Parkinson's disease research: adopting a more human perspective to accelerate advances

Application of serum peptidomics for Parkinson's disease in SNCA-A30P mice

Intraneuronal inclusions of alpha-synuclein (α-synuclein, α-syn) are commonly found in the brain of patients with Parkinson's disease (PD). The pathogenesis of the abundant α-syn protein in the blood has been extensively studied to understand its properties better. In recent years, peptidome analysis has received increasing attention. In this study, we identified and analyzed serum peptides from wild-type (WT) and the (Thy-1)-h[A30P] alpha-synuclein transgenic mice (SNCA-A30P mice) using liquid chromatography-tandem mass spectrometry (LC-MS/MS). One thousand eight hundred fifty-six peptides from 771 proteins were analyzed. Among them, 151 peptides from 107 proteins were significantly differentially expressed. The glycoprotein VI platelet pathway (GP6) was the pathway's most significant differentially expressed signaling pathway. Cleavage sites of the differentially expressed peptides may reflect protease distribution and activity. We selected the most significantly differentially expressed peptide, VGGDPI, and found that it contained cathepsin K (Ctsk) and trypsin-1 cleavage sites, suggesting that Ctsk and trypsin-1 may be key peptidases in PD. α-syn is a protein associated with the pathogenesis of PD. mutations in several genes, including SNCA, which encodes α-syn, are associated with the development of PD. Bioinformatics analysis of the physiological pathways related to SNCA genes and apoptosis genes found the five most markedly up-regulated proteins: formin homology 2 domain-containing 1 (FHOD1), insulin receptor substrate 1(IRS1), TRPM8 channel-associated factor 1 (TCAF1), glyceraldehyde 3-phosphate dehydrogenase (GAPDH), and interleukin-16 (IL-16). Therefore, the differentially expressed peptides in the five precursor protein domains may be potential bioactive peptides associated with α-syn and apoptosis. This study provides a validated peptidomics profile of SNCA-A30P mice and identifies potentially bioactive peptides linked to α-syn and apoptosis.

Combining Automated Organoid Workflows With Artificial Intelligence-Based Analyses: Opportunities to Build a New Generation of Interdisciplinary High-Throughput Screens for Parkinson's Disease and Beyond

Parkinson's disease (PD) is the second most common neurodegenerative disease and primarily characterized by the loss of dopaminergic neurons in the substantia nigra pars compacta of the midbrain. Despite decades of research and the development of various disease model systems, there is no curative treatment. This could be due to current model systems, including cell culture and animal models, not adequately recapitulating human PD etiology. More complex human disease models, including human midbrain organoids, are maturing technologies that increasingly enable the strategic incorporation of the missing components needed to model PD in vitro. The resulting organoid-based biological complexity provides new opportunities and challenges in data analysis of rich multimodal data sets. Emerging artificial intelligence (AI) capabilities can take advantage of large, broad data sets and even correlate results across disciplines. Current organoid technologies no longer lack the prerequisites for large-scale high-throughput screening (HTS) and can generate complex yet reproducible data suitable for AI-based data mining. We have recently developed a fully scalable and HTS-compatible workflow for the generation, maintenance, and analysis of three-dimensional (3D) microtissues mimicking key characteristics of the human midbrain (called "automated midbrain organoids," AMOs). AMOs build a reproducible, scalable foundation for creating next-generation 3D models of human neural disease that can fuel mechanism-agnostic phenotypic drug discovery in human in vitro PD models and beyond. Here, we explore the opportunities and challenges resulting from the convergence of organoid HTS and AI-driven data analytics and outline potential future avenues toward the discovery of novel mechanisms and drugs in PD research. © 2021 The Authors. Movement Disorders published by Wiley Periodicals LLC on behalf of International Parkinson and Movement Disorder Society.

What's not in the news headlines or titles of Alzheimer disease articles? #InMice

There is increasing scrutiny around how science is communicated to the public. For instance, a Twitter account @justsaysinmice (with 70.4K followers in January 2021) was created to call attention to news headlines that omit that mice, not humans, are the ones for whom the study findings apply. This is the case of many headlines reporting on Alzheimer disease (AD) research. AD is characterized by a degeneration of the human brain, loss of cognition, and behavioral changes, for which no treatment is available. Around 200 rodent models have been developed to study AD, even though AD is an exclusively human condition that does not occur naturally in other species and appears impervious to reproduction in artificial animal models, an information not always disclosed. It is not known what prompts writers of news stories to either omit or acknowledge, in the story's headlines, that the study was done in mice and not in humans. Here, we raised the hypothesis that how science is reported by scientists plays a role on the news reporting. To test this hypothesis, we investigated whether an association exists between articles' titles and news' headlines regarding the omission, or not, of mice. To this end, we analyzed a sample of 623 open-access scientific papers indexed in PubMed in 2018 and 2019 that used mice either as models or as the biological source for experimental studies in AD research. We found a significant association (p < 0.01) between articles' titles and news stories' headlines, revealing that when authors omit the species in the paper's title, writers of news stories tend to follow suit. We also found that papers not mentioning mice in their titles are more newsworthy and significantly more tweeted than papers that do. Our study shows that science reporting may affect media reporting and asks for changes in the way we report about findings obtained with animal models used to study human diseases.

