Pulmonary hypertension (PH), marked by sustained elevation of pulmonary artery pressure, imposes a heavy burden on the right ventricle and may culminate in right heart failure. Its pathogenesis is multifaceted, encompassing endothelial dysfunction, vascular smooth muscle proliferation, inflammation, thrombosis, and genetic factors. Animal models serve as core tools for exploring PH mechanisms and therapies, each with unique strengths and limitations. The single-dose monocrotaline (MCT) model is one of the most commonly used experimental animal models of PH and is widely applied in mechanistic studies, drug screening, and efficacy evaluation; it offers simplicity and cost-effectiveness, can induce PH within a short period, yet its pathophysiology differs to some extent from human idiopathic PH. In contrast, the Sugen5416 combined with chronic hypoxia model better mimics PH progression by placing animals under hypoxic conditions to induce pulmonary vasoconstriction and vascular remodeling, but it requires a longer modelling time, and the degree of hypoxia has a substantial impact on experimental outcomes. Beyond these two commonly used modeling approaches, a variety of emerging techniques have been applied in PH research; gene-editing technologies enable precise investigation of specific gene functions in PH. Additionally, induced pluripotent stem cell-based 3D organoid technology allows for individualized modelling while preserving patients' genetic information for precise clinical translation. Each model or technology can simulate different aspects of the pathological processes of human PH, and their findings provide key insights into the nature of the disease and serve as an important platform for the development of novel therapeutic targets. This paper comprehensively describes various animal models and emerging technologies used in PH research, analyzing their characteristics, applications, and limitations, with the aim of providing experimental and technical support for the development of new therapeutic strategies and drugs.

Objective: To explore the current status and influencing factors of eating behaviors in adolescents, so as to provide a theoretical foundation for health promotion education among adolescents. Methods: Based on the database from Survey of Chinese Family Health Index (2021), by a random number table method, 1 065 teenagers were selected from the provincial capitals of 22 provinces and 5 autonomous regions in China, as well as 4 municipalities directly under the central government. A general characteristic questionnaire, Patient Health Questionnaire-9 (PHQ-9), Short Form of the Family Health Scale (FHS-SF), 10-item Short Version of the Big Five Personality(BFP-10), Content-based Media Exposure Scale (CM-E) and Sakata Eating Behavior Scale Short Form(EBS-SF) were used to collect information. Multivariate stepwise linear regression analysis was employed to identify and analyze related factors of eating behaviors among adolescents. Receiver operating characteristic was used to validate the predictive ability of the EBS-SF score for overweight and obesity among adolescents. Results: The average scores of BFI-10,C-ME, FHS-SF, PHQ-9 and EBS-SF were (33.08±4.64)(19.20±4.55)(38.48±6.65)(6.09±5.63)(16.75±4.36), respectively. Multivariate linear regression showed that family type (other types), agreeableness, conscientiousness, family health and depression were the main related factors of EBS-SF scores among adolescents( B =2.61,-0.42,0.20,-0.11,0.23, P <0.05).The analysis of receiver operating characteristic curve showed that the EBS-SF scores had a good ability in predicting obesity among male adolescents ( AUC= 0.73, P <0.01). Conclusions Family type, big five personality, family health,depression are the related factors of eating behaviors among adolescents. EBS-SF scores are predictive of obesity in adolescents, which would provide a new perspective for promoting healthy eating habits among adolescents.

The study explores the traditional Chinese medicine （TCM） diagnostic and treatment approach to coronary microvascular disease （CMVD） from the perspective of "disharmony of blood collaterals and dysfunction of qi transformation". It is proposed that the core pathogenesis of CMVD lies in these two mechanisms. From an integrative medicine perspective， different CMVD types are analyzed based on their specific pathogenesis. Through clinical practice， four targeted treatment methods， i.e. warming， unblocking， tonifying， and activating， are formulated. CMVD caused by atherosclerosis is primarily associated with myocardial ischemia， myocardial infarction， and coronary revascularization， with corresponding pathological mechanisms of latent pathogenic obstruction， toxic accumulation in the collaterals， and deficiency with collateral stasis. The disease progression exhibits characteristics of correlation， staging， and transformation. Accordingly， treatment principles include warming to assist qi transformation， unblocking obstruction and dispelling turbidity， activating to disperse toxic stasis and invigorate collaterals， and tonifying to eliminate stasis and nourish collaterals. For CMVD unrelated to atherosclerosis， attention should be paid to the underlying disease， analyzing the main syndromes of blood and collateral disharmony. An approach combining disease-syndrome differentiation with blood and collateral regulation is emphasized for precise treatment.

