BACKGROUND:In recent years,some scholars in the field of tendon bone injury have attached stromal cell-derived factor 1 to tissue engineering scaffolds to promote tendon bone healing,and achieved good results.However,whether stromal cell-derived factor 1 promotes tendon bone healing mechanisms and participates in the repair of natural healing has not yet been defined. OBJECTIVE:To study the expression of stroma-cell derived factor 1 during tendon bone healing after rupture of the whole supraspinatus muscle of the rabbit rotator cuff and its migration effect and optimal in vitro migration promoting concentration on stem cells during tendon bone injury. METHODS:Totally 18 adult New Zealand rabbits were randomly selected to establish rotator cuff injury models,and an additional 3 rabbits were selected as blank controls.At 3,5,7,14,21,and 28 days after modeling,three rabbits were executed separately and the rabbits in the blank group were sacrificed.The tissues of tendon bone junction were taken and stored in a-80℃refrigerator.The expression of stromal cell-derived factor 1 was detected by ELISA at each time point after injury.Mesenchymal stem cells were isolated from the bone marrow of young rabbit femur,cultured,and identified.Transwell assay was performed to verify the migration-promoting effect of stromal cell-derived factor 1 on stem cells and the optimal migration-promoting concentration in vitro.The stem cells cultured to P3 were co-cultured with BrdU and injected into the rabbit ear marginal vein,and immunohistochemical staining was used to verify whether the stem cells migrated to the injury site. RESULTS AND CONCLUSION:(1)Stromal cell-derived factor 1 gene expression was bimodal during rotator cuff tendon bone healing.Stromal cell-derived factor 1 gene expression increased significantly at 3 days post-injury(P<0.01)and then decreased,reaching a minimum at 5 days post-injury.It increased again and reached a peak 14 days after injury(P<0.01)and then decreased.(2)Cell immunohistochemical staining displayed that stem cells labeled with BrdU did migrate to the injury site.(3)The results of the transwell experiment exhibited that 60-80 ng/mL stromal cell-derived factor 1 had the best effect on promoting migration of stem cells,while a concentration of 200 ng/mL inhibited migration.(4)Stromal cell-derived factor 1 is involved in the healing of rotator cuff tendon bone during the inflammatory response phase and the proliferation phase.The mechanism of action may be to promote the migration of stem cells to the injury and their differentiation into various types of cells to promote repair.In addition,the pro-migration effect of stromal cell-derived factor 1 exists at a range of concentrations,beyond which it may act as an inhibitor.

Since the 1970s, the laboratory animal industry in Suzhou has gone through five stages: its inception, emergence, growth, transformation, and scaling up. It began with the manufacturing of caging equipment for laboratory animals, initially by imitation and later through independent innovation. The industry evolved from sporadic factories to clustered enterprises, gradually growing and opening up the export market for caging equipment. In the 21st century, with industrial upgrading and transformation, purification systems and related products began to develop, and industry organizations emerged. As China has modernized, the rise of automation and intelligent production has led to technological innovation in enterprises and the emergence of various outsourcing services in the laboratory animal industry, driving the large-scale development of the industrial chain. After nearly half a century of growth, the laboratory animal industry in Suzhou has formed a complete industrial chain, including the production of laboratory animals, caging equipment, feed and bedding materials, design and construction of laboratory animal facilities, quality testing of laboratory animals and environments, and animal experimentation services. Laboratory animal breeding equipment, the core of the industry, has reached the level of developed countries, and the industry's scale and influence are unmatched in China. Since the 21st century, biopharmaceuticals have become the "No.1 industry" in the development of Suzhou. With government support, the guidance of the local economy, and the assistance from universities and research institutes, the animal experiment outsourcing industry has begun to cluster in Suzhou. The continuous influx of CROs has driven the construction of large-scale laboratory animal facilities, and key research projects have been initiated, significantly enhancing the industry's R&D capabilities. The Suzhou laboratory animal industry has quickly expanded alongside the "No. 1 industry," creating a unique "Suzhou Path" for laboratory animals. Over nearly fifty years, the laboratory animal industry in Suzhou has been essential to the rapid development of the biopharmaceutical industry in Suzhou and China.

To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids.

