Objective To investigate the role and potential mechanism of secreted phosphoprotein 1 (SPP1)⁺ macrophages in the formation of chronic renal allograft fibrosis. Methods The expression features of SPP1⁺ macrophages in renal allografts of chronic allograft dysfunction (CAD) patients were analyzed based on single-cell transcriptome data of renal tissues from patients with CAD. Transcription factor VIPER analysis and DoRothEA transcription factor activity analysis were performed on the single-cell transcriptome data. Renal tissue samples were collected from kidney transplant recipients, including the CAD group (n=5) and the non-renal allograft fibrosis group (CTL group, n=5). A mouse model of chronic allograft rejection was established and divided into the allogeneic kidney transplantation group (CAD group, n=3) and the syngeneic kidney transplantation group (SYN group, n=3). Hematoxylin-eosin staining was used to detect renal tissue injury in mice, and Masson staining was used to detect renal tissue fibrosis. Immunofluorescence staining was performed to detect SPP1 expression in renal tissues of transplant recipients and mouse renal allografts. Bone marrow-derived macrophages (BMDMs) were extracted from mice and subjected to hypoxia stimulation. The expression of hypoxia-inducible factor (HIF)-1α and SPP1 was detected by Western blot, and SPP1 expression was detected by flow cytometry. BMDMs were transfected with HIF-1α overexpression plasmid and HIF-1α small interfering RNA (siRNA) followed by hypoxia intervention, and the expression of HIF-1α and SPP1 was detected by Western blot. Mouse aortic endothelial cells (MAECs) were co-cultured with the supernatant of BMDMs, and the expression of endothelial-mesenchymal transition (EndMT)-related markers was detected by Western blot and immunofluorescence. Results Single-cell transcriptome analysis showed that the proportion of SPP1⁺ macrophages in renal allograft tissues was significantly higher in the CAD group than in the CTL group (P<0.05). The renal injury score and the percentage of interstitial fibrotic area in the CAD group were significantly higher than those in the SYN group (both P<0.05). Immunofluorescence staining showed that the proportion of SPP1⁺ macrophages was increased in the CAD group compared with the CTL group, and also increased in the CAD group compared with the SYN group (both P<0.05). VIPER analysis and DoRothEA transcription factor activity analysis revealed activation of the hypoxia pathway and upregulated expression of transcription factors such as HIF-1α in SPP1⁺ macrophages. SPP1 expression was elevated in BMDMs under hypoxic conditions. Knockdown of HIF-1α inhibited hypoxia-induced SPP1 protein expression, whereas overexpression of HIF-1α upregulated SPP1 protein levels. After co-culture of hypoxia-induced BMDMs with MAECs, the expression levels of EndMT-related markers were increased. Conclusions SPP1⁺ macrophages differentiated under hypoxia are significantly infiltrated in the formation of chronic renal allograft fibrosis, and may promote renal allograft fibrosis by inducing EndMT in renal vascular endothelial cells.

Objective:To explore McGregor′s patch surface anatomy parameters and correlation with demographic characteristics.Methods:A retrospective analysis of 134 volunteers [33 males and 101 females, aged (32.9±13.4) years], screened from the hospital information system of Zhejiang Provincial People′s Hospital via a random formula in excel. All subjects were divided into young group (18-40 years) and elderly group (>40 years) according to age; thin group [body mass index (BMI) <18.5 kg/m 2], moderate group (BMI 18.5-24.0 kg/m 2), and obese group (BMI >24.0 kg/m 2) according to BMI. Subjects were photographed under the same standard circumstances, and the rate of McGregor′s patch and its correlation with demographic characteristics were analyzed. The surface anatomy parameters of the McGregor′s patch were also measured. The relationship between associated ligamentous structures and the McGregor′s patch was investigated by fine dissection. Results:The rate of McGregor′s patch was 46.3% (62/134). The rate of McGregor′s patch was 39.4% (13/33) in males and 48.5% (49/101) in females, with no statistically significant difference ( P=0.362). The prevalence of McGregor′s patch was 48.9% (45/92) in the young group and 40.5% (17/42) in the elderly group, with no statistically significant difference ( P=0.364). The prevalence of McGregor′s patch was 51.4% (19/37) in the thin group, 45.9% (34/74) in the moderate group, and 39.1% (9/23) in the obese group, with no statistically significant difference ( P=0.651). The center of the McGregor′s patch was at a distance of (5.7±0.3) cm from the point of the lateral canthal point and (5.1±0.3) cm from the tragion. A detailed autopsy revealed that the zygomatic arch ligament and the occlusal cutaneous ligament appeared at a constant level above and on the deep side of this depression, and the two ligaments had their termination points in the dermis in the area of the depression. Conclusions:The center of the McGregor's patch is（5.7±0.3）cm from lateral canthal point and（5.1±0.3）cm from the tragion. There is no correlation between the rate of McGregor's patch and age or BMI.

