Iron accumulation induces oxidative stress, while depressing inflammatory polarization in human iPSC-derived microglia

Iron accumulation in microglia has been observed in Alzheimer’s disease and other neurodegenerative disorders and is thought to contribute to disease progression through various mechanisms, including neuroinflammation. To study this interaction, we treated human induced pluripotent stem cell-derived microglia (iPSC-MG) with iron, in combination with inflammatory stimuli such as interferon gamma (IFN-γ) and amyloid β. Both IFN-γ and iron treatment increased labile iron levels, but only iron treatment led to a consistent increase of ferritin levels, reflecting long-term iron storage. Therefore, in iPSC-MG, ferritin appeared to be regulated by iron revels rather than inflammation. Further investigation showed that while IFN-γ induced pro-inflammatory activation, iron treatment dampened both classic pro- and anti-inflammatory activation on a transcriptomic level. Notably, iron-loaded microglia showed strong upregulation of cellular stress response pathways, the NRF2 pathway, and other oxidative stress pathways. Functionally, iPSC-MG exhibited altered phagocytosis and impaired mitochondrial metabolism following iron treatment. Collectively, these data suggest that in MG, in contrast to current hypotheses, iron treatment does not result in pro-inflammatory activation, but rather dampens it and induces oxidative stress

Machine learning in Huntington’s disease:exploring the Enroll-HD dataset for prognosis and driving capability prediction

Background: In biomedicine, machine learning (ML) has proven beneficial for the prognosis and diagnosis of different diseases, including cancer and neurodegenerative disorders. For rare diseases, however, the requirement for large datasets often prevents this approach. Huntington’s disease (HD) is a rare neurodegenerative disorder caused by a CAG repeat expansion in the coding region of the huntingtin gene. The world’s largest observational study for HD, Enroll-HD, describes over 21,000 participants. As such, Enroll-HD is amenable to ML methods. In this study, we pre-processed and imputed Enroll-HD with ML methods to maximise the inclusion of participants and variables. With this dataset we developed models to improve the prediction of the age at onset (AAO) and compared it to the well-established Langbehn formula. In addition, we used recurrent neural networks (RNNs) to demonstrate the utility of ML methods for longitudinal datasets, assessing driving capabilities by learning from previous participant assessments. Results: Simple pre-processing imputed around 42% of missing values in Enroll-HD. Also, 167 variables were retained as a result of imputing with ML. We found that multiple ML models were able to outperform the Langbehn formula. The best ML model (light gradient boosting machine) improved the prognosis of AAO compared to the Langbehn formula by 9.2%, based on root mean squared error in the test set. In addition, our ML model provides more accurate prognosis for a wider CAG repeat range compared to the Langbehn formula. Driving capability was predicted with an accuracy of 85.2%. The resulting pre-processing workflow and code to train the ML models are available to be used for related HD predictions at: https://github.com/JasperO98/hdml/tree/main . Conclusions: Our pre-processing workflow made it possible to resolve the missing values and include most participants and variables in Enroll-HD. We show the added value of a ML approach, which improved AAO predictions and allowed for the development of an advisory model that can assist clinicians and participants in estimating future driving capability.</p

Generation of human induced pluripotent stem cell lines (LUMCi051-A,B and LUMCi052-A,B,C) of two patients with Spinocerebellar ataxia type 7

Spinocerebellar Ataxia Type 7 (SCA7) is an autosomal dominantly inherited disorder, primarily characterized by cerebellar ataxia and visual loss. SCA7 is caused by a CAG repeat expansion in exon 3 of the ATXN7 gene. We generated human induced pluripotent stem cells (hiPSCs) from peripheral blood-derived erythroblasts from two SCA7 patients (LUMCi051-A,B and LUMCi052-A,B,C) using integration-free episomal vectors. All hiPSC clones express pluripotency factors, show a normal karyotype, and can differentiate into the three germ layers. These lines can be used for in vitro disease modeling and therapy testing.</p

