Mild Cognitive Deficits Research Articles

Mild cognitive impairment in amyotrophic lateral sclerosis: current view.

Amyotrophic lateral sclerosis (ALS) is a fatal multi-system neurodegenerative disorder with no effective treatment or cure. Although primarily characterized by motor degeneration, cognitive dysfunction is an important non-motor symptom that has a negative impact on patient and caregiver burden. Mild cognitive deficits are present in a subgroup of non-demented patients with ALS, often preceding motor symptoms. Detailed neuropsychological assessments reveal deficits in a variety of cognitive domains, including those of verbal fluency and retrieval, language, executive function, attention and verbal memory. Mild cognitive impairment (MCI), a risk factor for developing dementia, affects between 10% and over 50% of ALS patients. Neuroimaging revealed atrophy of frontal and temporal cortices, disordered white matter Integrity, volume reduction in amygdala and thalamus, hypometabolism in the frontal and superior temporal gyrus and anterior insula. Neuronal loss in non-motor brain areas, associated with TDP-43 deposition, one of the morphological hallmarks of ALS, is linked to functional disruption of frontostriatal and frontotemporo-limbic connectivities as markers for cognitive deficits in ALS, the pathogenesis of which is still poorly understood. Early diagnosis by increased cerebrospinal fluid or serum levels of neurofilament light/heavy chain or glial fibrillary acidic protein awaits confirmation for MCI in ALS. These fluid biomarkers and early detection of brain connectivity signatures before structural changes will be helpful not only in establishing early premature diagnosis but also in clarifying the pathophysiological mechanisms of MCI in ALS, which might serve as novel targets for prohibition/delay and future adequate treatment of this debilitating disorder.

Extracellular Vesicles from Mesenchymal Stem Cells Reverse Neuroinflammation and Restore Motor Coordination in Hyperammonemic Rats.

Cirrhotic patients may show minimal hepatic encephalopathy (MHE), with mild cognitive impairment and motor deficits. Hyperammonemia and inflammation are the main contributors to the cognitive and motor alterations of MHE. Hyperammonemic rats reproduce these alterations. There are no specific treatments for the neurological alterations of MHE. Extracellular vesicles from mesenchymal stem cells (MSC-EVs) are promising to treat inflammatory and immune diseases. We aimed to assess whether treatment of hyperammonemic rats with MSC-EVs reduced neuroinflammation in cerebellum and restored motor coordination and to study the mechanisms involved. The effects of MSC-EVs were studied in vivo by intravenous injection to hyperammonemic rats and ex vivo in cerebellar slices. Motor coordination was analyzed using the beam walking test. Effects on neuroinflammation were assessed by immunohistochemistry, immunofluorescence and Western blot. Injection of MSC-EVs reduced microglia and astrocytes activation in cerebellum and restored motor coordination in hyperammonemic rats. Ex vivo experiments show that MSC-EVs normalize pro-inflammatory factors, including TNFα, NF-kB activation and the activation of two key pathways leading to motor incoordination (TNFR1-NF-kB-glutaminase-GAT3 and TNFR1-CCL2-BDNF-TrkB-KCC2). TGFβ in the EVs was necessary for these beneficial effects. MSC-EVs treatment reverse neuroinflammation in the cerebellum of hyperammonemic rats and the underlying mechanisms leading to motor incoordination. Therapy with MSC-EVs may be useful to improve motor function in patients with MHE.

Cognitive and Behavioral Profile of Patients with Amyotrophic Lateral Sclerosis Spectrum in the Indian Context.

