Cognitive impairment in cerebral small vessel disease induced by hypertension

Hypertension is a primary risk factor for the progression of cognitive impairment caused by cerebral small vessel disease,the most common cerebrovascular disease.Howeve r,the causal relationship between hypertension and cerebral small vessel disease remains unclear.Hypertension has substantial negative impacts on brain health and is recognized as a risk factor for cerebrovascular disease.Chronic hypertension and lifestyle factors are associated with risks for stro ke and dementia,and cerebral small vessel disease can cause dementia and stroke.Hypertension is the main driver of cerebral small vessel disease,which changes the structure and function of cerebral vessels via various mechanisms and leads to lacunar infarction,leukoaraiosis,white matter lesions,and intracerebral hemorrhage,ultimately res ulting in cognitive decline and demonstrating that the brain is the to rget organ of hypertension.This review updates our understanding of the pathogenesis of hypertensioninduced cerebral small vessel disease and the res ulting changes in brain structure and function and declines in cognitive ability.We also discuss drugs to treat cerebral small vessel disease and cognitive impairment.

Risk factors for cognitive impairment in patients with chronic kidney disease

BACKGROUND Chronic kidney disease(CKD)patients have been found to be at risk of concurrent cognitive dysfunction in previous studies,which has now become an important public health issue of widespread concern.AIM To investigate the risk factors for concurrent cognitive dysfunction in patients with CKD.METHODS This is a prospective cohort study conducted among patients with CKD between October 2021 and March 2023.A questionnaire was formulated by literature review and expert consultation and included questions about age,sex,education level,per capita monthly household income,marital status,living condition,payment method,and hypertension.RESULTS Logistic regression analysis showed that patients aged 60-79 years[odds ratio(OR)=1.561,P=0.015]and≥80 years(OR=1.760,P=0.013),participants with middle to high school education(OR=0.820,P=0.027),divorced or widowed individuals(OR=1.37,P=0.032),self-funded patients(OR=2.368,P=0.008),and patients with hypertension(OR=2.011,P=0.041)had a higher risk of cognitive impairment.The risk of cognitive impairment was lower for those with a college degree(OR=0.435,P=0.034)and married individuals.CONCLUSION The risk factors affecting cognitive dysfunction are age,60-79 years and≥80 years;education,primary school education or less;marital status,divorced or widowed;payment method,selffunded;hypertension;and CKD.

Web-based cognitive interventions on subjective cognitive impairment in cancer survivors:A systemic review

Objective:Cancer survivors have experienced subjective cognitive impairment(SCI)when they received cancer diagnoses or treatments.Their psychosocial and emotional statuses were also impacted.With the advancement of web technologies,web-based cognitive interventions have been implemented in the management and the alleviation of the SCI,the psychosocial distress,and the emotional distress in cancer survivors.This review aimed to summarize the intervention contents of web-based cognitive interventions for SCI,and to explore the effects of the interventions on SCI,psychosocial status,and emotional health.Methods:Six databases(CINAHL Plus,Cochrane Library,Embase,APA PsycInfo,PubMed and CNKI)were searched from the establishment of databases up to December 2023.Literature references were also manually searched for related articles.Results:This review contained 21 studies that covered the contents of web-based cognitive interventions,such as computer-assisted cognitive training,online cognitive rehabilitation,cognitive behavior therapy with the Internet,telehealth physical exercise,and web-based mindfulness interventions.The effects of web-based cognitive interventions positively impacted SCI for cancer survivors.Also,these interventions showed varying degrees of effectiveness in alleviating psychosocial and emotional distresses.Conclusion:By summarizingfive types of cognitive intervention contents delivered via web technology,this review demonstrated that web-based cognitive interventions optimized SCI and overall psychosocial and emotional statuses for the cancer survivors.It is recommended that future research focus on the development of customized web-based cognitive interventions for individuals with SCI,along with their psychosocial and emotional statuses.

