DRD3 Predicts Cognitive Impairment and Anxiety in Parkinson's Disease: Susceptibility and Protective Effects

Background

A possible genetic contribution of dopamine D3 receptor (DRD3) to cognitive impairment in Parkinson's disease (PD) has yet to be investigated.

Objective

To explore the effects of rs6280 (Ser9Gly) genotype on PD patients' cognitive performance and to clarify possible interactions with psychopathology.

Methods

Two hundred and fifty-three consecutive PD patients underwent neurological and neuropsychological evaluations, which included: Unified Parkinson's Disease Rating Scale (UPDRS), Hoehn & Yahr scale (H&Y), Dementia Rating Scale-2 (DRS-2), and Hospital Anxiety and Depression Scale (HADS). rs6280 polymorphism was genotyped for all PD patients and for 270 ethnically matched healthy volunteers (HC). Non-parametric group comparisons and logistic regressions were used for data analyses.

Results

rs6280 genotype did not differ between PD and HC groups. PD patients with rs6280 CC genotype had more impaired cognitive performance (i.e., <1st percentile of demographically adjusted norms) on DRS-2 subscales Initiation/Perseveration and Construction than those with TT genotype. These associations remained statistically significant when other covariates (e.g., demographic features, disease duration, severity of motor symptoms in OFF and ON states, anti-parkinsonian medication, and psychopathology symptoms) were taken into consideration. PD patients with rs6280 TC had less anxiety (i.e., HADS Anxiety≥11) than those with TT (p = 0.012). This association was also independent of other covariates.

Conclusions

Study findings suggest that rs6280 CC genotype predisposes to executive dysfunction and visuoconstructional deficits, whereas the heterozygous genotype protects from anxiety in PD. These effects do not appear to be dependent of one another. rs6280 is not a genotypic susceptibility factor for PD.

POS0423 CYCLIC CITRULLINATED PEPTIDE APTAMER TREATMENT ATTENUATES COLLAGEN INDUCED ARTHRITIS

Background

Anti-citrullinated peptide antibodies (ACPA) appear 10–15 years before the diagnosis of rheumatoid arthritis (RA) and are associated with a more severe disease course. In previous work, we rationally designed and screened ACPA-binding peptide aptamer sequences in silico and constructed a nanoparticle with chitosan and hyaluronic acid(1). A developmental stage version of this nanoparticle was able to reduce disease activity in the collagen-induced arthritis (CIA) and the serum transfer arthritis mouse models (2).

Objectives

Here, we investigated the effect and potential toxicity of three different versions of the aptamer nanoparticle (loading of 20%, 10% and 5% aptamer, respectively) in the CIA rat model.

Methods

Wistar rats (males and females) were given a single intravenous dose (100 mg/kilo) of type II collagen in PBS in the tail vein. The dosing was repeated three times with one day interval, followed by blood sample collection at day 7 after the initial collagen injection. To evaluate route of administration and dosing, we injected a single intravenous and subcutaneous dose (2.5 mg/kg) of aptamer-nanoparticles (A/N ratio 20%) in PBS in the tail vein/abdomen, and plasma concentration−time profiles were followed for 2 days after dosing with weekly blood sampling. To evaluate organ uptake, rats were given a single intravenous and subcutaneous dose (2.5 mg/kg) of aptamer-nanoparticles (A/N ratio 20%) in PBS in the tail vein/abdomen. The procedure was repeated after 24 hours. Blood and urine samples were taken once a week. A group of 10 animals was sacrificed every week over a three-week period, and the organs were processed. To examine efficacy, rats were given a single subcutaneous dose (2.5 mg/kilo) of aptamer-nanoparticles and nanoparticle controls without aptamer or PBS alone in the abdomen. The procedure was repeated once a week over a course of three weeks. Weight, joint measurement, blood, and urine samples were taken once a week. Paw swelling was measured on a weekly basis. In the plasma samples we measured CPEP2 and anti-collagen II by enzyme linked immunosorbent assay (ELISA).

Results

Using a rather high dose of collagen (100 mg/kilo) via an intravenous administration route, ACPA was measurable in all CIA rats with rapid development of RA in 82% of the included animals. Intravenous administration resulted in an immediate high plasma concentration post injection, which decreased rapidly to low levels. The s.c. administration route gave a steady, long-term aptamer release with a maximum availability 8 hours post-injection. After three aptamer-nanoparticle doses (2.5 mg/kg; either 20%, 10% or 5% aptamer), we observed a dose-dependent reduction in swollen joint count for the aptamer-nanoparticle treated groups (10 rats in each group) compared with the healthy control group (10 rats) (P-value = 2,1E-6). We observed decreased ACPA IgG levels in the rats treated with aptamer-nanoparticle. The decrease in ACPA levels correlated with the aptamer-nanoparticle having higher loading. Anti-collagen II IgG levels slightly increased towards the end of the study.