Objective: To explore the network structure of eating behaviors with anxiety, depression and perceived stress in adolescents, so as to provide a basis for effective prevention and intervention of eating behavior problems and negative emotions in adolescents. Methods: Based on the Psychology and Behavior Investigation of Chinese Residents (2021) database, the study was conducted among 3 087 adolescents. Sakata Eating Behavior Scale Short From(EBS-SF) was used to investigate their eating behaviors. The Patient Health Questionnaire-9(PHQ-9), Generalized Anxiety Disorder Scale-7 Item(GAD-7), and Perceived Stress Questionnaire-3 Item (PSQ-3) were used to evaluate their depression, anxiety and perceived stress. Network analysis method was applied to construct a network of eating behaviors and negative emotional symptoms among adolescents, so as to evaluate the centrality, bridge strength, stability and accuracy of each item. Results: The total scores of eating behaviors, depression,anxiety and stress perception in adolescents were 17.41±4.53,6.95±6.08,4.86±5.03,9.34±3.80,respectively. The symptom with the highest intensity and expected impact was "I am only satisfied when I buy more food than I need", with a node intensity and expected impact value of 4.37. The nodes Depression and Anxiety were the most closely connected(weight=0.87). There were no statistically significant differences in the network structure( M =0.13,0.11) and network connection strength(female and male:4.16,4.06, s =0.10;urban and rural areas:4.08,4.07, s =0.01) between different sexes and residents ( P >0.05). Conclusion The negative impact of comorbidities such as anxiety, depression, perceived stress and eating behaviors among adolescents can be reduced through targeted prevention and intervention of core symptoms and bridging symptoms.

OBJECTIVE: To investigate the effect of manual acupuncture manipulations (MAMs) on subcutaneous muscle tissue, by developing quantitative models of "lifting and thrusting" and "twisting and rotating", based on machine learning techniques. METHODS: A depth camera was used to capture the acupuncture operator's hand movements during "lifting and thrusting" and "twisting and rotating" of needle. Simultaneously, the ultrasound imaging was employed to record the muscle tissue responses of the participants. Amplitude and angular features were extracted from the movement data of operators, and muscle fascicle slope features were derived from the data of ultrasound images. The dynamic time warping barycenter averaging algorithm was adopted to align the dual-source data. Various machine learning techniques were applied to build quantitative models, and the performance of each model was compared. The most optimal model was further analyzed for its interpretability. RESULTS: Among the quantitative models built for the two types of MAMs, the random forest model demonstrated the best performance. For the quantitative model of the "lifting and thrusting" technique, the coefficient of determination (R²) was 0.825. For the "twisting and rotating" technique, R² reached 0.872. CONCLUSION Machine learning can be used to effectively develop the models and quantify the effects of MAMs on subcutaneous muscle tissue. It provides a new perspective to understand the mechanism of acupuncture therapy and lays a foundation for optimizing acupuncture technology and designing personalized treatment regimen in the future.
Humans ; Acupuncture Therapy/methods* ; Machine Learning ; Male ; Adult ; Female ; Subcutaneous Tissue/diagnostic imaging* ; Young Adult