Glyphosate as a direct or indirect activator of pro-inflammatory signaling and cognitive impairment

Glyphosate-based herbicides are widely used around the world, making it likely that most humans have significant exposure. Because of habitual exposure, there are concerns about toxicity including neurotoxicity that could result in neurological, psychiatric, or cognitive impairment. We recently found that a single injection of glyphosate inhibits long-term potentiation, a cellular model of learning and memory, in rat hippocampal slices dissected 1 day after injection, indicating that glyphosate-based herbicides can alter cognitive function. Glyphosate-based herbicides could adversely affect cognitive function either indirectly and/or directly. Indirectly, glyphosate could affect gut microbiota, and if dysbiosis results in endotoxemia(leaky gut), infiltrated bacterial by-products such as lipopolysaccharides could activate pro-inflammatory cascades. Glyphosate can also directly trigger pro-inflammatory cascades. Indeed, we observed that acute glyphosate exposure inhibits long-term potentiation in rat hippocampal slices. Interestingly, direct inhibition of long-term potentiation by glyphosate appears to be similar to that of lipopolysaccharides. There are several possible measures to control dysbiosis and neuroinflammation caused by glyphosate. Dietary intake of polyphenols, such as quercetin, which overcome the inhibitory effect of glyphosate on long-term potentiation, could be one effective strategy. The aim of this narrative review is to discuss possible mechanisms underlying neurotoxicity following glyphosate exposure as a means to identify potential treatments.

Relationship of Retinal Nerve Fiber Layer Thickness and Retinal Vessel Calibers with Cognitive Impairment in the Asymptomatic Polyvascular Abnormalities Population

Objective Cognitive impairment(CI)in older individuals has a high morbidity rate worldwide,with poor diagnostic methods and susceptible population identification.This study aimed to investigate the relationship between different retinal metrics and CI in a particular population,emphasizing polyvascular status.Methods We collected information from the Asymptomatic Polyvascular Abnormalities Community Study on retinal vessel calibers,retinal nerve fiber layer(RNFL)thickness,and cognitive function of 3,785participants,aged 40 years or older.Logistic regression was used to analyze the relationship between retinal metrics and cognitive function.Subgroups stratified by different vascular statuses were also analyzed.Results RNFL thickness was significantly thinner in the CI group(odds ratio:0.973,95%confidence interval:0.953–0.994).In the subgroup analysis,the difference still existed in the non-intracranial arterial stenosis,non-extracranial carotid arterial stenosis,and peripheral arterial disease subgroups(P<0.05).Conclusion A thin RNFL is associated with CI,especially in people with non-large vessel stenosis.The underlying small vessel change in RNFL and CI should be investigated in the future.

SIL1 improves cognitive impairment in APP23/PS45 mice by regulating amyloid precursor protein processing and Aβ generation

SIL1,an endoplasmic reticulum(ER)-resident protein,is reported to play a protective role in Alzheimer’s disease(AD).However,the effect of SIL1 on amyloid precursor protein(APP)processing remains unclear.In this study,the role of SIL1 in APP processing was explored both in vitro and in vivo.In the in vitro experiment,SIL1 was either overexpressed or knocked down in cells stably expressing the human Swedish mutant APP695.In the in vivo experiment,AAV-SIL1-EGFP or AAV-EGFP was microinjected into APP23/PS45 mice and their wild-type littermates.Western blotting(WB),immunohistochemistry,RNA sequencing(RNA-seq),and behavioral experiments were performed to evaluate the relevant parameters.Results indicated that SIL1 expression decreased in APP23/PS45 mice.Overexpression of SIL1 significantly decreased the protein levels of APP,presenilin-1(PS1),and C-terminal fragments(CTFs)of APP in vivo and in vitro.Conversely,knockdown of SIL1 increased the protein levels of APP,β-site APP cleavage enzyme 1(BACE1),PS1,and CTFs,as well as APP mRNA expression in 2EB2 cells.Furthermore,SIL1 overexpression reduced the number of senile plaques in APP23/PS45 mice.Importantly,Y-maze and Morris Water maze tests demonstrated that SIL1 overexpression improved cognitive impairment in APP23/PS45 mice.These findings indicate that SIL1 improves cognitive impairment in APP23/PS45 mice by inhibiting APP amyloidogenic processing and suggest that SIL1 is a potential therapeutic target for AD by modulating APP processing.

