Chronic cerebral hypoperfusion leads to white matter injury (WMI), which plays a significant role in contributing to vascular cognitive impairment. While 13-docosenamide is a type of fatty acid amide, it remains unclear whether it has therapeutic effects on chronic cerebral hypoperfusion. In this study, we conducted bilateral common carotid artery stenosis (BCAS) surgery to simulate chronic cerebral hypoperfusion-induced WMI and cognitive impairment. Our findings showed that 13-docosenamide alleviates WMI and cognitive impairment in BCAS mice. Mechanistically, 13-docosenamide specifically binds to cannabinoid receptor 1 (CNR1) in oligodendrocyte precursor cells (OPCs). This interaction results in an upregulation of ubiquitin-specific peptidase 33 (USP33)-mediated CNR1 deubiquitination, subsequently increasing CNR1 protein expression, activating the phosphorylation of the AKT/mTOR pathway, and promoting the differentiation of OPCs. In conclusion, our study suggests that 13-docosenamide can ameliorate chronic cerebral hypoperfusion-induced WMI and cognitive impairment by enhancing OPC differentiation and could serve as a potential therapeutic drug.
Animals ; Oligodendrocyte Precursor Cells/metabolism* ; Mice ; Cell Differentiation/drug effects* ; Male ; Receptor, Cannabinoid, CB1/metabolism* ; Mice, Inbred C57BL ; Ubiquitin Thiolesterase/metabolism* ; Ubiquitination/drug effects* ; Carotid Stenosis/complications* ; Cognitive Dysfunction/drug therapy*

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Objective To analyze the relationship between frailty and acute kidney injury(AKI)after hip fracture surgery in the elderly.Methods A total of 405 elderly patients who underwent hip fracture surgery in Jieyang People's Hospital from August 2021 to January 2023 were retrospectively analysed.According to the modified frailty index(mFI),they were divided into frail group(mFI≥0.27,n=112)and non-frail group(mFI<0.27,n=293).Postoperative AKI was defined according to the Kidney Disease:Improving Global Outcomes(KDIGO)criteria.After 1:1 propensity score matching(PSM),100 cases in each group were successfully matched.Univariable and multivariable logistic regression models,propensity score adjustment,PSM,inverse probability of treatment weighting(IPTW),standardized mortality ratio weighting(SMRW),pairwise algorithm(PA)weighting,and overlap weighting(OW)methods were used to analyze the relationship between frailty and postoperative AKI.Stratified analyses were performed according to age(≥80 or<80 years),gender,whether angiotensin-converting enzyme inhibitors(ACEI)/angiotensin Ⅱreceptor antagonists(ARB)were used,and whether intraoperative hypotension occurred.Results After PSM,there were no significant differences between the two groups in age,sex,surgical type,ACEI/ARB,blood urea nitrogen,serum creatinine,intraoperative blood loss,and intraoperative hypotension[standardized mean difference(SMD)<0.1].In both the original cohort and the matched cohort,the incidence of AKI was higher in frail group than in non-frail group(25.9%vs.8.9%,P<0.001;28.0%vs.11.0%,P=0.002).Analysis of the risk of postoperative AKI in elderly hip fracture patients in frail group found that compared with the non-frail group,in the univariate logistic regression model the odds ratio(OR)and a 95%confidence interval(CI)for the frail group was 3.59(2.00-6.43),P<0.001,and in the multivariable logistic regression model,the OR(95%CI)for frail group was 3.04(1.55-5.95),P=0.001.After adjustment for propensity score,the OR(95%CI)for frail group was 2.85(1.52-5.34),P=0.001,and the OR(95%CI)for frail group after PSM was 3.15(1.47-6.75),P=0.003.After IPTW,SMRW,PA weighting,and OW,the OR(95%CI)for frail group were 2.48(1.37-4.50),2.43(1.41-4.19),2.63(1.25-5.54),and 2.69(1.07-6.78),respectively,with P<0.05.The interaction tests were not statistically significant for age,sex,use of ACEI/ARB,and intraoperative hypotension(P>0.05).Conclusion In elderly patients with hip fractures,preoperative frailty may be a risk factor for postoperative AKI.

