Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Microbial communities such as those residing in the human gut are highly diverse and complex, and many with important implications for health and diseases. The effects and functions of these microbial communities are determined not only by their species compositions and diversities but also by the dynamic intra- and inter-cellular states at the transcriptional level. Powerful and scalable technologies capable of acquiring single-microbe-resolution RNA sequencing information in order to achieve a comprehensive understanding of complex microbial communities together with their hosts are therefore utterly needed. Here we report the development and utilization of a droplet-based smRNA-seq (single-microbe RNA sequencing) method capable of identifying large species varieties in human samples, which we name smRandom-seq2. Together with a triple-module computational pipeline designed for the bacteria and bacteriophage sequencing data by smRandom-seq2 in four human gut samples, we established a single-cell level bacterial transcriptional landscape of human gut microbiome, which included 29,742 single microbes and 329 unique species. Distinct adaptive response states among species in Prevotella and Roseburia genera and intrinsic adaptive strategy heterogeneity in Phascolarctobacterium succinatutens were uncovered. Additionally, we identified hundreds of novel host-phage transcriptional activity associations in the human gut microbiome. Our results indicated that smRandom-seq2 is a high-throughput and high-resolution smRNA-seq technique that is highly adaptable to complex microbial communities in real-world situations and promises new perspectives in the understanding of human microbiomes.
Humans ; Gastrointestinal Microbiome/genetics* ; Bacteriophages/physiology* ; High-Throughput Nucleotide Sequencing ; Sequence Analysis, RNA/methods* ; Bacteria/virology*

Objective:To explore the construction of an evaluation model for aortic root anatomy and calcium burden in patients with bicuspid aortic valve (BAV) stenosis before transcatheter aortic valve replacement (TAVR) based on deep learning (DL) algorithms.Methods:A retrospective collection of 362 BAV stenosis patients who underwent TAVR from September 2023 to May 2024 was performed. All patients underwent cardiac CT angiography. The patients were divided into training group ( n=104), internal validation group ( n=206), and external validation group ( n=52). A DL model was trained on the training dataset to assess aortic root anatomy and calcification burden. The evaluation included the segmentation accuracy of the algorithm, the measurement performance of key anatomical structures (i.e., valve leaflets and type-1 and type-2 fusion raphe), and calcification burden, as well as the measurement efficiency. Overall segmentation performance was assessed using the average Dice coefficient (ADC). The fine-scale segmentation quality was validated by the 95th-percentile Hausdorff distance (HD-95) and the average symmetric surface distance (ASSD). The consistency of the measurement results was assessed using the Pearson correlation coefficient and the intraclass correlation coefficient ( ICC) with a two-way mixed model for absolute agreement. In addition, the total time and total mouse movement distance required for manual assessment versus the DL model on the validation datasets were recorded and compared. Results:The algorithm demonstrated excellent segmentation performance on aortic root anatomical targets, achieving outstanding consistency within both internal and external validation datasets (0.955

