Objective: To investigate whether membrane vesicles (MVs) of Streptococcus mutans （S.mutans） contain autoinducer-2 (AI-2) and to preliminarily explore the effects of these MVs on the growth and biofilm formation of S. mutans. Methods: MVs were isolated from the S. mutans UA159 strain using differential centrifugation. The isolated MVs were characterized by nanoparticle tracking analysis for particle size and concentration and observed by transmission electron microscopy. The presence of AI-2 was identified using the Vibrio harveyi BB170 bioluminescence assay: the BB170 diluent was supplemented with AB medium (control group), MV extract (MVs group), pre-ultrafiltration supernatant (Sup group), or post-ultrafiltration supernatant (Sup-af group). The effects of MVs on growth and biofilm formation were assessed using the S.mutans UA159 strain or a luxS deletion mutant as the control group, compared with experimental groups stimulated with gradient concentrations of MVs (MVs-2.0E+7, MVs-2.0E+8, and MVs-2.0E+9 groups). Growth curves, MTT assay, and colony-forming unit (CFU) counts were used to determine changes in growth capacity. Biofilm formation was evaluated using crystal violet staining, confocal laser scanning microscopy, and the anthrone method for polysaccharide quantification. Results: Enriched S. mutans MVs were successfully obtained, with an average particle size of approximately 94.19 nm and a concentration of 1.87E+11 particles/mL. The bioluminescence assay showed that the luminescence intensity of the Sup group was higher than that of the Sup-af group, and the MVs group exhibited higher intensity than the control group. Assessments via growth curves, MTT assay, and CFU counts indicated no significant differences in the growth capacity of the various S. mutans strains after treatment with different concentrations of MVs. Crystal violet staining quantification and confocal laser scanning microscopy observations revealed that high-concentration MV treatment (2.0E+9 particles/mL group) resulted in lower biofilm mass compared to the control. The anthrone method showed that the production of both water-soluble and water-insoluble polysaccharides was significantly lower in the high-concentration MV group than in the control. Conclusion S. mutans MVs contain the quorum sensing signal molecule AI-2. These MVs do not significantly affect the growth of S. mutans, but they can regulate biofilm formation and exhibit an inhibitory effect at high concentrations.

Objective:To evaluate the application effect of a wearable visual field meter based on extended reality (XR) glasses for patients with macular disease.Methods:A self-controlled study was conducted.A total of 41 consecutive patients (41 eyes) with macular disease were recruited at Renmin Hospital of Wuhan University from October 2022 to October 2024.All patients underwent 10-2 center visual field test using a self-developed wearable visual field meter (XRVF), and the results were compared with those obtained using a traditional Humphrey field analyzer (HFA).The comparison parameters included mean retinal sensitivity (MS), false positive rate (FPR), false negative rate (FNR), and testing duration.A subject satisfaction questionnaire was administered.This study followed the Declaration of Helsinki.The study protocol was approved by the Medical Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2024-K263), and all subjects signed the informed consent form.Results:The retinal sensitivity of patients measured by HFA was (23.24±3.71)dB, which was higher than (22.01±3.45)dB by XRVF, showing a statistically significant difference ( t=4.924, P=0.036).The FPR measured by HFA and XRVF were (2.39±2.51)% and (2.59±3.29)%, respectively, and the FNR were (3.49±6.05)% and (3.74±5.38)%, respectively, showing no statistically significant difference ( t=-3.624, P=0.948; t=-1.241, P=0.519).The median test duration for HFA and XRVF was 6.15 (5.78, 6.65) and 5.98 (5.71, 6.69)minutes, respectively, without statistically significant difference ( Z=-1.987, P=0.953).92.6% of the subjects thought the device was comfortable, simple and practical. Conclusions:The XRVF has good consistency with the HFA, can effectively and reliably evaluate the visual field function of patients with macular disease, and is easily accepted by patients.