Decreased levels of phosphorylated synuclein in plasma are correlated with poststroke cognitive impairment

Poststro ke cognitive impairment is a major secondary effect of ischemic stroke in many patients;however,few options are available for the early diagnosis and treatment of this condition.The aims of this study were to(1)determine the specific relationship between hypoxic andα-synuclein during the occur of poststroke cognitive impairment and(2)assess whether the serum phosphorylatedα-synuclein level can be used as a biomarker for poststro ke cognitive impairment.We found that the phosphorylatedα-synuclein level was significantly increased and showed pathological aggregation around the cerebral infa rct area in a mouse model of ischemic stroke.In addition,neuronalα-synuclein phosphorylation and aggregation were observed in the brain tissue of mice subjected to chronic hypoxia,suggesting that hypoxia is the underlying cause ofα-synuclein-mediated pathology in the brains of mice with ischemic stroke.Serum phosphorylatedα-synuclein levels in patients with ischemic stroke were significantly lower than those in healt hy subjects,and were positively correlated with cognition levels in patients with ischemic stroke.Furthermore,a decrease in serum high-density lipoprotein levels in stroke patie nts was significantly correlated with a decrease in phosphorylatedα-synuclein levels.Although ischemic stroke mice did not show significant cognitive impairment or disrupted lipid metabolism 14 days after injury,some of them exhibited decreased cognitive function and reduced phosphorylatedα-synuclein levels.Taken together,our results suggest that serum phosphorylatedα-synuclein is a potential biomarker for poststroke cognitive impairment.

Enhancing Mild Cognitive Impairment Detection through Efficient Magnetic Resonance Image Analysis

Neuroimaging has emerged over the last few decades as a crucial tool in diagnosing Alzheimer’s disease(AD).Mild cognitive impairment(MCI)is a condition that falls between the spectrum of normal cognitive function and AD.However,previous studies have mainly used handcrafted features to classify MCI,AD,and normal control(NC)individuals.This paper focuses on using gray matter(GM)scans obtained through magnetic resonance imaging(MRI)for the diagnosis of individuals with MCI,AD,and NC.To improve classification performance,we developed two transfer learning strategies with data augmentation(i.e.,shear range,rotation,zoom range,channel shift).The first approach is a deep Siamese network(DSN),and the second approach involves using a cross-domain strategy with customized VGG-16.We performed experiments on the Alzheimer’s Disease Neuroimaging Initiative(ADNI)dataset to evaluate the performance of our proposed models.Our experimental results demonstrate superior performance in classifying the three binary classification tasks:NC vs.AD,NC vs.MCI,and MCI vs.AD.Specifically,we achieved a classification accuracy of 97.68%,94.25%,and 92.18%for the three cases,respectively.Our study proposes two transfer learning strategies with data augmentation to accurately diagnose MCI,AD,and normal control individuals using GM scans.Our findings provide promising results for future research and clinical applications in the early detection and diagnosis of AD.

Trends in the Application of Dyadic Coping in Older Adults with Mild Cognitive Impairment and Their Spouses

Dyadic coping plays an important role in older adults with mild cognitive impairment and their spouses. Significant correlations were found between dyadic coping and self-efficacy, anxiety and depression, marital quality, and quality of life in elderly patients with mild cognitive impairment and their spouses, and there were gender differences, with a 36.1% [P = 0.028, OR = 0.639, 95% CI (0.429, 0.952)] and 54% [P = 0.004, OR = 0.460, 95% CI (0.269, 0.785)] reduction in the risk of MCI and dementia for older men aged 65 - 69 years with a spouse and for those aged 80 years and older with a spouse, respectively. In contrast, there was no significant difference in the association between having or not having a spouse and developing MCI and dementia in older women (all P > 0.05). Psychosocial interventions, skills interventions, and exercise from the perspective of dyadic relationships were effective in improving the physical and mental health of older adults with mild cognitive impairment and their spouses. However, there is a lack of specific intervention programs for dyadic relationships in the local cultural context as an entry point. Therefore, it is necessary to draw on internal and external relevant literature to treat both partners as a whole for intervention, provide personalized social, cognitive and motor therapy for patients and promote the integration and participation of caregivers, help patients and spouses to improve the sense of well-being and intimacy, reduce the burden of caregivers, and build a dyadic coping intervention program suitable for elderly patients with mild cognitive impairment in China. The current article aims to provide a conceptual review focusing on dyadic coping care to inform the development of a dyadic intervention program suitable for older adults with mild cognitive impairment in China. This review outlines the theoretical concepts, assessment tools, current state of research, and intervention methods for mild cognitive impairment and dyadic coping.

