Clinical Characteristics and Outcomes in Young-Onset Multiple System Atrophy.

BACKGROUND: Young-onset multiple system atrophy (YOMSA) is defined as the onset of multiple system atrophy (MSA) before the age of 40 years old. YOMSA is rare and there is much uncertainty of the phenotype and natural history in patients with YOMSA. OBJECTIVE: The objective is to evaluate the characteristics and disease course of patients with YOMSA. METHODS: We retrospectively reviewed medical records of patients with MSA who were evaluated at all Mayo Clinic sites from 1998 to 2021. We identified patients with YOMSA and evaluated clinical characteristics, autonomic function testing results, and disease course. RESULTS: Of 1496 patients with a diagnosis of clinically probable or clinically established MSA, 20 patients had YOMSA. The median age of onset was 39.1 (interquartile range [IQR] = 37.1, 40.1) years; 13 patients (65%) were male. MSA-parkinsonism was the most common subtype (65%). The median duration of symptom onset to YOMSA diagnosis was 4.9 (IQR = 3.7, 9) years. At the time of medical record review, 17 patients were deceased with a median survival of 8.3 (IQR = 7, 10.9) years. Univariate analysis showed that initial onset of autonomic failure predicted unfavorable survival (hazard ratio = 2.89, P = 0.04) compared to those who presented with motor impairment only at onset. At the time of YOMSA diagnosis, composite autonomic severity score was available in 19 patients with a median of 5 (IQR = 4, 6.5). CONCLUSIONS: YOMSA resembles MSA in most aspects including phenotype and prognosis, although the diagnosis is usually delayed. The presence of autonomic failure at symptom onset may be a poor predictor for survival.

Beyond body condition: Experimental evidence that plasma metabolites improve nutritional state measurements in a free-living seabird.

The ability to efficiently measure the health and nutritional status of wild populations in situ is a valuable tool, as many methods of evaluating animal physiology do not occur in real-time, limiting the possibilities for direct intervention. This study investigates the use of blood plasma metabolite concentrations, measured via point-of-care devices or a simple plate reader assay, as indicators of nutritional state in free-living seabirds. We experimentally manipulated the energy expenditure of wild black-legged kittiwakes on Middleton Island, Alaska, and measured the plasma concentrations of glucose, cholesterol, B-hydroxybutyrate, and triglycerides throughout the breeding season, along with measures of body condition (size-corrected mass [SCM] and muscle depth). Supplemental feeding improved the nutritional state of kittiwakes by increasing feeding rate (higher glucose and triglycerides, lower cholesterol), and flight-handicapping caused a slight nutritional decline (lower glucose and triglycerides, higher cholesterol and B-hydroxybutyrate). Glucose and triglycerides were the best indicators of nutritional state when used alongside SCM, and improved upon commonly used metrics for measuring individual condition (i.e. SCM or mass alone). Metabolite concentrations varied across the breeding period, suggesting that the pre-laying stage, when feeding rates tend to be lower, was the most nutritionally challenging period for kittiwakes (low glucose, high cholesterol). Muscle depth also varied by treatment and breeding stage, but differed from other nutritional indices, suggesting that muscle depth is an indicator of exercise and activity level rather than nutrition. Here we demonstrate potential for the use of blood plasma metabolites measured via point-of-care devices as proxies for evaluating individual health, population health, and environmental food availability.

Comparison of the impact of skull density ratio with alternative skull metrics on magnetic resonance-guided focused ultrasound thalamotomy for tremor.