Objective To analyze the prescription patterns of Professor Chen Bin in treating chronic superficial gastritis(CSG)with data mining methods.Methods Prescription data from effective medical records of outpatients with CSG treated by Professor Chen Bin at the First Affiliated Hospital of Guangzhou University of Chinese Medicine from October of 2022 to April of 2023 were collected.R language,SPSS,and IBM SPSS Modeler were used to perform frequency statistics,association rule analysis,and systematic cluster analysis on the prescription data,and then the medication and prescription patterns of Professor Chen Bin in treating CSG were explored.Results A total of 64 outpatient prescriptions formulated by Professor Chen Bin were included,involving 95 Chinese herbal medicines.The top 10 frequently-used herbs were Glycyrrhizae Radix et Rhizoma Praeparata cum Melle(Zhigancao),Bupleuri Radix(Chaihu),Pinelliae Rhizoma Praeparatum(Fabanxia),Jujubae Fructus(Dazao),Zingiberis Rhizoma(Ganjiang),Codonopsis Radix(Dangshen),Scutellariae Radix(Huangqin),Paederiae Herba(Jishiteng),Citri Reticulatae Pericarpium(Chenpi),and Taraxaci Herba(Pugongying).Most of the herbs were warm,cold,and mild in nature,and were sweet in flavor.And the herbs mainly had the meridian tropism of spleen,stomach,and liver meridians,and had the primary therapeutic effects of strengthening the spleen and replenishing qi,regulating qi,and resolving dampness.Based on the results of association rule analysis,a total of 21 core herb combinations were screened out,and cluster analysis yielded 4 clustered prescriptions.Combining the results of high-frequency herb statistics and cluster analysis and based on the traditional Chinese medicine theory,the core herbs for treating CSG was identified as Zhigancao,Chaihu,Fabanxia,Dazao,Ganjiang,Dangshen,Huangqin,Jishiteng,Chenpi,and Pugongying.Conclusion In treating CSG,Professor Chen Bin adheres to the treatment principle of replenishing qi and regulating the pivot,and the therapeutic methods of regulating qi movement,strengthening the spleen and harmonizing the stomach are applied with Xiaochaihu Decoction as the fundamental prescriptions.His view of treatment by focusing on the spleen and stomach,emphasizing the combination of herbs with cold and warm properties and based on syndrome differentiation will provide a reference for the clinical application of traditional Chinese medicine in treating CSG.

In recent years, hybrid brain-computer interfaces (BCIs) have gained significant attention due to their demonstrated advantages in increasing the number of targets and enhancing robustness of the systems. However, Existing studies usually construct BCI systems using intense auditory stimulation and strong central visual stimulation, which lead to poor user experience and indicate a need for improving system comfort. Studies have proved that the use of peripheral visual stimulation and lower intensity of auditory stimulation can effectively boost the user's comfort. Therefore, this study used high-frequency peripheral visual stimulation and 40-dB weak auditory stimulation to elicit steady-state visual evoked potential (SSVEP) and auditory steady-state response (ASSR) signals, building a high-comfort hybrid BCI based on weak audio-visual evoked responses. This system coded 40 targets via 20 high-frequency visual stimulation frequencies and two auditory stimulation frequencies, improving the coding efficiency of BCI systems. Results showed that the hybrid system's averaged classification accuracy was (78.00 ± 12.18) %, and the information transfer rate (ITR) could reached 27.47 bits/min. This study offers new ideas for the design of hybrid BCI paradigm based on imperceptible stimulation.
Brain-Computer Interfaces ; Humans ; Evoked Potentials, Visual/physiology* ; Acoustic Stimulation ; Photic Stimulation ; Electroencephalography ; Evoked Potentials, Auditory/physiology* ; Adult