Anxiety disorder is a major symptom of autism spectrum disorder (ASD) with a comorbidity rate of ~40%. However, the neural mechanisms of the emergence of anxiety in ASD remain unclear. In our study, we found that hyperactivity of basolateral amygdala (BLA) pyramidal neurons (PNs) in Shank3 InsG3680 knock-in (InsG3680^+/+) mice is involved in the development of anxiety. Electrophysiological results also showed increased excitatory input and decreased inhibitory input in BLA PNs. Chemogenetic inhibition of the excitability of PNs in the BLA rescued the anxiety phenotype of InsG3680^+/+ mice. Further study found that the diminished control of the BLA by medial prefrontal cortex (mPFC) and optogenetic activation of the mPFC-BLA pathway also had a rescue effect, which increased the feedforward inhibition of the BLA. Taken together, our results suggest that hyperactivity of the BLA and alteration of the mPFC-BLA circuitry are involved in anxiety in InsG3680^+/+ mice.
Animals ; Prefrontal Cortex/metabolism* ; Basolateral Nuclear Complex/metabolism* ; Mice ; Anxiety/metabolism* ; Nerve Tissue Proteins/genetics* ; Male ; Gene Knock-In Techniques ; Pyramidal Cells/physiology* ; Mice, Transgenic ; Neural Pathways/physiopathology* ; Mice, Inbred C57BL ; Microfilament Proteins

Objective To analyze the epidemiological characteristics of acute respiratory infections(ARIs)during the autumn-winter season in Beijing,providing evidence for the prevention,control,diagnosis,and treatment of ARIs.Methods A convenience sampling method was employed,enrolling patients who visited Peking Union Medical College Hospital(PUMCH)between September 2023 and February 2024 due to ARIs.Na-sopharyngeal swabs were collected,and real-time fluorescence quantitative PCR was used to detect six common respiratory pathogens[influenza A virus(FluA),influenza B virus(FluB),human rhinovirus(HRV),Myco-plasma pneumoniae(MP),respiratory syncytial virus(RSV),and adenovirus(ADV)],as well as SARS-CoV-2 infection.The distribution patterns of pathogen infections were analyzed.Results A total of 5556 eligible patients were included.The overall positivity rate for the six common respiratory pathogens was 63.7％,with sin-gle-pathogen positivity at 54.0％,dual-pathogen positivity at 8.9％,and triple or more pathogen positivity at 0.7％.The predominant pathogens detected were FluA(16.1％)and RSV(15.7％),followed by ADV(11.1％),MP(11.1％),HRV(10.0％),and FluB(10.0％).No significant difference in overall pathogen positivity was observed between genders.However,significant differences were found between autumn and winter(x2=34.617,P＜0.001)and among pediatric,young/middle-aged,and elderly patients(x2=422.38,P＜0.001).Specifically,MP(x2=8.647,P=0.003),FluA(x2=131.932,P＜0.001),and HRV(x2=174.199,P＜0.001)exhibited significantly higher positivity rates in autumn than in winter,whereas FluB was more prevalent in winter(x2=287.894,P＜0.001).In pediatric patients,MP,RSV,HRV,and ADV positivity rates were significantly higher than in young/middle-aged and elderly patients(all P＜0.001),whereas FluB was more common in young/middle-aged patients(both P＜0.001).The positivity rates of the six common respiratory pathogens significantly declined during the SARS-CoV-2 epidemic period,exhibiting an asynchronous seasonal pattern.Conclusions The prevalence of respiratory pathogens in Beijing is associated with age and season.Tar-geted preventive measures should be implemented in different seasons and for key populations.

Based on the clinical thinking of combining diseases and patterns， we combined disease identification， pattern differentiation， and constitution identification， and put forward the theory of identifying and treating critical hypertension， which is "examining the symptoms first， identifying the constitutions as reference， and combining the diseases and patterns". Firstly， the starting point of identifying the disease is to examine the symptoms， and those with precise diagnosis and strong specificity will be diagnosed with the disease， while those with relatively broad diagnosis and fuzzy characteristics will be emphasised on identifying constitutions and differentiating patterns. Focusing on the impact of constitution identification on disease identification and pattern differentiation， constitution identification could be the basis when no symptoms to identify， and based on the theory of "constitution-disease correlation" and "constitution-pattern correlation" to improve the understanding of borderline hypertension from the group and individual level， which helps to identify and predict the development of the diseases and patterns； if the symptoms are complicated and difficult to identify， it is necessary to take syndrome as the outline， use the syndrome to unify the disease， and then refer to the constitution to legislate and prescribe medications. This paper summarizes the traditional Chinese medicine clinical differentiation and treatment strategy of borderline hypertension clear and easy to grasp， with a view to provide a feasible and efficient reference for prevention and treatment of borderline hypertension with traditional Chinese medicine.

