PURPOSE: This study aimed to evaluate the accuracy of the ultrasonic jaw tracking system by comparing with the conventional electronic system in recording condylar movements. MATERIALS AND METHODS: Twenty-six subjects with normal occlusion participated in the study. The CADIAX® 4 and Jaw Motion Analyzer (JMA) systems were used to record condylar movement trajectories during mandibular border movements (protrusive/retrusive, lateral, and wide mouth opening), with each movement repeated three times. Both systems used facebows and sensors to locate the condylar axis points and capture movement trajectory data. Paired t-tests were used for normally distributed data, while the Wilcoxon rank-sum test was applied to non-normally distributed data. The level of significance was set at α = .05. RESULTS: The maximum condylar displacement in the sagittal plane during mandibular border movements and the sagittal condylar inclination (SCI) values on both the left and right sides showed no significant difference between the two systems (P > .05). The Bennett angle (BA) values on both the left and right sides measured by the JMA system were significantly higher than those measured by the CADIAX® 4 system (P < .05). The comfort levels of the JMA system were significantly higher than the CADIAX® 4 system (P < .05). CONCLUSION Through this study, it was found that the accuracy of the ultrasonic jaw tracking system was comparable with the conventional electronic system, except for the Bennett angle measurement. In terms of comfort and ease of use, the ultrasonic jaw tracking system is more favored.

PURPOSE: This study aimed to evaluate the accuracy of the ultrasonic jaw tracking system by comparing with the conventional electronic system in recording condylar movements. MATERIALS AND METHODS: Twenty-six subjects with normal occlusion participated in the study. The CADIAX® 4 and Jaw Motion Analyzer (JMA) systems were used to record condylar movement trajectories during mandibular border movements (protrusive/retrusive, lateral, and wide mouth opening), with each movement repeated three times. Both systems used facebows and sensors to locate the condylar axis points and capture movement trajectory data. Paired t-tests were used for normally distributed data, while the Wilcoxon rank-sum test was applied to non-normally distributed data. The level of significance was set at α = .05. RESULTS: The maximum condylar displacement in the sagittal plane during mandibular border movements and the sagittal condylar inclination (SCI) values on both the left and right sides showed no significant difference between the two systems (P > .05). The Bennett angle (BA) values on both the left and right sides measured by the JMA system were significantly higher than those measured by the CADIAX® 4 system (P < .05). The comfort levels of the JMA system were significantly higher than the CADIAX® 4 system (P < .05). CONCLUSION Through this study, it was found that the accuracy of the ultrasonic jaw tracking system was comparable with the conventional electronic system, except for the Bennett angle measurement. In terms of comfort and ease of use, the ultrasonic jaw tracking system is more favored.

PURPOSE: This study aimed to evaluate the accuracy of the ultrasonic jaw tracking system by comparing with the conventional electronic system in recording condylar movements. MATERIALS AND METHODS: Twenty-six subjects with normal occlusion participated in the study. The CADIAX® 4 and Jaw Motion Analyzer (JMA) systems were used to record condylar movement trajectories during mandibular border movements (protrusive/retrusive, lateral, and wide mouth opening), with each movement repeated three times. Both systems used facebows and sensors to locate the condylar axis points and capture movement trajectory data. Paired t-tests were used for normally distributed data, while the Wilcoxon rank-sum test was applied to non-normally distributed data. The level of significance was set at α = .05. RESULTS: The maximum condylar displacement in the sagittal plane during mandibular border movements and the sagittal condylar inclination (SCI) values on both the left and right sides showed no significant difference between the two systems (P > .05). The Bennett angle (BA) values on both the left and right sides measured by the JMA system were significantly higher than those measured by the CADIAX® 4 system (P < .05). The comfort levels of the JMA system were significantly higher than the CADIAX® 4 system (P < .05). CONCLUSION Through this study, it was found that the accuracy of the ultrasonic jaw tracking system was comparable with the conventional electronic system, except for the Bennett angle measurement. In terms of comfort and ease of use, the ultrasonic jaw tracking system is more favored.