To systematically construct a guideline to provide a methodological guide for researchers to develop patient decision aids.

Objective To construct and validate a risk prediction model for enteral nutrition feeding intolerance (FI) in patients with severe cerebral hemorrhage based on machine learning algorithms. Methods The clinical data of 485 patients with cerebral hemorrhage admitted to the neurological intensive care unit of Northern Jiangsu People's Hospital Affiliated to Yangzhou University from January 2020 to December 2022 were retrospectively analyzed. The patients were randomly divided into training set (n=339) and validation set (n=146) in a 7 to 3 ratio. Five machine learning algorithms were used to construct FI risk prediction models. The receiver operating characteristic (ROC) curve was plotted, and the model with the best predictive performance was selected based on the area under the curve (AUC). A nomogram model was constructed based on the optimal model. The calibration curve and decision curve analysis (DCA) were used to evaluate the calibration and clinical net benefit of the nomogram model. Results The incidence of enteral nutrition FI in patients with severe cerebral hemorrhage was 38.4%(186/485). Among the five machine learning algorithm models, the Logistic regression model had the best predictive performance(AUC=0.88). The analysis results of the Logistic regression model showed that the use of diuretics, mechanical ventilation, Glasgow Coma Scale score ≤5, vasoactive drugs, and albumin level<35 g/L were risk factors for enteral nutrition FI in patients with severe cerebral hemorrhage. A nomogram model was further constructed based on these five risk factors. The calibration curve analysis showed that the calibration curve fitted well with the ideal curve, indicating a high calibration degree of the nomogram model. The DCA results showed that when the threshold probability was 5% to 73%, the application of the nomogram model for screening could clinically benefit patients. Conclusion The construction of a nomogram model for predicting the risk of enteral nutrition FI in patients with severe cerebral hemorrhage based on machine learning methods can help to early screen high-risk patients for enteral nutrition FI and timely formulate preventive measures, thereby reducing the incidence of enteral nutrition FI in patients with severe cerebral hemorrhage.

AIM: To analyze the clinical characteristics of anticoagulant rat poisoning and vitamin K

Anthracyclines are one of the widely used anti-tumor drugs in clinical practice.Its dose-related cardiotoxicity can affect the quality of life and survival rate of cancer patients,so early identification of anthracycline related cardiotoxicity is particu-larly important.This article provides a review of the research progress on early biomarkers of anthracycline related cardiotoxicity.

Objective:To evaluate the performance of Autoderm, an artificial intelligence application, in the diagnosis of skin diseases in Chinese patients.Methods:Totally, 920 patients with confirmed skin diseases were prospectively recruited in the Department of Dermatology, the First Affiliated Hospital of Zhengzhou University. Every patient provided 1 clinical image, which was uploaded onto the Autoderm application for the diagnosis of skin diseases. The diagnostic sensitivity, specificity and accuracy of the Autoderm application were estimated, and the kappa values for the diagnostic agreement between the Autoderm application and dermatologists were calculated.Results:Among the 920 patients, 871 (94.7%) could be diagnosed with an Autoderm′s in-distribution skin disease, whereas 49 (5.3%) had out-of-distribution skin diseases. According to the top 1 and 3 diagnoses given by the Autoderm application for the 920 patients separately, its mean diagnostic sensitivities were 41.8% and 65.8%, mean specificities 96.8% and 91.5%, and mean accuracies 92.9% and 89.9%, respectively, and there was moderate overall agreement between the Autoderm application and dermatologists (κ = 0.420, 0.464, respectively). However, for an out-of-distribution skin disease, the Autoderm application could output 5 definitely false diagnoses.Conclusion:Autoderm may be used as as clinical decision support tool for the diagnosis of common skin diseases in most Chinese patients, with moderate diagnostic sensitivity, high specificity, and high accuracy, but misdiagnosis may occur.

