Metabolic associated fatty liver disease （MAFLD） is a chronic liver disease with a rapidly increasing incidence rate worldwide， and its complex pathogenesis is closely associated with O-linked β-N-acetylglucosamine （O-GlcNAc） modification. As a dynamic and reversible post-translational modification of proteins， O-GlcNAc modification is mainly regulated by O-GlcNAc transferase and O-GlcNAcase. O-GlcNAc modification can drive hepatic steatosis， exacerbate insulin resistance， and impair mitochondrial function， thereby leading to the aggravation of metabolic disorders， promoting inflammation response， and driving the progression of MAFLD to metabolic associated steatohepatitis and hepatic fibrosis. This article systematically reviews the latest research advances in the role of O-GlcNAc modification in the development and progression of MAFLD， in order to provide theoretical support and research direction for a deeper understanding of the pathological mechanism of MAFLD and the development of effective therapeutic strategies.

OBJECTIVE To explore the mechanism of Qiangxin decoction in the treatment of chronic heart failure （CHF） by regulating the inhibitor of nuclear factor-κB alpha/nuclear factor-κB p65 subunit （IκBα/NF-κB p65） signaling pathway-mediated M1 macrophage polarization. METHODS In animal experiments， mice were used as research subjects， and the CHF model was established via coronary artery ligation. Model mice were treated with Qiangxin decoction （21.69 g/kg） for 28 days. After intervention， pathological morphological changes of myocardial tissues and cardiomyocyte apoptosis were observed. Serum levels of inflammatory factors including tumor necrosis factor-α （TNF-α） and interleukin-6 （IL-6）， myocardial injury marker troponin I3 （TNNI3）， and macrophage-related markers F4/80 and cluster of differentiation 80 （CD80） were detected. In cell experiments， monocyte-macrophage leukemia RAW264.7 cells were induced to undergo M1 polarization by 10 ng/mL lipopolysaccharide combined with 10 ng/mL interferon-γ， followed by 48 h intervention with 10% drug-containing serum of Qiangxin decoction. After intervention， the nuclear translocation of NF-κB p65 and NF-κB p50 was observed. The positive rate of CD80 in cells was measured. The mRNA expression of inflammatory factors including IL-1β， IL-6， IL-8， IL-18， TNF-α， inducible nitric oxide synthase （iNOS）， cyclooxygenase-2 （COX2）， C-C motif chemokine receptor 7 isoform 2 （CCR7-2）， as well as the expression levels of proteins related to the IκBα/NF-κB p65 signaling pathway were detected. RESULTS Animal experimental results showed that Qiangxin decoction alleviated myocardial fibrosis in mice， and significantly reduced the cardiomyocyte apoptosis rate， serum levels of TNF-α and IL-6， as well as the protein expression of TNNI3， F4/80 and CD80 in myocardial tissues （P＜0.05）. Cell experimental results indicated that Qiangxin decoction significantly suppressed the nuclear translocation of NF-κB p65 and NF-κB p50 （P＜0.05）. It significantly decreased the CD80 positive rate， mRNA levels of IL-1β， IL-6， IL-8， IL-18， TNF-α， iNOS， COX2 and CCR7-2， total and nuclear expression of NF-κB p65， total， nuclear and cytoplasmic expression of phosphorylated NF-κB p65， total expression of phosphorylated IκBα （P＜0.05）. Meanwhile， it significantly elevated the total expression of IκBα and cytoplasmic expression of NF-κB p65 （P＜0.05）. CONCLUSIONS Qiangxin decoction can inhibit the activity of the IκBα/NF-κB p65 signaling pathway， reduce the release of pro-inflammatory factors， thereby restraining M1 macrophage polarization， mitigating myocardial fibrosis， and ultimately exerting therapeutic effects against CHF.

