In view of the few studies on the influence of Armillaria spp. infection on the content of the chemical components in different parts of Polyporus umbellatus sclerotia, this study determined the biomass of P. umbellatus sclerotia and the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in the separated cavity wall of the sclerotia and the uninfected part of the sclerotia in different harvesting years under the conditions of A. gallica and A. mellea infection respectively. According to the difference of content and dynamic changes of the polysaccharide and the steroid substances, the superior Armillaria sp. was screened to obtain the best harvest years of P. umbellatus. Using HPLC and UV-VIS spectrophotometry methods, the contents of ergosterol, polyporusterone A, polyporusterone B and polysaccharide in P. umbellatus sclerotia infected by the two Armillaria spp. in different years were determined. In addition, the differentially expressed genes related to P. umbellatus polysaccharide synthesis were screened according to the transcriptomic data of different parts of P. umbellatus after A. mellea infection. With the increase of years, the biomass of sclerotia infected by different Armillaria spp. had significant differences, and there were significant differences in the four components of sclerotia. The four components of the separated cavity wall of the sclerotia were significantly higher than those of the uninfected part. The best harvest time was the third year after cultivation. Transcriptomic analysis showed that the infection of Armillaria spp. could significantly promote polysaccharide synthesis, which provided a basis for polysaccharide content determination at the molecular level. The study clarified the influence of different Armillaria spp. infection on the accumulation of chemical components of P. umbellatus sclerotia, laying a foundation for exploring the symbiosis mechanism and provided a scientific clue for screening superior Armillaria sp. and guiding the artificial cultivation of P. umbellatus sclerotia.

Aim To screen and study the effects of Tao Hong Si Wu decoction(THSWD)-mediated treat-ment on circular RNA(circRNA)expression profiles in rats with middle cerebral artery occlusion(MCAO),and investigate the possible roles and molecular mecha-nisms of THSWD.Methods Next-generation RNA sequencing was conducted to identify circRNA expres-sion profiles in MCAO rats after treatment with THSWD and compared with the MCAO model group and control group.Bioinformatics analysis was performed to predict the potential target microRNAs and mRNAs.Gene On-tology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)pathway analyses for the potential target mRNAs were applied to explore the potential roles of differentially expressed circRNAs.RT-qPCR was performed to verify circRNAs with significant differences in expression.Results We identified 87 significantly differentially expressed circRNAs between the MCAO group versus the control group,and 86 sig-nificantly differentially expressed circRNAs between the MCAO group versus the THSWD group.respective-ly.Among them,17 circRNAs induced by the MCAO model were reversed via treatment with THSWD.To demonstrate the roles of mRNAs targeted by DECs,the GO and KEGG databases were used.Further analysis revealed that five circRNAs may play important roles in the development of MCAO.Conclusions The com-prehensive expression profile of circRNAs in rats with middle cerebral artery occlusion after THSWD treat-ment is determined for the first time,suggesting that the therapeutic effect of THSWD on MCAO may be a-chieved by regulating the expression of circRNAs.

The purpose of this study was to understand the prevalence of Neoehrlichia mikurensis in rodents in Yunnan commensal rodent plague foci.Lianghe Country,Mangshi City,and Mile City in Yunnan Province were chosen as sampling sites,where rodents were captured with dead-traps.The N.mikurensis groEL gene in rodent spleen samples was detected with nested PCR,and the positive products were sequenced with Sanger bidirectional assays.The infection rate of N.mikurensis a-mong plague foci,habitats,species,and sexes was compared with Chi-square tests or Fisher's exact probability method.Of 656 rodent spleen samples,12 N.mikurensis positive samples were detected in R.tanezumi,R.sladeni,N.confucianus,and B.bowersi.The positivity rate was 1.83％.No significant difference in the N.mikurensis positivity rate was observed a-mong plague foci,habitats,species,and sexes(P＞0.05).Genetic evolution analysis of the groEL gene indicated that the se-quence similarity of nucleic acid sequences in 12 positive samples was 99.5％-100％,and the nucleic acid sequences of N.mikurensis were in the same branch,belonging to cluster Ⅳ.Thus,four species of rodents were found to have low frequency infection with N.mikurensis in Yunnan commensal rodent plague foci.

