Objective: To develop an artificial intelligence (AI) algorithms tool for data collection in chronic hepatitis B, addressing the issue of low efficiency in traditional multicenter data collection. Methods: Based on internationally recognized data standards, this study applies mature AI techniques in the field of computer science, such as optical character recognition and natural language processing, to the data collection of real-world cohorts in chronic hepatitis B research. This tool enables the electronic collection of various data formats, including digitization of raw data in image format, structured processing, and automatic population of data into electronic case report forms (eCRFs) designed in the Research Electronic Data Capture (REDCap) system. Results: Experimental results demonstrate that the AI algorithmstool for data collection achieves the same average accuracy as manual data collection (P=0.23), with an accuracy rate of 98.66%, while reducing the time required by 75.49%(P<0.05) compared to manual collection. Conclusion: The AI algorithms tool for data collection developed in this study significantly improves the efficiency of research data collection and brings new developments to the real-world research data collection paradigm.

In recent years, immunotherapy plays an important role in the systematic treatment of unresectable hepatocellular carcinoma (HCC) and gradually becomes one of the first-line treatments. However, the objective remission rate of patients and other indicators still have a large room for improvement even for the most preferred regimen recommended by many guidelines, atezolizumab plus bevacizumab. It is speculated that a large number of HCC patients are in a state of primary immunotherapy resistance, leading to tumor immune escape, which is closely related to tumor microenvironment and tumor internal factors. Recent studies have found that HCC patients have a wide range of microbial dysregulation, including intestinal flora and the intratumoral flora. The former may interact with immune cells in the tumor microenvironment through their lipopolysaccharide (LPS), bacterial metabolites (such as secondary bile acids and short-chain fatty acids) or their own structural proteins. The latter may change the biological characteristics of HCC cells and immune cells by regulating gene expressions at the epigenetic level and substance metabolites, thereby inducing immunosuppressive microenvironment and leading to immune escape of HCC. Here the characteristics of microbial dysregulation in HCC patients were summarized, and the potential mechanisms of HCC immune escape induced by intestinal flora and intratumoral flora were reviewed, in order to provide reference for the relationship between intestinal flora and immunotherapy resistance of HCC.

Objective: The aim of this study was to investigate the therapeutic effect and possible mechanism of essential oil extracted from Yinchenhao Tang Formula (essential oil extracted from Yinchenhao) on hepatic fibrosis model mice. Methods: Seventy Kunming mice were randomly divided into 7 groups (n=10): normal group, model group, colchicine group (0.2 mg/kg), essential oils extracted from Yinchenhao in different doses-low, medium and high dose group (2, 4, 8 g/kg) and autophagy inhibited group (3MA, 30 mg/kg). Except for the normal group, each group was treated with intraperitoneal injection of 10%CCl₄ corn oil to construct hepatic fibrosis mouse model twice a week for 8 weeks. In addition, each administration group was given the corresponding drug treatment once a day for 6 weeks. After the last dose, Hematoxylin-eosin (HE) staining was used to observe the pathological changes of the liver and kidney tissue in each group. The active levels of serum alanine aminotransferase (ALT) and aspartate aminotransferase (AST) were measured by the kit method, while the levels of liver fibrosis markers type Ⅳ collagen (Col-Ⅳ), type Ⅲ Procollagen (PC-Ⅲ), hyaluronic acid (HA), laminin (LN), malondialdehyde (MDA), and inflammatory cytokines including TNF-α, and IL-6 in the liver tissue were measured by ELISA. Besides, the immunohistochemistry method or western blot method was adopted to measure the expression levels of proteins in the liver tissue, including Smad3, TGF-β₁, LC3B and Beclin1. Results: Compared with the normal group, the liver tissue in the model group appeared significant symptoms: large amount of collagen fiber deposition, infiltration of inflammatory cell, unclear liver lobule structure, with obvious fibrous septum forming and liver cells degeneration and necrosis. Besides, it was found that while the active levels of ALT and AST in serum, the levels of Col-Ⅳ, HA, LN, PC-Ⅲ, MDA, LN (P<0.01), and the protein level of liver tissue TNF-ɑ and IL-6 increased significantly (P<0.01), Smad3 and TGF-β₁ levels in liver tissue (P<0.01) and LC3B and Beclin1 levels (P<0.05, P<0.01) increased dramatically. Moreover, comparing with the model group, it was found that the collagen deposition in liver of each dose essential oils groups were found significantly reduced, with the degree of fibrosis were alleviated in different levels and remarkably reduce in the levels of ALT and AST in serum, levels of Col-Ⅳ, HA, LN, PC-Ⅲ, MDA, LN (P<0.05, P<0.01), liver tissue TNF-ɑ and IL-6 levels were observed (P<0.05, P<0.01). In addition, liver tissue Smad3 and TGF-β₁ levels (P<0.05, P<0.01) were also found reduced significantly while the evident reduction in LC3B and Beclin1 levels (P<0.01) was found in oils extracted from Yinchenhao high dose group. Conclusion: Essential oil extracted from Yinchenhao Tang Formula have significant therapeutic effects on carbon tetrachloride (CCl₄)-induced mice with liver fibrosis model, which is able to obviously improve liver function, mitigate the liver fibrosis lesions. Through TGF-β₁/Smad3-mediated signal transduction pathway, the mechanism is able to reduce autophagy of liver cells fibrosis and realize the anti-fibrosis.

Objective: To identify risk factors for surgical site infection (SSI) in spinal surgery and develop a nomogram prediction model, providing a basis for post-operative wound management. Methods: To identify risk factors for surgical site infection (SSI) in spinal surgery and develop a nomogram prediction model, providing a basis for post-operative wound management. Results: Key risk factors identified were intraoperative bleeding, time to drain removal, and postoperative albumin ≤30 g/L. The ROC AUCs for the training and validation groups were 0.775 and 0.754, respectively. Calibration curve analysis indicated close alignment of predicted and actual probabilities. DCA showed greater clinical utility in the training group. Conclusion: Intraoperative bleeding, drain removal time, and postoperative albumin ≤30 g/L are significant risk factors for SSI in spinal surgery. The nomogram model demonstrates good predictive performance, offering an effective tool for clinical evaluation and improving prediction accuracy in postoperative infection risk.

Objective: To investigate the inhibitory mechanism of dl-3-n-butylphthalide (NBP) on neuronal apoptosis after intracerebral hemorrhage (ICH) through the mitogen and stress activated protein kinase1-cAMP-response element binding protein(MSK1-CREB)signaling axis. Methods: A rat model of ICH was established using collagenase type Ⅶ injection into the caudate nucleus. Groups were set up as follows: control, sham operation(Sham), ICH+NBP and ICH+ normal saline (NS). Neurological function was assessed using the modified neurological severity score (mNSS). Brain water content was measured by the wet-dry weight method. Expression levels of Caspase-3, B-cell lymphoma-2(Bcl-2), cAMP-response element binding protein (CREB), and mitogen and stress activated protein kinase1 (MSK1) in the perihematoma tissue were detected by Western blotting and immunofluorescence analysis. Results: NBP treatment significantly improved neurological deficits after ICH in rats, alleviated brain edema, and inhibited the expression of Caspase-3 while increasing the expression of Bcl-2, CREB, and MSK1. Conclusion: NBP inhibits neuronal apoptosis after ICH in rats through the MSK1-CREB signaling axis, a theoretical basis for the application of NBP in the treatment of ICH.

