Objective To evaluate the predictive value of serum carbohydrate antigen 50(CA50),tumor specific growth factor(TSGF),and tissue polypeptide antigen(TPA)levels for sensitivity to radiochemotherapy in patients with middle-and advanced-stage breast cancer using a nomogram model.Methods Eighty-two patients with middle-and advanced-stage breast cancer were selected as the study sub-jects.All patients received paclitaxel chemotherapy combined with radiotherapy and were divided into sensitive(n= 57)and insensitive(n= 25)groups according to the Response Evaluation Criteria in Solid Tumors.The general information of the patients,serum expression of CA50,TSGF,and TPA,and their differences before and after treatment were recorded.A nomogram model was constructed,and cali-bration curves,receiver operating characteristic(ROC)curves,and decision curves were used to evaluate the predictive power and clinical utility of the nomogram model.Results Significant differences were observed in tumor diameter,vascular invasion,TNM stage,lymph node metastasis,and degree of differentiation between the two groups(P＜0.05).Compared to those in the sensitive group,the serum expression of CA50,TSGF,and TPA after treatment was higher,and the difference in CA50,TSGF,and TPA was smaller in the insensitive group(P＜0.05).Three predictive variables were identified in the LASSO regression:differences in CA50,TSGF,and TPA.The logistic regression results showed that differences in CA50,TSGF,and TPA influenced sensitivity to radiochemotherapy in middle-and advanced-stage breast cancer(P＜0.05).A nomogram model was constructed using differences in CA50,TSGF,and TPA.Calibration,ROC,and decision curves showed the model's good predictive accuracy and clinical utility.Conclusion Serum expression of CA50,TSGF,and TPA is high in patients with middle-and advanced-stage breast cancer who are insensitive to radiochemotherapy,and differences in CA50,TSGF,and TPA affect their sensitivity to radiochemotherapy.The nomogram model had good predictive value and clinical utility.

Patients with severe trauma require an extremely timely treatment and transfusion plays an irreplaceable role in the emergency treatment of such patients. An increasing number of evidence-based medicinal evidences and clinical practices suggest that patients with severe traumatic bleeding benefit from early transfusion of low-titer group O whole blood or hemostatic resuscitation with red blood cells, plasma and platelet of a balanced ratio. However, the current domestic mode of blood supply cannot fully meet the requirements of timely and effective blood transfusion for emergency treatment of patients with severe trauma in clinical practice. In order to solve the key problems in blood supply and blood transfusion strategies for emergency treatment of severe trauma, Branch of Clinical Transfusion Medicine of Chinese Medical Association, Group for Trauma Emergency Care and Multiple Injuries of Trauma Branch of Chinese Medical Association, Young Scholar Group of Disaster Medicine Branch of Chinese Medical Association organized domestic experts of blood transfusion medicine and trauma treatment to jointly formulate Chinese expert consensus on blood support mode and blood transfusion strategies for emergency treatment of severe trauma patients ( version 2024). Based on the evidence-based medical evidence and Delphi method of expert consultation and voting, 10 recommendations were put forward from two aspects of blood support mode and transfusion strategies, aiming to provide a reference for transfusion resuscitation in the emergency treatment of severe trauma and further improve the success rate of treatment of patients with severe trauma.

The clinical data of a case of Niemann-Pick disease type C diagnosed at Beijing Children′s Hospital, Capital Medical University on December 22, 2017 were retrospectively analyzed.The patient, male, 1 year and 28 days old, was admitted to the hospital primarily due to intermittent fever, cough and dyspnea for 8 months, and hepatosplenomegaly for 20 days.The patient initially presented with cough, expectoration, and wheezing, followed by hypotonia and delayed motor development.At the age of 1 year, the child developed hepatosplenomegaly and diffuse interstitial changes in both lungs.At the age of 3 years, the child had obvious vertical supranuclear gaze palsy and gelastic cataplexy, followed by dysarthria and dysphagia.The foam cells were found by bone marrow cytology, while sphingomyelinase and glucocerebrosidase were normal, so Niemann-Pick disease type A/B and Gaucher disease were excluded.Finally, genetic testing revealed two pathogenic mutations in the NPC1 gene, so Niemann-Pick disease type C was confirmed.Miglustat treatment began when the child was 3 years old, and vertical supranuclear gaze palsy and gelastic cataplexy improved for a while, but then the neurological symptoms worsened again, with dysphagia and dyspnea gradually increasing, and finally he died at the age of 4 years and 11 months.

