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Zhou W, Xu R. Current insights in the molecular genetic pathogenesis of amyotrophic lateral sclerosis. Front Neurosci 2023; 17:1189470. [PMID: 37638324 PMCID: PMC10448825 DOI: 10.3389/fnins.2023.1189470] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/19/2023] [Accepted: 07/27/2023] [Indexed: 08/29/2023] Open
Abstract
Amyotrophic lateral sclerosis (ALS) is a progressive and fatal neurodegenerative disease that leads to the massive loss of motor neurons in cerebrum, brain stem and spinal cord. It affects not only motor neurons but also other neurons and glial cells, resulting in the progressive muscle atrophy, the severe disability and the eventual death due to the respiratory failure. The pathogenesis of ALS is not fully understood. Currently, several factors are considered to be involved in the pathogenesis of ALS, such as genetic factors, imbalances in protein homeostasis, RNA metabolism disorders, mitochondrial dysfunctions, glutamate-mediated excitatory toxicities and intra-neuronal material transport disorders in neurons. The study of genetic mutations related to ALS pathogenesis will link the molecular and cellular mechanisms of the disease, thus enhancing the understanding of its occurrence and progression, thereby providing new insights for the pathogenesis of ALS. This review summarizes the current insights in the molecular genetic pathogenesis of ALS.
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Affiliation(s)
- Wan Zhou
- Medical College of Nanchang University, Nanchang, China
- Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, The Clinical College of Nanchang Medical College, Nanchang, China
| | - Renshi Xu
- Medical College of Nanchang University, Nanchang, China
- Department of Neurology, Jiangxi Provincial People’s Hospital, The First Affiliated Hospital of Nanchang Medical College, The Clinical College of Nanchang Medical College, Nanchang, China
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Khani M, Nafissi S, Shamshiri H, Moazzeni H, Taheri H, Elahi E. Identification of RNF13 as cause of recessively inherited ALS in a multi-case pedigree. J Med Genet 2022; 60:jmedgenet-2022-108645. [PMID: 35879052 DOI: 10.1136/jmg-2022-108645] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2022] [Accepted: 07/05/2022] [Indexed: 11/04/2022]
Abstract
BACKGROUND Amyotrophic lateral sclerosis (ALS) is the most common motor neuron disease. The approximately 50 known ALS-associated genes do not fully explain its heritability, which suggests the existence of yet unidentified causative genes. We report results of studies aimed at identification of the genetic cause of ALS in a pedigree (three patients) without mutations in the common ALS-causative genes. METHODS Clinical investigations included thorough neurological and non-neurological examinations and testings. Genetic analysis was performed by exome sequencing. Functional studies included identification of altered splicing by PCR and sequencing, and mutated proteins by western blot analysis. Apoptosis in the presence and absence of tunicamycin was assessed in transfected HEK293T cells using an Annexin-PE-7AAD kit in conjunction with flow cytometry. RESULTS Clinical features are described in detail. Disease progression in the patients of the pedigree was relatively slow and survival was relatively long. An RNF13 mutation was identified as the cause of the recessively inherited ALS in the pedigree. The gene is highly conserved, and its encoded protein (RING finger protein 13) can potentially affect various neurodegenerative-relevant functions, including protein homeostasis. The RNF13 splice site mutation caused expression of two mis-spliced forms of RNF13 mRNA and an aberrant RNF13 protein, and affected apoptosis. CONCLUSION RNF13 was identified as a novel causative gene of recessively inherited ALS. The gene affects protein homeostasis, which is one of most important components of the pathology of neurodegeneration. The contribution of RNF13 to the aetiology of another neurodegenerative disease is discussed.
