HIHISIV: a database of gene expression in HIV and SIV host immune response.

In the battle of the host against lentiviral pathogenesis, the immune response is crucial. However, several questions remain unanswered about the interaction with different viruses and their influence on disease progression. The simian immunodeficiency virus (SIV) infecting nonhuman primates (NHP) is widely used as a model for the study of the human immunodeficiency virus (HIV) both because they are evolutionarily linked and because they share physiological and anatomical similarities that are largely explored to understand the disease progression. The HIHISIV database was developed to support researchers to integrate and evaluate the large number of transcriptional data associated with the presence/absence of the pathogen (SIV or HIV) and the host response (NHP and human). The datasets are composed of microarray and RNA-Seq gene expression data that were selected, curated, analyzed, enriched, and stored in a relational database. Six query templates comprise the main data analysis functions and the resulting information can be downloaded. The HIHISIV database, available at  https://hihisiv.github.io , provides accurate resources for browsing and visualizing results and for more robust analyses of pre-existing data in transcriptome repositories.

Development and validation of an instrument for measuring parkinsonian motor impairment: TRAPS-D.

BACKGROUND: Parkinson's disease is incurable, idiopathic, degenerative, and progressive, and affects about 1% of the elderly population. Multidisciplinary clinical treatment is the best and most adopted therapeutic option, while surgical treatment is used in less than 15% of those affected. In practice, there is a lack of reliable and validated scales for measuring motor impairment, and monitoring and screening for surgical indications. OBJECTIVE: To develop and validate an instrument for measuring parkinsonian motor impairment in candidates for neurosurgical treatment. METHOD: The development and validation methods followed published guidelines. The first part was the choice of domains that would make up the construct: cardinal signs of disease (tremor, rigidity (stiffness), posture/balance/gait, hypokinesia/akinesia, and speech), along with pain and dyskinesia. A multi-professional working group prepared an initial pilot instrument. Ten renowned specialists evaluated, judged, and suggested modifications to the instrument. The second phase was the evaluation of the content of each domain and the respective ability to classify commitment intensity. The third phase was the correction of the main flaws detected and new submission to the board. The instrument was applied to 41 candidates for neurosurgical treatment in two situations: with and without medication RESULTS: The final form received 100% agreement from the judges. Its average time for application was 8 min. It was very responsive (p = 0.001, Wilcoxon) in different situations (On-Off). CONCLUSION: TRASP-D is a valid instrument for measuring motor impairment in patients with Parkinson's disease who are candidates for neurosurgical treatment. It allows measurement in multiple domains with reliability and sensitivity.

Hippocampal subregional volume changes in elders classified using positron emission tomography-based Alzheimer's biomarkers of ß-amyloid deposition and neurodegeneration.

Changes in hippocampal subfield volumes (HSV) along the Alzheimer's disease (AD) continuum have been scarcely investigated to date in elderly subjects classified based on the presence of ß-amyloid aggregation and signs of neurodegeneration. We classified patients (either sex) with mild dementia compatible with AD (n = 35) or amnestic mild cognitive impairment (n = 39), and cognitively unimpaired subjects (either sex; n = 26) using [11 C]PIB-PET to assess ß-amyloid aggregation (A+) and [18 F]FDG-PET to account for neurodegeneration ((N)+). Magnetic resonance imaging-based automated methods were used for HSV and white matter hyperintensity (WMH) measurements. Significant HSV reductions were found in A+(N)+ subjects in the presubiculum/subiculum complex and molecular layer, related to worse memory performance. In both the A+(N)+ and A+(N)- categories, subicular volumes were inversely correlated with the degree of Aß deposition. The A-(N)+ subgroup showed reduced HSV relative to the A-(N)- subgroup also in the subiculum/presubiculum. Combining all (N)- subjects, HSV were lower in subjects presenting significant cognitive decline irrespective of A+/A- classification (controlling for WMH load); these between-group differences were detected again in the presubiculum, but also involved the CA4 and granular layer. These findings demonstrate that differential HSV reductions are detectable both in (N)+ and (N)- categories along the AD continuum, and are directly related to the severity of cognitive deficits. HSV reductions are larger both in A+(N)+ and A+(N)- subjects in direct proportion to the degree of Aß deposition. The meaningful HSV reductions detected in the A-(N)+ subgroup highlights the strength of biomarker-based classifications outside of the classical AD continuum.