Conclusion

We developed and tested a novel peptide aptamer-based drug candidate for seropositive rheumatoid arthritis in CIA rats. Over a 3-week course of treatment with subcutaneous administration of aptamer-nanoparticles, joint swelling was decreased during treatment, and completely reversed at the end of the observation period. The reduction of joint swelling was associated with decreased levels of ACPA in the blood.

References

[1]Khatri S, Hansen J, Mendes AC, et al. Citrullinated Peptide Epitope Targets Therapeutic Nanoparticles to Human Neutrophils. Bioconjug Chem. 2019;30(10):2584-2593. doi:10.1021/acs.bioconjchem.9b00518

[2]Khatri S, Hansen J, Clausen MH, et al. LB0002 A FIRST IN CLASS THERAPEUTIC NANOPARTICLE FOR SPECIFIC TARGETING OF ANTI-CITRULLINATED PROTEIN ANTIBODY AMELIORATES SERUM TRANSFER AND COLLAGEN INDUCED ARTHRITIS. Annals of the Rheumatic Diseases 2020;79:212.

Disclosure of Interests

Sangita Khatri: None declared, Jonas Hansen: None declared, Nadia Pedersen: None declared, Sanne Gram-Nielsen: None declared, Ana Mendes: None declared, Ioannis Chronakis: None declared, Ulrik Keiding: None declared, Bence Réthi: None declared, Mads Hartvig Clausen Shareholder of: affiliated with IBIO TECH ApS, Tue Wenzel Kragstrup Shareholder of: affiliated with IBIO TECH ApS, Speakers bureau: TWK received speaking fees from Pfizer, Bristol-Myers Squibb, Eli Lilly, Novartis, UCB, and Abbvie., Consultant of: Consultancy fees from Bristol-Myers Squibb and Gilead, Grant/research support from: Received research grant from Gilead, Kira Astakhova Shareholder of: KA is affiliated with iBio tech.

Striatum expresses region-specific plasticity consistent with distinct memory abilities

The striatum mediates two learning modalities: goal-directed behavior in dorsomedial (DMS) and habits in dorsolateral (DLS) striata. The synaptic bases of these learnings are still elusive. Indeed, while ample research has described DLS plasticity, little remains known about DMS plasticity and its involvement in procedural learning. Here, we find symmetric and asymmetric anti-Hebbian spike-timing-dependent plasticity (STDP) in DMS and DLS, respectively, with opposite plasticity dominance upon increasing corticostriatal activity. During motor-skill learning, plasticity is engaged in DMS and striatonigral DLS neurons only during early learning stages, whereas striatopallidal DLS neurons are mobilized only during late phases. With a mathematical modeling approach, we find that symmetric anti-Hebbian STDP favors memory flexibility, while asymmetric anti-Hebbian STDP favors memory maintenance, consistent with memory processes at play in procedural learning.

Monitoring non-small cell lung cancer progression and treatment response through hyaluronic acid in sputum

We evaluated whether hyaluronan (HA) levels in the sputum could be used as a noninvasive tool to predict progressive disease and treatment response, as detected in a computed tomography scan in non-small cell lung cancer (NSCLC) patients. Sputum samples were collected from 84 patients with histological confirmation of NSCLC, 33 of which were in early-stage and 51 in advanced-stage disease. Patients received systemic chemotherapy (CT) after surgery (n=36), combined CT and immunotherapy (IO) (n=15), or targeted therapy for driver mutation and disease relapse (N=4). The primary end-point was to compare sputum HA levels in two different concentrations of hypertonic saline solution with overall survival (OS) and the secondary and exploratory end-points were radiologic responses to treatment and patient outcome. Higher concentrations of HA in the sputum were significantly associated to factors related to tumor stage, phenotype, response to treatment, and outcome. In the early stage, patients with lower sputum HA levels before treatment achieved a complete tumor response after systemic CT with better progression-free survival (PFS) than those with high HA levels. We also examined the importance of the sputum HA concentration and tumor response in the 51 patients who developed metastatic disease and received CT+IO. Patients with low levels of sputum HA showed a complete tumor response in the computed tomography scan and stable disease after CT+IO treatment, as well as a better PFS than those receiving CT alone. HA levels in sputum of NSCLC patients may serve as a candidate biomarker to detect progressive disease and monitor treatment response in computed tomography scans.