Amyotrophic lateral sclerosis (ALS) is characterized by motor, cognitive, and behavioral impairment. There is a paucity of evidence about the cognitive/behavioral features of ALS patients from India. We aimed to investigate the cognitive/behavioral profile of ALS spectrum disorders in the Indian context. Sixty patients with ALS spectrum and 40 age-, gender-, and education-matched healthy controls were recruited. The scales used were Addenbrooke's Cognitive Examination (ACE-III), Clinical Dementia Rating (CDR) scale, and Frontal Systems Behavior (FrSBe) Scale. The mean age of the overall cohort was 55 years, and male-to-female ratio was 2.5:1. The mean duration of illness of the cohort was 16 months. Patients were classified as ALS with normal cognition (ALS-cn, n = 21), mild cognitive or behavioral deficits (ALS-ci/-bi, n = 28), and frontotemporal dementia (ALS-FTD, n = 11). ALS-cn had poorer scores compared to healthy controls in global cognition, memory, and language (p < 0.05). ALS-ci/-bi performed poorer than healthy controls on all cognitive domains (p < 0.05). ALS-FTD had poorer scores than healthy controls and ALS-cn on all cognitive domains (p < 0.001). Behavioral assessment showed an increase in apathy among all subtypes. ALS-FTD showed significant worsening in disinhibition and executive function compared to ALS-cn and ALS-ci/-bi. Our findings suggest that there are key cognitive and behavior characteristics in Indian patients with ALS spectrum. This further strengthens the evidence of a cognitive continuum in ALS and FTD in a diverse context and highlights the importance of meticulous evaluation and correct diagnosis that would assist in better management.

Spontaneous cerebrovascular reactivity at rest in older adults with and without mild cognitive impairment and memory deficits.

Older adults with mild cognitive impairment (MCI) exhibit deficits in cerebrovascular reactivity (CVR), suggesting CVR is a biomarker for vascular contributions to MCI. This study examined if spontaneous CVR is associated with MCI and memory impairment. 161 older adults free of dementia or major neurological/psychiatric disorders were recruited. Participants underwent clinical interviews, cognitive testing, venipuncture for Alzheimer's biomarkers, and brain MRI. Spontaneous CVR was quantified during 5 minutes of rest. Whole brain CVR was negatively associated with age, but not MCI. Lower CVR in the parahippocampal gyrus (PHG) was found in participants with MCI and was linked to worse memory performance on memory tests. Results remained significant after adjusting for Alzheimer's biomarkers and vascular risk factors. Spontaneous CVR deficits in the PHG are observed in older adults with MCI and memory impairment, indicating medial temporal microvascular dysfunction's role in cognitive decline.

Cerebral glucose metabolic correlates of cognitive and behavioural impairments in amyotrophic lateral sclerosis

ObjectiveHalf of ALS patients are cognitively and/or behaviourally impaired. As cognition/behaviour and cerebral glucose metabolism can be correlated by means of 18F-Fluorodeoxyglucose positron emission tomography (FDG-PET), we aimed to utilise FDG-PET, first, to replicate group-level differences in glucose metabolism between non-demented ALS patients separated into non-impaired (ALSni), cognitively impaired (ALSci), behaviourally impaired (ALSbi), and cognitively and behaviourally impaired (ALScbi) groups; second, to investigate glucose metabolism and performance in various cognitive domains; and third, to examine the impact of partial volume effects correction (PVEC) of the FDG-PET data on the results.MethodsWe analysed neuropsychological, clinical, and imaging data from 67 ALS patients (30 ALSni, 21 ALSci, 5 ALSbi, and 11 ALScbi). Cognition was assessed with the Edinburgh Cognitive and Behavioural ALS Screen, and two social cognition tests. FDG-PET and structural MRI scans were acquired for each patient. Voxel-based statistical analyses were undertaken on grey matter volume (GMV) and non-corrected vs. PVE-corrected FDG-PET scans.ResultsALSci and ALScbi had lower cognitive scores than ALSni. In contrast to both ALSni and ALSci, ALScbi showed widespread hypometabolism in the superior- and middle-frontal gyri in addition to the right temporal pole. Correlations were observed between the GMV, the FDG-PET signal, and various cognitive scores. The FDG-PET results were largely unaffected by PVEC.InterpretationOur study identified widespread differences in hypometabolism in the ALScbi-ni but not in the ALSci-ni group comparison, raising the possibility that cerebral metabolism may be more closely related to the presence of behavioural changes than to mild cognitive deficits.

Microscopic fractional anisotropy outperforms multiple sclerosis lesion assessment and clinical outcome associations over standard fractional anisotropy tensor.