Objective:To investigate the different expression levels of programmed cell death 1 ligand 1 (PD-L1) in non-small cell carcinoma (NSCLC) of distribution characteristics of TCM constitutions and prognosis.Methods:The clinical data of 355 NSCLC patients who had been treated with immune checkpoint inhibitors (ICIs) from January 2019 to June 2023 in the Cancer Medical Center of the First Affiliated Hospital of Hunan University of Chinese Medicine were retrospectively analyzed, and their TCM constitutions were determined. According to the expression level of PD-L1, they were divided into three groups: low expression group (TPS≤1%), medium expression group (1% < TPS < 49%) and high expression group (TPS≥50%). Overall survival (OS) of patients was followed up, and the median OS were compared. Kaplan-Meier method was used to draw survival curves, and Log-rank test was used to compare the difference of survival curves. The independent risk factors of OS were analyzed by COX regression.Results:The distribution of different TCM constitutions showed statistical significance across the three groups ( P<0.05). The median OS for the medium and high expression groups were 21.082 months and 25.714 months, respectively, both significantly higher than the 14.437 months for the low expression group ( P<0.05). The survival curve of TCM constitutions showed that the constitutions significantly correlated with the prognosis of ICIs treatment were qi deficiency, phlegm dampness, and blood stasis ( P<0.05 or P<0.01). The median OS from high to low was 44.971 months for phlegm-dampness constitution, 23.297 months for qi-deficiency constitution, and 11.763 months for blood-stasis constitution. COX regression analysis indicated that medium PD-L1 expression ( HR=0.622, 95% CI=0.459,0.844, P=0.002), high PD-L1 expression ( HR=0.509, 95% CI=0.361,0.718, P<0.001), phlegm-dampness constitution ( HR=0.556, 95% CI=0.335,0.924, P=0.024), and blood-stasis constitution ( HR=2.952, 95% CI=1.929,4.518, P<0.001) were independent prognostic factors. Conclusions:The higher the expression level of PD-L1 in NSCLC patients, the better the prognosis of ICIs treatment. The prognosis of ICIs treatment is better for people with phlegm-dampness constitution and poor for those with blood stasis constitution.

Originating in Huangdi Neijing,this theory was pioneered by ZHANG Zhongjing,who established the principles of concurrent heart-lung treatment and integrated therapeutic approaches.It further developed during the Ming-Qing period and has been widely applied in modern clinical practice.This article systematically traces the developmental trajectory of the heart-lung correlation theory in traditional Chinese medicine and analyzes its clinical application in elucidating the pathogenesis and therapeutic strategies for lung cancer complicated by cardiovascular comorbidities.According to this theoretical framework,lung cancer accompanied by cardiovascular comorbidities exhibits a pathomechanism characterized by fundamental deficiency with symptomatic excess.The deficiency manifests as qi-blood depletion or impaired descent of gathering qi,while the excess is reflected in phlegm-stasis coagulation or heat-toxin accumulation.Key pathological features include progressive transformation,meridian disharmony,deteriorating vital substances,and disruption of inter-organ relationships.Treatment adheres to the principles of concurrent heart-lung intervention,integrated cardiopulmonary modulation,and reciprocal organ regulation.Core therapeutic strategies involve eliminating pathogenic factors,promoting circulation,tonifying deficiencies,and harmonizing functions with specific interventions determined through pattern differentiation.For the pattern of phlegm and blood stasis coagulation affecting both the heart and lung,treatment is guided by the principle of simultaneous treatment of phlegm and stasis,coordinated regulation of heart-lung function,and prioritization of qi circulation.Commonly used formulas include Gualou Xiebai Banxia Decoction and Xuefu Zhuyu Decoction.In cases of heat toxin accumulation in the heart and lungs,therapy follows the principle of clearing heart-lung fire and dredging collaterals,often using combinations of insect-derived medicines and vine-derived herbs,such as earthworm and Chinese star jasmine stem.In instances of heart-lung qi-blood deficiency,the therapeutic approach emphasizes simultaneous fortification and qi and blood circulation.Formulas such as modified Renshen Yangrong Decoction or Shengxian Decoction,combined with Taohong Siwu Decoction,are commonly used.These formulas strengthen qi without stagnating blood,promote blood circulation without harming healthy qi,and gradually eliminate pathogens.These three treatment approaches embody the characteristics of integrated heart-lung therapy,emphasizing dynamic regulation and holistic concepts.The focus remains on addressing both manifestation and root causes through flexible herb selection to achieve optimal therapeutic outcomes.