Objective To develop and validate an automated organoid image segmentation approach based on deep learning for addressing the issues of high misidentification rate,blurred boundary and poor generalization in current organoid segmentation,thereby facilitating researchers to monitor and analyze organoid growth more efficiently.Methods The wavelet scattering coefficient matrix and capsule convolution module were integrated into the U-Net architecture to construct the organoid image segmentation model OrgCapsU-Net which was trained and evaluated on 3 organoid image datasets from different tissue sources.Results Compared with current mainstream segmentation algorithms,OrgCapsU-Net could better distinguish organoid and impurity,and lead to smoother segmentation boundaries,achieving superior performance across 4 evaluation metrics on 3 datasets.Conclusion OrgCapsU-Net delivers excellent segmentation performance and can be applied to organoids from various tissue sources,showing strong potential for applications in the in vitro model establishment,high-throughput drug screening,and personalized medicine.

Objective To develop and validate an automated organoid image segmentation approach based on deep learning for addressing the issues of high misidentification rate,blurred boundary and poor generalization in current organoid segmentation,thereby facilitating researchers to monitor and analyze organoid growth more efficiently.Methods The wavelet scattering coefficient matrix and capsule convolution module were integrated into the U-Net architecture to construct the organoid image segmentation model OrgCapsU-Net which was trained and evaluated on 3 organoid image datasets from different tissue sources.Results Compared with current mainstream segmentation algorithms,OrgCapsU-Net could better distinguish organoid and impurity,and lead to smoother segmentation boundaries,achieving superior performance across 4 evaluation metrics on 3 datasets.Conclusion OrgCapsU-Net delivers excellent segmentation performance and can be applied to organoids from various tissue sources,showing strong potential for applications in the in vitro model establishment,high-throughput drug screening,and personalized medicine.

Objective:To explore McGregor′s patch surface anatomy parameters and correlation with demographic characteristics.Methods:A retrospective analysis of 134 volunteers [33 males and 101 females, aged (32.9±13.4) years], screened from the hospital information system of Zhejiang Provincial People′s Hospital via a random formula in excel. All subjects were divided into young group (18-40 years) and elderly group (>40 years) according to age; thin group [body mass index (BMI) <18.5 kg/m 2], moderate group (BMI 18.5-24.0 kg/m 2), and obese group (BMI >24.0 kg/m 2) according to BMI. Subjects were photographed under the same standard circumstances, and the rate of McGregor′s patch and its correlation with demographic characteristics were analyzed. The surface anatomy parameters of the McGregor′s patch were also measured. The relationship between associated ligamentous structures and the McGregor′s patch was investigated by fine dissection. Results:The rate of McGregor′s patch was 46.3% (62/134). The rate of McGregor′s patch was 39.4% (13/33) in males and 48.5% (49/101) in females, with no statistically significant difference ( P=0.362). The prevalence of McGregor′s patch was 48.9% (45/92) in the young group and 40.5% (17/42) in the elderly group, with no statistically significant difference ( P=0.364). The prevalence of McGregor′s patch was 51.4% (19/37) in the thin group, 45.9% (34/74) in the moderate group, and 39.1% (9/23) in the obese group, with no statistically significant difference ( P=0.651). The center of the McGregor′s patch was at a distance of (5.7±0.3) cm from the point of the lateral canthal point and (5.1±0.3) cm from the tragion. A detailed autopsy revealed that the zygomatic arch ligament and the occlusal cutaneous ligament appeared at a constant level above and on the deep side of this depression, and the two ligaments had their termination points in the dermis in the area of the depression. Conclusions:The center of the McGregor's patch is（5.7±0.3）cm from lateral canthal point and（5.1±0.3）cm from the tragion. There is no correlation between the rate of McGregor's patch and age or BMI.