Objective: To investigate the value of minigene splicing variant analysis in the diagnosis of phosphomannomutase 2-congenital disorder of glycosylation (PMM2-CDG), and to explore the impact of a novel splicing-site variant on the transcript products of the PMM2 gene. Methods: High-throughput sequencing was performed on a PMM2-CDG patient to identify the genetic etiology. Minigene splicing variant analysis was performed to explore the pathogenicity of a novel splicing-site variant in the PMM2 gene. According to the guidelines of the American College of Medical Genetics and Genomics (ACMG), the pathogenicity of the novel variant was determined. Results: On genetic analysis, the patient was a compound heterozygote of the maternal c.691G>A(p.Val231Met) and the paternal c.447+5G>A variants of the PMM2 gene. On minigene splicing variant analysis, the c.447+5G>A variant resulted in the formation of the aberrant transcript r.348_447del, indicating a pathogenic PMM2 variant. The clinical features of the patient were jaundice of the skin and sclera. The serum total bilirubin, unconjugated bilirubin, and total bile acids were significantly increased, albumin was significantly decreased, while alpha-fetoprotein, ferritin and thyrotropin were elevated. Symptomatic and supportive therapy was given, but the effect was not promising. Conclusion: Minigene splicing variant analysis revealed a new molecular marker for the definitive diagnosis and familial genetic counseling of PMM2-CDG, expanded the PMM2 genetic variant spectrum, and provided laboratory evidences for the clinical diagnosis and treatment of this condition.

Objective: To investigate the effect of 630 nm LED irradiation on the polarization and function of murine M1-macrophages both in vitro and in vivo. Methods: Murine macrophage cell line RAW264.7 and primary peritoneal macrophages were irradiated with 630 nm LED (at a power density of 8 mW/cm²) either before or after the induction of M1-polarization by lipopolysaccharide (LPS) and interferon-γ (IFN-γ). Cell viabilities were measured by CCK-8 assay. Levels of surface activation/costimulatory molecules CD80 & CD86 were determined by flow cytometry, and expressions of proinflammatory cytokines including tumor necrosis factor-α (TNF-α), interleukin-6 (IL-6) & interleukin-1β(IL-1β) were analyzed by quantitative real-time PCR (RT-qPCR) and/or enzyme-linked immunosorbent assay (ELISA). Results: Despite no effect on cell viabilities, 630 nm LED irradiation, either before or after the induction of M1-polarization by LPS and IFN-γ, not only significantly reduced surface expressions of CD80 and CD86 on RAW264.7 cells, but also hampered their mRNA exprssion and productions of pro-inflammatory cytokines TNF-α, IL-6 and IL-1β (P<0.05). Moreover, pretreating mice with 630 nm LED followed by in vitro LED irradiation of cells repressed the ability of primary murine peritoneal macrophages to secrete TNF-α and IL-6 upon activation by LPS and IFN-γ in vitro as well (P<0.05). Conclusion: 630 nm LED irradiation blunts the M1 polarization and pro-inflammatory cytokine production of murine macrophages, which may provide new therapeutic strategy for the clinical treatment of M1 macrophage-mediated inflammatory diseases.

Objective: To explore the application value of ALP, tumor markers (CEA, CA125, CA153, CYFRA21-1) and immune-inflammatory indicators(NLR, PLR, LMR, SII, SIRI) in predicting the risk of breast cancer bone metastasis. Methods: A total of 150 patients with breast cancer who were newly diagnosed at Sun Yat-sen Memorial Hospital of Sun Yat-sen University from October 2016 to October 2020 were included,including 50 patients with bone metastasis and 100 patients without bone metastasis.Clinical data and test results of serum ALP, serum tumor markers (CEA, CA125, CA153, CYFRA21-1), and peripheral blood immune-inflammatory indicators (NLR, PLR, LMR, SII, SIRI) were collected before treatment. The differences in clinical data and various indicators were compared between patients with and without bone metastasis.Spearman correlation analysis was conducted to evaluate the correlation between each indicator and the grade of bone metastasis in breast cancer.Logistic regression analysis was performed to identify effective indicators for predicting bone metastasis in breast cancer,and the predictive value of each indicator was assessed using ROC curves. Results: There were significant statistical differences (P<0.05) in histological classification, tumor size, lymph node metastasis, and visceral metastasis between the breast cancer patients with and without bone metastasis. The levels of ALP, CEA, CA125, CA153, CYFRA21-1, NLR, PLR, SII and SIRI in the breast cancer bone metastasis group were significantly higher than those in the non-bone metastasis group, while the level of LMR was significantly lower than that in the non-bone metastasis group, and all differences were statistically significant(P<0.05).The levels of ALP, CEA, CA125, CA153, CYFRA21-1, NLR, PLR, SII, and SIRI were positively correlated with the grade of bone metastasis in breast cancer (P<0.05). Conversely, the level of LMR was negatively correlated with the grade of bone metastasis in breast cancer (P<0.05).Visceral metastasis, elevated levels of ALP, CEA, CYFRA21-1, and NLR were identified as risk factors for bone metastasis in breast cancer.The areas under the ROC curves of ALP, CEA,CYFRA21-1 and NLR were 0.824,0.746,0.845 and 0.718, respectively. The combined detection of these four indicators had an AUC of 0.915, which was higher than any individual indicator, with a sensitivity and specificity of 78.0% and 89.0%, respectively. Conclusion: The combined detection of serum ALP, CEA, CYFRA21-1, and peripheral blood NLR has significant application value in predicting the risk of breast cancer bone metastasis,which can aid in the early detection and evaluation of bone metastasis in breast cancer patients.

Data mining (DM) is the process of extracting potentially valuable information and knowledge from large amounts of incomplete, noisy, fuzzy, and random real-world application data. This technology integrates artificial intelligence, databases, statistics and other multidisciplinary content, providing excellent convenience for the innovation and development of diseases management-related research. In recent years, the application of DM technology to diabetes management has achieved great results in the early prevention of diabetes, the prediction of diabetes complications and the prognosis of diabetes. However, the application of data mining technology in the field of diabetes is still in the exploratory stage in China, so this paper aims to make a detailed review of the classification of data mining technology and the application and progress of data mining technology in diabetes screening, diabetes complications prediction and improvement of the management quality of diabetes patients, so that medical staffs can have a clear and intuitive understanding of the application of data mining technology in diabetes management, and find the existing problems in the application of data mining technology in diabetes management. This paper will provide evidences for the fine management of healthcare professionals to facilitate the production of research results that are beneficial to patients and healthcare providers.

Breast cancer with low expression of Human Epidermal Growth Factor Receptor 2 (HER-2) was defined by Immunocytochemistry score 1+ or 2+ and In Situ Hybridization negative. The previous binary classification of HER-2 patients and the limitations of traditional HER-2 targeted drugs have resulted in this group of people not receiving much attention. With the revelation of Destiny-Break04 (DB-04) research results, the effect of antibody drug conjugate (ADC) (DS-8201) on patients with advanced breast cancer with low HER-2 expression has been affirmed. It provides more possibilities for the treatment and prognosis of breast cancer patients with low expression of HER-2. Although the concept of HER-2 low expression is widely used, existing evaluation standards and detection methods have certain limitations in accurately identifying such patients. Whether breast cancer patiemts with low expression of HER-2 can become an independent biological entity and the significance of HER-2 evaluation indicators in guiding prognosis and treatment is still controversial. The prognosis of early breast cancer patients with low HER-2 expression has also attracted much attention. Most of the previous studies were retrospective, and the results were inconsistent, It’s worth exploring further. This article systematically reviewed the clinicopathological characteristics, response to systematic treatment, prognosis and future exploration direction of early breast cancer with low HER-2 expression.

