Biliary atresia （BA） is characterized by progressive inflammation and fibrous obstruction of bile ducts， ultimately leading to cholestatic liver cirrhosis. Kasai surgery is the standard procedure for the treatment of BA， and early diagnosis is a key influencing factor for the prognosis of BA. Indocyanine green （ICG） is a near-infrared photosensitive dye that is efficiently and selectively absorbed by hepatocytes after intravenous injection， and it enters the intestine via bile and is excreted with the feces in the free form， with a favorable safety profile. In addition， ICG can emit fluorescence under near-infrared light， which can be captured by camera instruments and converted into visual images， and ICG fluorescence imaging technology can reflect the intraoperative situation in real time and significantly improve the success rate of the surgical procedure. This article reviews the advances in the application of ICG in early preoperative diagnosis， intraoperative imaging， and postoperative liver function assessment in recent years.

With the emergence of deep learning techniques based on convolutional neural networks, artificial intelligence (AI) has driven transformative developments in the field of medical image analysis. Recently, large language models (LLMs) such as ChatGPT have also started to achieve distinction in this domain. Increasing research shows the undeniable role of AI in reshaping various aspects of medical image analysis, including processes such as image enhancement, segmentation, detection in image preprocessing, and postprocessing related to medical diagnosis and prognosis in clinical settings. However, despite the significant progress in AI research, studies investigating the recent advances in AI technology in the aforementioned aspects, the changes in research hotspot trajectories, and the performance of studies in addressing key clinical challenges in this field are limited. This article provides an overview of recent advances in AI for medical image analysis and discusses the methodological profiles, advantages, disadvantages, and future trends of AI technologies.
Artificial Intelligence ; Humans ; Image Processing, Computer-Assisted/methods* ; Neural Networks, Computer ; Deep Learning ; Diagnostic Imaging/methods*

Gut microbial communities are likely remodeled in tandem with accumulated physiological decline during aging, yet there is limited understanding of gut microbiome variation in advanced age. Here, we performed a metagenomics-based enterotype analysis in a geographically homogeneous cohort of 367 enrolled Chinese individuals between the ages of 60 and 94 years, with the goal of characterizing the gut microbiome of elderly individuals and identifying factors linked to enterotype variations. In addition to two adult-like enterotypes dominated by Bacteroides (ET-Bacteroides) and Prevotella (ET-Prevotella), we identified a novel enterotype dominated by Escherichia (ET-Escherichia), whose prevalence increased in advanced age. Our data demonstrated that age explained more of the variance in the gut microbiome than previously identified factors such as type 2 diabetes mellitus (T2DM) or diet. We characterized the distinct taxonomic and functional profiles of ET-Escherichia, and found the strongest cohesion and highest robustness of the microbial co-occurrence network in this enterotype, as well as the lowest species diversity. In addition, we carried out a series of correlation analyses and co-abundance network analyses, which showed that several factors were likely linked to the overabundance of Escherichia members, including advanced age, vegetable intake, and fruit intake. Overall, our data revealed an enterotype variation characterized by Escherichia enrichment in the elderly population. Considering the different age distribution of each enterotype, these findings provide new insights into the changes that occur in the gut microbiome with age and highlight the importance of microbiome-based stratification of elderly individuals.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Bacteroides ; China ; Diabetes Mellitus, Type 2/microbiology* ; Escherichia coli/classification* ; Gastrointestinal Microbiome/genetics* ; Metagenomics ; East Asian People