Deficits in short-term memory binding are detectable in individuals with brain amyloid deposition in the absence of overt neurodegeneration in the Alzheimer's disease continuum.

The short-term memory binding (STMB) test involves the ability to hold in memory the integration between surface features, such as shapes and colours. The STMB test has been used to detect Alzheimer's disease (AD) at different stages, from preclinical to dementia, showing promising results. The objective of the present study was to verify whether the STMB test could differentiate patients with distinct biomarker profiles in the AD continuum. The sample comprised 18 cognitively unimpaired (CU) participants, 30 mild cognitive impairment (MCI) and 23 AD patients. All participants underwent positron emission tomography (PET) with Pittsburgh compound-B labelled with carbon-11 ([11C]PIB) assessing amyloid beta (Aß) aggregation (A) and 18fluorine-fluorodeoxyglucose ([18F]FDG)-PET assessing neurodegeneration (N) (A-N- [n = 35]); A+N- [n = 11]; A+ N+ [n = 19]). Participants who were negative and positive for amyloid deposition were compared in the absence (A-N- vs. A+N-) of neurodegeneration. When compared with the RAVLT and SKT memory tests, the STMB was the only cognitive task that differentiated these groups, predicting the group outcome in logistic regression analyses. The STMB test showed to be sensitive to the signs of AD pathology and may represent a cognitive marker within the AD continuum.

Big Data Research Infrastructure Collaboration Toward the SKA (BRICSKA).

Astronomy is entering an era of mega-data that will render conventional research methods as well as data and visual analytics tools ineffective. The Square Kilometre Array (SKA) drives one of the most significant big data challenges of the next decades. South Africa, China and India are partners in the global SKA collaboration and host recently completed, next generation radio astronomy facilities. South Africa, Brazil, China and India are involved in the Large Synoptic Survey Telescope (LSST), which represents a complementary mega-data challenge, vastly increasing the current data volume of optical surveys, and providing critical multi-wavelength data set for SKA analytics. Russian researchers are also engaged in radio astronomy and multi-wavelength, multi-messenger projects driving increasing volumes of observational data. This project brings together teams leading programs in data innovation in each partner country to collaborate on the development of new technologies and systems to meet the big data challenge of SKA pathfinder facilities and the multi-wavelength projects that are critical to the advance of astronomy. In so doing we will prototype and demonstrate scalable big data technologies for the new big data era, and establish a BRICS multinational federated data intensive cloud network for collaborative programs in data intensive astronomy.

Dementia in Latin America: Paving the way toward a regional action plan.

Across Latin American and Caribbean countries (LACs), the fight against dementia faces pressing challenges, such as heterogeneity, diversity, political instability, and socioeconomic disparities. These can be addressed more effectively in a collaborative setting that fosters open exchange of knowledge. In this work, the Latin American and Caribbean Consortium on Dementia (LAC-CD) proposes an agenda for integration to deliver a Knowledge to Action Framework (KtAF). First, we summarize evidence-based strategies (epidemiology, genetics, biomarkers, clinical trials, nonpharmacological interventions, networking, and translational research) and align them to current global strategies to translate regional knowledge into transformative actions. Then we characterize key sources of complexity (genetic isolates, admixture in populations, environmental factors, and barriers to effective interventions), map them to the above challenges, and provide the basic mosaics of knowledge toward a KtAF. Finally, we describe strategies supporting the knowledge creation stage that underpins the translational impact of KtAF.

Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters.