Objective: To analyze the correlation between peri-device leak (PDL)after thoracoscopic left atrial appendage ligation (LAAL) in patients with atrial fibrillation(AF) and left atrial appendage(LAA)morphology based on postoperative cardiac computed tomography angiography (CCTA). Methods: Sixty-two patients with AF who underwent successful LAAL at the First Affiliated Hospital of Jinan University from November 2017 to April 2023 were enrolled, as well as their clinical data. Their postoperative CCTA images were evaluated to assess LAA morphological parameter. Based on the follow-up results after LAAL, the patients were divided into two groups, the PDL group (n=34) and the non-PDL group (n=28). Logistic regression analysis was performed to identify significant risk factors among the variables with statistical differences between the two groups. Results: The parameters of the LAA between two groups were included in the single factor logistic regression analysis. The results showed that the short diameter of LAA (OR=0.393, 95% CI: 0.167~0.926, P=0.033), the long diameter of LAAO (OR=0.330, 95% CI: 0.138~0.785, P=0.012), the short diameter of LAAO (OR=0.083, 95% CI: 0.019~0.367, P=0.001), the perimeter of LAAO (OR=0.078, 95% CI: 0.510~0.983, P=0.039), the area of LAAO (OR=0.499, 95% CI: 0.319~0.783, P=0.002), and the volume of LAA (OR=0.855, 95% CI: 0.768~0.953, P=0.005) were associated with the occurrence of PDL. After multivariate logistic regression correction, that LAAO short diameter becomes longer was a risk factor for the occurence of PDL. Conclusion: The assessment of LAA morphology through CCTA has a certain predictive value for the occurrence of postoperative PDL in AF patients. When the short diameter of LAAO becomes longer, we need to be alert to the occurrence of PDL.

Objective: To evaluate the clinical efficacy of cervical discectomy by unilateral biportal endoscopy(UBE) for cervical spondylotic radiculopathy. Methods: Data of 7 patients with cervical spondylotic radiculopathy who underwent cervical discectomy via UBE from April 2021 to November 2022 were reviewed. Visual analogue scale(VAS), neck disability index(NDI)were recorded to evaluate the clinical outcome. The excellent and good rate of operation was evaluated by using MacNab criteria. The cervical curvature and the surgical segment ROM were compared pre- and post-operation. Results: The mean operation time was (120.0±39.7)min, the mean intraoperative blood loss was (24.3±14.0)mL, the mean postoperative hospitalization time was (4.3±0.8)days. The mean preoperative VAS decreased from (6.7±0.8) to (1.7±0.5) at the last postoperative follow-up, and the mean preoperative NDI decreased from (59.7±7.0)% to (10.7±1.7)% at the last postoperative follow-up (P<0.05). There was no significant difference in cervical curvature and operative segment ROM at 1 month after surgery and at the last follow-up (P>0.05). There was no significant difference in cervical curvature and surgical segment ROM preoperatively and postoperatively(P>0.05). The excellent and good rate was 100% according to MacNab criteria (excellent in 4 cases, good in 3 cases. All the 7 patients were successfully operated without cerebrospinal fluid leakage, muscle strength loss, operative infection, epidural hematoma and other serious complications. Conclusion: UBE sliding technique is an effective and safe operation for treatment of two-level CSR.

Objective: The aim of this study was to investigate the predictive value of blood lactate, interleukin-6 (IL-6), and the sequential organ failure assessment (SOFA) score on the 28-day mortality risk in sepsis patients. Methods: Retrospective analysis of clinical data of 145 sepsis patients admitted to the Department of Critical Care Medicine at the Second Affiliated Hospital of Xinjiang Medical University. All patients were admitted to the hospital and laboratory tests such as blood gas analysis and routine blood tests were completed and SOFA scores were performed. All patients were followed up for 28 days. Based on survival outcome, the patients were divided into two groups: the survival group (46 cases) and the death group (99 cases). Comparative analysis was then carried out to assess the differences in blood lactate, IL-6, and SOFA scores between the two groups. Univariate and multivariate logistic regression analyses were performed to identify independent factors influencing sepsis patient mortality. Spearman correlation analysis was employed to examine the associations between blood lactate, IL-6, SOFA scores, and sepsis patient mortality. Furthermore, the predictive value of blood lactate, IL-6, and SOFA scores, as well as their combined tests, were evaluated using receiver operating characteristic (ROC) curves. The model underwent 500 resampling iterations using the Bootstrap method in R, followed by the generation of calibration curves and clinical decision curves.Results: Blood lactate levels, IL-6 and SOFA scores of patients in the sepsis death group were significantly higher than those in the survival group, and the differences were all statistically significant (P<0.05). The overall morbidity and mortality rate among patients with sepsis was 68% (99/145). Univariate logistic regression analysis shows diabetes, blood lactate, IL-6, and SOFA score as correlates of death in patients with sepsis. Multivariable logistic regression analysis revealed that high SOFA score, having diabetes mellitus, and high IL-6 were independent risk factors for death in sepsis patients. Furthermore, blood lactate, IL-6, and SOFA scores positively correlated with sepsis patient mortality, while the area under the ROC curve (AUC) for blood lactate, IL-6, SOFA scores, and the combination of the three tests were 0.863, 0.850, 0.897, and 0.949, respectively. The optimal threshold values for lactate, IL-6, and SOFA scores were identified as 2.950 mmol/L, 100.970 pg/mL, and 7.500 points, respectively. The diagnostic sensitivity and specificity for lactate were 77.800% and 89.100%, for IL-6 were 70.700% and 91.300%, and for SOFA score were 93.900% and 80.400%. The combined test exhibited a sensitivity of 90.900% and a specificity of 89.100%. Conclusion: Elevated levels of blood lactate, IL-6, and SOFA scores have been identified as independent risk factors for mortality in patients with sepsis. The clinical prediction model developed in this study demonstrates high accuracy and clinical applicability, while the simultaneous use of these three tests holds significant predictive value in prognostic analysis for sepsis patients.

Artificial intelligence (AI), a branch of computer science has achieved significant breakthroughs in intelligent healthcare. AI holds tremendous potential in eye diseases such as retinopathy of prematurity (ROP), diabetic retinopathy (DR), and exudative age-related macular degeneration (AMD). Numerous AI studies have been conducted both domestically and internationally on the diagnosis and treatment of ROP, demonstrating high accuracy in diagnosis and prognosis. Through telemedicine technology, AI can enhance the screening efficiency for infants with ROP and reduce complications, so that alleviate the burden on society, healthcare workers and patients. Despite the potential demonstrated by AI in ROP screening systems, its widespread application in clinical practice has not yet been realized, with most researches still in the experimental phase and facing various challenges. Also, current researches on AI for intelligent treatment guidance on ROP is still insufficient. Furthermore, AI in ROP telemedicine technology continues to confront stringent requirements regarding to image quality and shooting orientation, as well as potential risks associated with data security. Therefore, future development could further establish and refine intelligent diagnostic algorithms and predictive models for ROP and introduce this technology to the bedside of infants to reduce the incidence of blindness caused by ROP. This article highlights the potential of AI in reducing the blindness rate from ROP and proposes directions for future research to lay the foundation for its widespread implementation in clinical practice.

