Objective To construct intrauterine adhesion (IUA) mouse models induced by two different concentrations of ethanol injury, compare the phenotypes, and optimize a more stable IUA modeling method. Methods Twenty 8-week-old female C57BL/6N mice were randomly divided into two groups: the 95% ethanol injury group and the 50% ethanol injury group. Using a self-control method, the left uterine horn was infused with ethanol to establish the IUA model, while the right uterine horn was infused with saline as the sham operation. Five mice from each group were euthanized on day 7 and 15 after modeling, and uterine tissues were collected. Hematoxylin-eosin (HE) staining was used to observe the endometrial pathology, and Masson staining was used to assess the degree of endometrial fibrosis. Quantitative real-time PCR was employed to detect the expression levels of fibrosis markers and pro-inflammatory factors in the uterine tissues. Results Compared to the sham operation, these two ethanol injury led to a significant reduction in elasticity of the uterus, an increase in inflammatory infiltration, and a marked increase in the degree of fibrosis on day 7 after modeling (P<0.05). The 95% ethanol injury group showed a significant decrease in endometrial thickness (P<0.05), whereas no significant change was observed in the 50% ethanol injury group when compared to the sham operation (P>0.05). The expression levels of fibrotic marker molecules collagen type Ⅳ alpha 1 chain (Col4A1), α-smooth muscle actin (α-SMA), transforming growth factor-β (TGF-β), and pro-inflammatory factors tumor necrosis factor-α (TNF-α) and interleukin-1β (IL-1β) were significantly elevated in the 50% ethanol injury group when compared to the sham operation (P<0.05), although there was an increasing trend of the same markers in the 95% ethanol injury group, the differences were not statistically significant (P>0.05). On day 15 after modeling, the histopathological changes in both ethanol injury groups were not significant when compared to the sham operation, the expression levels of Col4A1, TGF-β, TNF-α and IL-1β remained significantly higher in the 50% ethanol injury group (P<0.05), while only IL-1β was significantly elevated in the 95% ethanol injury group (P<0.05). Conclusion Uterine infusion with 95% ethanol results in more marked histopathological changes in the IUA mouse model compared to the 50% ethanol injury group. The 95% ethanol injury model is suitable for histopathological studies. However, the 50% ethanol injury group shows higher expression levels of fibrosis markers and pro-inflammatory factors compared to the 95% ethanol injury group, suggesting that the 50% ethanol injury model is more suitable for molecular pathological study.

OBJECTIVE: To investigate the accuracy and safety of pedicle screw placement using 3D-printed auxiliary guides in scoliosis correction surgery for adolescents. METHODS: A retrospective analysis was conducted on the clinical data of 51 patients who underwent posterior scoliosis correction surgery from January 2020 to March 2023. Among them, there were 35 cases of adolescent idiopathic scoliosis and 16 cases of congenital scoliosis. The patients were divided into two groups based on the auxiliary tool used:the 3D-printed auxiliary guide screw placement group (3D printing group) and the free-hand screw placement group (free-hand group, without auxiliary tools). The 3D printing group included 32 patients (12 males and 20 females) with an average age of (12.59±2.60) years;the free-hand group included 19 patients (7 males and 12 females) with an average age of (14.58±3.53) years. The two groups were compared in terms of screw placement accuracy and safety, spinal correction rate, intraoperative blood loss, number of intraoperative fluoroscopies, operation time, hospital stay, and preoperative and last follow-up scores of the Scoliosis Research Society-22 (SRS-22) questionnaire. RESULTS: A total of 707 pedicle screws were placed in the two groups, with 441 screws in the 3D printing group and 266 screws in the free-hand group. All patients in both groups successfully completed the surgery. There was a statistically significant difference in operation time between the two groups (P<0.05). The screw placement accuracy rate of the 3D printing group was 95.46% (421/441), among which the Grade A placement rate was 89.34% (394/441);the screw placement accuracy rate of the free-hand group was 86.47% (230/266), with a Grade A placement rate of 73.31% (195/266). There were statistically significant differences in the accuracy of Grade A, B, and C screw placements between the two groups (P<0.05), while no statistically significant differences were observed in intraoperative blood loss, number of fluoroscopies, correction rate, or hospital stay (P>0.05). In the SRS-22 questionnaire scores, the scores of functional status and activity ability, self-image, mental status, and pain of patients in each group at the last follow-up were significantly improved compared with those before surgery (P<0.05), but there were no statistically significant differences in all scores between the two groups (P>0.05). CONCLUSION In scoliosis correction surgery, compared with traditional free-hand screw placement, the use of 3D-printed auxiliary guides for screw placement significantly improves the accuracy and safety of screw placement and shortens the operation time.
Humans ; Male ; Scoliosis/surgery* ; Female ; Adolescent ; Printing, Three-Dimensional ; Retrospective Studies ; Pedicle Screws ; Child

