OBJECTIVE:Anterior cervical decompression and fusion is a classic surgical method for the treatment of degenerative cervical spondylosis.The use of nail plates increases the fusion rate and stability and indirectly leads to adjacent vertebral degeneration and postoperative dysphagia.In this paper,the clinical results and complications of ROI-CTM self-locking system and traditional cage combined with screw-plate internal fixation in the treatment of degenerative cervical spondylosis were compared by meta-analysis to provide evidence-based support for the selection of internal fixation methods in anterior cervical decompression and fusion. METHODS:CNKI,WanFang,VIP,PubMed,Cochrane Library,Web of Science,and Embase databases were searched for Chinese and English literature on the application of ROI-CTM self-locking system and fusion cage combined with screw plate internal fixation in the treatment of degenerative cervical spondylosis.The retrieval time range was from inception to July 2023.Two researchers selected the literature strictly according to the inclusion and exclusion criteria.The Cochrane bias risk tool was used to evaluate the quality of randomized controlled trials.Newcastle-Ottawa Scale was used to assess the quality of cohort studies.Meta-analysis was performed using RevMan 5.4 software.Outcome indicators included operation time,intraoperative blood loss,Japanese Orthopaedic Association score,Neck Disability Index,C2-C7 Cobb angle,fusion rate,incidence of adjacent vertebral degeneration,cage subsidence rate,and incidence of dysphagia. RESULTS:Thirteen articles were included,including eleven retrospective cohort studies and two randomized controlled trials,with 1 136 patients,569 in the ROI-C group,and 567 in the cage combined with the nail plate group.Meta-analysis results showed that the operation time(MD=-15.52,95%CI:-18.62 to-12.42,P<0.000 01)and intraoperative blood loss(MD=-24.53,95%CI:-32.46 to-16.61,P<0.000 01)in the ROI-C group and the fusion device combined with nail plate group.Postoperative adjacent segment degeneration rate(RR=0.40,95%CI:0.27-0.60,P<0.000 01)and postoperative total dysphagia rate(RR=0.18,95%CI:0.13-0.26),P<0.000 01)were statistically different.The two groups had no significant difference in Japanese Orthopaedic Association score,Neck Disability Index,C2-C7 Cobb angle,fusion rate,or cage subsidence rate(P≥0.05). CONCLUSION:Applying an ROI-CTM self-locking system and traditional cage combined with plate internal fixation in anterior cervical decompression and fusion can achieve satisfactory clinical results in treating degenerative cervical spondylosis.The operation of the ROI-CTM self-locking system is more straightforward.Compared with a cage combined with plate internal fixation,the ROI-CTM self-locking system can significantly reduce the operation time and intraoperative blood loss and has obvious advantages in reducing the incidence of postoperative dysphagia and adjacent segment degeneration.The ROI-CTM self-locking system is recommended for patients with skip cervical spondylosis and adjacent vertebral disease.However,given its possible high settlement rate,using a fusion cage combined with screw-plate internal fixation is still recommended for patients with degenerative cervical spondylosis with multiple segments and high-risk factors of fusion cage settlement,such as osteoporosis and vertebral endplate damage.

AIM:To investigate the interaction mechanisms of estrogen receptor β(ERβ),nuclear factor-κB(NF-κB)and activator protein-1(AP-1)in colorectal cancer by analyzing the transcriptome data after tumor necrosis fac-tor α(TNF-α)treatment and combining it with NF-κB/p65 and ERβ cistrome data in colon cancer cell lines HT29 and SW480.METHODS:The TNF-α transcriptome was integrated with p65 and ERβ cistrome data.Protein interaction net-works of TNF-α,NF-κB/p65 and ERβ were constructed in colon cancer cell lines HT29 and SW480 using R.RE-SULTS:TNF-α regulated genes through p65 DNA binding,which were mainly enriched in the NF-κB and mitogen-acti-vated protein kinase(MAPK)pathways.Components of the NF-κB/p65 and MAPK pathways had potential interactions with AP-1 family proteins.ERβ overexpression did not significantly affect TNF-α-mediated gene regulation but may regu-late AP-1 activity through the MAPK and phosphatidylinositol 3-kinase(PI3K)/Akt pathways.Furthermore,ERβ de-creased p65 DNA binding sites in HT29 but increased p65 binding sites in SW480,suggesting cell line-specific regulation of NF-κB by ERβ.CONCLUSION:In colorectal cancer,NF-κB,ERβ and AP-1 have potential interactions:TNF-α can regulate AP-1 through NF-κB,while ERβ overexpression can alter NF-κB-mediated regulation,and the influence of ERβ on NF-κB may be gender-related.

Conventional 1.5T and 3.0T cardiac MRI(CMRI)had been widely used.The ultrahigh field MR behaved better in image resolution and signal-to-noise ratio.The domestic 5.0T whole-body ultrahigh field MRI had better balance between the field strength and quality in CMRI,which was expected to improve imaging quality and efficiency.The status challenges and future of 5.0T CMRI were reviewed in this paper.