Mitofusion2 (Mfn2), a key factor regulating mitochondrial fusion, maintains dynamic changes in mitochondrial number, structure and biological functions by modulating the fusion and fission processes of mitochondria. The homeostasis of mitochondrial dynamics is the premise of regulating organelle function. Mitochondrial dysfunction is one of the characteristics of neurodegenerative diseases, including Alzheimer’s disease (AD). In the brains of AD patients, β-amyloid (Aβ) aggregation and hyperphosphorylation of Tau proteins are accompanied by a significant decrease in the expression level of Mfn2, suggesting Mfn2 may play an important role in the pathogenesis of AD. This review focuses on the role of Mfn2 in mitochondrial dynamics of AD. Understanding the correlation between Mfn2 and the pathogenesis of AD will provide important information for the development of the treatment of mitochondrial dysfunction-related diseases.

Objective: To study the prevalence of methicillin resistant Staphylococcus aureus (MRSA) infection in patients with osteomyelitis by meta-analysis. Methods: PubMed, Web of Science, CNKI, VIP, Wanfang, and CBM were searched for Prevalence of MRSA infection in patients with osteomyelitis from inception to August 2023. The data were independently screened and extracted by 2 investigators according to the inclusion and exclusion criteria and the quality of literature was evaluated using the NOS. Data were combined using prevalence as an outcome indicator, and meta-analysis was conducted using R (4.3.1) software with subgroup analysis based on types of osteomyelitis, age and research region. Results: A total of 26 papers containing 20 860 patients with osteomyelitis were included. Meta-analysis showed that the combined prevalence of MRSA infection in patients with osteomyelitis was 0.240 (95% CI: 0.183~0.297). Subgroup analyses showed a higher prevalence of MRSA infection in patients with VO, aged 18~60 years, and in patients with osteomyelitis in North America. Conclusion: The prevalence of MRSA infection is high in patients with osteomyelitis, and effective prevention and control measures are needed to reduce the transmission of MRSA.

Objective: To investigate the correlation between mitochondrial damage and premature ovarian failure, as well as to explore the potential of repairing mitochondrial damage by umbilical cord mesenchymal stem cells for treating premature ovarian failure. Methods: Fifteen rabbits were randomly allocated into three groups, with three in the normal control group and six in each of the premature ovarian failure model group and umbilical cord mesenchymal stem cells treatment group. Both the model group and treatment group were intraperitoneally injected with 50 mg/kg of cyclophosphamide for two consecutive days to establish a POF model. In the treatment group, a suspension of 2 mL UCMSCs was administered via ear vein injection for three consecutive days starting from the third day after cyclophosphamide injection, with a cell count of 5×10⁶/mL. The model group was injected with the same volume of sterilization water. The serum levels of E2 and FSH were analyzed via venous blood samples prior to model construction, as well as at 1, 7 and 14 days post stem cell therapy. Ovarian tissue samples were collected on day of 14 days following treatment in order to observe the apoptosis of ovarian granulosa cells and changes in mitochondrial ultrastructure within the ovarian tissue.Additionally, relative expression of mtDNA was detected within the ovarian tissue. Results: ①After cyclophosphamide injection, the ovarian index of the model group exhibited a statistically significant decrease in comparison to the control group (P<0.05). ②Rabbits in the model group consistently exhibited low levels of E2 and high levels of FSH, with a statistically significant difference compared to the normal control group (P<0.05); In comparison to the model group, rabbits in the treatment group showed a significant increase in serum E2 levels and decrease in FSH levels (P<0.05). ③Compared to the normal control group, there was a significant difference in the number of apoptotic cells in the ovarian tissue of the model group (P<0.05); Additionally, compared to the model group, there was a significant difference in the number of apoptotic cells in the ovarian tissue of the umbilical cord mesenchymal stem cells treatment group (P<0.05). ④In the normal control group, follicular granulosa nuclei exhibited larger size and cytoplasm contained abundant round or oblong mitochondria that were scattered throughout. Conversely, in the model group, follicular granulosa cell mitochondria appeared disordered with swelling and vacuolation present. However, treatment with umbilical cord mesenchymal stem cells resulted in clear mitochondrial morphology within follicle granulosa cells along with some cristae presence and minimal vacuolation. ⑤Compared to the normal control group, the mtDNA content in the model group exhibited significant differences (P<0.05). Furthermore, compared to the model group, a statistically significant increase in mtDNA was observed in the ovarian tissue of the treatment group (P<0.05). Conclusion: Mitochondrial damage repair may potentially contribute to the therapeutic effect of umbilical cord mesenchymal stem cell treatment for premature ovarian failure.

Objective: To investigate the expression of circular RNA_0053063 (circ_0053063) in colon cancer cells and its effect on the migration and invasion ability of colon cancer cells and the regulatory mechanism. Methods: The expression levels of circ_0053063 in normal colonic epithelial NCM460 cells and colon cancer LoVo, HCT116, SW480, CACO-2 and HT29 cells were detected by qRT-PCR. Colon cancer LoVo cells stably overexpressing circ_0053063 were constructed. Transient transfection of shATG13 was applied to interfere with the expression of ATG13. The migration and invasion ability of each group of LoVo colon cancer cells were detected by wound healing assay and Transwell assay after pretreatment with lipopolysaccharide. Results: circ_0053063 was highly expressed in normal colonic epithelial NCM460 cells, while it was lowly expressed in colon cancer LoVo, HCT116, SW480, CACO-2 and HT29 cells. Stable overexpression of circ_0053063 significantly promoted the migration and invasive ability of colon cancer LoVo cells. Transient interference with ATG13 inhibited the migratory and invasive ability of colon cancer LoVo cells caused by overexpression of circ_0053063. Conclusion: Circ_0053063 regulates the migration and invasion ability through an ATG13-dependent pathway in colon cancer cells.

Objective: To investigate the effect of breast milk with bacteria on intestinal microbiota of 6-month-old infants based on 16S rRNA sequencing technology. Methods: A total of 12 postpartum women and their infants were included in this study. The 6-month-old postpartum milk and 6-month-old infant fecal samples were collected. According to the 6-month-old postpartum breast milk with or without bacteria, the breast milk was divided into sterile breast milk group and bacterial breast milk group, and the diversity and species difference of intestinal microbiota of 6-month-old infants fed by sterile breast milk and bacterial breast milk were compared. Results: In 6-month-old postpartum breast milk samples of 12 cases, microbiota was found in 7 cases, and the detection rate of microbiota in breast milk samples was 58.33%. There was no significant difference in α and β diversity between 6-month-old infants fed with bacterial breast milk and 6-month-old infants fed by sterile breast milk. The relative abundance of Clostridium_innocuum, unidentified_Erysipelotrichaceae, Erysipelotrichia, Erysipelotrichales and Erysipelotrichaceae in intestinal microbiota of 6-month-old infants fed by bacterial breast milk was significantly higher than that of 6-month-old infants fed by sterile breast milk (P<0.05). The relative abundance of Lactobacillaceae and Lactobacillus in intestinal microbiota of infants fed by sterile breast milk was significantly higher than that of infants fed with by bacterial breast milk (P<0.05). Conclusion: The 6-month-old postpartum breast milk may without bacteria. The presence or absence of microbiota in breast milk may not change the diversity of intestinal microbiota of 6-month-old infants, but it can change the structure of intestinal microbiota of 6-month-old infants.

