This comprehensive review synthesizes the latest advancements in understanding inflammatory disorders affecting cerebral small vessels, a distinct yet understudied category within cerebral small vessel diseases (SVD). Unlike classical SVD, these inflammatory conditions exhibit unique clinical presentations, imaging patterns, and pathophysiological mechanisms, posing significant diagnostic and therapeutic challenges. Highlighting their heterogeneity, this review spans primary angiitis of the central nervous system, cerebral amyloid angiopathy-related inflammation, systemic vasculitis, secondary vasculitis, and vasculitis in autoinflammatory diseases. Key discussions focus on emerging insights into immune-mediated processes, neuroimaging characteristics, and histopathological distinctions. Furthermore, this review underscores the importance of standardized diagnostic frameworks, individualized immunomodulation approaches, and novel targeted therapies to address unmet clinical demands.
Humans ; Cerebral Small Vessel Diseases/pathology* ; Inflammation/pathology* ; Cerebral Amyloid Angiopathy/pathology* ; Vasculitis, Central Nervous System/pathology* ; Vasculitis/pathology*

With the development of critical medical emergency technology, the success rate of sepsis treatment has been significantly improved, and the improvement of the long-term quality of life of sepsis survivors has also attracted more and more attention. ICU-acquired weakness (ICU-AW) refers to a group of syndromes with systemic and symmetrical muscle weakness during the intensive care unit (ICU) hospitalization and cannot be explained by the patient's own disease, which often involve diaphragm and skeletal muscle, resulting in difficulty in weaning and nosocomial infection. The incidence of ICU-AW in sepsis patients is over 50%, making it an important factor affecting the prognosis of these patients. The occurrence of sepsis ICU-AW is related to many factors, which can be summarized into two categories, including sepsis-related factors such as sepsis-associated inflammatory response, sepsis-associated encephalopathy (SAE), and treatment-related factors such as physical immobilization and insufficient nutritional support. The current ICU-AW risk assessment tools are mainly on subjective assessment scales, but there are some limitations in clinical application, and objective assessment tools including predictive model and imaging assessment, which are still in the research stage. "ABCDEF bundle strategy" is an important measure to prevent ICU-AW, in which early rehabilitation is the core element. This review of the literature from the risk factors, risk assessment and early rehabilitation of ICU-AW, and focuses on the timing, content, method and safety assessment of early rehabilitation, aims to improve the understanding of ICU-AW, strengthen the prevention of sepsis with ICU-AW, and improve the prognosis of sepsis patients, not only survive, but also live better.
Humans ; Sepsis/complications* ; Muscle Weakness/etiology* ; Intensive Care Units ; Prognosis ; Quality of Life

