Objective To construct a precise model for identifying traditional Chinese medicine(TCM)constitutions,thereby offering optimized guidance for clinical diagnosis and treatment plan-ning,and ultimately enhancing medical efficiency and treatment outcomes. Methods First,TCM full-body inspection data acquisition equipment was employed to col-lect full-body standing images of healthy people,from which the constitutions were labelled and defined in accordance with the Constitution in Chinese Medicine Questionnaire(CCMQ),and a dataset encompassing labelled constitutions was constructed.Second,heat-suppres-sion valve(HSV)color space and improved local binary patterns(LBP)algorithm were lever-aged for the extraction of features such as facial complexion and body shape.In addition,a dual-branch deep network was employed to collect deep features from the full-body standing images.Last,the random forest(RF)algorithm was utilized to learn the extracted multifea-tures,which were subsequently employed to establish a TCM constitution identification mod-el.Accuracy,precision,and F1 score were the three measures selected to assess the perfor-mance of the model. Results It was found that the accuracy,precision,and F1 score of the proposed model based on multifeatures for identifying TCM constitutions were 0.842,0.868,and 0.790,respectively.In comparison with the identification models that encompass a single feature,either a single facial complexion feature,a body shape feature,or deep features,the accuracy of the model that incorporating all the aforementioned features was elevated by 0.105,0.105,and 0.079,the precision increased by 0.164,0.164,and 0.211,and the F1 score rose by 0.071,0.071,and 0.084,respectively. Conclusion The research findings affirmed the viability of the proposed model,which incor-porated multifeatures,including the facial complexion feature,the body shape feature,and the deep feature.In addition,by employing the proposed model,the objectification and intel-ligence of identifying constitutions in TCM practices could be optimized.

OBJECTIVES: With the increasing detection rate of lung nodules, the qualitative problem of lung nodules has become one of the key clinical issues. This study aims to evaluate the value of combining dynamic contrast-enhanced (DCE) MRI based on time-resolved imaging with interleaved stochastic trajectories-volume interpolated breath hold examination (TWIST-VIBE) with T₁ weighted free-breathing star-volumetric interpolated breath hold examination (T₁WI star-VIBE) in identifying benign and malignant lung nodules. METHODS: We retrospectively analyzed 79 adults with undetermined lung nodules before the operation. All nodules of patients included were classified into malignant nodules (n=58) and benign nodules (n=26) based on final diagnosis. The unenhanced T₁WI-VIBE, the contrast-enhanced T₁WI star-VIBE, and the DCE curve based on TWIST-VIBE were performed. The corresponding qualitative [wash-in time, wash-out time, time to peak (TTP), arrival time (AT), positive enhancement integral (PEI)] and quantitative parameters [volume transfer constant (Ktrans), interstitium-to-plasma rate constant (Kep), and fractional extracellular space volume (Ve)] were evaluated. Besides, the diagnostic efficacy (sensitivity and specificity) of enhanced CT and MRI were compared. RESULTS: There were significant differences in unenhanced T₁WI-VIBE hypo-intensity, and type of A, B, C DCE curve type between benign and malignant lung nodules (all P<0.001). Pulmonary malignant nodules had a shorter wash-out time than benign nodules (P=0.001), and the differences of the remaining parameters were not statistically significant (all P>0.05). After T₁WI star-VIBE contrast-enhanced MRI, the image quality was further improved. Compared with enhanced CT scan, the sensitivity (82.76% vs 80.50%) and the specificity (69.23% vs 57.10%) based on MRI were higher than that of CT (both P<0.001). CONCLUSIONS T₁WI star-VIBE and dynamic contrast-enhanced MRI based on TWIST-VIBE were helpful to improve the image resolution and provide more information for clinical differentiation between benign and malignant lung nodules.
Adult ; Humans ; Retrospective Studies ; Magnetic Resonance Imaging ; Plasma ; Tomography, X-Ray Computed ; Lung

