Since the beginning of the new century, advances in understanding the intricate interactions between oncology and the immune system have accelerated the rapid development of immune checkpoint inhibitors for the treatment of non-small cell lung cancer. However, resistance to immunotherapy is inevitable. Therefore, uncovering the mechanisms of immunotherapy resistance, proposing strategies to overcome resistance, and identifying future research directions are imperative. Given the limitations of space in each article, this review will explore the complex mechanisms underlying immunotherapy resistance. These mechanisms involve almost all cell types within the body, excluding foreign cancer cells. Notably, these cells serve as recipients (either inhibitory or stimulatory, or both) and producers of signals, playing different roles in various contexts. At the molecular level, these mechanisms include genetic and epigenetic abnormalities in all cells within the microenvironment, as well as the influence of a variety of protein kinase, growth factors, and cytokines with temporal and spatial heterogeneity. At the macroscopic level, host factors such as nutritional metabolism, comorbidities, and microbiota within the organs, as well as neuro-psychological regulation, influence the efficacy of immunotherapy.

Jiuwei Xifeng Granules have become a Chinese patent medicine in the market. Because the formula contains Os Draconis, a top-level protected fossil of ancient organisms, the formula was to be improved by replacing Os Draconis with Ostreae Concha. To evaluate whether the improved formula has the same effectiveness and safety as the original formula, a randomized, double-blind, parallel-controlled, equivalence clinical trial was conducted. This study enrolled 288 tic disorder(TD) of children and assigned them into two groups in 1∶1. The treatment group and control group took the modified formula and original formula, respectively. The treatment lasted for 6 weeks, and follow-up visits were conducted at weeks 2, 4, and 6. The primary efficacy endpoint was the difference in Yale global tic severity scale(YGTSS)-total tic severity(TTS) score from baseline after 6 weeks of treatment. The results showed that after 6 weeks of treatment, the declines in YGTSS-TSS score showed no statistically significant difference between the two groups. The difference in YGTSS-TSS score(treatment group-control group) and the 95%CI of the full analysis set(FAS) were-0.17[-1.42, 1.08] and those of per-protocol set(PPS) were 0.29[-0.97, 1.56], which were within the equivalence boundary [-3, 3]. The equivalence test was therefore concluded. The two groups showed no significant differences in the secondary efficacy endpoints of effective rate for TD, total score and factor scores of YGTSS, clinical global impressions-severity(CGI-S) score, traditional Chinese medicine(TCM) response rate, or symptom disappearance rate, and thus a complete evidence chain with the primary outcome was formed. A total of 6 adverse reactions were reported, including 4(2.82%) cases in the treatment group and 2(1.41%) cases in the control group, which showed no statistically significant difference between the two groups. No serious suspected unexpected adverse reactions were reported, and no laboratory test results indicated serious clinically significant abnormalities. The results support the replacement of Os Draconis by Ostreae Concha in the original formula, and the efficacy and safety of the modified formula are consistent with those of the original formula.
Adolescent ; Child ; Child, Preschool ; Female ; Humans ; Male ; Double-Blind Method ; Drugs, Chinese Herbal/therapeutic use* ; Tic Disorders/drug therapy* ; Treatment Outcome

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

Objective To investigate the status of population dynamics and distribution changes of Aedes aegypti in Guangdong Province.Methods Continuous monitoring was conducted from May 2018 to July 2024 in Wushi Town and Qishui Town,Leizhou City,Zhanjiang City,Guangdong Province.Additionally,a survey of the distribution of Ae.aegypti along the Leizhou Peninsula coast was carried out.Results The density of Ae.aegypti in Zhanjiang showed a gradual decline from 2018 to 2024.The last detection of adult Ae.aegypti in Wushi Town was in September 2021,and the last larva was found in October 2023.No Ae.aegypti was detected in Qishui Town during surveys from 2021 to 2024.A survey of 18 coastal villages in the Leizhou Peninsula revealed no detections of Ae.aegypti.Conclusions This study provides a basis for understanding the distribution and population density fluctuations of Ae.aegypti,assessing its invasion risk,and scientifically conducting relevant prevention and control efforts.