Objective： Varicocele (VC) induces male infertility by mediating changes in the testicular microenvironment, in which testicular hypoxia and high-pressure are important pathological conditions. This study aims to compare the mouse spermatogenesis (GC-2spd) cells and Sertoli (TM4) cells of mouse testis after hypoxic modeling and hypoxic and high-pressure combined modeling, and to explore the feasibility of establishing a hypoxic and high-pressure combined cell model. Methods： On the basis of cell hypoxia induced by CoCl2, the complex model of testicular cell hypoxia and high pressure was constructed by changing the osmotic pressure of GC-2 and TM4 cell medium with a high concentration of NaCl solution. After selecting the intervention concentration of CoCl2 by MTT test and detecting the expression level of HIF-1α for the determination of the optimal osmotic pressure conditions of the cell model, the cells were divided into normal group, hypoxia model group and composite model group. And the levels of OS, programmed cell death, inflammatory factors, and the expression levels of pyroptosis-related proteins were compared between the normal group and the groups with different modeling methods. Results： The optimal intervention concentration of CoCl2 in GC-2 and TM4 cells was 150 and 250μmol/L, respectively, and the expression of HIF-1α was the highest in both cells under osmotic pressure of 500 mOsmol/kg (P<0.05). Compared with the normal group, the SOD levels of GC-2 and TM4 cells decreased (all P<0.05), CAT level decreased (all P<0.05), and MDA level increased (all P<0.01), and the OS level of GC-2 and TM4 cells was more obvious than that of the hypoxia model group (all P<0.05). Compared with the normal group, apoptosis occurred in GC-2 and TM4 cells after composite modeling (all P<0.05). Compared with the normal group, the mRNA expressions of IL-1β, IL-18, TNF-α and COX-2 in GC-2 and TM4 cells significantly increased (P<0.01) and higher than those in hypoxia model group (P<0.05) and induced pyroptosis (P<0.01). The expression level of GSDMD increased (P<0.05). Conclusion： The cell model with hypoxia and high pressure combined modeling can not only induce oxidative stress and apoptosis of cells better than that with hypoxia alone, but also further cause inflammatory response damage and pyroptosis, which simulates the changes of testis microenvironment mediated by hypoxia and high pressure combined conditions in VC. This cell model can be used for studying the pathogenesis of VC-associated male infertility, evaluating drug efficacy, and exploring pharmacological mechanisms.
Male ; Animals ; Varicocele/pathology* ; Mice ; Testis/metabolism* ; Hypoxia-Inducible Factor 1, alpha Subunit/metabolism* ; Cell Hypoxia ; Cobalt ; Sertoli Cells/metabolism* ; Osmotic Pressure ; Spermatogenesis ; Cellular Microenvironment ; Infertility, Male ; Disease Models, Animal

OBJECTIVE: Psoriasis, a common chronic inflammatory skin condition with genetic underpinnings, is traditionally managed with cupping therapy. Although used historically, the precise mechanical effects and therapeutic mechanisms of cupping in psoriasis remain largely unexamined. This study aimed to evaluate cupping therapy's efficacy for psoriasis and investigate its role in modulating inflammatory responses and cellular metabolism. METHODS: Psoriasis was induced in mice using topical imiquimod (IMQ). The effects of cupping on psoriatic lesions were assessed using the Psoriasis Area and Severity Index score, histology, immunohistochemistry, and immunofluorescence staining. polymerase chain reaction sequencing (RNA-seq) and Western blotting were conducted to examine changes in mRNA expression and the AMP-activated protein kinase (AMPK) signaling pathway. RESULTS: Cupping therapy significantly reduced inflammation, epidermal thickness, and inflammatory cell infiltration in mice with IMQ-induced psoriasis. Immunohistochemistry and immunofluorescence showed lower expression of inflammatory markers and a shift in T-cell populations. RNA-seq and Western blotting indicated that cupping upregulated Piezo1 and activated the AMPK pathway, improving energy metabolism in psoriatic skin. CONCLUSION Cupping therapy reduces epidermal hyperproliferation and inflammation in psoriasis, rebalancing the local immune microenvironment. Mechanistically, cupping promotes calcium influx via Piezo1, activates AMPK signaling, and supports metabolic homeostasis, suggesting therapeutic potential for psoriasis. Please cite this article as: Xi RF, Liu X, Wang Y, Lu HZ, Yuan SJ, Guo DJ, Zhu JY, Li FL, Duan YJ. Mechanosensory activation of Piezo1 via cupping therapy: Harnessing neural networks to modulate AMPK pathway for metabolic restoration in a mouse model of psoriasis. J Integr Med. 2025; 23(6):721-732.
Animals ; Psoriasis/chemically induced* ; Mice ; AMP-Activated Protein Kinases/metabolism* ; Disease Models, Animal ; Cupping Therapy/methods* ; Signal Transduction ; Imiquimod ; Ion Channels/genetics* ; Male ; Mechanotransduction, Cellular

