Objective To analyze the levels of serum CTCs and ctDNA in NSCLC patients receiving first-line EGFR-TKI treatment, and to explore the clinical value of CTCs and ctDNA detection in assessing the efficacy of treatment for advanced lung cancer. Methods A total of 109 NSCLC patients receiving first-line EGFR-TKI treatment were enrolled. Serum tumor markers CEA, CTCs, and ctDNA were detected at baseline and after one month of treatment. Chest CT scans were performed, and treatment efficacy was evaluated based on RECIST1.1 criteria. CTCs were counted by enrichment-staining-computational algorithm to analyze malignant features, while ctDNA was assessed using digital PCR. Results Survival rate was low in patients with abnormal CEA and ctDNA tests at baseline and in patients with reduced serum CTCs after treatment. In the SD subgroup of patients with brain metastases and advanced stage, the PFS benefit was low. Conclusion Patients in the SD subgroup have significantly higher recurrence risks than those in the PR or CR subgroups. Therefore, CTC and ctDNA testing should be applied to patients in the SD subgroup to identify high-risk patients with poor response to EGFR-TKI treatment, intervene with additional treatment promptly, and obtain long progression-free survival.

Perceptual decision making refers to the process by which individuals make choices and judgments based on sensory information, serving as a fundamental ability for human adaptation to complex environments. While traditional research has focused on perceptual decision making in isolated contexts, growing evidence highlights the profound influence of social contexts prevalent in real-world scenarios. As a crucial factor supporting individual survival and development, social context not only provides rich information sources but also shapes perceptual decision making through top-down processing mechanisms, prompting researchers to recognize the inherently social nature of human decisions. Empirical studies have demonstrated that social information, such as others’ choices or group norms, can systematically bias individuals’ perceptual decisions, often manifesting as conformity behaviors. Social influence can also facilitate performance under certain conditions, particularly when individuals can accurately identify and adopt high-quality social information. The impact of social context on perceptual decisions is modulated by a variety of external and internal factors, including group characteristics(e.g., group size, response consistency), attributes of peers (e.g., familiarity, social status, distinctions between human and artificial agents), as well as individual differences such as confidence, personality traits, and developmental stage. The motivations driving social influence encompass three primary mechanisms: improving decision accuracy through informational influence, gaining social acceptance through normative influence, and maintaining positive self-concept. Recent computational approaches have employed diverse theoretical frameworks to provide valuable insights into the cognitive mechanisms underlying social influence in perceptual decision making. Reinforcement learning models demonstrate how social feedback shapes future choices through reward-based updating. Bayesian inference frameworks describe how individuals integrate personal beliefs with social information based on their respective reliabilities, dynamically updating beliefs to optimize decisions under uncertainty. Drift diffusion models offer powerful tools to decompose social influence into distinct cognitive components, allowing researchers to differentiate between changes in perceptual processing and shifts in decision criteria. Collectively, these models establish a comprehensive methodological foundation for disentangling the multiple pathways by which social context shapes perceptual decisions. Neuroimaging and electrophysiological studies provide converging evidence that social context influences perceptual decision making through multi-level neural mechanisms. At early perceptual processing stages, social influence modulates sensory evidence accumulation in parietal cortex and directly alters primary visual cortex activity, while guiding selective attention to stimulus features consistent with social norms through attentional alignment mechanisms. At higher cognitive levels, the reward system (ventral striatum, ventromedial prefrontal cortex) is activated during group-consistent decisions; emotion-processing networks (anterior cingulate cortex, insula, amygdala) regulate experiences of social acceptance and rejection; and mentalizing-related brain regions (dorsomedial prefrontal cortex, temporoparietal junction) support inference of others’ mental states and social information integration. These neural circuits work synergistically to achieve top-down multi-level modulation of perceptual decision making. Understanding the mechanisms by which social context shapes perceptual decision making has broad theoretical and practical implications. These insights inform the optimization of collective decision-making, the design of socially adaptive human-computer interaction systems, and interventions for cognitive disorders such as autism spectrum disorder and anorexia nervosa. Future studies should combine computational modeling and neuroimaging approaches to systematically investigate the multi-level and dynamic nature of social influences on perceptual decision making.

