Sema4A is implicated in the acceleration of Th17 cell-mediated neuroinflammation in the effector phase

A genome-wide association study coupled with machine learning approaches to identify influential demographic and genomic factors underlying Parkinson's disease

Background: Despite the recent success of genome-wide association studies (GWAS) in identifying 90 independent risk loci for Parkinson's disease (PD), the genomic underpinning of PD is still largely unknown. At the same time, accurate and reliable predictive models utilizing genomic or demographic features are desired in the clinic for predicting the risk of Parkinson's disease. Methods: To identify influential demographic and genomic factors associated with PD and to further develop predictive models, we utilized demographic data, incorporating 200 variables across 33,473 participants, along with genomic data involving 447,089 SNPs across 8,840 samples, both derived from the Fox Insight online study. We first applied correlation and GWAS analyses to find the top demographic and genomic factors associated with PD, respectively. We further developed and compared a variety of machine learning (ML) models for predicting PD. From the developed ML models, we performed feature importance analysis to reveal the predictability of each demographic or the genomic input feature for PD. Finally, we performed gene set enrichment analysis on our GWAS results to identify PD-associated pathways. Results: In our study, we identified both novel and well-known demographic and genetic factors (along with the enriched pathways) related to PD. In addition, we developed predictive models that performed robustly, with AUC = 0.89 for demographic data and AUC = 0.74 for genomic data. Our GWAS analysis identified several novel and significant variants and gene loci, including three intron variants in LMNA (p-values smaller than 4.0e-21) and one missense variant in SEMA4A (p-value = 1.11e-26). Our feature importance analysis from the PD-predictive ML models highlighted some significant and novel variants from our GWAS analysis (e.g., the intron variant rs1749409 in the RIT1 gene) and helped identify potentially causative variants that were missed by GWAS, such as rs11264300, a missense variant in the gene DCST1, and rs11584630, an intron variant in the gene KCNN3. Conclusion: In summary, by combining a GWAS with advanced machine learning models, we identified both known and novel demographic and genomic factors as well as built well-performing ML models for predicting Parkinson's disease.

The possible involvement of sema3A and sema4A in the pathogenesis of multiple sclerosis

BACKGROUND

Immune semaphorins are widely accepted to have functional impact on autoimmune diseases.

OBJECTIVES

To assess the status of sema3A and sema4A in the pathogenesis of Multiple Sclerosis (MS).

RESULTS

Sema3A expression on (T regulatory cells)Tregs was decreased in MS patients, compared to healthy controls (35.85 ± 16.7% vs 88.27 ± 3.8%; p ≤ 0.001). Serum levels of sema3A were decreased in MS patients 2.95 ± 0.43 vs 18.67 ± 5.7 ng/ml in healthy individuals; p ≤ 0.001. Sema4A serum levels were increased in MS patients compared to healthy individuals (12.99 ± 8.6 vs 5.83 ± 3.91 ng/ml; p ≤ 0.001). Sema3A and sema4A serum levels were found to be in negative/positive correlation with MS disease severity (r_s = 0.62, r_s = -0.49, respectively).

CONCLUSION

We show that sema3A is a regulatory molecule in MS, whereas sema4A is a stimulatory one. Targeting sema3A and sema4A could become a potential therapeutic approach in MS.

Transcriptional Analysis-Based Alterations Affecting Neuritogenesis of the Peripheral Nervous System in Psoriasis

An increasing amount of evidence indicates the critical role of the cutaneous nervous system in the initiation and maintenance of psoriatic skin lesions by neurogenic inflammation. However, molecular mechanisms affecting cutaneous neurons are largely uncharacterized. Therefore, we reanalyzed a psoriatic RNA sequencing dataset from published transcriptome experiments of nearly 300 individuals. Using the Ingenuity Pathway Analysis software, we associated several hundreds of differentially expressed transcripts (DETs) to nervous system development and functions. Since neuronal projections were previously reported to be affected in psoriasis, we performed an in-depth analysis of neurite formation-related process. Our in silico analysis suggests that SEMA-PLXN and ROBO-DCC-UNC5 regulating axonal growth and repulsion are differentially affected in non-lesional and lesional skin samples. We identified opposing expressional alterations in secreted ligands for axonal guidance signaling (RTN4/NOGOA, NTNs, SEMAs, SLITs) and non-conventional axon guidance regulating ligands, including WNT5A and their receptors, modulating axon formation. These differences in neuritogenesis may explain the abnormal cutaneous nerve filament formation described in psoriatic skin. The processes also influence T-cell activation and infiltration, thus highlighting an additional angle of the crosstalk between the cutaneous nervous system and the immune responses in psoriasis pathogenesis, in addition to the known neurogenic pro-inflammatory mediators.