Objective To analyze the atrioventricular synchronization rate after implantation of Micra AV leadless pacemaker,and the impact of postoperative programming optimization on atrioventricular synchronization rate.Methods A prospective cohort study was conducted to select patients with complete atrioventricular block who underwent Micra AV leadless pacemaker implantation at Beijing Anzhen Hospital from August 2022 to June 2023.Programming optimization were performed at 1 week,1 month,and 3 months postoperatively,and atrioventricular synchronization rate,electrical parameters,and echocardiography were recorded.Results A total of 68 patients with complete atrioventricular block implanted with Micra AV were selected,with an average age of(68.2±9.7)years,including 47 males(69.1％).All patients were successfully implanted with Micra AV,and there were no serious postoperative complications;The average threshold,sense,and impedance parameters were stable during 1 week,1 month,and 3 months after the procedure;There was no significant difference in the EF value of postoperative echocardiography(P=0.162);The average atrioventricular synchronization rates at 1 week,1 month,and 3 months postoperatively were(75.2％vs.83.8％vs.91.6％,P=0.001).Conclusions As an mechanical atrial sensing,Micra AV requires personalized adjustment of relevant parameters;Postoperative follow-up programming optimization plays an important role in the atrioventricular synchronization and comfort level in patients with complete atrioventricular block after implantation of Micra AV leadless pacemaker.

Objective To analyze the metabolomics characteristics of chronic atrophic gastritis(CAG)patients with liver-stomach qi stagnation and spleen-stomach weakness syndromes based on non-targeted metabolomics technology,and to identify the serum differentiated metabolites related to traditional Chinese medicine(TCM)syndrome of CAG patients,so as to provide a reference for the objectification of syndrome differentiation.Methods Sixty patients with CAG were included,including 30 cases of liver-stomach qi stagnation syndrome and 30 cases of spleen-stomach weakness syndrome.Fasting blood of 5 mL was collected from the cubital vein of patients in the two groups,and the serum levels of metabolites were detected by ultra-high-performance liquid chromatography-mass spectrometry(UPLC-MS)methods.The principal component analysis(PCA),orthogonal partial least squares-discriminant analysis(OPLS-DA),and cluster analysis were used to screen the differentiated metabolites of CAG patients with liver-stomach qi stagnation syndrome and spleen-stomach weakness syndrome.Finally,metabolite pathway analysis was performed for the obtained differentiated metabolites using the KEGG database.Results The results for the screening of differentiated metabolites showed that significant differences of amino acid derivatives and small peptide metabolites were presented between CAG patients with liver-stomach qi stagnation syndrome and CAG patients with spleen-stomach weakness syndrome.The amino acid derivatives consisted of N-acetylglycine,histamine,O-phosphoserine,selenomethylselenocysteine,and methyl-tyrosine.And the small peptide metabolites consisted of tyrosine-leucine-phenylalanine,histidine-alanine-glutamate-lysine,L-asparagine-L-proline-L-serine,and L-isoleucine-L-isoleucine.Conclusion Differences in amino acid metabolism exist between CAG patients with liver-stomach qi stagnation syndrome and those with spleen-stomach weakness syndrome,and metabolites such as N-acetylglycine,intermethyltyrosine,and O-phosphoserine may be the potential biomarkers for distinguishing liver-stomach qi stagnation syndrome from spleen-stomach weakness syndrome in CAG patients.

By consulting ancient herbal books and modern literature， this paper systematically sorted out and researched the processing history， relevant processing norms in recent years， modern processing technology， chemical composition changes of processed products and their pharmacological mechanism of Scutellariae Radix， in order to provide a basis for the further development of Scutellariae Radix decoction pieces. According to the textual research of ancient books， there were many kinds of processing auxiliary materials of Scutellariae Radix， such as wine， vinegar， salt， honey， pig bile and so on， among which the wine processing was the most diverse and detailed， and the processed products such as raw products， stir-fried products， wine-processed products， fried charcoal products were still in use. The modern processing techniques of Scutellariae Radix mainly focus on the processing aspects of softening and slicing， wine processing and charcoal frying， and the research methods are relatively unified. At present， it is found that the changed chemical constituents of Scutellariae Radix after processing are flavonoids， polysaccharides， volatile oils and trace elements， etc. Pharmacological effects of processed products are hemostasis， antibacterial， anti-inflammatory， antioxidant， analgesic and antipyretic， treatment of lung diseases， treatment of colitis， etc. However， in the studies of Scutellariae Radix processing， there is a lack of research on the structural changes of chemical components caused by processing and a comprehensive comparative study on the pharmacological effects of various processed products. Based on this， it is suggested to carry out systematic research on the processing technology to processing mechanism， further explore the relationship between the change rule of material basis and pharmacological action before and after processing of Scutellariae Radix， and deepen the exploration of molecular mechanism and clinical application of processed products of Scutellariae Radix， in order to clarify the scientific connotation of the processing mechanism of Scutellariae Radix， and lay a foundation for the subsequent expansion of the application of Scutellariae Radix decoction pieces and the formulation of processing standards.