PURPOSE: To analyze risk factors for severe trauma and establish a nomogram for early risk prediction, to improve the early identification of severe trauma. METHODS: This study was conducted on the patients treated in 81 trauma treatment institutions in Gansu province from 2020 to 2022. Patients were grouped by year, with 5364 patients from 2020 to 2021 as the training set and 1094 newly admitted patients in 2020 as the external validation set. Based on the injury severity score (ISS), patients in the training set were classified into 2 subgroups of the severe trauma group (n = 478, ISS scores ≥25) and the non-severe trauma group (n = 4886, ISS scores <25). Univariate and binary logistic regression analyses were employed to identify independent risk factors for severe trauma. Subsequently, a predictive model was developed using the R software environment. Furthermore, the model was subjected to internal and external validation via the Hosmer-Lemeshow test and receiver operating characteristic curve analysis. RESULTS: In total, 6458 trauma patients were included in this study. Initially, this study identified several independent risk factors for severe trauma, including multiple traumatic injuries (polytrauma), external hemorrhage, elevated shock index, elevated respiratory rate, decreased peripheral oxygen saturation, and decreased Glasgow coma scale score (all p < 0.05). For internal validation, the area under the receiver operating characteristic curve was 0.914, with the sensitivity and specificity of 88.4% and 87.6%, respectively; while for external validation, the area under the receiver operating characteristic curve was 0.936, with the sensitivity and specificity of 84.6% and 93.7%, respectively. In addition, a good model fitting was observed through the Hosmer-Lemeshow test and calibration curve analysis (p > 0.05). CONCLUSION This study establishes a nomogram for early risk prediction of severe trauma, which is suitable for primary healthcare institutions in underdeveloped western China. It facilitates early triage and quantitative assessment of trauma severity by clinicians prior to clinical interventions.
Humans ; Nomograms ; Male ; Female ; Wounds and Injuries/diagnosis* ; Risk Factors ; Middle Aged ; Adult ; Injury Severity Score ; Risk Assessment ; ROC Curve ; Aged ; Logistic Models ; China ; Glasgow Coma Scale

OBJECTIVES: To investigate the chain mediating role of family care and emotional management in the relationship between social support and anxiety among rural primary school students. METHODS: A questionnaire survey was conducted among students in grades 4 to 6 from four counties in Hunan Province. Data were collected using the Social Support Rating Scale, Family Care Index Scale, Emotional Intelligence Scale, and Generalized Anxiety Disorder -7. Logistic regression analysis was used to explore the influencing factors of anxiety symptoms. Mediation analysis was conducted to assess the chain mediating effects of family care and emotional management between social support and anxiety. RESULTS: A total of 4 141 questionnaires were distributed, with 3 874 valid responses (effective response rate: 93.55%). The prevalence rate of anxiety symptoms among these students was 9.32% (95%CI: 8.40%-10.23%). Significant differences were observed in the prevalence rates of anxiety symptoms among groups with different levels of social support, family functioning, and emotional management ability (P<0.05). The total indirect effect of social support on anxiety symptoms via family care and emotional management was significant (β=-0.137, 95%CI: -0.167 to -0.109), and the direct effect of social support on anxiety symptoms remained significant (P<0.05). Family care and emotional management served as significant chain mediators in the relationship between social support and anxiety symptoms (β=-0.025,95%CI:-0.032 to -0.018), accounting for 14.5% of the total effect. CONCLUSIONS Social support can directly affect anxiety symptoms among rural primary school students and can also indirectly influence anxiety symptoms through the chain mediating effects of family care and emotional management. These findings provide scientific evidence for the prevention of anxiety in primary school students from multiple perspectives.
Humans ; Female ; Male ; Social Support ; Anxiety/etiology* ; Child ; Students/psychology* ; Emotions ; Logistic Models