The left maxilla of a patient was resected because of tumor,and the defect was reconstruted with fibular transplantation.The autonomous dental implant robot technology was used to achieve precise implantation of multiple implants and immediate denture restoration within the limited left maxilla.The surgery was minimally invasive and efficient,and significantly reducing patient post-operative discomfort.The final restoration was completed 6 months after surgery.

Objective:To evaluate the application effect of a wearable visual field meter based on extended reality (XR) glasses for patients with macular disease.Methods:A self-controlled study was conducted.A total of 41 consecutive patients (41 eyes) with macular disease were recruited at Renmin Hospital of Wuhan University from October 2022 to October 2024.All patients underwent 10-2 center visual field test using a self-developed wearable visual field meter (XRVF), and the results were compared with those obtained using a traditional Humphrey field analyzer (HFA).The comparison parameters included mean retinal sensitivity (MS), false positive rate (FPR), false negative rate (FNR), and testing duration.A subject satisfaction questionnaire was administered.This study followed the Declaration of Helsinki.The study protocol was approved by the Medical Ethics Committee of Renmin Hospital of Wuhan University (No.WDRY2024-K263), and all subjects signed the informed consent form.Results:The retinal sensitivity of patients measured by HFA was (23.24±3.71)dB, which was higher than (22.01±3.45)dB by XRVF, showing a statistically significant difference ( t=4.924, P=0.036).The FPR measured by HFA and XRVF were (2.39±2.51)% and (2.59±3.29)%, respectively, and the FNR were (3.49±6.05)% and (3.74±5.38)%, respectively, showing no statistically significant difference ( t=-3.624, P=0.948; t=-1.241, P=0.519).The median test duration for HFA and XRVF was 6.15 (5.78, 6.65) and 5.98 (5.71, 6.69)minutes, respectively, without statistically significant difference ( Z=-1.987, P=0.953).92.6% of the subjects thought the device was comfortable, simple and practical. Conclusions:The XRVF has good consistency with the HFA, can effectively and reliably evaluate the visual field function of patients with macular disease, and is easily accepted by patients.

Objective To analyze the characteristics of facial and tongue chromaticity parameters in patients with gastrointestinal tumors by setting the inspection image characteristics of patients with gastrointestinal tumors as the main research content;To establish an auxiliary diagnostic model for gastrointestinal tumors.Methods One-way ANOVA,t-test,Mann-whitney U test,canonical correlation analysis and Spearman statistical methods were used to analyze the characteristics of inspection image indexes and correlation of tumor markers of the 391 cases in the control group and 359 patients with gastrointestinal tumors.Machine learning methods such as SVM,Random Forest,KNN,Naive Bayes,XG Boost and Ada Boost were used to establish an auxiliary diagnostic model for gastrointestinal tumors.Results In terms of facial indicators,there were differences in F-R,F-G and F-B indicators among the control group,early-stage gastrointestinal cancer patients,and mid-to late-stage gastrointestinal cancer patients,in the comparison of tongue features among,TC-L,TB-L and TB-a of the control group,patients with early gastrointestinal tumors,and patients with intermediate and advanced gastrointestinal tumors showed a gradual downward trend;the AUC of the auxiliary diagnosis model of gastrointestinal tumor disease based on the chromaticity parameters of face tongue image constructed by Ada Boost algorithm was 0.930.Conclusion The auxiliary diagnostic model of gastrointestinal diseases constructed by facial and tongue images has good diagnostic effect,which can provide objective data support for in-depth exploration of the complex relationship between diagnosis and disease.

The left maxilla of a patient was resected because of tumor,and the defect was reconstruted with fibular transplantation.The autonomous dental implant robot technology was used to achieve precise implantation of multiple implants and immediate denture restoration within the limited left maxilla.The surgery was minimally invasive and efficient,and significantly reducing patient post-operative discomfort.The final restoration was completed 6 months after surgery.