Brain Functional Network Changes in Patients with Poststroke Cognitive Impairment Following Acupuncture Therapy

Background: The mechanisms by which acupuncture affects poststroke cognitive impairment (PSCI) remain unclear. Objective: To investigate brain functional network (BFN) changes in patients with PSCI after acupuncture therapy. Methods: Twenty-two PSCI patients who underwent acupuncture therapy in our hospital were enrolled as research subjects. Another 14 people matched for age, sex, and education level were included in the normal control (HC) group. All the subjects underwent resting-state functional magnetic resonance imaging (rs-fMRI) scans;the PSCI patients underwent one scan before acupuncture therapy and another after. The network metric difference between PSCI patients and HCs was analyzed via the independent-sample t test, whereas the paired-sample t test was employed to analyze the network metric changes in PSCI patients before vs. after treatment. Results: Small-world network attributes were observed in both groups for sparsities between 0.1 and 0.28. Compared with the HC group, the PSCI group presented significantly lower values for the global topological properties (γ, Cp, and Eloc) of the brain;significantly greater values for the nodal attributes of betweenness centrality in the CUN. L and the HES. R, degree centrality in the SFGdor. L, PCG. L, IPL. L, and HES. R, and nodal local efficiency in the ORBsup. R, ORBsupmed. R, DCG. L, SMG. R, and TPOsup. L;and decreased degree centrality in the MFG. R, IFGoperc. R, and SOG. R. After treatment, PSCI patients presented increased degree centrality in the LING.L, LING.R, and IOG. L and nodal local efficiency in PHG. L, IOG. R, FFG. L, and the HES. L, and decreased betweenness centrality in the PCG. L and CUN. L, degree centrality in the ORBsupmed. R, and nodal local efficiency in ANG. R. Conclusion: Cognitive decline in PSCI patients may be related to BFN disorders;acupuncture therapy may modulate the topological properties of the BFNs of PSCI patients.

Novel insights into immune-related genes associated with type 2 diabetes mellitus-related cognitive impairment

BACKGROUND The cognitive impairment in type 2 diabetes mellitus(T2DM)is a multifaceted and advancing state that requires further exploration to fully comprehend.Neu-roinflammation is considered to be one of the main mechanisms and the immune system has played a vital role in the progression of the disease.AIM To identify and validate the immune-related genes in the hippocampus associated with T2DM-related cognitive impairment.METHODS To identify differentially expressed genes(DEGs)between T2DM and controls,we used data from the Gene Expression Omnibus database GSE125387.To identify T2DM module genes,we used Weighted Gene Co-Expression Network Analysis.All the genes were subject to Gene Set Enrichment Analysis.Protein-protein interaction network construction and machine learning were utilized to identify three hub genes.Immune cell infiltration analysis was performed.The three hub genes were validated in GSE152539 via receiver operating characteristic curve analysis.Validation experiments including reverse transcription quantitative real-time PCR,Western blotting and immunohistochemistry were conducted both in vivo and in vitro.To identify potential drugs associated with hub genes,we used the Comparative Toxicogenomics Database(CTD).RESULTS A total of 576 DEGs were identified using GSE125387.By taking the intersection of DEGs,T2DM module genes,and immune-related genes,a total of 59 genes associated with the immune system were identified.Afterward,machine learning was utilized to identify three hub genes(H2-T24,Rac3,and Tfrc).The hub genes were associated with a variety of immune cells.The three hub genes were validated in GSE152539.Validation experiments were conducted at the mRNA and protein levels both in vivo and in vitro,consistent with the bioinformatics analysis.Additionally,11 potential drugs associated with RAC3 and TFRC were identified based on the CTD.CONCLUSION Immune-related genes that differ in expression in the hippocampus are closely linked to microglia.We validated the expression of three hub genes both in vivo and in vitro,consistent with our bioinformatics results.We discovered 11 compounds associated with RAC3 and TFRC.These findings suggest that they are co-regulatory molecules of immunometabolism in diabetic cognitive impairment.