Patient-level costs in intensive care: a case report of a standardized and scalable approach

Background

Intensive care units (ICU) costs account to up to 30% of hospital budgets. Nevertheless, determination of their costs is complex and without agreed methodology, specially when considering patient-level costs (Value-Based Healthcare).

Methods

Case report of a costing methodology implementation, in a 15-bed ICU, in a public, teaching hospital at Teresina/Piauí-Brazil (as part of a broader initiative, with 10 hospitals from all Brazilian regions). All costs incurred during ICU stay were measured from the hospital perspective, applying absorption costing method, by using a standardized approach and a specific central IT system. The study was carried out from Oct/19-Sep/20, including 613 patients, and a team of 10 researchers working with 4 teams of the local hospital (costs, IT, ICU and managers).

Results

ICU fixed costs (personnel, overheads, energy/water, depreciation, non-tracked drugs/medical materials), were divided by service capacity (total bed-hours) for calculation of the costs/minute. Costs were then allocated in the patient level multiplying costs/minute by the ICU length of stay. Variable costs (lab/image tests, transfusions, hemodialysis, and traceable medical materials/drugs) were directly allocated, multiplying the unit cost by the volume consumed per patient. A mini-survey applied 1-year after showed that both cost researchers and hospital staff agreed on the main challenges in measuring patient-level costs (fragmented process; fixed costs available only at the hospital level; lack of control on cost-drivers; indirect costs not considered; any reference for lab/image costs) and that the approach was sufficient to overcome them. The local team also reported increased awareness about the importance of patient-level costs after the experience.

Conclusions

The proposed costing approach allowed the assessment of estimated total costs of each ICU admission. We believe this model can be easily and quickly replicated in other similar scenarios.

Key messages

ICU costs account to up to 30% of hospital budgets. Nevertheless, determination of their costs is complex and without agreed methodology, specially when considering patient-level costs. The proposed costing approach allowed the assessment of estimated total costs of each ICU admission. We believe this model can be easily and quickly replicated in other similar scenarios.

An Iterative and Collaborative End-to-End Methodology Applied to Digital Mental Health

Artificial intelligence (AI) algorithms together with advances in data storage have recently made it possible to better characterize, predict, prevent, and treat a range of psychiatric illnesses. Amid the rapidly growing number of biological devices and the exponential accumulation of data in the mental health sector, the upcoming years are facing a need to homogenize research and development processes in academia as well as in the private sector and to centralize data into federalizing platforms. This has become even more important in light of the current global pandemic. Here, we propose an end-to-end methodology that optimizes and homogenizes digital research processes. Each step of the process is elaborated from project conception to knowledge extraction, with a focus on data analysis. The methodology is based on iterative processes, thus allowing an adaptation to the rate at which digital technologies evolve. The methodology also advocates for interdisciplinary (from mathematics to psychology) and intersectoral (from academia to the industry) collaborations to merge the gap between fundamental and applied research. We also pinpoint the ethical challenges and technical and human biases (from data recorded to the end user) associated with digital mental health. In conclusion, our work provides guidelines for upcoming digital mental health studies, which will accompany the translation of fundamental mental health research to digital technologies.

Intracellular Properties of Deep-Layer Pyramidal Neurons in Frontal Eye Field of Macaque Monkeys

Although many details remain unknown, several positive statements can be made about the laminar distribution of primate frontal eye field (FEF) neurons with different physiological properties. Most certainly, pyramidal neurons in the deep layer of FEF that project to the brainstem carry movement and fixation signals but clear evidence also support that at least some deep-layer pyramidal neurons projecting to the superior colliculus carry visual responses. Thus, deep-layer neurons in FEF are functionally heterogeneous. Despite the useful functional distinctions between neuronal responses in vivo, the underlying existence of distinct cell types remain uncertain, mostly due to methodological limitations of extracellular recordings in awake behaving primates. To substantiate the functionally defined cell types encountered in the deep layer of FEF, we measured the biophysical properties of pyramidal neurons recorded intracellularly in brain slices issued from macaque monkey biopsies. Here, we found that biophysical properties recorded in vitro permit us to distinguish two main subtypes of regular-spiking neurons, with, respectively, low-resistance and low excitability vs. high-resistance and strong excitability. These results provide useful constraints for cognitive models of visual attention and saccade production by indicating that at least two distinct populations of deep-layer neurons exist.