Objective:To develop an artificial intelligence system using fully convolutional neural networks（FCN）to assist echocardiographers in the quantitative assessment of mitral regurgitation（MR）severity.Methods:From August 2021 to June 2024，echocardiographic images of 441 patients with MR were prospectively collected from Renmin Hospital of Wuhan University and the Central Hospital of Wuhan. After screening，a total of 269 patients（4 917 frames）were included in the study. Of these，3 644 frames（128 patients）of apical four-chamber color Doppler MR flow convergence images from Renmin Hospital of Wuhan University were selected as the training/validation set，while images from 121 patients（813 frames）were used as the internal test set. Additionally，images from 20 patients（460 frames）from the Central Hospital of Wuhan were selected as the external test set. The FCN algorithm was employed to capture features and segment the MR color region on the left atrial side，simultaneously outputting the regurgitant radius（r）for the calculation of the effective regurgitant orifice area and regurgitant volume. The severity of MR was then classified according to the 2017 guidelines of the American Society of Echocardiography. The segmentation and classification performance of the model was evaluated，and the measurement results of the AI system was compared with that of both senior and junior physicians.Results:In the internal test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.48，0.81，0.86，and 0.87，respectively. In the external test set，the accuracy of r identification for cases classified as Grade Ⅰ to Ⅳ was 0.60，0.77，0.64，and 0.77，respectively. The average accuracy of MR classification in the internal and external test sets was 0.91 and 0.88，respectively.Conclusions:The FCN model is capable of segmenting the left atrial side regurgitant areas in apical four-chamber heart color Doppler images，aiding physicians in obtaining quantitative assessment parameters for MR，and assisting junior physicians in accurately assessing the severity of MR.

Objective Corruption is the most common cadaver phenomenon in forensic practice and an important basis for inferring time of death(PMI),but the definition of corruption degree and the construction of model inference models have always been difficult in the practice of forensic science.Methods In this study,the late postmortem phenomena were observed.Meanwhile,the microbial flora structure of gut and gravesoil and the nature of gravesoil were detected,for analyzing the changes before and after the key moment of abdominal rupture which naturally happened during the cadaver decay.Results The results found that from the macroscopic and microscopic levels,there were significant differences in cadaver decay,including microbial flora structure and gravesoil properties before and after the key moment of the natural abdominal rupture during cadaver decay.The phenomena are highly observable and can be accurately judged by forensic examinations,as well as related means in the field of biology and physiochemistry.In this study,this critical event was called Rupture Point.Conclusion The Rupture Point can be used as an important node for the assessment of cadaver decay degree in the practice of forensic medicine.It can be utilized for a cut-off point as well when constructing PMI inference models based on microbial flora structure changes.The accuracy of PMI inference models can be improved when the models were constructed in segments.

As an emerging discipline that combines traditional diagnostic methods with modern scientific technology,micro syndrome differentiation has good prospects for development,but there are some controversies in the research process.Based on ancient and modern literature,this article reviewed the origin and flow of research on micro syndrome differentiation,and summarized the problems to be improved in the process of research on micro syndrome differentiation from three aspects:application of disease type,guiding ideology and micro indicators.Based on this,the article further expounded the new thinking on"near-micro"syndrome differentiation from three aspects:connotation,scope of application,and links to traditional identification and micro-identification,and pointed out that the modern medical detection basis should be incorporated into the field of TCM syndrome differentiation,and at the same time,it should be based on the overall thinking mode of TCM,which would provide a new idea for the development of modern TCM diagnosis technology.

Objective To investigate the high-frequency ultrasonic anatomical features of the adjacent C7 transverse process and its clinical value in stellate ganglion block(SGB).Methods High-frequency ultrasound was applied to obtain ultrasonographic anatomical sonogram features in the plane of bilateral C7 transverse processes in 52 cases(104 sides in total)of healthy adults and then stored for the operator to learn and correctly label each tissue structure.Fifty patients who underwent ultrasound-guided SGB were selected and divided into the BC7 group(25 cases before study)and AC7 group(25 cases after study).The operation time,SGB success rate,number of adjusted needle tips,dosage of anaesthetic and adverse reaction of patients in both group were recorded.Results The main muscles observed in the C7 plane were the longissimus and anterior scalene muscles,the ultrasonographic anatomical relationships of the vagus nerve located in the carotid sheath,the pleura located posterior to the subclavian artery,and the recurrent laryngeal nerve located in the vicinity of the branches of the inferior thyroid artery are described,and the stellate ganglion was illustrated as a flattened hypoechogenic structure visible on the deep surface of the prevertebral fascia in the region of the external cervical longissimus muscle,vertebral artery and vein,and the medial aspect of the anterior oblique muscle,and emanated the sonographic features of several hypoechoic nerve bundles.Ultrasound guided SGB was completed uneventfully in patients of both groups,and all patients developed Horner syndrome,with the SGB success rate of 100%.The operation time[(5.36±1.11)minutes]of patients in the BC7 group was longer than that in the AC7 group[(3.08±0.86)minutes],the number of adjusted needle tips[(4.20±1.00)times]of patients in the BC7 group was more than that in the AC7 group[(2.24±0.87)times],and the dosage of anaesthetic[(1.82±0.28)mL]of patients in the BC7 group was more than that in the AC7 group[(1.64±0.22)mL],all the differences were statistically significant(P<0.05).There was no significant difference in the incidence of adverse reaction between the two groups(P>0.05).Conclusion After ultrasonic learning of adjacent structures through C7 transverse process,SGB is safe and easy to perform.

