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Epidemiological surveys show that the incidence of age-related dementia and cognitive impairment is increasing and it has been a heavy burden for society, families, and healthcare systems, making the preservation of cognitive function in an increasingly aging population a major challenge. Exercise is beneficial for brain health, and FDNC5/irisin, a new exercise-induced myokine, is thought to be a beneficial mediator to cognitive function and plays an important role in the crosstalk between skeletal muscle and brain. This review provides a critical assessment of the recent progress in both fundamental and clinical research of FDNC5/irisin in dementia and cognitive impairment-related disorders. Furthermore, we present a novel perspective on the therapeutic effectiveness of FDNC5/irisin in alleviating these conditions.
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BACKGROUND:Stability of the support surface and visual input are important factors affecting static balance,but most of the studies on the balance ability of elderly with mild cognitive impairment have focused on the stable hard support surface,and the control of static balance on the unstable support surface under different visual input conditions is not known. OBJECTIVE:To investigate the static balance ability of the elderly with mild cognitive impairment on soft and hard support surfaces under different visual input conditions. METHODS:Twenty-one elderly people with mild cognitive impairment and nineteen elderly people with normal cognition were selected for the study,and the Kistler three-dimensional dynamometer was used to conduct four tests:standing with two feet on hard support surface with eyes open,standing with two feet on soft support surface with eyes open,standing with two feet on hard support surface with eyes closed,standing with two feet on soft support surface with eyes closed,and standing with two feet on soft support surface with eyes closed,and the duration of each test was 30 seconds.The plantar center of pressure data were collected and compared between the two groups under different visual conditions on the soft and hard support surfaces. RESULTS AND CONCLUSION:(1)Under the condition of visual input,the total excursions(soft support surface:P=0.003),the total excursions-medial-lateral sides(soft support surface:P=0.001,hard support surface:P<0.001)and the 95%confidence ellipse area(soft support surface:P=0.001,hard support surface:P<0.001)of the center of pressure in the elderly with mild cognitive impairment on the soft and hard support surfaces were significantly higher than those of the elderly with normal cognition.(2)In the absence of visual input,the root mean square distance(P=0.014),the root mean square distance-medial-lateral sides(P=0.014),and the 95%confidence ellipse area(P=0.001)of center of pressure in the elderly with mild cognitive impairment on the soft support surfaces were significantly higher than those of the elderly with normal cognition,but there were no significant differences between the groups on the hard support surface(P>0.05).(3)These findings confirm that compared with the elderly with normal cognition who could make full use of visual sensory input to maintain body balance on the soft and hard support surfaces,mild cognitive impairment elderly presented a deficit in balance function.In particular,mild cognitive impairment elderly relied more on ankle proprioception to maintain balance when visual interference was present,suggesting that mild cognitive impairment elderly should focus on strengthening ankle proprioceptive training.
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Objective To investigate the correlation between non-high density lipoprotein cholesterol(non-HDL-C),homocysteine(Hey)levels and cognitive impairment,prognosis in patients with thalamic infarction.Methods Eighty thalamic infarction patients admitted to Puyang People's Hospital from March 2017 to March 2021 were selected as the research sub-jects.According to Montreal cognitive assessment(MoCA)score,the patients were divided into cognitive impairment group(MoCA score＜26,n=35)and cognitive normal group(MoCA score 26-30,n=45).Another 50 healthy individuals who un-derwent physical examinations during the same period were selected as the control group.The serum cholesterol(TC),high-density lipoprotein cholesterol(HDL-C),Hcy levels of all subjects were detected by fully automated biochemical analyzer,and the non-HDL-C levels were calculated.The correlations between non-HDL-C,Hey levels and MoCA scores were analyzed by Pearson correlation analysis,and the diagnostic efficacy of non-HDL-C,Hcy levels for cognitive impairment of patients with tha-lamic infarction was analyzed by receiver operating characteristic curve.According to the modified Rankin scale(mRS)score,the patients with thalamic infarction were divided into good prognosis group(mRS score ≤2,n=50)and poor prognosis group(mRS score 3-6,n=50).The independent risk factors for poor prognosis of patients with thalamic infarction was analyzed by multivariate logistic regression.Results The serum levels of non-HDL-C and Hcy of patients in the cognitive impairment group were significantly higher