We aimed to compare the ability of diffusion tensor imaging and multi-compartment spherical mean technique to detect focal tissue damage and in distinguishing between different connectivity patterns associated with varying clinical outcomes in multiple sclerosis (MS). Seventy-six people diagnosed with MS were scanned using a SIEMENS Prisma Fit 3T magnetic resonance imaging (MRI), employing both conventional (T1w and fluid-attenuated inversion recovery) and advanced diffusion MRI sequences from which fractional anisotropy (FA) and microscopic FA (μFA) maps were generated. Using automated fiber quantification (AFQ), we assessed diffusion profiles across multiple white matter (WM) pathways to measure the sensitivity of anisotropy diffusion metrics in detecting localized tissue damage. In parallel, we analyzed structural brain connectivity in a specific patient cohort to fully grasp its relationships with cognitive and physical clinical outcomes. This evaluation comprehensively considered different patient categories, including cognitively preserved (CP), mild cognitive deficits (MCD), and cognitively impaired (CI) for cognitive assessment, as well as groups distinguished by physical impact: those with mild disability (Expanded Disability Status Scale [EDSS] <=3) and those with moderate-severe disability (EDSS >3). In our initial objective, we employed Ridge regression to forecast the presence of focal MS lesions, comparing the performance of μFA and FA. μFA exhibited a stronger association with tissue damage and a higher predictive precision for focal MS lesions across the tracts, achieving an R-squared value of .57, significantly outperforming the R-squared value of .24 for FA (p-value <.001). In structural connectivity, μFA exhibited more pronounced differences than FA in response to alteration in both cognitive and physical clinical scores in terms of effect size and number of connections. Regarding cognitive groups, FA differences between CP and MCD groups were limited to 0.5% of connections, mainly around the thalamus, while μFA revealed changes in 2.5% of connections. In the CP and CI group comparison, which have noticeable cognitive differences, the disparity was 5.6% for FA values and 32.5% for μFA. Similarly, μFA outperformed FA in detecting WM changes between the MCD and CI groups, with 5% versus 0.3% of connections, respectively. When analyzing structural connectivity between physical disability groups, μFA still demonstrated superior performance over FA, disclosing a 2.1% difference in connectivity between regions closely associated with physical disability in MS. In contrast, FA spotted a few regions, comprising only 0.6% of total connections. In summary, μFA emerged as a more effective tool than FA in predicting MS lesions and identifying structural changes across patients with different degrees of cognitive and global disability, offering deeper insights into the complexities of MS-related impairments.

Neurofilament Light Chain as a Biomarker of Global Cognition in Individuals With Possible Vascular Mild Cognitive Impairment.

Neurofilament Light Chain (NfL) is a biomarker of axonal injury elevated in mild cognitive impairment (MCI) and Alzheimer's disease dementia. Blood NfL also inversely correlates with cognitive performance in those conditions. However, few studies have assessed NfL as a biomarker of global cognition in individuals demonstrating mild cognitive deficits who are at risk for vascular-related cognitive decline. To assess the relationship between blood NfL and global cognition in individuals with possible vascular MCI (vMCI) throughout cardiac rehabilitation (CR). Additionally, NfL levels were compared to age/sex-matched cognitively unimpaired (CU) controls. Participants with coronary artery disease (vMCI or CU) were recruited at entry to a 24-week CR program. Global cognition was measured using the Montreal Cognitive Assessment (MoCA) and plasma NfL level (pg/ml) was quantified using a highly sensitive enzyme-linked immunosorbent assay. Higher plasma NfL was correlated with worse MoCA scores at baseline (β = -.352, P = .029) in 43 individuals with vMCI after adjusting for age, sex, and education. An increase in NfL was associated with worse global cognition (b[SE] = -4.81[2.06], P = .023) over time, however baseline NfL did not predict a decline in global cognition. NfL levels did not differ between the vMCI (n = 39) and CU (n = 39) groups (F(1, 76) = 1.37, P = .245). Plasma NfL correlates with global cognition at baseline in individuals with vMCI, and is associated with decline in global cognition during CR. Our findings increase understanding of NfL and neurobiological mechanisms associated with cognitive decline in vMCI.