ObjectiveTo investigate the effect and mechanism of Taohong Siwutang （TSD） on myocardial ischemia reperfusion injury （MIRI） in ovariectomized （OVX） female mice. MethodAfter the OVX model of female mice was established， the estradiol （E₂） level was detected by enzyme-linked immunosorbent assay （ELISA） to verify the model. Sixty OVX mice were randomly divided into six groups： Sham operation group， model group， low， medium， and high dose groups （9， 18， 36 g·kg^-1） of TSD， and nuclear factor E₂-related factor 2 （Nrf2） inhibitor group， with 10 mice in each group. The MIRI model was verified by a laser speckle flowmeter. The pathological changes in myocardial tissue were detected by 2，3， 5-triphenyltetrazolium chloride （TTC） and hematoxylin-eosin （HE） staining. Serum creatine kinase isoenzyme （CK-MB）， cardiac troponin Ⅰ （CTnⅠ）， malondialdehyde （MDA）， superoxide dismutase （SOD）， interleukin-6 （IL-6）， and interleukin-10 （IL-10） levels were detected by ELISA. The expression of Nrf2 and heme oxygenase-1 （HO-1） were observed by immunofluorescence staining. The expressions of Nrf2， HO-1， apoptotic B-cell lymphomato-2 （Bcl-2）， Bcl-2 associated X protein （Bax）， inflammatory cytokines interleukin-18 （IL-18）， and interleukin-1β （IL-1β） were detected by Western blot. ResultCompared with the sham operation group， the serum levels of CK-MB， CTnⅠ， MDA， and IL-6 in the model group were increased （P<0.01）， and the levels of SOD and IL-10 were decreased （P<0.01）. The damage scores of TTC and HE staining in myocardial tissue were increased （P<0.01）. The expressions of Nrf2 and HO-1 in myocardial tissue by immunofluorescence were decreased （P<0.01）， and the protein expressions of Nrf2， HO-1， and Bcl-2 in myocardial tissue were decreased. The protein expressions of Bax， IL-18， and IL-1β were increased （P<0.01）. Compared with the model group， serum levels of CK-MB， CTnⅠ， MDA， and IL-6 of TSD groups were significantly decreased （P<0.05， P<0.01）， and SOD and IL-10 were significantly increased （P<0.05， P<0.01）. TTC staining and HE staining damage scores of myocardial tissue were significantly decreased （P<0.01）. The expressions of Nrf2 and HO-1 in myocardial tissue by immunofluorescence were increased （P<0.01）. The protein expressions of Nrf2， HO-1， and Bcl-2 were significantly increased （P<0.05， P<0.01）， and those of Bax， IL-18， and IL-1β were significantly decreased （P<0.05， P<0.01）. The effect of the high dose group of TSD was the most significant. The serum levels of CK-MB， CTnⅠ， MDA， and IL-6 in the Nrf2 inhibitor group were significantly increased （P<0.05， P<0.01）， and the levels of SOD and IL-10 were significantly decreased （P<0.05， P<0.01）. The damage scores of TTC and HE staining in myocardial tissue were significantly increased （P<0.01）. The expressions of Nrf2 and HO-1 in myocardial tissue by immunofluorescence were significantly decreased （P<0.01）. The protein expressions of Nrf2， HO-1， and Bcl-2 in myocardial tissue were significantly decreased， and those of Bax， IL-18， and IL-1β were significantly increased （P<0.01）. ConclusionTSD can alleviate MIRI in OVX mice， reduce oxidative stress response and the release of inflammatory factors， and inhibit apoptosis， playing a protective role in OVX mice with MIRI， which may be related to the activation of Nrf2/HO-1 signaling pathway.

Objective To investigate the synergistic protective effects of WR-2721 combined with lentinan and cytokines against radiation damage in mice, and to provide a new treatment for acute radiation injury. Methods Seventy Institute of Cancer Research mice were divided into seven groups: a control group, a model group, WR-2721 group, Lentinan & cytokine group, WR-2721 & Lentinan group, WR-2721 & cytokine group and WR-2721 & Lentinan & cytokine group. All groups except the control group were irradiated with ⁶⁰Co γ-rays at a dose rate of 0.8 Gy/min and a cumulative dose of 5.0 Gy. The mice were sacrificed by cervical dislocation 14 d after irradiation to measure their spleen index, thymus index, and serum levels of superoxide dismutase (SOD), malondialdehyde (MDA), interleukin-11 (IL-11), and tumor necrosis factor-alpha (TNF-α). Results For the mice treated with WR-2721, lentinan, and cytokines, the spleen index was 7.33 ± 2.84, the thymus index was 1.70 ± 0.30, the serum SOD level was 114.0 ± 8.3, the MDA level was 7.33 ± 1.16, the IL-11 level was 155.8 ± 49.4, and the TNF-α level was 174.0 ± 37.8. All these indicators except the spleen index in the combination group significantly differed from those of the model group (P < 0.05 or 0.01), indicating the combined treatment promoted recovery from radiation damage. Conclusion WR-2721 combined with lentinan and cytokines has significant synergistic protective effects, which is a promising treatment for acute radiation injury.