Clinical study of chemotherapy-related cognitive impairment in patients with non-Hodgkin lymphoma

BACKGROUND Chemotherapy for malignant tumors can cause brain changes and cognitive impairment,leading to chemotherapy-induced cognitive impairment(CICI).Current research on CICI has focused on breast cancer and Hodgkin’s lymphoma.Whether patients with non-Hodgkin’s lymphoma(NHL)undergoing chemo-therapy have cognitive impairment has not been fully investigated.therapy have cognitive impairment has not been fully investigated.AIM To investigate whether NHL patients undergoing chemotherapy had cognitive impairments.METHODS The study included 100 NHL patients who were required to complete a compre-hensive psychological scale including the Brief Psychiatric Examination Scale(MMSE)at two time points:before chemotherapy and within 2 wk of two chemo-therapy courses.A language proficiency test(VFT),Symbol Number Pattern Test(SDMT),Clock Drawing Test(CDT),Abbreviated Daily Cognition Scale(ECog-12),Prospective and Retrospective Memory Questionnaire,and Karnofsky Perfor-mance Status were used to assess cognitive changes before and after chemo-therapy.RESULTS The VFT scores for before treatment(BT)and after treatment(AT)groups were 45.20±15.62,and 42.30±17.53,respectively(t-2.16,P<0.05).The CDT scores were 8(3.5-9.25)for BT and 7(2.5-9)for AT groups(Z-2.1,P<0.05).Retrospective memory scores were 13.5(9-17)for BT and 15(13-18)for AT(Z-3.7,P<0.01).The prospective memory scores were 12.63±3.61 for BT and 14.43±4.32 for AT groups(t-4.97,P<0.01).The ECog-12 scores were 1.71(1.25-2.08)for BT and 1.79(1.42-2.08)for AT groups(Z-2.84,P<0.01).The SDMT and MMSE values did not show a significant difference between BT and AT groups.CONCLUSION Compared to the AT group,the BT group showed impaired language,memory,and subjective cognition,but objec-tive cognition and execution were not significantly affected.

Clinical efficacy of Baijin pills in the treatment of generalized tonicclonic seizure epilepsy with cognitive impairment

BACKGROUND The generalized tonic-clonic seizure(GTCS)is the most usual variety of epileptic seizure.It is mainly characterized by strong body muscle rigidity,loss of consciousness,a disorder of plant neurofunction,and significant damage to cognitive function.The effect of antiepileptic drugs on cognition should also be considered.At present,there is no effective treatment for patients with epilepsy,but traditional Chinese medicine has shown a significant effect on chronic disease with fewer harmful side effects and should,therefore,be considered for the therapy means of epilepsy with cognitive dysfunction.AIM To investigate the clinical efficacy of Baijin pills for treating GTCS patients with cognitive impairment.METHODS This prospective study enrolled patients diagnosed with GTCS between January 2020 and December 2023 and separate them into two groups(experimental and control)using random number table method.The control group was treated with sodium valproate,and the experimental group was Baijin pills and sodium valproate for three months.The frequency and duration of each seizure,the Montreal Cognitive Assessment Scale(MoCA),and the Quality of Life Rating Scale(QOLIE-31)were recorded before and after treatment.RESULTS There were 85 patients included(42 in the control group and 43 in the experimental group).After treatment,the seizure frequency in the experimental group was significantly reduced(P<0.05),and seizure duration was shortened(P<0.01).The total MoCA score in the experimental group significantly increased compared to before treatment(P<0.01),and the sub-item scores,except naming and abstract generalization ability,significantly increased(P<0.05),whereas the total MoCA score in the control group significantly decreased after treatment(P<0.05).The QOLIE-31 score of the experimental group increased significantly after treatment compared to before treatment(P<0.01).CONCLUSION Baijin pills have a good clinical effect on epilepsy with cognitive dysfunction.