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Affiliation(s)
- Marzieh Khani
- School of Biology, College of Science, University of Tehran, Tehran, The Islamic Republic of Iran
| | - Shahriar Nafissi
- Department of Neurology, Tehran University of Medical Sciences, Tehran, The Islamic Republic of Iran
| | - Hosein Shamshiri
- Department of Neurology, Tehran University of Medical Sciences, Tehran, The Islamic Republic of Iran
| | - Hamidreza Moazzeni
- School of Biology, College of Science, University of Tehran, Tehran, The Islamic Republic of Iran
| | - Hanieh Taheri
- School of Biology, College of Science, University of Tehran, Tehran, The Islamic Republic of Iran
| | - Elahe Elahi
- School of Biology, College of Science, University of Tehran, Tehran, The Islamic Republic of Iran
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Wang J, Xue Y, Zhou L. Comparison of immune cells and diagnostic markers between spondyloarthritis and rheumatoid arthritis by bioinformatics analysis. J Transl Med 2022; 20:196. [PMID: 35509008 PMCID: PMC9066892 DOI: 10.1186/s12967-022-03390-y] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/24/2022] [Accepted: 04/09/2022] [Indexed: 12/19/2022] Open
Abstract
Background Spondyloarthritis (SpA) and rheumatoid arthritis (RA) are chronic autoimmune diseases, but they are usually difficult to distinguish in the early stage of the diseases. The purpose of this study is to explore the differences of immune mechanism and diagnostic markers through bioinformatics analysis. Methods First, microarray datasets from patients with SpA, RA and normal controls were obtained from the Gene Expression Omnibus (GEO) database. The differentially expressed genes (DEGs) between groups were identified in R software. Functional and pathway enrichment of DEGs were analyzed by David database. Then, we screened the hub genes using Cytoscape plugin, and constructed the protein–protein interaction (PPI) network and heatmap of hub genes. After that, CIBERSORT was used to evaluate the differences and connections of immune cells in SpA and RA, and screened out diagnostic markers. Correlation analysis was used to analyze the relationship between immune cells and diagnostic markers. Finally, quantitative real-time polymerase chain reaction (qRT‐PCR) was used to verify the effectiveness of immunodiagnostic markers. Results We obtained three datasets, from which we can see that the functional enrichment of DEGs is mainly in cell chemotaxis, lymphocyte activation, primary immunodeficiency and other immune responses. The difference of immune cells between SpA, RA and normal control was concentrated in B, T lymphocytes cells, macrophages and dendritic cells. C19orf12 + S1PR3 is most associated with these immune cells and S1PR3 can be used as a diagnostic marker of this kind of immune diseases. In addition, MZB1 + XIST is closely related to T cells, NK cells and dendritic cells, and is expected to be used as a marker to distinguish the two diseases. Conclusion Although the clinical manifestations of SpA and RA are similar, the pathogenesis is different. The screening of immune cells and diagnostic markers provides a more accurate target for the treatment of this kind of diseases. Supplementary Information The online version contains supplementary material available at 10.1186/s12967-022-03390-y.
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Affiliation(s)
- Jiaqian Wang
- Department of Orthopaedic, Wuxi No.5 People's Hospital, Wuxi, 214000, China.
| | - Yuan Xue
- Department of Orthopaedic, Wuxi Ninth People's Hospital of Soochow University, Wuxi, 214000, China
| | - Liang Zhou
- Department of Orthopaedic, Lianshui County Hospital, Huai'an, 223001, China.
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Paparella G, Ceccanti M, Colella D, Cannavacciuolo A, Guerra A, Inghilleri M, Berardelli A, Bologna M. Bradykinesia in motoneuron diseases. Clin Neurophysiol 2021; 132:2558-2566. [PMID: 34479133 DOI: 10.1016/j.clinph.2021.08.006] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/23/2021] [Accepted: 08/07/2021] [Indexed: 10/20/2022]
Abstract
OBJECTIVE Only few studies investigated voluntary movement abnormalities in patients with motoneuron diseases (MNDs) or their neurophysiological correlates. We aimed to kinematically assess finger tapping abnormalities in patients with amyotrophic lateral sclerosis (ALS) and primary lateral sclerosis (PLS), as compared to healthy controls (HCs), and their relationship with motoneuron involvement. METHODS Fourteen ALS and 5 PLS patients were enrolled. Finger tapping was assessed by a motion analysis system. Patients underwent a central motor conduction time assessment, a motor nerve conduction study, and needle electromyography. Data were compared to those of 79 HCs using non-parametric tests. Possible relationships between clinical, kinematic, and neurophysiological data were assessed in patients. RESULTS As a major finding, ALS and PLS patients performed finger tapping slower than HCs. In both conditions, movement slowness correlated with muscle strength. In ALS, movement slowness also correlated with the amplitude of the compound muscle action potential recorded from the muscles involved in the task and with denervation activity. No correlations were found between slowness, measures of upper motoneuron involvement, and other clinical and neurophysiological data. CONCLUSIONS This study provides novel information on voluntary movement abnormalities in MNDs. SIGNIFICANCE The results highlight the pathophysiological role of motoneurons in generating movement slowness.
