Autonomic function in amnestic and non-amnestic mild cognitive impairment: spectral heart rate variability analysis provides evidence for a brain–heart axis

Nicolini, Paola; Mari, Daniela; Abbate, Carlo; Inglese, Silvia; Bertagnoli, Laura; Tomasini, Emanuele; Rossi, Paolo; Lombardi, Federico

doi:10.1038/s41598-020-68131-x

Cited by 38 publications

(48 citation statements)

References 139 publications

(227 reference statements)

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“…It is generally accepted that cognitive score cut‐offs for MCI are 1.0 to 1.5 standard deviations below the mean of the normative group 61 (corresponding to the 7th and 16th percentiles, respectively, of the normative score distribution). We selected the 10th percentile threshold, in accordance with our previous work (e.g 62 63–65 …”

Section: Methodsmentioning

confidence: 99%

Different dimensions of social support differentially predict psychological well‐being in late life: opposite effects of perceived emotional support and marital status on symptoms of anxiety and of depression in older outpatients in Italy

et al. 2020

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Background Social support is important to psychological well‐being in late life. However, findings in the literature regarding its effects are mixed, less information is available for anxiety than for depressive symptoms, and few studies have been carried out in Italy. Therefore, the aim of this study was to investigate the influence of social support on symptoms of anxiety and of depression in a sample of geriatric outpatients in Italy. Methods This cross‐sectional study consecutively enrolled 299 outpatients without dementia (age ≥ 65, all neuropsychologically tested). Social support was assessed with the ENRICHD Social Support Instrument and by interview. Symptoms of anxiety and of depression were evaluated with short versions of the State‐Trait Personality Inventory Trait Anxiety and Geriatric Depression scales. The relationship between social support and psychological well‐being was examined by multiple linear regression models with socio‐demographic and clinical variables, including cognitive performance, as potential confounders. Results Perceived emotional support was a negative predictor of symptoms of anxiety (standardised beta coefficient (β) ‐0.288, standard error (SE) 0.074, P < 0.001) and symptoms of depression (β −0.196, SE 0.040, P < 0.001). On the contrary, marital status (i.e. being married) was a positive predictor of symptoms of anxiety (β 0.199, SE 0.728, P = 0.003) and symptoms of depression (β 0.142, SE 0.384, P = 0.035). Conclusions Different dimensions of social support differentially affect psychological well‐being. The protective effect of perceived emotional support is consistent with social cognitive models of health. The harmful effect of being married may be capturing the distress of the pre‐bereavement period. Alternatively, it may reflect oppression by gender roles within marriage in a predominantly female sample in a traditional society. Our findings provide insight into the relationship between social support and psychological well‐being, and identify potential targets for psychosocial interventions promoting mental health in late life.

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Section: Methodsmentioning

confidence: 99%

Different dimensions of social support differentially predict psychological well‐being in late life: opposite effects of perceived emotional support and marital status on symptoms of anxiety and of depression in older outpatients in Italy

et al. 2020

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“…The transmitral flow in diastolic refilling was impaired in patients with dementia who were not treated with acetylcholine esterase inhibitors. Thus, sympathetic hyperactivity might contribute to cognitive impairment (Vistisen et al, 2014;Nicolini et al, 2020). The percentage of patients with diabetes mellitus was higher in…”

Section: The Role Of Nfl For Risk Assessment For Cognitive Impairmentmentioning

confidence: 99%

The Role of Plasma Neurofilament Light Protein for Assessing Cognitive Impairment in Patients With End-Stage Renal Disease

Hou

Huang

et al. 2021

Front. Aging Neurosci.