Moving Beyond Depression: Mood Symptoms Across the Spectrum Relate to Tau Pathology in Older Women at Risk for Alzheimer's Disease.

We examined how symptoms across the mood spectrum relate to Alzheimer's disease (AD) biomarkers in older women at high risk for AD. Participants included 25 women aged 65+ with mild cognitive deficits and elevated AD genetic risk. The Profile of Mood States Questionnaire measured mood symptoms and a total mood disturbance (TMD) score. Tau burden in the meta-temporal region of interest was measured using MK-6240 Tau positron emission tomography (PET) imaging. A subset (n = 12) also had p-Tau181, and Aß40/42 levels measured in plasma. Higher TMD scores related to higher tau PET standardized uptake value ratio (SUVR). Greater negative mood symptoms correlated with higher tau PET SUVR, while greater vigor correlated with lower SUVR. Similar results were seen with plasma p-Tau181 levels, but not with Aβ40/42 levels. In conclusion, positive and negative mood symptoms related to tau pathology in older women at high risk for AD, highlighting a role of mental well-being in AD risk.

Intermittent Metabolic Switching and Vascular Cognitive Impairment.

Intermittent fasting (IF), a dietary pattern alternating between eating and fasting periods within a 24-hour cycle, has garnered recognition for its potential to enhance both healthspan and lifespan in animal models and humans. It also shows promise in alleviating age-related diseases, including neurodegeneration. Vascular cognitive impairment (VCI) spans a severity range from mild cognitive deficits to severe cognitive deficits and loss of function in vascular dementia. Chronic cerebral hypoperfusion has emerged as a significant contributor to VCI, instigating vascular pathologies such as microbleeds, blood-brain barrier dysfunction, neuronal loss, and white matter lesions. Preclinical studies in rodents strongly suggest that IF has the potential to attenuate pathological mechanisms, including excitotoxicity, oxidative stress, inflammation, and cell death pathways in VCI models. Hence, this supports evaluating IF in clinical trials for both existing and at-risk VCI patients. This review compiles existing data supporting IF's potential in treating VCI-related vascular and neuronal pathologies, emphasizing the mechanisms by which IF may mitigate these issues. Hence providing a comprehensive overview of the available data supporting IF's potential in treating VCI by emphasizing the underlying mechanisms that make IF a promising intervention for VCI.

Prefrontal intra-individual ERP variability and its asymmetry: exploring its biomarker potential in mild cognitive impairment

BackgroundThe worldwide trend of demographic aging highlights the progress made in healthcare, albeit with health challenges like Alzheimer’s Disease (AD), prevalent in individuals aged 65 and above. Its early detection at the mild cognitive impairment (MCI) stage is crucial. Event-related potentials (ERPs) obtained by averaging EEG segments responded to repeated events are vital for cognitive impairment research. Consequently, examining intra-trial ERP variability is vital for comprehending fluctuations within psychophysiological processes of interest. This study aimed to investigate cognitive deficiencies and instability in MCI using ERP variability and its asymmetry from a prefrontal two-channel EEG device.MethodsIn this study, ERP variability for both target and non-target responses was examined using the response variance curve (RVC) in a sample comprising 481 participants with MCI and 1,043 age-matched healthy individuals. The participants engaged in auditory selective attention tasks. Cognitive decline was assessed using the Seoul Neuropsychological Screening Battery (SNSB) and the Mini-Mental State Examination (MMSE). The research employed various statistical methods, including independent t-tests, and univariate and multiple logistic regression analyses. These analyses were conducted to investigate group differences and explore the relationships between neuropsychological test results, ERP variability and its asymmetry measures, and the prevalence of MCI.ResultsOur results showed that patients with MCI exhibited unstable cognitive processing, characterized by increased ERP variability compared to cognitively normal (CN) adults. Multiple logistic regression analyses confirmed the association between ERP variability in the target and non-target responses with MCI prevalence, independent of demographic and neuropsychological factors.DiscussionThe unstable cognitive processing in the MCI group compared to the CN individuals implies abnormal neurological changes and reduced and (or) unstable attentional maintenance during cognitive processing. Consequently, utilizing ERP variability measures from a portable EEG device could serve as a valuable addition to the conventional ERP measures of latency and amplitude. This approach holds significant promise for identifying mild cognitive deficits and neural alterations in individuals with MCI.

