Disorders of consciousness (DOC) are pathological conditions characterized by severely suppressed brain function and the persistent interruption or loss of consciousness. Accurate diagnosis and evaluation of DOC are prerequisites for precise treatment. Traditional assessment methods are primarily based on behavioral scales, which are inherently subjective and rely on observable behaviors. Moreover, traditional methods have a high misdiagnosis rate, particularly in distinguishing minimally conscious state (MCS) from vegetative state/unresponsive wakefulness syndrome (VS/UWS). This diagnostic uncertainty has driven the exploration of objective, reliable, and efficient assessment tools. Among these tools, electroencephalography (EEG) has garnered significant attention for its non-invasive nature, portability, and ability to capture real-time neurodynamics. This paper systematically reviews the application of EEG biomarkers in DOC assessment. These biomarkers are categorized into 3 main types: resting-state EEG features, task-related EEG features, and features derived from transcranial magnetic stimulation-EEG (TMS-EEG). Resting-state EEG biomarkers include features based on spectrum, microstates, nonlinear dynamics, and brain network metrics. These biomarkers provide baseline representations of brain activity in DOC patients. Studies have shown their ability to distinguish different levels of consciousness and predict clinical outcomes. However, because they are not task-specific, they are challenging to directly associate with specific brain functions or cognitive processes. Strengthening the correlation between resting-state EEG features and consciousness-related networks could offer more direct evidence for the pathophysiological mechanisms of DOC. Task-related EEG features include event-related potentials, event-related spectral modulations, and phase-related features. These features reveal the brain’s responses to external stimuli and provide dynamic information about residual cognitive functions, reflecting neurophysiological changes associated with specific cognitive, sensory, or behavioral tasks. Although these biomarkers demonstrate substantial value, their effectiveness rely on patient cooperation and task design. Developing experimental paradigms that are more effective at eliciting specific EEG features or creating composite paradigms capable of simultaneously inducing multiple features may more effectively capture the brain activity characteristics of DOC patients, thereby supporting clinical applications. TMS-EEG is a technique for probing the neurodynamics within thalamocortical networks without involving sensory, motor, or cognitive functions. Parameters such as the perturbational complexity index (PCI) have been proposed as reliable indicators of consciousness, providing objective quantification of cortical dynamics. However, despite its high sensitivity and objectivity compared to traditional EEG methods, TMS-EEG is constrained by physiological artifacts, operational complexity, and variability in stimulation parameters and targets across individuals. Future research should aim to standardize experimental protocols, optimize stimulation parameters, and develop automated analysis techniques to improve the feasibility of TMS-EEG in clinical applications. Our analysis suggests that no single EEG biomarker currently achieves an ideal balance between accuracy, robustness, and generalizability. Progress is constrained by inconsistencies in analysis methods, parameter settings, and experimental conditions. Additionally, the heterogeneity of DOC etiologies and dynamic changes in brain function add to the complexity of assessment. Future research should focus on the standardization of EEG biomarker research, integrating features from resting-state, task-related, and TMS-EEG paradigms to construct multimodal diagnostic models that enhance evaluation efficiency and accuracy. Multimodal data integration (e.g., combining EEG with functional near-infrared spectroscopy) and advancements in source localization algorithms can further improve the spatial precision of biomarkers. Leveraging machine learning and artificial intelligence technologies to develop intelligent diagnostic tools will accelerate the clinical adoption of EEG biomarkers in DOC diagnosis and prognosis, allowing for more precise evaluations of consciousness states and personalized treatment strategies.

