By systematically reviewing the concept evolution of pre-chronic obstructive pulmonary disease （pre-COPD） and the research status of traditional Chinese medicine （TCM）， as well as considering the clinical practice， this paper puts forward the strategies for the prevention and treatment of pre-COPD with TCM. These strategies include identifying high-risk groups by combining TCM syndrome and constitution， advocating the principle of "treating disease before it arises" and promoting the combination of syndrome differentiation and constitution evaluation to achieve individualized intervention， promoting collaboration between TCM and western medicine， supported by digital and intelligent technologies， to establish a whole-process management mode of "hospital-community-family". The aim is to realize the early diagnosis， early intervention and whole-process management of pre-COPD， thereby helping reduce the incidence of COPD.

To compare the diagnostic accuracy and differential diagnosis comprehensiveness of six general-purpose large language models (LLMs) on standardized clinical cases, and to assess their applicability for clinical reasoning education.

Objective To investigate the pathogenesis of high-altitude cerebral edema(HACE)and develop new therapeutic strategies.Methods Male Sprague-Dawley(SD)rats of 6 weeks old were selected and placed in a hypobaric chamber.The rats were exposed to the high-altitude environment of 7000 m above sea level for 3 days for HACE modeling.Whether the HACE model was successfully established in the rats was evaluated by measuring brain water content,the degree of disruption to the blood-brain barrier(BBB),and brain tissue Nissl staining.The experimental animals were divided into four groups,with 28 rats in each group.The blank control group was exposed to a normobaric and normoxic environment simulating the conditions at 500 m above sea level for 3 d.The other groups,including a model group(the HACE group),a bumetanide group(the positive control group),and a XH-6003 treatment group,were placed at an altitude of 7 000 m above sea level and were injected with normal saline,bumetanide,and XH-6003,a new type of Na-K-2C1 cotransporter 1(NKCC1)inhibitor,via the tail vein,respectively,twice daily for 3 d.The experimental animals were taken out of the hypobaric chamber for testing after 3 d.The primary outcome measures included brain water content,BBB permeability,changes in brain tissue morphology,and the expression levels of aquaporin-4(AQP4)and NKCC1.The secondary outcome measures included behavioral changes,apoptosis,and oxidative stress markers.Results The HACE rat model was successfully established.The model group exhibited increased brain water content(P＜0.0001),BBB disruption(P＜0.0001),impairment in learning skills and memory(P＜0.001),and anxiety/depression-like behaviors(P＜0.01).qPCR results showed significantly increased expression of NKCC1 and AQP4 in the brain tissue of the model group(P＜0.01).Pathology examination revealed neuronal and glial cell damage in the hippocampus of the model group(P＜0.01).Treatment with XH-6003,the NKCC1 inhibitor,reversed brain water content,BBB disruption,and neuronal and glial cell damage to a certain degree(P＜0.05),decreased the expression of NKCC1 and AQP4 in the brain tissue(P＜0.01),and inhibited apoptosis-related proteins.Among the oxidative stress indices,only glutathione(GSH)showed improvement(P＜0.001).Rats treated with XH-6003 showed functional improvement only in the time spent exploring novel objects,while other behavioral outcomes remained unchanged.Conclusion HACE is associated with the activation of the NKCC1/AQP4 pathway.Inhibition of this pathway alleviates brain edema,BBB disruption,and neuronal and glial cell damage.These findings suggest that XH-6003 holds potential as a therapeutic strategy for HACE at the cellular and molecular levels,but its effects in improving HACE-related behavioral disorders warrant further investigation.

Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.