OBJECTIVE: To investigate the potential mechanisms of sepsis pathogenesis in intensive care unit (ICU), with a specific focus on the role of skin microbiota, and to evaluate the causal relationships between skin microbiota and ICU sepsis using Mendelian randomization (MR). METHODS: A two-sample MR analysis was performed using skin microbiota genome-wide association study (GWAS) summary data from German population cohorts as exposures, combined with ICU sepsis susceptibility and 28-day mortality GWAS summary data from the IEU OpenGWAS database as outcomes. The primary causal effect estimates were generated using the inverse variance weighted (IVW) method, supplemented by validation through MR-Egger and weighted median approaches. Heterogeneity and pleiotropy tests, along with sensitivity analyses, were conducted to evaluate the robustness of the results. RESULTS: Regarding risk of ICU sepsis, IVW analysis showed that order Pseudomonadales [odds ratio (OR) = 0.93, 95% confidence interval (95%CI) was 0.88-0.98], family Flavobacteriaceae (OR = 0.93, 95%CI was 0.90-0.96), and genus Acinetobacter (OR = 0.96, 95%CI was 0.93-0.99) were significantly negatively correlated with the risk of ICU sepsis (all P < 0.05). There was a significant positive correlation between the risk of ICU sepsis and the presence of β-Proteobacteria (OR = 1.05, 95%CI was 1.00-1.11) and Actinobacteria (OR = 1.05, 95%CI was 1.00-1.11), both P < 0.05. Regarding 28-day mortality of ICU sepsis, IVW analysis showed that phylum Bacteroidetes (OR = 0.92, 95%CI was 0.86-0.99), family Streptococcaceae (OR = 0.92, 95%CI was 0.85-0.98), family Flavobacteriaceae (OR = 0.90, 95%CI was 0.83-0.97), genus Streptococcus (OR = 0.92, 95%CI was 0.86-0.99), ASV016 [Enhydrobacter] (OR = 0.92, 95%CI was 0.87-0.98), and ASV042 [Acinetobacter] (OR = 0.92, 95%CI was 0.88-0.97) were significantly negatively correlated with the 28-day mortality of ICU sepsis (all P < 0.05); family Moraxellaceae (OR = 1.09, 95%CI was 1.00-1.18) and ASV008 [Staphylococcus] (OR = 1.08, 95%CI was 1.03-1.14) was significantly positively correlated with the 28-day mortality of ICU sepsis (both P < 0.05). Sensitivity analysis and MR-PRESSO showed no heterogeneity, pleiotropy, or horizontal pleiotropy between skin microbiota and ICU sepsis risk and 28-day mortality rate. Analysis of confounding factors showed that single nucleotide polymorphisms (SNPs) associated with relevant skin bacteria could independently and causally affect the risk of ICU sepsis or ICU sepsis related mortality rate, independent of other confounding factors. The Steiger test results indicated that the established causal relationship was not due to reverse causality. CONCLUSIONS Skin microbiota composition may influence both sepsis susceptibility and 28-day mortality in ICU settings. Family Flavobacteriaceae demonstrated protective effects against sepsis onset and mortality. These findings provide new perspectives for early detection and management strategies.
Humans ; Sepsis/mortality* ; Intensive Care Units ; Mendelian Randomization Analysis ; Microbiota ; Skin/microbiology* ; Genome-Wide Association Study ; Risk Factors ; Skin Microbiome

To develop a milestone-based evaluation system for the core "knowledge and skills" competency of neurology residents that is tailored to China's medical context, so as to provide precise guidance for their training and assessment.

Objective Low-density lipoprotein cholesterol(LDL-C)is causally associated with atherosclerotic cardiovascular disease(ASCVD).Proprotein convertase subtilisin/kexin type 9(PCSK9)increases the degradation of low-density lipoprotein receptor(LDL-R),thereby promoting lipid accumulation.This study investigated the mechanism of microRNA(miRNA)-125a-5p in regulating PCSK9 transcriptional expression and lipid accumulation through histone deacetylase sirtuin 6(SIRT6)-mediated histone acetylation.Methods RAW264.7 macrophages exposed to oxidized low-density lipoprotein(ox-LDL)were used to establish a macrophage lipid accumulation model.The cells were divided into eight groups:control group(Group A),ox-LDL group(Group B),SIRT6 agonist group(Group C),si-SIRT6 group(Group D),miR-125a-5p mimic group(Group E),miR-125a-5p mimic negative control group(Group F),miR-125a-5p inhibitor group(Group G),and miR-125a-5p inhibitor negative control group(Group H).Oil red O staining was used to verify lipid ac-cumulation in macrophages.Real-time fluorescent quantitative polymerase chain reaction(PCR)was employed to detect the gene expression levels of miR-125a-5p,SIRT6 and PCSK9.Western blotting was used to detect the protein expression levels of SIRT6,histone 3 lysine 9 acetylation(H3K9ac),histone 3(H3),and PCSK9.An LDL-C kit was used to measure cellular LDL-C con-tent.Results Compared with Group A,Group B exhibited increased relative gene expression of miR-125a-5p,decreased relative SIRT6 gene and its protein expression,increased H3K9ac/H3 rati-o,increased relative gene and protein expression of PCSK9,and elevated LDL-C levels,with statis-tically significant differences(P＜0.01).In Group B,a positive correlation was observed between H3K9ac and PCSK9 protein expression(r=0.935 0,P＜0.01),as well as between PCSK9 and LDL-C(r=0.981 3,P＜0.01).Compared with Group B,Group C showed no significant change in miR-125a-5p expression(P＞0.05),but increased relative SIRT6 gene and its protein expres-sion,decreased H3K9ac/H3 ratio,decreased relative gene and protein expression of PCSK9,and reduced LDL-C levels(P＜0.01).In contrast,Group D,compared with Group B,had no signifi-cant change in miR-125a-5p gene expression(P＞0.05),but decreased relative gene and protein expression of SIRT6,increased H3K9ac/H3 ratio,increased relative PCSK9 gene and its protein expression,and elevated LDL-C levels(P＜0.05 or P＜0.01).Group E,compared with Group B,showed increased relative gene expression of miR-125a-5p,decreased relative SIRT6 gene and its protein expression,increased H3K9ac/H3,increased relative PCSK9 gene and its protein ex-pression,and elevated LDL-C levels(P＜0.01).Group G,compared with Group B,had de-creased relative gene expression of miR-125a-5p,increased relative gene and protein expression of SIRT6,decreased H3K9ac/H3 ratio,decreased relative PCSK9 gene and protein expression,and reduced LDL-C levels(P＜0.01).No significant changes were observed in miR-125a-5p,SIRT6,H3K9ac/H3 ratio,PCSK9,or LDL-C levels in Groups F and H compared with Group B(P＞0.05).Conclusion Epigenetics is an important regulatory mechanism in the development of ather-osclerosis(AS).Elevated LDL-C is a significant risk factor for AS,and increased PCSK9 expres-sion exacerbates lipid accumulation.Imbalance in histone acetylation is a novel mechanism involved in PCSK9-mediated lipid accumulation,potentially serving as an early detection marker for lipid me-tabolism disorders.SIRT6 acts as a protective factor by reversibly regulating PCSK9 transcriptional expression,reducing lipid accumulation,and delaying AS progression.MiR-125a-5p,as an up-stream regulatory gene of SIRT6,targets and inhibits SIRT6 transcription,thereby modulating his-tone acetylation,and may serve as a new target for early screening and prevention of dyslipidemia.

