OBJECTIVE: To propose a machine learning-based method for predicting the trajectories during manual acupuncture manipulation (MAM), aiming to improve the precision and consistency of acupuncture practitioner' operation and provide the real-time suggestions on MAM error correction. METHODS: Computer vision technology was used to analyze the hand micromotion when holding needle during acupuncture, and provide a three-dimensional coordinate description method of the index finger joints of the holding hand. Focusing on the 4 typical motions of MAM, a machine learning-based MAM trajectory predictive model was designed. By integrating the changes of phalangeal joint angle and hand skeletal information of acupuncture practitioner, the motion trajectory of the index finger joint was predicted accurately. Besides, the roles of machine learning-based MAM trajectory predictive model in the skill transmission of acupuncture manipulation were verified by stratified randomized controlled trial. RESULTS: The performance of MAM trajectory predictive model, based on the long short-term memory network (LSTM), obtained the highest stability and precision, up to 98%. The learning effect was improved when the model applied to the skill transmission of acupuncture manipulation. CONCLUSION The machine learning-based MAM predictive model provides acupuncture practitioner with precise action prediction and feedback. It is valuable and significant for the inheritance and error correction of manual operation of acupuncture.
Humans ; Acupuncture Therapy/instrumentation* ; Machine Learning ; Adult ; Male ; Female

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

Retrieving keyframes most relevant to text from small intestine videos with given labels can efficiently and accurately locate pathological regions. However, training directly on raw video data is extremely slow, while learning visual representations from image-text datasets leads to computational inconsistency. To tackle this challenge, a small bowel video keyframe retrieval based on multi-modal contrastive learning (KRCL) is proposed. This framework fully utilizes textual information from video category labels to learn video features closely related to text, while modeling temporal information within a pretrained image-text model. It transfers knowledge learned from image-text multimodal models to the video domain, enabling interaction among medical videos, images, and text data. Experimental results on the hyper-spectral and Kvasir dataset for gastrointestinal disease detection (Hyper-Kvasir) and the Microsoft Research video-to-text (MSR-VTT) retrieval dataset demonstrate the effectiveness and robustness of KRCL, with the proposed method achieving state-of-the-art performance across nearly all evaluation metrics.
Humans ; Video Recording ; Intestine, Small/diagnostic imaging* ; Machine Learning ; Image Processing, Computer-Assisted/methods* ; Algorithms

The prefrontal cortex (PFC) plays a pivotal role in orchestrating higher-order emotional and cognitive processes, a function that depends on the precise modulation of synaptic activity. Although pharmacological studies have demonstrated that dopamine signaling through dopamine D1 receptor (DRD1) in the PFC is essential for these functions, the cell-type-specific and molecular mechanisms underlying the neuromodulatory effects remain elusive. Using cell-type-specific knockout mice and patch-clamp recordings, we investigated the regulatory role of DRD1 on neurons and astrocytes in synaptic transmission and plasticity. Furthermore, we explored the mechanisms by which DRD1 on astrocytes regulate synaptic transmission and plasticity at the cellular level, as well as emotional and cognitive functions at the behavioral level, through two-photon imaging, microdialysis, high-performance liquid chromatography, transcriptome sequencing, and behavioral testing. We found that conditional knockout of the Drd1 in astrocytes (CKO^AST) increased glutamatergic synaptic transmission and long-term potentiation (LTP) in the medial prefrontal cortex (mPFC), whereas Drd1 deletion in pyramidal neurons did not affect synaptic transmission. The elevated level of d-serine in the mPFC of CKO^AST mice increased glutamatergic transmission and LTP through NMDA receptors. In addition, CKO^AST mice exhibited abnormal emotional and cognitive function. Notably, these behavioral changes in CKO^AST mice could be reversed through the administration of d-serine degrease to the mPFC. These results highlight the critical role of the astrocytic DRD1 in modulating mPFC synaptic transmission and plasticity, as well as higher brain functions through d-serine, and may shed light on the treatment of mental disorders.

Objective To analyze risk factors for pulmonary vein obstruction (PVO) after intracardiac total anomalous pulmonary venous connection (TAPVC) repair. Methods A retrospective analysis of clinical data of the patients with intracardiac TAPVC who underwent surgery at our center from April 2009 to April 2019 was conducted. Kaplan-Meier curves were used to assess the risk of postoperative PVO. Logistic regression analysis was used to identify relevant risk factor for postoperative PVO. Results We finally included 169 patients. The median age at surgery was 89.0 (41.5, 195.0) days, and the median weight at surgery was 4.8 (3.8, 6.0) kg. The preoperative PVO rate was 18.3% (31/169). Post-repair PVO occurred in 8.9% (15/169) of the patients. The atresia of common pulmonary and subtype of coronary sinus/right atrium did not significantly affect the risk of PVO (P=0.053, P=0.330). Relevant risk factors included preoperative PVO (P<0.001) and the ratio of left ventricular end-systolic diameter to right ventricular diameter (P=0.025). Conclusion Surgical repair of intracardiac TAPVC has achieved satisfactory results in our center, but the long-term risk of obstruction should not be underestimated. An increased ratio of left ventricular end-systolic diameter to right ventricular diameter and preoperative PVO are associated with post-repair PVO.