Originating in Huangdi Neijing,this theory was pioneered by ZHANG Zhongjing,who established the principles of concurrent heart-lung treatment and integrated therapeutic approaches.It further developed during the Ming-Qing period and has been widely applied in modern clinical practice.This article systematically traces the developmental trajectory of the heart-lung correlation theory in traditional Chinese medicine and analyzes its clinical application in elucidating the pathogenesis and therapeutic strategies for lung cancer complicated by cardiovascular comorbidities.According to this theoretical framework,lung cancer accompanied by cardiovascular comorbidities exhibits a pathomechanism characterized by fundamental deficiency with symptomatic excess.The deficiency manifests as qi-blood depletion or impaired descent of gathering qi,while the excess is reflected in phlegm-stasis coagulation or heat-toxin accumulation.Key pathological features include progressive transformation,meridian disharmony,deteriorating vital substances,and disruption of inter-organ relationships.Treatment adheres to the principles of concurrent heart-lung intervention,integrated cardiopulmonary modulation,and reciprocal organ regulation.Core therapeutic strategies involve eliminating pathogenic factors,promoting circulation,tonifying deficiencies,and harmonizing functions with specific interventions determined through pattern differentiation.For the pattern of phlegm and blood stasis coagulation affecting both the heart and lung,treatment is guided by the principle of simultaneous treatment of phlegm and stasis,coordinated regulation of heart-lung function,and prioritization of qi circulation.Commonly used formulas include Gualou Xiebai Banxia Decoction and Xuefu Zhuyu Decoction.In cases of heat toxin accumulation in the heart and lungs,therapy follows the principle of clearing heart-lung fire and dredging collaterals,often using combinations of insect-derived medicines and vine-derived herbs,such as earthworm and Chinese star jasmine stem.In instances of heart-lung qi-blood deficiency,the therapeutic approach emphasizes simultaneous fortification and qi and blood circulation.Formulas such as modified Renshen Yangrong Decoction or Shengxian Decoction,combined with Taohong Siwu Decoction,are commonly used.These formulas strengthen qi without stagnating blood,promote blood circulation without harming healthy qi,and gradually eliminate pathogens.These three treatment approaches embody the characteristics of integrated heart-lung therapy,emphasizing dynamic regulation and holistic concepts.The focus remains on addressing both manifestation and root causes through flexible herb selection to achieve optimal therapeutic outcomes.

Objective:To construct a thyroid nodule segmentation model using ultrasound dynamic images and explore its potential for assisting in the screening of thyroid nodules.Methods:A total of 126 patients with thyroid nodules（comprising 150 nodules）who were diagnosed and treated at Xuzhou Cancer Hospital from April 2024 to December 2024 were prospectively enrolled. Two-dimensional ultrasound was performed to capture short-axis and long-axis video images of thyroid nodules，forming a dynamic ultrasound image dataset. The dataset was divided into training，validation，and test sets in a ratio of 6∶1∶3. After the training loss curve converged，the model that performed well on the validation set was selected for testing. Three-fold cross-validation was employed for training and testing. All 300 ultrasound videos were divided into three subsets. In each experiment，two subsets were used as the training set，and one subset was used as the test set to evaluate the model's generalization ability. A collaborative spatiotemporal diffusion model was established based on the dynamic trends and tissue texture details of thyroid nodules. Six widely used segmentation metrics were employed to evaluate the model's application capabilities.Results:The study included 126 patients with 150 thyroid nodules，300 dynamic ultrasound images，and video lengths of 3-4 seconds per nodule，resulting in 12 312 segmented images. The size of the thyroid nodules was（10.7 ± 10.6）mm（transverse diameter）×（8.4 ± 6.3）mm（anteroposterior diameter）. Among the nodules，62（41.3%）had clear boundaries，while 88（58.7%）had indistinct boundaries；61（40.7%）exhibited regular shapes，while 89（59.3%）were irregular；66（44.0%）had a taller-than-wide aspect ratio；and 70（46.7%）showed microcalcifications. The collaborative diffusion model based on dynamic ultrasound image segmentation achieved the following scores：a Jaccard score of（69.22 ± 0.03）%，a Dice score of（79.16 ± 0.18）%，a Precision score of（86.70 ± 0.17）%，a Recall score of（77.82 ± 0.04）%，an Sα score of（85.26 ± 0.01）%，and an Eθmn score of（90.58 ± 0.17）%. Compared to other models，this model demonstrated significant improvements across all evaluation metrics，achieving the highest values in each metric with increments of over 8% and 1%，respectively. Conclusions:The collaborative diffusion model with a dynamic controller，constructed based on dynamic ultrasound images of thyroid nodules，demonstrates excellent performance in ultrasound image segmentation. It improves the accuracy of thyroid nodule screening，thereby providing a valuable auxiliary diagnostic tool for clinical practice.