Objective: Develop and validate a knee joint MR image segmentation algorithm to address challenges in accurately identifying the fine structure of cartilage, resolving fuzzy segmentation boundaries, and mitigating mis-segmentation. The goal is to detect early cartilage lesions and aid the diagnosis of chronic diseases such as knee osteoarthritis. Methods: Utilized the SKI10 public dataset for experimental verification, partitioned into training (60%), validation (20%), and test (20%) datasets. CE-TransUNet, a novel network architecture combining the Transformer and U-Net methods, was proposed. This model integrates channel attention and edge attention mechanisms. The performance of the proposed model in knee joint MR image segmentation was assessed using the average Dice similarity coefficient (DSC) as the primary evaluation metric. Results: Compared to the classical algorithm, CE-TransUNet demonstrates superior segmentation performance, achieving a DSC of 90.48%. Specifically, the DSC for femur and tibia segmentation reaches 93.55% and 93.10%, respectively. While for femoral and tibial cartilage, it is 87.69% and 87.58%. Conclusion: The segmentation results obtained using CE-TransUNet closely align with manual segmentation results, indicating superior performance compared to the comparison network model. This method presents a novel strategy to automatic knee cartilage segmentation, holding potential for clinical diagnosis and application.

Objective: To investigate the predictive value of tumor growth patterns on computed tomography (CT-TGP) for the postoperative recurrence and metastasis in non-metastatic colon cancer. Methods: Data of 426 patients with non-metastatic colon cancer who underwent surgical resection was retrospectively analyzed from two independent research centers (center1, n=204; center2, n=222). Preoperative CT images were analyzed to assess CT-TGP and tumor (CT-T) stage of enrolled patients. According to the signs of tumor outer margin, CT-TGP was classified as G1 (with smooth and clear tumor outer margin) or G2 (tumor outer margin was indistinct with irregular protrusions).CT-T stage was categorized into T1/2-T3ab (≤5 mm) or T3cd-T4 (>5 mm) based on the depth of tumor infiltration beyond the outer contour of the intestinal wall. Cox regression analysis was used to evaluate the association of the risk of recurrence and metastasis in colon cancer with CT-TGP and CT-T stages. Disease-free survival (DFS) of different CT-TGP or CT-T stage was compared using Kaplan-Meier survival curves. The prognostic value of CT-TGP and CT-T stage was quantified using Harrell’s concordance index (C-index). The interobserver agreements of CT-TGP and CT-T stage were quantified utilizing Cohen’s kappa and Light’s kappa. Results: CT-TGP was identified significantly associated with DFS in both center 1and center 2. The hazard ratios (HRs) of CT-TGP in center 1 and center 2 were 2.48(95% confidence interval [CI] 1.32~4.64, P<0.01, C-index 0.61) and 2.59(95%CI 1.50~4.48, P<0.001, C-index 0.62) respectively. CT-T staging was only found significantly prognostic for DFS in center 1 (HR 2.65, 95% CI, 1.32~5.34, P<0.01,C-index 0.60). In center 2, there was no statistically significant difference in DFS between T3cd-T4 stage and T1/2-T3ab stage patients (HR 1.54, 95% CI, 0.83~2.83, P=0.17, C-index 0.55). Additionally, CT-TGP demonstrated better interobserver consistency than CT-T stage (Light’s kappa 0.67 vs 0.52). Conclusion: CT-TGP was associated with postoperative recurrence and metastasis in patients with non-metastatic colon cancer and exhibited good prognostic value in different centers. Compared to CT-T stage, CT-TGP possessed better inter-observer consistency. Therefore, CT-TGP was an effective prognostic biomarker and could be used for the analysis of risk stratification in patients with non-metastatic colon cancer.

Objective: To analyze the risk factors of non-motor symptoms in patients with Parkinson’s disease (PD) with restless leg syndrome (RLS) and to investigate the related risk factors. Methods: Retrospectively collected 283 PD patients treated in the First Hospital of Hebei Medical University from October 2019 to December 2022, including 160 patients with RLS (PD-RLS) and 123 patients without RLS (PD-NRLS). By comparing the differences in mood (HAMD₂₄、 HAMA₁₄), cognition (MMSE), sleep (PQSI), fatigue (BFI), rapid eye movement (REM) sleep behavior disorder (RBD) motor symptoms (UPDRS-Ⅲ) and other factors between the RLS group and the non-RLS group. Logistic regression analysis was used to analyze the risk factors affecting RLS in PD patients. Results: ① The incidence of anxiety, depression, sleep disorders and RBD in PD-RLS was higher than that in PD-NRLS. ② Compared with the PD-NRLS, patients in PD-RLS were younger, but the HAMD₂₄, HAMA₁₄, PQSI, BFI, RBD and UPDRS-Ⅲ levels were higher (P<0.05). ③ In PD patients, RLS was not correlated with gender, Hoehn-Yahr stage and MMSE (P>0.05). ④ Multivariate Logistic regression analysis showed that the age and HAMA₁₄ were independent risk factors for RLS in PD patients. Conclusion: In PD patients, with the increase of age, the risk of RLS decreases, whereas the PD patients with anxiety should be alert to the occurrence of RLS. Early identification and treatment of RLS may improve the quality of life in PD patients.

Objective: The study aimed to create a personalized predictive model for postoperative recurrent lumbar disc herniation (PRLDH) following percutaneous endoscopic transforaminal discectomy (PETD) in patients. Methods: Data from 227 patients who underwent PETD surgery between June 2019 and January 2023, including 28 additional clinical features were collected. Independent risk factors for PRLDH were identified using Lasso and multiple-factor logistic regression, leading to the development of a Nomogram model. Internal validation was performed to assess model accuracy, calibration, and clinical utility. Results: Intervertebral disc angles, functional cross-sectional area of the ipsilesional multifidus muscle, Modic changes, and BMI were identified as independent predictive factors significantly associated with the occurrence of PRLDH (P<0.05). A Nomogram model was developed based on selected predictors. Internal validation resulted in an AUC of 0.867 (95%CI: 0.787~0.946) for predicting PRLDH. The Hosmer-Lemeshow test yielded non-significance ( x²=10.154, P=0.254), and the calibration curve showed good consistency between observed and predicted values. DCA identified a threshold range of 0.05~0.91 for PRLDH prediction, indicating clinical net benefits. CIC indicated that within this threshold probability range, the expected recurrent cases exceeded the actual ones. Furthermore, the Nomogram model consistently outperformed individual risk factors in clinical benefits. Conclusion: The Nomogram predictive model, based on the assessment of paraspinal muscles, demonstrates excellent predictive capability and contributes to the personalized assessment of the risk of PRLDH.

Objective: To investigate the incidence and cause of false positive reaction about hepatitis C virus antibody detection in maintenance hemodialysis outpatients, in order to correctly deal with the antibody test reports and the doctor-patient communication problems. Methods: The hepatitis C virus antibody and RNA in 279 maintenance hemodialysis outpatients of General Hospital of Southern Theater Command of PLA were analyzed by cluster sampling, cross-sectional investigation and retrospective study from December 2019 to December 2022. Results: It was found that 81 patients were false positive for hepatitis C virus antibody,which accounted to 29.03%; S/CO values between 1.0 and 5.0 was 98.77%, and between 5.0 and 10.0 was 1.23%. All cases were reviewed by HCV-RNA three times,and were negative. Different detection methods and reporting procedures were chosen at the department of laboratory and the department of blood transfusion medicine,and the results were significantly different(P<0.01). Conclusion: The S/CO values of false positive reactions about hepatitis C virus antibody detection are mostly in the gray zone range and are related to the detection strategy and reporting procedure.