than those in the cognitive normal group and control group(P＜0.05);there was no significant difference in the serum non-HDL-C,Hcy levels of subjects between the control group and the cognitive normal group(P＞0.05).The non-HDL-C,Hcy levels were negatively correlated with MoCA scores in thalamic infarction patients(P＜0.05).The area under the curve(AUC)of Hcy level in the diagnosis of cognitive impairment was 0.709,the sensitivity was 0.724 and the specificity was 0.630;the AUC of non-HDL-C level in the diagnosis of cognitive impairment was 0.738,the sensitivity was 0.701 and the specificity was 0.870;the AUC of Hey combined with non-HDL-C in the diagnosis of cognitive impairment was 0.769,the sensitivity was 0.758 and the specificity was 0.889.The diagnostic efficacy of Hey combined with non-HDL-C for cognitive impairment was superior to that of non-HDL-C or Hey alone.Atrial fibrillation,elevated levels of non-HDL-C,Hcy and NIHSS score were independent risk factors for poor prognosis of patients with thalamic infarction(P＜0.05).Conclusion The levels of non-HDL-C and Hey are positively correlated with cognitive impairment in patients with thalamic infarction.The levels of non-HDL-C and Hey can be used to diagnose cognitive impairmnent in patients with thalamic infarction,and the combined detection has a better diagnostic effect.Atrial fibrillation,elevated levels of non-HDL-C,Hcy and NIHSS score are independent risk factors for poor prognosis in patients with thalamic infarction.
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The hippocampus and its circuits play crucial roles in human learning, memory, and emotional regulation. Whether it is vascular cognitive impairment (VCI) or Alzheimer's disease (AD), damage to the hippocampus is a prominent pathological feature. This review summarizes the recent advance in multimodal magnetic resonance imaging in anatomy, blood supply, structure and function of the hippocampus and the circuits related to VCI and AD in recent years, aiming to provide help in early recognizing and differentially diagnosing VCI and AD.
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Cognitive impairment is a common clinical complication in type 2 diabetes (T2DM). T2DM-related cognitive impairment has complex and multifactorial pathogenesis. Cerebral microvascular dysfunction is an important pathological change in patients with T2DM and pre-T2DM, and it can induce blood-brain barrier injury and impaired blood perfusion regulation, with disturbed neurovascular coupling and cerebral autoregulation, leading cognitive impairment. This article reviews the epidemiology and pathophysiological mechanisms related to T2DM cerebral microvascular lesions and cognitive impairment, and how to monitor changes of cerebral microvascular structure and function so as to provide new approach for diagnosis and treatment of T2DM-related cognitive impairment.
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In recent years, post-stroke depression (PSD) and post-stroke cognitive impairment (PSCI) have gradually attracted the attention of scholars as common stroke-related non-motor symptoms. As an emerging non-invasive neuroimaging tool, functional near-infrared spectroscopy (fNIRS) has been widely used in the study of neurological diseases, which can evaluate the functional status and recovery of these patients by monitoring changes in cerebral blood circulation and oxygenation signals; fNIRS is now being increasingly used in PSD and PSCI studies. This review mainly focuses on the research progress of fNIRS in identifying PSD and PSCI, exploring their neural mechanisms, and evaluating treatment effects, as well as advantages, disadvantages and future development prospects of fNIRS in clinical application, so as to provide some references for research on rehabilitation of affective disorders and cognitive disorders in stroke patients.
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Objective To investigate the prevalence and risk factors of cognitive impairment in the nursing home population in Changning District, Shanghai. Methods In this study, random cluster sampling method was used to select 570 elderly people from 5 nursing homes in Changning District. Multivariate logistic regression was used to analyze the risk factors influencing cognitive function. Results The total prevalence of cognitive impairment in Changning nursing home population was 22.5%. The prevalence rates of ≤80 and >80 age groups were 16.8% and 23.9%, respectively, and the prevalence rates of men and women were 19.2% and 23.9%, respectively. Multivariate analysis showed that age ≥ 80 years old (OR=1.839, 95% CI: 1.045~3.235), no habit of reading book or newspaper (OR=2.087, 95%CI: 1.282~3.398), limitation of daily activity ability (OR=1.577, 95% CI: 1.023~2.431), and having depressive symptoms (OR=2.809, 95% CI: 1.840~4.288) were all influencing factors for cognitive impairment. Conclusion More than one fifth of elderly people in nursing homes in Changning District have symptoms of cognitive impairment. It is necessary to carry out routine cognitive assessment and appropriate cognitive intervention for the nursing home population to reduce the health and economic losses caused by cognitive impairment.