Decidual NK cell-derived conditioned medium from miscarriages affects endometrial stromal cell decidualisation: endocannabinoid anandamide and tumour necrosis factor-α crosstalk

STUDY QUESTION

What are the effects of endocannabinoid anandamide (AEA) in uterine natural killer (unK) cells from miscarriage decidua, regarding their cytokine profile and endometrial stromal cell (ESC) crosstalk?

SUMMARY ANSWER

uNK-conditioned media from miscarriage samples present high TNF-α levels which inhibit ESC decidualisation.

WHAT IS KNOWN ALREADY

AEA plasma levels are higher in women who have suffered a miscarriage. Moreover, AEA inhibits ESC proliferation and differentiation, although the levels and impact on the uNK cell cytokine profile at the feto-maternal interface remain elusive.

STUDY DESIGN, SIZE, DURATION

This laboratory-based study used human primary uNK cells which were isolated from first-trimester decidua (gestational age, 5-12 weeks) derived from 8 women with elective pregnancy termination and 18 women who suffered a miscarriage.

PARTICIPANTS/MATERIALS, SETTING, METHODS

The first-trimester placental tissues were assayed for AEA levels by UPLC-MS/MS and respective enzymatic profile by western blot. The uNK cells were isolated and maintained in culture. The expression of angiogenic markers in uNK cells was examined by quantitative PCR (qPCR). The uNK-conditioned medium was analysed for IFN-γ, TNF-α and IL-10 production by enzyme-linked immunosorbent assay, and the impact on ESC differentiation was assessed by measuring decidual markers Prl, Igfbp-1 and Fox01 mRNA expression using qPCR.

MAIN RESULTS AND THE ROLE OF CHANCE

AEA levels were higher in miscarriage decidua compared with decidua from elective terminations. The uNK cell-conditioned medium from the miscarriage samples exhibited high TNF-α levels and interfered with the decidualisation of ESCs. Exacerbated inflammation and elevated TNF-α levels at the feto-maternal interface may trigger AEA signalling pathways that, in turn, may impact decidualisation and the angiogenic ability of uNK cells.

LARGE-SCALE DATA

N/A.

LIMITATIONS, REASONS FOR CAUTION

Primary uNK cell responses are based on a simple in vitro model. Thus, in complex microenvironments, such as the feto-maternal interface, the mechanisms may not be exactly the same. Also, the inflammatory events of miscarriage that, in this study, have happened prior to processing of the samples may cause different responses to that observed. In addition, the magnitude of the inflammatory response, required to trigger the AEA pathways that impact decidualisation and the uNK angiogenic ability in vivo, is still unclear.

WIDER IMPLICATIONS OF THE FINDINGS

The endocannabinoid AEA is a modulator of reproductive competence. AEA not only may contribute to neuroendocrine homeostasis but also can take part in uterine changes occurring during early pregnancy.

STUDY FUNDING/COMPETING INTEREST(S)

The work was supported by UID/MULTI/04378/2019 with funding from Fundação para a Ciência e a Tecnologia (FCT)/MCTES through national funds and PORTUGAL 2020 Partnership Agreement, NORTE-01-0145-FEDER-000024. S.C. Cunha acknowledges FCT for the IF/01616/2015 contract. There are no conflicts of interest.

Data integration for infrastructure asset management in small to medium-sized water utilities

Water utilities collect, store and manage vast data sets using many information systems (IS). For infrastructure asset management (IAM) planning those data need to be processed and transformed into information. However, information management efficiency often falls short of desired results. This happens particularly in municipalities where management is structured according to local government models. Along with the existing IS at the utilities' disposal, engineers and managers take their decisions based on information that is often incomplete, inaccurate or out-of-date. One of the main challenges faced by asset managers is integrating the several, often conflicting, sources of information available on the infrastructure, its condition and performance, and the various predictive analyses that can assist in prioritizing projects or interventions. This paper presents an overview of the IS used by Portuguese water utilities and discusses how data from different IS can be integrated in order to support IAM.

Past appendectomy may be related to early cognitive dysfunction in Parkinson's disease

INTRODUCTION

The vermiform appendix is a potential site of initiation of Parkinson's disease (PD) pathology. We hypothesized that the appendectomy earlier in life may alter the clinical expression of PD.

OBJECTIVE

To explore the effects of appendectomy prior to onset of PD motor symptoms on patients' symptoms, in particular on cognitive dysfunction.

