Tuberculosis (TB) is a chronic infectious disease caused by Mycobacterium tuberculosis, which is primarily transmitted through the respiratory tract, and remains one of the diseases with the highest mortality rate of single-pathogen infections globally. The cell wall polysaccharides of M. tuberculosis are critical for maintaining bacterial structure, mediating pathogenesis, and enabling immune evasion. Lipoarabinomannan (LAM), a key polysaccharide component, has revolutionized non-invasive diagnostic technologies as a TB biomarker, while polysaccharide-based vaccines have emerged as innovative strategies for TB prevention. This review systematically examines the composition, subcellular distribution, and functional roles of M. tuberculosis cell wall polysaccharides in bacterial metabolism, drug resistance, and immune regulation. A particular emphasis is placed on recent advancements in LAM-based diagnostics and vaccine development. Future studies should utilize advanced technologies to precisely characterize the structural features of TB polysaccharides and explore their biological functions, providing a foundation for targeted diagnostic and therapeutic innovations. This article aims to provide reference for advancing both basic research and clinical applications related to M. tuberculosis.

The recording and analysis of activities of calcium signals in neurons is of critical importance in the field of neuroscience.Over the past three decades,various fluorescent calcium imaging techniques not only have been used in the imaging study of functional activities of neuronal communities,but also can be combined with specific markers to record the functional activities of specific types of neuronal communities.To analyze neural activities at the cellular level,a series of preprocessing such as motion correction,cell body recognition,calcium signal extraction and peak deconvolution is required for the collected video.However,current methods for manual preprocessing are time-consuming and laborious,so computer automatic analysis technology is urgently needed to quickly repair the jitter in the video,identify the position and outline of a single cell,extract its activity trajectory and infer the action potential peak.In this paper,the methods of calcium imaging data processing used in recent years are summarized,and the future developments are predicted.

Objective To build a neural network based on the Unet infrastructure for recognition and segmentation of two-dimensional calcium imaging fluorescence images.Methods The in vivo miniaturized two-photon microscope(mTPM)was used for brain calcium imaging in freely moving mice.The imaging data was motion corrected using the NoRMCorre algorithm and processed using ImageJ software to obtain the original images after correction,and the labels were produced using the Labelme software.The neural network HDCGUnet was built using the original images and labels for training,and optimized to improve the model structure according to the training effect.Finally,the evaluation indexes were selected and compared with those of other models to verify the utility of this model.Results The HDCGUnet model,which was collected and made on our own,performed best in the two-photon calcium imaging dataset compared to other models,and performed well on the BBBC dataset either.Conclusion The HDCGUnet model provides a novel alternative for the recognition and segmentation of two-photon calcium imaging images.

Human-animal interaction has a long-standing tradition dating back to ancient times. With the rapid advancements in intelligent chips, wearable devices, and machine algorithms, the intelligent interaction between animals and electronic technology, facilitated by electronic devices and systems for communication, perception, and control, has become a reality. These electronic devices aim to implement an animal-centric working mode to enhance human understanding of animals and promote the development of animal intelligence and creativity. This article takes medium-sized and large animals as research objects, with the goal of developing their ability enhancement, and introduces the concept of “intelligent animal augmentation system (IAAS)”. This concept is used to describe the characteristics of such devices and provides a comprehensive overview of existing animal and computer interface solutions. In general, IAAS can be divided into implantable and non-implantable types, each composed of interface platforms, perception and interpretation, control and instruction components. Through various levels of enhancement systems and architectural patterns, intelligent interaction between humans and animals can be realized. Although existing IAAS still lack a complete independent interaction system architecture, they hold great promise and development space in the future. Not only can they be applied as substitutes for cutting-edge devices and transportation equipment, but they are also expected to achieve cross-species information interaction through intelligent interconnection. Additionally, IAAS can promote bidirectional interaction between humans and animals, playing a significant role in advancing animal ethics and ecological protection. Furthermore, the development of interaction models based on animal subjects can provide insightful research experiences for the design of human-computer interaction systems, thereby contributing to the more efficient realization of the ambitious goal of human-machine integration.