Protocol for a construct and clinical validation study of MyCog Mobile: a remote smartphone-based cognitive screener for older adults

IntroductionAnnual cognitive screening in older adults is essential for early detection of cognitive impairment, yet primary care settings face time constraints that present barriers to routine screening. A remote cognitive...

Association between proton pump inhibitors and risk of hepatic encephalopathy in patients undergoing transjugular intrahepatic portosystemic shunt: a protocol for a systematic review and meta-analysis

IntroductionHepatic encephalopathy (HE) is a major complication of acute liver failure, cirrhosis and transjugular intrahepatic portosystemic shunt (TIPS) placement. Its clinical manifestations range from mild cognitive deficits to coma. Furthermore,...

Models of mild cognitive deficits in risk assessment in early psychosis.

Mild cognitive deficits (MCD) emerge before the first episode of psychosis (FEP) and persist in the clinical high-risk (CHR) stage. This study aims to refine risk prediction by developing MCD models optimized for specific early psychosis stages and target populations. A comprehensive neuropsychological battery assessed 1059 individuals with FEP, 794 CHR, and 774 matched healthy controls (HCs). CHR subjects, followed up for 2 years, were categorized into converters (CHR-C) and non-converters (CHR-NC). The MATRICS Consensus Cognitive Battery standardized neurocognitive tests were employed. Both the CHR and FEP groups exhibited significantly poorer performance compared to the HC group across all neurocognitive tests (all p < 0.001). The CHR-C group demonstrated poorer performance compared to the CHR-NC group on three sub-tests: visuospatial memory (p < 0.001), mazes (p = 0.005), and symbol coding (p = 0.023) tests. Upon adjusting for sex and age, the performance of the MCD model was excellent in differentiating FEP from HC, as evidenced by an Area Under the Receiver Operating Characteristic Curve (AUC) of 0.895 (p < 0.001). However, when applied in the CHR group for predicting CHR-C (AUC = 0.581, p = 0.008), the performance was not satisfactory. To optimize the efficiency of psychotic risk assessment, three distinct MCD models were developed to distinguish FEP from HC, predict CHR-C from CHR-NC, and identify CHR from HC, achieving accuracies of 89.3%, 65.6%, and 80.2%, respectively. The MCD exhibits variations in domains, patterns, and weights across different stages of early psychosis and diverse target populations. Emphasizing precise risk assessment, our findings highlight the importance of tailored MCD models for different stages and risk levels.

Hearing loss in juvenile rats leads to excessive play fighting and hyperactivity, mild cognitive deficits and altered neuronal activity in the prefrontal cortex

BackgroundIn children, hearing loss has been associated with hyperactivity, disturbed social interaction, and risk of cognitive disturbances. Mechanistic explanations of these relations sometimes involve language. To investigate the effect of hearing loss on behavioral deficits in the absence of language, we tested the impact of hearing loss in juvenile rats on motor, social, and cognitive behavior and on physiology of prefrontal cortex. MethodsHearing loss was induced in juvenile (postnatal day 14) male Sprague-Dawley rats by intracochlear injection of neomycin under general anesthesia. Sham-operated and non-operated hearing rats served as controls. One week after surgery auditory brainstem response (ABR) measurements verified hearing loss or intact hearing in sham-operated and non-operated controls. All rats were then tested for locomotor activity (open field), coordination (Rotarod), and for social interaction during development in weeks 1, 2, 4, 8, 16, and 24 after surgery. From week 8 on, rats were trained and tested for spatial learning and memory (4-arm baited 8-arm radial maze test). In a final setting, neuronal activity was recorded in the medial prefrontal cortex (mPFC). ResultsIn the open field deafened rats moved faster and covered more distance than sham-operated and non-operated controls from week 8 on (both p < 0.05). Deafened rats showed significantly more play fighting during development (p < 0.05), whereas other aspects of social interaction, such as following, were not affected. Learning of the radial maze test was not impaired in deafened rats (p > 0.05), but rats used less next-arm entries than other groups indicating impaired concept learning (p < 0.05). In the mPFC neuronal firing rate was reduced and enhanced irregular firing was observed. Moreover, oscillatory activity was altered, both within the mPFC and in coherence of mPFC with the somatosensory cortex (p < 0.05). ConclusionsHearing loss in juvenile rats leads to hyperactive behavior and pronounced play-fighting during development, suggesting a causal relationship between hearing loss and cognitive development. Altered neuronal activities in the mPFC after hearing loss support such effects on neuronal networks outside the central auditory system. This animal model provides evidence of developmental consequences of juvenile hearing loss on prefrontal cortex in absence of language as potential confounding factor.