PURPOSE: This study aimed to evaluate the accuracy of the ultrasonic jaw tracking system by comparing with the conventional electronic system in recording condylar movements. MATERIALS AND METHODS: Twenty-six subjects with normal occlusion participated in the study. The CADIAX® 4 and Jaw Motion Analyzer (JMA) systems were used to record condylar movement trajectories during mandibular border movements (protrusive/retrusive, lateral, and wide mouth opening), with each movement repeated three times. Both systems used facebows and sensors to locate the condylar axis points and capture movement trajectory data. Paired t-tests were used for normally distributed data, while the Wilcoxon rank-sum test was applied to non-normally distributed data. The level of significance was set at α = .05. RESULTS: The maximum condylar displacement in the sagittal plane during mandibular border movements and the sagittal condylar inclination (SCI) values on both the left and right sides showed no significant difference between the two systems (P > .05). The Bennett angle (BA) values on both the left and right sides measured by the JMA system were significantly higher than those measured by the CADIAX® 4 system (P < .05). The comfort levels of the JMA system were significantly higher than the CADIAX® 4 system (P < .05). CONCLUSION Through this study, it was found that the accuracy of the ultrasonic jaw tracking system was comparable with the conventional electronic system, except for the Bennett angle measurement. In terms of comfort and ease of use, the ultrasonic jaw tracking system is more favored.

To address the problem of large reconstruction errors in 3D pulse signals caused by excessively small out-of-plane displacement of the contact membrane in the existing traditional Chinese medicine fingertip tactile binocular vision detection technology, this study proposes a 3D pulse image detection method based on subtle motion magnification technology and explores its application in pulse pattern recognition. Firstly, a 3D pulse image detection system based on binocular vision to obtain pulse image signals is developed as experimental data. Then, the phase motion video magnification algorithm is used to amplify the original signals, and the amplified signals are reconstructed in three dimensions to obtain 3D pulse signals. On this basis, nine features are extracted from the 3D pulse signals and features selection is performed using a two-sample Kolmogorov-Smirnov test. Finally, machine learning algorithms such as decision trees and random forests are used to identify the five types of pulse conditions: deep pulse, intermittent pulse, flooding pulse, slippery pulse, and rapid pulse. The experimental results show that compared to the methods without subtle motion magnification technology, the proposed method significantly improves waveform clarity, amplitude stability, and periodic regularity. Meanwhile, the average accuracy in pulse pattern recognition reaches 96.29%±0.26%.
Algorithms ; Imaging, Three-Dimensional/methods* ; Pattern Recognition, Automated ; Medicine, Chinese Traditional ; Motion ; Humans ; Pulse ; Signal Processing, Computer-Assisted ; Machine Learning

Stearoyl-coenzyme A desaturase 1 (SCD1) catalyzes the rate-limiting step of de novo lipogenesis and modulates lipid homeostasis. Although numerous SCD1 inhibitors were tested for treating metabolic disorders both in preclinical and clinic studies, the tissue-specific roles of SCD1 in modulating obesity-associated metabolic disorders and determining the pharmacological effect of chemical SCD1 inhibition remain unclear. Here a novel role for intestinal SCD1 in obesity-associated metabolic disorders was uncovered. Intestinal SCD1 was found to be induced during obesity progression both in humans and mice. Intestine-specific, but not liver-specific, SCD1 deficiency reduced obesity and hepatic steatosis. A939572, an SCD1-specific inhibitor, ameliorated obesity and hepatic steatosis dependent on intestinal, but not hepatic, SCD1. Mechanistically, intestinal SCD1 deficiency impeded obesity-induced oxidative stress through its novel function of inducing metallothionein 1 in intestinal epithelial cells. These results suggest that intestinal SCD1 could be a viable target that underlies the pharmacological effect of chemical SCD1 inhibition in the treatment of obesity-associated metabolic disorders.