Objective:To study the complete genome characterization of Human Astrovirus (HAstV) in Shandong Province.Methods:Stool samples from acute flaccid paralysis (AFP) surveillance in Shandong Province from 2020 to 2022 were collected, and HAstV nucleic acid was examined by real-time quantitative PCR (qPCR). Next-generation sequencing (NGS) was conducted for the positive samples to obtain complete genome sequences and identify the genotype. Homology comparison and phylogenetic analysis were performed by using BioEdit and Mega software.Results:A total of 667 samples were examined by qPCR, of which 14 were HAstV-positive (2.1%), including HAstV-1 ( n=6), MLB1 ( n=6), MLB2 ( n=1), and VA2 ( n=1). The complete genome sequences were obtained from 11 samples. The six HAstV-1 sequences of this study had 98.2% to 99.9% nt similarities with each other and 87.6% to 98.6% with those from other regions. The four MLB1 sequences of this study had 99.1% to 99.9% nt similarities with each other and 92.2% to 99.4% with those from other regions. The VA2 sequence of this study had 96.0% to 96.3% nt similarities with those from other regions. Phylogenetic analysis based on ORF2 region showed that the local HAstV-1 sequences were most closely related to Japanese strains, and had distinct topology with phylogenies based on ORF1a and ORF1b regions. Conclusion:The complete genome sequences of 11 HAstV strains are obtained, and the VA2 complete genome is found.

[Objective]To present Professor HE Ruoping's clinical experience in treating esophageal cancer.[Methods]Through the follow-up study,relevant medical cases were collected,organized and analyzed to describe the clinical experience of Professor HE Ruoping in the treatment of esophageal cancer in terms of the etiology and mechanism of the disease,and the rules and methods of treatment.A medical record was attached as evidence.[Results]Professor HE Ruoping believes that the pathogenic characteristic of esophageal cancer is a deficiency in origin and an enrichment in symptom.Deficiency in origin indicates weakness in Zang and Fu,while enrichment in symptom suggests there're Qi stagnation,phlegm,blood stasis and hot toxin."Strengthen healthy Qi,eliminate pathogens,and treat according to the symptoms"is the therapeutic approach used to treat esophageal cancer.The aim is to strengthen Zang and Fu,specifically the spleen,stomach and kidney.Treatments for anti-cancer mainly include moving Qi and dissipating mass,eliminating phlegm and removing blood stasis,clearing heat and toxin,etc.It emphasizes that the elimination of pathogenic factors should be carried out in an appropriate manner and should not hurt the body's positive Qi.Treating according to the symptoms means treating patients with various kinds of uncomfortable symptoms after surgery,radiotherapy and local stent placement to improve their quality of life.In the attached medical case,the above three principles were carried through the whole treatment process,and achieved good therapeutic effect.[Conclusion]By expounding the principle of"strengthen healthy Qi,eliminate pathogens and treat diseases according to the symptoms",it has summarized Professor HE Ruoping's clinical experience in the treatment of esophageal cancer,which is of some significance for the clinical treatment of this disease.

[Objective]To introduce Professor HE Ruofeng's clinical experience of treating uterine myoma with Liuwei Dihuang Pills.[Methods]Briefly discussing the meaning of Liuwei Dihuang Pills,summarizing Professor HE's understanding of the pathogenesis and treatment principles of uterine myoma and postoperative patients through learning from the master,compiling medical cases and clinical observation,and presenting case reports to support the conclusion.[Results]Professor HE believes that uterine myoma is a disease caused by dysfunction of the liver,kidney,spleen,abnormal Qi and blood,and deficiency of the body's resistance,with blood stasis accumulated in the uterus.Postoperative patients are weakened by surgery,and are prone to recurrence.Liuwei Dihuang Pills are used as the main treatment,aiming to nourish the kidneys and adrenals,regulate the liver and spleen,and break down blood and tumors.Emphasis is also placed on the psychological factors.The case report showed that Professor HE diagnosed the patient with liver and kidney deficiency and treated her with Liuwei Dihuang Pills modification,achieving good results.[Conclusion]Professor HE's use of Liuwei Dihuang Pills for postoperative uterine myoma patients provides a reference for the integration of traditional Chinese and western medicine,and has clinical value.