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Objective To investigate the relationship between serum levels of thrombospondin-1(TSP-1)and thioredoxin 1(Trx1)and cognitive impairment after cerebral infarction.Methods A total of 155 patients with cerebral infarction(study group)admitted to a hospital from June 2021 to December 2022 were selected as the study objects,and were divided into normal cognitive function group(97 cases)and cognitive impair-ment group(58 cases)according to the scores of the montreal cognitive assessment scale(MoCA)after the pa-tients'condition stabilized.Another 150 healthy subjects in the same period were selected as the control group.Serum TSP-1 and Trx1 levels were detected by enzyme-linked immunosorbent assay(ELISA).Spearman analysis was used to analyze the correlation between serum TSP-1 and Trx1 levels and national in-stitutes of health stroke scale(NIHSS)score and MoCA score in patients with cerebral infarction.The predic-tive value of serum TSP-1 and Trx1 levels in cognitive impairment after cerebral infarction was analyzed by receiver operating characteristic(ROC)curve.Results Compared with the control group,the levels of serum TSP-1 and Trx1 in the study group were significantly higher,and the differences were statistically significant(P＜0.05).Compared with the normal cognitive function group,the levels of serum TSP-1 and Trx1 in the cognitive impairment group were significantly higher,and the difference was statistically significant(P＜0.05).Compared with the normal cognitive function group,the NIHSS score of the cognitive impairment group was significantly higher,and the MoCA score was significantly lower,with statistical significance(P＜0.05).Spearman correlation analysis showed that serum TSP-1 and Trx1 levels were positively correlated with NIHSS score(P＜0.05),and negatively correlated with MoCA score(P＜0.05)in patients with cerebral infarction.ROC curve analysis showed that the area under the curve(AUC)of serum TSP-1 to predict cogni-tive impairment after cerebral infarction was 0.834,and the sensitivity and specificity were 72.41％and 86.60％,respectively.Serum Trx1 level alone predicted the AUC of cognitive impairment after cerebral infarc-tion was 0.851,and its sensitivity and specificity were 70.69％and 85.57％,respectively.The AUC of the combined prediction of cognitive impairment after cerebral infarction was 0.926,which was significantly greater than that of serum TSP-1 alone(Z=3.050,P=0.002)and Trx1 alone(Z=2.846,P=0.004).Conclusion Serum TSP-1 and Trx1 levels are elevated in patients with cerebral infarction,and their levels have certain predictive value for cognitive impairment after cerebral infarction.
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Objective To summarize the acupoints and parameters commonly used in the treatment of vascular cognitive impairment(VCI)by electro-acupuncture(EA)through the visual data mining technique to provide a reference basis for clinical treatment.Methods The clinical studies of EA on the treatment of VCI were searched in CNKI,Wanfang,VIP,CBM,PubMed,Embase,Cochrane Library,web of science and other major databases.The literature is managed by Note Express and the database is established by Excel.The frequency of selected acupoints,frequency,meridian tropism,parameter frequency and frequency of used acupoints are counted.Factor analysis is carried out by SPSS 21.0 software.SPSS Modeler 18.3 software is used to analyze association rules and co-occurrence network,and the analysis results are visualized by Cytoscape 3.9.1 software.Results Finally,155 papers were included,containing 155 acupoint prescriptions and 157 parameter prescriptions.Acupoint prescriptions involved 100 acupoints with a total frequency of 856 times;parameter prescriptions involved 33 parameters with a total frequency of 788 times.Conclusion At present,there is a big difference between the clinical studies,and there is no recognized acupoint and parameter for EA treatment of VCI.By further summarizing the law of EA acupuncture point and parameter,the study has sorted out the law of commonly used acupoints,meridian tropism,compounding and parameter selection for EA treatment of VCI.It was concluded that the selection of acupoints mainly started from the three aspects of deficiency,phlegm and stasis,focusing on the combination of local and distal selection of acupoints,through the identification of internal organs and meridians,to achieve the simultaneous regulation of the heart,spleen and kidney,and to take into account both the symptoms and the root cause,and to play the roles of opening the orifices to wake up mind,calming mind and benefiting intellect,strengthening the spleen and tonifying the kidneys,and invigorating blood circulation to remove stasis.The parameters of EA are recommended to be sparse and dense wave,low frequency,as tolerated by the patient,30 minutes/times,1 time/day,5 times/week as the main combinations,which can provide a certain reference basis for clinical decision-making.