Chronic obstructive pulmonary disease （COPD） is a common clinical chronic airway disease with high morbidity， high mortality， a heavy disease burden， and complex mechanisms that have not been fully elucidated. Clinical problems promote the continuous progress of basic research. The establishment and evaluation of animal models is an important way to delve into the pathogenesis and treatment strategies of COPD. On the basis of the etiology， pathogenesis， diagnostic criteria， and syndrome differentiation of COPD in traditional Chinese medicine （TCM） and Western medicine， this paper summarizes the establishment methods and characteristics of existing animal models of COPD and analyzes the fitting degree of the models with the disease characteristics in Western medicine and syndrome characteristics in TCM. The results showed that the animal models of COPD in Western medicine were mainly induced by single factors and compound factors， and the model with the highest fitting degree was established by cigarette smoke combined with lipopolysaccharide and hormone. The model showed a fitting degree of 84% with the disease characteristics in Western medicine and 70% with the syndrome characteristics in TCM， being consistent with the clinical characteristics of COPD induced by multiple factors. Most of the animal models of COPD in TCM were established on the basis of disease models and combined with TCM etiology and pathogenesis characteristics， and prepared by syndrome differentiation. Among them， the model of accumulation of cold and water retention in lung had the highest fitting degree of 92% with the TCM diagnostic criteria. The models of phlegm-heat obstructing lung and phlegm-stasis obstructing lung had the fitting degree of 94% with clinical manifestations in Western medicine and the highest fitting degree with the diagnostic criteria in Western medicine. Different animal models of COPD have their own advantages and disadvantages， and most of them simply replicate the manifestations of COPD at a certain stage， failing to reflect the multiple causes and the dynamic changes of TCM etiology and pathogenesis. Moreover， the syndromes of these models fail to match the clinical syndromes in TCM. Therefore， establishing the animal models reflecting clinical characteristics of COPD in TCM and Western medicine and improving the model evaluation criteria are important contents to promote the overall development of integrated traditional Chinese and western medicine for COPD.

Objective:To investigate the value of biparametric-MRI (bpMRI) based peritumoral radiomics for preoperative prediction of extraprostatic extension (EPE) in prostate cancer (PCa).Methods:In this cross-sectional study, consecutive bpMRI of patients undergoing prostatectomy for PCa were retrospectively collected from the First Medical Center (center 1) and the Third Medical Center (center 2) of Chinese PLA General Hospital. A total of 274 patients were finally enrolled. Patients at center 1 from January 2020 to December 2022 were randomly divided into a training set (149 cases) and an internal validation set (63 cases) by stratified random sampling. Patients at center 2 from January 2023 to March 2024 were assigned to the external test set (62 cases). Patients were categorized into EPE-positive group and EPE-negative group according to pathological assessment postoperatively. In the training set, there were 49 cases in EPE-positive group and 100 cases in EPE-negative group. In the internal validation set, there were 26 cases in EPE-positive group and 37 cases in EPE-negative group. In the external test set, there were 22 cases in EPE-positive group and 40 cases in EPE-negative group. Axial T 2WI and apparent diffusion coefficient (ADC) images were manually annotated to obtain index lesion regions of interest (ROIs), with the peritumoral ROIs subsequently delineated by semi-automatic segmentation technique. Radiomics features were extracted from intra-tumoral, peri-tumoral, and intra-tumoral plus peri-tumoral ROIs. The training set data was employed to select and optimize features to build the radiomics models. The logistic regression analysis was used to develop radiomics, clinical, and integrated models. The predictive performance was assessed by the area under the receiver operating characteristic curve (AUC) in the external test set, and compared by the DeLong test. The sensitivity and specificity were compared by the exact McNemar test. Results:In the external test set, the peri-tumoral radiomics model based on bpMRI showed the highest performance in evaluating EPE, with an AUC of 0.739 (95% CI 0.611-0.842), which was identified as the optimal radiomics model. EPE grade ( OR=6.151, 95% CI 3.371-11.226, P<0.001) was incorporated into the clinical model, with an AUC of 0.780 (95% CI 0.657-0.875) in the external test set. The integrated model had an AUC of 0.817 (95% CI 0.698-0.904) in the external test set. There was no statistically significant difference in comparisons of AUCs among the three models (all P>0.05). The sensitivity of the integrated model (68.2%) showed no significant difference from those of the clinical model and the optimal radiomics model (77.3% and 86.4%, respectively; P=0.500 and P=0.289). However, the specificity of the integrated model (85.0%) was significantly higher than those of the clinical model (67.5%, P=0.016) and the optimal radiomics model (50.0%, P<0.001). Conclusion:A bpMRI-based peritumoral radiomics integrating clinical model demonstrates high performance for preoperative prediction of EPE in PCa.

