Ischemic stroke(IS)research has faced bottlenecks due to the limitations of conventional technologies in resolving cellular heterogeneity and spatiotemporal dynamics.The development of single-cell and spatial omics technologies provides revolutionary tools to break through these constraints.Single-cell omics technologies,by performing high-throughput sequencing on thousands of cells,reveal the high heterogeneity and dynamic state transitions of neurons,glial cells,immune cells,and others post-IS.For instance,microglia contain pro-inflammatory and anti-inflammatory functional subsets,while astrocytes exhibit distinct activation state spectra.Pseudotime analysis further reconstructs the fate trajectories of cells during the damage and repair processes.Spatial omics technologies,conversely,reconstruct spatial maps of gene expression through in situ capture,elucidating molecular gradients between the ischemic core,penumbra,and healthy brain regions,and enabling the analysis of critical cell-cell interaction net-works.Integrating the deep phenotyping capability of single-cell sequencing with the in situ localization information from spatial omics constitutes the current core strategy.This multimodal analysis allows for precise anchoring of cell subtypes to their spatial microenvironments,revealing their distribution patterns and functions,and constructing a more accurate atlas of cell-cell communication.This significantly ad-vances the refined dissection of IS mechanisms.This strategy has already accelerated the discovery of po-tential biomarkers and spatiotemporally specific therapeutic targets.Although challenges remain in sample preparation,data integration,and technical noise,future interdisciplinary collaboration,multi-omics in-tegration,and in-depth mining with artificial intelligence promise to comprehensively transform our under-standing of IS.Ultimately,it holds the potential to promote advances in its early diagnosis,precise sub-typing,and the development of individualized treatment strategies.

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Cardiac arrest is a major health event that poses a major threat to human life and health.Post-cardiac arrest brain injury is the main adverse prognostic factor and cause of death in patients who experience cardiac arrest.Currently,the therapeutic methods and effects are limited.In recent years,with the in-depth research on microbiota-gut-brain communication,it has been found that intestinal microbiota and their metabolites may play a role in the regulation of neuroinflammation in post-cardiac arrest brain injury.Short-chain fatty acids are the key substances in microbiota-gut-brain communication,and the mechanism involves immune,endocrine and neuroregulatory pathways.Supplementation of short-chain fatty acid-producing bacteria or short-chain fatty acids can improve intestinal flora disorder and reduce neuroinflammation after cardiopulmonary resuscitation.As a key mediator in microbial-gut-brain communication,short-chain fatty acids have great potential for the treatment of brain injury after cardiac arrest.This review explores the role and regulatory mechanism of microbiota-gut-brain communication in the neuroinflammation of brain injury after cardiopulmonary resuscitation through immune,endocrine and neuro-regulatory pathways,providing a new idea for the treatment of post-cardiac arrest brain injury.

Cardiac arrest is a major health event that poses a major threat to human life and health.Post-cardiac arrest brain injury is the main adverse prognostic factor and cause of death in patients who experience cardiac arrest.Currently,the therapeutic methods and effects are limited.In recent years,with the in-depth research on microbiota-gut-brain communication,it has been found that intestinal microbiota and their metabolites may play a role in the regulation of neuroinflammation in post-cardiac arrest brain injury.Short-chain fatty acids are the key substances in microbiota-gut-brain communication,and the mechanism involves immune,endocrine and neuroregulatory pathways.Supplementation of short-chain fatty acid-producing bacteria or short-chain fatty acids can improve intestinal flora disorder and reduce neuroinflammation after cardiopulmonary resuscitation.As a key mediator in microbial-gut-brain communication,short-chain fatty acids have great potential for the treatment of brain injury after cardiac arrest.This review explores the role and regulatory mechanism of microbiota-gut-brain communication in the neuroinflammation of brain injury after cardiopulmonary resuscitation through immune,endocrine and neuro-regulatory pathways,providing a new idea for the treatment of post-cardiac arrest brain injury.