Objective:To investigate the clinicopathological and genetic characteristics of neuromuscular choristoma-associated desmoid type fibromatosis (NMC-DF).Methods:The clinical morphological and immunohistochemical features of 7 NMC-DF cases diagnosed from January 2013 to January 2023 in Beijing Jishuitan Hospital were retrospectively analyzed. A series of neuromuscular choristoma and neuromuscular choristoma-associated desmoid type fibromatosis were evaluated for CTNNB1 mutations, and hotspot mutations for CTNNB1 were tested in 4 NMC-DF cases using Sanger sequencing.Results:The tumors were collected from 3 females and 4 males, aged 1 to 22 years (mean 7.1 years), involving the sciatic nerve ( n=4), brachial plexus ( n=2) or multiple nerves ( n=1). The course of the disease spanned from 3 months to 10 years. Two cases were recurrent tumors. All the 7 NMC cases showed endoneurial intercalation of mature skeletal muscle fibers among the peripheral nerve fascicles, and the histologic features of the NMC-DF were strikingly similar to the conventional desmoid-type fibromatosis. By immunohistochemistry, all NMC and NMC-DF cases showed aberrant nuclear staining of β-catenin (7/7), the muscle cells in NMC were intensely immunoreactive for desmin, and the admixed nerve fibers were highlighted by NF and S-100 (7/7). Four NMC and NMC-DF had CTNNB1 mutations, 3 c.121A>G (p.T41A) and 1 c.134C>T (p.S45F). Follow-up of the 7 cases, ranging from 22 to 78 months, showed tumor recurrence in 2 patients at 3 and 8 months respectively after the first surgical resection, of which 1 patient underwent above-knee amputation. No recurrence occurred in other cases with tumor excision and neurological reconstruction surgery. There was no metastasis occurred in the 7 cases. Conclusions:NMC is a rare congenital lesion with differentiated mature skeletal muscle tissue found in peripheral nerve fascicles, and approximately 80% of patients with NMC develop a soft tissue fibromatosis. CTNNB1 mutation in the Wnt signaling pathway may be involved in the pathogenesis of NMC and NMC-DF, and S45F mutations seems to have a higher risk of disease progression.

Objective To observe the drainage pathways of interstitial fluid(ISF)and substance clearance pattern in rat brain with fluorescence tracing imaging and treacer-based MRI.Methods Thirty-three male SD rats were randomly divided into fluorescence tracing group(F group,n=18)and treacer-based MRI group(MRI group,n=15),then further divided into thalamic,hippocampal and caudate nucleus subgroups,respectively.Evans blue was injected to rats in F group,and cardiac perfusion was performed after injection,then brain tissue was harvested,and frozen sections were made to observe the drainage pathways of IFS in different subgroups.MRI was performed on rats in MRI group before and after injection of gadolinium-diethylenetriamine pentaacetic acid(Gd-DTPA)to observe signal intensity in ROI of brain regions in different subgroups,the signal unit ratio was calculated,and the changing trend was explored.Results ISF in thalamus,hippocampus and caudate nucleus had different dominant drainage pathways,and the time of tracer reached to adjacent brain regions and whole brain in F group were different.In MRI group,within 4 h after injection of Gd-DTPA,there were differences in direction and clearance rate among tracer in thalamus,hippocampus and caudate nucleus,mainly manifesting as the tracer in thalamus and hippocampus drained to the ipsilateral cortex and lateral ventricle,while the tracer in the caudate nucleus diffused to the cortex and midbrain,and there were differences of the peak time of tracer signal among adjacent drainage brain regions.Conclusion Fluorescence and MR dual-mode imaging showed that there were differences in the dominant drainage pathways of IFS and clearance rates of small molecule substances among hypothalamus,hippocampus and caudate nucleus of rats.