Asymptomatic carriers of the p.A53T SNCA mutation: data from the PPMI study

IntroductionThere has been great interest in the prodromal phase of Parkinson’s disease (PD), especially in subjects who are asymptomatic carriers of genetic mutations leading to PD because of the high risk to convert to PD. The objective of the present study was to assess non motor characteristics of asymptomatic p.A53T mutation carriers (A53T-AC) compared with healthy controls (HC).MethodsWe compared 12 A53T-AC with 36 matched HC enrolled into in the Parkinson’s Progression Markers Initiative (PPMI) study. Baseline data extracted from the PPMI database, contained demographics and non-motor symptoms (e.g. the Montreal Cognitive Assessment (MOCA) for cognition, the University of Pennsylvania Smell Identification Test (UPSIT) for olfaction, MDS-UPDRS I etc.)ResultsThe mean UPSIT score was lower in A53T-AC vs HC (p =0.000). MoCA test showed a trend towards lower scores in A53T AC. We found a significant positive correlation between UPSIT score and MOCA in A53T-AC (rs = 0,68, p=0,021) but not in HC. Total scores for MDS-UPDRS I did not differ between the groups but the subscore of anxiety was more prevalent in A53T-AC.ConclusionThe more affected olfaction in A53T-AC may indicate that olfactory function is affected quite early in A53T carriers. The strong positive correlation between UPSIT and MOCA in the A53T-AC group may indicate that cognitive dysfunction and olfactory impairment progress alongside, prior to nigrostriatal degeneration. Anxiety was also more prevalent in A53T-AC and may represent an additional prodromal feature in this group of subjects.

Associations of the oral microbiota and Candida with taste, smell, appetite and undernutrition in older adults

Poor taste and smell function are widely thought to contribute to the development of poor appetite and undernutrition in older adults. It has been hypothesized that the oral microbiota play a role as well, but evidence is scarce. In a cross-sectional cohort of 356 older adults, we performed taste and smell tests, collected anthropometric measurements and tongue swabs for analysis of microbial composition (16S rRNA sequencing) and Candida albicans abundance (qPCR). Older age, edentation, poor smell and poor appetite were associated with lower alpha diversity and explained a significant amount of beta diversity. Moreover, a lower Streptococcus salivarius abundance was associated with poor smell identification score, whereas high C. albicans abundance seemed to be associated with poor smell discrimination score. In our population, neither the tongue microbiota, nor C. albicans were associated with poor taste or directly with undernutrition. Our findings do suggest a host-microbe interaction with regard to smell perception and appetite.

Olfactory Decline in Older Adults with Mild Cognitive Impairment with and without Comorbidities

Over the past two decades, several studies have measured olfactory performance in Mild Cognitive Impairment (MCI). Deficits are observed in multiple olfactory domains, including odour detection threshold, identification, discrimination, and memory. In this study, the psychophysiological Sniffin’ Sticks smell screening test was administered to examine olfactory functioning in 145 older adults with MCI, a group with MCI and chronic comorbid conditions, and a healthy age-matched comparison group. We hypothesised that olfactory performance will deteriorate in the two MCI groups compared to the control group, even after assessing the known contributions of age and gender. The higher olfactory deterioration in the group with the MCI and the comorbidities in the first year disappeared in the second. This could mean that early consideration of the potential effect of other comorbidities that might affect olfaction should be taken and addressed, as they could easily mask the effect of cognitive decline and/or contribute to it. This study also found higher deterioration in smell identification in participants with MCI, as has been found repeatedly in similar research. Olfactory identification seems to be a more robust marker for discriminating people with MCI and without, and even discriminating between those with MCI and having other health problems.

Which Is the Best Biologic for Nasal Polyps: Dupilumab, Omalizumab, or Mepolizumab? A Network Meta-Analysis

<b><i>Introduction:</i></b> Compared with the placebo, biologics are beneficial in reducing nasal polyp mass and safe in patients with chronic rhinosinusitis with nasal polyps (CRSwNP). However, there lacks a head-to-head randomized trial comparing biologics. We aimed to determine the best biologic for CRSwNP. <b><i>Methods:</i></b> We performed a systematic review and network meta-analysis (NMA), which was registered with PROSPERO (No. CRD42021226766). A comprehensive search was performed in PubMed, Embase, Web of Science, and the Cochrane Library on December 29, 2020. Only randomized controlled trials (RCTs) assessing biologics in adult patients for CRSwNP were included. <b><i>Results:</i></b> Nine RCTs with 1,190 patients comparing 3 different biologics (dupilumab, omalizumab, and mepolizumab) and the placebo were included. Dupilumab had the best efficacy in terms of nasal polyp score (NPS), Sino-Nasal Outcome Test-22 (SNOT-22) score, University of Pennsylvania Smell Identification Test (UPSIT) score, and nasal congestion score (NCS) for surface under the cumulative ranking curve (SUCRA) values of 0.900, 0.916, 1.000, and 0.807, respectively. Omalizumab ranked second in efficacy in terms of SNOT-22, UPSIT, and NCS for SUCRA values of 0.606, 0.500, and 0.693, respectively. Mepolizumab ranked second in efficacy in terms of NPS for SUCRA values of 0.563 and had the highest risk of adverse events (AEs) for SUCRA values of 0.746. <b><i>Conclusion:</i></b> This is the first NMA that compared different biologics in patients with CRSwNP. Based on the efficacy (NPS) and safety (AEs), dupilumab is the best choice and omalizumab is the second best option for CRSwNP. Although mepolizumab ranked second in efficacy, it had the highest risk of AEs.