Research hotspots and trends in transcranial magnetic stimulation for cognitive impairment:A bibliometric analysis from 2014 to 2023

BACKGROUND Cognitive impairment,which manifests as a limited deterioration of specific functions associated with a particular disease,can lead to a general deterioration of the patient’s standard of living.Transcranial magnetic stimulation,a noninvasive neuromodulation technique,is frequently employed to treat cognitive impairment in neuropsychiatric disorders.AIM To analyzed the state of international research on neuromodulation methods for treating cognitive impairment between 2014 and 2023,with the aim of exploring the state of research worldwide and the most recent developments in this particular area.METHODS Articles and reviews pertaining to neuromodulation methods for cognitive impairment were examined using the web of science database between January 2014 and December 2023.Publications,nations,organizations,writers,journals,citations,and keywords data from the identified studies were systematically analyzed using the CiteSpace 6.3.R1 software.RESULTS A total of 2371 documents with 11750 authors and 9461 institutions,with some cooccurrences,were retrieved.The quantity of yearly publications is showing an increasing trend.The United States and China have emerged as important contributors.Among the institutes,Harvard University had the highest number of publications,while Rossi S an author who is frequently cited.Initially,the primary keywords included human motor cortex,placebo-controlled trials,and serotonin reuptake inhibitors.However,the emphasis gradually moved to substance use disorders,supplementary motor areas,neural mechanisms,and exercise.CONCLUSION The use of neuromodulation techniques to treat cognitive impairment has drawn interest from academics all around the world.This study revealed hotspots and new trends in the research of transcranial magnetic stimulation as a cognitive impairment rehabilitation treatment.These findings are hold significant potential to guide further research and thus promote transcranial magnetic stimulation as a treatment method for cognitive impairment.

Exploring the therapeutic potential of Qi Teng Mai Ning recipe in ischemic stroke and vascular cognitive impairment

Background:This study aims to explore the therapeutic effects of the Qi Teng Mai Ning recipe on ischemic stroke and vascular cognitive impairment through its potential to modulate cellular autophagy,with a focus on identifying its active ingredients and their target proteins.Methods:The study began with the identification of active ingredients in the Qi Teng Mai Ning recipe.It proceeded to screen the gene expression omnibus database for ischemic stroke and vascular cognitive impairment-associated differentially expressed mRNAs and to identify cellular autophagy-related proteins via the Human Autophagy Database.These proteins were annotated with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes functions and subjected to molecular docking with the recipe’s core active ingredients.In vitro cell experiments were conducted on hypoxic HT22 cells,involving CCK8 assay,lentiviral transfection to silence autophagy related 9B(ATG9B),immunofluorescence staining,and qPCR validation to investigate the effects of the recipe on autophagy.Results:The analysis identified 104 active ingredients targeting 408 proteins and forming a complex ingredient-target network.Intersecting 55 ischemic stroke-related and 909 vascular cognitive impairment-related differentially expressed mRNAs revealed 14 co-expressed mRNAs.Molecular docking showed quercetin,kaempferol,myrcene,and conferone as key ingredients targeting autophagy-related proteins.Cellular experiments indicated that the recipe significantly enhanced cell viability under hypoxic conditions,reduced apoptosis,and modulated the expression of autophagy-related factors,thereby decreasing apoptosis rates in HT22 cells.Conclusion:The Qi Teng Mai Ning recipe offers protective effects against ischemic stroke and vascular cognitive impairment by modulating autophagy-related proteins.Its efficacy highlights the potential of traditional Chinese medicine in treating these conditions,though further research is needed to fully understand its mechanisms and clinical applications.

Sleep disturbances and psychomotor retardation in the prediction of cognitive impairments in patients with major depressive disorder