To explore the effectiveness of "near peer learning" (NPL) in the electromyography(EMG)teaching module for neurology residents.

Resident training is a necessary path to cultivate excellent clinical doctors. Based on the Consensus on Core Competency Framework for Residency Education Among China Consortium of Elite Teaching Hospitals for Residency Education, Department of Neurology from Peking Union Medical College Hospital has established a training program for neurology residents with a graded evaluation system and a progressive clinical responsibility concept guided by core competency. Overcoming the teaching difficulties of neurology and considering the clinical characteristics of neurology, we have established a series of replicable and promotable neurology residency training curriculum through inheritance and innovation, which provides reference for the continuous improvement of China's neurology residency training program.

Objective:To investigate the diagnostic value of an intelligent assisted grading algorithm for nuclear cataract using anterior segment optical coherence tomography (AS-OCT) images.Methods:A diagnostic test study was conducted.AS-OCT image data were collected from 939 cases of 1 608 eyes of nuclear cataract patients at the Shanghai Tenth People's Hospital of Tongji University from November 2020 to September 2021.The data were obtained from the electronic case system and met the requirements for clinical reading clarity.Among them, there were 398 cases of 664 male eyes and 541 cases of 944 female eyes.The ages of the patients ranged from 18 to 94 years, with a mean age of (65.7±18.6) years.The AS-OCT images were labelled manually from one to six levels according to the Lens Opacities Classification System Ⅲ (LOCS Ⅲ grading system) by three experienced clinicians.This study proposed a global-local cataract grading algorithm based on multi-level ranking, which contains five basic binary classification global local network (GL-Net).Each GL-Net aggregates multi-scale information, including the cataract nucleus region and original image, for nuclear cataract grading.Based on ablation test and model comparison test, the model's performance was evaluated using accuracy, precision, sensitivity, F1 and Kappa, and all results were cross-validated by five-fold.This study adhered to the Declaration of Helsinjki and was approrved by Shanghai Tenth People's Hospital of Tongji University (No.21K216).Results:The model achieved the results with an accuracy of 87.81%, precision of 88.88%, sensitivity of 88.33%, F1 of 88.51%, and Kappa of 85.22% on the cataract dataset.The ablation experiments demonstrated that ResNet18 combining local and global features for multi-level ranking classification improved the accuracy, recall, specificity, F1, and Kappa metrics.Compared with ResNet34, VGG16, Ranking-CNN, MRF-Net models, the performance index of this model were improved.Conclusions:The deep learning-based AS-OCT nuclear cataract image multi-level ranking classification algorithm demonstrates high accuracy in grading cataracts.This algorithm may help ophthalmologists in improving the diagnostic accuracy and efficiency of nuclear cataract.