OBJECTIVES: Ozone is widely applied to treat allergic skin diseases such as eczema, atopic dermatitis, and contact dermatitis. However, the specific mechanism remains unclear. This study aims to investigate the effects of ozonated oil on treating 2,4-dinitrochlorobenzene (DNCB)-induced allergic contact dermatitis (ACD) and the underling mechanisms. METHODS: Besides the blank control (Ctrl) group, all other mice were treated with DNCB to establish an ACD-like mouse model and were randomized into following groups: a model group, a basal oil group, an ozonated oil group, a FcεRI-overexpressed plasmid (FcεRI-OE) group, and a FcεRI empty plasmid (FcεRI-NC) group. The basal oil group and the ozonated oil group were treated with basal oil and ozonated oil, respectively. The FcεRI-OE group and the FcεRI-NC group were intradermally injected 25 µg FcεRI overexpression plasmid and 25 µg FcεRI empty plasmid when treating with ozonated oil, respectively. We recorded skin lesions daily and used reflectance confocal microscope (RCM) to evaluate thickness and inflammatory changes of skin lesions. Hematoxylin-eosin (HE) staining, real-time PCR, RNA-sequencing (RNA-seq), and immunohistochemistry were performed to detct and analyze the skin lesions. RESULTS: Ozonated oil significantly alleviated DNCB-induced ACD-like dermatitis and reduced the expressions of IFN-γ, IL-17A, IL-1β, TNF-α, and other related inflammatory factors (all P<0.05). RNA-seq analysis revealed that ozonated oil significantly inhibited the activation of the DNCB-induced FcεRI/Syk signaling pathway, confirmed by real-time PCR and immunohistochemistry (all P<0.05). Compared with the ozonated oil group and the FcεRI-NC group, the mRNA expression levels of IFN-γ, IL-17A, IL-1β, IL-6, TNF-α, and other inflammatory genes in the FcεRI-OE group were significantly increased (all P<0.05), and the mRNA and protein expression levels of FcεRI and Syk were significantly elevated in the FcεRI-OE group as well (all P<0.05). CONCLUSIONS Ozonated oil significantly improves ACD-like dermatitis and alleviated DNCB-induced ACD-like dermatitis via inhibiting the FcεRI/Syk signaling pathway.
Animals ; Mice ; Dinitrochlorobenzene/metabolism* ; Skin/metabolism* ; Cytokines/metabolism* ; Interleukin-17/metabolism* ; Tumor Necrosis Factor-alpha/metabolism* ; Dermatitis, Allergic Contact/pathology* ; Dermatitis, Atopic/chemically induced* ; Signal Transduction ; RNA, Messenger/metabolism* ; Mice, Inbred BALB C

Objective:To evaluate the clinical efficacy and safety of neuro-endoscopic evacuation and microsurgery via keyhole approach in early spontaneous supertentorial intracerebral hemorrhage (ICH). Methods:A prospective multi-center randomized controlled trial was performed; 114 patients with spontaneous supertentorial ICH (time from onset to surgery<6 h) admitted to Departments of Neurosurgery, Shunde Hospital of Southern Medical University, Jiangmen Central Hospital, Affiliated Hospital of School of Medicine of Yanbian University from January 2019 to December 2021 and met the surgical indications were selected. They were divided into endoscopic group (evacuation of intracerebral hematoma under neuroendoscope, n=71) and microscopic group (microsurgery of intracerebral hematoma via keyhole approach, n=43) according to different surgical methods. After 1:1 propensity score matching of the general data, surgical time, hematoma clearance rate, early postoperative re-bleeding rate, Glasgow coma scale (GCS) scores 7 d after surgery, activity of daily living (ADL) scores 6 months after surgery, mortality, and surgery-related complications of 66 patients (33 from each group after matching) were compared. Results:The difference of surgical time between endoscopic group and microscopic group was statistically significant (125[102, 157] mins vs. 175[125, 260] mins, P<0.05). However, hematoma clearance rate (93.00%[80.88%, 96.52%] vs. 93.31%[88.15%, 96.03%]), early postoperative re-bleeding rate (15.2% vs. 9.1%), GCS scores 7 d after surgery (13[10, 15] vs. 12[8, 14]), ADL scores 6 months after surgery (65[45, 85] vs. 55[0, 85]), mortality rate (18.2% vs. 21.2%) and incidences of postoperative intracranial infection and acquired pulmonary infection were not statistically significant between the two groups ( P>0.05). Conclusion:Comparing with microsurgery via keyhole approach, neuro-endoscopy could shorten the surgical time, but not improve the prognosis or safety in early spontaneous supertentorial ICH patients.