An IoT-based cognitive impairment detection device: A newly proposed method in older adults care-choice reaction time-device development and data-driven validation.

Research shows that older adults' performance on choice reaction time (CRT) tests can predict cognitive decline. A simple CRT tool could help detect mild cognitive impairment (MCI) and preclinical dementia, allowing for further stratification of cognitive disorders on-site or via telemedicine. The primary objective was to develop a CRT testing device and protocol to differentiate between two cognitive impairment categories: (a) subjective cognitive decline (SCD) and non-amnestic mild cognitive impairment (na-MCI), and (b) amnestic mild cognitive impairment (a-MCI) and multiple-domain a-MCI (a-MCI-MD). A pilot study in Italy and Romania with 35 older adults (ages 61-85) assessed cognitive function using the Mini-Mental State Examination (MMSE) and a CRT color response task. Reaction time, accuracy, and demographics were recorded, and machine learning classifiers analyzed performance differences to predict preclinical dementia and screen for mild cognitive deficits. Moderate correlations were found between the MMSE score and both mean reaction time and mean accuracy rate. There was a significant difference between the two groups' reaction time for blue light, but not for any other colors or for mean accuracy rate. SVM and RUSBoosted trees were found to have the best preclinical dementia prediction capabilities among the tested classifier algorithms, both presenting an accuracy rate of 77.1%. CRT testing with machine learning effectively differentiates cognitive capacities in older adults, facilitating early diagnosis and stratification of neurocognitive diseases and can also identify impairments from stressors like dehydration and sleep deprivation. This study highlights the potential of portable CRT devices for monitoring cognitive function, including SCD and MCI.

Health and Society: A brief overview of journal articles summary

In this issue of Medicus journal we collected articles which are focused on health patterns, health care and economy, as well as health behaviours. A study from Germany shows models of care for elderly people and the alternative policy strategies such as to stay at home with the help of live-in care. Another study reports on the attitudes (acceptability, preferences, and needs) of Albanian physiotherapists and the general population toward telerehabilitation. This cross-sectional observational study is conducted among the physiotherapists and the general population asking them about their experiences with telerehabilitation in physiotherapy in order to evaluate how recognized and applied is this field in Albania. There are included two literature reviews in this issue. One literature review is about Alzheimer’s disease, one of the most prevalent neurodegenerative illness. It is not yet fully understood how neuronal shrinkage and synaptic loss occur across the cerebral cortex and the interplay of genetic and environmental risk factors. This paper gives an overview of Alzheimer’s disease and its pathogenesis. The second literature review aims to understand the kidney-brain interconnection. Cognitive impairment is a significant concern in chronic kidney disease patients, manifesting as a spectrum ranging from mild cognitive deficits to clinically relevant dementia. This literature review explores the clinical significance and the potential mechanisms underlying cognitive impairment in patients with chronic kidney disease. Its approach also highlights ongoing research initiatives, structural and hemodynamic similarities between the kidney and brain. It is included an epidemiological study which measures the incidence and prevalence of rheumatoid arthritis in the Elbasan district of Albania during the last decade. The study also reports the correlation of different genetic, lifestyle factors (smoking, alcohol consumption, meat and fat consumption) and comorbidities with other chronic diseases such as cardiovascular diseases and diabetes in patients diagnosed with rheumatoid arthritis. Pneumomediastinum is a rare complication that occurs in patients with Pneumonia caused by COVID-19 and the authors of a case report shows how a timely diagnosis of pneumomediastinum in patients with Covid-19 would prevent the occurrence of life-threatening complications.