OBJECTIVE: One of the key metrics that is used to predict the likelihood of success of MR-guided focused ultrasound (MRgFUS) thalamotomy is the overall calvarial skull density ratio (SDR). However, this measure does not fully predict the sonication parameters that would be required or the technical success rates. The authors aimed to assess other skull characteristics that may also contribute to technical success. METHODS: The authors retrospectively studied consecutive patients with essential tremor who were treated by MRgFUS at their center between 2017 and 2021. They evaluated the correlation between the different treatment parameters, particularly maximum power and energy delivered, with a range of patients' skull metrics and demographics. Machine learning algorithms were applied to investigate whether sonication parameters could be predicted from skull density metrics alone and whether including combined local transducer SDRs with overall calvarial SDR would increase model accuracy. RESULTS: A total of 62 patients were included in the study. The mean age was 77.1 (SD 9.2) years, and 78% of treatments (49/63) were performed in males. The mean SDR was 0.51 (SD 0.10). Among the evaluated metrics, SDR had the highest correlation with the maximum power used in treatment (ρ = -0.626, p < 0.001; proportion of local SDR values ≤ 0.8 group also had ρ = +0.626, p < 0.001) and maximum energy delivered (ρ = -0.680, p < 0.001). Machine learning algorithms achieved a moderate ability to predict maximum power and energy required from the local and overall SDRs (accuracy of approximately 80% for maximum power and approximately 55% for maximum energy), and high ability to predict average maximum temperature reached from the local and overall SDRs (approximately 95% accuracy). CONCLUSIONS: The authors compared a number of skull metrics against SDR and showed that SDR was one of the best indicators of treatment parameters when used alone. In addition, a number of other machine learning algorithms are proposed that may be explored to improve its accuracy when additional data are obtained. Additional metrics related to eventual sonication parameters should also be identified and explored.

The Effects of Deep Brain Stimulation in Patients with Multiple System Atrophy.

The course of patients with multiple system atrophy (MSA) who undergo deep brain stimulation (DBS) is unclear. In a retrospective review of 1,496 patients with MSA evaluated at our institutions from 1998-2021, 12 patients underwent DBS; 9 had a diagnosis of Parkinson's disease at the time of surgery. Nine patients reported initial improvement in at least one symptom and 7 experienced overall worsening following DBS. All patients had at least one red flag sign or symptom suggesting atypical parkinsonism prior to surgery. Considering overall poor outcomes of DBS in MSA, we recommend careful consideration of red flags in patient selection.

Clinical Characteristics of Patients with Gait Instability after MR-Guided Focused Ultrasound Thalamotomy.

Background: MRgFUS thalamotomy is an incisionless procedure which effectively treats patients with tremor, although the procedure can result in adverse side effects including gait instability. By determining whether certain pre-existing conditions predispose patients to developing gait instability, we will be able to better counsel patients regarding risk of MRgFUS thalamotomy. Methods: All patients diagnosed with essential tremor, mixed tremor syndrome, or tremor predominant Parkinson disease who underwent MRgFUS thalamotomy at Mayo Clinic, Rochester between 2017 and 2020 were retrospectively reviewed. Baseline demographic and clinical data was extracted, and gait symptoms were compared pre- versus post-operatively. Results: Of 45 patients who underwent MRgFUS thalamotomy, 42 had at least one follow-up visit within twelve months and were included in the study. 39 patients had essential tremor, 1 had tremor predominant Parkinson disease, and 2 had mixed tremor syndrome. 19 out of 42 patients (45%) had gait decline. There were 10 (24%) females, and median age was 77.6 years (IQR 71.5-83.2). Older age was not correlated with gait decline (p = 0.82). Patients with a history of neuropathy and joint replacements were more likely to have gait decline after MRgFUS thalamotomy (p = 0.0099 and p = 0.0376). Patients with pre-existing gait aids were not more likely to have gait instability (p = 0.20). Conclusion: Patients who undergo MRgFUS thalamotomy for each of the tremor conditions, have an increased risk of experiencing gait decline, when there is a pre-procedure history of peripheral neuropathy, or joint replacement surgery. Older age or pre-existing gait aid use is not associated with worsened gait outcomes. Highlights: Patients who undergo MRgFUS thalamotomy for tremor syndromes have a significantly increased risk of experiencing gait decline when there is comorbid peripheral neuropathy or joint replacementOlder age or pre-existing gait aid use is not associated with worsened gait outcomes.

Promoting Well-being Among Neurology Residents: A Data-Driven Approach.