OBJECTIVE: To explore the relationship between serum chloride levels and prognosis in patients with hepatic coma in the intensive care unit (ICU). METHODS: We analyzed 545 patients with hepatic coma in the ICU from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Associations between serum chloride levels and 28-day and 1-year mortality rates were assessed using restricted cubic splines (RCSs), Kaplan-Meier (KM) curves, and Cox regression. Subgroup analyses, external validation, and mechanistic studies were also performed. RESULTS: A total of 545 patients were included in the study. RCS analysis revealed a U-shaped association between serum chloride levels and mortality in patients with hepatic coma. The KM curves indicated lower survival rates among patients with low chloride levels (< 103 mmol/L). Low chloride levels were independently linked to increased 28-day and 1-year all-cause mortality rates. In the multivariate models, the hazard ratio ( HR) for 28-day mortality in the low-chloride group was 1.424 (95% confidence interval [ CI]: 1.041-1.949), while the adjusted hazard ratio for 1-year mortality was 1.313 (95% CI: 1.026-1.679). Subgroup analyses and external validation supported these findings. Cytological experiments suggested that low chloride levels may activate the phosphorylation of the NF-κB signaling pathway, promote the expression of pro-inflammatory cytokines, and reduce neuronal cell viability. CONCLUSION Low serum chloride levels are independently associated with increased mortality in patients with hepatic coma.
Humans ; Male ; Female ; Middle Aged ; Intensive Care Units ; Prognosis ; Chlorides/blood* ; Aged ; Coma/blood* ; Adult

With the rapid development of generative artificial intelligence(GAI)technologies,their widespread application in academic research and writing is continuously expanding the boundaries of sci-entific inquiry.However,this trend has also raised a series of ethical and regulatory challenges,inclu-ding issues related to authorship,content authenticity,citation accuracy,and accountability.In light of the growing involvement of AI in generating academic content,establishing an open,controllable,and trustworthy ethical governance framework has become a key task for safeguarding research integrity and maintaining trust within the academic community.This expert consensus outlines ethical requirements across key stages of AI-assisted academic writing-including topic selection,data management,citation practices,and authorship attribution.It aims to clarify the boundaries and ethical obligations surrounding AI use in academic writing,ensuring that technological tools enhance efficiency without compromising in-tegrity.The goal is to provide guidance and institutional support for building a responsible and sustainable research ecosystem.

Objective:To establish a stable rat model of sequelae of pelvic inflammatory disease(SPID)with clinical characteristics,and to provide a reliable experimental model for the study of the pharmcological effect and mechanism of SPID.Methods:Twenty-four 7-week-old SD rats were divided into sham operation group,model-A(108 cfu/mL mixed bacterial solution,0.2 mL),model-B(109 cfu/mL mixed bacterial solution 0.2 mL),and model-C(108 cfu/mL E.coli 0.2 mL).The weight of the rat's uterine was weighed and the uterine index was calculated.The automatic hematology analyzer was used to detect the blood routine;hematoxylin-eosin staining(HE)and masson staining were used to detect uterine pathlogical changes in rats.Enzyme-linked immunosorbent assay(ELISA)was used to detect interleukin-1β(IL-1β),interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in rat uterine tissue homogenates.Western blot was used to detect the expression of proteins related to NF-κB signaling pathway.Results:Compared with the sham operation group,the uterine index of model-A,model-B,and model-C were significantly increased(P＜0.05,P＜0.01).The levels of WBC and NE in the model-A increased significantly(P＜0.01).The level of LY in model-B decreased significantly(P＜0.01).The levels of IL-1β,TNF-α in model-A,model-B,and model-C were significantly increased(P＜0.01).The levels of IL-6 in model-A and model-B were significantly increased(P＜0.05,P＜0.01).The collagen volume fraction of model-A and model-B were significantly increased(P＜0.01).Mechanism study indicates that the expression levels of p-IKKβ/IKKβ,p-IκBα/IκBα and p-p65/p65 in model-A were significantly increased(P＜0.01),and the expression levels of IκBα/β-actin were significantly decreased(P＜0.01).The expression level of p-IKKβ/IKKβ in model-B was significantly increased(P＜0.01).Conclusions:A stable rat model of SPID that conforms to clinical characteristics can be successfully constructed by combining 0.2 mL of mixed bacterial solution with a concentration of 108 cfu/mL and mechanical injury.This modeling method intervened in the expression of the NF-κB inflammatory signaling pathway.

