Optical brain-computer interface (OBCI) represents an emerging class of neural interaction technologies that use “light” as an information carrier to enable the acquisition, decoding, and modulation of neural signals. Compared with conventional electrical brain-computer interface (BCI), OBCI demonstrates distinct advantages in spatial resolution, cell-type specificity, and the capacity for simultaneous multiparametric monitoring. Driven by rapid advances in functional near-infrared spectroscopy, optical neuroimaging, and optogenetics, optical approaches have progressively extended across the full “read, decode, write” continuum of neural activity, providing a novel technological framework for the development of high-precision closed-loop brain-computer systems. This review systematically summarizes the principal technological strategies and recent advances in OBCI, and further discusses the key challenges encountered during clinical translation, as well as future development direction.

Bladder tumor is a common tumor in the urinary system, posing a serious threat to patients’ health and quality of life. The standard surgical method for non-muscle-invasive bladder cancer is the transurethral resection of bladder tumor. As a new type of minimally invasive treatment, transurethral holmium laser has shown unique advantages in the treatment of bladder tumors. This work introduces the epidemiological characteristics of bladder tumors and the limitations of traditional treatment methods and elaborates on the technical principles, development history of holmium laser and its application status in the treatment of bladder tumors. By analyzing clinical research data, it compares therapeutic effects between holmium laser and other treatment methods. It also presents the key points of surgical techniques, perioperative management strategies, and measures for the prevention and treatment of complications. This research discusses the current technical challenges and future development directions in holmium laser treatment, providing references for clinical practice and research.

[This corrects the article DOI: 10.1016/j.apsb.2022.03.002.].

Gene regulation relies on the precise binding of transcription factors (TFs) at regulatory elements, but simultaneously detecting hundreds of TFs on chromatin is challenging. We developed cFOOT-seq, a cytosine deaminase-based TF footprinting assay, for high-resolution, quantitative genome-wide assessment of TF binding in both open and closed chromatin regions, even with small cell numbers. By utilizing the dsDNA deaminase SsdAtox, cFOOT-seq converts accessible cytosines to uracil while preserving genomic integrity, making it compatible with techniques like ATAC-seq for sensitive and cost-effective detection of TF occupancy at the single-molecule and single-cell level. Our approach enables the delineation of TF footprints, quantification of occupancy, and examination of chromatin influences on TF binding. Notably, cFOOT-seq, combined with FootTrack analysis, enables de novo prediction of TF binding sites and tracking of TF occupancy dynamics. We demonstrate its application in capturing cell type-specific TFs, analyzing TF dynamics during reprogramming, and revealing TF dependencies on chromatin remodelers. Overall, cFOOT-seq represents a robust approach for investigating the genome-wide dynamics of TF occupancy and elucidating the cis-regulatory architecture underlying gene regulation.
Transcription Factors/genetics* ; Humans ; Chromatin/genetics* ; Animals ; Binding Sites ; Mice ; DNA Footprinting/methods*

Objective To screen immune-related long non-coding RNAs(LncRNAs)in the TCGA database pancreatic cancer dataset and construct a prognostic risk assessment model with immune-related LncRNAs to explore prognosis-related potential molecular mechanisms.Methods RNA-seq data of 171 pancreatic cancer samples and corresponding clinical information were obtained by The Cancer Genome Atlas(TCGA)database,and two classical immune-related gene datasets(GO0006955/IMMUNE RESPONSE and GO0002376/IMMUNE SYSTERM PROCESS)and gene annotation information were used to identify immune-related LncRNAs.The immune-related LncRNAs associated with pancreatic cancer prognosis were used for univariate and multivariate Cox analyses to establish a model for the assessment of pancreatic cancer prognostic risk based on immune-associated LncRNAs.This risk model was used for survival analysis,clinical correlation analysis,immune cell infiltration analysis,pathway enrichment analysis,and prognostic column line plot modeling.Results We screened 119 immune-related LncRNAs in pancreatic cancer,and five immune-related LncRNAs(AC064836.3,LINC00941,ZNF236-DT,TMEM161B-AS1 and AC068580.2)were identified for the development of pancreatic cancer prognostic risk assessment model.According to the prognostic risk assessment model,pancreatic cancer patients were divided into low-risk group(n=86)and high-risk group(n=85).Compared with the low-risk group,the high-risk group showed a significant negative enrichment trend for immune-related signaling pathways,the 5-year overall survival of pancreatic cancer patients was significantly increased in the low-risk group compared with the high-risk group.The expression of low-risk immune-related LncRNAs(AC064836.3,ZNF236-DT and TMEM161B-AS1)gradually decreased with increasing clinical stage of pancreatic cancer patients.Patient age(P=0.031,risk ratio and 95％CI:1.025/1.002-1.048)and prognostic risk score(P＜0.001,risk ratio and 95％ confidence interval 1.801/1.465-2.215)could be used as independent prognostic risk factors for overall survival in pancreatic cancer.In addition,the prognostic risk assessment model had better predictive efficiency(area under the curve=0.695)compared with the disease predictive ability of common clinical characteristics.Steroid biosynthesis,pentose phosphate pathway,intercellular linkage,cytoskeletal rearrangement and other pathways related to energy metabolism and invasive migration of pancreatic cancer cells were significantly activated in the high-risk group.Meanwhile,pancreatic cancer patients in the high-risk group had lower levels of naive B cells,plasma cells and neutrophils with anti-tumor activity,but their macrophage infiltration levels were significantly higher than those in the low-risk group.Conclusion The prognostic risk assessment model constructed based on five immune-related LncRNAs can effectively predict the survival status,clinical characteristics,molecular pathways,and immune cell infiltration differences of pancreatic cancer patients.Meanwhile,relying on this model,the prognosis of pancreatic cancer patients can be prospectively predicted,which enhances the usefulness of this risk prediction model.