METHODS

Two hundred and sixty-two consecutive PD patients were asked about past history of appendectomy and underwent an evaluation, which included the Unified Parkinson's Disease Rating Scale (UPDRS), Hoehn & Yahr scale (H&Y), Schwab & England Independence Scale (S&E), Dementia Rating Scale-2 (DRS-2), Apathy Evaluation Scale, Hospital Anxiety and Depression Scale, and Brief Smell Identification Test. Motor symptoms were evaluated in OFF and ON states. Non-parametric group comparisons and logistic regressions were used for data analyses.

RESULTS

Thirty-one patients (11.8%) had history of appendectomy prior to PD onset. These patients had more severe motor symptoms (UPDRS-III and H&Y) and lower functional independence (S&E) in ON and had higher frequency of cognitive dysfunction (DRS-2 Initiation/Perseveration, Conceptualization, and Memory subscales) (p < 0.05). The association between history of appendectomy and cognitive dysfunction was evident only in patients with late onset PD (≥ 55 years) and with disease duration ≤ 5 years. History of appendectomy remained statistically associated with impairment on DRS-2 Conceptualization and Memory subscales, when demographic and clinical variables were considered.

CONCLUSION

History of appendectomy appears to alter the clinical expression of late onset PD, with early cognitive impairment, more severe motor symptoms in ON, and poorer functional independence under anti-parkinsonian medication.

AB0983 LIPID METABOLISM AND DISEASE ACTIVITY IN JSLE PATIENTS

Background:

Systemic lupus erythematosus (SLE) is an autoimmune systemic disease associated with premature atherosclerosis. Risk factors include dyslipoproteinemia, inflammation, oxidized low-density lipoprotein (LDL), hyperhomocysteinemia and antiphospholipid antibodies. Hyperlipidemic condition is being reported to promote the production of proinflammatory cytokines such as IL-1β, IL-6, and IL-27 and lowering blood lipid levels improves the disease. Oxidative stress is elevated, mainly due to mitochondrial dysfunction, further disrupting lipid metabolism. Some drugs also have an impact on lipid profile, such as chronic steroid use, which worsens LDL, HDL, and TG levels.

Objectives:

To assess the relationship between lipid profile and disease activity in juvenile SLE (jSLE) patients.

Methods:

Retrospective study of jSLE patients, fulfilling both 2012 and 2019 EULAR/ACR classification criteria for SLE. Juvenile-onset was defined as age at diagnosis <18 years. Demographics and clinical characteristics were collected. To evaluate the activity of jSLE, the Systemic Lupus Erythematosus Disease Activity Index (SLEDAI) was used. Statistical analysis was performed with SPSS®. Spearman’s rank non-parametric test or Pearson’s parametric test were used to assess the bivariate correlation for inflammatory and metabolic variables. P value <0.05 was considered significant for all the statistical tests.

Results:

35 patients were included, with current median (min-max) age of 22 (16-35) years, mean (SD) age of diagnosis of 15.8 (2.4) years; 91.4%female. Median ESR was 19 (2-75) mm/h, CRP 1.65 (0.1-9.6) mg/L, albumin 41.6 (16.7-46.3) g/L, proteinuria 0.2 (0-3) g/dL, leukocyturia 0 (0-1362.7)/uL, erythrocyturia 0 (0-501.9)/uL and anti-double stranded DNA 89.3 (10-800) U/mL. Mean C3 was 102.1 (21.6), C4 17.1 (7.4) mg/dL and creatinine 0.63 (0.1) mg/dL. Median SLEDAI was 2 (0-12). All were ANA positive, 40 % positive for antinucleossome antibodies, 25.7% anti-ribossomal P protein antibody, 11.4% anti-Sm, 8.6% autoantibodies againstβ2-glycoproteinI, 8.6% anti-cardiolipin, 14.3% lupus anticoagulant, 37.1% anti-SSA and 8.6% anti-SSB. Articular manifestations were present in 48.6%, mucocutaneous in 77.1%, haematological in 45.7%, lupus nephritis in 42.9%, serositis in 8.6% and pulmonary interstitial disease in 2.9%. Mean (SD) total cholesterol values (TC) was 165.5 (44.7) mg/dL and LDL 94.5 (29.9) mg/dL. Median high-density lipoprotein was 52 (28-92) and triglycerides (TG) 81.5 (41-253) mg/dL. Median daily prednisolone dose was 5 (0-40) mg. 88.6% were treated with hydroxychloroquine, 31.4% with mychophenolate mophetil and 14.3% with azathioprine. TC was negatively correlated with serum albumin (p=0.043, rho=-378) and positively with SLEDAI (p=0.032; rho= 0.392), proteinuria (p=0.009; rho= 0.469) and leukocyturia (p=0.031; rho= 0.394). A positive correlation was found between LDL and proteinuria (p=0.043; rho= 0.385) and between TG and CRP (p=0.001; rho= 0.575). TG were also positively correlated with prednisolone daily dose (p=0.035; rho= 0.394). Mean LDL was higher in anti-Sm positive patients (p=0.022). No differences were found regarding anti-phospholipids antibodies. Nephritic lupus patients had worse lipid metabolism, but this did not reach statistical significance.