BACKGROUND Symptoms of depression and comorbid anxiety are known risk factors for cognitive impairment in major depressive disorder(MDD).Understanding their relationships is crucial for developing targeted interventions to mitigate cognitive impairments in MDD patients.We expect that the severity of sleep disturbances and other depressive symptoms will be positively correlated with the degree of cognitive impairments.We also hypothesize that anxiety symptoms,especially psychic anxiety,is a key factor in predicting cognitive performance in MDD patients and may indirectly contribute to cognitive impairment by affecting sleep disturbances and other potential factors.AIM To determine which dimension of the depressive and anxiety symptoms predicts cognitive impairment during a depressive episode.METHODS A comprehensive neurocognitive test battery assessed executive function,attention,processing speed,and memory in 162 medication-free MDD patients and 142 matched healthy controls.The 24-item Hamilton Depression Rating Scale was used to assess depressive symptoms,and the 14-item Hamilton Anxiety Scale was used to assess anxiety symptoms.Linear regression analyses and mediation analyses were conducted to evaluate the impact of depressive and anxiety symptoms,as well as their interactions,on cognitive impairments.RESULTS Among the depressive symptoms,sleep disturbances were associated with poorer executive function(P=0.004),lower processing speed(P=0.047),and memory impairments(P<0.001),and psychomotor retardation(PR)was associated with lower processing speed in patients with MDD(P=0.019).Notably,PR was found to mediate the impact of sleep disturbances on the processing speed.Regarding anxiety symptoms,psychic anxiety,rather than somatic anxiety,was associated with cognitive impairments in all aspects.Sleep disturbances mediated the effect of psychic anxiety on executive function[β=-0.013,BC CI(-0.027,-0.001)]and memory[β=-0.149,BC CI(-0.237,-0.063)],while PR mediated its effect on processing speed(β=-0.023,BC CI(-0.045,-0.004)].CONCLUSION Sleep disturbances may be a key predictor of poorer executive function,lower processing speed,and memory loss,while PR is crucial for lower processing speed during a depressive episode.Psychic anxiety contributes to all aspects of cognitive impairments,mediated by sleep disturbances and PR.

Relationship between serum neutrophil gelatinase-associated lipocalin levels and cognitive impairment, anxiety, and depressive symptoms in acute ischemic stroke

BACKGROUND Acute ischemic stroke(AIS)is a significant global health issue with increasing incidence owing to aging populations and rising cardiovascular risk factors.In addition to physical impairments,AIS frequently leads to neuropsychiatric co-mplications,such as cognitive impairment,anxiety,and depressive symptoms,which adversely affect patients’quality of life and rehabilitation.Neutrophil ge-latinase-associated lipocalin(NGAL)has emerged as a potential biomarker for various conditions,including AIS.This study investigated the association bet-ween serum NGAL levels at admission and neuropsychiatric complications in patients with AIS.neuropsychiatric complications in patients with AIS.METHODS Between January 2022 and December 2023,150 patients with AIS were enrolled.Serum NGAL levels were measured at admission using an enzyme-linked immu-nosorbent assay.Cognitive function was assessed using the Mini-Mental State Examination,while anxiety and depressive symptoms were evaluated using the Hospital Anxiety and Depression Scale at discharge.The relationship between serum NGAL levels and cognitive impairment,anxiety,and depressive symptoms was analyzed using multivariate logistic regression,adjusted for potential con-founders of age,sex,body mass index,smoking status,hypertension,diabetes mellitus,dyslipidemia,previous stroke,and stroke severity.RESULTS The mean age of the participants was 65.4±10.2 years,and 58%were males.Prevalence rates of cognitive impairment,anxiety,and depressive symptoms at discharge were 34.7%,28.0%,and 32.0%,respectively.Serum NGAL levels were significantly higher in patients with cognitive impairment(median:5.6 ng/mL vs 3.2 ng/mL,P<0.001),anxiety(median:5.1 ng/mL vs 3.5 ng/mL,P=0.002),and depressive symptoms(median:5.4 ng/mL vs 3.3 ng/mL,P<0.001),compared to those without these conditions.Multivariate logistic regression analysis showed that higher serum NGAL levels at admission were independently associated with cognitive impairment[odds ratio(OR)=1.42,95%confidence interval(CI):1.18-1.71,P<0.001],anxiety(OR=1.28,95%CI:1.09-1.51,P=0.003),and depressive symptoms(OR=1.39,95%CI:1.16-1.67,P<0.001)after adjusting for potential confounders.CONCLUSION Elevated serum NGAL levels were independently associated with cognitive impairment,anxiety,and depressive symptoms in patients with AIS;and may function as potential biomarkers for patients at risk.

