Activated specific T cells possess the capability to directly recognize and eradicate tumor cells, a process pivotal in the anti-tumor immune response. In recent years, the field of tumor immunotherapy, particularly T cell-based strategies, has seen rapid advancements, resulting in several drugs receiving clinical approval and the initiation of numerous basic research endeavors and clinical trials. Among these strategies, adoptive T cell transfer therapy emerges as a principal focus, encompassing approaches such as chimeric antigen receptor T-cell (CAR-T), T-cell receptor-engineered T cell (TCR-T), tumor-infiltrating lymphocytes (TILs), and cytotoxic T lymphocytes (CTLs) therapies. This review endeavors to encapsulate the global research and development strides made in four categories of adoptive T cell therapies, while also dissecting their individual merits and limitations. The objective is to furnish insights that may bolster the development of tumor immunotherapy pharmacopeia and their efficacious clinical application in cancer treatment.

Activated specific T cells possess the capability to directly recognize and eradicate tumor cells, a process pivotal in the anti-tumor immune response. In recent years, the field of tumor immunotherapy, particularly T cell-based strategies, has seen rapid advancements, resulting in several drugs receiving clinical approval and the initiation of numerous basic research endeavors and clinical trials. Among these strategies, adoptive T cell transfer therapy emerges as a principal focus, encompassing approaches such as chimeric antigen receptor T-cell (CAR-T), T-cell receptor-engineered T cell (TCR-T), tumor-infiltrating lymphocytes (TILs), and cytotoxic T lymphocytes (CTLs) therapies. This review endeavors to encapsulate the global research and development strides made in four categories of adoptive T cell therapies, while also dissecting their individual merits and limitations. The objective is to furnish insights that may bolster the development of tumor immunotherapy pharmacopeia and their efficacious clinical application in cancer treatment.

Objective:To investigate the impact of body mass index (BMI) on delayed extubation of patients with acute Stanford type A aortic dissection (ATAAD).Methods:A total of 400 ATAAD patients who were admitted to our hospital from October 2021 to October 2023 and underwent surgical treatment were selected as the research objects. According to BMI, they were divided into obese group (BMI≥28 kg/m 2, 119 cases) and non-obese group (BMI<28 kg/m 2, 281 cases). The differences of preoperative clinical characteristics, intraoperative and postoperative data between the two groups were compared. Starting from transferring to the ICU and ending with the first successful extubation, The risk factors of postoperative invasive mechanical ventilation time ≥ 48 h in ATAAD patients were analyzed, and the predictive efficacy of related factors for postoperative invasive mechanical ventilation time ≥ 48 h in ATAAD patients was evaluated. Results:Compared with the non-obese group, the proportion of hypertension, diabetes, admission heart rate, admission systolic blood pressure, admission diastolic blood pressure and preoperative white blood cell count in the obese group were significantly increased, and the differences were statistically significant ( P<0.05). The cardiopulmonary bypass time, aortic cross-clamp time, operation time, red blood cell transfusion volume, invasive mechanical ventilation time, secondary operation rate and total hospitalization cost in the obese group were significantly higher than those in the non-obese group, and the differences were statistically significant ( P<0.05). Univariate logistic regression analysis showed that BMI, cardiopulmonary bypass time, ascending aortic cross-clamp time, operation time, age, hypertension, and red blood cell transfusion were related factors for postoperative invasive mechanical ventilation time ≥48 h in ATAAD patients ( P<0.05). Logistic multivariate regression analysis showed that increased BMI ( OR=1.213, P<0.05) and increased age ( OR=1.020, P<0.05) were independent risk predictors of postoperative invasive mechanical ventilation time≥48 h in ATAAD patients. Receiver operating characteristic curve ( ROC) analysis showed that the area under the ROC curve ( AUC) of BMI for predicting the duration of postoperative invasive mechanical ventilation in ATAAD patients≥48 h was 0.682 ( P<0.05), and the best predictive cut-off value was 25.64 kg/m 2. Conclusion:BMI≥28kg/m 2 increases the difficulty of surgery and the duration of invasive mechanical ventilation in ATAAD patients. BMI has a high predictive value for the duration of invasive mechanical ventilation in ATAAD patients after surgery ≥48 h, and effective intervention measures can be formulated to improve the treatment effect of patients.