Objective To compare the differences in lipid metabolism between platinum-resistant and platinum-sensitive ovarian cancer patients at stage Ⅲ-Ⅳ,to analyze the differential intestinal flora using 16S rRNA sequen-cing,and to explore the associations among intestinal flora,lipid metabolism characteristics and platinum resistance in ovarian cancer.Methods Patients diagnosed with ovarian cancer at stage Ⅲ-Ⅳ through surgical pathology were selected,including a platinum-resistant group(11 cases)and a platinum-sensitive group(11 cases).The differences in lipid metabolism between the two groups were compared.The differences in gut microbiota between the two groups were investigated using fecal 16S rRNA sequencing.The association among gut microbiota,lipid metabolism characteristics,and platinum resistance in ovarian cancer was analyzed.Results Significant differ-ences were observed in lipid metabolism-related indicators[total cholesterol(TC),high-density lipoprotein choles-terol(HDL-C),non-high-density lipoprotein cholesterol(n-HDL),low-density lipoprotein cholesterol(LDL-C),apolipoprotein(B)]between the two groups,with higher levels in the platinum-resistant group.The Shannon in-dex(P=0.008 3)and Simpson index(P=0.008 2)both showed higher diversity of gut microbiota in platinum-resistant ovarian cancer patients compared to the platinum-sensitive group.However,based on OTUs species clus-tering and relative abundance statistics,certain bacterial abundances differed significantly between the groups.Spe-cies such as Parabacteroides,Akkermansia,Blautia,Lachnoclostridium,Fusicatenibacter,and Megamonas had sig-nificantly higher abundances in the platinum-sensitive ovarian cancer group,and Akkermansia(a lipid metabolism-related bacterial group)was the most prevalent.Conclusion The platinum-resistant group of ovarian cancer ex-hibits significantly higher levels of lipid metabolism and gut microbiota diversity compared to the platinum-sensitive group.This suggests that the increase in lipid metabolism levels and fecal microbiota diversity may be associated with the development of platinum resistance.However,certain microbial taxa are reduced in abundance in the plat-inum-resistant group,such as the distinct Akkermansia genus(a lipid metabolism-related microbial community),which may serve as one of the factors inducing platinum-resistance in ovarian cancer.

Interpreting genes of interest is essential for identifying molecular mechanisms, but acquiring such information typically involves tedious manual retrieval. To streamline this process, the fanyi package offers tools to retrieve gene information from sources like National Center for Biotechnology Information (NCBI), significantly enhancing accessibility. Additionally, understanding the latest research advancements and sharing achievements are crucial for junior researchers. However, language barriers often restrict knowledge absorption and career development. To address these challenges, we developed the fanyi package, which leverages artificial intelligence (AI)-driven online translation services to accurately translate among multiple languages. This dual functionality allows researchers to quickly capture and comprehend information, promotes a multilingual environment, and fosters innovation in academic community. Meanwhile, the translation functions are versatile and applicable beyond biomedicine research to other domains as well. The fanyi package is freely available at https://github.com/YuLab-SMU/fanyi.

The post-translational modification of proteins is a key mechanism that imparts physiological functions to proteins,among which reversible phosphorylation modifications play a pivotal role in many biological processes.Aberrant changes in phosphorylation are often closely associated with various major disease processes.In recent years,with the aid of proteomic technologies and methods,high-throughput,high-precision qualitative and quantitative approaches for phosphorylated proteins have rapidly advanced.This article reviews the research progress of phosphorylated protein quantification and chemical proteomics analysis methods based on the"bottom-up"strategy,including phosphopeptide enrichment methods,mass spectrometry fragmentation methods,quantification analysis methods and phosphorylation site stoichiometry,and discusses the development trend of quantification and stoichiometric analysis methods for phosphorylated proteins.

Objective To investigate the value of CT radiomics combined with CT and preoperative pathological features for predicting postoperative early recurrence(ER)of local advanced esophageal squamous cell carcinoma(LAESCC).Methods Data of 334 patients with LAESCC were retrospectively analyzed.The patients were divided into training set(n=234)and verification set(n=100)at the ratio of 7:3 and were followed up to observe ER(recurrence within 12 months after surgery)or not.Univariate and multivariate logistic regression were used to analyze clinical,CT and preoperative pathological features of LAESCC in patients with or without ER in training set.The independent risk factors of ER were screened,and a CT-preoperative pathology model was constructed.Based on venous phase CT in training set,the radiomics features of lesions were extracted and screened to establish radiomics model,and finally a combined model was established based on radiomics model and the independent risk factors.Receiver operating characteristic(ROC)curves were drawn,and the area under the curve(AUC)was calculated to evaluate the diagnostic efficacy of each model.Results Among 334 cases,168 were found with but 166 without ER.In training set,117 cases were found with while the rest 117 without ER,while in verification set,51 were found with but 49 without ER.The length of lesions,cT stage and cN stage shown on CT and tumor differentiation degree displayed with preoperative pathology were all independent risk factors for ER of LAESCC(all P＜0.05).The AUC of CT-preoperative pathology model in training set and validation set was 0.759 and 0.783,respectively.Ten best radiomics features of LAESCC were selected,and AUC of the established radiomics model in training set and validation set was 0.770 and 0.730,respectively.The AUC of combined model in training and validation set was 0.838 and 0.826,respectively.The AUC of CT radiomics combined with CT and preoperative pathological features in training set was higher than that of CT-preoperative pathologymodel and radiomics model(both P＜0.01).Conclusion CT radiomics combined with CT and preoperative pathological features could effectively predict postoperative ER of LAESCC.