Objective: Based on spinopelvic parameters and biomechanical principles, the pedicle-facet joint (PFJ) morphological characteristics of isthmic and degenerative spondylolisthesis were analyzed, and the mechanism of their onset and progression was discussed. Methods: This retrospective cross-sectional study included 194 patients with L5 spondylolysis or L5–S1 low-grade isthmic spondylolisthesis (IS group), 172 patients with L4–5 degenerative spondylolisthesis (DS group), and 366 patients with nonlumbar spondylolysis (NL group). The spinopelvic parameters and PFJ morphological parameters of the patients were measured, the differences in these parameters among and within the 3 groups were compared, and the correlations were analyzed. Results: Sacral slope (SS) and lumbar lordosis (LL) were the highest in the IS group, the second highest in the DS group, and the lowest in the NL group. Among the 3 groups, the L4 facet joint angle (FJA) was the largest in the IS group, the second largest in the NL group, and the smallest in the DS group. The L4 pedicle-facet joint angle (PFA) was the largest in the DS group, the second largest in the IS group, and the smallest in the NL group. Pearson correlation analysis showed that within each group, SS and LL were negatively correlated with FJA and positively correlated with PFA. Conclusion This study found a correlation between the PFJ morphological characteristics of patients with lumbar spondylolisthesis and spinopelvic parameters, suggesting that the morphological characteristics of PFJs may be caused by varying stresses under different spinopelvic morphologies.

Objective: Based on spinopelvic parameters and biomechanical principles, the pedicle-facet joint (PFJ) morphological characteristics of isthmic and degenerative spondylolisthesis were analyzed, and the mechanism of their onset and progression was discussed. Methods: This retrospective cross-sectional study included 194 patients with L5 spondylolysis or L5–S1 low-grade isthmic spondylolisthesis (IS group), 172 patients with L4–5 degenerative spondylolisthesis (DS group), and 366 patients with nonlumbar spondylolysis (NL group). The spinopelvic parameters and PFJ morphological parameters of the patients were measured, the differences in these parameters among and within the 3 groups were compared, and the correlations were analyzed. Results: Sacral slope (SS) and lumbar lordosis (LL) were the highest in the IS group, the second highest in the DS group, and the lowest in the NL group. Among the 3 groups, the L4 facet joint angle (FJA) was the largest in the IS group, the second largest in the NL group, and the smallest in the DS group. The L4 pedicle-facet joint angle (PFA) was the largest in the DS group, the second largest in the IS group, and the smallest in the NL group. Pearson correlation analysis showed that within each group, SS and LL were negatively correlated with FJA and positively correlated with PFA. Conclusion This study found a correlation between the PFJ morphological characteristics of patients with lumbar spondylolisthesis and spinopelvic parameters, suggesting that the morphological characteristics of PFJs may be caused by varying stresses under different spinopelvic morphologies.

Objective To explore the polymorphism of tyrosinase (TYR) and melanocortin 1 receptor (MC1R) genes and their mRNA expression levels in relation to coat-color phenotypes in guinea pigs, providing genetic markers for locating dominant traits in guinea pigs. Methods A total of 57 self-bred ordinary-level guinea pigs were selected and divided into three groups based on coat color: white (n=22), variegated (n=22) and black (n=13). The guinea pigs were euthanized with an overdose of pentobarbital sodium via intraperitoneal injection. DNA was then extracted from the dorsal skin tissue. Polymorphism in the coding sequence (CDS) of the exons of the TYR and MC1R genes in each group was detected by cloning and sequencing. The mRNA expression of the two genes in skin tissues was detected by real-time fluorescent quantitative PCR to investigate the relationship between these genes and guinea pig coat color. Results A single nucleotide polymorphism (SNP) site was found in the CDS region of TYR exon Ⅰ, where the base A was replaced by G. All white guinea pigs had the G/G genotype for TYR, while no deep-colored (variegated and black) guinea pigs exhibited the G/G genotype for TYR. Most deep-colored guinea pigs had the A/A genotype, and a few had A/G genotype. The A/A genotype frequency in black guinea pigs was higher than in variegated guinea pigs. A 2 760 bp sequence deletion was identified in the exon of the MC1R gene, marked as the - gene, with non-deleted samples marked as N gene. Most white guinea pigs had the -/- genotype for MC1R, variegated guinea pigs mainly had the -/N genotype, and black guinea pigs mainly had the N/N genotype, with a few showing the -/N. The TYR gene expression level was higher in white guinea pigs, lower in variegated guinea pigs, and intermediate in black guinea pigs, but there was no significant difference among the three groups (P>0.05). The MC1R gene expression level in white guinea pigs was extremely low, while both variegated and black guinea pigs showed significantly higher levels than white guinea pigs (P<0.01). Black guinea pigs showed significantly higher levels than variegated guinea pigs (P<0.05). ConclusionThe TYR and MC1R genes synergistically regulate coat color of guinea pigs. The G-site mutation in the TYR gene may lead to albinism, and the change of N-site in the MC1R gene affects the depth of the coat color.