Objective:To evaluate the shoulder arthroscopic treatment of avulsion fracture of humeral greater tuberosity with double-row suture bridge.Methods:Retrospectively analyzed were the 13 avulsion fractures of humeral greater tuberosity which had been treated by shoulder arthroscopic double-row suture bridge at Bone and Joint Department, Guangzhou Liwan District Orthopedic Hospital from March, 2018 to March, 2020. There were 6 males and 7 females, with an average ages of 52.3 years (from 35 to 69 years). According to the Mutch classification, all the fractures of humeral greater tuberosity were attributed to the avulsion type. Of them, 3 were simple avulsion fractures of humeral greater tuberosity and 10 were complicated with shoulder anterior dislocation which was reduced manually before operation. There were 3 obsolete avulsion fractures of humeral greater tuberosity. Regular clinic and X-ray follow-ups were carried out. At the final follow-up, the pain, range of motion (ROM) and stability of the shoulder joint were assessed using visual analogue scale (VAS), American shoulder elbow scores (ASES), and Korean shoulder scores (KSS).Results:All the patients were followed up for an average of 12.3 months (from 10 to 16 months) postoperatively. No infection or shoulder instability was observed. At the final follow-up, the abduction and elevation averaged 164.6° (from 135° to 180°), the lateral external rotation 62.7° (from 40° to 80°), the internal rotation touch back test T10 level (from L2 to T6), the VAS 0.65 (from 0 to 2.5), the ASES 90.5 (from 78 to 100), and the KSS 91.5 (from 84 to 100).Conclusion:Shoulder arthroscopic treatment of avulsion fracture of humeral greater tuberosity with double-row suture bridge is minimally invasive and allows for repair of combined injury, leading to quick postoperative recovery.

Objective:To investigate the risk factors of gout and establish a columnar graph model to predict the risk of gout development.Methods:A total of 1 032 Han Chinese men attending the Affiliated Hospital of Traditional Chinese Medicine of Xinjiang Medical University, People′s Hospital of Xinjiang Uygur Autonomous Region, and the First Affiliated Hospital of Xinjiang Medical University from 2018 to 2020 were selected as study subjects and divided into training set(722 cases)and validation set(310 cases)by simple random sampling method in the ratio of 7∶3. General information and biochemical indices of the subjects were collected. The collected information was used to assess the risk of gout prevalence. LASSO regression analysis of R Studio software was used to screen the best predictors, and was introduced to construct a column line graph model for predicting gout risk using receiver operating characteristic(ROC)curves, and the Hosmer-Lemeshow test was used to assess the discrimination and calibration of the column line graph model. Finally, decision curve analysis(DCA)was performed using the rmda program package to assess the clinical utility of the model in validation data.Results:Age, uric acid, body mass index, total cholesterol, and waist-to-hip ratio were risk factors for gout( P<0.05). The column line graph prediction model based on the above five independent risk factors had good discrimination(AUC value: 0.923 for training set validation and 0.922 for validation set validation)and accuracy(Hosmer-Lemeshow test: P>0.05 for validation set validation); decision curve analysis showed that the prediction model curve had clinical practical value. Conclusion:The nomogram model established by combining age, uric acid, body mass index, total cholesterol, and waist-to-hip ratio indicators can predict the risk of gout more accurately.

Objective:To explore the effect of triglyceride glucose(TyG) index, single nucleotide polymorphism of Toll-like receptor 4(TLR4) and NOD-like receptor thermal protein domain associated protein 3(NLRP3) genes, and its interaction on the risk of gout.Methods:A total of 315 male patients with gout and 499 men for health checkup at the same period were selected. General data were collected through questionnaires, and peripheral venous blood was collected for biochemical test. Three single nucleotide polymorphisms(SNPs) of NLRP3 and TLR4 were detected with multiplex ligase assay reaction, and logistic regression analysis was applied to compare the correlation between NLRP3 and TLR4 alleles and gout risk. The interaction of SNP and TyG index with gout was analyzed by generalized multi-factor dimensionality reduction(GMDR) model and logistic regression.Results:After adjusting for smoking, drinking, and other factors, the risk of gout increased by 61.1% for each standard deviation increase in TyG index. CC genotypes of rs10754558, rs10759932, and rs7525979 were high risk genotypes of gout in Han ethnicity. GMDR results showed significant differences in the interaction models of rs10754558-TyG index, rs7525979-TyG index, and rs10759932-TyG index between control group and gout group( P<0.05), suggesting an interaction between the three genotypes of SNPs selected and TyG index. Stratified analysis of the three selected SNPs and TyG index showed that after adjusting for age, smoking, and other factors, the high TyG index patients carrying C/C or C/G genotype at rs10754558 displayed an increased risk of gout compared with those carrying GG genotype and low TyG index( OR=2.127, P<0.05). Conclusion:The CC genotypes of rs10754558, rs10759932, and rs7525979 are high risk genotypes for gout in Han ethnicity. The interaction between rs10754558 and TyG index may increase the risk of gout development.