Objective:To explore the efficacy, safety and possible brain network mechanisms of individualized targeted robot assisted Stanford accelerated intelligent neuromodulation therapy (SAINT).Methods:This was a small-sample, open-label study including 15 depressed patients with suicidal ideation. All participants were treated with SAINT in combination with SNRIs. The stimulation target was localized to the region of the left dorsolateral prefrontal cortex (DLPFC) that showed the most negative functional connectivity with the subgenual anterior cingulate cortex (sgACC) based on fMRI data. Stimulation sessions were delivered hourly. Ten sessions were applied per day (18, 000 pulses/day) for 5 consecutive days (90, 000 pulses in total). Stimulation was delivered at 90% resting motor threshold. The changes of functional connectivity of brain networks in various brain regions before and after treatment were compared and analyzed by rest software and functional connectivity analysis based on seed points. The Beck Suicidal Ideation Scale Chinese Version (BSI-CV), HAMD 17, and MADRS were used to assess the suicidal ideation and depressive symptoms at baseline, post treatment, 15 days after treatment, and 30 days after treatment. Statistical analysis was performed using repeated measurements of ANOVA and paired t-tests. Results:(1) After 5-day treatment, individual′s BSI-CV score decreased significantly ( F=38.77, P<0.01), and their average score decreased by 11.80±1.17 (95 %CI=8.19-15.41), with a response rate of 86.67%. SAINT was well tolerated, and there were no significant side effects on individual′s cognitive function. (2) After treatment, patient′s MADRS score decreased significantly at all follow-up assessments ( F=306.97, P<0.01), and the average score decreased by 22.53±1.10 (95 %CI=19.15-25.91) after 5-day treatment, with a response rate of 93.33%. After 15 days and 30 days, the remission and response rates of treatment were 53.33%, 100.00%, 93.33% and 100.00%, respectively. (3) The functional network connectivity after individualized targeted robot assisted SAINT therapy showed significant improvement between sgACC, frontal lobe, temporal lobe, and parietal lobe. Conclusion:Individualized targeted robot assisted SAINT therapy showed satisfactory efficacy and safety in the reduction of suicidal ideation and depressive symptoms, and also improve the functional network connectivity of the injured brain network. Meanwhile, large-sample, randomized, and double-blind controlled studies are warranted to confirm the findings of the current study.

Objective:To explore the efficacy, safety and possible brain network mechanisms of individualized targeted robot assisted Stanford accelerated intelligent neuromodulation therapy (SAINT).Methods:This was a small-sample, open-label study including 15 depressed patients with suicidal ideation. All participants were treated with SAINT in combination with SNRIs. The stimulation target was localized to the region of the left dorsolateral prefrontal cortex (DLPFC) that showed the most negative functional connectivity with the subgenual anterior cingulate cortex (sgACC) based on fMRI data. Stimulation sessions were delivered hourly. Ten sessions were applied per day (18, 000 pulses/day) for 5 consecutive days (90, 000 pulses in total). Stimulation was delivered at 90% resting motor threshold. The changes of functional connectivity of brain networks in various brain regions before and after treatment were compared and analyzed by rest software and functional connectivity analysis based on seed points. The Beck Suicidal Ideation Scale Chinese Version (BSI-CV), HAMD 17, and MADRS were used to assess the suicidal ideation and depressive symptoms at baseline, post treatment, 15 days after treatment, and 30 days after treatment. Statistical analysis was performed using repeated measurements of ANOVA and paired t-tests. Results:(1) After 5-day treatment, individual′s BSI-CV score decreased significantly ( F=38.77, P<0.01), and their average score decreased by 11.80±1.17 (95 %CI=8.19-15.41), with a response rate of 86.67%. SAINT was well tolerated, and there were no significant side effects on individual′s cognitive function. (2) After treatment, patient′s MADRS score decreased significantly at all follow-up assessments ( F=306.97, P<0.01), and the average score decreased by 22.53±1.10 (95 %CI=19.15-25.91) after 5-day treatment, with a response rate of 93.33%. After 15 days and 30 days, the remission and response rates of treatment were 53.33%, 100.00%, 93.33% and 100.00%, respectively. (3) The functional network connectivity after individualized targeted robot assisted SAINT therapy showed significant improvement between sgACC, frontal lobe, temporal lobe, and parietal lobe. Conclusion:Individualized targeted robot assisted SAINT therapy showed satisfactory efficacy and safety in the reduction of suicidal ideation and depressive symptoms, and also improve the functional network connectivity of the injured brain network. Meanwhile, large-sample, randomized, and double-blind controlled studies are warranted to confirm the findings of the current study.

Objective To evaluate the application value of an intelligent fundus assisted diagnosis system for detecting retinopathy of prematurity ( ROP) based on deep learning. Methods A total of 38895 fundus images for premature infants screening were collected from Renmin Hospital of Wuhan University Eye Center and were labeled by 10 licensed ophthalmologists. A deep learning network model was established to acquire automatic classification of disease stages and plus disease. The accuracy,sensitivity and specificity of the algorithm were calculated to evaluate the performance of the artificial intelligence system for ROP automatic diagnosis. This study protocol was approved by Ethic Committee of Renmin Hospital of Wuhan University ( No. WDRY2019-K032 ) . Written informed consent was obtained from the guardians of the children before entering the study cohort. Results The intelligent system achieved an accuracy of 0. 931. Specifically,the accuracies in detecting demarcation line (stageⅠ) was 0. 876,ridge (stage Ⅱ) was 0. 942,ridge with extra retinal fibrovascular (stageⅢ) was 0. 968,subtotal retinal detachment (stageⅣ) was 0. 998,total retinal detachment (stage Ⅴ) was 0. 999,vascular tortuosity and dilatation (plus disease) was 0. 896,optic disc was 0. 954,macular was 0. 781,and laser scars were 0. 974,respectively. Conclusions Deep learning algorithm can detect the stages and plus disease of ROP with excellent accuracy,and it provides the feasibility of applying the algorithm for ROP automated screening in clinical.

