Neurocritical care involves complex pathophysiological mechanisms, and its incidence is higher, injuries are more severe, and treatment is more challenging in high-altitude environments. This consensus, based on the latest domestic and international evidence-based medical data, establishes a standardized, goal-oriented framework for neurocritical care management applicable in high-altitude regions and nationwide. The consensus was developed following international standards for evidence quality assessment and underwent two rounds of Delphi expert consultation, resulting in 32 recommendation statements covering three parts: management systems, monitoring and assessment, and core strategies. Key updates include: advocating for the establishment of independent neurocritical care units and implementing precise tiered diagnosis and treatment based on the "Five Differences in Critical Care" concept; constructing a "trinity" multimodal brain monitoring system centered on cerebral blood flow, cerebral oxygenation, and brain function, emphasizing routine bedside transcranial Doppler ultrasound, cerebral oximetry, and continuous electroencephalography monitoring; shifting management strategies from mild hypothermia therapy to targeted temperature management, and defining the "446" target management pathway for the supercritical stage; emphasizing the assessment of static and dynamic cerebrovascular autoregulation functions through multimodal methods to achieve individualized optimal mean arterial pressure management; elevating cerebrospinal fluid management goals to the level of "glymphatic system" function maintenance; implementing a multidisciplinary collaborative, whole-process management model focusing on patients' long-term neurological functional outcomes; de-escalation criteria include multidimensional indicators such as recovery of brain structure, restoration of cerebrovascular autoregulation, improvement in cerebrospinal fluid dynamics, and reduction in biomarker levels; and integrating cutting-edge technologies like artificial intelligence into post-critical care management and rehabilitation planning. This consensus systematically integrates the entire process of neurocritical care management, reflecting the modern connotation of goal-oriented, dynamic, and multimodal integration in neurocritical care medicine. It aims to adapt to new trends such as deepening understanding of pathophysiological mechanisms, the integration of medicine and engineering, and the empowerment of artificial intelligence, thereby further advancing the discipline of critical care medicine.

Forsythia suspensa is a traditional Chinese medicine and a commonly used landscaping plant. Its dried fruit is used in medicine for its functions of clearing heat, removing toxins, reducing swelling, dissipating masses, and dispersing wind and heat. It possesses extremely high medicinal and economic value. However, the genetic differentiation and diversity of its wild populations remain unclear. In this study, chloroplast genome sequences were obtained from 15 wild individuals of F. suspensa using high-throughput sequencing technology. The sequence characteristics and intraspecific variations were analyzed. The results were as follows:(1) The full length of the F. suspensa chloroplast genome ranged from 156 184 to 156 479 bp, comprising a large single-copy region, a small single-copy region, and two inverted repeat regions. The chloroplast genome encoded a total of 132 genes, including 87 protein-coding genes, 37 tRNA genes, and 8 rRNA genes.(2) A total of 166-174 SSR loci, 792 SNV loci, and 63 InDel loci were identified in the F. suspensa chloroplast genome, indicating considerable genetic variation among individuals.(3) Population structure analysis revealed that F. suspensa could be divided into five or six groups. Both the population structure analysis and phylogenetic reconstruction results indicated significant genetic variation within the wild populations of F. suspensa, with no obvious correlation between intraspecific genetic differentiation and geographical distribution. This study provides new insights into the genetic diversity and differentiation within F. suspensa species and offers additional references for the conservation of species diversity and the utilization of germplasm resources in wild F. suspensa.
Genome, Chloroplast ; Forsythia/classification* ; Phylogeny ; Genetic Variation ; Chloroplasts/genetics* ; Microsatellite Repeats