Conclusion:

In out cohort, increased expression of TC, LDL and TGs is associated with disease activity in SLE. As expected, higher doses of prednisolone also correlated with lipid metabolism.

References:

[1]Machado D et al. Lipid profile among girls with systemic lupus erythematosus. Rheumatol Int. 2017 Jan;37(1):43-48

Disclosure of Interests:

None declared

Concurrent Thalamostriatal and Corticostriatal Spike-Timing-Dependent Plasticity and Heterosynaptic Interactions Shape Striatal Plasticity Map

The striatum integrates inputs from the cortex and thalamus, which display concomitant or sequential activity. The striatum assists in forming memory, with acquisition of the behavioral repertoire being associated with corticostriatal (CS) plasticity. The literature has mainly focused on that CS plasticity, and little remains known about thalamostriatal (TS) plasticity rules or CS and TS plasticity interactions. We undertook here the study of these plasticity rules. We found bidirectional Hebbian and anti-Hebbian spike-timing-dependent plasticity (STDP) at the thalamic and cortical inputs, respectively, which were driving concurrent changes at the striatal synapses. Moreover, TS- and CS-STDP induced heterosynaptic plasticity. We developed a calcium-based mathematical model of the coupled TS and CS plasticity, and simulations predict complex changes in the CS and TS plasticity maps depending on the precise cortex–thalamus–striatum engram. These predictions were experimentally validated using triplet-based STDP stimulations, which revealed the significant remodeling of the CS-STDP map upon TS activity, which is notably the induction of the LTD areas in the CS-STDP for specific timing regimes. TS-STDP exerts a greater influence on CS plasticity than CS-STDP on TS plasticity. These findings highlight the major impact of precise timing in cortical and thalamic activity for the memory engram of striatal synapses.

Sleep disturbances in Parkinson's disease are associated with central parkinsonian pain

Introduction

Sleep disturbances and pain are common non-motor symptoms in Parkinson’s disease (PD). This study aimed to explore the association between these two symptoms in a cohort of patients with PD.

Materials and methods

The Parkinson’s Disease Sleep Scale (PDSS-2) was used to identify sleep disturbances in a series of 229 PD patients. The identification and characterization of pain was performed by a semi-structured interview and by the application of the Ford classification and the Brief Pain Inventory (BPI). The Unified Parkinson’s Disease Rating Scale-III, Hoehn & Yahr (H&Y), and Schwab and England Independence Scale were used to assess motor symptoms and functional independence in off and on conditions. The Hospital Anxiety and Depression Scale (HADS) and SF-36 were applied to screen for anxiety and depression and to evaluate the quality of life. Non-parametric tests were used for group comparisons and logistic regressions were applied to explore predictors of sleep disturbances.

Results

Seventy-five (33%) patients had clinically relevant sleep disturbances (PDSS-2≥18) and 162 patients (71%) reported pain. Of those with pain, 38 (24%) had central parkinsonian pain. PD patients with sleep disturbances experienced more pain and had more severe motor symptoms, lower functional independence, more anxiety and depression symptoms, and worst quality of life. Among patients with pain, central parkinsonian pain was the subtype of pain with the highest odds of sleep disturbances, even when taking into account motor symptoms (H&Y off), motor fluctuations, intensity of pain (BPI), and symptoms of anxiety and depression (HADS).

Conclusions

The association between pain and sleep disturbances in PD appears to be dependent on subtype of pain. The close relationship between central parkinsonian pain and sleep disturbances in PD raises the possibility of common pathophysiological mechanisms. A better understanding of the relationship between sleep disturbances and central parkinsonian pain may contribute to the development of new care strategies in PD patients.