Objective:To propose a deep learning（DL）-based ultrasound imaging auxiliary tool for automatic segmentation and recognition of the brachial plexus（BP），and to enhance the accuracy and safety of clinical procedures.Methods:It was a multicenter study that collected 773 healthy subjects from Peking University Third Hospital and its branch campuses，the Third Medical Center of the Chinese PLA General Hospital，and Shanghai Eighth People's Hospital between August 2024 and February 2025. Brachial plexus（BP）images in the interscalene groove were captured used high-frequency ultrasound by senior sonographers，a dataset comprising 1 289 standardized images were constructed and the improved model（CHA-TransUNet）was trained. The test set was input into 6 different models（CHA-TransUNet，R50-Unet，TransUnet，SegFormer，SwinUnet，MISSFormer）for segmentation. Segmentation accuracy was evaluated using metrics including the Dice similarity coefficient（DSC），95% Hausdorff distance（HD95）and mean intersection over union（mIoU），and was compared with the segmentation results of 3 ultrasound physicians with varying experience levels（junior physicians and senior physicians）to validate the model's segmentation efficacy.Results:The CHA-TransUNet model established based on a dataset of 1 289 standardized images achieved segmentation results for the BP with a DSC of 90.15%，mIoU of 91.02%，and HD95 of 8.08. Its accuracy was higher than other mainstream models（DSC：90.15% vs. 87.60%，87.77%，81.35%，84.78%，84.55%），significantly better than junior physicians（DSC：90.15% vs. 68.73%， Z=-127.76， P<0.001），and approached the level of senior physician（DSC：90.15% vs. 86.15%， Z=-31.33， P=0.549）. The model demonstrated superior boundary recognition in complex anatomical structures（e.g.，C6/C7 nerve roots）compared to ultrasound physicians（junior and senior）（HD95：8.08 vs. 26.34，17.44，56.80）. Conclusions:This study proposes an analysis model for BP ultrasound images，CHA-TransUNet. This model achieves segmentation and recognition of the BP with relatively complex pathways and structures. The model exhibits high accuracy and stability，outperforming current mainstream network models and junior physicians while approaching the performance level of senior physicians. It assists junior physicians or trainees in more accurately identifying and localizing the BP.

Neuroinflammation is a common pathological feature of neurodegenerative diseases （NDs）. Microglia （MG）， a resident macrophage in the brain with a unique developmental origin， is the core driver of neuroinflammation. It can participate in the occurrence and development of NDs through different polarization states and play a key role in regulating neurogenesis and synapse shaping and maintaining homeostasis. MG can be divided into M1 pro-inflammatory phenotype and M2 anti-inflammatory phenotype according to its function. The inflammatory mediators released by the M1 phenotype can lead to nerve degeneration and myelin sheath damage， while the activation of the M2 phenotype is required to inhibit the inflammatory response and promote tissue repair. With the advantages of multi-pathway， multi-target， and bidirectional regulation， traditional Chinese medicine can regulate the polarization balance of MG and has dual effects on NDs such as Alzheimer's disease， Parkinson's disease， and multiple sclerosis. The active components of traditional Chinese medicine and its compound can inhibit the activation of MG by regulating phosphatidylinositol-3-kinases/protein kinase B（PI3K/Akt）， NOD-like receptor thermal protein domain associated protein 3（NLRP3）， signal transducer and activator of transcription factor1（STAT1）， nuclear transcription factor kappa B（NF-κB）， and other pathways， promote the polarization of M1 phenotype to M2 phenotype， reduce the expression of interleukin（IL）-6， tumor necrosis factor-α（TNF-α）， and other pro-inflammatory factors， and increase the secretion of IL-10， arginase-1（Arg-1）， and other anti-inflammatory factors. It can also reduce β-amyloid deposition and tau protein expression in Alzheimer's disease， alleviate dopaminergic neuronal damage in Parkinson's disease， and relieve demyelination， inflammatory cell infiltration， and related clinical symptoms of multiple sclerosis. The bidirectional regulation of the M1/M2 polarization balance of MG by traditional Chinese medicine is a potential strategy for the treatment of NDs. This paper focused on the targets of the regulation of MG polarization balance by traditional Chinese medicine monomer and its compound in the treatment of NDs， so as to further study and summarize the existing research results and provide ideas and basis for the future treatment of NDs.