PURPOSE: [18F]FDG-PET and [11C]PIB-PET are validated as neurodegeneration and amyloid biomarkers of Alzheimer's disease (AD). We used a PET staging system based on the 2018 NIA-AA research framework to compare the proportion of amyloid positivity (A+) and hypometabolism ((N)+) in cases of mild probable AD, amnestic mild cognitive impairment (aMCI), and healthy controls, incorporating an additional classification of abnormal [18F]FDG-PET patterns and investigating the co-occurrence of such with A+, exploring [18F]FDG-PET to generate hypotheses in cases presenting with clinical-biomarker "mismatches." METHODS: Elderly individuals (N = 108) clinically classified as controls (N = 27), aMCI (N = 43) or mild probable AD (N = 38) were included. Authors assessed their A(N) profiles and classified [18F]FDG-PET neurodegenerative patterns as typical or non-typical of AD, performing re-assessments of images whenever clinical classification was in disagreement with the PET staging (clinical-biomarker "mismatches"). We also investigated associations between "mismatches" and sociodemographic and educational characteristics. RESULTS: AD presented with higher rates of A+ and (N)+. There was also a higher proportion of A+ and (N)+ individuals in the aMCI group in comparison to controls, however without statistical significance regarding the A staging. There was a significant association between amyloid positivity and AD (N)+ hypometabolic patterns typical of AD. Non-AD (N)+ hypometabolism was seen in all A- (N)+ cases in the mild probable AD and control groups and [18F]FDG-PET patterns classified such individuals as "SNAP" and one as probable frontotemporal lobar degeneration. All A- (N)- cases in the probable AD group had less than 4 years of formal education and lower socioeconomic status (SES). CONCLUSION: The PET-based staging system unveiled significant A(N) differences between AD and the other groups, whereas aMCI and controls had different (N) staging, explaining the cognitive impairment in aMCI. [18F]FDG-PET could be used beyond simple (N) staging, since it provided alternative hypotheses to cases with clinical-biomarker "mismatches." An AD hypometabolic pattern correlated with amyloid positivity. Low education and SES were related to dementia in the absence of biomarker changes.

Correction to: Brain PET amyloid and neurodegeneration biomarkers in the context of the 2018 NIA-AA research framework: an individual approach exploring clinical-biomarker mismatches and sociodemographic parameters.

In the last paragraph of the subsession "Recruitment of the study population and clinical Evaluation" (Material and methods session).

An analysis of malaria in the Brazilian Legal Amazon using divergent association rules.

In data analysis, the mining of frequent patterns plays an important role in the discovery of associations and correlations between data. During this process, it is common to produce thousands of association rules (ARs), making the study of each one arduous. This problem weakens the process of finding useful information. There is a scientific effort to develop approaches capable of filtering interesting patterns, balancing the number of ARs produced with the goal of not being trivial and known by specialists. However, even when such approaches are adopted, the number of produced ARs can still be high. This work contributes by presenting Divergent Association Rules Approach (DARA), a novel approach for obtaining ARs that presents themselves in divergence with the data distribution. DARA is applied right after traditional approaches to filtering interesting patterns. To validate our approach, we studied the dataset related to the occurrence of malaria in the Brazilian Legal Amazon. The discovered patterns highlight that ARs brought relevant insights from the data. This article contributes both in the medical and computer science fields since this novel computational approach enabled new findings regarding malaria in Brazil.

Addenbrooke's cognitive examination-revised: normative and accuracy data for seniors with heterogeneous educational level in Brazil.

BACKGROUND: Several cognitive tools have been developed aiming to diagnose dementia. The cognitive battery Addenbrooke's Cognitive Examination - Revised (ACE-R) has been used to detect cognitive impairment; however, there are few studies including samples with low education. The aim of the study was to provide ACE-R norms for seniors within a lower education, including illiterates. An additional aim was to examine the accuracy of the ACE-R to detect dementia and cognitive impairment no dementia (CIND). METHODS: Data originated from an epidemiological study conducted in the municipality of Tremembé, Brazil. The Brazilian version of ACE-R was applied as part of the cognitive assessment in all participants. Of the 630 participants, 385 were classified as cognitively normal (CN) and were included in the normative data set, 110 individuals were diagnosed with dementia, and 135 were classified as having CIND. RESULTS: ACE-R norms were provided with the sample stratified into age and education bands. ACE-R total scores varied significantly according to age, education, and sex. To distinguish CN from dementia, a cut-off of 64 points was established (sensitivity 91%, specificity 76%) and to differentiate CN from CIND the best cut-off was 69 points (sensitivity 73%, specificity 65%). Cut-off scores varied according to the educational level. CONCLUSIONS: This study offers normative and accuracy parameters for seniors with lower education and it should expand the use of the ACE-R for this population segment.