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The incidence of dementia increased significantly in the context of an aging population,imposing a significant burden on the economy and society.Therefore,finding the specific mechanism underlying cognitive decline in aging is of paramount significance.Recently,the role of microglia in the initiation and progression of cognitive decline in aging has become a research hotspot.Microglia,the resident immune cells of CNS,play important roles in immunosurveillance,synaptic pruning,damage repair and maintaining immune homeostasis.However,microglia undergo a variety of changes in cell morphology,gene expression and functional status with aging.This article review the impact of normal aging on microglia and the role of microglia in the pathogenesis of cognitive decline in aging,to provide a novel strategy for slowing or preventing the onset of dementia.
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Metabolic disorders,characterized by a complex pathogenesis,are experiencing a rising prevalence globally and a trend toward younger populations,making them a significant public health concern.Olfaction,a crucial sensory function,plays a pivotal role in an individual's nutrition and quality of life.There is a bidirectional relationship between obesity and olfactory function.Olfaction is influenced by nutritional status;simultaneously,it plays a vital role in the regulation of food intake,energy expenditure,and lipid metabolism.Moreover,individuals with metabolic disorders such as type 2 diabetes and obstructive sleep apnea syndrome exhibit olfactory dysfunction.Mechanisms underlying olfactory changes in metabolic disorders involve alterations in metabolic states such as hyperglycemia and insulin resistance.These changes can lead to dysregulation of peptide hormones,adipocyte factors,and neurotransmitters,which may potentially act as mediators between metabolic disorders and olfactory dysfunction.Vascular and neural alterations resulting from metabolic disorders can directly damage olfactory nerves or induce abnormal neural transmission.Furthermore,dysbiosis in the gut microbiota induced by metabolic disorders is a potential mechanism for olfactory dysfunction.Cognitive dysfunction is a significant complication of metabolic disorders.Olfactory dysfunction can serve as an early clinical manifestation of cognitive impairment and contributes to early identification and assessment of diseases.This article reviews recent researches on the relationship between metabolic diseases and olfactory changes and the potential mechanisms.
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Objective·To analyze and explore the influencing factors that lead to cognitive deterioration in individuals with elevated fasting blood glucose(FBG)and the metabolic clues associated with changes in the risk of cognitive deterioration.Methods·Data from the Alzheimer's Disease Neuroimaging Initiative(ADNI)database were downloaded,and the samples with FBG and follow-up data were selected from the database.Clinical information,including age,gender,body mass index,education years,apolipoprotein E4(APOE4)genotype and race,and corresponding metabolic indicator data,including amino acids,fatty acids,proteins and others were obtained.Based on the FBG levels and diagnosis of cognitive impairment stages in Alzheimer's disease,the subjects were categorized into four groups:normal FBG without/with cognitive deterioration,and elevated FBG without/with cognitive deterioration.The univariate analysis method,the Cox proportional hazards model,orthogonal projections to latent structures discriminant analysis(OPLSDA),and Spearman correlation analysis were employed for data analysis.Results·A total of 1 317 subjects were included,among which 1 153 had normal FBG level(>3.9 mmol/L and<6.1 mmol/L)and 164 had elevated FBG level(≥6.1 mmol/L).In the normal FBG group,275 subjects showed cognitive deterioration,while in the elevated FBG group,53 subjects showed cognitive deterioration.Univariate analysis revealed significant differences in gender and race between the normal FBG and elevated FBG group,and significant differences in age,gender,and APOE4 genotype between the groups with and without cognitive deterioration(all P<0.05).Cox regression analysis indicated that primary influencing factors for