Objective:To investigate the current status of malnutrition and its influential factors among patients with stroke and dysphagia, and to develop and validate a malnutrition risk prediction model.Methods:Using a convenience sampling method, 150 patients with stroke and dysphagia admitted to Wenzhou Central Hospital from January 2019 to December 2023 were included in this study. Through a review of the literature and expert consultations, 15 influential factors were identified: age, gender, body mass index (BMI), history of smoking alcohol consumption , number of hospitalizations, education level, Barthel index, history of hypertension, history of diabetes, coronary heart disease, presence of limb disabilities, hemoglobin levels, Glasgow Coma Scale (GCS) score, and National Institutes of Health Stroke Scale score. Patients were categorized into malnutrition and normal groups based on the occurrence of malnutrition. The influential factors for malnutrition were analyzed, and a malnutrition risk prediction model was constructed using regression analysis. The model was presented using a nomogram and subsequently validated.Results:Among the 150 patients with stroke and dysphagia, the average age was (59.34 ± 6.46) years, with 83 females and 67 males. Of these patients, 66 (44.00%) were found to be malnourished. The following factors were identified as independent risk factors for malnutrition in patients with stroke and dysphagia: age (χ2 = 4.03, P = 0.045), BMI ( t = 6.33, P < 0.001), alcohol consumption (χ2 = 3.90, P = 0.048), number of hospitalizations (χ2 = 9.45, P = 0.024), Barthel index (χ2 = 7.78, P = 0.020), presence of limb disabilities (χ2 = 4.64, P = 0.031), hemoglobin levels (χ2 = 4.38, P = 0.036), and GCS score (χ2 = 9.83, P = 0.007) (all P < 0.05). Patients who were older, had a BMI < 18.5 kg/m2, consumed alcohol, had more than five hospitalizations, a Barthel index < 40, limb disabilities, abnormal hemoglobin levels, or a GCS score ≤ 11 were more likely to experience malnutrition (all P < 0.05). The C-index for predicting malnutrition was 0.851, with a 95% CI of (0.809, 0.892). The maximum Youden index was 0.562, with a sensitivity of 84.1% and specificity of 72.1%. Conclusion:The risk factors for malnutrition in patients with stroke and dysphagia include advanced age, alcohol consumption, more than five hospitalizations, limb disabilities, and abnormal hemoglobin levels. Protective factors against malnutrition in these patients are a BMI > 23.9 kg/m2, a Barthel index > 60, and a GCS score ≥ 14. The prediction model demonstrates a significant predictive value for the occurrence of malnutrition in patients with stroke and dysphagia.

Objective:To evaluate the clinical survival rates and influence factors of different types of resin-bonded fixed partial dentures (RBFPD) used in anterior missing teeth restoration.Methods:Ninety-three RBFPD were delivered to 92 patients [92 patients,43 males and 49 females, average age (46.1±12.8) years] who visited Peking University School and Hospital of Stomatology from January 2006 to December 2021 for restoration of 1 or 2 anterior missing teeth. Altogether 32 cases of glass fiber reinforced RBFPD, 39 cases of glass-based ceramic RBFPD and 22 cases of porcelain-fused-to-metal RBFPD were retrospectively analyzed. The complete survival rate, functional survival rate, patients′ satisfaction and color matching of the restorations were recorded and evaluated every year since the replacement with RBFPD. The Kaplan-Meier survival curve method was used for survival analysis, and the Log-rank analysis was used to compare the effect of the number of missing teeth, position (maxillary or mandibular), cantilever or non-cantilever and gender on the survival rate of the restorations.Results:The overall survival time for the 93 RBFPD was 13.7 years (95% CI: 12.3-15.1 years). There was a decreasing trend in complete survival and functional survival for all three material RBFPD from year to year, but complete and functional survival rates exceeded 90% at year 5 and exceeded 80% at year 10. The complete survival rate of the glass-ceramic RBFPD was higher than the other two during the follow-up period, with a complete survival rate of 90% (35/39) at year 15. The porcelain-fused-to-metal RBFPD had a higher functional survival rate in years 1-8, but the complete and functional survival rates showed a substantial decrease after year 9. The single-factor Log-rank analysis showed that the success rate of porcelain-fused-to-metal RBFPD was significantly higher than that of glass fiber reinforced RBFPD (χ2=7.33, P=0.007), and the success rate of RBFPD with 1 missing tooth restored was significantly higher than that of RBFPD with 2 missing teeth restored (χ2=3.23, P=0.072). The differences in success rates between different restoration positions (maxillary and mandibular), cantilever or non-cantilever, and gender factors were not statistically significant (χ2=2.26, P=0.133; χ2=0.68, P=0.411; χ2=1.07, P=0.300). Conclusions:For the restoration of individual missing anterior teeth, both porcelain-fused-to-metal RBFPD and glass-based ceramic RBFPD achieve a high long-term clinical success rate, with glass-based ceramic RBFPD being more able to ensure long-term restorative result.