Objective To systematically review the application and effectiveness of deep learning(DL)in diagnosis of mild cogni-tive impairment(MCI)among older adults.Methods PubMed,Web of Science,CNKI and Wanfang databases were searched for literatures related to the application of DL in MCI among older adults,from database inception to December,2024.A scoping review was conducted.The literature screening process followed the Scoping Review Report Specification list,and the quality assess-ment was conducted using the cross-sectional study quality evaluation tool developed by the Evidence-based Health Care Center.Results A total of eleven papers were included,from Italy,USA,South Korea,China,India and Switzerland,involving 11 829 elderly participants,publicated mainly between 2014 and 2024,reflecting the rapid development trend of the field in the last decade,which was in line with the timing of the development of DL technology.The quality scores of the included literatures were all six to seven.The types of studies were all cross-sectional studies with significant cross-disciplinary characteristics,mainly originating from the fields of clinical medicine,biology and neuroimaging.The literature data were mainly based on the Alzheimer's disease Neuroimaging Program database and integrated other data resources.In terms of data type,in addition to brain imaging data,one study based on text data was also included.In terms of models used,five of the studies were mainly based on convolutional neu-ral networks,and the rest used different DL modeling frameworks.The task types contained binary and triple classification.In terms of prediction results,the DL models constructed on multimodal data,such as brain imag-es,could be used to construct high-precision prediction models for MCI classification,and the models were all good,with accuracy more than 70%and AUC values more than 0.7.The diagnostic accuracy of some of the mod-els was more than 90%,and the model with the highest prediction accuracy was the one that used the Biceph-Net lightweight framework,with accuracy close to 100%,and the text analysis model based on Transformer made the AUC value of 0.846,which provided new ideas for the diagnosis of non-imaging data.Conclusion DL can not only provide strong support for the accurate identification of MCI in the elderly,but also provide auxiliary prediction tools for clinicians,which can help delay the progression of the disease and improve the prognosis of patients.

Objective To evaluate the methodological quality and measurement attribute quality of the evaluation tool for pediatric palliative care quality assessment tools,and to provide references for medical staff to select the best assessment tools.Methods The PubMed,Embase,Cochrane Library,Web of Science,CINAHL,Scopus,China National Knowledge Infrastructure(CNKI),Wanfang Database,VIP Database,Chinese Biomedical Literature Database,GIN,NGC,NICE,NRAO,medlive,WHO,AAHPM,WHPCA,APHN were searched from inception to March 28,2024.Data were screened and extracted independently by 2 researchers.The consensus-based standards for the selection of health measurement instruments(COSMIN)checklist and quality criteria were employed to evaluate the methodological quality and psychometric properties of the included pediatric palliative care quality assessment tools.Finally,recommendations were formulated based on these evaluations.Results A total of 13 articles were included,involving 9 pediatric palliative care quality assessment tools.Among them,the PICU-QODD,PaPEQu and QCPCI demonstrated good content validity and internal consistency,and are recommended as Grade A.The remaining assessment tools are recommended as Grade B or C.Conclusion The PICU-QODD,PaPEQu and QCPCI are recommended for use,but further validation of their psychometric properties is still needed.

OBJECTIVE To establish a population pharmacokinetic(PopPK)model to predict the PK characteristics of GLS-010 in humans.METHODS Fifty-eight cynomolgus monkeys were used,18 of which were randomly divided into three groups and received a single intravenous infusion of GLS-010 at doses of 2,6,and 18 mg·kg-1,respectively.The rest were randomly assigned to four groups and received multiple intravenous infusions of GLS-010 at doses of 0,5,25,and 100 mg·kg-1,respectively,once a week(quaque week,qw)for five consecutive weeks.Blood samples were collected before and after administration.The concentrations of GLS-010 in the monkey serum were measured using a validated enzyme-linked immunosorbent assay,while those of anti-drug antibodies(ADA)in the cynomolgus monkey serum were determined by ultra-sensitive electrochemiluminescence immunoassay.The PK data on GLS-010 in cynomolgus monkeys was obtained,and the drug-time curves were plotted.A PopPK model was constructed using non-compartmental analysis and evaluated by goodness-of-fit plots and visual predictive checks.The constructed PopPK model was used to predict the PK characteristics in humans,which were finally compared with actual Phase Ⅰ clinical study results for validation.RESULTS The predictive results of the PopPK model were highly consistent with the actual Phase Ⅰ clinical study results.The model was able to predict the human PK characteristics under various dosing regimens,including 1 mg·kg-1 quaque 2 weeks(q2w),4 mg·kg-1(q2w),240 mg(q2w),240 mg(q3w),and 10 mg·kg-1(q2w).The predicted maximum plasma concentrations(Cmax)were 24.8,99.1,85.0,85.0,and 247.8 mg·L-1,respectively,and the AUC0-336h was 4 902.0,20 060.0,17 147.7,22 145.7(AUC0-504h),and 50 817.6 mg·h·L-1,respectively.The safety risks for the corresponding dosing regimens were 47.3,11.6,13.5,10.5,and 4.6,respectively.The predicted receptor occupancy at steady state(ROss)at Cmax,average plasma concentration(Cavg),and minimum plasma concentration(Cmin)were 38.8％,72.7％,69.4％,64.1％and 87.2％,29.1％,63.8％,60.0％,49.8％and 82.1％,21.9％,55.5％,51.3％,36.3％and 76.7％,respectively.CONCLUSION The PopPK model can effectively predict the human PK characteristics under different dosing regimens with high consistency with actual Phase Ⅰ clinical study results,which can serve as an important reference for selection of safe and effective doses for first-in-human research.