Antigen-presenting innate lymphoid cells orchestrate neuroinflammation

Pro-inflammatory T cells in the central nervous system (CNS) are causally associated with multiple demyelinating and neurodegenerative diseases1-6, but the pathways that control these responses remain unclear. Here we define a population of inflammatory group 3 innate lymphoid cells (ILC3s) that infiltrate the CNS in a mouse model of multiple sclerosis. These ILC3s are derived from the circulation, localize in proximity to infiltrating T cells in the CNS, function as antigen-presenting cells that restimulate myelin-specific T cells, and are increased in individuals with multiple sclerosis. Notably, antigen presentation by inflammatory ILC3s is required to promote T cell responses in the CNS and the development of multiple-sclerosis-like disease in mouse models. By contrast, conventional and tissue-resident ILC3s in the periphery do not appear to contribute to disease induction, but instead limit autoimmune T cell responses and prevent multiple-sclerosis-like disease when experimentally targeted to present myelin antigen. Collectively, our data define a population of inflammatory ILC3s that is essential for directly promoting T-cell-dependent neuroinflammation in the CNS and reveal the potential of harnessing peripheral tissue-resident ILC3s for the prevention of autoimmune disease.

Unraveling Axon Guidance during Axotomy and Regeneration

During neuronal development and regeneration axons extend a cytoskeletal-rich structure known as the growth cone, which detects and integrates signals to reach its final destination. The guidance cues “signals” bind their receptors, activating signaling cascades that result in the regulation of the growth cone cytoskeleton, defining growth cone advance, pausing, turning, or collapse. Even though much is known about guidance cues and their isolated mechanisms during nervous system development, there is still a gap in the understanding of the crosstalk between them, and about what happens after nervous system injuries. After neuronal injuries in mammals, only axons in the peripheral nervous system are able to regenerate, while the ones from the central nervous system fail to do so. Therefore, untangling the guidance cues mechanisms, as well as their behavior and characterization after axotomy and regeneration, are of special interest for understanding and treating neuronal injuries. In this review, we present findings on growth cone guidance and canonical guidance cues mechanisms, followed by a description and comparison of growth cone pathfinding mechanisms after axotomy, in regenerative and non-regenerative animal models.

Semaphorin 4A restricts tumor progression by inhibiting angiogenesis of oral squamous cell carcinoma cells

OBJECTIVE

To investigate the effects of Semaphorin 4A (Sema4A) on the angiogenesis, migration and invasion of oral squamous cell carcinoma (OSCC) cells.

METHODS

Sema4A expression in OSCC patients was detected by Immunohistochemistry, and its relationship with clinicopathological features and prognosis of patients was analyzed. The mRNA and protein expression of Sema4A in primary human oral keratinocytes (HOKs) and OSCC cells (SCC-25, HSC-3, CAL-27) were determined by Western blotting and qRT-PCR. After HOKs, HSC-3 cells and SCC-25 cells transfected with Control/Sema4A CRISPR activation plasmid, the migration and invasion abilities were detected by Wound healing and Transwell invasion. Tube formation assay was also performed on endothelial cells and the contents of VEGF and bFGF were quantified using qRT-PCR and ELISA.

RESULTS

Cytoplasmic Sema4A expression was related to T classification, clinical stage and nodal metastasis of OSCC patients. Patients with low cytoplasmic Sema4A expression showed the higher microvessel density (MVD) and the poorer prognosis in OSCC. Compared with HOK, OSCC cells (SCC-25, HSC-3, CAL-27) declined apparently in Sema4A expression, which was much more significant in metastatic HSC-3 and SCC-25 cells. After HOKs, HSC-3 cells and SCC-25 cells transfected with Sema4A over-expression plasmid, the invasion and migration abilities were decreased. Besides, overexpression of Sema4A could significantly inhibit the tube formation of HUVEC induced by OSCC cells with reductions of angiogenic factors (VEGF and bFGF).

CONCLUSION

Over-expression of Sema4A could restrict tumor progression through inhibiting the angiogenesis, invasion and migration of OSCC cells.