Objective:To investigate the frequencies and subset distribution of peripheral helper(Tph)T cells in patients with immune thrombocytopenia(ITP),and explore the pathogenesis of ITP.Methods:A total of 25 newly diagnosed ITP patients treated in The Second Affiliated Hospital of Dalian Medical University from January to December 2022 were selected,and 25 healthy volunteers(age-and sex-matched)were recruited as the control group.Flow cytometry was used to detect the subsets of CD4+T cells and Tph cells.Results:The frequency of effector memory(CCR7-CD45RO+CD4+)T cells in ITP patients was significantly higher than that in healthy controls(P＜0.05).The frequency of Tph cells in ITP patients was also significantly higher than that in healthy controls(P＜0.001),and most of the Tph cells in ITP patients were effector memory T cells.Furthermore,the expressions of T-cell costimulatory molecules in Tph cells,including ICOS and CD84,were similar to those in follicular helper T(Tfh)cells.CXCR3-CCR6-Tph(Tph2)subgroup was dominant in Tph cells,but the frequency of CXCR3+CCR6-Tph(Tph1)cells in ITP patients was much higher than that in healthy controls(P＜0.05).Conclusion:Tph cells,especially Tph1 cells,were abnormally expanded in ITP patients,which may be a potential etiology of ITP.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Objective: This study aims to overcome challenges in lumbar spine imaging, particularly lumbar spinal stenosis, by developing an automated segmentation model using advanced techniques. Traditional manual measurement and lesion detection methods are limited by subjectivity and inefficiency. The objective is to create an accurate and automated segmentation model that identifies anatomical structures in lumbar spine magnetic resonance imaging scans. Methods: Leveraging a dataset of 539 lumbar spinal stenosis patients, the study utilizes the residual U-Net for semantic segmentation in sagittal and axial lumbar spine magnetic resonance images. The model, trained to recognize specific tissue categories, employs a geometry algorithm for anatomical structure quantification. Validation metrics, like Intersection over Union (IOU) and Dice coefficients, validate the residual U-Net’s segmentation accuracy. A novel rotation matrix approach is introduced for detecting bulging discs, assessing dural sac compression, and measuring yellow ligament thickness. Results: The residual U-Net achieves high precision in segmenting lumbar spine structures, with mean IOU values ranging from 0.82 to 0.93 across various tissue categories and views. The automated quantification system provides measurements for intervertebral disc dimensions, dural sac diameter, yellow ligament thickness, and disc hydration. Consistency between training and testing datasets assures the robustness of automated measurements. Conclusion Automated lumbar spine segmentation with residual U-Net and deep learning exhibits high precision in identifying anatomical structures, facilitating efficient quantification in lumbar spinal stenosis cases. The introduction of a rotation matrix enhances lesion detection, promising improved diagnostic accuracy, and supporting treatment decisions for lumbar spinal stenosis patients.

Aim To screen and study the expression of long non-coding RNA (IncRNA) in rats with middle cerebral artery occlusion (MCAO) with MCAO treated with Tao Hong Si Wu decoction (THSWD) and determine the possible molecular mechanism of THSWD in treating MCAO rats. Methods Three cerebral hemisphere tissue were obtained from the control group, MCAO group and MCAO + THSWD group. RNA sequencing technology was used to identify IncRNA gene expression in the three groups. THSWD-regulated IncRNA genes were identified, and then a THSWD-regu-lated IncRNA-mRNA network was constructed. MCODE plug-in units were used to identify the modules of IncRNA-mRNA networks. Gene ontology (GO) and kyoto encyclopedia of genes and genomes (KEGG) were used to analyze the enriched biological functions and signaling pathways. Cis- and trans-regulatory genes for THSWD-regulated IncRNAs were identified. Reverse transcription real-time quantitative pol-ymerase chain reaction (RT-qPCR) was used to verify IncRNAs. Molecular docking was used to identify IncRNA-mRNA network targets and pathway-associated proteins. Results In MCAO rats, THSWD regulated a total of 302 IncRNAs. Bioinformatics analysis suggested that some core IncRNAs might play an important role in the treatment of MCAO rats with THSWD, and we further found that THSWD might also treat MCAO rats through multiple pathways such as IncRNA-mRNA network and network-enriched complement and coagulation cascades. The results of molecular docking showed that the active compounds gallic acid and a-mygdalin of THSWD had a certain binding ability to protein targets. Conclusions THSWD can protect the brain injury of MCAO rats through IncRNA, which may provide new insights for the treatment of ischemic stroke with THSWD.