Objective To evaluate the methodological quality and measurement attribute quality of the evaluation tool for pediatric palliative care quality assessment tools,and to provide references for medical staff to select the best assessment tools.Methods The PubMed,Embase,Cochrane Library,Web of Science,CINAHL,Scopus,China National Knowledge Infrastructure(CNKI),Wanfang Database,VIP Database,Chinese Biomedical Literature Database,GIN,NGC,NICE,NRAO,medlive,WHO,AAHPM,WHPCA,APHN were searched from inception to March 28,2024.Data were screened and extracted independently by 2 researchers.The consensus-based standards for the selection of health measurement instruments(COSMIN)checklist and quality criteria were employed to evaluate the methodological quality and psychometric properties of the included pediatric palliative care quality assessment tools.Finally,recommendations were formulated based on these evaluations.Results A total of 13 articles were included,involving 9 pediatric palliative care quality assessment tools.Among them,the PICU-QODD,PaPEQu and QCPCI demonstrated good content validity and internal consistency,and are recommended as Grade A.The remaining assessment tools are recommended as Grade B or C.Conclusion The PICU-QODD,PaPEQu and QCPCI are recommended for use,but further validation of their psychometric properties is still needed.

Objective To systematically review the application and effectiveness of deep learning(DL)in diagnosis of mild cogni-tive impairment(MCI)among older adults.Methods PubMed,Web of Science,CNKI and Wanfang databases were searched for literatures related to the application of DL in MCI among older adults,from database inception to December,2024.A scoping review was conducted.The literature screening process followed the Scoping Review Report Specification list,and the quality assess-ment was conducted using the cross-sectional study quality evaluation tool developed by the Evidence-based Health Care Center.Results A total of eleven papers were included,from Italy,USA,South Korea,China,India and Switzerland,involving 11 829 elderly participants,publicated mainly between 2014 and 2024,reflecting the rapid development trend of the field in the last decade,which was in line with the timing of the development of DL technology.The quality scores of the included literatures were all six to seven.The types of studies were all cross-sectional studies with significant cross-disciplinary characteristics,mainly originating from the fields of clinical medicine,biology and neuroimaging.The literature data were mainly based on the Alzheimer's disease Neuroimaging Program database and integrated other data resources.In terms of data type,in addition to brain imaging data,one study based on text data was also included.In terms of models used,five of the studies were mainly based on convolutional neu-ral networks,and the rest used different DL modeling frameworks.The task types contained binary and triple classification.In terms of prediction results,the DL models constructed on multimodal data,such as brain imag-es,could be used to construct high-precision prediction models for MCI classification,and the models were all good,with accuracy more than 70%and AUC values more than 0.7.The diagnostic accuracy of some of the mod-els was more than 90%,and the model with the highest prediction accuracy was the one that used the Biceph-Net lightweight framework,with accuracy close to 100%,and the text analysis model based on Transformer made the AUC value of 0.846,which provided new ideas for the diagnosis of non-imaging data.Conclusion DL can not only provide strong support for the accurate identification of MCI in the elderly,but also provide auxiliary prediction tools for clinicians,which can help delay the progression of the disease and improve the prognosis of patients.

