Mild cognitive impairment is a transitional state between normal aging and dementia, which is the best intervention window to delay cognitive decline.As one of the adjustable risk factors affecting cognitive function, perceived stress significantly increases the risk of cognitive impairment by causing hypothalamic-pituitary-adrenal axis dysfunction and psychological disorders.Therefore, perceived stress management will become a new hot spot in the research and practice of non-drug intervention techniques for cognitive impairment.This paper reviews the current situation of perceived stress in MCI population, the relationship between perceived stress and cognitive function, and the evaluation techniques of MCI individual perceived stress.Further more, this paper summarizes the relevant influencing factors of perceived stress based on stress attribution model, and comments on the action mechanism and practical enlightenment of perceived stress intervention program on cognitive function management, in order to provide theoretical reference for cognitive function management of MCI population.

Objective:To explore the action path and the potential mediating effects of depression and physical diseases on the influencing factors of mild cognitive impairment(MCI) in community, and provide the theoretical basis for the construction of the strategy of cognitive regulation.Methods:A convenient sample survey was conducted on 252 mild cognitive impairment patients in the community undergoing screening using the general information questionnaire, Montreal cognitive assessment scale(MoCA) and geriatric depression scale(GDS-15)from January 2018 to June 2019. SPSS 22.0 and AMOS 22.0 softwares were used to conduct descriptive analysis, correlation analysis, structural equation model and confirmatory factor analysis.Results:The score of MoCA was 19.66±3.90 for all MCI patients. There were significant correlations among age, education, social frequency, physical exercise frequency and depression degree, the number of physical disease and MoCA( r=-0.440-0.487, P<0.01). The structural equation model fits well(χ 2/ df=2.476, TLI=0.885, CFI=0.916, GFI=0.919, AGFI=0.871, RMSEA=0.077). Mediation modeling analysis showed that age, education, social frequency physical exereise frequency had a direct effect on cognitive function(effect value was -0.183, 0.458, 0.237, 0.174, P<0.01). There were partly mediating effect of the number of physical disease between age, education, physical exercise frequency and cognitive function(effect value was -0.106, 0.078, 0.075, P<0.01), and there were partly mediating effect of depression degree between age, social frequency, physical exercise frequency and cognitive function(effect value was -0.075, 0.080, 0.050, P<0.01), and there were chain mediating effect of the number of physical disease-depression degree between age, education, physical exercise(effect value was -0.028, 0.031, 0.019, P<0.01). Conclusion:The cognitive management of MCI among community should focus on the elderly, low education level groups.In the implementation of exercise intervention to improve cognitive function of health management strategy, while to strengthen the effective management of physical diseases and negative emotion evaluation and dredging, to increase the effect of exercise intervention on cognitive function improvement.

Mild cognitive impairment is the intermediate state between normal aging and dementia, which is considered as the best intervention window period to delay or reverse cognitive impairment. This pa-per summarizes the cognitive training techniques and challenges in Community-dwelling Elderly with mild cognitive impairment,which includes strategy-based cognitive train,process-based cognitive train,multi-mode comprehensive train,computer-aided cognitive train,and in order to provide theoretical support for the prac-tice of cognitive training.

Objective:To evaluate the direct and sustained effects of multitask-process cognitive training program on cognitive function in the community elderly with mild cognitive impairment(MCI).Methods:Ninety-two participants with MCI who met the inclusion criteria were randomly selected from Huzhou community of Zhejiang province.According to the allocation ratio of 1∶1, the MCI participants were randomly divided into the cognitive training group and the control group, with 46 cases in each group.The participants in control group were received a cognitive function-health education program, and the participants in cognitive training group received an additional 10 weeks of multitask-process cognitive training.Respectively in three-time points of at baseline, after 10 weeks of training, and a 3-month follow-up to evaluate all participants with MCI executive function tested by trail making test A-B and Stroop color-word test, overall cognitive function tested by MoCA scale.Repeated measure ANOVA was used to compare the between-group variation, time effect and interaction effect of two groups at 3 time points.Results:The MoCA score of intervention group at T0, T1, T2 were 19.09±1.98, 21.09±1.41, 21.11±1.27 respectively, and the MoCA score of the control group were 18.24±2.22, 18.57±1.86, 18.07±1.90 respectively.Compared with the control group, the score of MoCA in the intervention group was significantly improved at T1 and T2 ( P< 0.05). Compared with control group, the Trail making test A-B, Stroop color-word interference test of intervention group were improved at T1, T2 ( P<0.05). Repeated measurement ANOVA shows that there were significant differences in Trail making test A-B, Stroop color-word interference test and MoCA between the two groups in terms of between-group effect, time effect and group-time interaction effect ( F=9.245~196.457, P<0.05). Simple effects analysis shows that compared with the control group, the multitask-process cognitive training had a positive direct effect on the Trail making test A-B, Stroop color-word interference test and MoCA, and these improvements maintained until the end of a 3-month follow-up ( F=2.757~201.829, P<0.05). During the research period, the compliance rate of the cognitive training group was 87.4%, and no adverse events occurred. Conclusion:The multitask-process cognitive training program positively promote the cognitive function of participants with MCI and provide a set of standardized and procedural nursing intervention program for the cognitive management of community participants with MCI.