cognitive deterioration were APOE4 positivity,elevated FBG,and increasing age in order(HR=2.22,HR=1.38,HR=1.02;all P<0.05).In the analysis of baseline metabolic indicators in the groups without and with cognitive deterioration,as well as metabolic indicators before and after cognitive deterioration at different FBG levels,the results of the analysis of variance revealed that in the cognitively deteriorated population,the ratio of phospholipids carried by high-density lipoproteins(HDL)to total lipids was significantly higher;low-density lipoprotein(LDL)particle concentration and the lipids carried by LDL were significantly higher after cognitive deterioration.Correlation analysis showed that valine and leucine were significantly correlated not only with FBG level but also with phosphorylated tau(pTau)level in the plasma in the cognitively deteriorated population.Cholesterol and the ratio of phospholipids to total lipids carried by HDL were significantly correlated with pTau levels in cerebrospinal fluid(CSF).Conclusion·Compared to the individuals with normal FBG level,those with high FBG level have a significantly higher risk of cognitive deterioration.Additionally,different metabolic indicators show significant differences between the groups without and with cognitive deterioration,as well as metabolic indicators before and after cognitive deterioration at different FBG levels.Overall,LDL and its lipid content,and HDL-carried phospholipids show an increasing trend during cognitive deterioration,and the branched-chain amino acids valine and leucine are significantly correlated with pTau levels in CSF and plasma,suggesting that these metabolic markers may play an important role in cognitive deterioration.
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Objective To study the effective fraction and mechanism of Lycium barbarum leaves on improving learning and memory ability of subacute aging mice induced by D-galactose injection.Methods The model of subacute aging mice was developed by injection of D-galactose subcutaneously,and different extracts of Lycium barbarum leaves were prepared.The effects of the extracts of Lycium barbarum leaves on the learning and memory ability of model mice were evaluated by Y maze experiment and new object recognition experiment.The pathomorphological changes of hippocampus in mice were observed by hematoxylin-eosin and Nissl staining.The levels of brain-derived neurotrophic factor(BDNF),nerve growth factor(NGF),glial cell line-derived neurotrophic factor(GDNF),tumor necrosis factor-α(TNF-α),interleukin-1β(IL-1β),interferon-γ(IFN-γ)and interleukin-10(IL-10)in hippocampus of mice were detected by enzyme-linked immunosorbent assay.The activities of superoxide dismutase(SOD)and the contents of glutathione(GSH)and malondialdehyde(MDA)in hippocampus of mice were detected by related assay kits.Detection of apoptosis in the hippocampal region of mouse brain tissue using the TUNEL method.Western blotting analysis was used to detect the expressions of antioxidant proteins Nrf2,HO-1 and apoptotic proteins Caspase-3,Caspase-9 in hippocampus of mice.Results The water extraction part and 80%alcohol precipitation supernatant part of Lycium barbarum leaves significantly improved the learning and memory ability of model mice,improved the pathological damage of hippocampus in mice,increased the number of Nissl bodies in hippocampus of mice,and promoted the expression of neurotrophic factors BDNF,NGF and GDNF,and promoted the expression of neurotrophic factors BDNF,NGF and GDNF.Pro-inflammatory factors TNF-α,IL-1β and IFN-γ expression declines while anti-inflammatory factor IL-10 expression rises.The activity of SOD and the expression of GSH were increased,and the expression of MDA was decreased.Increase the expression of Nrf2 and HO-1 antioxidant proteins;reduce the expression of Caspase-3 and Caspase-9 apoptosis pathway proteins.Inhibition of apoptosis in the hippocampal region of mouse brain tissue using a model.Conclusion The water extracts and 80%alcohol precipitation supernatant extracts of Lycium barbarum leaves are the effective fractions of Lycium barbarum leaves to improve the learning and memory ability of D-galactose-induced subacute aging mice,and its mechanism might be related to the inhibition of neuronal apoptosis caused by oxidative stress and inflammation.