OBJECTIVE: To assess whether the creation of a formal structure to measure and promote wellness among neurology residents would facilitate the development of interventions associated with measurable improvements. METHODS: In 2018 we founded the Resident Wellness Committee for the Department of Neurology at our institution. The Resident Wellness Committee was led by resident and staff neurologist co-chairs and had as its vision to promote well-being through initiatives centered in work-life integration, emotional and physical well-being, and social engagement. Web-based surveys assessing various aspects of well-being were administered at baseline and 1 year after launch, comprising the period June 21, 2018, through June 30, 2019. RESULTS: Response rates were high at baseline (21 of 34; 62%) and follow-up (25 of 33; 76%). Interventions pursued in the interim included education on handling unexpected absences, adjustments to holiday schedule policies, infrastructure for nutrition and respite, and a team-based department fitness challenge, among others. Overall, at both timepoints more than 80% (18 of 21; 21 of 25) of respondents endorsed at least mild burnout symptoms, although clinical workload, independence, and education were overwhelmingly viewed positively throughout. Notable improvements at follow-up included greater comfort with adjusting schedules at times of need, increased camaraderie within the program, and a smaller proportion of respondents endorsing substantial burnout symptoms. CONCLUSION: Through deliberate and sustained efforts backed by data, our work demonstrates that concrete changes can be successfully pursued to promote well-being among neurology residents. Given that Neurology has one of the highest burnout rates among medical specialties, our approach may serve as a model for other programs to replicate.

Near infrared (NIR) strong field ionization and imaging of C60 sputtered molecules: overcoming matrix effects and improving sensitivity.

Strong field ionization (SFI) was applied for the secondary neutral mass spectrometry (SNMS) of patterned rubrene films, mouse brain sections, and Botryococcus braunii algal cell colonies. Molecular ions of rubrene, cholesterol, C31 diene/triene, and three wax monoesters were detected, representing some of the largest organic molecules ever ionized intact by a laser post-ionization experiment. In rubrene, the SFI SNMS molecular ion signal was ~4 times higher than in the corresponding secondary-ion mass spectroscopy (SIMS) analysis. In the biological samples, the achieved signal improvements varied among molecules and sampling locations, with SFI SNMS, in some cases, revealing analytes made completely undetectable by the influence of matrix effects in SIMS.

Improving secondary ion mass spectrometry image quality with image fusion.

The spatial resolution of chemical images acquired with cluster secondary ion mass spectrometry (SIMS) is limited not only by the size of the probe utilized to create the images but also by detection sensitivity. As the probe size is reduced to below 1 µm, for example, a low signal in each pixel limits lateral resolution because of counting statistics considerations. Although it can be useful to implement numerical methods to mitigate this problem, here we investigate the use of image fusion to combine information from scanning electron microscope (SEM) data with chemically resolved SIMS images. The advantage of this approach is that the higher intensity and, hence, spatial resolution of the electron images can help to improve the quality of the SIMS images without sacrificing chemical specificity. Using a pan-sharpening algorithm, the method is illustrated using synthetic data, experimental data acquired from a metallic grid sample, and experimental data acquired from a lawn of algae cells. The results show that up to an order of magnitude increase in spatial resolution is possible to achieve. A cross-correlation metric is utilized for evaluating the reliability of the procedure.

Quantitative Detection of Purines in Biologically-Relevant Films with TOF-Secondary Ion Mass Spectrometry.

In purine-depleted environments, the de novo purine biosynthetic pathway is catalyzed to ultimately produce inosine monophosphate (IMP), a purine invisible using current optical microscopy methodology. These enzymes form a complex, termed the "purinosome," to replenish IMP levels. Before cellular chemical imaging may be applied to monitor the distributions and fluctuations in purine levels, it is necessary to develop a scheme to quantitatively detect purines. Here, IMP and other purines in biologically-relevant matrices have been detected quantitatively. These methods provide a TOF-SIMS protocol using C60+ primary ions to determine the concentration of biomolecules in a cell such as HeLa at the nanomolar level.