ObjectiveTo investigate the effect and mechanism of Polygonatum neutral polysaccharides from sibiricum （PSP-NP） on colon injury in mice with chronic obstructive pulmonary disease （COPD）. MethodsMale C57BL/6J mice were randomly divided into a control group， a COPD model group， and a PSP-NP group. The COPD model was established using smoke exposure combined with intranasal LPS administration. The PSP-NP group was simultaneously treated daily with 200 mg/kg of PSP-NP via intragastric gavage， while the other groups received an equal volume of saline. HE staining was used to observe the pathological changes in the colon. ELISA was employed to detect the levels of LPS in serum and the expressions of ZO-1， Occludin， IL-6， and TNF-α in colon tissue. UPLC-MS was used to detect the types and contents of bile acids in colonic content， and to screen for differential bile acids. Differential microbial flora were identified using 16S rRNA gene sequencing， and correlation analysis was conducted with differential bile acids. PSP-NP was combined with the differential bile acids cholic acid （CA）， and deoxycholic acid （DCA） in vitro to analyze the binding capacity of PSP-NP for CA and DCA. PSP-NP was applied to NCM460 normal colonic epithelial cells cultured in CA and DCA. Cell migration ability was assessed using the scratch assay， and the mRNA expression levels of inflammatory cytokines TNF-α， IL-6， and NF-κB were measured by RT-qPCR. ResultsPSP-NP effectively improved colonic damage in COPD model mice， enhanced mechanical barrier function， alleviated inflammatory response， and regulated abnormal changes in colonic flora and bile acid metabolism. Correlation analysis further revealed that PSP-NP regulated colonic bile acid metabolism and reduced the redundancy of secondary bile acids by increasing the relative abundance of Bacteroidota， Verrucomicrobiota， Bacteroides， and Akkermansia， while decreasing the relative abundance of Lactobacillus and Bifidobacterium. Notably， in vitro binding assays demonstrated that PSP-NP bound to differential bile acids DCA and CA， with the strongest binding capacity for DCA at 58.2%. In cellular functional studies， DCA inhibited the migration ability of colonic epithelial cells NCM460 and significantly increased the relative mRNA expression levels of inflammatory factors TNF-α， IL-6， and NF-κB. Importantly， co-treatment with PSP-NP significantly ameliorated the impact of DCA on NCM460 cells. ConclusionsPSP-NP may significantly improve colonic damage in COPD model mice. The mechanism may involve the regulation of colonic bile acid metabolism and bile acid profiles through both microbial modulation and direct binding， thereby reducing the damage caused by secondary bile acids such as DCA to colonic epithelial cells.

Recent years have witnessed significant advancements in myopia control research through the application of diffuse optical technology(DOT)spectacle lenses. Myopia has emerged as a global public health challenge, affecting nearly half of the world's population, with childhood and adolescent myopia rates continuing to rise. DOT lenses represent an innovative myopia control intervention based on retinal contrast signal theory. These lenses incorporate micro-light scattering dots distributed across the lens surface to reduce retinal imaging contrast and modulate the influence of visual input on axial elongation, thereby slowing myopia progression. The core mechanism operates through refractive index differences between the lens substrate(1.53)and scattering dots(1.50), which generate optical scattering effects. This design maintains clear vision through a central 5 mm optical zone while effectively reducing contrast signal intensity in the peripheral retina. Large-scale randomized controlled trials, including the CYPRESS study, have demonstrated significant myopia control efficacy in children aged 6-10 years: 12-month follow-up data revealed a 74% reduction in myopia progression and a 50% reduction in axial elongation, with sustained safety and visual quality maintained over 4-year long-term follow-up. However, several aspects of DOT technology remain contentious and require further clinical validation, including its applicability across different age groups, optimal scattering dot density configurations, combined application effects with other myopia control methods, and long-term visual adaptation during extended use. This review systematically examines the theoretical foundations, design characteristics, clinical application progress, and future development directions of DOT technology, providing scientific evidence for clinical myopia prevention and control strategy formulation.

Objective To systematically evaluate the risk prediction models for anastomotic leakage (AL) in patients with esophageal cancer after surgery. Methods A computer-based search of PubMed, EMbase, Web of Science, Cochrane Library, Chinese Medical Journal Full-text Database, VIP, Wanfang, SinoMed and CNKI was conducted to collect studies on postoperative AL risk prediction model for esophageal cancer from their inception to October 1st, 2023. PROBAST tool was employed to evaluate the bias risk and applicability of the model, and Stata 15 software was utilized for meta-analysis. Results A total of 19 literatures were included covering 25 AL risk prediction models and 7373 patients. The area under the receiver operating characteristic curve (AUC) was 0.670-0.960. Among them, 23 prediction models had a good prediction performance (AUC>0.7); 13 models were tested for calibration of the model; 1 model was externally validated, and 10 models were internally validated. Meta-analysis showed that hypoproteinemia (OR=9.362), postoperative pulmonary complications (OR=7.427), poor incision healing (OR=5.330), anastomosis type (OR=2.965), preoperative history of thoracoabdominal surgery (OR=3.181), preoperative diabetes mellitus (OR=2.445), preoperative cardiovascular disease (OR=3.260), preoperative neoadjuvant therapy (OR=2.977), preoperative respiratory disease (OR=4.744), surgery method (OR=4.312), American Society of Anesthesiologists score (OR=2.424) were predictors for AL after esophageal cancer surgery. Conclusion At present, the prediction model of AL risk in patients with esophageal cancer after surgery is in the development stage, and the overall research quality needs to be improved.