Obesity, as a chronic recurrent disease, has become a major public health challenge in China. To implement the requirements of the Healthy China Initiative (2019—2030), under domestic guidelines or consensus statements on overweight and obesity, and in alignment with the latest scientific advances globally, the Quality control protocol for adult overweight and obesity screening in health management (examination) institutions (2025 edition) was developed. This protocol was drafted by the Health Management Center of Shanghai Changzheng Hospital and formulated through multiple rounds of deliberation by experts in China’s health examination quality control field. The protocol establishes unified standards for screening facilities, personnel qualifications, and measurement or testing procedures. It defines specific screening items, outlines a standardized screening pathway, and sets requirements for the final medical review, ensuring the scientific validity, effectiveness, and safety of the screening process. The implementation of this protocol will enhance the consistency of weight management practices for adults across health examination institutions and strengthen the quality control of overweight and obesity screening programs.

Objective To study the tongue manifestation of patients with different syndromes in non-small cell lung cancer(NSCLC)and the correlation between tongue characteristics of different syndromes and tumor markers and coagulation indicators.Methods Totally 497 patients with NSCLC were grouped according to syndrome differentiation,and the differences in tongue characteristics of different syndromes were compared.Bivariate correlation analysis was used to study the correlation between tongue characteristics and serum tumor markers and coagulation indicators in patients with NSCLC of different syndromes.Results Compared with healthy people of different syndromes,in TB-a,yin deficiency and phlegm-heat syndrome>healthy group>qi-yin deficiency syndrome>spleen deficiency and phlegm-dampness syndrome>lung stagnation and phlegm-stasis syndrome(P<0.001).In TB-L,healthy group>spleen deficiency and phlegm-dampness syndrome>qi-yin deficiency syndrome>lung stagnation and phlegm-stasis syndrome>yin deficiency and phlegm-heat syndrome(P<0.001).In TB-b,yin deficiency and phlegm-heat syndrome>qi-yin deficiency syndrome>spleen deficiency and phlegm-dampness syndrome>healthy group>lung stagnation and phlegm-stasis syndrome(P<0.001).Yin deficiency and phlegm-heat syndrome had the highest TB-a and the lowest Per-all.Spleen deficiency and phlegm-dampness syndrome had the highest TB-L and Per-all.Lung stagnation and phlegm-stasis syndrome had lower TB-b and TC-b than other groups,lower TB-a than the healthy group,and a high Per-all index(P<0.05).In terms of tumor markers,Per-all in spleen deficiency and phlegm-dampness syndrome was positively correlated with Ca199,Ca50 and Ca242(P<0.05).In terms of coagulation indicators,the tongue texture index of lung stagnation and phlegm-stasis syndrome had a high correlation with the coagulation indicator Fg(P<0.01).Conclusion Different TCM syndromes of NSCLC have their own typical tongue characteristics.Tongue manifestations of different syndromes are correlated with tumor markers and coagulation indicators,respectively,which can reflect changes in clinical status.

General anesthesia, pivotal for surgical procedures, requires precise depth monitoring to mitigate risks ranging from intraoperative awareness to postoperative cognitive impairments. Traditional assessment methods, relying on physiological indicators or behavioral responses, fall short of accurately capturing the nuanced states of unconsciousness. This study introduces a machine learning-based approach to decode anesthesia depth, leveraging EEG data across different anesthesia states induced by propofol and esketamine in rats. Our findings demonstrate the model's robust predictive accuracy, underscored by a novel intra-subject dataset partitioning and a 5-fold cross-validation method. The research diverges from conventional monitoring by utilizing anesthetic infusion rates as objective indicators of anesthesia states, highlighting distinct EEG patterns and enhancing prediction accuracy. Moreover, the model's ability to generalize across individuals suggests its potential for broad clinical application, distinguishing between anesthetic agents and their depths. Despite relying on rat EEG data, which poses questions about real-world applicability, our approach marks a significant advance in anesthesia monitoring.
Animals ; Machine Learning ; Electroencephalography/methods* ; Ketamine/administration & dosage* ; Rats ; Male ; Propofol/administration & dosage* ; Rats, Sprague-Dawley ; Anesthesia, General/methods* ; Brain/physiology* ; Intraoperative Neurophysiological Monitoring/methods*