OBJECTIVE：  To improve the method for the content determination of astragaloside Ⅳ in Xiangju granules， and to evaluate the consistency of relevant preparations with the components of original formulation， so as to provide evidence for the modern preparation of TCM compound. METHODS： HPLC-ELSD method was established for the content determination of astragaloside Ⅳ in Xiangju granules， and compared with original standard TLC scanning. Using critrinin， ferulic acid， calycosin glucoside， liquiritin， glycyrrhizic acid， rosmarinic acid， buddleoside and magnoline as control， HPLC method was used to determine the release components of self-made Xiangju granules， Xiangju capsules， Xiangju tablets in water. Fingerprint characteristics chromatogram of different Xiangju preparations and original formulation extract were compared by using Similarity Evaluation System for Chromatographic Fingerprint of TCM （2012 version）. At the same time， HPLC-ELSD method was used to determine and compare the release rate of astragaloside Ⅳ from different Xiangju preparations and original formulation extract in water. RESULTS： Established HPLC-ELSD method was specific. The linear range of astragaloside Ⅳ was 0.13-2.10 mg/mL. RSDs of precision， repeatability and stability tests were all lower than 3％ （n＝6）， and average recovery was 97.66％ （RSD＝1.01％，n＝6）. Average content of astragaloside Ⅳ by this method was 0.398 mg/g （RSD＝1.01％， n＝3）， which had better reproducibility than TLC scanning. The comparative results of characteristic fingerprints showed that the similarity among Xiangju granules， Xiangju capsules， Xiangju tablets and the original formulation dry extract powder was more than 0.850. Average release rates of astragaloside Ⅳ in Xiangju granules， Xiangju capsules， Xiangju tablets and the original formulation extract were 0.392， 0.358， 0.349， 0.389 mg， respectively. Compared with original formulation extract， there was no statistical significance in release rate of astragaloside Ⅳ in Xiangju granules （P＞0.05）， while there was statistical significance in Xiangju capsules and Xiangju tablets （P＜0.01）. CONCLU- SIONS： Established HPLC-ELSD method is accurate and feasible， and is suitable for the content determination of astragaloside Ⅳ in Xiangju granules. The main components of Xiangju granules are consistent with original formulation.

Objective:To investigate the value of artificial intelligence (AI) cytomorphologic analysis system in the cytomorphological diagnosis and therapeutic evaluation of acute myeloid leukemia (AML).Methods:Bone marrow smear samples were collected from 150 patients with newly diagnosed and treated acute myeloid leukemia who were inpatients and outpatients at the Department of Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from June 1, 2021 to July 31, 2022 for retrospective analysis. Among them, there were 50 patients in the newly diagnosed group, including 28 males and 22 females, with the onset age of 43.5(32.3,58.8)years. There were 100 patients in the post-treatment group, including 36 males and 64 females, with the onset age of 34.5(23.0,47.0)years. The results from cytomorphology expert were used as the gold standard and the Python 3.6.7 was used for analysis to evaluate the accuracy, sensitivity, and specificity of the AI cytomorphologic analysis system for blast cell recognition in AML diagnosis and treatment.Results:The proportion of blasts in AI analysis of 50 samples in the newly diagnosed group was&ge;20%, which met the diagnostic criteria of AML. AI analysis of blasts had an accuracy of 90.3%, sensitivity of 85.5%, and specificity of 98.0%. The correlation coefficient between AI and the proportion of blasts analyzed by experts was positively correlated( r=0.882, P<0.001). Meanwhile, in the post-treatment group, the sensitivity and specificity of AI analysis of blasts were 89.7% and 99.2%, respectively. The correlation coefficient between AI and the proportion of blasts analyzed by experts was positively correlated( r=0.957, P<0.001). According to AI analysis data, there are 8 samples in this group whose AI efficacy evaluation results on AML are inconsistent with expert analysis. Conclusion:AI cytomorphologic analysis system has high accuracy, sensitivity and specificity for blast cell recognition in AML morphological diagnosis and therapeutic evaluation.

Sympathetic cues via the adrenergic signaling critically regulate bone homeostasis and contribute to neurostress-induced bone loss, but the mechanisms and therapeutics remain incompletely elucidated. Here, we reveal an osteoclastogenesis-centered functionally important osteopenic pathogenesis under sympatho-adrenergic activation with characterized microRNA response and efficient therapeutics. We discovered that osteoclastic miR-21 was tightly regulated by sympatho-adrenergic cues downstream the β2-adrenergic receptor (β₂AR) signaling, critically modulated osteoclastogenesis in vivo by inhibiting programmed cell death 4 (Pdcd4), and mediated detrimental effects of both isoproterenol (ISO) and chronic variable stress (CVS) on bone. Intriguingly, without affecting osteoblastic bone formation, bone protection against ISO and CVS was sufficiently achieved by a (D-Asp₈)-lipid nanoparticle-mediated targeted inhibition of osteoclastic miR-21 or by clinically relevant drugs to suppress osteoclastogenesis. Collectively, these results unravel a previously underdetermined molecular and functional paradigm that osteoclastogenesis crucially contributes to sympatho-adrenergic regulation of bone and establish multiple targeted therapeutic strategies to counteract osteopenias under stresses.
Adrenergic Agents/pharmacology* ; Apoptosis Regulatory Proteins/pharmacology* ; Bone Diseases, Metabolic/metabolism* ; Humans ; Liposomes ; MicroRNAs/genetics* ; Nanoparticles ; Osteoclasts ; Osteogenesis/physiology* ; RNA-Binding Proteins/pharmacology*