Colorectal cancer is a common and malignant tumor in the digestive tract. Invasion and metastasis of cancer cells are key factors leading to the high mortality rate and postoperative recurrence of colorectal cancer. Chemotherapy is the main treatment method for preventing recurrence of this disease. However， there are many toxic side effects in clinical application， which seriously hinder the treatment process. Therefore， it is imperative to search for efficient and low-toxicity drugs. Traditional Chinese medicine （TCM） has a long history of treating colorectal cancer and offers advantages such as safety， effectiveness， multiple targets， multiple pathways and minimal toxic side effects， which have made it increasingly popular worldwide. According to TCM， the pathogenesis of colorectal cancer is rooted in both deficiency and excess. TCM formulas mainly focus on tonifying the body to address the invasion and metastasis of colorectal cancer， such as Jianpi compound， Jianpi Xiaoai decoction， and Bushen Jiedu Sanjie decoction. TCM monomers， such as emodin， berberine， and tanshinone， mainly focus on clearing heat and removing toxin， circulating blood and transforming stasis， and resolving swelling and dispersing nodules. Signaling pathways play a crucial role for analyzing invasion and metastasis， and research has shown that pathways such as Wnt/β-catenin， phosphatidylinositol-3 kinase/protein kinase （PI3K/Akt）， Janus kinase 2/signal transduction and transcription activating factor 3 （JAK2/STAT3）， nuclear factors-κB （NF-κB）， vascular endothelial growth factor （VEGF） play important roles in the invasion and metastasis of colorectal cancer. The invasion and metastasis of colorectal cancer can be inhibited via regulating the key proteins and related factors in these pathways. In this review， we searched various literature databases， such as PubMed， China National Knowledge Infrastructure （CNKI）， and VIP， using keywords such as "colorectal cancer"， "signaling pathway"， "invasion and metastasis"， and "traditional Chinese medicine"， to summarize and analyze the relevant pathways of TCM compounds and monomers against invasion and metastasis of colorectal cancer published in the past five years. The review aims to provide new insights and references for in-depth research on the therapy for invasion and metastasis of colorectal cancer and new drug development.

Objective To investigate the screening results and factors affecting abnormal detection rates among high-risk groups of esophageal cancer and to explore effective intervention measures. Methods We investigated and collected the information on gender, education level, age, marital status, symptoms of reflux esophagitis (heartburn, acid reflux, belching, hiccup, foreign body sensation in the pharynx, and difficulty swallowing), consumption of pickled vegetables, salt use, and esophageal cancer incidence of villagers in a natural village in Wenfeng District, Anyang City, Henan Province. Changes in reflux esophagitis symptoms in the high-incidence area of esophageal cancer before and after 16 years were observed, and the relationship of such changes with esophageal cancer was analyzed. Results In 2008, 711 cases were epidemiologically investigated, including 213 cases with one of the symptoms of reflux esophagitis such as heartburn, acid reflux, belching, hiccups, foreign body sensation in the pharynx, and difficulty swallowing (sorted in accordance with the abovementioned symptoms; if there are multiple symptoms, then the former is taken); 55 cases with at least two related symptoms, among which the most symptom was heartburn in 108 cases (15.1%); followed by acid reflux, belching, etc. In 2024, the same group of people was investigated, and eight people were missing because of relocation. A total of 703 people were successfully investigated, of which 189 cases (26.8%) had one of the symptoms of reflux esophagitis, such as heartburn (sorted in accordance with relevant symptoms, if there are multiple symptoms, then the former will be selected); 167 cases (23.7%) had at least two related symptoms, among which the most symptom was heartburn in 139 cases (19.7%); followed by acid reflux. Over 16 years, among the 703 people investigated, 45 cases had esophageal cancer and they had one or more of the abovementioned symptoms. No significant differences in the reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.26); no significant differences in the composition of reflux esophagitis-like symptoms were found between 2008 and 2024 (P=0.299). Conclusion The detection rate of reflux esophagitis-related symptoms in the population in a high-risk area of esophageal cancer has not decreased in the past 16 years, and the high-risk factors still exist. Esophageal cancer is closely related to reflux esophagitis, and clinical practice can provide early diagnosis and treatment for high-risk population.