Objective:To investigate the impact of the interval period between biopsy and MR examination on tumor detection and extraprostatic extension (EPE) assessment for prostate cancer (PCa) using multi-parametric MRI (mpMRI).Methods:The study was cross-sectional and retrospectively included 130 patients with PCa who underwent RP and preoperative systematic biopsies followed by mpMRI between January 2021 and December 2022 in the First Medical Center of Chinese PLA General Hospital. Patients were divided into 3 groups according to interval following biopsy (group A,<3 weeks, 31 cases; group B, 3-6 weeks, 67 cases; group C,>6 weeks, 32 cases). The percentages of hemorrhage volume in the total prostate were drawn on T 1WI and calculated. The junior, senior and expert radiologists independently localized the index lesions and calculated the accuracy for tumor detection, in addition to assessing the probabilities of EPE according to EPE grade. The correlation between the hemorrhage extent and interval was analyzed using the Spearman correlation coefficient. The accuracy for tumor detection was compared using χ2 test among groups. The diagnostic performance of the radiologists for EPE prediction was assessed using the receiver operating characteristic curve, and the differences between the corresponding area under the curve (AUC) were compared using the DeLong test. Results:The percentage of hemorrhage was correlated with the interval between biopsy and MR examination ( r=-0.325, P<0.001). The detection accuracy of junior radiologist was 83.9% (26/31), 76.1% (51/67), and 78.1% (25/32) in group A, B and C, respectively; no differences were observed in the detection accuracy among three groups ( χ2=0.76, P=0.685). The detection accuracy of senior radiologist was 83.9% (26/31), 80.6% (54/67), and 71.9% (23/32) in 3 groups with no differences ( χ2=1.53, P=0.464). The detection accuracy of expert radiologist was 80.6% (25/31), 77.6% (52/67), and 93.8% (30/32) with no differences ( χ2=3.95, P=0.139). The AUC (95% CI) for predicting EPE were 0.830 (0.652-0.940), 0.704 (0.580-0.809), 0.800 (0.621-0.920) in the group A, B and C for junior radiologist; 0.876 (0.708-0.966), 0.768 (0.659-0.863), 0.896 (0.736-0.975) for senior radiologist; and 0.866 (0.695-0.961), 0.813 (0.699-0.895), 0.852 (0.682-0.952) for expert radiologist, respectively. No differences were observed among the subgroups in each radiologist ( P>0.05). Conclusion:The interval period does not significantly affect the detection accuracy and EPE assessment of PCa using mpMRI. There is probably no necessity for prolonged intervals following systematic biopsy to preserve the clarity of MRI interpretation for PCa.

Objective:To investigate the effects of sleep disorders (SD) on the radiation injury of hematopoietic stem cells (HSCs) in bone marrow (BM).Methods:Totolly 56 C57BL/6J male mice aged 6-8 weeks were enrolled in this study. They were subjected to whole body irradiation of 60Co γ-rays with doses of 5.0 and 7.5 Gy. A SD model was established using a SD device. According to the random number table method, the mice were divided into seven groups: the control group (Con group), the SD group, the mere radiation group (IR group), the group of post-irradiation SD (IR+ SD group), the group of post-irradiation SD treated with phosphate buffer solution (IR+ SD+ PBS group), the group of post-irradiation SD treated with GSK2795039 (IR+ SD+ GSK group), and the group of post-irradiation SD treated with N-acetylcysteine (IR+ SD+ NAC group), with in eight mice each group. The changes in the peripheral blood of the mice after 5.0 Gy irradiation were detected using the collected tail venous blood, and the survival rates of the mice after 7.5 Gy irradiation were observed. The changes in the density and count of bone marrow cells were observed using hematoxylin and eosin (HE) staining. The number of hematopoietic stem cells in bone marrow (LSK cells), as well as their apoptosis level and changes in cell cycle, were detected using flow cytometry. Furthermore, indicators of LSK, such as reactive oxygen species(ROS) and mitochondrial-derived reactive oxygen species (mtROS), were analyzed. Nicotinamide adenine dinucleotide phosphate (NADP+ /NADPH) and glutathione (GSSG/GSH) were detected using an enzyme microplate reader in order to observe the oxidative stress level of LSK. Furthermore, flow cytometry was employed to sort the LSK cells from the mice, and flow cytometry was used to detect the expression of NADPH oxidase 2(NOX2) and cysteinyl aspartate specific proteinnase-1(Caspase-1), and polymerase chain reaction (PCR) was used to detect the expression of inflammatory factors such as NOX1-4, interleukin 1β (IL-1β), interleukin 6 (IL-6), interleukin 18 (IL-18), and tumor necrosis factor α (TNF-α). Results:Compared to the IR group, the IR+ SD group exhibited significantly slower recovery of white blood cells (WBC) and platelets (PLT) ( t = 4.39, 6.37, P < 0.05), the bone marrow cell count decreasing from (2.14 ± 0.38) × 10 7 to (3.59 ± 0.29) × 10 7 ( t = 8.55, P < 0.05), significantly decreased proportion of G 0-phase LSK cells, significantly increased proportion of apoptotic cells ( t = 7.53, 8.21, P < 0.05), and significantly increased DCFH-DA, MitoSOX, and NADP+ /NADPH ( t = 22.99, 29.47, 3.77, P<0.05). In the case of IR, SD further promoted the activation of NOX2 and led to increases in the mRNA expression of downstream inflammatory factors such as IL-1β, IL-6, IL-18, and TNF-α ( t = 6.95, 6.01, 8.39, 4.91, 5.56, P < 0.05). Inhibition of NOX2-ROS could prevent the SD-induced aggravation of post-irradiation hematopoietic injury. This significantly reduced the apoptotic rate of LSK cells and the expression of inflammatory factors, ultimately accelerating the hematopoietic recovery of LSK cells ( t = 9.24, 3.92, P < 0.05). Conclusions:SD can aggravate the IR-induced injury of hematopoietic stem cells in bone marrow, primarily by activating the NOX2-ROS-Caspase-1 axis. This will increase the levels of intracellular inflammatory factors and ROS, promote cell apoptosis, and ultimately inhibit the hematopoietic recovery of bone marrow.