Exploring Cognitive Dysfunction as a Secondary Effect of Kidney Disease: Unveiling the Kidney-Brain Interconnection. A Literature Review

Background: Chronic Kidney Disease (CKD) is increasingly recognized as a systemic condition affecting not only renal function but also various extra-renal systems, including the central nervous system. Cognitive impairment (CI) has emerged as a significant concern in CKD patients, manifesting as a spectrum ranging from mild cognitive deficits to clinically relevant dementia. Methods: A literature research of electronic databases (Pub-med library, NDT articles and Google Scholar covering the period from 2003-to March 2024) were conducted to assess the association of CKD and cognitive impairment. Results: This literature review explores the historical perspectives, definitions, clinical significance, methodological challenges, and potential mechanisms underlying CI in CKD. Furthermore, it highlights ongoing research initiatives, structural and hemodynamic similarities between the kidney and brain. Conclusions: Increasing clinician’s awareness of CI in CKD is essential to improving its early identification. Therefore, the early identification of possible precursors of CI and the diagnosis and prevention of it is of increased importance. Due to the complexity of CKD, there is tremendous need for increased multidisciplinary team for future directions in this ever-expanding area which is pivotal to our patient’s quality and quantity of life. Keywords: Cognitive impairment, chronic kidney disease, kidney-brain axis.

Region-specific changes in gene expression are associated with cognitive deficits in the alpha-synuclein-induced model of Parkinson's disease: A transcriptomic profiling study

Mild cognitive impairment (MCI) is a common trait of Parkinson's disease (PD), often associated with early motor deficits, eventually evolving to PD with dementia in later disease stages. The neuropathological substrate of MCI is poorly understood, which weakens the development and administration of proper therapies.In an α-synuclein (αSyn)-based model of PD featuring early motor and cognitive impairments, we investigated the transcriptome profile of brain regions involved in PD with cognitive deficits, via a transcriptomic analysis based on RNA sequencing (RNA-seq) technology.Rats infused in the substantia nigra with human α-synuclein oligomers (H-SynOs) developed mild cognitive deficits after three months, as measured by the two-trial recognition test in a Y-maze and the novel object recognition test. RNA-seq analysis showed that 17,436 genes were expressed in the anterior cingulate cortex (ACC) and 17,216 genes in the hippocampus (HC). In the ACC, 51 genes were differentially expressed between vehicle and H-αSynOs treated samples, which showed N= 21 upregulated and N = 30 downregulated genes. In the HC, 104 genes were differentially expressed, the majority of them not overlapping with DEGs in the ACC, with N = 41 upregulated and N = 63 downregulated in H-αSynOs-treated samples. The Gene Ontology (GO) and the Kyoto Encyclopedia of Gene and Genomes (KEGG) analysis, followed by the protein-protein interaction (PPI) network inspection of DEGs, revealed that in the ACC most enriched terms were related with immune functions, specifically with antigen processing/presentation via the major histocompatibility complex (MHC) class II and phagocytosis via CD68, supporting a role for dysregulated immune responses in early PD cognitive dysfunction. Immunofluorescence analysis confirmed the decreased expression of CD68 within microglial cells. In contrast, the most significantly enriched terms in the HC were mainly involved in mitochondrial homeostasis, potassium voltage-gated channel, cytoskeleton and fiber organisation, suggesting that the gene expression in the neuronal population was mostly affected in this region in early disease stages.Altogether results show that H-αSynOs trigger a region-specific dysregulation of gene expression in ACC and HC, providing a pathological substrate for MCI associated with early PD.

