AIM: To investigate the impact of corneal fluorescein sodium(NaF)staining on the examination results of iTrace visual function analyzer(iTrace).METHODS: Prospective cohort study. Totally 100 patients(100 eyes)with ametropia who visited the outpatient department of Anhui Eye Hospital from April to November 2024 were recruited. They were divided into an experimental group and a control group, with 50 patients(50 eyes, and only the right eyes were selected for inclusion)in each group. In the experimental group, corneal staining was performed using fluorescein sodium staining test strips, while in the control group, 1 drop of 0.9% normal saline was instilled into the eyes. The iTrace examination was conducted before the intervention and at 5, 10, and 20 min after the intervention. The total corneal higher-order aberrations, spherical aberration, coma aberration, trefoil aberration, best sphere value(RO value), asphericity factor(Q value), and corneal vertical refractive power difference(IS value)at each time of examination were recorded and compared.RESULTS: There was no statistically significant difference in the baseline levels between the two groups(all P>0.05). Intra-group comparison revealed that the total higher-order aberrations, spherical aberration, coma aberration, and trefoil aberration measured 5 min after NaF staining in the experimental group were significantly increased compared with those before staining(all P<0.05). Inter-group comparison showed that the changes(differences from the baseline)in the total corneal higher-order aberrations, spherical aberration, coma aberration, and trefoil aberration measured by iTrace 5 min after the intervention in the experimental group were significantly greater than those in the control group(all P<0.05). There was no statistically significant difference in the changes(differences from the baseline)of various iTrace parameters measured at 10 and 20 min after the intervention between the two groups(all P>0.05). There was no statistical significance in the RO value, Q value, and IS value in the two groups(all P>0.05).CONCLUSION: Corneal NaF staining can cause a short-term increase in the wavefront aberration values(total corneal higher-order aberrations, spherical aberration, coma aberration, trefoil aberration)measured by iTrace, and it gradually disappears with the passage of time. However, it has no impact on the measurement of corneal topography parameters(RO value, Q value, IS value).

Objective:To summarize the progress in the research of textual quality evaluation of health-related media reports.Methods:A systematic literature retrieval about textual quality evaluation of health-related media reports based on PubMed, Web of Science, Embase, Wanfang database, and China National Knowledge Infrastructure was conducted. Information regarding the textual quality definition, evaluation dimensions, indicators and methods of included papers was extracted.Results:A total of 29 study papers were included in this analysis, in which 26 were about retrospective textual quality evaluation of health-related media reports, and 3 were about the model or tool development for textual quality evaluation of health-related media reports. The topics of news reports included: 16 studies on injury, 3 on general health, 3 on infectious disease, 3 on cancer screening and treatment, 3 on chronic non-communicable disease, and 1 on medication risk. The definition of textual quality of health-related media reports and the dimensions of the quality evaluation varied across the studies. The quality evaluation indicators of media reports can be divided into three categories: availability of surveillance information, availability of professional information, and adherence to principles of media reporting. Most studies conducted the quality evaluation manually, with only 2 studies employing semi-automated or automated evaluation methods.Conclusions:No unified definition, set of dimensions, indicators, or automated algorithms exist for evaluating the textual quality of health-related media reports, which limits assessing massive news data effectively. It is necessary to conduct methodological studies on the textual quality evaluation of health-related media reports based on journalism and communication theory, infodemiology, deep learning, natural language processing, text mining, as well as specific disease and injury prevention theory.