Purpose To explore the additional value of apparent diffusion coefficient(ADC)histogram in predicting extraprostatic extension(EPE)of prostate cancer.Materials and Methods Consecutive patients undergoing multi-parameter MRI and subsequent radical prostatectomy from January 2021 to December 2022 were retrospectively included in this study.Two radiologists independently estimated EPE by using national cancer institute grading system for extraprostatic extension(EPE grade system),with disagreement resolved by discussion.Histogram metrics were derived from three-dimensional volumes of interest encompassing the entire lesion on ADC maps using FireVoxel,obtaining mean ADC,1st,5th,10th,25th,50th,75th,90th,95th and 99th ADC values.The ADC histograms between the groups with and without EPE were compared.Multivariable Logistic regression analysis was used to identify the independent predictive factors of EPE,and a combined model was developed.Receiver operator characteristic curve was used to evaluate the diagnostic performance,and the area under the curve was calculated and compared.Results Thirty-four patients(34％)had pathologic confirmed EPE after radical prostatectomy.ADC histogram parameters showed significant differences between patients with and without EPE(P＜0.05).Multivariate Logistic regression analysis revealed 99th ADC(OR=0.609,P=0.008)and EPE grade system(OR=4.158,P＜0.001)were independent predictors of EPE.For predicting EPE,the area under the curve of 99th ADC,EPE grade system and the combined model were 0.756,0.805 and 0.856,respectively.The area under the curve of 99th ADC and the EPE grade system in identifying EPE showed no significant difference.The diagnostic efficacy of combined model was significantly superior to that of 99th ADC or EPE grading system(Z=2.223,2.208,both P＜0.05).Conclusion The ADC histogram parameters demonstrate additional value for preoperative prediction of EPE.Combining the 99th ADC histogram parameter with the EPE grade system may improve the diagnostic efficacy of EPE.

Objective To analyze the main research directions, hotspots, and development trends of traditional Chinese medicine (TCM) in the prevention and treatment of bronchiectasis in China. Methods The CiteSpace software was used to conduct an in-depth exploration of the relevant characteristics of TCM researches on the prevention and treatment of bronchiectasis in the China National Knowledge Infrastructure (CNKI) database from 2001 to 2022, and the authors, research institutions, keywords, and other elements were presented and analyzed in the form of maps. Results A total of 457 literatures were included in this study, and the number of publications in journals showed a stable growth trend over time.Through the analysis of keywords, it revealed that disease symptoms and stages, clinical efficacy, experiences of famous doctors, TCM treatment, and data mining were currently research hotspots. Conclusion The cooperation between authors and research institutions should be strengthened to grasp the research hotspots and evolution trends of TCM in the prevention and treatment of bronchiectasis.Further researches on TCM treatment of bronchiectasis need to be strengthened.