Objective:To evaluate the influence of manual digitorum sensory stimulation (MDSS) of hemiplegic fingers in median nerve F-wave in stroke patients.Methods:Thirty patients with hemiplegia after stroke, admitted to Department of Rehabilitation Medicine, Second Affiliated Hospital of Anhui Medical University from June 2019 to October 2022 were selected; all patients had thumb flexor modified Ashworth scale (MAS) grading≥1. Hemiplegic MDSS was given; bilateral median nerve F-wave before MDSS and median nerve F-wave at the hemiplegic side immediately after MDSS were recorded.Results:Compared with that at the healthy side before MDSS, amplitude of median nerve F-wave at the hemiplegic side was significantly increased ( P<0.05). Compared with that before MDSS, amplitude of F-wave at the hemiplegic side after MDSS in patients with thumb flexor MAS grading≤2 were significantly decreased ( P<0.05), while that in patients with thumb flexor MAS grading≥3 was significantly increased ( P<0.05). Conclusion:Amplitudes of median nerve F-wave at the hemiplegic side in patients with different thumb flexor MAS grading show that MDSS can not only inhibit the excitability of tonic motor unit related to muscle spasm, but also enhance the excitability of kinetic-motor unit mainly related to explosive power in severe muscle spasm.

ObjectiveTo investigate the changes of surface electromyography (sEMG) of the flexors and extensors of the affected fingers after manual digitorum sensory stimulation (MDSS) in the hemiplegic patients after stroke. MethodsFrom April to August, 2020, 50 stroke patients in Department of Rehabilitation Medicine, the Second Hospital of Anhui Medical University accepted MDSS on the nail beds and the third knuckles of affected fingers, until the fingers extended actively. The tension of affected flexor pollicis brevis, flexor digitorum superficialis and extensor digitorum were assessed with modified Ashworth Scale (MAS) before and immediately after stimulation; while the root mean square (RMS) of sEMG of bilateral flexor pollicis brevis, flexor digitorum superficialis and extensor digitorum were recorded. ResultsThe MAS score of all the muscles decreased after stimulation (|Z| > 2.699, P < 0.01), while the RMS of affected extensor digitorum increased (t = -2.069, P < 0.05). Compared with the unaffected ones, RMS of affected flexor pollicis brevis and extensor digitorum decreased before and after stimulation (t > 2.450, P < 0.05). ConclusionMDSS may immediately relieve the spasm of flexors of hemiplegic fingers after stroke, which associates with the promoting muscle strength of the extensors.

Objective To analyze the spatial and temporal characteristics of hand, foot and mouth disease (HFMD) in Hunan Province from 2016 to 2020. Methods The data of HFMD in Hunan Province from 2016 to 2020 were collected from China's Disease Prevention and Control Information System. HFMD spatial autocorrelation analysis was conducted by ArcGIS 10.2 software at county level, and spatial-temporal scan statistical analysis was performed by SaTScan 9.7 software. Results A total of 714 157 cases was reported in Hunan Province during 2016-2020, with an average annual incidence rate of 208.36/100 000. Global spatial autocorrelation showed that HFMD had a positive spatial correlation on the county scale in Hunan Province during this period. Local spatial autocorrelation indicated that the hot spots were mainly concentrated in the north of central Hunan, the east of central Hunan and the west of Hunan. Spatial-temporal scanning analysis revealed the first class clusters (RR = 6.65, P< 0.001) covering 34 counties in northern and central Hunan, mainly distributed in Yueyang City, Changsha City, Zhuzhou City, Yiyang City and Xiangtan City from May 2018 to June, and the second class clusters (RR = 3.02, P < 0.001) covering 40 counties in western Hunan and central and southwest Hunan from April 2016 to June 2016. Conclusion HFMD incidence exhibits seasonal and regional characteristics in Hunan Province. The prevention and control of HFMD should be guided by combining the characteristics of spatial-temporal clustering.

Objective:To effectively express the receptor binding domain (RBD) of SARS-CoV-2 spike protein in Pichia pastoris and to evaluate its immunogenicity. Methods:The gene encoding the RBD protein was synthesized and cloned into the pPICZαA plasmid. After linearization, the plasmid was transferred and integrated into the genome of Pichia pastoris. The expressed RBD protein in culture supernatant was analyzed by Western blot and Biolayer interferometry. After screening, a single clone expressing the RBD protein was selected. The high-level expression of RBD protein was achieved by optimizing the fermentation process, including the salt concentration adjusting of the medium and induction condition optimization (pH, temperature and duration). The immunogenicity of the expressed RBD protein was evaluated in a mouse model. Results:A single clone with a high expression level of RBD protein was obtained and named RBD-X33. The expression level of RBD protein in the fermentation supernatant reached up to 240 mg/L after optimization of the induction condition (HBSM medium, pH=6.5±0.3, 22℃ and 120 h). In the mouse experiment, the recombinant RBD protein was formulated with Alum+ CpG dual adjuvant and injected into mice. The binding IgG antibody levels were up to 2.7×10 6 tested by ELISA and the neutralizing antibody levels were up to 726.8 tested by live virus neutralizing antibody assay (prototype). Conclusions:The RBD protein could be efficiently expressed in Pichia pastoris and induce stronger immune response in animals. This study suggested that the recombinant SARS-CoV-2 RBD protein expressed in Pichia pastoris could serve as a candidate antigen in the development of SARS-CoV-2 vaccine.