OBJECTIVE: To compare clinical effect of arthroscopic double row fixation and single row fixation in treating Ideberg typeⅠA scapular glenoid fracture. METHODS: From June 2018 to December 2022, 26 patients with Ideberg typeⅠA scapular glenoid fracture treated with shoulder arthroscopy were divided into single-row anchor group and double-row anchor group according to the fixation method of fracture block. There were 12 patients in single-row anchor group, including 7 males and 5 females, aged from 25 to 53 years old with an average of (38.42±9.61) years old;the time from injury to operation ranged from 2 to 7 days with an average of (4.75±1.82) days. There were 14 patients in double-row anchor group, including 10 males and 4 females, aged from 21to 53 years old with an average of (37.36±10.19) years old;the time from injury to operation ranged from 1 to 8 days with an average of (4.21±2.01) days. The changes of shoulder joint flexion, abduction, lateral lateral rotation, Constant-Murley shoulder function score and Rowe scores were compared between two groups before operation and 1 year after operation. The percentage of bone mass in pelvis area before operation and the percentage of bone defect in pelvis area at the latest follow-up were compared between two groups. RESULTS: All patients were followed up for 12 to 15 months with an average of (13.08±1.17) months in single-row anchor group and 12 to 15 months with an average of (13.29±1.07) months in double-row anchor group, with no statistical significance between two groups (P>0.05). The results of anterior flexion, abduction and lateral lateral rotation in single-row anchor group were(86.67±6.62) °, (79.50±5.68) °, (38.17±1.70) ° before operation, and (162.50±4.52)°, (169.17±3.35)°, (50.67±10.20)° at 1 year after operation; while in double-row anchor group were (84.14±5.48) °, (81.71±5.20) °, (39.29±3.63) ° before operation and (162.29 ± 5.53) °, (167.14±3.61) °, (56.93±9.56) ° at 1 year after operation;the difference between two groups before operation and 1 year after operation was statistically significant (P<0.05). There were no significant difference between two groups (P>0.05). Constant-Murley scores and Rowe scores in single-row anchor group were (55.42±3.75), (43.75±18.49) before operation and (94.83±2.21), (95.42±4.50) at 1 year after operation, respectively;while in double-row anchor group were (54.50±7.88), (41.79±18.25) before operation and (94.36±4.73), (95.00±4.80) at 1 year after operation;there was no significant difference in Constant-Murley score and Rowe score between two groups before operation and 1 year after operation (P>0.05). There was significant difference in the percentage of bone mass in pelvis area between two groups before operation (P>0.05). There was no significant difference in the percentage of bone defect in the shoulder area between single-row anchor group(4.42±1.51)% and double-row anchor group (2.71±1.44)% at 1 year after operation (P<0.05). CONCLUSION Both single and double row fixation techniques for the treatment of Ideberg typeⅠA scapular glenoid fracture could receive satisfactory functional recovery. However, double-row fixation has more advantages in reducing bone resorption of fracture mass.
Humans ; Female ; Male ; Middle Aged ; Arthroscopy/methods* ; Adult ; Scapula/surgery* ; Case-Control Studies ; Fractures, Bone/physiopathology* ; Fracture Fixation, Internal/methods* ; Shoulder Joint/physiopathology* ; Range of Motion, Articular