Sleep spindle architecture associated with distinct clinical phenotypes in older adults at risk for dementia

Sleep spindles are a hallmark of non-REM sleep and play a fundamental role in memory consolidation. Alterations in these spindles are emerging as sensitive biomarkers for neurodegenerative diseases of ageing. Understanding the clinical presentations associated with spindle alterations may help to elucidate the functional role of these distinct electroencephalographic oscillations and the pathophysiology of sleep and neurodegenerative disorders. Here, we use a data-driven approach to examine the sleep, memory and default mode network connectivity phenotypes associated with sleep spindle architecture in older adults (mean age = 66 years). Participants were recruited from a specialist clinic for early diagnosis and intervention for cognitive decline, with a proportion showing mild cognitive deficits on neuropsychological testing. In a sample of 88 people who underwent memory assessment, overnight polysomnography and resting-state fMRI, a k-means cluster analysis was applied to spindle measures of interest: fast spindle density, spindle duration and spindle amplitude. This resulted in three clusters, characterised by preserved spindle architecture with higher fast spindle density and longer spindle duration (Cluster 1), and alterations in spindle architecture (Clusters 2 and 3). These clusters were further characterised by reduced memory (Clusters 2 and 3) and nocturnal hypoxemia, associated with sleep apnea (Cluster 3). Resting-state fMRI analysis confirmed that default mode connectivity was related to spindle architecture, although directionality of this relationship differed across the cluster groups. Together, these results confirm a diversity in spindle architecture in older adults, associated with clinically meaningful phenotypes, including memory function and sleep apnea. They suggest that resting-state default mode connectivity during the awake state can be associated with sleep spindle architecture; however, this is highly dependent on clinical phenotype. Establishing relationships between clinical and neuroimaging features and sleep spindle alterations will advance our understanding of the bidirectional relationships between sleep changes and neurodegenerative diseases of ageing.

The Japan‐multimodal intervention trial for prevention of dementia (J‐MINT): a multi‐center, randomized, 18‐month controlled trial

AbstractBackgroundThe Japan‐multimodal intervention trial for prevention of dementia (J‐MINT) aimed to examine the efficacy of the multi‐domain intervention in the prevention of cognitive decline in older adults at high risk of dementia.MethodThe J‐MINT is an 18‐month, multi‐centered, randomized controlled trial. Participants aged 65‐85 years with mild cognitive deficits were recruited and randomized into multi‐domain intervention (management of vascular risk factors, group‐based physical exercise, nutritional counseling, and cognitive training) and control groups (health‐related information in writing every 2 months) at a 1:1 allocation ratio using the dynamic allocation method. The primary outcome was a change from baseline to 18‐month follow‐up in a composite Z score combining several neuropsychological tests, which include tests of global cognitive function (MMSE); memory (Logical memory I and II subset of the Wechsler Memory Scale‐Revised and the Free and Cued Selective Reminding Test); attention (Digit Span); executive function/processing speed (Trail Making Test, Digit Symbol Substitution Test, and Letter word fluency test).ResultBetween November 26, 2019, and December 28, 2020, 1677 participants were screened and 531 were randomly assigned to the multi‐domain intervention group (n = 265) or control group (n = 266). Four hundred and three (75.9%) participants completed the trial. The full analysis set included 433 patients who received the intervention program/health‐related information at least once. In the primary efficacy analysis, there were no significant differences in the change of composite Z score between the intervention group and the control group (mean difference 0.047 [95% CI ‐0.029 to 0.124]). In the analysis for each neuropsychological test, the score of the letter word fluency test in the intervention group significantly improved by a mean of 0.827 (95% CI = 0.356 to 1.298) points, whereas the mean difference between the intervention group and control group was not significant (mean difference 0.625 [95% CI ‐0.039 to 1.289]). In subgroup analyses, the intervention effect on composite Z score was significant among older adults with the apolipoprotein‐E (APOE) ε4 allele (mean difference 0.164 [95% CI 0.011 to 0.317]).ConclusionThe multi‐domain intervention showed significant efficacy for the prevention of cognitive decline among Japanese older adults with the APOE ε4 allele.