One of the most well-established age-related changes in neural activity disappears after controlling for visual acuity.

Numerous studies using a variety of imaging techniques have reported age-related differences in neural activity while subjects carry out cognitive tasks. Surprisingly little attention has been paid to the potential impact of age-associated changes in sensory acuity on these findings. Studies in the visual modality frequently report that their subjects had "normal or corrected- to-normal vision." However, in most cases, there is no indication that visual acuity was actually measured, and it is likely that the investigators relied largely on self-reported visual status of subjects, which is often inaccurate. We investigated whether differences in visual acuity influence one of the most commonly observed findings in the event-related potentials literature on cognitive aging, a reduction in posterior P3b amplitude, which is an index of cognitive decision-making/updating. Well-matched young (n=26) and old adults (n=29) participated in a visual oddball task. Measured visual acuity with corrective lenses was worse in old than young adults. Results demonstrated that the robust age-related decline in P3b amplitude to visual targets disappeared after controlling for visual acuity, but was unaffected by accounting for auditory acuity. Path analysis confirmed that the relationship between age and diminished P3b to visual targets was mediated by visual acuity, suggesting that conveyance of suboptimal sensory data due to peripheral, rather than central, deficits may undermine subsequent neural processing. We conclude that until the relationship between age-associated differences in visual acuity and neural activity during experimental tasks is clearly established, investigators should exercise caution attributing results to differences in cognitive processing.

GRN and MAPT Mutations in 2 Frontotemporal Dementia Research Centers in Brazil.

BACKGROUND: Mutations in GRN (progranulin) and MAPT (microtubule-associated protein tau) are among the most frequent causes of monogenic frontotemporal dementia (FTD), but data on the frequency of these mutations in regions such as Latin America are still lacking. OBJECTIVE: We aimed to investigate the frequencies of GRN and MAPT mutations in FTD cohorts from 2 Brazilian dementia research centers, the University of Sao Paulo and the Federal University of Minas Gerais medical schools. METHODS: We included 76 probands diagnosed with behavioral-variant FTD (n=55), semantic-variant Primary Progressive Aphasia (PPA) (n=11), or nonfluent-variant PPA (n=10). Twenty-five percent of the cohort had at least 1 relative affected with FTD. RESULTS: Mutations in GRN were identified in 7 probands, and in MAPT, in 2 probands. We identified 3 novel GRN mutations (p.Q130X, p.317Afs*12, and p.K259Afs*23) in patients diagnosed with nonfluent-variant PPA or behavioral-variant FTD. Plasma progranulin levels were measured and a cutoff value of 70 ng/mL was found, with 100% sensitivity and specificity to detect null GRN mutations. CONCLUSIONS: The frequency of GRN mutations was 9.6% and that of MAPT mutations was 7.1%. Among familial cases of FTD, the frequency of GRN mutations was 31.5% and that of MAPT mutations was 10.5%.

Prevalence of Cognitive Impairment Without Dementia and Dementia in Tremembé, Brazil.

BACKGROUND: The prevalence of cognitive impairment is insufficiently determined in developing countries. The aim of this study was to ascertain the prevalence of cognitive impairment without dementia and dementia in community-dwelling elderly in Brazil. METHODS: This was a single-phase cross-sectional survey of the elderly (aged 60 years and above) living in the municipality of Tremembé, Brazil. Twenty percent of the households with elderly persons were randomly selected from urban and rural areas, to obtain a homogenous representation of all socioeconomic and cultural levels. RESULTS: We assessed 630 individuals [mean age, 71.3 y (±7.99); mean years of education, 4.9 (±4.54)] and found prevalence rates of 17.5% (95% confidence interval, 14.6-20.6) for dementia and 19.5% (95% confidence interval, 16.6-22.8) for cognitive impairment without dementia. These prevalence rates were influenced by age (P<0.001) and by educational level (P<0.001). There was no significant sex difference among diagnostic groups (P=0.166). The prevalence of dementia was higher in relatively younger individuals (below 70 y) when compared with other studies. Besides, dementia was associated with low socioeconomic status, stroke, previous psychiatric disorder, alcoholism, and epilepsy. CONCLUSIONS: The prevalence of dementia in this study was higher than in other studies, particularly among younger elderly.