Objective: To investigate the clinical characteristics and risk factors of extubation in patients with tracheotomy after stroke. Methods: The clinical data of 72 patients with tracheotomy after stroke who were hospitalized in the Department of Hyperbaric Oxygen Rehabilitation, General Hospital of Southern Theater Command from 2015 to 2023 were retrospectively analyzed. Binary logistic regression method was used to analyze the factors that may affect extubation. Results: Univariate analysis showed that age, NHISS score at admission, NHISS score at discharge,Stroke type,and consciousness state at discharge were correlated with extubation. Logistic regressionanalysis showed that NHISS score and consciousness state at discharge score was an independent factor for extubation. The x² value of the Hosmer-Lemeshow test was 8.232(P=0.411), and Area Under Curve (AUC) of ROC is 0.916 suggesting that the goodness of fit of this model is outstanding ( x²=0.9166). Conclusion: The ability of extubation in patients with tracheotomy after stroke is related to age, Stroke type,NHISS score and state of consciousness.

Objective: To establish the reference intervals for thyroid hormone measurements in healthy early pregnant women at different ages in Zigong, Sichuan Province, by using the indirect method, to provide evidence for clinical diagnosis and treatment. Methods: Data from healthy early pregnant women who had medical records in the Department of Obstetrics and Gynecology of the First People’s Hospital of Zigong from January 2019 to December 2021, 1 518 cases in total, were selected. The data were categorized into three groups according to the ages of pregnant women: group A (<26 years old), group B (26~34 years old), and group C (>34 years old), and the range from 2.5% to 97.5% was used as the reference interval. Conduct statistical analysis of the five thyroid hormones, including thyroid stimulating hormone (TSH), total triiodothyronine (TT3), total thyroxine (TT4), serum free triiodothyronine (FT3), and serum free thyroxine (FT4), in the data of three age groups. Results: There is no statistical difference among the three indicators of TSH, FT3 and FT4 in early pregnancy women of different ages, and the reference intervals for the three age groups were TSH(0.12~3.81 mIU/L), FT3(2.20~5.03 pmol/L) and FT4(4.79~16.13 pmol/L). There are statistical differences in TT3 and TT4 levels at different ages. The reference intervals of TT3 and TT4 in early pregnancy women under the age of 26 were 1.04~2.78 nmol/L and 91.80~204.88 nmol/L, while those in early pregnancy women over the age of 26 were 1.04~2.55 nmol/L and 82.70~190.00 nmol/L. The differences between group A, B, C and the non-pregnant group were statistically significant (P<0.05). Conclusion: The reference intervals for five thyroid hormone indicators in early pregnant women at different ages in Zigong, Sichuan Province have been established, providing a reference for clinical disease diagnosis, treatment, and prognosis judgment.

Objective: To examine the expression, clinical value and biological function and the underlying mechanism of AAMDC in hepatocellular carcinoma (HCC). Methods: The correlation between the expression abundance of AAMDC in HCC and its clinicopathological characteristics and prognosis were examined by immunohistochemistry and tumor databases. qRT-PCR and Western blot were used to detected the mRNA and protein expression levels of AAMDC. The impact of AAMDC on the migration and invasion were determined by transwell. The cellular localization of AAMDC was examined by immunofluorescence. The interaction network and biological function was investigated by Co-IP and mass spectrometry, and the downstream pathways of AAMDC in HCC were revealed by transcriptomics. Results: The expression of AAMDC was upregulated in HCC tissues and hepatoma cell lines. High AAMDC expression was significantly associated with poor disease-free survival. AAMDC was mainly distributed in the cytoplasm of HCC. Overexpression of AAMDC enhanced, whereas knockdown of AAMDC inhibited the migration and invasion of HCC cells. Co-IP and mass spectrometry demonstrated that AAMDC interacted with fatty acid synthetase (FASN). High-throughput transcriptomics and in vitro experiments showed that overexpression of AAMDC activated the mTOR pathway. Conclusion: AAMDC is up-regulated in HCC, and exerts oncogenic function to promote cell invasion and migration via the interaction with FASN to activate mTOR signaling.

Objective: The short-form Chinese smartphone dependence questionnaire(SPDQ) was developed and validated and established a cutoff point for screening smartphone dependence in China. Methods: A total of 221 participants completed a four-wave online survey that collected demographic data, general mental health, and responses to the 10-item Smartphone Addiction Inventory (SPAI-SF) and 7-tiem SPDQ. Factor analysis, internal consistency, test-retest reliability, and correlation analysis were conducted to verify the reliability and validity of SPDQ. Results: Confirmatory factor analysis (CFA) revealed that the 7-item SPDQ was selected to represent two-factor construct, including cognitive or mental response to dependence and behavioral response to dependence. For maximal diagnostic accuracy, a cutoff point of 4/5 best-discriminated cases of smartphone dependence as a reference to SPAI-SF. Conclusion: SPDQ demonstrated acceptable construct validity and fair to moderate levels of test reliability. This finding provides a valuable tool in population-based research on smartphone dependence in China.

As the largest and most complex microbial ecosystem within the human body, the intestinal microbiota forms a mutually beneficial symbiotic relationship with the host. The composition and function of the intestinal microbiota undergo changes throughout the entire life cycle while maintaining relative stability. With advancements in intestinal microbiota research technologies, recent studies have increasingly focused on the impact of genetic, nutritional, and environmental factors on the intestinal microbiota, with particular attention to the dynamic changes at different stages of life. The intestinal microbiota undergoes continuous development, maturation, and aging, exhibiting age-specific characters. Fetal microbiota begins to colonize in utero, and the mode of delivery and feeding practices lay the foundation for early colonization of the intestinal microbiota. The weaning process facilitates the gradual maturation of the intestinal microbiota. During adolescence and menopause, the substantial fluctuations in sex hormone levels interact with the intestinal microbiota. In the aging phase, changes in the intestinal microbiota are closely associated with immune aging and chronic low-grade inflammation. Antibiotics exert significant disruptive effects on the intestinal microbiota throughout the life cycle, especially with more pronounced effects in early life stage. This review analyzed the key factors influencing the normal initiation, maturation, and aging of the intestinal microbiota, aiming to explore the interrelationships between these factors and host physiological functions, providing a foundation for a deeper understanding of the dynamic changes in the intestinal microbial ecosystem.

Objective: To construct a 3D imaging model based on dynamic enhanced magnetic resonance imaging (DCE-MRI) to predict the expression level of Ki-67 in breast cancer. Methods: The clinical, pathological and MR Dynamic enhanced imaging data of 110 female patients with invasive breast cancer were analyzed retrospectively. Patients were divided into two groups according to Ki-67 value, those with Ki-67 value ≥30% was defined as high expression group and <30% was defined as low expression group. The 3D imaging features of the tumor area in the fourth stage of DCE-MRI were extracted. The optimal features were selected to construct the expression state model of Ki-67 prediction in breast cancer, and the Nomogram was drawn to visualize the model and evaluate the effectiveness of the model. Bootstrap was used to sample the training sample for 1000 times and reconstruct the model for internal verification. Results: The receiver operating characteristic (ROC) of the training group showed that the area under the curve (AUC) was 0.876 (95%CI 0.803~0.949), the optimal cut-off value was 0.513, the sensitivity was 80.6%, and the specificity was 86.9%. The Hosmer-Lemeshow goodness of fit test was 0.735. The decision curve (DCA) threshold ranges from 17% to 100%. In the internal validation group, AUC was 0.854 (95%CI 0.851~0.878), sensitivity was 84.0%, and specificity was 72.9%. Conclusion: The expression status of Ki-67 in breast cancer can be predicted before surgery based on the 3D features of DCE-MRI imaging, which provides an effective and non-invasive imaging model to evaluate the proliferation of breast cancer tumor cells before surgery, and provides a new reference for the treatment decision selection of breast cancer.

