Peripheral Leukocytosis Predicts Cognitive Decline but Not Behavioral Disturbances: A Nationwide Study of Alzheimer’s and Parkinson’s Disease Patients

Unda, Santiago R.; Antoniazzi, Aldana M.; Altschul, David; Marongiu, Roberta

doi:10.1159/000516340

Cited by 6 publications

(2 citation statements)

References 49 publications

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“…Furthermore, this study examined the correlation between blood and urine biomarkers and aMCI. Previous studies 37 have reported leukocytosis as an independent risk factor for Parkinson's disease, while other studies have found no signi cant difference in white blood cell (WBC) counts between the MCI group and the normal group 22 . It remains unclear whether the analysis of systemic in ammatory markers, represented by white blood cells, can serve as a useful indicator for predicting MCI.…”

Section: Discussionmentioning

confidence: 95%

Development and validation of a risk prediction model for amnestic mild cognitive impairment in older adults residing in communities

Ai,

Zhang,

Wang

et al. 2023

Preprint

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Background Amnestic mild cognitive impairment (aMCI) is the most common subtype of MCI with a much higher risk of Alzheimer’s disease (AD) transition. this study aimed to develop and validate a non-invasive and affordable initial diagnostic instrument based on neuropsychological assessment and routine physical examination that will identify individuals with potentially reversible aMCI. Methods Data was obtained from Brain Health Cognitive Management Team in Wuhan (https://hbtcm.66nao.com/admin/). A total of 1007 community elders aged over 65 years were recruited and randomly allocated to either a training or validation set at a 7:3 ratio. Ten questionnaires were used to comprehensively collect data including the demography information, chronic disease history, hobbies, and cognitive assessment results of the elderly; Combined with the physical examination results such as blood pressure, blood sugar, blood lipids, blood routine, liver and kidney function, and urine routine, a risk prediction model was constructed with a multivariate logistic regression, and the performance of the model was assessed with respect to its discrimination, calibration, and clinical usefulness, the results were quantified and visualized through the Area Under the Curve (AUC), Calibration Curve (CC), and Decision Curve Analysis (DCA), respectively. Results The mean age was 71 years old (ranged from 67 to74), and females accounted for 59.48% in all 1007 participants, among them, aMCI (n = 401). Among all predictors, Diastolic Blood Pressure (DBP), Pulse (P), Hemoglobin (HGB) were lower in the validation set than the training set; the validation set had higher prevalence of diabetes and gastroenteropathy (P < 0.05). The optimal model ultimately includes 11 significant variables: Montreal Cognitive Assessment (MoCA), Mini-Mental State Examination (MMSE), Instrumental Activities of Daily Living (IADL), center, education, job, planting flowers/keeping pets, singing, Num. of hobbies, Urine Occult Blood (UOB), Urine Protein (UP). The AUC was 0.787 (95% CI: 0.753–0.821) in the training set, and the AUC of 0.780 (95% CI: 0.728–0.832) was verified internally by bootstrapping in the validation set, indicating that the diagnostic model has a good discrimination. Model diagnostics showed good calibration (Hosmer Lemeshow test, X2 = 9.4759, P = 0.304, P＞0.05) and good agreement of the CC in both training and validation sets. The DCA showed a favorable net benefit for clinical use (if the predicted risk of aMCI is greater than 45.9%, divide elder individuals into high-risk groups to manage, resulting in a net benefit rate of 14% among the modeled population). Conclusions This multivariate prediction model can effectively identify older adults at high risk for aMCI, assist in early screening and targeted management of primary healthcare, and promote healthy aging.

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Section: Discussionmentioning

confidence: 95%

Development and validation of a risk prediction model for amnestic mild cognitive impairment in older adults residing in communities

Ai,

Zhang,

Wang

et al. 2023

Preprint

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“…Inflammation of the peripheral and central nervous system leads to the classic symptoms of Alzheimer’s disease (AD) [ 92 ]. A recent study identified that the gut microbiome has a significant impact on the disease pathology in an AD mouse model (5xFAD).…”

Section: The Pre and Clinical Neurological Effect Of Probioticsmentioning

confidence: 99%

Novel Insights into the Role of Probiotics in Respiratory Infections, Allergies, Cancer, and Neurological Abnormalities

et al. 2021

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In recent years, probiotics have attracted public attention and transformed the social perception of microorganisms, convening a beneficial role/state on human health. With aging, the immune system, body physiology, and intestinal microbiota tend to change unfavorably, resulting in many chronic conditions. The immune-mediated disorders can be linked to intestinal dysbiosis, consequently leading to immune dysfunctions and a cluster of conditions such as asthma, autoimmune diseases, eczema, and various allergies. Probiotic bacteria such as Lactobacillus and Bifidobacterium species are considered probiotic species that have a great immunomodulatory and anti-allergic effect. Moreover, recent scientific and clinical data illustrate that probiotics can regulate the immune system, exert anti-viral and anti-tumoral activity, and shields the host against oxidative stress. Additionally, microbiota programming by probiotic bacteria can reduce and prevent the symptoms of respiratory infections and ameliorate the neurological status in humans. This review describes the most recent clinical findings, including safe probiotic therapies aiming to medicate respiratory infections, allergies, cancer, and neurological disorders due to their physiological interconnection. Subsequently, we will describe the major biological mechanism by which probiotic bacteriotherapy expresses its anti-viral, anti-allergic, anticancer, and neuro-stimulatory effects.

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Role of inflammation in the socioeconomic inequalities of neurocognitive disorders

Gireesh¹,

Sacker²,

McMunn³

et al. 2023

Brain, Behavior, and Immunity

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Peripheral Leukocytosis Predicts Cognitive Decline but Not Behavioral Disturbances: A Nationwide Study of Alzheimer’s and Parkinson’s Disease Patients

Cited by 6 publications

References 49 publications

Development and validation of a risk prediction model for amnestic mild cognitive impairment in older adults residing in communities

Development and validation of a risk prediction model for amnestic mild cognitive impairment in older adults residing in communities

Novel Insights into the Role of Probiotics in Respiratory Infections, Allergies, Cancer, and Neurological Abnormalities

Role of inflammation in the socioeconomic inequalities of neurocognitive disorders

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