In recent years, the spread of clubroot disease caused by Plasmodiophora brassicae infection has seriously affected the yield and quality of Brassica juncea (L.) Czern.. The cascade of mitogen-activated protein kinases (MAPKs), a highly conserved signaling pathway, plays an important role in plant responses to both biotic and abiotic stress conditions. To mine the MAPK genes related to clubroot disease resistance in B. juncea, we conducted a genome-wide analysis on this vegetable, and we analyzed the phylogenetic evolution and gene structure of the MAPK gene family in mustard. The 66 BjuMAPK genes identified by screening the whole genome sequence of B. juncea were unevenly distributed on 17 chromosomes. At the genomic scale, tandem repeats led to an increase in the number of MAPK genes in B. juncea. It was found that members of the same subfamily had similar gene structures, and there were great differences among different subfamilies. These predicted cis-acting elements were related to plant hormones, stress resistance, and plant growth and development. The expression of BjuMAPK02, BjuMAPK15, BjuMAPK17, and BjuMAPK19 were down-regulated or up-regulated in response to P. brassicae infection. The above results lay a theoretical foundation for further studying the functions of BjuMAPK genes in B. juncea in response to the biotic stress caused by clubroot disease.
Mustard Plant/parasitology* ; Plasmodiophorida/pathogenicity* ; Plant Diseases/genetics* ; Mitogen-Activated Protein Kinases/metabolism* ; Phylogeny ; Disease Resistance/genetics* ; Gene Expression Regulation, Plant ; Genome, Plant ; Plant Proteins/genetics*

OBJECTIVE: To observe the effects of Huayu Tongluo (transforming stasis and unblocking collaterals) moxibustion on learning-memory ability and hippocampal mammalian sterile 20-like kinase 1 (Mst1)/nuclear factor κB (NF-κB) p65 pathway related to inflammatory response in rats with vascular dementia (VD). METHODS: A total of 60 male Wistar rats of SPF grade were randomly divided into a sham operation group (12 rats) and a modeling group (48 rats). VD model was established by the method of modified bilateral common carotid artery permanent ligation in the modeling group. Thirty-six rats with successful modeling were randomly divided into a model group, a moxibustion group and a western medication group, with 12 rats in each group. Huayu Tongluo moxibustion was applied at "Dazhui" (GV14), "Baihui" (GV20) and "Shenting" (GV24) in the moxibustion group, 20 min each time, once a day, 7 day-intervention was as one course, and 1 day-interval was taken between two courses, for a total of 3 courses. In the western medication group, piracetam was given 0.72 mg/kg by intragastric administration, twice a day, the course of intervention was same as that of the moxibustion group. The learning-memory ability was detected by Morris water maze test; the morphology of hippocampal CA1 region was observed by HE staining; the mRNA expression of Mst1, M1 microglia markers CD86, interleukin-6 (IL-6) and tumor necrosis factor-α (TNF-α) was detected by real-time PCR; the levels of IL-6 and TNF-α in hippocampus were detected by ELISA; and the protein expression of Mst1 and NF-κB p65 in hippocampus was detected by Western blot in rats of each group. RESULTS: Compared with the sham operation group, the escape latency was prolonged in the model group (P<0.05); compared with the model group, the escape latency was shortened in the moxibustion group and the western medication group (P<0.05). The cells in the CA1 region of hippocampus were disordered, cell collapse and irregular nuclei could be observed in the model group; compared with the model group, the cell arrangement in the CA1 region of hippocampus was more regular, and the damage was improved in the moxibustion group and the western medication group. Compared with the sham operation group, the mRNA expression of Mst1, CD86, IL-6 and TNF-α, as well as the protein expression of Mst1, NF-κB p65 in hippocampus were increased in the model group (P<0.05). Compared with the model group, the mRNA expression of Mst1, CD86, IL-6 and TNF-α, as well as the protein expression of Mst1, NF-κB p65 in hippocampus were decreased in the moxibustion group and the western medication group (P<0.05). Compared with the sham operation group, the levels of IL-6 and TNF-α in hippocampus were increased in the model group (P<0.05). Compared with the model group, the levels of IL-6 and TNF-α in hippocampus were decreased in the moxibustion group and the western medication group (P<0.05). CONCLUSION Huayu Tongluo moxibustion can improve the learning-memory ability of VD rats, the mechanism may be related to regulating the activation of microglia through Mst1/NF-κB p65 pathway, reducing the release of pro-inflammatory factors i.e. IL-6 and TNF-α, so as to alleviating the damage of inflammatory factors in the hippocampus of VD rats.
Animals ; Male ; Rats ; Moxibustion ; Hippocampus/metabolism* ; Rats, Wistar ; Dementia, Vascular/genetics* ; Memory/drug effects* ; Humans ; Transcription Factor RelA/genetics* ; Learning ; Protein Serine-Threonine Kinases/genetics* ; Acupuncture Points ; Interleukin-6/genetics* ; Signal Transduction/drug effects* ; Drugs, Chinese Herbal