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Affiliation(s)
| | - Marco Ceccanti
- Department of Human Neurosciences, Sapienza University of Rome, Italy
| | - Donato Colella
- Department of Human Neurosciences, Sapienza University of Rome, Italy
| | | | | | | | - Alfredo Berardelli
- IRCCS Neuromed Pozzilli (IS), Italy; Department of Human Neurosciences, Sapienza University of Rome, Italy.
| | - Matteo Bologna
- IRCCS Neuromed Pozzilli (IS), Italy; Department of Human Neurosciences, Sapienza University of Rome, Italy
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Cheng J, Liu HP, Lin WY, Tsai FJ. Identification of contributing genes of Huntington's disease by machine learning. BMC Med Genomics 2020; 13:176. [PMID: 33228685 PMCID: PMC7684976 DOI: 10.1186/s12920-020-00822-w] [Citation(s) in RCA: 6] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/26/2020] [Accepted: 11/12/2020] [Indexed: 02/06/2023] Open
Abstract
Background Huntington’s disease (HD) is an inherited disorder caused by the polyglutamine (poly-Q) mutations of the HTT gene results in neurodegeneration characterized by chorea, loss of coordination, cognitive decline. However, HD pathogenesis is still elusive. Despite the availability of a wide range of biological data, a comprehensive understanding of HD’s mechanism from machine learning is so far unrealized, majorly due to the lack of needed data density.
Methods To harness the knowledge of the HD pathogenesis from the expression profiles of postmortem prefrontal cortex samples of 157 HD and 157 controls, we used gene profiling ranking as the criteria to reduce the dimension to the order of magnitude of the sample size, followed by machine learning using the decision tree, rule induction, random forest, and generalized linear model. Results These four Machine learning models identified 66 potential HD-contributing genes, with the cross-validated accuracy of 90.79 ± 4.57%, 89.49 ± 5.20%, 90.45 ± 4.24%, and 97.46 ± 3.26%, respectively. The identified genes enriched the gene ontology of transcriptional regulation, inflammatory response, neuron projection, and the cytoskeleton. Moreover, three genes in the cognitive, sensory, and perceptual systems were also identified. Conclusions The mutant HTT may interfere with both the expression and transport of these identified genes to promote the HD pathogenesis.
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Affiliation(s)
- Jack Cheng
- Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan.,Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan
| | - Hsin-Ping Liu
- Graduate Institute of Acupuncture Science, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan
| | - Wei-Yong Lin
- Graduate Institute of Integrated Medicine, College of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan. .,Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan. .,Brain Diseases Research Center, China Medical University, Taichung, 40402, Taiwan.
| | - Fuu-Jen Tsai
- Department of Medical Research, China Medical University Hospital, Taichung, 40447, Taiwan. .,School of Chinese Medicine, China Medical University, Taichung, 40402, Taiwan. .,Department of Biotechnology, Asia University, Taichung, 41354, Taiwan. .,Children's Medical Center, China Medical University Hospital, Taichung, 40447, Taiwan.
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Perrone B, Conforti FL. Common mutations of interest in the diagnosis of amyotrophic lateral sclerosis: how common are common mutations in ALS genes? Expert Rev Mol Diagn 2020; 20:703-714. [PMID: 32497448 DOI: 10.1080/14737159.2020.1779060] [Citation(s) in RCA: 21] [Impact Index Per Article: 4.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/18/2023]
Abstract
INTRODUCTION Amyotrophic lateral sclerosis (ALS) is a complex neurodegenerative disease predominantly affecting upper and lower motor neurons. Diagnosis of this devastating pathology is very difficult because the high degree of clinical heterogeneity with which it occurs and until now, no truly effective treatment exists. AREAS COVERED Molecular diagnosis may be a valuable tool for dissecting out ALS complex heterogeneity and for identifying new molecular mechanisms underlying the characteristic selective degeneration and death of motor neurons. To date, pathogenic variants in ALS genes are known to be present in up to 70% of familial and 10% of apparently sporadic ALS cases and can be associated with risks for ALS only or risks for other neurodegenerative diseases. This paper shows the procedure currently used in diagnostic laboratories to investigate most frequent mutations in ALS and evaluating the utility of involved molecular techniques as potential tools to discriminate 'common mutations' in ALS patients. EXPERT OPINION Genetic testing may allow for establishing an accurate pathological diagnosis and a more precise stratification of patient groups in future drug trials.