Insoluble TATA-binding protein accumulation in Huntington's disease cortex

Huntington's disease is a dominantly inherited neurological disorder where specific neurodegeneration is caused by an extended polyglutamine stretch in the huntingtin protein. Proteins with expanded polyglutamine regions have the ability to self-aggregate and previous work in our laboratory, and by others, revealed sparse amyloid-like deposits in the Huntington's disease brain, supporting the hypothesis that the polyglutamine stretches may fold into regular P-sheet structures. This process of folding has similarities to other neurodegenerative disorders including Alzheimer's disease, Parkinson's disease, and the prion diseases which all exhibit P-sheet protein accumulation. We were therefore interested in testing the hypothesis that TATA-binding protein may play a role in Huntington's disease as it contains an elongated polymorphic polyglutamine stretch that ranges in size from 26 to 42 amino acids in normal individuals. A proportion of TBP alleles fall within the range of glutamine length that causes neurodegeneration when located in the huntingtin protein. In this study the distribution and cellular localisation of TATA-binding protein was compared to the distribution and cellular localisation of the huntingtin protein in the middle frontal gyrus of Huntington's disease and neurologically normal subjects. Seven different morphological forms of TATA-binding protein-positive structures were detected in Huntington's disease but not in control brain. TATA-binding protein labelling was relatively more abundant than huntingtin labelling and increased with the grade of the disease. At least a proportion of this accumulated TBP exists as insoluble protein. This suggests that TBP may play a role in the disease process

Co-expression patterns of microglia markers Iba1, TMEM119 and P2RY12 in Alzheimer's disease

Microglia have been identified as key players in Alzheimer's disease pathogenesis, and other neurodegenerative diseases. Iba1, and more specifically TMEM119 and P2RY12 are gaining ground as presumedly more specific microglia markers, but comprehensive characterization of the expression of these three markers individually as well as combined is currently missing. Here we used a multispectral immunofluorescence dataset, in which over seventy thousand microglia from both aged controls and Alzheimer patients have been analysed for expression of Iba1, TMEM119 and P2RY12 on a single-cell level. For all markers, we studied the overlap and differences in expression patterns and the effect of proximity to β-amyloid plaques. We found no difference in absolute microglia numbers between control and Alzheimer subjects, but the prevalence of specific combinations of markers (phenotypes) differed greatly. In controls, the majority of microglia expressed all three markers. In Alzheimer patients, a significant loss of TMEM119+-phenotypes was observed, independent of the presence of β-amyloid plaques in its proximity. Contrary, phenotypes showing loss of P2RY12, but consistent Iba1 expression were increasingly prevalent around β-amyloid plaques. No morphological features were conclusively associated with loss or gain of any of the markers or any of the identified phenotypes. All in all, none of the three markers were expressed by all microglia, nor can be wholly regarded as a pan- or homeostatic marker, and preferential phenotypes were observed depending on the surrounding pathological or homeostatic environment. This work could help select and interpret microglia markers in previous and future studies.Comp Graphics & Visualisatio

TBP, a polyglutamine tract containing protein, accumulates in Alzheimer's disease

Alzheimer's disease (AD) is characterised by extra cellular beta-amyloid (betaA) deposition, Tau-containing neurofibrillary tangles (NFTs) and progressive cortical atrophy. Abnormal protein accumulation is also a common feature of other late onset neurodegenerative diseases, including the heritable polyglutamine (polyQ) disorders such as Huntington disease (HD) and the spinocerebellar ataxias (SCAs). One of this family of disorders, SCA17, is caused by an expansion of a polymorphic polyQ repeat in TATA binding protein (TBP), an essential transcription factor. Surprisingly, the wild type TBP repeat length ranges from 25 to 42, and in Caucasian populations the most common allele is 38, a size large enough to cause HD if within the huntingtin protein. Wild type length TBP accumulates in HD and in at least some of the SCAs, and consequently we hypothesised that it may contribute to AD. Here we provide evidence that TBP accumulates in AD brain, localising to neurofibrillary tangle structures. A proportion of TBP present in AD brain is insoluble; a signature of the polyQ diseases. TBP is present differentially between patients and its amount and distribution is not directly proportional to that of Tau or beta-amyloid positive structures. We present this as evidence for the hypothesis that the accumulation or misfolding of this polyQ containing protein may be a contributing factor in Alzheimer's disease

Co-expression Patterns between <i>ATN1</i> and <i>ATXN2</i> Coincide with Brain Regions Affected in Huntington’s Disease

