endorsed by the World Health Organisation (WHO) as a pivotal diagnostic tool for brain tumours, most commonly relies on bead arrays. Despite its widespread use, limited data exist on the technical reproducibility and potential cross-institutional differences. The LOGGIC Core BioClinical Data Bank registry conducted a prospective laboratory comparison trial with 12 international laboratories to enhance diagnostic accuracy for paediatric low-grade gliomas, focusing on technical aspects of DNA methylation data generation and profile interpretation under clinical real-time conditions.

Methods: Four representative low-grade gliomas of distinct histologies were centrally selected, and DNA extraction was performed. Participating laboratories received a DNA aliquot and performed the DNA methylation-based classification and result interpretation without knowledge of tumour histology. Additionally, participants were required to interpret the copy number profile derived from DNA methylation data and conduct DNA sequencing of the BRAF hotspot p.V600 due to its relevance for low-grade gliomas. Results had to be returned within 30 days.

Results: High technical reproducibility was observed, with a median pairwise correlation of 0.99 (range 0.94-0.99) between coordinating laboratory and participants. DNA methylation-based tumour classification and copy number profile interpretation were consistent across all centres, and BRAF mutation status was accurately reported for all cases. Eleven out of 12 centres successfully reported their analysis within the 30-day timeframe.

Conclusion: Our study demonstrates remarkable concordance in DNA methylation profiling and profile interpretation across 12 international centres. These findings underscore the potential contribution of DNA methylation analysis to the harmonisation of brain tumour diagnostics.