Objective To analyze the sensitivity of ARHGAP8 in predicting the efficacy of neoadjuvant chemotherapy in the patients with locally advanced mid-low colorectal cancer and provide accurate evidence for the treatment of advanced colorectal cancer.Methods The differentially expressed gene ARHGAP8 was screened out by bioinformatics analysis.Cancer tissue and rectal tissue of 68 patients with primary rectal cancer were select-ed.The rectal cancer tissue samples and the rectal tissue samples were collected for clinical validation of ARH-GAP8 expression by quantitative real-time PCR,Western blotting,and immunohistochemistry.The clinical and pathological features such as gender,age,tumor stage,differentiation degree,and pathological type of the pa-tients were collected for functional validation.Forty-four patients with locally advanced mid-low rectal cancer who received neoadjuvant chemotherapy were selected for immunohistochemical examination of ARHGAP8 expres-sion.The expression level of ARHGAP8 was compared between before and after chemotherapy and among different efficacy groups.Results The bioinformatics analysis revealed differences in the expression level of ARHGAP8 between the cancer tissue and rectal tissue(P＜0.001).The expression level of ARHGAP8 was correlated with tumor stage(P=0.024),lymph node metastasis(P=0.007),and age(P=0.005).Quantitative real-time PCR results showed that the mRNA level of ARHGAP8 in the cancer tissue was higher than that in the rectal tis-sue(P＜0.001).Western blotting and immunohistochemistry results demonstrated that the protein level of ARH-GAP8 in the cancer tissue was higher than that in the rectal tissue(P=0.011).The expression of ARHGAP8 was correlated with tumor size(P=0.010)and pathological stage(P=0.005),while it showed no significant association with tumor differentiation degree,lymph node metastasis,liver metastasis,Ki-67,or microsatellite instability expression level.The 44 patients receiving neoadjuvant chemotherapy included 13,8,8,and 15 pa-tients of tumor regression grades 0,1,2,and 3,respectively.Among them,65.91％(29/44)patients showed responses to the treatment.After neoadjuvant chemotherapy,the expression of ARHGAP8 in the cancer tissue was down-regulated in the patients who responded to the chemotherapy(P＜0.001).The response rate in the patients with low protein level of ARHGAP8 was 92.86％,which was higher than that(53.33％)in the patients with high pro-tein level of ARHGAP8(P=0.033).Conclusions ARHGAP8 is highly expressed in the rectal cancer tissue.The pa-tients with locally advanced mid-low rectal cancer and low ARHGAP8 expression are more sensitive to neoadjuvant chemotherapy with the XELOX protocol.ARHGAP8 can serve as a potential biomarker for the occurrence and develop-ment of rectal cancer and an important index for evaluating the efficacy of neoadjuvant chemotherapy with the XELOX protocol in the patients with locally advanced mid-low rectal cancer.

Thyroid cancer is the most common malignant tumor of the head and neck, among which papillary thyroid carcinoma is the most common. Papillary thyroid carcinoma with a diameter of ≤ 1.0 cm is called thyroid micropapillary carcinoma. In recent years, thermal ablation technology for the treatment of thyroid micropapillary carcinoma has developed rapidly at home and abroad. At present, many guidelines, consensus and clinical studies related to thermal ablation treatment of thyroid micropapillary carcinoma have been published at home and abroad. Based on the existing literature, guidelines and clinical studies, this article summarizes, discusses and analyzes the advantages, indications, efficacy, safety, and existing problems of thermal ablation therapy for thyroid cancer.