OBJECTIVE To analyze the correlation of the peak blood concentration （cmax） of compound sulfamethoxazole （TMP/SMZ） and its metabolite N-acetyl sulfamethoxazole （NSMZ） with clinical efficacy and adverse reactions in critically ill patients. METHODS The data of critically ill patients treated with TMP/SMZ in various ICU of Hainan General Hospital from December 2023 to January 2025 were retrospectively collected. The patients were divided into success group and failure group based on the treatment outcome. Simple linear regression and Spearman correlation analysis were used to analyze the correlation of TMP cmax， SMZ cmax， and NSMZ cmax with clinical efficacy and adverse reactions. The receiver operating characteristic curve （ROC） was used to determine the cutoff values of cmax for predicting the occurrence of adverse reactions. RESULTS Among critically ill patients with an acute physiology and chronic health evaluation Ⅱ （APACHE-Ⅱ） ≥15 points 24 h of check-in at ICU， SMZ cmax of success group was significantly higher than failure group （P＜0.05）. The daily total dose of TMP/SMZ was positively correlated with TMP cmax and SMZ cmax（ P＜0.05）. TMP cmax was significantly correlated with hepatotoxicity and nephrotoxicity， SMZ cmax with hepatotoxicity， and NSMZ cmax with nephrotoxicity （P＜0.05）. The cutoff values of TMP cmax for predicting nephrotoxicity and hepatotoxicity were 7.25 μg/mL and 6.63 μg/mL， respectively. The cutoff value of SMZ cmax for predicting hepatotoxicity was 138.00 μg/mL， and that of NSMZ cmax for predicting nephrotoxicity was 60.76 μg/mL. CONCLUSIONS Among critically ill patients with an APACHE-Ⅱ ≥15 points 24 h of check-in at ICU， SMZ cmax is associated with treatment success. Hepatotoxicity risk significantly increases when TMP cmax ≥6.63 μg/mL or SMZ cmax ≥138.00 μg/mL； nephrotoxicity risk significantly increases when TMP cmax ≥7.25 μg/mL or NSMZ cmax ≥60.76 μg/mL.

Objective To understand the disease spectrum of a natural village in an area with high incidence of esophageal cancer to provide a reference for precise prevention and control. Methods From 2008 to 2024, 711 asymptomatic people over the age of 35 years in a natural village with high incidence of esophageal cancer in China were surveyed, and 171 of them were subjected to gastroscopy, biopsy, and pathological examination. All participants were followed up for a long time, and their disease history was recorded. Results A total of 16 years of follow-up were performed, and 703 people were effectively followed up. In 2008, 171 people underwent gastroscopy, and 160 people had biopsy and pathological results in endoscopic screening. By 2024, 76 people had been diagnosed with malignant tumors of 12 different types, and among these people, 45 had esophageal cancer. Conclusion Esophageal cancer remains a significant cause of morbidity and mortality from malignant tumors in this region. Biopsy and pathological examination should be strengthened during gastroscopy, and follow-ups and regular check-ups should be given high importance to reduce the incidence and mortality rates of esophageal cancer.