Objective:To investigate the molecular characteristics and clinical heterogeneity of Usher syndrome（USH） -related gene variants in patients with hereditary hearing loss in southwest China, providing a basis for early diagnosis and clinical management. Methods:Thirteen patients from twelve families with hearing loss who attended the Affiliated Children's Hospital of Kunming Medical University between January 2017 and March 2021 were enrolled. All patients were identified as carrying USH-related gene variants through next-generation sequencing. Sanger sequencing was performed for all patients and their parents to validate the pathogenic variants. Comprehensive clinical evaluations, including medical history collection, otologic and ophthalmologic examinations, and vestibular function assessments, were conducted. Results:Among the 13 patients, 4 were diagnosed with USH type 1 and 2 with USH type 2. A total of 19 pathogenic or likely pathogenic variants were detected in USH-related genes, including MYO7A,CDH23,USH1C, and USH2A. The causative gene was MYO7A in 3 probands, CDH23 in 5, USH1C in 3, and USH2Ain 2. All patients exhibited an autosomal recessive inheritance pattern. Vestibular dysfunction was observed in 4 patients, and retinitis pigmentosa（RP） in 3 patients. Based on the genotype-phenotype correlation, 6 patients were initially diagnosed with USH, while 7 were classified as having non-syndromic hearing loss（NSHL）. Conclusion:This study revealed the clinical heterogeneity of USH-related gene variants in patients with hereditary deafness in southwest China. Although the clinical manifestations of USH are complex and there are overlapping characteristics between different subtypes, genetic testing provides an important basis for early diagnosis and precise clinical management. Especially for those with typical hearing loss, early genetic diagnosis can provide a window of time for early detection and intervention of retinitis pigmentosa.
Humans ; Usher Syndromes/genetics* ; Myosin VIIa ; Phenotype ; Male ; Female ; Myosins/genetics* ; Mutation ; Cadherins/genetics* ; Child ; Extracellular Matrix Proteins/genetics* ; Adolescent ; Pedigree ; High-Throughput Nucleotide Sequencing ; Cadherin Related Proteins ; Cytoskeletal Proteins ; Cell Cycle Proteins

Rheumatoid arthritis (RA) is a chronic autoimmune disease characterized by persistent inflammation and joint damage, accompanied by the accumulation of plasma cells, which contributes to its pathogenesis. Understanding the genetic alterations occurring during plasma cell differentiation in RA can deepen our comprehension of its pathogenesis and guide the development of targeted therapeutic interventions. Here, our study elucidates the intricate molecular mechanisms underlying plasma cell differentiation by demonstrating that PRDX1 interacts with DOK3 and modulates its degradation by the autophagy-lysosome pathway. This interaction results in the inhibition of plasma cell differentiation, thereby alleviating the progression of collagen-induced arthritis. Additionally, our investigation identifies Salvianolic acid B (SAB) as a potent small molecular glue-like compound that enhances the interaction between PRDX1 and DOK3, consequently impeding the progression of collagen-induced arthritis by inhibiting plasma cell differentiation. Collectively, these findings underscore the therapeutic potential of developing chemical stabilizers for the PRDX1-DOK3 complex in suppressing plasma cell differentiation for RA treatment and establish a theoretical basis for targeting PRDX1-protein interactions as specific therapeutic targets in various diseases.

Osteoporosis is a prevalent skeletal condition characterized by reduced bone mass and strength, leading to increased fragility. Buqi-Tongluo (BQTL) decoction, a traditional Chinese medicine (TCM) prescription, has yet to be fully evaluated for its potential in treating bone diseases such as osteoporosis. To investigate the mechanism by which BQTL decoction inhibits osteoclast differentiation in vitro and validate these findings through in vivo experiments. We employed MTS assays to assess the potential proliferative or toxic effects of BQTL on bone marrow macrophages (BMMs) at various concentrations. TRAcP experiments were conducted to examine BQTL's impact on osteoclast differentiation. RT-PCR and Western blot analyses were utilized to evaluate the relative expression levels of osteoclast-specific genes and proteins under BQTL stimulation. Finally, in vivo experiments were performed using an osteoporosis model to further validate the in vitro findings. This study revealed that BQTL suppressed receptor activator of NF-κB ligand (RANKL)-induced osteoclastogenesis and osteoclast resorption activity in vitro in a dose-dependent manner without observable cytotoxicity. The inhibitory effects of BQTL on osteoclast formation and function were attributed to the downregulation of NFATc1 and c-fos activity, primarily through attenuation of the MAPK, NF-κB, and Calcineurin signaling pathways. BQTL's inhibitory capacity was further examined in vivo using an ovariectomized (OVX) rat model, demonstrating a strong protective effect against bone loss. BQTL may serve as an effective therapeutic TCM for the treatment of postmenopausal osteoporosis and the alleviation of bone loss induced by estrogen deficiency and related conditions.
Animals ; NFATC Transcription Factors/genetics* ; Drugs, Chinese Herbal/pharmacology* ; Ovariectomy ; Osteoclasts/metabolism* ; Female ; Osteogenesis/drug effects* ; Rats, Sprague-Dawley ; Rats ; NF-kappa B/genetics* ; Osteoporosis/genetics* ; Signal Transduction/drug effects* ; Bone Resorption/genetics* ; Cell Differentiation/drug effects* ; Humans ; RANK Ligand/metabolism* ; Mitogen-Activated Protein Kinases/genetics* ; Transcription Factors