Background::Artificial intelligence (AI) technology represented by deep learning has made remarkable achievements in digital pathology, enhancing the accuracy and reliability of diagnosis and prognosis evaluation. The spatial distribution of CD3 + and CD8 + T cells within the tumor microenvironment has been demonstrated to have a significant impact on the prognosis of colorectal cancer (CRC). This study aimed to investigate CD3 CT (CD3 + T cells density in the core of the tumor [CT]) prognostic ability in patients with CRC by using AI technology. Methods::The study involved the enrollment of 492 patients from two distinct medical centers, with 358 patients assigned to the training cohort and an additional 134 patients allocated to the validation cohort. To facilitate tissue segmentation and T-cells quantification in whole-slide images (WSIs), a fully automated workflow based on deep learning was devised. Upon the completion of tissue segmentation and subsequent cell segmentation, a comprehensive analysis was conducted.Results::The evaluation of various positive T cell densities revealed comparable discriminatory ability between CD3 CT and CD3-CD8 (the combination of CD3 + and CD8 + T cells density within the CT and invasive margin) in predicting mortality (C-index in training cohort: 0.65 vs. 0.64; validation cohort: 0.69 vs. 0.69). The CD3 CT was confirmed as an independent prognostic factor, with high CD3 CT density associated with increased overall survival (OS) in the training cohort (hazard ratio [HR] = 0.22, 95% confidence interval [CI]: 0.12–0.38, P <0.001) and validation cohort (HR = 0.21, 95% CI: 0.05–0.92, P = 0.037). Conclusions::We quantify the spatial distribution of CD3 + and CD8 + T cells within tissue regions in WSIs using AI technology. The CD3 CT confirmed as a stage-independent predictor for OS in CRC patients. Moreover, CD3 CT shows promise in simplifying the CD3-CD8 system and facilitating its practical application in clinical settings.

OBJECTIVE To explore the perioperative risk factors in young children with obstructive sleep apnea.METHODS The 86 young OSA children admitted to Kunming Children's Hospital from January 2020 to December 2022 were divided into general ward group and ICU ward group according to their postoperative treatment.The clinical data of the two groups were compared and analyzed.RESULTS The course of disease and operation time of children in ICU ward group were significantly longer than those in general ward group,OAHI and ODI were significantly greater than those in general ward group,the intraoperative blood loss was significantly more than that in general ward group,MSaO2 and LSaO2 were significantly lower than those in general ward group,and the tonsil size and operation method composition ratio were significantly different from those in general ward group(P<0.05).There were no significant differences in sex composition ratio,age,weight,height,BMI and adenoid size grading ratio between the two groups(P>0.05).The OAHI values of the two groups were significantly negatively correlated with MSaO2 and LSaO2(r=-0.676,-0.724),and significantly positively correlated with tonsil size grade,ODI,operation time and intraoperative blood loss(r=0.242,0.967,0.321,0.446,P<0.05).There was no significant correlation with the course of disease(r=0.172,P>0.05).Multiple linear regression analysis showed that LSaO2 and ODI were independent risk factors for the severity of the child's condition.CONCLUSION The severity of the condition in young OSA children determines the perioperative risk and is influenced by the type of surgery.LSaO2 and ODI are independent risk factors which should be taken seriously by clinicians.

Objective To explore the network structure of anxiety,depression and sleep among individuals under long-term high-altitude exposure.Methods A total of 303 subjects who had resided at high altitudes for more than 6 months on end were selected.The insomnia severity index(ISI),patient health questionnaire(PHQ-9),and generalized anxiety disorder scale(GAD-7)were employed to assess insomnia,depression and anxiety before network analysis was conducted to identify the central and bridge nodes in the symptom network.Results The incidence of moderate or severe depression,anxiety and insomnia were 38.9％[95％confidence interval(CI):33.4％-44.5％],23.1％(95％CI:18.3％-27.9％),and 18.5％(95％CI:14.1％-22.9％),respectively."Noticeability of sleep problems by others"had the highest expected influence centrality,followed by"sleep maintenance""uncontrollable worry""restlessness"and"sleep problems".Five bridge symptoms were identified:"sad mood""sleep problems""restlessness""feeling afraid"and"trouble relaxing".Conclusion Sleep-related symptoms play a crucial role in the overall network structure,serving as both central and bridge nodes.Additionally,the"feeling down or depressed"acts as a bridge node and holds importance in the comorbidity network of anxiety and depression.Targeting these key symptoms through intervention and prevention strategies may improve the psychological well-being of individuals with long-term residence in high-altitude regions.