Prevalence of olfactory dysfunction in COVID-19 patients

Back ground: Nowadays COVID-19 has become a pandemic in which global society experience multiple difficulties in management. It seems that olfactory dysfunction is one of the early occurring symptoms of this viral infection and many patients just show this symptom after they got infected. Considering so, olfactory dysfunction especially a decline in olfaction could potentially be used for screening purposes and preventing the disease to spread. Methods: 50 PCR-verified SARS-CoV-2 infected participants were assessed about their olfactory function adequacy using a Modified Version of the University of Pennsylvania Smell Identification Test (UPSIT) for the Iranian population called Iran Smell Identification Test (Iran-SIT). Participants scores were compared against normal population scores in this test and possible correlations of age and scores were explored as well Results: Participants with SARS-CoV-2 infection generally obtained lesser scores in the mentioned test which means they experience a decline in olfactory function more, significantly. Aging also has a negative correlation with olfaction adequacy. Conclusion: Based on this article’s finding, olfactory function decrease is more frequent among SARS-CoV-2 infected people and potentially could be a suggestive indicator for screening programs. This indicator should be interpreted concerning patients’ age.

Anosmia in SARS-CoV-2 Patients: a Retrospective Study

BackgroundPost viral anosmia has been reported in human coronavirus infections. In this current pandemic, olfactory dysfunction (OD) has emerged as a common key presenting symptom of COVID-19 infection. In this study, we describe OD assessment in the inpatient setting of patients both suspected of and with confirmed COVID-19 infection via University of Pennsylvania Smell Identification Test (UPSIT) objective assessment and a simple self-reported 3-item questionnaire.MethodsThirty patients admitted to the isolation wards of the National University Hospital, Singapore for either suspected or confirmed COVID-19 infection from April to May 2020 were recruited to this study. 10 patients who tested negative for SARS-CoV-2 were recruited as control subjects. The 20 patients with COVID-19 infection were divided into two groups (10 had olfactory testing performed during the first week of illness, 10 in the second week of illness). A simple 3-question survey was administered to each participant - to rank the severity, state the onset and duration of their hyposmia. Olfactory testing was performed using an English version of the UPSIT.ResultsLoss of smell was reported in 2 participants from the control group, 6 participants from the in the first week of illness and 5 participants from the second week of illness. Two COVID-19 patients have anosmia on the UPSIT. COVID-19 patients were more likely to have severe hyposmia or anosmia by objective assessment, a difference that was statistically significant (P = 0.0485). The differences in degree of OD among COVID-19 patients in their first and second week of illness were not statistically significant (P= 0.6563).ConclusionSelf-reported anosmia was higher among COVID-19 patients compared to controls who were admitted to isolation wards for respiratory symptoms but were tested negative for SARS-CoV-2 infection. On objective assessment by the UPSIT, COVID-19 patients were found to have higher rates of severe hyposmia or anosmia, a difference that was statistically significant (P = 0.0485). A limitation of this study is the odorants used in UPSIT which may be less familiar to the primarily Asian participants in this study, owing to cultural differences.

Code Smell Identification As The Basis For Code Refactoring in The Agricultural Information System Portal Case Study at: Gilangharjo Village, Bantul Regency, Indonesia

Information system technology continues to evolve over time. Various fields of science including agriculture also utilize information system to improve quality and services in the agricultural sector. Indonesia is an agrarian country where most of the populations work in the agricultural sector. Based on this fact, the Indonesian government is also very supportive towards improving and developing technology in agriculture. Dutatani is one of the Agricultural Information Systems (SIP) that has been consistently developed since 2016 towards precision agriculture. One of the technologies developed is web-based technology which has many sub-systems in it. This raises the problem regarding system scalability wherein each sub-system is developed separately and uses a different development model. Each system uses a specific framework and a native. Therefore this study aims to identify which sub-systems are suitable to be developed and refactored to become a new agricultural information system portal. The identification process used a code smell and metric-based approach. The metrics used were Line of Code (LOC), Complexity, Lack of Cohesion of Methods (LCOM) and God Class. From the results of detection using a code smell, the code detected was 55.17%. This study also revealed a fact that code with a good structure would be easier to detect. Modular code that used a framework and was orderly structured could be read well by detection tools, and showed a high LCOM rate compared to structured and nativecode