Objective To understand the changing trend of Internet outpatient visits in public hospitals,and provide support for the development planning of Internet hospitals.Methods Using the data of Internet outpatient visits in a public hos-pital from January 2021 to June 2023,the ARIMA model and GM(1,1)model were constructed respectively.The mean absolute error(MAE)and root mean square error(RMSE)were used to evaluate the fitting effect,and the Internet outpatient visits from July to December 2023 were predicted based on the dominance model.Results ARIMA(1,2,1)model and GM(1,1)model were used to predict the number of return visits of Internet outpatient service.The average absolute errors were 369.86 and 978.84,and the root-mean-square errors were 479.49 and 1444.83,respectively.The ARIMA(0,1,0)model and GM(1,1)model were used to predict the number of Internet outpatient consultations.The average absolute errors were 297.23 and 369.62,and the root-mean-square errors were 413.61 and 496.30,respectively,indicating that the ARIMA model has a good prediction effect.The forecast results show that the predicted value of Internet outpatient visits in December 2023 is 14,831 cases,and the predicted value of consultation visits is 7461 cases.Conclusion The number of Internet outpatient visits in a public hospital will continue to rise from 2021 to 2023.Therefore,hospitals should fully realize the importance of Internet medical services,take ac-tive measures to continuously optimize the medical service model,and provide patients with high-quality,efficient and convenient Internet medical services.

Objective To investigate the changing trend of the current situation of Internet-based oncology outpatient treatment and provide support for the development and management of Internet hospitals.Methods The ARIMA and GM(1,1)models were constructed based on the Internet-based outpatient data of a cancer hospital from January 2021 to June 2023,and the fitting effect was evaluated by mean absolute error(MAE)and root mean square error(RMSE).Based on the model,the pro-portion of Internet-based outpatient visits and the offline outpatient visits were predicted from July to December 2023.Results ARIMA(1,1,2)and GM(1,1)models were used to predict the proportion of Internet-based outpatient visits.The average abso-lute errors were 2.06%and 2.41%,and the root-mean-square errors were 3.01%and 3.17%,respectively.The ARIMA(0,1,1)and GM(1,1)models were used to predict the proportion of Internet-based outpatient visits to the offline outpatient visits,with the rate of the average absolute errors of 0.58%and 1.08%,respectively,and the rate of the root mean square errors 0.75%and 1.31%,respectively.The figures indicated that the ARIMA model had a better prediction effect.The forecast results showed that the predicted value of Internet outpatient service in December 2023 was 90.35%,and the predicted value of Internet-based outpatient service accounted for 16.46%of the offline outpatient service.Conclusion In 2021-2023,the proportion of Inter-net-based outpatient visits in the cancer hospital showed a steady trend,and the proportion of Internet outpatient visits in the off-line outpatient visits showed a rising trend.Therefore,hospitals need to establish a continuous monitoring mechanism,constantly adjust management strategies and measures to meet the needs of patients and continue to promote the high-quality development of Internet-based medical services.

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.

Tyrosine kinase inhibitors (TKIs) have revolutionized the treatment landscape for chronic myeloid leukemia (CML). However, TKI resistance poses a significant challenge, leading to treatment failure and disease progression. Resistance mechanisms include both BCR::ABL1-dependent and BCR::ABL1-independent pathways. The mechanisms underlying BCR::ABL1 independence remain incompletely understood, with CML cells potentially activating alternative signaling pathways, including the AKT/mTOR and JAK2/STAT5 pathways, to compensate for the loss of BCR::ABL1 kinase activity. This study explored tumoral VISTA (encoded by VSIR) as a contributing factor to TKI resistance in CML patients and identified elevated tumoral VISTA levels as a marker of resistance and poor survival. Through in vitro and in vivo analyses, we demonstrated that VSIR knockdown and the application of NSC-622608, a novel VISTA inhibitor, significantly impeded CML cell proliferation and induced apoptosis by attenuating the AKT/ mTOR and JAK2/STAT5 pathways, which are crucial for CML cell survival independent of BCR::ABL1 kinase activity. Moreover, VSIR overexpression promoted TKI resistance in CML cells. Importantly, the synergistic effect of NSC-622608 with TKIs offers a potent therapeutic avenue against both imatinib-sensitive and imatinib-resistant CML cells, including those harboring the challenging T315I mutation. Our findings highlight the role of tumoral VISTA in mediating TKI resistance in CML, suggesting that inhibition of VISTA, particularly in combination with TKIs, is an innovative approach to enhancing treatment outcomes in CML patients, irrespective of BCR::ABL1 mutation status. This study not only identified a new pathway contributing to TKI resistance but also revealed the possibility of targeting tumoral VISTA as a means of overcoming this significant clinical challenge.