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Introduction: End-stage renal disease (ESRD) is defined as the irreversible loss of renal function, necessitating renal replacement therapy. Patients with ESRD tend to have more risk factors for cognitive impairment than the general population, including hypertension, accumulative uremic toxin, anemia, and old age. The association between these risk factors and the pathologic protein was lacking. Blood-based assays for detecting pathologic protein, such as amyloid beta (Aβ), total tau protein, and neurofilament light chain (NfL), have the advantages of being less invasive and more cost-effective for diagnosing patients with cognitive impairment. The aim of the study is to validate if the common neurologic biomarkers were different in ESRD patients and to differentiate if the specific biomarkers could correlate with specific correctable risk factors.Methods: In total, 67 participants aged >45 years were enrolled. The definition of ESRD was receiving maintenance hemodialysis for >3 months. Cognitive impairment was defined as a Mini-Mental State Examination score of <24. The participants were divided into groups for ESRD with and without cognitive impairment. The blood-based biomarkers (tau protein, Aβ1/40, Aβ1/42, and NfL) were analyzed through immunomagnetic reduction assay. Other biochemical and hematologic data were obtained simultaneously.Summary of results: The study enrolled 43 patients with ESRD who did not have cognitive impairment and 24 patients with ESRD who had cognitive impairment [Mini-Mental State Examination (MMSE): 27.60 ± 1.80 vs. 16.84 ± 6.40, p < 0.05]. Among the blood-based biomarkers, NfL was marginally higher in the ESRD with cognitive impairment group than in the ESRD without cognitive impairment group (10.41 ± 3.26 vs. 8.74 ± 2.81 pg/mL, p = 0.037). The concentrations of tau protein, amyloid β 1/42, and amyloid β 1/40 (p = 0.504, 0.393, and 0.952, respectively) were similar between the two groups. The area under the curve of NfL to distinguish cognitively impaired and unimpaired ESRD patients was 0.687 (95% confidence interval: 0.548–0.825, p = 0.034). There was no correlation between the concentration of NfL and MMSE among total population (r = −0.153, p = 0.277), patients with (r = 0.137, p = 0.583) or without cognitive impairment (r = 0.155, p = 0.333).Conclusion: Patients with ESRD who had cognitive impairment had marginally higher plasma NfL concentrations. NfL concentration was not correlated with the biochemical parameters, total MMSE among total population or individual groups with or without cognitive impairment. The concentrations of Aβ1/40, Aβ1/42, and tau were similar between the groups.

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“…In line with pioneer observations of Claude-Bernard, Thayer and Lane have proposed that HRV could also be an index of the level to which the brain generates an adaptive peripheral body’s response to environmental changes [ 129 ]. A very recent study confirms that HRV analysis provides insight into a “brain-heart-axis” in old patients with mild cognitive impairments, suggesting that this autonomic assessment could help to identify subjects at higher risk of adverse health outcomes, especially among AD patients [ 130 ].…”

Section: Ambulatory Monitoring Of Auricular Vagal Tone Through Heart mentioning

confidence: 99%

The Vagal Autonomic Pathway of COVID-19 at the Crossroad of Alzheimer’s Disease and Aging: A Review of Knowledge

Rangon

Krantic

Moyse

et al. 2020

Journal of Alzheimer's Disease Reports

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Coronavirus Disease 2019 (COVID-19) pandemic-triggered mortality is significantly higher in older than in younger populations worldwide. Alzheimer’s disease (AD) is related to aging and was recently reported to be among the major risk factors for COVID-19 mortality in older people. The symptomatology of COVID-19 indicates that lethal outcomes of infection rely on neurogenic mechanisms. The present review compiles the available knowledge pointing to the convergence of COVID-19 complications with the mechanisms of autonomic dysfunctions in AD and aging. The severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) is prone to neuroinvasion from the lung along the vagus nerve up to the brainstem autonomic nervous centers involved in the coupling of cardiovascular and respiratory rhythms. The brainstem autonomic network allows SARS-CoV-2 to trigger a neurogenic switch to hypertension and hypoventilation, which may act in synergy with aging- and AD-induced dysautonomias, along with an inflammatory “storm”. The lethal outcomes of COVID-19, like in AD and unhealthy aging, likely rely on a critical hypoactivity of the efferent vagus nerve cholinergic pathway, which is involved in lowering cardiovascular pressure and systemic inflammation tone. We further discuss the emerging evidence supporting the use of 1) the non-invasive stimulation of vagus nerve as an additional therapeutic approach for severe COVID-19, and 2) the demonstrated vagal tone index, i.e., heart rate variability, via smartphone-based applications as a non-serological low-cost diagnostic of COVID-19. These two well-known medical approaches are already available and now deserve large-scale testing on human cohorts in the context of both AD and COVID-19.

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Autonomic function in amnestic and non-amnestic mild cognitive impairment: spectral heart rate variability analysis provides evidence for a brain–heart axis

Cited by 38 publications

References 139 publications

Different dimensions of social support differentially predict psychological well‐being in late life: opposite effects of perceived emotional support and marital status on symptoms of anxiety and of depression in older outpatients in Italy

Different dimensions of social support differentially predict psychological well‐being in late life: opposite effects of perceived emotional support and marital status on symptoms of anxiety and of depression in older outpatients in Italy

The Role of Plasma Neurofilament Light Protein for Assessing Cognitive Impairment in Patients With End-Stage Renal Disease

The Vagal Autonomic Pathway of COVID-19 at the Crossroad of Alzheimer’s Disease and Aging: A Review of Knowledge

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