Objective:To study the diagnostic value of artificial intelligence B-ultrasound image computer-aided diagnosis system (hereinafter referred to as intelligent ultrasound system) in adult goiter.Methods:In June 2022 and March 2023, two phases of thyroid disease survey were carried out in 4 cities in Anhui Province. One village was selected in each city, and 250 adults were selected as survey subjects in each village. Adult bilateral thyroid area was scanned by both intelligent ultrasound system and conventional ultrasound scanning equipment, and the effectiveness of intelligent ultrasound system in the diagnosis of goiter was analyzed based on the results of conventional ultrasound examination. Receiver operating characteristic (ROC) curve was drawn, and Kappa test was used to analyze the consistency between intelligent ultrasound system and conventional ultrasound examination in the diagnosis of goiter. At the same time, Spearman correlation analysis and Bland-Altman method were used to evaluate the consistency of the two methods in measuring thyroid volume.Results:After screening and removing outliers and missing values, a total of 910 adults were included, including 253 males (27.80%) and 657 females (72.20%). The age was (45.92 ± 10.20) years old, ranging from 18 to 60 years old. The sensitivity, specificity, and accuracy of the intelligent ultrasound system for diagnosing adult goiter were 80.00%, 99.67%, and 99.56%, respectively. The area under the ROC curve (AUC) was 0.996, which was consistent with the results of conventional ultrasound examination for diagnosing goiter ( κ = 0.67, P < 0.001). After controlling for variables such as gender, thyroid function, and thyroid nodules, the intelligent ultrasound system showed good consistency with conventional ultrasound examination in the diagnosis of goiter in females, adults with thyroid dysfunction, and adults without thyroid nodules ( κ = 0.66, 0.80, 0.80, P < 0.001). The consistency in the diagnosis of goiter in adults with thyroid nodules was moderate ( κ = 0.56, P < 0.001). Spearman correlation analysis showed a highly positive correlation between the measurement results of adult thyroid volume by intelligent ultrasound system and conventional ultrasound examination ( r = 0.88, P < 0.001). The Bland-Altman method results showed that only 4.62% (42/910) of points in adults were outside the 95% consistency limit, indicating good consistency between intelligent ultrasound system and conventional ultrasound examination in measuring thyroid volume (< 5%). The proportion of points outside the 95% consistency limit in males, adults with thyroid dysfunction, and adults with thyroid nodules was 6.72% (17/253), 5.83% (12/206), and 6.45% (12/186), respectively. Conclusions:The intelligent ultrasound system has certain diagnostic value for adult goiter and has good consistency with conventional ultrasound examination for thyroid volume measurement. However, the accuracy of diagnosis for males and adults with thyroid nodules still needs to be improved.

To clarify the structural characteristics of virus communities carried by primates in the Guangdong region,and evaluate the risk of the important zoonotic virus monkeypox virus(MPXV)being introduced into China through artificially do-mesticated primates,this study conducted metagenomic research on artificially domesticated primates and performed screening for MPXV.Primate samples were collected from 20 wildlife rescue centers or zoos in 14 prefecture level cities in Guangdong Province,and the structural characteristics of virus communities carried by artificially domesticated primates were identified through Illumina sequencing.Fluorescence quantitative PCR detection of MPXV excluded the risk of MPXV being introduced through artificially domesticated primates in Guangdong Prov-ince.A total of 489 oral and pharyngeal swabs and feces from primates were collected.High-throughput sequencing indicated that the viral group structure in the feces of artificially domesti-cated primates in the Guangdong region is complex and shows regional differences.Members of Alphaflexiviridae and Vir-gaviridae,followed by members of Parvoviridae and Genomo-viridae,had the highest abundance.Subsequently,fluorescence quantitative PCR results showed that all primates from wildlife rescue centers or zoos in Guangdong Province were MPXV neg-ative.This study provides the first description of the complex viral structure characteristics of artificially domesticated primates in the Guangdong region,and elucidates the differences in vi-ral communities among artificially domesticated primates in different regions.Our findings suggested that the risk of zoonotic diseases caused by artificially domesticated primates in Guangdong Province is extremely low,and the risk of MPXV being in-troduced into China through artificially domesticated primates in Guangdong Province is zero.

Objective:To analyze the clinical characteristics and prognosis of patients with CD5+diffuse large B-cell lymphoma(DLBCL).Methods:The clinical data of 161 newly treated DLBCL patients in Gansu Provincial Hospital from January 2013 to January 2020 were retrospectively analyzed.According to CD5 expression,the patients were divided into CD5+group and CD5-group.The clinical characteristics and prognosis of the two groups were statistically analyzed.Results:The median age of patients in CD5+group was 62 years,which was higher than 56 years in CD5-group(P=0.048).The proportion of women in CD5+group was 62.96％,which was significantly higher than 41.79％in CD5-group(P=0.043).The proportion of patients with IPI score＞2 in CD5+group was 62.96％,which was higher than 40.30％in CD5-group(P=0.031).Survival analysis showed that the median overall survival and progression-free survival time of patients in CD5+group were 27(3-77)and 31(3-76)months,respectively,which were both shorter than 30(5-84)and 32.5(4-83)months in CD5-group(P=0.047,P=0.026).Univariate analysis showed that advanced age,positive CD5 expression,triple or double hit at initial diagnosis,high IPI score and no use of rituximab during chemotherapy were risk factors for the prognosis of DLBCL patients.Further Cox multivariate regression analysis showed that these factors were also independent risk factors except for advanced age.Conclusion:CD5+DLBCL patients have a worse prognosis than CD5-DLBCL patients.Such patients are more common in females,with advanced age and high IPI score,which is a special subtype of DLBCL.