Objective To explore the value of model established with radiomics features based on contrast enhanced arterial phase CT and model with radiogenomics for predicting prognosis of ovarian serous cystadenocarcinoma(OSC).Methods Enhanced arterial phase CT images of 110 OSC patients were retrospectively collected from 2 centers and The Cancer Imaging Archive(TCIA)database.The radiomics features were extracted,among those related to prognosis were selected to establish a radiomics Cox regression model.Genes data of 399 OSC patients were obtained from The Cancer Genome Atlas(TCGA)database,and genes related to the radiomics features included in the above radiomics model were identified with high Pearson correlation coefficient,and then enrichment gene analyses were performed.For 57 OSC cases with complete enhanced CT and gene data,the hub genes which had the highest connectivity with radiomics prognosis predicting model were detected using Cox regression and protein-protein interaction(PPI).Furthermore,a radiogenomics prognosis predicting model was established with the hub genes.The efficiencies of these 2 models for predicting prognosis of OSC patients were analyzed.Results Finally,the radiomics model included 5 OSC prognosis-related radiomics features,with C-index of 0.782 and 0.735 in corresponding training and test set,respectively.Meanwhile,the radiogenomics model included 30 prognostic hub genes,with C-index of 0.673 and 0.659 in corresponding training and test set,respectively.The survival rates of patients with better predicted prognosis according to radiomics model and radiogenomics model were both higher compared with the others(both P＜0.05).Totally 1 135 mRNA genes were found being associated with radiomics model,including biological behaviors such as cell adhesion,and signaling pathways such as PI3K-Akt,extracellular matrix receptor interaction pathway and type 1 diabetes pathway.Conclusion The radiomics model was effective for predicting prognosis of OSC patients.Analysis of mRNA bioinformatics in OSC patients might provide biological interpretations for the radiomics model.

Objective:To explore the effectiveness and safety of laparoscopic-assisted liposuction in the treatment of gynecomastia.Methods:A retrospective study was conducted on 115 male breast development patients from January 2021 to May 2023 at the First Affiliated Hospital of Henan University and Shaoguan Hospital of Southern Medical University. The patients were divided into two groups based on surgical methods: the laparoscopic combined liposuction technique group (observation group) and the traditional areola incision group (control group). The control group consisted of 59 cases, aged between 18 and 52 years (26.2±5.2); There were 56 cases in the observation group, aged between 18 and 55 years (26.5±5.2). The differences in surgical time, intraoperative blood loss, drainage tube removal time, incidence of surgical complications, postoperative drainage volume, pain visual analog scale (VAS), and patient satisfaction were compared between two groups of patients.Results:The intraoperative bleeding volume, drainage tube removal time, and postoperative drainage volume in the observation group were 12.25±2.23, 2.85±0.53, and 80.52±7.53, respectively, all of which were lower than those in the control group (26.53±2.35, 4.22±0.59, 81.25±8.54, respectively), and the differences were statistically significant (all P<0.05).The incidence of sensory abnormalities in the nipple areola area of the observation group was 1.8% (1/56), which was lower than the 10.2% (6/59) of the control group, and the difference was statistically significant ( P<0.05).The postoperative breast shape, nipple shape, and incision score of the observation group were 81.15±18.52, 77.85±22.15, and 72.58±10.56 points, respectively, all higher than the control group's 69.34±18.48, 78.12±21.75, and 60.35±9.35 points, and the differences were statistically significant (all P<0.05). Conclusions:Laparoscopic combined with liposuction technology for the treatment of gynecomastia can reduce intraoperative bleeding and postoperative drainage volume and shorten the time for removing drainage tubes with better safety.