Ischemic stroke(IS)research has faced bottlenecks due to the limitations of conventional technologies in resolving cellular heterogeneity and spatiotemporal dynamics.The development of single-cell and spatial omics technologies provides revolutionary tools to break through these constraints.Single-cell omics technologies,by performing high-throughput sequencing on thousands of cells,reveal the high heterogeneity and dynamic state transitions of neurons,glial cells,immune cells,and others post-IS.For instance,microglia contain pro-inflammatory and anti-inflammatory functional subsets,while astrocytes exhibit distinct activation state spectra.Pseudotime analysis further reconstructs the fate trajectories of cells during the damage and repair processes.Spatial omics technologies,conversely,reconstruct spatial maps of gene expression through in situ capture,elucidating molecular gradients between the ischemic core,penumbra,and healthy brain regions,and enabling the analysis of critical cell-cell interaction net-works.Integrating the deep phenotyping capability of single-cell sequencing with the in situ localization information from spatial omics constitutes the current core strategy.This multimodal analysis allows for precise anchoring of cell subtypes to their spatial microenvironments,revealing their distribution patterns and functions,and constructing a more accurate atlas of cell-cell communication.This significantly ad-vances the refined dissection of IS mechanisms.This strategy has already accelerated the discovery of po-tential biomarkers and spatiotemporally specific therapeutic targets.Although challenges remain in sample preparation,data integration,and technical noise,future interdisciplinary collaboration,multi-omics in-tegration,and in-depth mining with artificial intelligence promise to comprehensively transform our under-standing of IS.Ultimately,it holds the potential to promote advances in its early diagnosis,precise sub-typing,and the development of individualized treatment strategies.

Objective:To establish a stable rat model of sequelae of pelvic inflammatory disease(SPID)with clinical characteristics,and to provide a reliable experimental model for the study of the pharmcological effect and mechanism of SPID.Methods:Twenty-four 7-week-old SD rats were divided into sham operation group,model-A(108 cfu/mL mixed bacterial solution,0.2 mL),model-B(109 cfu/mL mixed bacterial solution 0.2 mL),and model-C(108 cfu/mL E.coli 0.2 mL).The weight of the rat's uterine was weighed and the uterine index was calculated.The automatic hematology analyzer was used to detect the blood routine;hematoxylin-eosin staining(HE)and masson staining were used to detect uterine pathlogical changes in rats.Enzyme-linked immunosorbent assay(ELISA)was used to detect interleukin-1β(IL-1β),interleukin-6(IL-6)and tumor necrosis factor-α(TNF-α)in rat uterine tissue homogenates.Western blot was used to detect the expression of proteins related to NF-κB signaling pathway.Results:Compared with the sham operation group,the uterine index of model-A,model-B,and model-C were significantly increased(P＜0.05,P＜0.01).The levels of WBC and NE in the model-A increased significantly(P＜0.01).The level of LY in model-B decreased significantly(P＜0.01).The levels of IL-1β,TNF-α in model-A,model-B,and model-C were significantly increased(P＜0.01).The levels of IL-6 in model-A and model-B were significantly increased(P＜0.05,P＜0.01).The collagen volume fraction of model-A and model-B were significantly increased(P＜0.01).Mechanism study indicates that the expression levels of p-IKKβ/IKKβ,p-IκBα/IκBα and p-p65/p65 in model-A were significantly increased(P＜0.01),and the expression levels of IκBα/β-actin were significantly decreased(P＜0.01).The expression level of p-IKKβ/IKKβ in model-B was significantly increased(P＜0.01).Conclusions:A stable rat model of SPID that conforms to clinical characteristics can be successfully constructed by combining 0.2 mL of mixed bacterial solution with a concentration of 108 cfu/mL and mechanical injury.This modeling method intervened in the expression of the NF-κB inflammatory signaling pathway.

Following the principles of evidence-based medicine,in accordance with the structure and drafting rules of standardized documents,based on literature research,according to the characteristics of chronic cough in children and issues that need to form a consensus,the TCM Guidelines for Diagnosis and Treatment of Chronic Cough in Children was formulated based on the Delphi method,expert discussion meetings,and public solicitation of opinions.The guideline includes scope of application,terms and definitions,eti-ology and diagnosis,auxiliary examination,treatment,prevention and care.The aim is to clarify the optimal treatment plan of Chinese medicine in the diagnosis and treatment of this disease,and to provide guidance for improving the clinical diagnosis and treatment of chronic cough in children with Chinese medicine.