ObjectiveTo analyze the quantity-quality transfer of standard decoction of Ginseng Radix et Rhizoma（GRR） decoction pieces produced by fresh and traditional cutting， and to provide reference for quality control and application development of the decoction pieces produced by fresh cutting. MethodTen batches of representative GRR decoction pieces produced by fresh and traditional cutting and their standard decoctions were prepared by standard process， and high performance liquid chromatography（HPLC） fingerprint of the standard decoction was established and performed on an Agilent EC-C₁₈ column（4.6 mm×150 mm， 2.7 μm） with acetonitrile（A）-0.1% phosphoric acid aqueous solution（B） as the mobile phase for gradient elution（0-23 min， 18%-21%A； 23-35 min， 21%-28%A； 35-80 min， 28%-32%A）， and the detection wavelength was 203 nm. Then similarity evaluation， principal component analysis（PCA） and partial least squares-discriminant analysis（PLS-DA） of fingerprint of the standard decoction were performed to screen the differential components with variable importance in the projection（VIP） value>1. Quantitative analysis was carried out on the screened known differential components， and combined with the indicators of the dry extract rate and the transfer rate， to explore the differences in the quantity-quality transfer between the standard decoction of GRR decoction pieces produced by fresh and traditional cutting. ResultThe fingerprint similarity of the standard decoction of GRR decoction pieces produced by fresh and traditional cutting was more than 0.950， and 18 common peaks were identified， including 9 identified common peaks. The results of PCA and PLS-DA showed that there were some differences in the contents of index components between the two standard decoctions. The contents of ginsenoside Rg₁， Re and Ro in GRR decoction pieces produced by fresh cutting were higher than those in traditional decoction pieces， while the contents of ginsenoside Rb₁， Rc ， Rb₂ and Rd were lower than those in traditional decoction pieces. The contents of ginsenoside Rg₁， Re， Rb₁ and Ro in the standard decoction of GRR decoction pieces produced by fresh cutting were higher than those in the standard decoction of traditional decoction pieces， while the contents of ginsenoside Rc ， Rb₂ and Rd were comparable between the two standard decoctions. Compared with the standard decoction of the traditional decoction pieces， the average transfer rates of ginsenoside Rg₁， Rb₁， Rc， Rb₂ and dry extract rate of the standard decoction of GRR decoction pieces produced by fresh cutting were significantly increased（P<0.05）， and the average transfer rate of ginsenoside Re and Rd also increased， but the difference was not statistically significant. ConclusionThe dry extract rate， content and transfer rate of index components of standard decoction of GRR decoction pieces produced by fresh cutting are better than those of the standard decoction of traditional decoction pieces， which can provides data support for the subsequent clinical application of fresh cutting products.

Objective To examined gene mutations in thymic carcinoma (TC) patients and to explore prognostic correlates and potential targets for therapy. Methods We retrospectively included TC patients in Sichuan Cancer Hospital between January 2015 and Febuary 2021.Whole-exome sequencing was performed on tumor tissues from TC patients and their control peripheral blood samples, and the raw data were subjected to bioinformatics analysis and statistical analysis. Results We finally included 24 TC patients with 16 males and 8 females at a median age of 55 (42-74) years. The highest frequency of single nucleotide mutations in this cohort were in the TTN gene (42%), HSPG2 (29%), and OBSCN (29%). Higher frequency of copy number variations occurred in ZNF276 gene (54%, loss), BEND3 (50%, loss), DHODH (50%, loss), and VAC14 (50%, loss). Microsatellite instability (MSI) phenotype was found in 25% of the patients, and the mean tumor mutation burden (TMB) was 9.86. Conclusion This study is the first comprehensive analysis of the mutation profile of thymic carcinoma in China to date. The mutation frequencies of TTN, OBSCN, and ZNF276 genes were high. The biomarker analysis suggests that patients may benefit from immunotherapy and have a long effective survival.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.