Objective: To clarify the impact of a first-time hospitalization history of sepsis (her einafter referred to as sepsis) on long-term cardiovascular events in surviving adult patients. Methods: Applying queue research methods. According to the 1∶2 case-control matching principle, sepsis patients hospitalized in our hospital and non sepsis patients hospitalized in the same period were selected as the research subjects. Follow-up studies were conducted on two groups of patients after discharge. Recorded the incidence and mortality of cardiovascular diseases in two groups of patients during the follow-up period. Applying Logistic regression analysis to explore the impact of hospitalization history leading to sepsis on cardiovascular events.Results: Multivariate Logistic regression showed that:①Outcome of myocardial infarction: family history of heart disease, history of diabetes mellitus and hospitalization history of sepsis were significant influence factors of myocardial infarction during the follow-up period (P<0.05). OR were 2.012, 2.436, 1.473. ②Outcome of stroke: hypertension, hyperlipidemia, history of stroke and hospitalization history of sepsis were significant influence factors of stroke during follow-up period. OR were 1.392, 3.141, 1.893, 1.428. ③Cardiovascular death outcome: older age, diabetes mellitus, low BMI and sepsis hospitalization history were significant influence factors of cardiovascular death during the follow-up period. OR were 2.013, 1.876, 1.592, 1.404.④ All-cause death outcome: older age, male, hypertension, diabetes mellitus, active malignant tumor, smoking, and sepsis hospitalization history were significant influence factors of all-cause death during the follow-up period. OR were 2.446, 1.229, 2.398, 1.892, 2.713, 1.455, 1.454. Conclusion: Compared to non sepsis hospitalized survivors, adult sepsis survivors have an increased risk of experiencing cardiovascular events.

Objective: To explore the risk factors of subsyndromal delirium (SSD) after orthopedic surgery in adults and construct a risk model for verification. Methods: Using a convenient sampling method, selected 333 adult patients of Luoyang Orthopedics Hospital (Henan Orthopedic Hospital), from January 1, 2022, to June 30, collected clinical data and various indicators, discussed the risk factors of SSD in adults after orthopedic surgery through logistic regression analysis by univariate analysis and dichotomy surgery, constructed the risk model function and nomogram prediction model, The developed model was evaluated by both discrimination measured by the C-index and calibration evaluated by the Hosmer-Lemeshow test and calibration plot,which compares the prediction probability and the actual observation Probability.A nomogram was established based on the risk predictive model by using R for Windows with The rms package R. Results: 301 cases were included in the study, including 274 (non-SSD) and 27 (SSD), and the incidence of SSD was 8.97%. Univariate analysis found that the influencing factors of adult orthopedic postoperative SSD are blood sodium and hemoglobin on admission, FRAIL scale score, daily living ability at admission, APACHE Ⅱ score, intraoperative use of sedative, analgesics, intraoperative blood transfusion, hemoglobin in ICU, the two groups are significant difference (P<0.05). Dichotomous logistic regression analysis found that blood sodium at admission (OR=0.922), FRAIL scale score at admission (OR=1.418), and daily living ability score at admission (OR=0.973) were independent risk factors for subpatients (P<0.05). Y=11.484-0.081×c_{blood sodium at admission} +0.349×FRAIL scale score at admission-0.027×daily living ability score at admission. An individualized nomogram prediction model was established with the above factors, and the C index is 0.788[95%CI(0.738, 0.833)], The model showed a good false acceptance rate is 8.97%, and the sensitivity and specificity of the model were 77.8% and 69.71%, and the correction curve was fit well (Hosmer-Lemeshow test,P=0.705).Conclusion: The prediction model of the column graph established in this study is helpful for clinical staff to carry out early assessment and screening of these factors, intuitively and easily identify the population with subsyndromal delirium, and provide reference for early screening and intervention, as well as for optimizing the management of postoperative delirium in orthopedic patients.

Objective: To investigate the change of epicardial fat thickness (EFT) in patients with systemic lupus erythematosus (SLE) and its correlation with cardiac ultrasound parameters and traditional cardiovascular risk factors. Methods: SLE patients admitted to Rheumatology and Immunology Department of the First Affiliated Hospital of Jinan University from October 2019 to October 2021 were included as the case group, and healthy subjects in the same period were included as the control group. EFT was measured in both groups. SLE patients were divided into two subgroups according to whether EFT was thickened. The differences in inflammatory indicators, cardiac ultrasound parameters and traditional cardiovascular risk factors between the two subgroups were compared. Logistic regression analysis was used to explore the risk factors for EFT thickening. Results: The EFT of SLE patients was significantly thicker than that of the control group [4.40(2.60)mm vs. 3.10(1.60)mm, P<0.001]. EFT thickening occurred in 42.0% (76/131) of SLE patients and 9.5% (9/95) of healthy controls. The age, body mass index (BMI), left atrial diameter (LAD), right ventricular inner diameter (RVD), interventricular septal thickness (IVST), left ventricular posterior wall thickness (LVPWT) and carotid intima-media thickness (CIMT) in the EFT thickening group were significantly higher than those in the non-thickening group. EFT was positively correlated with age, disease course, BMI, triglyceride, low-density lipoprotein, LAD, RVD, IVST, LVPWT and CIMT. Logistic regression analysis demonstrated that increased LVPWT was a risk factor for EFT thickening. Conclusion: EFT thickening in SLE patients is associated with changes in cardiac structural or functional parameters, suggesting that further screening for cardiovascular risk factors should be conducted in SLE patients with increased EFT and abnormal cardiac structure or functional parameters.

Objective: To investigate effects of partial depolarization on peripatellar tissues underwent electrocautery on the post-operative knee joint and patellar functions of patients underwent unicompartmental knee arthroplasty (UKA) surgery. Methods: This retrospective study was conducted based on 60 knee osteoarthritis (OA) patients with UKA surgery in the Affiliated Chizhou Hospital of Wannan Medical College from March 2020 to October 2022. Patients were randomly assigned to the treatment group and control group. Patients in the control group received only UKA surgery, while patients in the treatment group received UKA surgery combined with partial depolarization of peripatellar tissue underwent electrocautery. Pain, knee joint function, patellar inclination angle and the Feller patellar score of the both groups were compared before and 1, 3, 6 months after surgery, respectively. Results: The Visual Analogue Scale scores of patients in the treatment group were significantly lower than the control group at 1 month (t=3.437, P=0.001), 3 months (t=6.591, P<0.001) and 6 months (t=5.162, P<0.001) after surgery, respectively. The Hospital for Special Surgery Knee scores of patients in the treatment group were higher than the control group at 1 month (t=9.625, P<0.001), 3 months (t=7.970, P<0.001) and 6 months (t=4.092, P<0.001) after surgery, respectively. The patellar inclination angles of patients in the study group were significantly smaller than the control group at 1 month (t=2.571, P=0.013), 3 months (t=2.671, P=0.010) and 6 months (t=2.741, P=0.008) after surgery, respectively. Feller scores of patients in the study group were higher than the control group at 1 month (t=2.510, P=0.015), 3 months (t=3.384, P=0.001) and 6 months (t=3.483, P=0.001) after surgery, respectively. Conclusion: Partial depolarization of peripatellar tissues by electrocautery can effectively improve the knee and patellar functions in OA patients after unicompartmental knee arthroplasty surgery.