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Objective This study aimed to explore the differences in global and local brain network topological properties between deficient pattern(DP)and excess pattern(EP)of mild vascular cognitive impairment caused by subcortical small vessel disease based on graph theory network.Methods Patients were recruited prospectively and were classified with DP and EP subtype.The global small-world topological attributes and local nodes were calculated for the comparison of DP,EP,and healthy controls(CN)using the GRETNA platform.Results The three groups all had small-world attributes,but only the patients in EP had a significantly lower small world attribute δ in the range of 0.05-0.26 than the control group(P<0.05).The node efficiency and node strength indicators of multiple brain region were able to significantly distinguish the DP group from the EP group.However,there was no positive brain region in the node efficiency of the DP patients(P>0.05),and only a few brain regions showed increased node strength efficiency(P<0.05).Conclusion The results indicate that the syndrome of DP and EP have significantly different neuroimaging phenotypes,providing a basis for further research of biological classification based on Chinese Medicine syndromes.
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Objective To investigate the correlation between serum levels of prostaglandin-endoperoxide synthase 2(PTGS2),chitinase-3-like protein 1(CHI3L1)and cognitive impairment caused by cerebrovascular disease.Methods From October 2020 to October 2022,96 inpatients with cerebrovascular diseases admitted to the Third People's Hospital of Chengdu were regarded as the study subjects.The basic clinical data of the patients were recorded,the serum levels of PTGS2 and CHI3L1 were detected by enzyme-linked immunosorbent assay,and these patients were grouped into normal group(n=60)and impaired group(n=36)based on the presence or absence of cognitive impairment.The correlation between serum PTGS2 and CHI3L1 levels and fasting blood glucose(FBG)and homocysteine(Hcy)was analyzed by Pearson method.Logistic regression model was used to determine whether serum PTGS2 and CHI3L1 were independent risk factors for predicting cognitive impairment.Receiver operating characteristic(ROC)curve was drawn,and the predictive value of CHI3L1 and serum PTGS2 expression level in cognitive impairment in patients with cerebrovascular disease was analyzed according to the area under the curve(AUC).Results Compared with the normal group,the levels of serum PTGS2(29.30±9.46 pg/ml vs 17.86±5.40 pg/ml)and CHI3L1(13.04±4.06 pg/ml vs 7.51±2.66 pg/ml)in the disorder group were increased,and the differences were statistically significant(t=7.553,8.065,all P＜0.05).Multivariate Logistic regression analysis showed that FBG(OR=3.612,95%CI:2.324～5.614),Hcy(OR=2.584,95%CI:1.351～4.944),PTGS2(OR=1.964,95%CI:1.194～3.231)and CHI3L1(OR= 1.556,95%CI:1.023～2.367)were independent risk factors of cognitive impairment(all P＜0.05).PTGS2 was positively correlated with FBG and Hcy(r=0.368,0.551,all P＜0.05),and CHI3L1 was positively correlated with FBG and Hcy(r=0.510,0.376,all P＜0.05).The ROC curve showed that the area under curve(AUC)of PTGS2 and CHI3L1 in predicting cognitive impairment was 0.819 and 0.829,respectively.The AUC of the combined prediction of cognitive impairment was 0.902,which was obviously higher than that of the independent prediction of the two(Z =2.089,2.293;P=0.037,0.021),with sensitivity and specificity of 77.78%and 98.33%,respectively.Conclusion PTGS2 and CHI3L1 were highly expressed in the serum of patients with cognitive impairment of cerebrovascular disease,indicating that both were related to cognitive impairment of patients with cerebrovascular disease.
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Post-stroke cognitive impairment(PSCI),refers to a range of clinical syndromes of cognitive impairment caused by stroke.Although its specific pathogenesis is still unclear,many studies have confirmed that endoplasmic reticulum-mitochondria interaction has become a key hub for intracellular signal transduction and substance metabolism,and its regulation of various biological processes,such as Ca2+ balance,lipid metabolism,mitochondrial dynamics,autophagy,and neuroinflammation,is closely related to the development of PSCI.There-fore,in this paper,we will review the various functions of endoplasmic reticulum-mitochondrial interactions and explore their specific roles in PSCI,in order to discover new therapeutic targets and provide new theoretical basis and references for the development of PSCI-targeted drugs in the future.