Efficacy of Traditional Chinese Medicine Combined with Selective Serotonin Reuptake Inhibitors on the Treatment for Parkinson’s Disease with Depression: A Systematic Review and Meta-Analysis

Depression is a common neuropsychiatric symptom of Parkinson’s disease (PD), resulting in a lower quality of life and cognitive impairment in PD patients. Traditional Chinese medicine (TCM) formulas have been widely used in neurodegenerative disease and neuropsychic disorders to improve life quality of patients in ethnomedicine. TCM formulas combined with selective serotonin reuptake inhibitors (SSRIs) also have a positive effect on depressed PD compared with SSRIs as reported by several clinical studies. However, the results are discordant and failed to be conclusive. We aim to evaluate the efficacy of TCM formulas combined with SSRIs for depressed PD in this systematic review. We searched literatures from PubMed, Web of Science, Medline, Embase, Google Scholar, Chinese National Knowledge Infrastructure, Wanfang Database, and VIP Information Database before July 2020. We included randomized controlled trials investigating the efficacy of TCM formulas combined with SSRIs on depressed PD patients. This analysis was according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guideline. Eleven randomized clinical trials involving 861 subjects were enrolled in this analysis. The overall results showed that TCM formulas combined with SSRIs significantly improved the depression score [weighted mean difference (WMD): −4.920, 95% confidence interval (CI): (−5.999, −3.840); [Formula: see text]¡ 0.001] and had a statistical significance on Unified Parkinson’s Disease Rating Scale II score [WMD: −1.209, 95% CI: (−1.561, −0.857); [Formula: see text] < 0.001]. Furthermore, we observed that Chai-Hu-Shu-Gan Powder combined with SSRIs had a significant improvement on the depressive symptom in PD compared to the SSRIs alone [WMD: −5.390, 95% CI: (−7.66, −3.11); [Formula: see text] < 0.001]. No severe side events were reported in these included trials. This systematic review provided the evidences that TCM formulas combined with SSRIs might be helpful and safe in the treatment of depression of PD, including Chai-Hu-Shu-Gan Powder. Also, more randomized double-blinded trials with reliable design are required in the future.

Comparative transcriptome analysis of Parkinson's disease and Hutchinson-Gilford progeria syndrome reveals shared susceptible cellular network processes

BACKGROUND

Parkinson's Disease (PD) and Hutchinson-Gilford Progeria Syndrome (HGPS) are two heterogeneous disorders, which both display molecular and clinical alterations associated with the aging process. However, similarities and differences between molecular changes in these two disorders have not yet been investigated systematically at the level of individual biomolecules and shared molecular network alterations.

METHODS

Here, we perform a comparative meta-analysis and network analysis of human transcriptomics data from case-control studies for both diseases to investigate common susceptibility genes and sub-networks in PD and HGPS. Alzheimer's disease (AD) and primary melanoma (PM) were included as controls to confirm that the identified overlapping susceptibility genes for PD and HGPS are non-generic.

RESULTS

We find statistically significant, overlapping genes and cellular processes with significant alterations in both diseases. Interestingly, the majority of these shared affected genes display changes with opposite directionality, indicating that shared susceptible cellular processes undergo different mechanistic changes in PD and HGPS. A complementary regulatory network analysis also reveals that the altered genes in PD and HGPS both contain targets controlled by the upstream regulator CDC5L.

CONCLUSIONS

Overall, our analyses reveal a significant overlap of affected cellular processes and molecular sub-networks in PD and HGPS, including changes in aging-related processes that may reflect key susceptibility factors associated with age-related risk for PD.

CD4+ T-cell Transcription Factors in Idiopathic REM Sleep Behavior Disorder and Parkinson's Disease

BACKGROUND

CD4+ T-cell dysregulation occurs in Parkinson's disease (PD); however, it is unknown whether it contributes to PD development. The objective of this study was to investigate transcription factor gene expression in CD4+ T cells in idiopathic rapid eye movement sleep behavior disorder, the strongest risk factor for prodromal PD.

METHODS

Expression of transcription factors (TBX21, STAT1, STAT3, STAT4, STAT6, RORC, GATA3, FOXP3, and NR4A2) was measured in CD4+ T cells from 33 polysomnographically confirmed idiopathic rapid eye movement sleep behavior disorder subjects and compared with expression in cells from matched healthy subjects and antiparkinson drugs-naive PD patients.

RESULTS

Compared with healthy subjects, idiopathic rapid eye movement sleep behavior disorder subjects and PD patients had lower TBX21, STAT3, and STAT4, and higher FOXP3 expression. TBX21 expression discriminated healthy subjects from idiopathic rapid eye movement sleep behavior disorder subjects and PD patients, but not idiopathic rapid eye movement sleep behavior disorder subjects with PD.

CONCLUSIONS

In idiopathic rapid eye movement sleep behavior disorder subjects CD4+ T cells exhibit a peculiar molecular signature strongly resembling cells from PD patients, suggesting early involvement of peripheral immunity in PD. © 2020 International Parkinson and Movement Disorder Society.