The paper summarizes Professor YANG Jun's experience in treatment of refractory facial paralysis with the refined mode of acupuncture and moxibustion, so as to provide new ideas and methods for the disease treated with acupuncture and moxibustion. Professor YANG Jun puts forward the refined mode of diagnosis and treatment of acupuncture and moxibustion for refractory facial paralysis. On the basis of syndrome/pattern differentiation of TCM, combined with meridian theory and modern anatomy, the symptom differentiation and meridian differentiation are performed accurately. By selecting local acupoints (e.g. Touwei [ST8], Sibai [ST2], Cuanzhu [BL2] and Yangbai [GB14]), distal acupoints (e.g. Zusanli [ST36], Hegu [LI4] and Jinsuo [GV8]), specific acupoints (e.g.Qianzheng [EX-HN16] and Touqiaoyin [GB11]) and the acupoints for regulating the mind (e.g. Dazhui [GV14] and Shuigou [GV26]), the prescription is composed. The different needling techniques are delivered at the acupoints (e.g. point-to-point needling with long needle, stuck needling by lifting and dragging, and balance needling on the healthy side). Besides, the facial rehabilitation is considered as the adjuvant treatment. This mode of treatment obtains the precise diagnosis and treatment to achieve the utmost therapeutic effects.
Humans ; Moxibustion ; Acupuncture Therapy/history* ; Facial Paralysis/therapy* ; Acupuncture Points ; Male ; Meridians ; Female ; History, 21st Century ; History, 20th Century

Objective Based on 25 indicators including immune factors, cell count classification, and smear results of the knee joint fluid, machine learning models were established to distinguish between osteoarthritis (OA) and rheumatoid arthritis (RA). Methods 100 OA and 40 RA patients scheduled for total knee arthroplasty were enrolled respectively. Each patient's knee joint fluid was collected preoperatively. Nucleated cells were counted and classified. The expression levels of immune factors, including tumor necrosis factor alpha (TNF-α), interleukin-1 beta (IL-1β), IL-6, IL-8, IL-15, matrix metalloproteinase 3 (MMP3), MMP9, MMP13, rheumatoid factor (RF), serum amyloid A (SAA), C-reactive protein (CRP), and others were measured. Smears and microscopic classification of all the immune factors were performed. Independent influencing factors for OA or RA were identified using univariate binary logistic regression, Lasso regression, and multivariate binary logistic regression. Based on the independent influencing factors, three machine learning models were constructed which are logistic regression, random forest, and support vector machine. Receiver operating characteristic curve (ROC), calibration curve and decision curve analysis (DCA) were used to evaluate and compare the models. Results A total of 5 indicators in the knee joint fluid were screened out to distinguish OA and RA, which were IL-1β(odds ratio(OR)=10.512, 95× confidence interval (95×CI) was 1.048-105.42, P=0.045), IL-6 (OR=1.007, 95×CI was 1.001-1.014, P=0.022), MMP9 (OR=3.202, 95×CI was 1.235-8.305, P=0.017), MMP13 (OR=1.002, 95× CI was 1-1.004, P=0.049), and RF (OR=1.091, 95×CI was 1.01-1.179, P=0.026). According to the results of ROC, calibration curve and DCA, the accuracy (0.979), sensitivity (0.98) and area under the curve (AUC, 0.996, 95×CI was 0.991-1) of the random forest model were the highest. It has good validity and feasibility, and its distinguishing ability is better than the other two models. Conclusion The machine learning model based on immune factors in the knee joint fluid holds significant value in distinguishing OA and RA. It provides an important reference for the clinical early differential diagnosis, prevention and treatment of OA and RA.
Humans ; Arthritis, Rheumatoid/metabolism* ; Machine Learning ; Male ; Female ; Middle Aged ; Aged ; Synovial Fluid/immunology* ; Osteoarthritis, Knee/metabolism* ; Knee Joint/metabolism* ; ROC Curve ; Diagnosis, Differential