Objective: Although some studies have linked Asari Radix et Rhizoma (Asari Radix) administration to hepatocellular carcinoma (HCC), few studies have examined the association between the development of HCC and use of Asari Radix among patients in mainland China. This study aimed to evaluate the real-world association between Asari Radix and HCC in patients to strengthen the understanding of Asari Radix safety. Methods: A retrospective cohort study among hepatitis B virus (HBV)-monoinfected patients and non-HBV-monoinfected patients were performed. Patients over 18 years of age were eligible for inclusion. Prescription records of inpatients and outpatients were inquired to distinguish Asari Radix users and nonusers. The risk of developing HCC among Asari Radix users and nonusers in the HBV cohort and the non-HBV cohort was analyzed. Results: There were 49 500 HBV and 133 148 non-HBV patients involved in the two cohorts. Among HBV patients (2 901 users; 46 599 nonusers), the prevalence of HCC in Asari Radix users was lower than that in nonusers (145.70 vs. 265.43 per 10

Objective:To explore the airway pathogen characteristics and examine the correlation between donor-derived pathogens and post-transplant outcomes in patients after lung transplantation (LT).Methods:Between January 1, 2015 and December 31, 2019, retrospective review was conducted for clinical and microbiological data of 88 LT recipients.Airway pathogen percentage of different microorganisms and evolution of drug-resistance were examined.Drug-resistant pathogen positive group (n=71) and negative group (n=17) were assigned according to whether or not drug-resistant pathogens were detected.Survival analysis was conducted by Log-rank with 3-year follow-ups.Between April 11, 2020 and September 5, 2020, prospective study was conducted in 14LT recipients.The potential pathogenic bacteria from donor lungs were detected by metagenomic next generation sequencing and the impact of those bacteria was examined on 1-year post-transplantation outcome in 2020.Microbial diversity and richness were shown with Shannon index.The outcome variables included heart rate, neutrophil count, lymphocyte count, immunoglobulin level and pulmonary spirometry.ANOVA and Pearson's correlation analysis were performed for elucidating the relationship between airway microbiota and post-LT outcomes.Results:From 2015 to 2019, 88 recipients were recruited and 992 strains of airway pathogens were isolated, including bacteria 796 strains and fungi 196 strains.Gram-negative bacteria (704 strains) accounted for 88.4% of all bacteria.The detection rates of Gram-positive bacteria, Klebsiella pneumonia (Kp), Acinetobacter baumannii (Ab), Stenotrophomonas maltophilia and Candida increased in 2019 than that in 2015 (8.2% vs. 5.3%, 13.6% vs. 13.2%, 33.2% vs. 17.5%, 6.5% vs. 5.3%, 26.6% vs. 20.2%). Drug resistance rate of Kp to imipenem was 68.18% in 2019 and drug resistance rate of Ab to imipenem 98.44%.The 3-year survival rate was 46.3% and 35.3% in drug-resistance positive and negative groups and the difference was insignificant ( P=0.410). Fourteen recipients were enrolled in 2020.Potential pathogenic bacteria could be detected in all donor samples.Five recipients carried the same bacteria and two died during 1-year follow-up.Nine recipients did not carry the donor-derived pathogens and two died during 1-year follow-up.The diversity of donor/recipient-derived airway microbiota (Shannon index) showed no correlation with the outcomes of 1-year follow-up by Pearson's correlation test. Conclusions:Gram-negative bacteria predominated in airway pathogens of recipients post-LT.The drug resistance rate to imipenem remained high.The donor/recipient-derived pathogen isolates showed no correlation with immediate outcomes post-LT.