OBJECTIVE To establish a population pharmacokinetic(PopPK)model to predict the PK characteristics of GLS-010 in humans.METHODS Fifty-eight cynomolgus monkeys were used,18 of which were randomly divided into three groups and received a single intravenous infusion of GLS-010 at doses of 2,6,and 18 mg·kg-1,respectively.The rest were randomly assigned to four groups and received multiple intravenous infusions of GLS-010 at doses of 0,5,25,and 100 mg·kg-1,respectively,once a week(quaque week,qw)for five consecutive weeks.Blood samples were collected before and after administration.The concentrations of GLS-010 in the monkey serum were measured using a validated enzyme-linked immunosorbent assay,while those of anti-drug antibodies(ADA)in the cynomolgus monkey serum were determined by ultra-sensitive electrochemiluminescence immunoassay.The PK data on GLS-010 in cynomolgus monkeys was obtained,and the drug-time curves were plotted.A PopPK model was constructed using non-compartmental analysis and evaluated by goodness-of-fit plots and visual predictive checks.The constructed PopPK model was used to predict the PK characteristics in humans,which were finally compared with actual Phase Ⅰ clinical study results for validation.RESULTS The predictive results of the PopPK model were highly consistent with the actual Phase Ⅰ clinical study results.The model was able to predict the human PK characteristics under various dosing regimens,including 1 mg·kg-1 quaque 2 weeks(q2w),4 mg·kg-1(q2w),240 mg(q2w),240 mg(q3w),and 10 mg·kg-1(q2w).The predicted maximum plasma concentrations(Cmax)were 24.8,99.1,85.0,85.0,and 247.8 mg·L-1,respectively,and the AUC0-336h was 4 902.0,20 060.0,17 147.7,22 145.7(AUC0-504h),and 50 817.6 mg·h·L-1,respectively.The safety risks for the corresponding dosing regimens were 47.3,11.6,13.5,10.5,and 4.6,respectively.The predicted receptor occupancy at steady state(ROss)at Cmax,average plasma concentration(Cavg),and minimum plasma concentration(Cmin)were 38.8％,72.7％,69.4％,64.1％and 87.2％,29.1％,63.8％,60.0％,49.8％and 82.1％,21.9％,55.5％,51.3％,36.3％and 76.7％,respectively.CONCLUSION The PopPK model can effectively predict the human PK characteristics under different dosing regimens with high consistency with actual Phase Ⅰ clinical study results,which can serve as an important reference for selection of safe and effective doses for first-in-human research.

Objective To investigate the effect of a three-tier delirium care management process in patients with acute stroke in neurology intensive care unit(NICU).Methods A total of 50 patients with acute stroke admitted to the NICU of the Fourth Hospital of Changsha from May to September 2021 were assigned to the control group.The patients in the control group received routine NICU nursing care to prevent delirium.Another 50 patients with acute stroke admitted to the NICU from December 2021 to April 2022 were assigned to the trial group.They were managed with the three-tier delirium nursing management process on top of the routine NICU nursing care for the control group.The incidence of ICU delirium(DICU),duration of DICU,length of stay in NICU and the incidence of delirium-related adverse events were compared between the two groups.The degree of delirium and cognitive function before and after the intervention were compared between the two groups as well.Results The trial group had significantly shorter duration of DICU and NICU stay(both P<0.05)and lower incidence rate of delirium-related adverse events(P<0.05)compared to the control group.After the intervention,the trial group showed significantly lower scores on the intensive care delirium screening checklist(ICDSC)and significantly higher scores of cognitive function compared to those of the control group(both P<0.05).Conclusion The three-tier delirium nursing management process can lower the occurrence of delirium in NICU patients with acute stroke,shorten the NICU stay,reduce the safety risk in nursing,and improve the cognitive function.

Objective:To conduct visual analysis of neonatal hospice care based on Web of Science database and explore the research hotspots and frontiers, so as to provide reference for the development of neonatal hospice care in China.Methods:The literatures related to neonatal hospice care included in the core collection of Web of Science from 1991 to 2023 were retrieved and screened. CiteSpace 6.1.R6 was used for visual analysis from the aspects of author, country/region, institution, journal co-citation frequency, keyword knowledge map and so on.Results:A total of 1 452 articles were included, and the number of articles was on the rise. The United States, the United Kingdom and Canada occupied the core position of neonatal hospice care related research. Research hotspots included hospice care for different stages and types of diseases, key links in neonatal intensive care unit hospice care, innovation in neonatal hospice care service models, the needs and psychological support strategies of family members and medical staff. The forefront of research focused on the role and challenges of healthcare professionals in hospice care, disease diagnosis and ethical dilemmas related to decision-making.Conclusions:China can learn from international research hotspots and frontiers to explore the applicability of different hospice service models, enrich research types, strengthen guidance at the level of laws and policies, improve education and training systems and build a neonatal hospice service system that conforms to national conditions and culture in China.