Objective To observe the value of energy spectrum CT angiography(CTA)optimal single energy imaging combined with adaptive statistical iterative reconstruction V(ASIR-V)for optimizing visualization of thoracodorsal artery(TDA).Methods Energy spectrum CTA was prospectively performed in 60 patients to observe TDA.The images were reconstructed as 120 kVp-like combined with 40%post-set ASIR-V(group A),as well as totally 18 kinds of single energy images ranging from 45 to 70 keV(with interval of 5 keV)combined with 40%,60%and 80%post-set ASIR-V(group B),and the subjective and objective evaluation results of the images were compared between and within groups.Results Under the same post-set ASIR-V weight,significant differences of subjective scores of axial and 3D images were found among different keV levels(all P＜0.001).With the increase of keV level,subjective scores of axial images increased first and then decreased,among which subjective score of 50 keV was the highest(all P＜0.001).Under the same keV levels,with the increase of ASIR-V weight,the subjective scores of overall axial images and 3D images for displaying the main trunk of TDA,as well as contrast-to-noise ratio of axillary artery increased(all P＜0.01).Conclusion Performing CTA using 50 keV single energy imaging combined with 80%ASIR-V reconstruction could balance image contrast and noise better,hence improving visualization of TDA and its branches.

BACKGROUND: Sarcopenia is an age-related progressive skeletal muscle disorder involving the loss of muscle mass or strength and physiological function. Efficient and precise AI algorithms may play a significant role in the diagnosis of sarcopenia. In this study, we aimed to develop a machine learning model for sarcopenia diagnosis using clinical characteristics and laboratory indicators of aging cohorts. METHODS: We developed models of sarcopenia using the baseline data from the West China Health and Aging Trend (WCHAT) study. For external validation, we used the Xiamen Aging Trend (XMAT) cohort. We compared the support vector machine (SVM), random forest (RF), eXtreme Gradient Boosting (XGB), and Wide and Deep (W&D) models. The area under the receiver operating curve (AUC) and accuracy (ACC) were used to evaluate the diagnostic efficiency of the models. RESULTS: The WCHAT cohort, which included a total of 4057 participants for the training and testing datasets, and the XMAT cohort, which consisted of 553 participants for the external validation dataset, were enrolled in this study. Among the four models, W&D had the best performance (AUC = 0.916 ± 0.006, ACC = 0.882 ± 0.006), followed by SVM (AUC =0.907 ± 0.004, ACC = 0.877 ± 0.006), XGB (AUC = 0.877 ± 0.005, ACC = 0.868 ± 0.005), and RF (AUC = 0.843 ± 0.031, ACC = 0.836 ± 0.024) in the training dataset. Meanwhile, in the testing dataset, the diagnostic efficiency of the models from large to small was W&D (AUC = 0.881, ACC = 0.862), XGB (AUC = 0.858, ACC = 0.861), RF (AUC = 0.843, ACC = 0.836), and SVM (AUC = 0.829, ACC = 0.857). In the external validation dataset, the performance of W&D (AUC = 0.970, ACC = 0.911) was the best among the four models, followed by RF (AUC = 0.830, ACC = 0.769), SVM (AUC = 0.766, ACC = 0.738), and XGB (AUC = 0.722, ACC = 0.749). CONCLUSIONS: The W&D model not only had excellent diagnostic performance for sarcopenia but also showed good economic efficiency and timeliness. It could be widely used in primary health care institutions or developing areas with an aging population. TRIAL REGISTRATION Chictr.org, ChiCTR 1800018895.
Humans ; Aged ; Sarcopenia/diagnosis* ; Deep Learning ; Aging ; Algorithms ; Biomarkers