Mycobacterium neoaurum has the ability to produce steroidal intermediates known as 22-hydroxy-23, 24-bisnorchol-4-en-3-one (BA) upon the knockout of the genes for either the hydroxyacyl-CoA dehydrogenase (Hsd4A) or acyl-CoA thiolase (FadA5). In a previous study, we discovered a novel metabolite in the fermentation products when the fadA5 gene was deleted. This research aims to elucidate the metabolic pathway of this metabolite through structural identification, homologous sequence analysis of the fadA5 gene, phylogenetic tree analysis of M. neoaurum HGMS2, and gene knockout. Our findings revealed that the metabolite is a C23 metabolic intermediate, named 24-norchol-4-ene-3, 22-dione (designated as 3-OPD). It is formed when a thioesterase (TE) catalyzes the formation of a β-ketonic acid by removing CoA from the side chain of 3, 22-dioxo-25, 26-bisnorchol-4-ene-24-oyl CoA (22-O-BNC-CoA), followed by spontaneously undergoing decarboxylation. These results have the potential to contribute to the development of novel steroid intermediates.
Mycobacterium/metabolism* ; Phylogeny ; Steroids/metabolism* ; Metabolic Networks and Pathways ; Sterols/metabolism*

Despite exciting achievements with some malignancies, immunotherapy for hypoimmunogenic cancers, especially glioblastoma (GBM), remains a formidable clinical challenge. Poor immunogenicity and deficient immune infiltrates are two major limitations to an effective cancer-specific immune response. Herein, we propose that an injectable signal-amplifying nanocomposite/hydrogel system consisting of granulocyte-macrophage colony-stimulating factor and imiquimod-loaded antigen-capturing nanoparticles can simultaneously amplify the chemotactic signal of antigen-presenting cells and the "danger" signal of GBM. We demonstrated the feasibility of this strategy in two scenarios of GBM. In the first scenario, we showed that this simultaneous amplification system, in conjunction with local chemotherapy, enhanced both the immunogenicity and immune infiltrates in a recurrent GBM model; thus, ultimately making a cold GBM hot and suppressing postoperative relapse. Encouraged by excellent efficacy, we further exploited this signal-amplifying system to improve the efficiency of vaccine lysate in the treatment of refractory multiple GBM, a disease with limited clinical treatment options. In general, this biomaterial-based immune signal amplification system represents a unique approach to restore GBM-specific immunity and may provide a beneficial preliminary treatment for other clinically refractory malignancies.