Dental implantology has developed rapidly for over half a century,since pure titanium(99.7％)dental cylindrical threaded implants were exploited and osseointegration was introduced in 1960s by Prof.Br?nemark.The long term retention rates of 10 years or more are over 95％.However,the biological complications jeopardize the long term effects of dental implant treatment seriously.The prevalence of dental implant biological complications varies greatly among different reports resulting from the disparities on the defini-tions of dental implant biological complications.After analyzing and summarizing the major opinions proposed internationally in recent years,the consensus for the definition of dental implant biological complications has been reached.Generally the dental implant biologi-cal implications can be classified into early stage(before restoration)biological complications and late stage(after restoration)biological complications.The early stage biological complications include acute and chronic infections,pain,soft tissue deficiency,and osseointegration failure,etc.The late stage complications include peri-implant diseases(peri-implant mucositis and peri-implantitis),soft tissue deficiency around implant,implant loosening and dropping off,etc.The various risk factors related to different dental implant biological complications,the strategies of the prevention and treatment for the dental implant biological complications have been discussed comprehensively,and the consensus has been reached.It is aimed to advocate the dentist to pay more attention to the early prevention of the biological implant complications,to promote more researches on the implant biological complications,and to help elevate the level of dental implantology in our country.

Edentulous patients often present with severe alveolar bone resorption, restructured maxillofacial anatomy, and loss of occlusal relationships, making implant-supported rehabilitation technically more challenging—particularly in terms of guide stability, implant positioning accuracy, and prosthesis design. Traditional treatment workflows largely rely on clinician experience, which is inherently subjective and limits the ability to achieve precise, controlled implant placement and predictable restorative outcomes. In recent years, the widespread adoption of digital technologies has brought transformative progress to implantology for edentulous jaws. Innovations span from preoperative imaging and 3D reconstruction, intelligent surgical planning, personalized guide design, dynamic navigation, and robotic-assisted implant placement, to digital prosthesis design and immediate loading protocols. These advancements have markedly improved surgical precision, procedural efficiency, and patient satisfaction. This article systematically reviews the key applications and clinical value of digital technologies across the various stages of implant rehabilitation in edentulous cases. We also highlight current challenges, such as high costs and dependence on specialized equipment. Finally, we explore future directions toward more intelligent and integrated solutions that are driven by advances in artificial intelligence, multimodal image fusion, and robotics.

Objective:To evaluate the efficacy and safety of endoscopic submucosal dissection (ESD) for the treatment of ileocecal valve lipoma.Methods:A retrospective cohort study was performed on data of ileocecal lipoma patients who underwent ESD at the Endoscopy Center of Zhongshan Hospital, Fudan University from December 2013 to June 2023. According to the lesion location, the patients were divided into ileocecal valve group and cecum group. The operation time, operation speed, en bloc resection rate, complications, and follow-up outcomes between the two groups were compared.Results:A total of 59 patients with ileocecal lipoma were enrolled, including 31 patients in the ileocecal valve group and 28 patients in the cecum group.There were no significant differences in gender, age, specimen size, or lesion size between the two groups ( P>0.05). Lipomas in both the ileocecal valve group and the cecum group were successfully resected by ESD. The en bloc resection rates were 100.0% (31/31) and 92.9% (26/28) respectively, and the difference was not statistically significant ( χ2=0.033, P=0.133). Median operative duration significantly differed between the two groups ( ileocecal valve group 26 min VS cecum group 20 min, Z=-0.136, P=0.027), as did resection speed (ileocecal valve group 0.14 cm2/min VS cecum group 0.24 cm2/min, Z=-0.223, P=0.022). Adverse events included one postoperative fever in the ileocecal valve group and one delayed bleeding in the cecum group. During the median follow-up of 38 months (7-106 months), there was no case of residual tumor or recurrence. Conclusion:Despite technical challenges in ESD of ileocecal valve lipoma, it is still a safe, feasible and effective treatment method.