ObjectiveTo explore the underlying mechanism by which the Chinese medicine compound Yitangkang granule（YTK） treats diabetic kidney disease （DKD） by observing its effects on podocyte autophagy through the regulation of phosphatidylinositol 3-kinase （PI3K）/protein kinase B （Akt）/forkhead transcription factor O1 （FoxO1） signaling pathway mediated by silent information regulator 1 （SIRT1） via advanced glycation end products （AGE）/receptor for AGE （RAGE） axis. MethodNinety-six 8-week-old healthy male SPF-grade Wistar rats were selected and randomly divided into blank control group （B）， model control group， high-dose YTK （40 g·kg^-1）， medium-dose YTK （20 g·kg^-1）， low-dose YTK （10 g·kg^-1）， and Western medicine control （20 mg·kg^-1 losartan） groups. The DKD rat model was established by high-fat diet feeding combined with intraperitoneal injection of streptozotocin. After successful modeling， the rats in each group received the corresponding treatments for eight weeks. The levels of superoxide dismutase （SOD）， malondialdehyde （MDA）， glutathione peroxidase （GSH-Px）， and catalase （CAT） were measured according to the instructions of the respective assay kits. Hematoxylin and eosin （HE） staining was used to observe pathological changes in kidney tissues. Immunohistochemistry was employed to detect the average optical density values of α-smooth muscle actin （α-SMA）， fibronectin （FN）， desmin， and nephrin. Western blot analysis was used to measure the expression levels of PI3K， phosphorylated PI3K （p-PI3K）， Akt， phosphorylated Akt （p-Akt）， RAGE， SIRT1， Caspase-3， and FoxO1 proteins in kidney tissues of DKD rats. ResultCompared with the blank control group， the model group showed significantly lower levels of SOD， GSH-Px， and CAT， and significantly higher levels of MDA （P<0.01）. The rats exhibited severe kidney damage. The positive expression of podocyte marker proteins α-SMA， FN， and desmin increased significantly， while nephrin and podocin significantly decreased （P<0.01）. The expression levels of PI3K， p-PI3K， Akt， p-Akt， RAGE， and Caspase-3 proteins were significantly elevated， while SIRT1 and FoxO1 protein levels were significantly reduced （P<0.01）. Compared with the model control group， rats in the YTK treatment groups showed significantly higher levels of SOD， GSH-Px， and CAT， and significantly lower levels of MDA in serum （P<0.01）. The degree of kidney damage was reduced to varying extents. The average optical density values of podocyte marker proteins α-SMA， FN， and desmin were significantly decreased， while nephrin and podocin significantly increased （P<0.01）. The expression levels of PI3K， p-PI3K， Akt， p-Akt， RAGE， and Caspase-3 in kidney tissues were significantly reduced， while SIRT1 and FoxO1 expression levels significantly increased （P<0.01）. The Chinese medicine groups demonstrated a clear dose-response trend. ConclusionYTK may alleviate kidney pathological damage， reduce proteinuria， and protect kidney function in DKD rats， thereby delaying the progression of DKD by improving podocyte autophagy through the AGE-RAGE axis-mediated SIRT1 regulation of the PI3K/Akt/FoxO1 signaling pathway. Additionally， a dose-response relationship was observed in the Chinese medicine groups.

During coronavirus disease 2019 epidemic, the treatment of severe trauma has been impacted. The Consensus on emergency surgery and infection prevention and control for severe trauma patients with 2019 novel corona virus pneumonia was published online on February 12, 2020, providing a strong guidance for the emergency treatment of severe trauma and the self-protection of medical staffs in the early stage of the epidemic. With the Joint Prevention and Control Mechanism of the State Council renaming "novel coronavirus pneumonia" to "novel coronavirus infection" and the infection being managed with measures against class B infectious diseases since January 8, 2023, the consensus published in 2020 is no longer applicable to the emergency treatment of severe trauma in the new stage of epidemic prevention and control. In this context, led by the Chinese Traumatology Association, Chinese Trauma Surgeon Association, Trauma Medicine Branch of Chinese International Exchange and Promotive Association for Medical and Health Care, and Editorial Board of Chinese Journal of Traumatology, the Chinese expert consensus on emergency surgery for severe trauma and infection prevention during coronavirus disease 2019 epidemic ( version 2023) is formulated to ensure the effectiveness and safety in the treatment of severe trauma in the new stage. Based on the policy of the Joint Prevention and Control Mechanism of the State Council and by using evidence-based medical evidence as well as Delphi expert consultation and voting, 16 recommendations are put forward from the four aspects of the related definitions, infection prevention, preoperative assessment and preparation, emergency operation and postoperative management, hoping to provide a reference for severe trauma care in the new stage of the epidemic prevention and control.

OBJECTIVE:To study the preparation,quality control,pharmacodynamics and toxicology of Houyanqingshui honeyed pills(HHP).METHODS:The content of glycyrrhizic acid in HHP was determined with HPLC;the anti-inflammato?ry,analgesic and expectorant actions of this preparation and the acute and long-term toxicity were observed.RESULTS:The linear range of glycyrrhizic acid in HHP was0.0384～0.615mg/ml.The recovery was(99.20?1.75)%.The preparation had anti-inflammatory,analgesic and expectorant actions and to obvious acute and long-term toxicity was found.CONCLUSION:HHP is simple in preparation technic,controllable in quality,reliable in therapeutic effect and safe in use.