Olfactory symptoms reported by migraineurs with and without auras.

OBJECTIVE: Olfaction-related symptoms accompany migraine attacks and some, such as osmophobia, may be useful in differentiating migraine from other types of headaches. However, the types and frequencies of olfactory symptoms associated with migraine have not been well characterized. The goal of this study was to better characterize the olfactory symptoms of migraine. METHODS: A cross-sectional study was devised. One hundred and thirteen patients who met the International Classification of Headache Disorders II criteria for migraine were administered a new 65-item questionnaire specifically focused on olfaction-related experiences (eg, odor-related triggers, osmophobia, cacosmia, phantosmia, olfactory hallucinations, olfactory hypersensitivity, and self-perceived olfactory function). Visual analog scale ratings and frequencies were computed and compared between migraineurs with and without auras using t-tests and chi-square analyses. RESULTS: While osmophobia was present in 95.5% of the patients, the prevalence of other olfaction-related symptoms was much lower (interictal olfactory hypersensitivity [IOH], 14.1%; olfactory hallucinations, 6.2%; phantosmia, 4.4%; cacosmia/euosmia, 2.6%). Migraine was commonly triggered by odors (90.2%), with perfume being the most common trigger (95.1%), followed by cleaning products (81.3%), cigarette smoke (71.5%), and motor vehicle exhaust (70.5%). No significant differences in symptom frequencies were apparent between migraineurs with or without auras (P > .40). Interestingly, patients with IOH reported being less likely to experience osmophobia and odor-triggered crisis than did those without this symptom (respective percentages: 75% vs. 99% and 69% vs. 94%, P ≤ .002). Osmophobia and odor triggered headache were associated with a mild decrease in self-reported olfactory acuity. CONCLUSION: Odor-related disturbances were common symptoms of the 113 migraineurs, with nearly all reporting osmophobia. Perfume odor was the most common trigger for the migraine. The reported symptoms did not differ between patients with and without auras. Patients who experienced IOH appeared to fundamentally differ from those who did not experience IOH in terms of the incidence of osmophobia and odor-triggered crisis. Subjects who reported experiencing osmophobia and odor-triggered headache reported having worse olfactory acuity.

Response letter: Neuropsychiatric presentation of Covid-19-related encephalitis: Case report.

Covid-19-related encephalitis is a heterogeneous syndrome characterized by a combination of clinical, laboratory, and imaging features related to inflammation of the brain, where the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is presumably the causative agent. We reported a case of Covid-19-related encephalitis presenting with neuropsychiatric symptoms, including intense agitation. Reverse-transcriptase polymerase-chain-reaction in cerebrospinal fluid was positive for SARS-CoV-2. Our case expands the literature about neurologic manifestations of Covid-19 and emphasizes the possibility of prominent behavioral symptoms as the initial manifestation.

Neuropsychiatric presentation of Covid-19-related encephalitis: Case report.

Covid-19-related encephalitis is a heterogeneous syndrome characterized by a combination of clinical, laboratory, and imaging features related to inflammation of the brain, where the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is presumably the causative agent. We reported a case of Covid-19-related encephalitis presenting with neuropsychiatric symptoms, including intense agitation. Reverse-transcriptase polymerase-chain-reaction in cerebrospinal fluid was positive for SARS-CoV-2. Our case expands the literature about neurologic manifestations of Covid-19 and emphasizes the possibility of prominent behavioral symptoms as the initial manifestation.

Effect of medication withdrawal on pain in Parkinson's disease patients - an observational study based on a sample of patients without antiparkinsonian medications.