Objective:To explore the clinical characteristics and medical nutritional therapy of 6 patients with late-onset ornithine transcarbamylase (OTC) deficiency.Methods:The clinical features, biochemical data, gene variations and treatment outcomes of 6 children with late-onset OTC deficiency admitted to the Department of Clinical Nutrition, Children′s Hospital of Nanjing Medical University from January 2020 to April 2022 were retrospectively analyzed.The 6 patients were all intervened by a long-term medical nutrition management.Results:Liver dysfunction and hyperammonemia (172.1-348.0 μmol/L) were found in all the 6 children with late-onset OTC deficiency.Serum citrulline decreased in 3 patients (3.95-5.43 μmol/L). Three patients showed increased urine orotic acid (123.48-342.60 mmol/mol Cr). Urine uracil increased in 4 patients (106.77-1 207.26 mmol/mol Cr). Variations of the OTC gene [c.364G>C p. (E122Q), c.1028C>G p. (T343R), c.664-2(IVS6)A>C, c.635G>T p. (G212V), c.929_c.931delAAG p. (E310del), c.829C>T p. (R277W)] were identified in all patients.The 6 children were all managed by individualized medical nutrition program and followed up for a long time.During the follow-up period, 3 cases developed hypoproteinemia, acute metabolic crisis and growth retardation, 3 cases had normal growth and laboratory indicators, and 1 case received liver transplantation after 3 months of nutritional management. Conclusions:The clinical manifestations of OTC deficiency are non-specific.Blood amino acids, urine organic acids and genetic tests are important for the diagnosis.Long-term regular medical nutrition management is helpful to improve the prognosis and quality of life of children.

Ischemic stroke， an acute cerebrovascular disease caused by sudden arterial occlusion， is characterized by high morbidity， high mortality， and high disability rate. It is a major cause of the occurrence and death of neurologic diseases in the world. The phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt） signaling pathway is a classic pathway for cellular metabolism， growth， and apoptosis. In recent years， Chinese medicine has played an important role in the treatment of ischemic stroke because of the small side effects and wide range of targets and has received extensive attention. The compound prescriptions and extracts of Chinese medicines can treat diseases via multiple targets and pathways. Researchers have extensively studied the occurrence and development of ischemic stroke and the pathophysiological mechanism of drug intervention in the treatment of ischemic stroke and have demonstrated that PI3K/Akt signaling pathway plays a key role in this process. The PI3K/Akt signaling pathway is involved in the occurrence and development of ischemic stroke by regulating pathophysiological processes such as inflammation， oxidative stress response， apoptosis， and autophagy， in which Chinese medicines play a regulatory role. This paper reviews the relationship between PI3K/Akt signaling pathway and ischemic stroke and the mechanism of Chinese medicine in treating ischemic stroke by regulating PI3K/Akt signaling pathway， aiming to provide a new theoretical basis for the clinical treatment of stroke.

Gluconobacter oxydans are widely used in industrial due to its ability of oxidizing carbohydrate rapidly. However, the limited gene manipulation methods and less of efficient gene editing tools impose restrictions on its application in industrial production. In recent years, the clustered regularly interspaced short palindromic repeats (CRISPR) system has been widely used in genome editing and transcriptional regulation which improves the efficiency of genome editing greatly. Here we constructed a CRISPR/dCpf1-mediated gene transcriptional repression system, the expression of a nuclease inactivation Cpf1 protein (dCpf1) in Gluconobacter oxydans together with a 19 nt direct repeats showed effective repression in gene transcription. This system in single gene repression had strong effect and the relative repression level had been increased to 97.9%. While it could be applied in multiplex gene repression which showed strong repression ability at the same time. Furthermore, this system was used in the metabolic pathway of L-sorbose and the regulatory of respiratory chain. The development of CRISPR transcriptional repression system effectively covered the shortage of current gene regulation methods in G. oxydans and provided an efficient gene manipulation tool for metabolic engineering modification in G. oxydans.
CRISPR-Cas Systems/genetics* ; Clustered Regularly Interspaced Short Palindromic Repeats/genetics* ; Gene Editing ; Gene Expression ; Gluconobacter oxydans/genetics* ; Metabolic Engineering