Resveratrol Derivatives as Potential Treatments for Alzheimer's and Parkinson's Disease

Neurodegenerative diseases are characterized by the progressive loss of neurons in different regions of the nervous system. Alzheimer’s disease (AD) and Parkinson’s disease (PD) are the two most prevalent neurodegenerative diseases, and the symptoms associated with these pathologies are closely related to the regions that are most affected by the process of neurodegeneration. Despite their high prevalence, currently, there is no cure or disease-modifying drugs for the treatment of these conditions. In the last decades, due to the need for the development of new treatments for neurodegenerative diseases, several authors have investigated the neuroprotective actions of naturally occurring molecules, such as resveratrol. Resveratrol is a stilbene found in several plants, including grapes, blueberries, raspberries, and peanuts. Studies have shown that resveratrol presents neuroprotective actions in experimental models of AD and PD, however, its clinical application is limited due to its rapid metabolism and low bioavailability. In this context, studies have proposed that structural changes in the resveratrol molecule, including glycosylation, alkylation, halogenation, hydroxylation, methylation, and prenylation could lead to the development of derivatives with enhanced bioavailability and pharmacological activity. Therefore, this review article aims to discuss how resveratrol derivatives could represent viable molecules in the search for new drugs for the treatment of AD and PD.

Update on the association between alpha-synuclein and tau with mitochondrial dysfunction: Implications for Parkinson's disease

The critical role of mitochondrial dysfunction in the pathological mechanisms of neurodegenerative disorders, particularly Parkinson's disease (PD), is well established. Compelling evidence indicates that Parkinson's proteins (e.g., α-synuclein, Parkin, PINK1, DJ-1, and LRRK2) are associated with mitochondrial dysfunction and oxidative stress in PD. Significantly, there is a possible central role of alpha-synuclein (α-Syn) in the occurrence of mitochondrial dysfunction and oxidative stress by the mediation of different signaling pathways. Also, tau, traditionally considered as the main component of neurofibrillary tangles, aggregates and amplifies the neurotoxic effects on mitochondria by interacting with α-Syn. Moreover, oxidative stress caused by mitochondrial dysfunction favors assembly of both α-Syn and tau and also plays a key role in the formation of protein aggregates. In this review, we provide an overview of the relationship between these two pathological proteins and mitochondrial dysfunction in PD, and also summarize the underlying mechanisms in the interplay of α-Syn aggregation and phosphorylated tau targeting the mitochondria, to find new strategies to prevent PD processing.

Association between the DRD2 TaqIA gene polymorphism and Parkinson disease risk: an updated meta-analysis

BACKGROUND

DRD2 TaqIA polymorphism may be associated with an increased risk of developing Parkinson disease (PD). However, the individual study's results are still inconsistent.

METHODS

A meta-analysis of 4232 cases and 4774 controls from 14 separate studies were performed to explore the possible relationship between the DRD2 TaqIA gene polymorphism and PD. Pooled odds ratios (ORs) for the association and the corresponding 95% confidence intervals (CIs) were evaluated by a fixed-effect model.

RESULTS

The pooled results revealed a significant association between DRD2 gene TaqIA polymorphism under recessive genetic model (OR: 0.91, 95% CI:0.83,0.99, P = .031) and additive genetic models (OR:0.93,95%CI:0.87,0.99, P = .032), but not associated with PD susceptibility under other genetic models in the whole population. Moreover, subgroups based on ethnicity and genotyping methods showed this association in the Caucasian subgroup under recessive genetic model (OR: 0.85, 95% CI:0.76,0.95, P = .003) and additive genetic models (OR:0.87,95%CI:0.79,0.96, P = .004) were existed. Besides, no significant association was detected under 6 genetic models in the Asian populations and PCR-RFLP subgroup.

CONCLUSIONS

The current meta-analysis suggested that a significant association between DRD2 TaqIA polymorphism and PD under the recessive genetic mode, and additive genetic models, especially in Caucasians.

Engaging Older Adults With Parkinson's Disease in Physical Activity Using Technology: A Feasibility Study

Parkinson's disease (PD), a progressive neurodegenerative disorder, presents unique and daily challenges. Living with PD may limit one's physical activity and negatively affect quality of life (QOL). No studies were identified that utilized online technology to promote health in this population. The purposes of this study were to (a) assess the feasibility of an intervention that requires wearing a physical activity tracker and participating in an online support group, and (b) examine the effect of this intervention on the self-efficacy for physical activity and QOL of older adults with PD. A 12-week longitudinal pretest/posttest design was used to assess physical activity, engagement in an online support group, self-efficacy, and QOL. A postintervention questionnaire was used to capture the participants' (n = 5) experience using the physical activity tracker and an electronic tablet to engage in an online support group. The sample size of this feasibility study precluded robust quantitative analysis of QOL or self-efficacy. Findings from the open-ended questionnaire suggest technology was challenging for most participants, yet it did provide social support. Teaching effective interventions to promote self-management for increasing physical activity, and consequently improving QOL, is recommended. While technology can assist, older persons with PD may experience technological challenges.