OBJECTIVES: To assess the effect of withdrawal of the antiparkinsonian drug regimen administration on patients with PD and its relation to pain. METHODS: The sample included 22 men and 12 women who were candidates for neurosurgery to control motor signs and symptoms treated with L-dopa as a drug, alone or in combination with others (Cholinergic Antagonists; Dopamine Agents). All of them were examined at two different moments, with and without medication, and analyzed for painful symptoms. The Hoehn and Yahr scale was used for functional staging of the disease. Pain intensity was assessed by using the numerical verbal scale. RESULTS: The mean pain intensity among those on medication {2.17±0.39 (SE)} was significantly lower than in the abstinence group {4.2±0.59 (SE), p=0.006, Wilcoxon}, which corresponded to the increase in the total functional staging score from 93 to 111, respectively. CONCLUSION: The interruption of the administration of specific medications in patients with Parkinson's disease caused, or increased the intensity of, painful discomfort correlated with the intensity of functional impairment. This effect was also observed in women, but it was statistically relevant only for men. The results suggest that pain may be a "red flag" that points to the need for a therapeutic drug review when its presence or worsening is detected.

Estimation of COVID-19 Under-Reporting in the Brazilian States Through SARI.

Due to its impact, COVID-19 has been stressing the academy to search for curing, mitigating, or controlling it. It is believed that under-reporting is a relevant factor in determining the actual mortality rate and, if not considered, can cause significant misinformation. Therefore, this work aims to estimate the under-reporting of cases and deaths of COVID-19 in Brazilian states using data from the InfoGripe. InfoGripe targets notifications of Severe Acute Respiratory Infection (SARI). The methodology is based on the combination of data analytics (event detection methods) and time series modeling (inertia and novelty concepts) over hospitalized SARI cases. The estimate of real cases of the disease, called novelty, is calculated by comparing the difference in SARI cases in 2020 (after COVID-19) with the total expected cases in recent years (2016-2019). The expected cases are derived from a seasonal exponential moving average. The results show that under-reporting rates vary significantly between states and that there are no general patterns for states in the same region in Brazil. The states of Minas Gerais and Mato Grosso have the highest rates of under-reporting of cases. The rate of under-reporting of deaths is high in the Rio Grande do Sul and the Minas Gerais. This work can be highlighted for the combination of data analytics and time series modeling. Our calculation of under-reporting rates based on SARI is conservative and better characterized by deaths than for cases.

Frontotemporal Dementia and Late-Onset Bipolar Disorder: The Many Directions of a Busy Road.

It is a common pathway for patients with the behavioral variant of frontotemporal dementia (bvFTD) to be first misdiagnosed with a primary psychiatric disorder, a considerable proportion of them being diagnosed with bipolar disorder (BD). Conversely, not rarely patients presenting in late life with a first episode of mania or atypically severe depression are initially considered to have dementia before the diagnosis of late-onset BD is reached. Beyond some shared features that make these conditions particularly prone to confusion, especially in the elderly, the relationship between bvFTD and BD is far from simple. Patients with BD often have cognitive complaints as part of their psychiatric disorder but are at an increased risk of developing dementia, including FTD. Likewise, apathy and disinhibition, common features of depression and mania, respectively, are among the core features of the bvFTD syndrome, not to mention that depression may coexist with dementia. In this article, we take advantage of the current knowledge on the neurobiology of these two nosologic entities to review their historical and conceptual interplay, highlighting the clinical, genetic and neuroimaging features that may be shared by both disorders or unique to each of them.

Cipura paludosa attenuates long-term behavioral deficits in rats exposed to methylmercury during early development.

In the present study, we evaluated the effects of the ethanolic extract (EE) of Cipura paludosa on locomotor, and anxiety- and depression-like behaviors of adult rats exposed to MeHg during early development. Additionally, the antioxidant enzymes catalase (CAT) and selenium-glutathione peroxidase (Se-GPx) were measured in cortical, hippocampal, and cerebellar tissues. Pregnant Wistar rats were treated by gavage with a single dose of MeHg (8 mg/kg) on gestational day 15, the developmental stage critical for cortical neuron proliferation. Moreover, prenatal MeHg exposure inhibited CAT and Se-GPx in the cortex and cerebellum. Chronic treatment with the EE of C. paludosa attenuated these emotional and antioxidant deficits induced by prenatal MeHg toxic exposure. This study provides novel evidence that developmental exposure to MeHg can affect not only cognitive functions but also locomotor, and anxiety- and depression-like behaviors.