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Affiliation(s)
- Benedetta Perrone
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria , Arcavacata di Rende (Cosenza), Italy
| | - Francesca Luisa Conforti
- Department of Pharmacy, Health and Nutritional Sciences, University of Calabria , Arcavacata di Rende (Cosenza), Italy
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Khani M, Shamshiri H, Fatehi F, Rohani M, Haghi Ashtiani B, Akhoundi FH, Alavi A, Moazzeni H, Taheri H, Ghani MT, Javanparast L, Hashemi SS, Haji-Seyed-Javadi R, Heidari M, Nafissi S, Elahi E. Description of combined ARHSP/JALS phenotype in some patients with SPG11 mutations. Mol Genet Genomic Med 2020; 8:e1240. [PMID: 32383541 PMCID: PMC7336765 DOI: 10.1002/mgg3.1240] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/03/2020] [Revised: 03/11/2020] [Accepted: 03/20/2020] [Indexed: 12/11/2022] Open
Abstract
Background SPG11 mutations can cause autosomal recessive hereditary spastic paraplegia (ARHSP) and juvenile amyotrophic lateral sclerosis (JALS). Because these diseases share some clinical presentations and both can be caused by SPG11 mutations, it was considered that definitive diagnosis may not be straight forward. Methods The DNAs of referred ARHSP and JALS patients were exome sequenced. Clinical data of patients with SPG11 mutations were gathered by interviews and neurological examinations including electrodiagnosis (EDX) and magnetic resonance imaging (MRI). Results Eight probands with SPG11 mutations were identified. Two mutations are novel. Among seven Iranian probands, six carried the p.Glu1026Argfs*4‐causing mutation. All eight patients had features known to be present in both ARHSP and JALS. Additionally and surprisingly, presence of both thin corpus callosum (TCC) on MRI and motor neuronopathy were also observed in seven patients. These presentations are, respectively, key suggestive features of ARHSP and JALS. Conclusion We suggest that rather than ARHSP or JALS, combined ARHSP/JALS is the appropriate description of seven patients studied. Criteria for ARHSP, JALS, and combined ARHSP/JALS designations among patients with SPG11 mutations are suggested. The importance of performing both EDX and MRI is emphasized. Initial screening for p.Glu1026Argfs*4 may facilitate SPG11 screenings in Iranian patients.
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Affiliation(s)
- Marzieh Khani
- School of Biology, College of Science, University of Tehran, Tehran, Iran
| | - Hosein Shamshiri
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Farzad Fatehi
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Mohammad Rohani
- Department of Neurology, Hazrat Rasool Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Bahram Haghi Ashtiani
- Department of Neurology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Fahimeh Haji Akhoundi
- Department of Neurology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Afagh Alavi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Hamidreza Moazzeni
- School of Biology, College of Science, University of Tehran, Tehran, Iran
| | - Hanieh Taheri
- School of Biology, College of Science, University of Tehran, Tehran, Iran
| | - Mina Tolou Ghani
- School of Biology, College of Science, University of Tehran, Tehran, Iran
| | - Leila Javanparast
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | - Seyyed Saleh Hashemi
- Genetics Research Center, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
| | | | - Matineh Heidari
- Department of Neurology, Firoozgar Hospital, Iran University of Medical Sciences, Tehran, Iran
| | - Shahriar Nafissi
- Department of Neurology, Shariati Hospital, Tehran University of Medical Sciences, Tehran, Iran
| | - Elahe Elahi
- School of Biology, College of Science, University of Tehran, Tehran, Iran
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