Objective:To study a quality control method of digital single photon emission computed tomography for heart,so as to provide references for formulating a standards of quality control(QC)of digital SPECT equipment.Methods:Based on the American Electrical Manufacturers Association(AEMA)"Gamma Camera Performance Test"(NU 1-2018)and the test method of routine quality assurance of equipment that was performed by related manufacturers of digital SPECT equipment for heart,a general QC method was constructed,which suited to the digital SPECT equipment for heart that used semiconductor cadmium zinc telluride(CZT)material,and turned prober on multi-angle in scanning.The test content included 5 test items,such as system energy resolution,system uniformity,sensitivity of system scanning,tomographic spatial resolution with scattering and maximum count rate of system.Results:Compared with the manufacturer's requirements,the test results indicated that the test results of the first time of 5 items included system energy resolution,system uniformity,sensitivity of system scanning,tomographic spatial resolution with scattering and maximum count rate of system were respectively 5.8%,8%,67 811 counts/(min·MBq),4.91mm,1.8×106s-1.The test results of the second time of them were respectively 5.6%,6%,68 297 counts/(min·MBq),4.96mm and 1.8×106s-1.The results of all test items met the requirements of the manufacturer's indicators.Conclusion:The established QC method can scientifically and objectively evaluate the operating state of this kind of equipment,which can provide data support for formulating QC standard of digital SPECT equipment.

Objective To compare the clinical efficacy of intraoperative slide rail CT combined with C-arm X-ray assis-tance and just C-arm for percutaneous screw in the treatment of pelvic posterior ring injury.Methods A retrospective analysis was performed on the patient data of 76 patients with posterior pelvic ring injury admitted to the Department of Orthopedic Trauma from December 2018 to February 2022.Among them,39 patients in the CT group were treated with C-arm combined with slide rail CT-assisted inline fixation including 23 males and 16 females with an average age of(44.98±7.33)years old;and the other 37 patients in the C-arm group were treated with intraline fixation treatment under only C-arm fluoroscopy in-cluding 24 males and 13 females with an average age of(44.37±10.82)years old.Among them,42 patients with anterior ring fractures were treated with percutaneous inferior iliac spines with internal fixation(INFIX)or suprapubic support screws to fix the anterior pelvic ring.Postoperative follow-up time,operation time,complications of the two groups were compared.Results of Matta reduction criteria,Majed efficacy evaluation,the CT grading and the rate of secondary surgical revision were com-pared.Results The nailing time of(32.63±7.33)min in CT group was shorter than that of(52.95±10.64)min in C-arm group(t=-9.739,P＜0.05).The follow-up time between CT group(11.97±1.86)months and C-arm group(12.03±1.71)months were not statistically significant(P＞0.05).The postoperative complication rates between two groups were not statistically significant(x2=0.159,P＞0.05).Results of Matta reduction criteria(Z=2.79,P＜0.05),Majeed efficacy evaluation(Z=2.79,P＜0.05),CT grading(Z=2.83,P＜0.05)in CT group were better than those in C-arm group(P＜0.05);the secondary surgical revision rate in the CT group was significantly lower than that in the C-arm group(x2=5.641,P＜0.05).Conclusion Compared with traditional C-arm fluoroscopy,intraoperative slide rail CT combined with C-arm assisted percutaneous sacroiliac joint screw placement surgery has the characteristics of short operation time,high accuracy and safety,and significant decrease in postoperative sec-ondary revision rate,and is one of the effective methods for re-establishing the stability of the posterior ring of pelvic fracture.