Objective:To understand the identification value of pointing gestures in children with autism spectrum disorder(ASD) and its relationship with functional development.Methods:From December 2020 to November 2021, 1 099 children from Children’s Health Care Center of Beijing Children’s Hospital were tested by pointing gestures test, including 942 ASD children and 157 typical developed children.And the data of children's neuropsychological development scale from 800 children aged 1.0-5.9 were collected.SPSS 20.0 was used for statistical analysis. Trend test was used to analyze the distribution of pointing gestures test sensitivity in autistic children, and ANOVA was used to analyze the relationship between pointing gestures test scores and functional development fields.Results:The sensitivity of pointing gestures was 83.5% in children aged 1.0-10.0 years, 76.3%-93.1% in children aged 1.0-4.9 years, and 93.1%-95.1% in children aged 1.0-2.9.With the increase of age, the sensitivity of pointing gestures in autistic children (linear-by-linear association =164.889, P<0.001) and the Yoden index had a decreasing trend. The positive predictive value (91.53%-100.00%) and negative predictive value (75.36%-91.84%) were found in the children aged 1.0-10.0 years.The sensitivity of pointing gestures test was 44.9% in children with mild autism aged 1.0-10.0 years and 46.5%-65.9% in children with mild autism aged from 1.0-3.9 years. The sensitivity of pointing gestures test was 81.5% in children with moderate autism aged from 1.0-10.0 years and 87.3%-97.8% in children with moderate autism aged 1.0-3.9 years. The sensitivity of the pointing gestures test was 97.2% in children with severe autism aged 1.0-10.0 years, and 100.0% in children with severe autism aged 1.0-3.9 years. The sensitivity of the pointing gestures in mild, moderate and severe autism children decreased with age (linear-by-linear association values were 16.725, 64.232, 66.732 respectively, all P<0.001). The children with severe autism mainly scored 2 points (80.3%, 419/522) on the pointing gestures test , and children with moderate autism mainly scored 1 point(64.2%, 170/265) on the pointing gestures test. There were significant differences in functional development among different pointing gestures test groups.Functional development score in the autism children with 0 score of pointing gestures test was significantly higher than those with 1 score and 2 scores of pointing gestures test (all P<0.05). Conclusion:Pointing gestures has good sensitivity in children with autism (especially 1.0-4.9 years of age), and may serve as an objectively observable screening method. The better children with autism score on the pointing gestures, the better their functional development.

Objective:To explore the regulatory effect of glutathione S-transferase P1(GSTP1) on the radiosensitivity of mouse Lewis lung cancer (LLC) cells.Methods:GSTP1-shRNA lentivirus and negative control lentivirus were used to respectively infect the LLC cells, and stable transgenic strains were selected. Real-time PCR and Western blot were conducted to quantitatively measure the expression levels of GSTP1 mRNA and protein in the LLC cells to verify the knockdown effect. The cell counting kit-8(CCK-8) assay was used to detect cell viability after irradiation. The colony formation assay was utilized to assess the cell proliferation ability after irradiation. Flow cytometry was performed to assess the level of cell apoptosis after irradiation. The tumor-bearing mice were established and irradiated to detect the changes in the tumor volume after irradiation. TUNEL staining was employed to detect the level of tumor apoptosis after irradiation. Immunofluorescence was used to detect the number of CD 4+ CD 8+ T cells in the tumor after irradiation. Results:Real-time PCR and Western blot showed that after shRNA lentivirus interference, the expression levels of GSTP1 mRNA and protein were significantly down-regulated. Down-regulation of GSTP1 reduced cell viability and proliferation, and increased the rate of cell apoptosis after irradiation. The tumor volume of the tumor-bearing mice after irradiation in the GSTP1 knockdown group was significantly smaller than that in the NC group, whereas the tumor apoptosis rate was significantly higher and the number of infiltrating CD 4+ CD 8+ T cells in the tumor was remarkably higher compared with those in the control group. Conclusion:Knockdown of GSTP1 can significantly increase the radiosensitivity of LLC cells and enhance the infiltration of lymphocytes in tumor tissues.

Compressed sensing (CS) has been investigated in magnetic resonance (MR) parametric mapping to reduce scan time. However, the relatively long reconstruction time restricts its widespread applications in the clinic. Recently, deep learningbased methods have shown great potential in accelerating reconstruction time and improving imaging quality in fast MR imaging, although their adaptation to parametric mapping is still in an early stage. In this paper, we proposed a novel deep learningbased framework DEMO for fast and robust MR parametric mapping. Different from current deep learning-based methods, DEMO trains the network in an unsupervised way, which is more practical given that it is difficult to acquire large fully sampled training data of parametric-weighted images. Specifically, a CS-based loss function is used in DEMO to avoid the necessity of using fully sampled k-space data as the label, thus making it an unsupervised learning approach. DEMO reconstructs parametric weighted images and generates a parametric map simultaneously by unrolling an interaction approach in conventional fast MR parametric mapping, which enables multi-tasking learning. Experimental results showed promising performance of the proposed DEMO framework in quantitative MR T1ρ mapping.