Objective To investigate the effects of liraglutide on the gut microbiota of db/db diabetic mice and the predictive value of the microbial structure for the hypoglycemic efficacy.Methods The db/db mice were randomly divided into control group and liraglutide group(0.4 μg/g).Fasting blood glucose levels were measured in the mice,and fecal samples were collected to determine the structure of the gut microbiota.Results Compared with the control group,the liraglutide group exhibi-ted a significant increase in the average number of operational taxonomic unit(OTU)(P＜0.01).The number of observed species,Chao1 index and ACE index were all significantly higher in the liraglutide group than those in the control group(P＜0.05).Additionally,the liraglutide group showed a signifi-cant increase in the relative abundance of Firmicutes and a significant decrease in the abundance of Actinobacteria compared with the control group(P＜0.01).The percentage decrease in blood glucose levels in db/db mice was positively correlated with the abundance of Pseudomonadaceae and negatively correlated with the abundances of Clostridiaceae and Peptostreptococcaceae.Conclusion Liraglutide treatment can modulate the structure of the gut microbiota,increasing the number of OTU and diversity,particularly enhancing the abundance of beneficial bacteria such as Clostridium,Lachnospira and Oscillospira.The gut microbiota structure in mice serves as a predictive factor for the hypoglycemic efficacy of liraglutide,with diabetic mice exhibiting a higher abundance of Pseudomonas being more likely to benefit from liraglutide-induced hypoglycemic therapy.

Objective:To construct an early prediction model for post cardiopulmonary resuscitation-acute kidney injury (PCPR-AKI) by machine learning and provide a basis for early identification of acute kidney injury (AKI) high-risk patients and accurate treatment.Methods:It was a single-center retrospective study. The clinical data of patients admitted to Tianjin Medical University General Hospital after cardiopulmonary resuscitation following cardiac arrest from January 1, 2016 to October 31, 2023 were collected. The end-point event of the study was defined as AKI occurring within 48 hours after cardiopulmonary resuscitation. The patients were divided into AKI group and non-AKI group according to the AKI diagnostic criteria, and the differences of baseline clinical data between the two groups were compared. The patients who met the inclusion criteria were randomly (using the train_test_split function, set the random seeds to 1, 2, and 3) divided into training and validation sets at a ratio of 7∶3. Random forest (RF), support vector machine, decision tree, extreme gradient boosting and light gradient boosting machine algorithm were used to develop the early prediction model of PCPR-AKI. The receiver-operating characteristic curve and decision curve analysis were used to evaluate the performance and clinical practicality of the predictive models, and the importance of variables in the optimal model was screened and ranked.Results:A total of 547 patients were enrolled, with age of 66 (59, 70) years old and 282 males (51.6%). There were 238 patients (43.5%) having incidence of AKI within 48 hours after cardiopulmonary resuscitation. In the AKI group, 182 patients (76.5%) were in stage 1, 47 patients (19.7%) were in stage 2, and 9 patients (3.8%) were in stage 3. There were statistically significant differences in the age, time to reach resuscitation of spontaneous circulation, time from cardiac arrest to starting cardiopulmonary resuscitation, proportion of initial defibrillation rhythm, proportion of electric defibrillation, proportion of mechanical ventilation, adrenaline dosage, sodium bicarbonate dosage, proportion of coronary heart disease, proportion of hypertension, proportion of diabetes, serum creatinine, blood urea nitrogen, blood lactic acid, blood potassium, brain natriuretic peptide, troponin, D-dimer, neuron specific enolase, and 24 hours urine volume after cardiopulmonary resuscitation between AKI group and non-AKI group (all P<0.05). Among the five machine learning algorithms, RF model achieved the best performance and clinical practicality, with area under the curve of 0.875, sensitivity of 0.863, specificity of 0.956, and accuracy rate of 90.7%. In the variable importance ranking of RF model, the top 10 variables were as follows: time to reach resuscitation of spontaneous circulation, time from cardiac arrest to starting cardiopulmonary resuscitation, initial defibrillable rhythm, serum creatinine, mechanical ventilation, blood lactate acid, adrenaline dosage, brain natriuretic peptide, D-dimer and age. Conclusions:An early predictive model for PCPR-AKI is successfully constructed based on machine learning. RF model has the best predictive performance. According to the importance of the variables, it can provide clinical strategies for early identification and precise intervention for PCPR-AKI.

