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 prepare and preliminarily identify the monoclonal antibodies(mAbs) specifically against 3D protein of Enterovirus 71(EV71),using bioinformatics to predict the epitopes of 3D,with HBc protein as a carrier.Methods: Artificial screening of 3D protein epitope sequences by bioinformatic method,inserted into the major immunodominant region(MIR) area of Hepatitis B virus core protein(HBc),to construct the recombinant protein.BALB/c mice were immunized with the recombinant virus like particles(VLPs),to prepare the mAbs against 3D protein of EV71.Affinity chromatography technology was used to purify the mAb.The indirect ELISA,ELISPOT,immunofluorescence and immunohistochemistry staining methods were used to identify the characteristic of the mAb.Results: We displayed 3D(aa34-43),3D(aa61-76) and 3D(aa151-164) epitopes by constructing fusion protein using HBc VLPs as a vector,after hybridization,one positive hybridoma cell line(3E1) was selected by ELISA.The isotype of 3E1 was IgG2a.The results of immunofluorescence and immunohistochemistry staining assay showed that the mAb 3E1 could specifically recognize EV71.Conclusion: The prepared mAb 3E1 can specifically recognizes the EV71,which laid the foundation for the detection of virus and further study on 3D protein,and verified the bioinformatics technology combined with HBc carrier displaying peptides could prepare mAb quickly and efficiently.