Objective To observe the clinical and symptomatic improvement three months after uterine artery embolization(UAE),and to analyze the value of apparent diffusion coefficient(ADC)in MR diffusion weighted imaging(DWI)in assessing the response of fibroids volume after UAE.Methods A total of 40 patients with uterine fibroids were included.The volume changes of fibroids,clinical and symptomatic improvement before and after treatment were recorded,and the efficacy of UAE was comprehensively analyzed.All patients underwent MR DWI before UAE and were evaluated at three months postoperatively by outpatient MR follow-up,with fibroids vol-ume and ADC quantitative measurements were performed to compare the changes in ADC values of fibroids preoperatively and post-operatively at each b value.Pearson correlation analysis was performed to analyze the correlation between baseline ADC values and postoperative fibroids volume reduction.Regression analysis was performed to assess the relationship between ADC and fibroids volume reduction after UAE.And the receiver operating characteristic(ROC)curve were plotted to analyze the predictive value of ADC values for evaluating fibroids volume reduction of more than 30％after UAE.Results The patients'clinical symptoms was improved in the three months after surgery,the volume of fibroids was significantly reduced,and the life quality was improved,the difference was sta-tistically significant(P＜0.05).There was no significant effect on ovarian function,hormone levels did not change significantly com-pared to before surgery,with no statistical significance(P＞0.05).When b=50,1 000 s/mm2,the changes in ADC values before and after uterine fibroids treatment were not significant,with no statistical significance(P＞0.05).However,the changes in ADC values before and after uterine fibroids treatment were significant when b=800 s/mm2 and the difference was statistically significant(P＜0.05).Under the condition of b=800 s/mm2,Pearson correlation analysis showed ADC value had a positive correlation with postoperative uterine fibroids volume reduction rate(r=0.45,P＜0.05),and the area under the curve(AUC)for ADC value to predict the reduction rate of uterine fibroids volume by more than 30％after UAE was 0.787.The cut-off value was 1.143 × 10-3 mm2/s,with sensitivity and specificity of 0.793 and 0.818,respectively.Conclusion UAE is more effective in treating uterine fibroids.The baseline ADC value of uterine fibroids correlated significantly with the volume reduction after UAE.The ADC value can be used to assess the volume response after UAE.

Eleutherococcus senticosus is one of the Dao-di herbs in northeast China. In this study, the chloroplast genomes of three E. senticosus samples from different genuine producing areas were sequenced and then used for the screening of specific DNA barcodes. The germplasm resources and genetic diversity of E. senticosus were analyzed basing on the specific DNA barcodes. The chloroplast genomes of E. senticosus from different genuine producing areas showed the total length of 156 779-156 781 bp and a typical tetrad structure. Each of the chloroplast genomes carried 132 genes, including 87 protein-coding genes, 37 tRNAs, and 8 rRNAs. The chloroplast genomes were relatively conserved. Sequence analysis of the three chloroplast genomes indicated that atpI, ndhA, ycf1, atpB-rbcL, ndhF-rpl32, petA-psbJ, psbM-psbD, and rps16-psbK can be used as specific DNA barcodes of E. senticosus. In this study, we selected atpI and atpB-rbcL which were 700-800 bp and easy to be amplified for the identification of 184 E. senticosus samples from 13 genuine producing areas. The results demonstrated that 9 and 10 genotypes were identified based on atpI and atpB-rbcL sequences, respectively. Furthermore, the two barcodes identified 23 genotypes which were named H1-H23. The haplotype with the highest proportion and widest distribution was H10, followed by H2. The haplotype diversity and nucleotide diversity were 0.94 and 1.82×10~(-3), respectively, suggesting the high genetic diversity of E. senticosus. The results of the median-joining network analysis showed that the 23 genotypes could be classified into 4 categories. H2 was the oldest haplotype, and it served as the center of the network characterized by starlike radiation, which suggested that population expansion of E. senticosus occurred in the genuine producing areas. This study lays a foundation for the research on the genetic quality and chloroplast genetic engineering of E. senticosus and further research on the genetic mechanism of its population, providing new ideas for studying the genetic evolution of E. senticosus.
DNA Barcoding, Taxonomic ; Eleutherococcus/genetics* ; Base Sequence ; Chloroplasts/genetics* ; Genetic Variation ; Phylogeny