Objective:To summarize the progress in the research of textual quality evaluation of health-related media reports.Methods:A systematic literature retrieval about textual quality evaluation of health-related media reports based on PubMed, Web of Science, Embase, Wanfang database, and China National Knowledge Infrastructure was conducted. Information regarding the textual quality definition, evaluation dimensions, indicators and methods of included papers was extracted.Results:A total of 29 study papers were included in this analysis, in which 26 were about retrospective textual quality evaluation of health-related media reports, and 3 were about the model or tool development for textual quality evaluation of health-related media reports. The topics of news reports included: 16 studies on injury, 3 on general health, 3 on infectious disease, 3 on cancer screening and treatment, 3 on chronic non-communicable disease, and 1 on medication risk. The definition of textual quality of health-related media reports and the dimensions of the quality evaluation varied across the studies. The quality evaluation indicators of media reports can be divided into three categories: availability of surveillance information, availability of professional information, and adherence to principles of media reporting. Most studies conducted the quality evaluation manually, with only 2 studies employing semi-automated or automated evaluation methods.Conclusions:No unified definition, set of dimensions, indicators, or automated algorithms exist for evaluating the textual quality of health-related media reports, which limits assessing massive news data effectively. It is necessary to conduct methodological studies on the textual quality evaluation of health-related media reports based on journalism and communication theory, infodemiology, deep learning, natural language processing, text mining, as well as specific disease and injury prevention theory.

Cerebral organoids are three-dimensional nerve cultures induced by embryonic stem cells(ESCs)or induced pluripotent stem cells(iPSCs)that mimic the structure and function of human brain.With the continuous optimization of cerebral organoid culture technology and the combination with emerging technologies such as organ transplantation,gene editing and organoids-on-chip,complex brain tissue structures such as functional vascular structures and neural circuits have been produced,which provides new methods and ideas for studying human brain development and diseases.This article reviews the latest advances in brain organoid technology,describes its application in neurological diseases and advances in stroke modeling and transplantation treatment.

Post-stroke cognitive impairment(PSCI)is mainly manifested as learning and memory disorders.Highly enriched RNA m6A methylation modification in mammalian brain is involved in glial cell-mediated neuroinflammation.Given that neuroinflammation is the main mechanism for neural damage and spatial and memory impairment of PSCI,it is speculated that RNA m6A methylation modification can regulate the inflammatory response of glial cells after stroke to improve PSCI.This review summarizes and analyzes the role of RNA m6A methylation modification in the development of PSCI and analyzes its detailed mechanism of regulating glial cell-mediated inflammation,which will provide reference for researchers in this field.

BACKGROUND:Long non-coding RNAs(lncRNAs),as important regulators of the inflammatory response,are involved in the immune-inflammation-brain crosstalk mechanism after ischemic stroke and have the potential to become a therapeutic agent for neurological dysfunction after ischemic stroke. OBJECTIVE:To analyze and summarize the molecular mechanism of lncRNA acting on glial cells involved in the neuroimmuno-inflammatory cascade response after ischemic stroke and the associated signaling pathways,pointing out that lncRNAs have the potential to regulate inflammation after ischemic stroke. METHODS:PubMed was searched using the search terms of"ischemic stroke,long non-coding RNA,neuroinflammation,immune function,signal pathway,microglia,astrocytes,oligodendrocyte,mechanism,"and 63 relevant documents were finally included for review. RESULTS AND CONCLUSION:In the early stage of ischemic stroke,the death of nerve cells due to ischemia and hypoxia activates the innate immune response of the brain,promoting the secretion of inflammatory factors and inducing blood-brain barrier damage and a series of inflammatory cascades responses.As an important pathogenesis factor in ischemic stroke,the neuroimmuno-inflammatory cascade has been proved to seriously affect the prognosis of patients with ischemic stroke,and it needs to be suppressed promptly in the early stage.Neuroinflammation after ischemic stroke usually induces abnormal expression of a large number of lncRNAs that mediate a series of neuro-immune-inflammatory crosstalk mechanisms through regulating the polarization of microglia,astrocytes and oligodendrocytes to exert post-stroke neuroprotective effects.LncRNAs,as important regulatory factors of the inflammatory response,inhibit the neuroimmuno-inflammatory cascade response after ischemic stroke through regulating nuclear factor-κB,lncRNA-miRNA-mRNA axis,Rho-ROCK,MAPK,AKT,ERK and other signaling pathways to effectively improve neurological impairment after ischemic stroke.Most of experimental studies on the interaction between lncRNAs and ischemic stroke are based on a middle cerebral artery occlusion model or a cerebral ischemia-reperfusion injury model,but no clinical trials have been conducted.Therefore,it remains to be further explored about whether lncRNAs can be safely applied in clinical practice.At present,there are many therapeutic drugs for the treatment of ischemic stroke,but there are relatively few studies on the application of lncRNAs,exosomes and other transplantation technologies for the treatment of ischemic stroke using tissue engineering technology,which need to be further explored.lncRNA has become an important target for the treatment of ischemic stroke with its relative stability and high specificity.In future studies,more types of inflammatory lncRNAs that function under ischemic-hypoxia conditions should continue to be explored,in order to provide new research directions for the treatment of neuroinflammation after ischemic stroke.