Objective To explore the risk factors associated with the development of acute respir-atory distress syndrome(ARDS)in patients with severe traumatic brain injury(sTBI)and to construct and validate a risk prediction model for ARDS in these patients.Methods Clinical data from 371 sTBI patients admitted to Yangzhou Affiliated Hospital of Yangzhou University between January 2017 and December 2023 were retrospectively collected.Patients were randomly divided into modeling group(n=259)and validation group(n=112)at a 7-to-3 ratio.A nomogram model was constructed after screening for risk factors using the Least Absolute Shrinkage and Selection Operator(LASSO)and multivariate Logistic regression analysis.Model performance was evaluated using the receiver operating characteristic(ROC)curve,area under the curve(AUC),Hosmer-Lemeshow test,calibration curve,and deci-sion curve analysis(DCA).Results Statistically significant differences were observed in heart rate,respiratory rate,pupil size,percutaneous oxygen saturation(SpO2),Glasgow Coma Scale(GCS)score,Acute Physiology and Chronic Health Evaluation Ⅱ(APACHE Ⅱ)score,head Ab-breviated Injury Scale(AIS)score,chest AIS score,emergency intubation,pulmonary infection,associated chest trauma,midline shift,blood transfusion within 12 hours of admission,fluid intake within 24 hours of admission,shock,mechanical ventilation,hemoglobin level,hematocrit,white blood cell count,prothrombin time,international normalized ratio,total protein,albumin,serum calcium,oxygenation index,and base excess between the two groups(P＜0.05).Multivariate Lo-gistic regression analysis revealed that SpO2,pulmonary infection,and fluid intake within 24 hours of admission were predictors of ARDS in sTBI patients.The Hosmer-Lemeshow test results for the modeling and validation groups showed good fit(x2=10.373,P=0.240;x2=13.21,P=0.105).DCA results for both groups indicated net benefit at threshold probabilities ranging from 0％to 72％and 0％to 50％,respectively.Conclusion SpO2,pulmonary infection,and fluid in-take within 24 hours of admission are risk factors for ARDS in sTBI patients.The model constructed using these factors demonstrates good performance and provides a reliable tool for clinical screening of high-risk ARDS populations among sTBI patients.

Objective:To construct decision indicator system for the allocation of life-support equipment on the basis of hospital-based health technology assessment(HB-HTA)theory,and explore its application value in the management for life-support equipment.Methods:The decision indicators of the allocation of life-support equipment were formulated from four dimensions that included equipment safety,effectiveness,suitability and economy on the basis of HB-HTA theory,so as to assess and manage the decision for allocation of equipment.A total of 149 using life-support equipment in clinical work in West China Hospital of Sichuan University from January 2022 to December 2023 were selected,and expert review mode was adopted to conduct decision for allocation of 138 equipment received management for allocation from January to December 2022,and the decision indicator system for the allocation of life-support equipment on the basis of HB-HTA theory was adopted to conduct decision management for the allocation of 143 equipment(included 132 equipment received expert review mode for management of allocation)that received management for allocation from January to December 2023.The predictive assessment value for target,the achievement ratio of HB-HTA performance,the result of examination of management level of 46 personnel from clinical department,15 personnel from department of equipment,and 11 personnel from other department in items of allocation of equipment were compared between two kinds of management modes for allocation.Results:The predictive assessment values for target of the allocation items of heart-support equipment,respiratory-support equipment,anesthesia-support equipment and other support equipment which adopted HB-HTA management mode for allocation were respectively 0.65±0.22,0.68±0.16,0.70±0.15 and 0.58±0.20,which were higher all than those of management mode of expert review for allocation,and the differences were statistically significant(t=3.362,3.585,f4.152,3.247,P<0.05).The achievement ratio of average performance of safety,effectiveness,suitability and economy of allocation items of HB-HTA management mode were respectively(97.29±1.65)%,(96.19±2.08)%,(95.82±2.29)%and(94.92±2.29)%,all of which were higher than those of expert review management mode for allocation,and the differences were statistically significant(t=2.297,2.377,2.753,2.951,P<0.05).The results of the personnel who worked in clinical department,equipment department and other department were respectively(93.24±3.12)scores,(95.35±3.22)scores and(95.78±1.82)scores in adopting HB-HTA management mode for allocation to conduct examination for the management level about allocation items of life-support equipment with allocation decision,all of which were higher than those of expert review management mode for allocation,and the differences of them were statistically significant(t=3.220,2.435,2.404,P<0.05).Conclusion:The application of HB-HTA theory in indicator system of allocation decision of life-support equipment can comprehensively analyze the safety,effectiveness,suitability and economy of equipment allocation,and enhance the scientific nature of declaring project for allocation of life-support equipment,and improve the achievement degree of the target of implementing the project of the allocation of life-support equipment,and raise the business level of the management team for the project of allocation of life-support equipment.