Objective: To explore the effects of Casticin on the expression of miR-342-3p and glycolysis in cervical cancer HeLa cells, and to test whether Casticin inhibited glycolysis in cervical cancer HeLa cells by upregulating the expression of miR-342-3p. Methods: The method employed in the study was to treat HeLa cells with different concentrations (0, 10, 30, 100 nmol/L) of Casticin and Casticin (30 nmol/L) combined with miR-342-3p mimics or inhibitor transfection. RT-qPCR assay was adopted to examine the expression level of miR-342-3p in HeLa cells. Simultaneously, through measuring relative glucose consumption and relative lactate production, the effects of Casticin or Casticin combined with miR-342-3p mimics or inhibitor transfection on the glycolysis in cervical cancer HeLa cells were detected and analyzed. Results: Casticin upregulated the expression level of miR-342-3p in a concentration dependent manner as well as reduced the glucose consumption and inhibited the lactate production in HeLa cells. Moerover, miR-342-3p mimic synergistically inhibits glucose consumption and lactate production in HeLa cells in combination with Casticin. On the contrary, miR-342-3p inhibitors could rescue Casticin’s upregulation of miR-342-3p expression level as well as the inhibitory effects on glucose consumption and lactate production of HeLa cells. Conclusion: The conclusion indicated that Casticin inhibited glycolysis in HeLa cells through upregulating the expression level of miR-342-3p.

Acute infectious endocarditis in children is a clinically challenging disease with reported mortality rate of 8.5%. Approximately half of the patients have surgical indications. How to manage these pediatric patients and improve their prognosis is a concern that cardiac anesthesiologists should consider during the perioperative period. However, there is currently a lack of relevant clinical guidelines. One case of anesthesia management for tricuspid valve repair surgery in a child with acute infective endocarditis was reported and relevant literature for clinical reference was reviewed.

Objective: The community structure of endophytic fungi in the scale leaves and roots of the lilium lancifolium, as well as the fungi in the rhizosphere soil, was analyzed. Furthermore, the ecological functions of endophytic fungi in the scale leaves, a medicinal part, were predicted. This approach aimed to identify functional groups closely associated with the active ingredients of L. lancifolium. Methods: The Illumina MiSeq sequencing technology was utilized to sequence the ribosomal DNA (rDNA) of the internal transcribed spacer (ITS) region within the rhizosphere and endophytic fungi of L. lancifolium. The operational taxonomic units (OTUs) were used to functionally classify the scale leaves endophytic fungal community in FUNGuild software. Results: ① Ascomycota and Basidiomycetes are the predominant phyla in L. lancifolium. Cutaneotrichosporon and Fusarium are the dominant genera found on scale leaves. Cutaneotrichosporon is significantly more prevalent in scale leaves than in roots and rhizosphere soil.②The scale leaves of L. lancifolium are mainly divided into eight functional groups: undefined saprophytes, plant pathogens, plant endophytes-plant pathogens, animal pathogens-undefined saprophytes, ectomycorrhizal fungi, litter saprotroph-plant pathogen, endophyte-undefined saprotroph and wood saprotroph. Undefined saprotroph is the most dominant group of scale leaves, and OTUs mainly belong to Nemania. Conclusion: Cutaneotrichosporon and Fusarium may be closely related to the active ingredient of L. lancifolium.

Objective: To explore the correlation between video dependence and adolescent psychological anxiety, and to explore the effective prevention and treatment strategies. Methods: Linear correlation and multiple linear regression equations were used to analyze the relationship between psychological anxiety caused by video dependence in adolescents. Based on Tiktok video platform, relevant data were collected by adolescent video addiction scale and self-rating anxiety scale (SAS). Results: A total of 214 adolescents in Guangzhou were investigated. The results showed that video dependence was positively correlated with psychological anxiety (r=0.448,P<0.01), and the four dimensions of video dependence were significantly positively correlated with psychological anxiety. The four dimensions included loss of control (r=0.451,P<0.01), withdrawal (r=0.433,P<0.01), avoidance (r=0.333,P<0.01) and inefficiency (r=0.325,P<0.01). The regression equation showed that the standard regression coefficients of the two dimensions of video dependence, loss of control and withdrawal, were 0.392 and 0.368 respectively (P<0.01). Conclusion: The video dependence of adolescents is positively correlated with their level of psychological anxiety, with the uncontrollable and withdrawal factors of video dependence having a more significant impact on anxiety. This study provides a reference basis for precise intervention of video dependence.

Objective: A hypothermia risk prediction model in elderly total hip arthroplasty (THA) was constructed. Methods: The data of 252 elderly patients who underwent hip replacement surgery from January 2019 to May 2022 were included, and the risk factors for hypothermia were analyzed, and a nomogram prediction model was constructed and validated. Results: Logistic regression analysis showed that anesthesia time, operation time, operating room ambient temperature, intraoperative infusion, and surgical bleeding were independent influencing factors of intraoperative hypothermia in elderly people with THA (P<0.05). The AUC of the nomogram prediction model is 0.888(95%CI:0.849~0.928), and the consistency results are close to the ideal predictive ability, and the clinical decision curve shows that the threshold is 0.15~0.95, which can benefit clinically. Conclusion: The model constructed in this study can accurately predict intraoperative hypothermia in elderly patients with total hip arthroplasty, which can provide reference for clinical decision-making.

Objective: HeartSaver is an emergency training course for the non-medical public, which is of great significance to enhance the knowledge of CPR among the non-medical public. This study aimed to investigate the current status of non-medical public (public and non-medical students) knowledge of cardiopulmonary resuscitation (CPR) and the evaluation of HeartSaver courses, so as to provide a theoretical basis for the development of HeartSaver courses for non-medical professionals. Methods: A total of 134 participants who participated in the training of HeartSaver course at the Training Center of the First Affiliated Hospital of Jinan University in 2020 were selected and self-compiled questionnaires were used to survey them, including demographic data, cardiopulmonary resuscitation knowledge and HeartSaver course satisfaction. Results: The self-assessment scores of cardiopulmonary resuscitation knowledge mastery of non-medical public were 2 (1, 2), and the self-assessment scores of non-medical students in cardiopulmonary resuscitation were 2 (2, 3), Between two groups, there was no differences in the implementation sequence and compression ventilation ratio, while significant differences (P>0.05) were found in 8 aspects such as CPR rescue golden time and consciousness judgment (P<0.05). The median scores in the Heartsaver course training evaluation were 5 (4,5) and 5 (5,5) respectively, and there was a significant difference in time allocation between the two groups (P<0.01). Conclusion: Students and the general public had a poor knowledge of CPR, but they had a higher willingness to train and rescue, and scored higher for all aspects and methods of HeartSaver training. Expanding the impact of this training, spreading it to more people, and raising the level of first aid knowledge in society are highly recommended.