Cytosine-adenine-guanine (CAG) repeat expansions in the coding regions of nine polyglutamine (polyQ) genes (HTT, ATXN1, ATXN2, ATXN3, CACNA1A, ATXN7, ATN1, AR, and TBP) are the cause of several neurodegenerative diseases including Huntington’s disease (HD), six different spinocerebellar ataxias (SCAs), dentatorubral-pallidoluysian atrophy, and spinobulbar muscular atrophy. The expanded CAG repeat length in the causative gene is negatively related to the age-at-onset (AAO) of clinical symptoms. In addition to the expanded CAG repeat length in the causative gene, the normal CAG repeats in the other polyQ genes can affect the AAO, suggesting functional interactions between the polyQ genes. However, there is no detailed assessment of the relationships among polyQ genes in pathologically relevant brain regions. We used gene co-expression analysis to study the functional relationships among polyQ genes in different brain regions using the Allen Human Brain Atlas (AHBA), a spatial map of gene expression in the healthy brain. We constructed co-expression networks for seven anatomical brain structures, as well as a region showing a specific pattern of atrophy in HD patients detected by magnetic resonance imaging (MRI) of the brain. In this HD-associated region, we found that ATN1 and ATXN2 were co-expressed and shared co-expression partners which were enriched for DNA repair genes. We observed a similar co-expression pattern in the frontal lobe, parietal lobe, and striatum in which this relation was most pronounced. Given that the co-expression patterns for these anatomical structures were similar to those for the HD-associated region, our results suggest that their disruption is likely involved in HD pathology. Moreover, ATN1 and ATXN2 also shared many co-expressed genes with HTT, the causative gene of HD, across the brain. Although this triangular relationship among these three polyQ genes may also be dysregulated in other polyQ diseases, stronger co-expression patterns between ATN1 and ATXN2 observed in the HD-associated region, especially in the striatum, may be more specific to HD.Pattern Recognition and Bioinformatic

Molecular investigation of TBP allele length:

Recently, an inherited spinocerebellar ataxia (SCA17) has been attributed to polyglutamine coding expansions within the gene coding for human TATA-box binding protein (TBP). The normal repeat range is 25-42 units with patients having as few as 46 repeats. We undertook a TBP repeat length population study showing its relative stability, skewed distribution, and substantial population specific differences. To investigate the mechanism of neurodegeneration in SCA17 we have developed a cellular model expressing full-length TBP with a range of polyQ expansions. As has been found with other polyQ cellular models, insoluble intracellular inclusions form in a repeat-length-dependent manner. In addition, we have shown that the expanded TBP polyQ tract is able to interact with other overexpressed polyQ-containing proteins. Importantly, overexpression of expanded TBP results in increased Cre-dependent transcriptional activity. As TBP is required for transcription by all RNA polymerases, this may indicate a mechanism for aberrant polyQ gain of function

Spinocerebellar Ataxia Type 1 Characteristics in Patient-Derived Fibroblast and iPSC-Derived Neuronal Cultures

Background: Spinocerebellar ataxia type 1 (SCA1) is a neurodegenerative disease caused by a polyglutamine expansion in the ataxin-1 protein resulting in neuropathology including mutant ataxin-1 protein aggregation, aberrant neurodevelopment, and mitochondrial dysfunction. Objectives: Identify SCA1-relevant phenotypes in patient-specific fibroblasts and SCA1 induced pluripotent stem cells (iPSCs) neuronal cultures. Methods: SCA1 iPSCs were generated and differentiated into neuronal cultures. Protein aggregation and neuronal morphology were evaluated using fluorescent microscopy. Mitochondrial respiration was measured using the Seahorse Analyzer. The multi-electrode array (MEA) was used to identify network activity. Finally, gene expression changes were studied using RNA-seq to identify disease-specific mechanisms. Results: Bioenergetics deficits in patient-derived fibroblasts and SCA1 neuronal cultures showed altered oxygen consumption rate, suggesting involvement of mitochondrial dysfunction in SCA1. In SCA1 hiPSC-derived neuronal cells, nuclear and cytoplasmic aggregates were identified similar in localization as aggregates in SCA1 postmortem brain tissue. SCA1 hiPSC-derived neuronal cells showed reduced dendrite length and number of branching points while MEA recordings identified delayed development in network activity in SCA1 hiPSC-derived neuronal cells. Transcriptome analysis identified 1050 differentially expressed genes in SCA1 hiPSC-derived neuronal cells associated with synapse organization and neuron projection guidance, where a subgroup of 151 genes was highly associated with SCA1 phenotypes and linked to SCA1 relevant signaling pathways. Conclusions: Patient-derived cells recapitulate key pathological features of SCA1 pathogenesis providing a valuable tool for the identification of novel disease-specific processes. This model can be used for high throughput screenings to identify compounds, which may prevent or rescue neurodegeneration in this devastating disease