FUS as a cause of familial Amyotrophic lateral sclerosis, a case report in a pregnant patient

Hereditary Neuromuscular Disorders in Reproductive Medicine

Neuromuscular disorders (NMDs) encompass a broad range of hereditary and acquired conditions that affect motor units, significantly impacting patients' quality of life and reproductive health. This narrative review aims to explore in detail the reproductive challenges associated with major hereditary NMDs, including Charcot-Marie-Tooth disease (CMT), dystrophinopathies, Myotonic Dystrophy (DM), Facioscapulohumeral Muscular Dystrophy (FSHD), Spinal Muscular Atrophy (SMA), Limb-Girdle Muscular Dystrophy (LGMD), and Amyotrophic Lateral Sclerosis (ALS). Specifically, it discusses the stages of diagnosis and genetic testing, recurrence risk estimation, options for preimplantation genetic testing (PGT) and prenatal diagnosis (PND), the reciprocal influence between pregnancy and disease, potential obstetric complications, and risks to the newborn.

Exploring the cuproptosis-related molecular clusters in the peripheral blood of patients with amyotrophic lateral sclerosis

BACKGROUND

Amyotrophic lateral sclerosis (ALS) is a progressive and lethal neurodegenerative disease. Several studies have suggested the involvement of cuproptosis in its pathogenesis. In this research, we intend to explore the cuproptosis-related molecular clusters in ALS and develop a novel cuproptosis-related genes prediction model.

METHODS

The peripheral blood gene expression data was downloaded from the Gene Expression Omnibus (GEO) online database. Based on the GSE112681 dataset, we investigated the critical cuproptosis-related genes (CuRGs) and pathological clustering of ALS. The immune microenvironment features of the peripheral blood in ALS patients were also examined using the CIBERSORT algorithm. Cluster-specific hub genes were determined by the WGCNA. The most accurate prediction model was selected by comparing the performance of four machine learning techniques. ROC curves and two independent datasets were applied to validate the prediction accuracy. The available compounds targeting these hub genes were filtered to investigate their efficacy in treating ALS.

RESULTS

We successfully determined four critical cuproptosis-related genes and two pathological clusters with various immune profiles and biological characteristics in ALS. Functional analysis showed that genes in Cluster1 were primarily enriched in pathways closely associated with immunity. The Support Vector Machine (SVM) model exhibited the best discrimination properties with a large area under the curve (AUC = 0.862). Five hub prediction genes (BAP1, SMG1, BCLAF1, DHX15, EIF4G2) were selected to establish a nomogram model, suggesting significant risk prediction potential for ALS. The accuracy of this model in predicting ALS incidence was also demonstrated through calibration curves, nomograms, and decision curve analysis. Finally, three drugs targeting BAP1 were determined through drug-gene interactions.

CONCLUSION

This study elucidated the complex associations between cuproptosis and ALS and constructed a satisfactory predictive model to explore the pathological characteristics of different clusters in ALS patients.

Clinical characteristics, course, and outcomes of amyotrophic lateral sclerosis overlapping with pregnancy: a systematic review of 38 published cases

OBJECTIVES

Amyotrophic lateral sclerosis (ALS) is a rare and fatal neurodegenerative disease that can overlap with pregnancy, but little is known about its clinical characteristics, course, and outcomes in this context. This systematic review aimed to synthesize the current evidence on ALS overlapping with pregnancy.

METHODS

We comprehensively searched four databases on February 2, 2023, to identify case studies reporting cases of ALS overlapping with pregnancy. Joanna Brigs Institute tool was followed to assess the quality of the included studies.

RESULTS

Twenty-six articles reporting 38 cases were identified and included in our study. Out of the 38 cases, 18 were aged < 30 years. The onset of ALS was before pregnancy in 18 cases, during pregnancy in 16 cases, and directly after pregnancy in 4 cases. ALS progression course was rapid or severe in 55% of the cases during pregnancy, and this percentage reached 61% in cases with an onset of ALS before pregnancy. While ALS progression course after pregnancy was rapid or severe in 63% and stable in 37% of the cases. Most cases (95%) were able to complete the pregnancy and gave live birth. However, preterm delivery was common. For neonates, 86% were healthy without any complications.

CONCLUSION

While pregnancy with ALS is likely to survive and result in giving birth to healthy infants, it could be associated with rapid or severe progression of ALS and result in a worse prognosis, highlighting the importance of close monitoring and counselling for patients and healthcare providers.