Objective:To construct a combined radiomics model based on preoperative enhanced computed tomography (CT) examination for predicting microvascular invasion (MVI) in hepatocellular carcinoma (HCC), and provide biological explanations for the radiomics model.Methods:The retrospective cohort study was conducted. The messenger RNA (mRNA) of 424 HCC patients, the clinicopathological data of 39 HCC patients entered into the Cancer Genome Atlas database from its establishment until January 2023, and the clinicopathological data of 53 HCC patients who were admitted to the Gansu Provincial People′s Hospital from January 2020 to January 2023 were collected. The 92 HCC patients were randomly divided into a training dataset of 64 cases and a test dataset of 28 cases with a ratio of 7∶3 based on a random number table method. The CT images of patients in the arterial phase and portal venous phase as well as the corresponding clinical data were analyzed. The 3Dslicer software (version 5.0.3) was used to register the CT images in the arterial phase and portal venous phase and delineate the three-dimensional regions of interest. The original images were preprocessed and the corresponding features were extracted by the open-source software FAE (version 0.5.5). After selecting features using the Least Absolute Shrinkage and Selection Operator, the radiomics model was constructed and the radiomics score (R-score) was calculated. The nomogram was constructed by integrating clinical parameters, imaging features and R-score based on Logistic regression. The gene modules related to radiomics model were obtained and subjected to enrichment analysis by conducting weighted gene co-expression network analysis and correlation analysis. Observation indicators: (1) comparison of clinical characteristics of patients with different MVI properties; (2) establishment of MVI risk model; (3) evaluation of MVI risk model; (4) clustering of gene modules; (5) functional enrichment of feature-correlated gene modules. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M(range), and comparison between groups was conducted using the Mann-Whitney U test. Comparison of count data was conducted using the chi-square test. The intra-/inter-class correlation coefficient (ICC) was used to assess the inter-observer consistency of radiomics feature extracted by different observers. ICC >0.75 indicated a good consistency in feature extraction. The Logistic regression model was used for univariate and multivariate analyses. The receiver operating characteristic curve was drawn, and the area under curve (AUC), the decision curve and the calibration curve were used to evaluate the diagnostic efficacy and clinical practicality of the model. Results:(1) Comparison of clinical characteristics of patients with different MVI properties. Of 92 HCC patients, there were 47 cases with MVI-positive and 45 cases with MVI-negative, and there were significant differences in hepatitis, tumor diameter, peritumoral enhancement, intratumoral arteries, pseudocapsule and smoothness of tumor margin between them ( χ2=5.308, 9.977, 47.370, 32.368, 21.105, 31.711, P<0.05). (2) Establishment of MVI risk model. A total of 1 781 features were extrac-ted from arterial and portal venous phases of the intratumoral and peritumoral regions. After feature dimension reduction, 8 radiomics features were selected from arterial and portal venous phases to construct the combined model. Results of multivariate analysis showed that peritumoral enhancement, intratumoral arteries, pseudocapsule, smoothness of tumor margins, and R-score were independent risk factors for MVI in patients with HCC [ hazard ratio=0.049, 0.017, 0.017, 0.021, 2.539, 95% confidence interval ( CI) as 0.005-0.446, 0.001-0.435, 0.001-0.518, 0.001-0.473, 1.220-5.283, P<0.05]. A nomogram model was constructed incorporating peritumoral enhancement, intratumoral arteries, pseudocapsule, smoothness of tumor margins, and R-score. (3) Evaluation of the MVI risk model. The AUC of radiomics model was 0.923 (95% CI as 0.887-0.944) and 0.918 (95% CI as 0.894-0.945) in the training dataset and test dataset, respectively. The AUC of nomogram model, incorpora-ting both the R-score and radiomics features, was 0.973 (95% CI as 0.954-0.988) and 0.962 (95% CI as 0.942-0.987) in the training dataset and test dataset, respectively. Results of decision curve showed that the nomogram had better clinical utility compared to the R-score. Results of calibration curve showed good consistency between the actual observed outcomes and the nomogram or the R-score. (4) Clustering of gene module. Results of weighted gene co-expression network analysis showed that 8 gene modules were obtained. (5) Functional enrichment of feature-related gene modules. Results of correlation analysis showed 4 gene modules were significantly associated with radiomics features. The radiomics features predicting of MVI may be related to pathways such as the cell cycle, neutrophil extracellular trap formation, and PPAR signaling pathway. Conclusions:The combined radiomics model based on preoperative enhanced CT imaging can predict the MVI status of HCC. By obtaining mRNA gene expression profiles associated with radiomics features, a biological interpretation of the radiomics model is provided.