Unveiling the relationship between central parkinsonian pain and motor symptoms in Parkinson's disease

BACKGROUND

Pain in Parkinson's disease (PD) is a common and heterogeneous non-motor symptom. Although the characteristics and predictors of pain in general and of central pain in particular are still largely unknown.

METHODS

A semi-structured interview, the Brief Pain Inventory and the Pain Disability Index were used to identify and characterize pain in a consecutive series of 292 PD patients. Unified PD Rating Scale-III, Hoehn & Yahr, Schwab and England Independence Scale and Freezing of Gait Questionnaire were applied to assess motor symptoms and functional independence in off and on conditions. Hospital Anxiety and Depression Scale and Questionnaire of Impulsive-Compulsive Control Disorders were used to screen for anxiety, depression and impulse control disorders.

RESULTS

Two hundred and twelve patients (73%) reported pain, which was classified as: musculoskeletal (63%), dystonia-related (27%), central parkinsonian (22%) and/or radicular or neuropathic (9%). Patients with pain had more comorbidities and more severe motor symptoms. Patients with central parkinsonian pain were significantly younger, had earlier disease onset, fewer comorbidities, greater non-axial motor symptom severity in on, more pain-related disability and more relief of pain with antiparkinsonian medication than patients with non-central parkinsonian pain.

CONCLUSIONS

PD patients with central parkinsonian pain have some distinctive demographic and clinical features, including lower levodopa responsiveness of motor appendicular/limb symptoms to levodopa, associated with greater responsiveness of pain symptoms to these same medications. These findings suggest the need for a more integrated approach to motor and non-motor symptoms in these patients' clinical care.

SIGNIFICANCE

In a consecutive series of 292 patients with PD, almost three quarters of patients with PD reported pain. The study results revealed that pain was related to more severe motor symptoms, anxiety symptoms and comorbidities. Among patients with pain, those with central parkinsonian subtype had distinct demographic and clinical features, including lower levodopa responsiveness for non-axial motor symptoms and greater responsiveness of pain to antiparkinsonian treatment.

Modulation of Spike-Timing Dependent Plasticity: Towards the Inclusion of a Third Factor in Computational Models

In spike-timing dependent plasticity (STDP) change in synaptic strength depends on the timing of pre- vs. postsynaptic spiking activity. Since STDP is in compliance with Hebb's postulate, it is considered one of the major mechanisms of memory storage and recall. STDP comprises a system of two coincidence detectors with N-methyl-D-aspartate receptor (NMDAR) activation often posited as one of the main components. Numerous studies have unveiled a third component of this coincidence detection system, namely neuromodulation and glia activity shaping STDP. Even though dopaminergic control of STDP has most often been reported, acetylcholine, noradrenaline, nitric oxide (NO), brain-derived neurotrophic factor (BDNF) or gamma-aminobutyric acid (GABA) also has been shown to effectively modulate STDP. Furthermore, it has been demonstrated that astrocytes, via the release or uptake of glutamate, gate STDP expression. At the most fundamental level, the timing properties of STDP are expected to depend on the spatiotemporal dynamics of the underlying signaling pathways. However in most cases, due to technical limitations experiments grant only indirect access to these pathways. Computational models carefully constrained by experiments, allow for a better qualitative understanding of the molecular basis of STDP and its regulation by neuromodulators. Recently, computational models of calcium dynamics and signaling pathway molecules have started to explore STDP emergence in ex and in vivo-like conditions. These models are expected to reproduce better at least part of the complex modulation of STDP as an emergent property of the underlying molecular pathways. Elucidation of the mechanisms underlying STDP modulation and its consequences on network dynamics is of critical importance and will allow better understanding of the major mechanisms of memory storage and recall both in health and disease.

Robustness of STDP to spike timing jitter

In Hebbian plasticity, neural circuits adjust their synaptic weights depending on patterned firing. Spike-timing-dependent plasticity (STDP), a synaptic Hebbian learning rule, relies on the order and timing of the paired activities in pre- and postsynaptic neurons. Classically, in ex vivo experiments, STDP is assessed with deterministic (constant) spike timings and time intervals between successive pairings, thus exhibiting a regularity that differs from biological variability. Hence, STDP emergence from noisy inputs as occurring in in vivo-like firing remains unresolved. Here, we used noisy STDP pairings where the spike timing and/or interval between pairings were jittered. We explored with electrophysiology and mathematical modeling, the impact of jitter on three forms of STDP at corticostriatal synapses: NMDAR-LTP, endocannabinoid-LTD and endocannabinoid-LTP. We found that NMDAR-LTP was highly fragile to jitter, whereas endocannabinoid-plasticity appeared more resistant. When the frequency or number of pairings was increased, NMDAR-LTP became more robust and could be expressed despite strong jittering. Our results identify endocannabinoid-plasticity as a robust form of STDP, whereas the sensitivity to jitter of NMDAR-LTP varies with activity frequency. This provides new insights into the mechanisms at play during the different phases of learning and memory and the emergence of Hebbian plasticity in in vivo-like activity.