Post-stroke cognitive impairment(PSCI)is a common complication after stroke,which significantly affects quality of life.However,the pathogenesis has not been fully explained.Increasing evidence has shown that the mechanism of programmed cell death(PCD)is related to PSCI,including apoptosis,necroptosis,pyroptosis,PANoptosis,parthanatos,and ferroptosis.Therefore,it is crucial to clearly understand the various mechanisms of PCD and their relationship with PSCI,and to elucidate the role of PCD in PSCI pathogenesis.The article reviews six PCD pathways related to PSCI,summarizes their mechanisms of action in PSCI,and elucidates the possible crosstalk among pathways to provide a basis for clinical targeting of regulatory factors in the PCD pathway for PSCI treatment.

METTL3 and METTL14 are two components that form the core heterodimer of the main RNA m6A methyltransferase complex (MTC) that installs m6A. Surprisingly, depletion of METTL3 or METTL14 displayed distinct effects on stemness maintenance of mouse embryonic stem cell (mESC). While comparable global hypo-methylation in RNA m6A was observed in Mettl3 or Mettl14 knockout mESCs, respectively. Mettl14 knockout led to a globally decreased nascent RNA synthesis, whereas Mettl3 depletion resulted in transcription upregulation, suggesting that METTL14 might possess an m6A-independent role in gene regulation. We found that METTL14 colocalizes with the repressive H3K27me3 modification. Mechanistically, METTL14, but not METTL3, binds H3K27me3 and recruits KDM6B to induce H3K27me3 demethylation independent of METTL3. Depletion of METTL14 thus led to a global increase in H3K27me3 level along with a global gene suppression. The effects of METTL14 on regulation of H3K27me3 is essential for the transition from self-renewal to differentiation of mESCs. This work reveals a regulatory mechanism on heterochromatin by METTL14 in a manner distinct from METTL3 and independently of m6A, and critically impacts transcriptional regulation, stemness maintenance, and differentiation of mESCs.
Animals ; Mice ; Methylation ; Chromatin ; Histones/metabolism* ; RNA, Messenger/genetics* ; Methyltransferases/metabolism* ; RNA/metabolism*

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≥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.

Objective:To explore the pathway of influencing factors of self-management in elderly patients with type 2 diabetes mellitus (T2DM) based on health belief theory.Methods:It was a cross-sectional study. A total of 210 elderly patients with T2DM admitted to Shanghai 10th People′s Hospital from January 2021 to March 2022 were selected as research subjects.The surveys of general data questionnaire, social support rating scale, the diabetes self-management scale, the health literacy survey scale for patients with chronic diseases, and the self-efficacy scale for patients with diabetes were conducted in all the subjects. The t test and Spearman correlation analysis were used to test the correlation among variables. Results:Social support, health literacy and self-efficacy were positively correlated with self-management scores in these patients ( r=0.380, 0.392, 0.274, all P<0.001). Univariate analysis showed that there were statistically significant differences in self-management among patients with different age, education level, physical exercise, medical payment method, family history and sleep quality (all P<0.05). Path analysis showed that the mediating effect of social support in the relationship between health literacy and self-efficacy was significant (95% CI: 0.014-0.117), social support, self-efficacy and health literacy directly affected self-management( β=0.25, 0.27, 0.35, all P<0.01). Self-efficacy and health literacy also positively affected self-management through multiple mediators of social support ( β=0.16, 0.27, both P<0.01). Conclusion:Social support, self-efficacy and health literacy mediate in the self-management of elderly patients with T2DM complicated with chronic complications and interact with each other.