T follicular regulatory cell (Tfr) is a unique subset of CD4 + T cells discovered in recent years. They are derived from T regulatory cell (Treg) and presenting simultaneously similar biological characteristics of Treg cell and T follicular helper cell (Tfh). Tfr cell are mainly manifested as participating in the regulation of Tfh cell and B cell differentiation in the lymph node germinal center (GC), assisting in the screening of high-affinity antibodies and preventing the production of autoantibodies, ensuring immune homeostasis. This article describes the research progress in the biological characteristics and functions of Tfr cell, and summarized the role of Tfr cell in the antibody response after virus infection and vaccine immunization. The aim is to deeply understand the immune regulation mechanism of antibody production and maturation after virus infection, to provide insight for virus vaccine design and immune strategy evaluation.

This article describes the concept, theoretical basis, commonly used evaluation indicators of the intimacy enhancement therapy, as well as the application status and effects of the therapy among different cancer patients and their spouses, so as to provide a reference for the development of intimacy enhancement therapy suitable for Chinese culture and improve the quality of family life of cancer patients.

The collaborative care model can provide support for the family caregivers of dementia, so as to reduce the burden of caregivers and improve the quality of family life of dementia. This paper reviews the history, types and the mode of collaborative care model, and analyzes its application effect in dementia home care, to provide reference for the construction of collaborative care model in line with the cultural background of the elderly and caregivers of dementia in China.

Objective:To analyze the antibody levels and dynamic changes in patients infected with 2019-novel coronavirus(2019-nCoV).Methods:The average age of 72 corona virus disease 2019 (COVID-19) patients was (45.53±16.74)years(median age:47 year), including (44.88±17.09) years(median age:46 year) for 38 males and (46.32±16.52)years (median age:46 year) for 34 females in Loudi City, Hunan Province. There is no significant difference in genders between the severe and mild groups (χ2=0.916, P>0.05). There is a significant difference in the age between the severe and mild groups ( F=3.315, P<0.05). The blood samples of 72 discharged patients were collected and the consistence of IgM and IgG antibodies were detected by chemiluminescence method. SPSS25.0 was used for gender, age, case type and antibody analysis of variance, χ 2 test and other analysis. Results:The average time of the serum samples collection of 72 patients was (34.89±9.02)days (median time: 34 days) from onset of COVID-19, and (14.53±8.35) days (median time: 14 days) from discharge. The positive rate of IgM or IgG was 97.22% (70/72), and the positive rate of IgM and IgG was 48.61% (35/72) and 97.22% (70/72) respectively. Serum COVID-19 antibodies were detected in 72 patients from 1st to 40th days after discharge. The average concentration of IgM in 1-7 days, 8-14 days, 15-21 days, 22-28 days, above 29 days were 21.91(7.07-52.84)AU/ml, 14.16(6.19-32.88)AU/ml, 11.36(6.65-42.15)AU/ml, 8.15(3.66-30.12)AU/ml, 2.98(0.46-6.37)AU/ml. There was no significant difference in the time of IgM antibody concentration ( H= 8.439, P>0.05). The average concentrations of IgG in 1-7 days, 8-14 days, 15-21 days, 22-28 days, 29 days and above were 169.90 (92.06-190.91) AU/ml, 163.89 (91.19-208.02) AU/ml, 173.31 (95.06-191.28) AU/ml, 122.84 (103.19-188.34) AU/ml, 101.98 (43.75-175.30) AU/ml, respectively, ( H=2.232, P>0.05). The IgM becomes negative after the 3rd week of discharge and decreases rapidly with time. The IgG concentration higher than IgM during the same period, and keep at high level without any change, and decrease in the fourth week. Among them, 5 cases developed "re-infection" within 1-3 weeks after discharge, and the rate of "re-infection" was 6.94% (5/72 cases). Conclusions:After the COVID-19 patients are discharged from the hospital, the level of antibodies produced varies greatly among individuals, but the overall changes in antibodies have a certain pattern. It is recommended to strengthen the antibody monitoring during hospitalization and after discharge from the hospital to reduce the "re-infection" rate and potential risk of infection.