Clinical spectrum of C9orf72 expansion in a cohort of Huntington's disease phenocopies

The expansion in the C9orf72 gene has been recently reported as a genetic cause of Huntington's disease (HD) phenocopies. We aim to assess the frequency of the C9orf72 gene expansion in a Portuguese HD phenocopies cohort. Twenty HD phenotype-like patients without diagnosis were identified in our institutional database. C9orf72 gene expansion was detected using repeat-primed PCR. Clinical files were reviewed to characterize the phenotype of expansion-positive cases. One patient (5%) was positive for the C9orf72 expansion. A second patient presented 27 repeats-within the intermediate size interval. Both had familial neuropsychiatric disease characterized by diverse movement disorders, dementia, and psychiatric dysfunction that was distinct in severity and clinical expression. C9orf72 disease is clinically heterogeneous and without evident imaging markers. The definition of the role of intermediate alleles and of the pathological threshold for C9orf72 repeat expansions may have diagnostic implications.

Evolutionary Wavelet Neural Network ensembles for breast cancer and Parkinson's disease prediction

Wavelet Neural Networks are a combination of neural networks and wavelets and have been mostly used in the area of time-series prediction and control. Recently, Evolutionary Wavelet Neural Networks have been employed to develop cancer prediction models. The present study proposes to use ensembles of Evolutionary Wavelet Neural Networks. The search for a high quality ensemble is directed by a fitness function that incorporates the accuracy of the classifiers both independently and as part of the ensemble itself. The ensemble approach is tested on three publicly available biomedical benchmark datasets, one on Breast Cancer and two on Parkinson's disease, using a 10-fold cross-validation strategy. Our experimental results show that, for the first dataset, the performance was similar to previous studies reported in literature. On the second dataset, the Evolutionary Wavelet Neural Network ensembles performed better than all previous methods. The third dataset is relatively new and this study is the first to report benchmark results.

The Improvement of Mental Health Competences and Skills on a Brazilian Federal University

Background

The extension project “UNIRIO is madness: the improvement of mental health competences and skills.” work since 2015 with “Ponto de Cultura Loucura Suburbana” on the promotion of mental health and culture style in Brazil. The project work on the development of psychosocial rehabilitation for psychiatric patients, their families and the community.

Aims

Participate on the production and execution on the artistic/therapeutic workshop that demystify the social stigmatizing vision about psychiatric patients.

Methods

The activities developed are: administrative actions; institutional strengthening for social inclusion initiative through work; and the Carnival Block organization.

Results

This study work on constituting a social inclusion initiative through workshop that generate employment, e.g.: sale material production, financial management, material replacement. Although we do all the preparative to the Carnival Block–“Loucura Suburbana”.

Conclusion

The relationship with the psychiatric patients shows that social inclusion through carnival workshop practice is the primary means for the identity of people suffering from mental disorders and contribute to reduce community social stigma.

Disclosure of interest

The authors have not supplied their declaration of competing interest.

Computer-Aided Breast Cancer Diagnosis with Optimal Feature Sets: Reduction Rules and Optimization Techniques

This chapter introduces a new method for knowledge extraction from databases for the purpose of finding a discriminative set of features that is also a robust set for within-class classification. Our method is generic and we introduce it here in the field of breast cancer diagnosis from digital mammography data. The mathematical formalism is based on a generalization of the k-Feature Set problem called (α, β)-k-Feature Set problem, introduced by Cotta and Moscato (J Comput Syst Sci 67(4):686-690, 2003). This method proceeds in two steps: first, an optimal (α, β)-k-feature set of minimum cardinality is identified and then, a set of classification rules using these features is obtained. We obtain the (α, β)-k-feature set in two phases; first a series of extremely powerful reduction techniques, which do not lose the optimal solution, are employed; and second, a metaheuristic search to identify the remaining features to be considered or disregarded. Two algorithms were tested with a public domain digital mammography dataset composed of 71 malignant and 75 benign cases. Based on the results provided by the algorithms, we obtain classification rules that employ only a subset of these features.