BackgroundInsomnia disorder has become a common disease in the current society. Cognitive Behavior Therapy for Insomnia （CBTI） is one of the non-drug treatment methods for insomnia disorder， but relevant studies of its effect on sleep quality and cognitive function of patients with insomnia disorder are limited. ObjectiveTo explore the effects of CBTI on sleep quality and cognitive function in patients with insomnia disorder， so as to provide references for non-drug treatment of insomnia disorder. MethodsA total of 47 patients with insomnia disorder were recruited as the study subjects. They all met the diagnostic criteria of the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5） and have visited Sichuan Mental Health Center from January 2021 to October 2022. The patients underwent CBTI for 6 weeks. Before the treatment， depression and anxiety symptoms were assessed using Hamilton Depression Scale-24 item （HAMD-24） and Hamilton Anxiety Scale （HAMA）. Sleep status and cognitive function were assessed using Pittsburgh Sleep Quality Index （PSQI） and Montreal Cognitive Assessment （MoCA） before and 6 weeks after the treatment. Spearman correlation analysis was used to examine the correlation between the reduction of PSQI score and the increase of MoCA score after treatment. ResultsAfter the 6-week treatment， the factor scores and total score of PSQI across 6 subscales （the sleep quality， sleep onset time， sleep time， sleep efficiency， sleep disorder and daytime dysfunction） were lower than those before the treatment， and the score differences were of statistical significance （t=5.569~15.290， P<0.01）. Both factor and total scores of MoCA across 6 items （visuospatial and executive， naming， attention， language， abstraction and memory） were significantly higher than those before the treatment with score differences reaching statistical significance （t=-11.273~-4.277， P<0.01）. Spearman correlation analysis demonstrated that there was a positive correlation between the decrease in PSQI total score and the increase in MoCA total score after the 6-week CBTI treatment （r=0.323， P=0.027）. ConclusionCBTI may help improve sleep quality and cognitive function in patients with insomnia disorders. The improvement of sleep quality after CBTI intervention may be related to the improvement of cognitive function. ［Funded by Scientific Research Project of Sichuan Provincial Health Commission （number， 19PJ216）］

Intra-abdominal infection is the second common infectious disease in intensive care unit and inhospital patients, with the mortality rate of 20%-30%. Advances in medicine have not improved the outcomes of patients with intra-abdominal infection, and the increasing multi-drug resistance organism may lead to a deterioration in the prognosis of patients with intra-abdominal infection. Gut microbiota dysbiosis and abdominal cavity infections show an interdependent and mutually aggravating relationship. Intestinal microecological preparations regulate gut flora and are potential therapeutic measures for intra-abdominal infections. The authors review the changes in gut flora during intra-abdominal infection, the effect of gut flora on the prognosis of intra-abdominal infections and the role of intestinal microecological preparations in intra-abdominal infections.

ObjectiveTo compare the effect of three kinds of intrinsic foot muscle exercise on flatfoot. MethodsFrom September to November, 2022, 45 subjects with flatfoot from Capital University of Physical Education and Sports were randomly divided into short foot exercise (SFE) group (n = 15), toe-spread-out exercise (TSOE) group (n = 15) and short foot & toe-spread-out exercise (SF+TSOE) group (n = 15), who received SFE, TSOE and SF+TSOE, respectively, for eight weeks. The cross-sectional area of abductor hallucis muscle, navicular drop test (NDT) and Chippaux-Smirak index (CSI) were measured before treatment, four weeks after treatment and eight weeks after treatment. ResultsThree subjects dropped out in each group. The main effect of time was significant for left and right cross-sectional area of abductor hallucis muscle, NDT and CSI (F > 13.906, P < 0.001). The main effect of group was not significant for left and right cross-sectional area of abductor hallucis muscle, NDT and CSI (F < 1.934, P > 0.05). The interaction effect of group and time was significant for left and right NDT (F > 3.044，P < 0.05), and it was better in SF+TSOE group than in SFE group and TSOE group (P < 0.05). ConclusionSF and TSOE can improve the cross-sectional area of abductor hallucis muscle and foot morphology in subjects with flatfoot, and the combination of them may be more effective.

This paper aims to analyze the clinical efficacy of cognitive behavioral therapy for insomnia （CBTI） in chronic insomnia treatment， with a view to providing a theoretical basis for promoting the clinical use of CBTI and providing a reference for the non-pharmacological treatment of chronic insomnia patients in China. Chronic insomnia is a common disorder， and CBTI has emerged as the first approach to treating chronic insomnia， so this review focuses on the current status， clinical efficacy， adverse effects， existed problems and management strategies of CBTI for chronic insomnia treatment from the perspectives of physiological mechanisms and neuroimaging.

OBJECTIVE: To explore the genetic etiology for a Chinese pedigree affected with Alazami syndrome. METHODS: Genomic DNA was extracted for 2 patients and 2 unaffected members from the pedigree. Whole exome sequencing was carried out to detect potential variant in the proband, and the result was verified by Sanger sequencing. RESULTS: The proband and her sister were both found to harbor compound heterozygous variants of LARP7 gene, namely c.94A>T (p.Lys32*) and c.1141A>G (p.Lys381Glu), which were inherited from their father and mother, respectively. Both variants were predicted to be pathogenic based on bioinformatic analysis. CONCLUSION The two variants of the LARP7 gene, both were unreported previously, probably underlay the Alazami syndrome in this pedigree. Above finding has expanded the mutational spectrum of the LARP7 gene.
China ; Dwarfism ; Female ; Humans ; Intellectual Disability/genetics* ; Mutation ; Pedigree ; Ribonucleoproteins/genetics* ; Exome Sequencing