Objective: To establish the norm of the Physical Activity afterschool Questionnaire for Preschooler(P-PAQ) in urban areas of China, so as to provide a basis for graded guidance from the family perspective and to improve children s physical activity levels. Methods: From October 2020 to January 2021, 6 267 children aged 3-6 years old were recruited from 40 kindergartens in eight cities across six major administrative regions by stratified cluster sampling, and the P-PAQ initially developed by the researchers of this study were completed by the primary caregivers. The questionnaire was administered to collect data relating to the amount of physical activity undertaken by the preschoolers, and the norm was determined by quartiles. Data relating to parental concepts of sports and parental behavior were assessed by calculating mean scores in order to establish the norm. Results: Among preschoolers in urban areas, the M(P 25 ，P 75 ) of total physical activity time (min/day), moderate-to-vigorous physical activity time (min/day), outdoor time (min/day) and screen time (min/day) on school days outside kindergarten and on weekends were 84 (54,120), 22 (8,40), 12 (0,24) and 18 (6,30), and 170 (115,240), 60 (30,95), 90 (35,120) and 30 (20,60), respectively. When the score of parents sports concept and behavior (total score of 40) were≥34, 29-<34, 24-<29, <24, it was defined as four levels about above medium, medium, lower medium and lower, respectively. And for two dimensions，when the score of parental sports concept were ≥19, 17-<19, 15-<17, <15，and the score of parental behaviors were ≥16, 12-<16, 8-<12, <8, it was defined as four levels about upper medium, medium, lower medium and lower, respectively. Conclusion The norm of extracurricular activities among preschool children in Chinese cities has good representativeness and appropriate threshold values, which could provide a valuable reference for early assessment, as well as guidance in relation to out-of-school physical activity behaviors among children aged 3-6 years old.

Objective:To investigate the correlation between the expression level of serum exosome miR-29C and postoperative cognitive dysfunction (POCD) in elderly patients undergoing surgery.Methods:A total of 119 elderly patients who underwent elective spinal surgery in the Second Hospital of Shanxi Medical University from January 2021 to January 2022 were selected and scored on the Montreal Cognitive Assessment (MoCA) Scale 1 day before surgery and 1, 7 and 21 days after surgery. The selected patients were divided into POCD group (51 cases) and non-POCD group (68 cases) according to whether the MoCA Scale score decreased ≥2 points 1 day before surgery and 1 day after surgery. S100-β, neuron-specific enolase (NSE) levels and serum exosome miR-29C expression levels were detected and analyzed in all patients 1 day before and 1 day after surgery. Pearson correlation analysis showed the correlation between MoCA Scale score and S100-β, NSE and miR-29C. Receiver operating characteristic (ROC) curve was used to evaluate the predictive value of S100-β, NSE and miR-29C for POCD occurrence in elderly patients undergoing surgery.Results:The score of MoCA Scale in POCD group were significantly decreased 1, 7 and 21 days after surgery compared with 1 day before surgery (all P<0.05), while the score of MoCA Scale in non-POCD group were significantly decreased only 1 day after surgery compared with 1 day before surgery ( P<0.05). The levels of S100-β and NSE and the expression level of serum exosome miR-29C in 2 groups were significantly increased 1 day after surgery compared with 1 day before surgery (all P<0.05). Moreover, the levels of S100-β and NSE and the expression level of serum exosome miR-29C in POCD group were significantly higher than those in non-POCD group 1 day after surgery (all P<0.05). There was a negative correlation between the MoCA Scale score and the expression level of serum exosome miR-29C 1 day after surgery in the POCD group ( P<0.05). ROC curve analysis showed that the expression levels of NSE, S100-β and exosome miR-29C 1 day after surgery predicted the risk of POCD in elderly surgical patients with area under the curve (AUC) of 0.891, 0.908 and 0.918, respectively. Conclusions:The occurrence of POCD in elderly patients with surgery is related to the increase of the expression level of serum exosome miR-29C, and the expression level of serum exosome miR-29C is negatively correlated with MoCA Scale score. Early monitoring of the miR-29C expression level can provide a basis for the occurrence and development of postoperative POCD in elderly patients, disease diagnosis and clinical intervention.