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One of the fatal and debilitating neurodegenerative diseases is amyotrophic lateral sclerosis (ALS). Increasing age is one of the risk factors of ALS. Considering that the elderly population in the world is increasing, it is very important to identify useful and effective diagnostic and treatment methods. The purpose of this systematic review is to determine the relationship between chitotriosidase (CHIT1) level and ALS disorder.Keywords “Amyotrophic Lateral Sclerosis”, “Gehrig* Disease”, “Charcot Disease”, “Guam Disease”, ALS, CHIT1 and chitotriosidase were searched in PubMed, Scopus, Web of Science and Science Direct databases without time limit on September 2023. Hundred twenty studies were obtained by searching, and finally, 14 studies were included in this study using the inclusion and exclusion criteria. In all 14 selected studies, the level of biomarker CHIT1 in the CSF of ALS patients was significantly higher than that of healthy control and disease control groups. But, in 8 studies that included 3 groups, no significant difference was observed between the CHIT1 levels in the two control groups. Six studies have reported the amount of CHIT1 level quantitatively. Among these 6 studies, in 5 studies CHIT1 level in disease control was higher than healthy control (not significant) and in only one study CHIT1 level was higher in healthy control compared to disease control (not significant).In all 14 studies, a multifold increase in CHIT1 levels has been observed in patients compared to healthy and disease control groups. Therefore, based on the findings of the studies, this study confirms the relationship between CHIT1 increase and ALS disorder. [ABSTRACT FROM AUTHOR]

Background and Purpose Methods Results Conclusions The human visual system relies on neural networks throughout the brain that are easily accessible for tests exploring eye structures and movements. Over the past two decades, investigations have been carried out on both afferent and efferent components of the visual system in people with amyotrophic lateral sclerosis (ALS). This approach might represent an innovative biomarker research strategy to better characterise the phenotypic variability of ALS. The purpose of this review was to determine whether exploring the visual system of patients with ALS (pwALS) is an effective strategy.The Medline and Web of science databases were searched for studies with terms relating to ALS and vision. Of 1146 references identified, 43 articles were included.In this review article, both afferent and efferent components of the visual system were found to be impaired in pwALS in the absence of visual complaint, thereby contributing to the hypothesis that ALS is a multisystem disease with sensory involvement. Of note, some areas of the eye remain unexplored (i.e., tears, and retinal function using electroretinography).According to the findings available in the literature, investigating the oculomotor system and exploring the ocular surface could represent two key promising strategies to identify new diagnostic biomarkers in pwALS. Further longitudinal studies are needed to identify relevant indicators of disease progression and response to therapeutic intervention. [ABSTRACT FROM AUTHOR]

Biomechanical analysis of human movement plays an essential role in understanding functional changes in people with Amyotrophic Lateral Sclerosis (ALS), providing information on muscle impairment. Studies suggest that surface electromyography (sEMG) may be able to quantify muscle activity, identify levels of fatigue, assess muscle strength, and monitor variation in limb movement. In this article, a systematic review protocol will analyze the psychometric properties of the sEMG regarding the clinical data on the skeletal muscles of people with ALS. This protocol uses the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) methodological tool. A specific field structure was defined to reach each phase. Nine scientific databases (PubMed, Web of Science, Embase, Elsevier, IEEE, Google Scholar, SciELO, PEDro, LILACS E CENTRAL) were searched. The framework developed will extract data (i.e. study information, sample information, sEMG information, intervention, and outcomes) from the selected studies using a rigorous approach. The data will be described quantitatively using frequency and trend analysis methods, and heterogeneity between the included studies will be assessed using the I2 test. The risk of bias will be summarized using the most recent prediction model risk of bias assessment tool. Be sure to include relevant statistics here, such as sample sizes, response rates, P values or Confidence Intervals. Be specific (by stating the value) rather than general (eg, "there were differences between the groups"). This protocol will map out the construction of a systematic review that will identify and synthesize the advances in movement analysis of people with ALS through sEMG, using data extracted from articles. [ABSTRACT FROM AUTHOR]