Objective To analyze the epidemiological characteristics of population-based cohort of patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in Lingnan area,and to study the related influencing factors in the onset and progression of the disease. Methods A retrospective cohort study was used to collect data from people who underwent physical examination in the Eleventh People's Hospital of Guangzhou from May 2022 to December 2023. Data mainly included questionnaire surveys,physical examinations,and laboratory testing indicators. The 2022 was defined as the baseline to statistically analyze the occurrence and development of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes in this population,and to analyze the related influencing factors of comorbidity and distribution of traditional Chinese medicine constitution in comorbidity population. Results Finally,a total of 26498 subjects were included,from which there were 359 patients with the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes (comorbidity group),accounting for 1.4％ of the total. Among them,290 were male,accounting for 80.8％,which is much higher than female. The mean age was(61.6±9.5)years old,which was significantly higher than that of the non-comorbidity group. The cases of comorbidity group were mainly concentrated in the age group of 45-75 years old,and no cases were found in people under 35 years old. There were 293 patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes,whose proportion (81.6％) is much higher than that of other types. Significant differences between comorbidity group and non-comorbidity group were found in terms of gender,age,age distribution,height,body mass,body mass index (BMI),smoking,alcohol consumption,marital status,exercise,and dampness syndrome (P<0.05). About 1.0％ of population at the baselined converted from non-comorbidities or single disease to comorbidities. The proportion of newly diagnosed patients with the comorbidity of ischemic cardiovascular disease and type 2 diabetes is the highest,up to 68.9％. BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and exercise were the risk factors affecting the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes. A total of 264 cases of comorbidity group had finished evaluation of traditional Chinese medicine body constitutions. The proportion of balanced constitution was the highest (31.1％),followed by dampness-heat constitution (18.2％),yang-deficiency constitution (13.3％) and phlegm-dampness constitution (11.7％). Conclusion The incidence of the comorbidity of cardiovascular and cerebrovascular diseases and type 2 diabetes is high in Lingnan area,which may be related to dampness constitution,BMI overweight or obesity,large waist circumference,smoking,dampness syndrome and lack of exercise.

Objective To construct a three-dimensional statistical shape model of the pelvis and analyze the individual variation and gender differences of the three-dimensional shape of the pelvis.Methods We collected CT data from 201 Chinese individuals and used deep learning to automatically reconstruct three-dimensional models of the pelvis.Through three-dimensional model registration,dense correspondence mesh mapping,and the use of statistical shape modelling(SSM)and principal component(PC)analysis method,we extracted models of variations(MoV)of pelvic shape changes and statistically compared the shape MoV between males and females.Results We analysed the top 10 principal components of shape variations,which accounted for 86.1％of the total variability.Among them,PC01,PC02,and PC04 showed significant differences between genders(P＜0.001),accounting for a total variability of 60.1％.PC08 and PC 10 demonstrated pelvic asymmetry,accounting for a total variability of 3.8％.Conclusion We constructed a three-dimensional statistical shape model of the pelvis in Chinese individuals,revealing the morphological variation and sex differences of Chinese pelvis.