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BACKGROUND:Patients with Alzheimer's disease mainly show cognitive and memory dysfunctions.Aerobic exercise can inhibit endoplasmic reticulum stress and improve cognitive function of the patients.However,whether aerobic exercise can inhibit endoplasmic reticulum stress dependent neuroinflammation is still unclear. OBJECTIVE:To explore the effect of aerobic exercise on neuroinflammation and cognitive impairment in a mouse model of Alzheimer's disease. METHODS:Fifty C57BL/6J wild-type male mouse mice were randomly divided into wild-type control and wild-type exercise groups,while another 50 APP/PS1 double transgenic male mice were randomly divided into Alzheimer's disease group and Alzheimer's disease exercise group,with 25 mice in each group.Mice in the wild-type exercise and Alzheimer's disease exercise groups received aerobic exercise training(treadmill training,45 min/d,12 m/min,5 d/wk,8 weeks in total).Mice in the wild-type control and Alzheimer's disease groups were placed on the quiet running platform.Morris water maze test was used to detect the cognitive ability of mice.Hematoxylin-eosin staining and Nissl staining were used to detect hippocampal tissue damage in mice.Thioflavin-S staining was used to detect β-amyloid content in hippocampal tissue.Immunohistochemistry was used to detect β-amyloid and p-Tau levels in hippocampal tissue.Immunofluorescence staining was used to detect the number of positive cells for neuroinflammation-related factors in hippocampal tissue.Western blot was used to detect p-IRE1,IRE1,p-PERK,PERK,ATF6,GRP78,Bip,Caspase-12,Iba-1,and GFAP protein levels. RESULTS AND CONCLUSION:Compared with the wild-type control group,escape latency was increased,the number of times they reached the previous platform and the time they stayed on the platform were decreased,β-amyloid and Tau levels,p-IRE1/IRE1,p-PERK/PERK,ATF6,GRP78,Bip,Caspase-12,Iba-1,and GFAP protein levels,Iba-1+,Iba-1+TNF-α+,Iba-1+IL-6+,Iba-1+IL-1β+,GFAP+,GFAP+TNF-α+,GFAP+IL-6+,GFAP+IL-1β+ positive cells in hippocampal tissue were increased,and Iba-1+IL-4+,Iba-1+IL-10+,GFAP+IL-4+,GFAP+IL-10+ positive cells were decreased in the Alzheimer's disease group(P＜0.05).Compared with Alzheimer's disease group,escape latency was decreased,the number of times they reached the previous platform and the time they stayed on the platform were increased,β-amyloid and Tau levels,p-IRE1/IRE1,p-PERK/PERK,ATF6,GRP78,Bip,Caspase-12,Iba-1,GFAP protein levels,Iba-1+,Iba-1+TNF-α+,Iba-1+IL-6+,Iba-1+IL-1β+,GFAP+,GFAP+TNF-α+,GFAP+IL-6+,and GFAP+IL-1β+ positive cells in hippocampal tissue were decreased,and Iba-1+IL-4+,Iba-1+IL-10+,GFAP+IL-4+,GFAP+IL-10+ positive cells were increased in the Alzheimer's disease exercise group(P＜0.05).To conclude,aerobic exercise can reduce cognitive impairment in Alzheimer's disease mice by inhibiting endoplasmic reticulum stress and neuroinflammation in hippocampal tissue.