Objective:To evaluate the impact of implementing a regional hierarchical medical management model based on the medical internet of things (medical IoT) on the frequency of emergency department visits and hospitalizations, as well as related medical expenses, in patients with chronic obstructive pulmonary disease (COPD).Methods:This retrospective study included COPD patients enrolled in the regional hierarchical medical management system based on Medical IoT across 21 community health service centers in Songjiang District, Shanghai, between July 2017 and May 2018. Utilizing patient data from the year prior to enrollment as the baseline, changes in the number of emergency visits, hospitalizations, and associated medical costs during the first and second years of management were compared. Changes for patients receiving drug treatment were also analyzed.Results:A total of 973 COPD patients were enrolled. The mean age was 75.2±17.0 years, and 64.34% (626/973) were male. Compared to baseline, all COPD patients in the first year of management showed significant reductions: emergency visits decreased by 33.67%, total emergency costs by 45.60%, hospitalizations by 27.15%, and total hospitalization costs by 25.42%. In the second year, reductions were: emergency visits by 28.08%, total emergency costs by 36.10%, hospitalizations by 35.26%, and total hospitalization costs by 18.13% (all P<0.05). Among patients receiving drug therapy, reductions in the first year were: emergency visits by 39.66%, total emergency costs by 47.54%, hospitalizations by 25.19%, and total hospitalization costs by 28.40%. In the second year, reductions were: emergency visits by 46.98%, total emergency costs by 45.99%, hospitalizations by 41.98%, and total hospitalization costs by 24.94% (all P<0.05). No significant differences were observed before and after management for patients without drug treatment. Conclusion:The implementation of the regional hierarchical medical management model based on Medical IoT significantly reduced the frequency of emergency visits and hospitalizations, as well as related costs, for COPD patients.

Objective:To improve the isolation and culture method of seasonal influenza virus in embryonated chicken eggs (ECEs), and evaluate their isolation efficiency.Methods:We randomly selected 80 positive samples of H1N1 (H1N1pdm09) and seasonal H3N2 (H3N2snl) influenza virus nucleic acid, and inoculated them into the amniotic and urinary sac cavities of 10-day-old (traditional method) and 14-day-old (improved method) ECEs respectively to adapt the virus to the ECEs (E1-E2). Both method were used to inoculate 10-day-old urinary sac amplification virus (E2-E3), and the final virus isolation positive rates of the two method were compared; using fluorescence quantitative PCR method to detect viral nucleic acids in the improved amniotic and urinary sac cultures, and evaluate the viral proliferation at different inoculation sites; we analyzed the correlation between virus content and isolation positivity rate in the original specimen based on the CT value of nucleic acid testing and the final virus isolation positivity rate using the improved method.Results:The improved method obtained 42 strains of H1N1pdm09 strain, with a positive rate of 52.5% ( χ2=38.571, P<0.01); obtained 54 strains of H3N2snl strain, with a positive rate of 67.5% ( χ2=40.921, P<0.01). Significant differences were observed in the isolation efficiency of H1N1pdm09 samples when the improved method was applied to different inoculation sites of chicken embryos ( χ2=30.476, P<0.01), and similar differences were noted for H3N2snl samples ( χ2=4.928, P=0.026). There was no significant difference in the isolation rate of different CT value intervals of the original samples ( χH1N1pdm092=10.226, χH3N2snl2=3.764, P>0.05). Conclusions:The improved method of inoculating 14-day old ECEs adapted the virus, and the final number of strains obtained was significantly higher than the traditional method of inoculating 10 day old ECEs, which can significantly improve the positive isolation rate of H1N1pdm09 and H3N2snl influenza virus in ECEs. The amniotic cavity is more sensitive to H1N1pdm09 and H3N2snl influenza viruses, which helps the virus adapt in ECEs. There was no significant difference in the sample isolation rate and total positive rate of virus isolation among different CT value ranges, and further verification is needed.