Cognitive impairment in patients with bipolar disorder alone versus those with bipolar disorder comorbid with borderline personality disorder

BACKGROUND Bipolar disorder(BD)is a severe mental illness.BD often coexists with borderline personality disorders,making the condition more complex.AIM To explore the differences in cognitive impairment between patients with BD and those with BD comorbid with borderline personality disorder.METHODS Eighty patients with BD and comorbid borderline personality disorder and 80 patients with BD alone were included in groups A and B,respectively,and 80 healthy volunteers were included as controls.Cognitive function in each group was evaluated using the Chinese version of the repeatable battery for the assess-ment of neuropsychological status(RBANS),the Stroop color-word test,and the Wechsler intelligence scale-revised(WAIS-RC).RESULTS The indices of the RBANS,Stroop color-word test,and WAIS-RC in groups A and B were significantly lower than those of the control group(P<0.05).Group A had significantly longer Stroop color-word test times for single-character,single-color,double-character,and double-color,lower scores of immediate memory,visual breadth,verbal function dimensions and total score of the RBANS,as well as lower scores of verbal IQ,performance IQ,and overall IQ of the WAIS-RC compared with group B(P<0.05).Compared to group B,group A exhibited significantly longer single-character time,single-color time,double-character time,and double-color time in the Stroop color-word test(P<0.05).CONCLUSION The cognitive function of patients with BD complicated with borderline personality disorder is lower than that of patients with BD.

Estimating High-Order Functional Connectivity Networks for Mild Cognitive Impairment Identification Based on Topological Structure

Functional connectivity networks (FCNs) are important in the diagnosis of neurological diseases and the understanding of brain tissue patterns. Recently, many methods, such as Pearson’s correlation (PC), Sparse representation (SR), and Sparse low-rank representation have been proposed to estimate FCNs. Despite their popularity, they only capture the low-order connections of the brain regions, failing to encode more complex relationships (i.e. , high-order relationships). Although researchers have proposed high-order methods, like PC + PC and SR + SR, aiming to build FCNs that can reflect more real state of the brain. However, such methods only consider the relationships between brain regions during the FCN construction process, neglecting the potential shared topological structure information between FCNs of different subjects. In addition, the low-order relationships are always neglected during the construction of high-order FCNs. To address these issues, in this paper we proposed a novel method, namely Ho-FCNTops, towards estimating high-order FCNs based on brain topological structure. Specifically, inspired by the Group-constrained sparse representation (GSR), we first introduced a prior assumption that all subjects share the same topological structure in the construction of the low-order FCNs. Subsequently, we employed the Correlation-reserved embedding (COPE) to eliminate noise and redundancy from the low-order FCNs. Meanwhile, we retained the original low-order relationships during the embedding process to obtain new node representations. Finally, we utilized the SR method on the obtained new node representations to construct the Ho-FCNTops required for disease identification. To validate the effectiveness of the proposed method, experiments were conducted on 137 subjects from the Alzheimer’s Disease Neuroimaging Initiative (ADNI) database to identify Mild Cognitive Impairment (MCI) patients from the normal controls. The experimental results demonstrate superior performance compared to baseline methods.

β2-Microglobulin exacerbates neuroinflammation,brain damage,and cognitive impairment after stroke in rats

β2-Microglobulin(β2M),a component of the major histocompatibility complex class I molecule,is associated with aging-related cognitive impairment and Alzheimer’s disease.Although upregulation ofβ2M is considered to be highly related to ischemic stroke,the specific role and underlying mechanistic action ofβ2M are poorly understood.In this study,we established a rat model of focal cerebral ischemia by occlusion of the middle cerebral artery.We found thatβ2M levels in the cerebral spinal fluid,serum,and brain tissue were significantly increased in the acute period but gradually decreased during the recovery period.RNA interference was used to inhibitβ2M expression in the acute period of cerebral stroke.Tissue staining with 2,3,5-triphenyltetrazolium chloride and evaluation of cognitive function using the Morris water maze test demonstrated that decreasedβ2M expression in the ischemic penumbra reduced infarct volume and alleviated cognitive deficits,respectively.Notably,glial cell,caspase-1(p20),and Nod-like receptor pyrin domain containing 3(NLRP3)inflammasome activation as well as production of the inflammatory cytokines interleukin-1β,interleukin-6,and tumor necrosis factor-αwere also effectively inhibited byβ2M silencing.These findings suggest thatβ2M participates in brain injury and cognitive impairment in a rat model of ischemic stroke through activation of neuroinflammation associated with the NLRP3 inflammasome.