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BACKGROUND:Current studies have shown that electronic moxibustion can improve memory function in amnestic mild cognitive impairment;however,its mechanism of action needs to be further investigated.The atrophy of hippocampal volume and impairment of functional connectivity are important imaging markers of amnestic mild cognitive impairment.Whether electronic moxibustion can regulate the volume of hippocampal subregion of partients with amnestic mild cognitive impairment is worth studying. OBJECTIVE:To observe the effect of electronic moxibustion on the volume of hippocampal subregions in patients with amnestic mild cognitive impairment. METHODS:Forty patients with amnestic mild cognitive impairment were recruited from April 1,2018 to January 31,2019 at the community service centers around the Second Affiliated Hospital of Shenzhen University(Baoan Hospital of Southern Medical University),Shenzhen,China.They were randomly divided into treatment group(n=20)and control group(n=20).The treatment group was treated with electronic moxibustion of regulating the mind and benefiting the intelligence,while the control group was treated with placebo moxibustion.Moxibustion was given at 45 oC,20 minutes each time,once a day,5 times a week,for 8 weeks in total.Memory evaluation using Rivermead behavioral memory test and magnetic resonance imaging scanning for detecting the hippocampal subregion volume were performed for each patient before and after treatment,and cognitive function of each patient was assessed using Montreal cognitive assessment and mini-mental state examination.Correlation of hippocampal subregion volumes with scores on each scale was analyzed. RESULTS AND CONCLUSION:After treatment,the volumes of the left parasubiculum and the left hippocampal-amygdala migrating area increased in the treatment group but decreased in the control group,and there was a significant difference between the two groups(P＜0.05).Compared with the pre-treatment data,the Rivermead behavioral memory test,Montreal cognitive assessment,and mini-mental state examination scores were significantly higher in the treatment group after treatment(P＜0.05),while there was no significant change in the three scale scores in the control group after treatment(P＞0.05).The three scale scores were higher in the treatment group than in the control group after treatment(P＜0.05).Pearson correlation analysis showed that the changes in the volume of the left parasubiculum was significantly and positively correlated with the Rivermead behavioral memory test scale score in the treatment group(r=0.418,P=0.014).To conclude,electronic moxibustion can improve memory in patients with amnestic mild cognitive impairment,and the mechanism may be the regulation of structural plasticity in hippocampal subregions.
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Objective:To explore the diagnostic value of auditory verbal learning test-Huashan version(AVLT-H)of memo-ry impairment in patients with subjective cognitive decline(SCD)and mild cognitive impairment(MCI). Method:According to the inclusion criteria,the recruited elderly were screened and divided into three groups:normal cognition(NC),SCD and MCI group.The neuropsychological tests including mini-mental state exami-nation(MMSE),Montreal cognitive assessment-Beijing version(MOCA-BJ)and AVLT-H were completed af-ter inclusion.The scores of MMSE,MoCA-B,AVLT-N2,N3,N4,N5,N6 and N7 were recorded and analyzed. Result:There were significant differences in the scores of MMSE,MoCA and AVLT-H among the three groups(P＜0.0167).The adjusted Bonferroni test was used to detect significant differences in post-hoc comparison.There were significant difference in MMSE and MoCA scores between SCD and NC(P＜0.001)and between MCI and NC(P＜0.001).However,no significant difference between MCI and SCD was found.There were sig-nificant difference in N1 score between MCI and NC(P=0.013)and between MCI and SCD(P=0.001),but there was no significant difference between SCD and NC.There were significant difference in AVLT-N2,N3,N4,N5,N6 and N7 scores between MCI and NC(P＜0.001)and between MCI and SCD(P＜0.001),but there was no significant difference between SCD and NC.The area under the curve of MMSE,MoCA and AVLT-H scores were examined using NC group and SCD group as state variables,respectively.For differentiat-ing MCI and SCD,eAVLT-H scores had a larger area under the curve with higher sensitivity and specificity,N1 and N7 had the highest sensitivity.For distinguishing MCI from NC,AVLT-H and MoCA scores had a larger area under the curve with higher sensitivity and specificity,N4,N6 and N7 had the highest sensitivity. Conclusion:AVLT-H,combined with MMSE and MoCA,can improve the defining diagnostic sensitivity of MCI and SCD from normal cognition.It is recommended to routinely use AVLT-H in a routine assessment for MCI and SCD patients.
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Mild cognitive impairment (MCI) is an unstable cognitive impairment state between normal aging and Alzheimer's disease (AD). The symptoms of MCI are mild and it has four different types of outcomes: reversing normal, maintaining stability, progression and death. However, 2/3 of MCI patients may still progress to dementia. Therefore, early identification of stable MCI (sMCI) and progressive MCI (pMCI) is beneficial for timely intervention, and delaying the progression of MCI, then improving patients' quality of life. Structural magnetic resonance imaging (sMRI) can predict dementia related neurodegeneration and cognitive decline. A large number of studies have found that, in addition to abnormalities in clinical scales, there are significant changes in sMRI during the progression of sMCI to pMCI, mainly including differences in cortical thickness and brain atrophy, hippocampal volume, and structural brain network connectivity. Especially, machine learning methods such as big data based neural convolutional networks are helpful in early prediction of sMCI and pMCI. These studies contribute to the discovery of early imaging markers for the conversion of sMCI to pMCI.