Objective:To investigate the level change of cytokines in patients with Epstein-Barr virus (EBV)-associated hemophagocytic lymphohistiocytosis (EBV-HLH).Methods:A retrospective case control study was conducted. The clinical data of 65 patients with EBV-HLH, 30 patients with infectious mononucleosis (IM) (IM group) and 40 patients with non-EBV infection-associated hemophagocytic lymphohistiocytosis (non-EBV-HLH group) who admitted to Tongji Hospital,Tongji Medical College of Huazhong University of Science and Technology from February 2022 to February 2023 were retrospectively analyzed. The enzyme-linked immunosorbent assay (ELISA) was used to detect the expression levels of the interleukin (IL)-6, IL-2, IL-10, IL-8, IL-1β, tumor necrosis factor-α (TNF-α) and interferon γ (IFN-γ) in serum samples of patients in the above 3 groups. The cytokines levels in EBV-HLH group were compared with those in IM group and non-EBV-HLH group, respectively.Results:The cytokines levels of IL-6, IL-2, IL-10, IL-8, IL-1β, TNF-α and IFN-γ in EBV-HLH group were higher than those in the non-EBV-HLH group, and the differences were statistically significant (all P < 0.05). The cytokines levels of IL-2, IL-10 and IFN-γ in EBV-HLH group were higher than those in IM group, and the differences were statistically significant (all P < 0.05). Conclusions:The cytokines levels of IL-6, IL-2, IL-10, IL-8, IL-1β, TNF-α, IFN-γ are increased in EBV-HLH patients, which may play an important role in the development and progression of EBV-HLH.

Objective To study the application of CE-Chirp in the evaluation of hearing impairment in forensic medicine by testing the auditory brainstem response(ABR)in adults using CE-Chirp to ana-lyze the relationship between the V-wave response threshold of CE-Chirp ABR test and the pure tone hearing threshold.Methods Subjects(aged 20-77 with a total of 100 ears)who underwent CE-Chirp ABR test in Changzhou De'an Hospital from January 2018 to June 2019 were selected to obtain the V-wave response threshold,and pure tone air conduction hearing threshold tests were conducted at 0.5,1.0,2.0 and 4.0 kHz,respectively,to obtain pure tone listening threshold.The differences and statistical differences between the average pure tone hearing threshold and V-wave response threshold were compared in different hearing levels and different age groups.The correlation,differences and statistical differences between the two tests at each frequency were analyzed for all subjects.The lin-ear regression equation for estimating pure tone hearing threshold for all subjects CE-Chirp ABR V-wave response threshold was established,and the feasibility of the equation was tested.Results There was no statistical significance in the CE-Chirp ABR response threshold and pure tone hearing threshold dif-ference between different hearing level groups and different age groups(P>0.05).There was a good correlation between adult CE-Chirp ABR V-wave response threshold and pure tone hearing threshold with statistical significance(P<0.05),and linear regression analysis showed a significant linear correla-tion between the two(P<0.05).Conclusion The use of CE-Chirp ABR V-wave response threshold can be used to evaluate subjects'pure tone hearing threshold under certain conditions,and can be used as an audiological test method for forensic hearing impairment assessment.