Objective To evaluate the detectability of HIV antigen-antibody in the window period of acute infection by three HIV antigen-antibody assays.Methods Twenty-two samples of HIV seroconversion serum panels and thirty-seven HIV acute infected plasm samples from our laboratory collected from cohort study of men who have sex with men between 2009 and 2011,were assayed by ECLIA,CLIA and ELISA methods.All assays were evaluated for the ability to detect HIV in the window period,and the sensitivity of each assay for acute samples was analyzed.Chi square test was used for statistical analysis.Results The ability of detecting HIV in the window period of each assay was different.For HIV seroconversion serum panels,the results of ECLIA and CLIA assays were consistent,and the window period was shortened at least 1 to 5 days compared with ELISA assay.For HIV acute samples,all were HIV positive by ECLIA or CLIA assay,but for ELISA assay,94.6％ was positive.For samples before seroconversion,ECLIA and CLIA assay had the same sensitivity (93.5％),which is superior to ELISA assay (71.0％) (x2 =5.14,P ＜0.05).Conclusion The ability of detecting HIV in the window period was different for each assay.The results of ECLIA and CLIA assay are consistent,superior to ELISA assay.

Background Choroidal thickness is closely associated with ametropia,and to study the influence of subfoveal choroidal thickness (SFCT) on refraction is very important for understanding the mechanism of refractive error more clearly.Objective This study was to investigate the relationship between SFCT and refraction.Methods A retrospective serial cases analysis was performed.Forty anisometrope patients were recruited in Zhongshan Ophthalmic Center from June 2012 to August 2012.The subjects were divided into 6-13 years group and 14-21 years group.Vision acuity was tested by the EDTRS visual acuity chart and ocular anterior segment was examined under the slit lamp microscope,and the fundus examination was performed by direct ophthalmoscope.Subjective and objective optometry was performed after pupils were dilated.EDI OCT was used to illuminate choroidal image.Ocular axial length (AL) was obtained by Lenstar 900.The difference in SFCT between myopic eyes and hyperopic eyes was compared using Student t test,and the correlations between SFCT and refraction were analyzed by Pearson linear analysis and linear regression analysis.Results The average SFCT was (307.82±88.47) μm in all the tested eyes,and the SFCT of myopic eyes and hyperopic eyes was (270.60±70.57) μm and (376.95±76.59) μm,respectively,with a significant difference between them (P =0.000).In the 6-13 years group,positive correlations were found between SFCT and diopters with the regression coefficient 18.60 and regression equation Y =18.60X +310.79 (r=0.345,F=21.110,P=0.000) as well as between SFCT and AL with the regression coefficient -31.76 and regression equation Y =-31.76X+1 039.97 (r=0.262,F=17.320,P=0.000).In the 14-21 years group,SFCT showed positive correlation with diopters,with the regression coefficient 23.38 and regression equation Y=23.38X+353.17 (r =0.430,F =27.210,P =0.000) and negative correlation with AL,with the regression coefficient-35.82 and regression equation Y =-35.82X+1 132.75 (r=0.237,F=15.650,P=0.000).Conclusions SFCT seems to be positive correlated with diopter.When the diopter shifts toward positive value,SFCT value increases,and whenever diopter increases-1 D,SFCT decreases 20 μm approximately.SFCT decreases with the increase of AL.

Objective To compare the performance of fourth generation HIV antigen/antibody combined detection reagents for HIV early infection samples,international HIV seroconversion panel samples and routine clinical screening samples.Methods Thirty seven early HIV infected samples from the followup gays in Shen Yang between 2009 and 2011,66 seroconversion panel samples from BBI company (U.S.A),NABI company(U.S.A) and NIBSC company(U.K) and 703 routine HIV screening samples in the first hospital of China medical university in October 2010 were collected.All kinds of samples were tested by three diagnostic reagents based on chemiluminescence assay (CLIA),electrochemiluminescence assay (ECLIA) and enzyme-linked immunosorbent assay (ELISA) respectively.The detection sensitivity and specificity of these assays were analyzed.Results For 59 early infected and seroconversion samples,the sensitivities of both ECLIA and CLIA reagent were 96.61％ (95％ CI 91.5％-100.0％),higher than that of the ELISA kit (95％ CI 75.0％-92.9％) (x2 =5.341,P ＜ 0.05),which is 83.93％ ; Comparison among the three reagents for different subtypes of the antibody seroconversion samples showed that ECLIA had the highest sensitivity while CLIA was the lowest ; Detection sensitivity of the three reagents for the P24 antigen is CLIA ＞ ECLIA ＞ ELISA; With detection of 703 clinical routine screening samples,the specificities of three reagents were 100％ (CLIA),99.86％ (ECLIA) and 99.71％ (ELISA) respectively.Conclusions For the sensitivity of the fourth HIV diagnostic reagents CLIA and ECLIA are better than ELISA.The former two reagents are more suitable for identifying earlier HIV infection in clinic.