BACKGROUND:Inflammation affects the osteogenic differentiation of periodontal ligament stem cells,and the osteogenic ability and autophagy level of periodontal ligament stem cells are closely related.However,there are no relevant reports on whether inflammation affects the osteogenic ability and autophagy level of periodontal ligament stem cells at different stages of osteogenic differentiation. OBJECTIVE:To explore alkaline phosphatase expression and autophagy periodontal ligament stem cells levels in periodontitis and normal conditions. METHODS:Periodontal ligament stem cells from normal and periodontitis patients were isolated and cultured,and underwent Vimentin,pan-CK,and Stro-1 fluorescence staining.At 3,7,and 14 days of osteogenic differentiation,western blot assay was used to detect the protein expression levels of alkaline phosphatase,LC3B,Beclin1,and ATG5 in normal and inflammatory periodontal ligament stem cells.The mRNA expression levels of alkaline phosphatase,bone sialoprotein,osteocalcin,Runx2,LC3B,Beclin1,and ATG5 were detected by real-time PCR. RESULTS AND CONCLUSION:(1)Stro-1 was positive,Vimentin was positive,and pan CK was negative in periodontal ligament stem cells.(2)At 3,7,and 14 days after osteogenic differentiation,compared with normal periodontal ligament stem cells,the mineralization nodules formed by periodontal ligament stem cells from inflammatory sources were significantly reduced(P<0.01);the expression of alkaline phosphatase protein and mRNA was significantly lower(P<0.05);the mRNA expression levels of bone sialoprotein,osteocalcin,and Runx2 were significantly decreased(P<0.05).(3)At 7 and 14 days after osteogenic differentiation,compared with normal periodontal ligament stem cells,the expression levels of ATG5,LC3B,and Beclin1 proteins and mRNA of periodontal ligament stem cells were downregulated(P<0.05).These findings suggest that inflammation reduces the activity of periodontal ligament stem cells in mineralizing nodule formation and the expression of alkaline phosphatase and weakens the autophagy potential of periodontal ligament stem cells at 7 and 14 days after osteogenic differentiation.

OBJECTIVE To explore the effects of isorhamnetin on the development of gastric cancer through up-regulation of solute carrier family 25 member 25 antisense RNA 1（SLC25A25-AS1）. METHODS Using BALB/c nude mice as the subjects， the xenograft tumor model was established by subcutaneously inoculating human gastric cancer MKN28 cells into the axillary region. The effects of low and high doses of isorhamnetin （20 and 40 mg/kg） on the tumor volume and mass in nude mice were investigated. MKN28 cells were selected and divided into control group， isorhamnetin group （70 μmol/L， similarly hereinafter）， isorhamnetin+knocking down negative control group， isorhamnetin+knocking down SLC25A25-AS1 group， isorhamnetin+ overexpression negative control group and isorhamnetin+overexpressing SLC25A25-AS1 group. Effects of knocking down/ overexpressing SLC25A25-AS1 on viability， apoptosis， migration and invasion ability of isorhamnetin-treated cells were detected. After verifying the targeting relationships between microRNA-212-3p （miR-212-3p） and SLC25A25-AS1， as well as phosphatase and tensin homologue deleted on chromosome 10 （PTEN）， the effects of knocking down/overexpressing SLC25A25-AS1 on the expression of miR-212-3p， PTEN mRNA， and PTEN protein in isorhamnetin-treated cells were investigated. RESULTS Compared with the model control group， tumor volume and mass of nude mice in the isorhamnetin low-dose and high-dose groups were reduced significantly， and the isorhamnetin high-dose group was significantly lower than the isorhamnetin low-dose group （P＜0.05）. miR-212-3p had targeting relationships with SLC25A25-AS1 and PTEN. Compared with the control group， the cell viability （intervened for 24， 48 h）， migration number， invasion number and miR-212-3p expression of cells in the isorhamnetin group， isorhamnetin+knocking down negative control group and isorhamnetin+overexpressing negative control group were significantly reduced or decreased or down-regulated， while the apoptosis rate， mRNA and protein expressions of PTEN were significantly increased or up-regulated （P＜0.05）. Compared with isorhamnetin group and isorhamnetin+knocking down negative control group， the cell viability， migration number， invasion number and miR-212-3p expression of cells in the isorhamnetin+knocking down SLC25A25-AS1 group were significantly increased or up- regulated， while the apoptosis rate， mRNA and protein expressions of PTEN were significantly reduced or down-regulated （P＜ 0.05）. Compared with isorhamnetin group and isorhamnetin+overexpressing negative control group， the cell viability， migration number， invasion number and miR-212-3p expression of cells in isorhamnetin+overexpressing SLC25A25-AS1 group were significantly reduced or decreased or down-regulated， while the apoptosis rate， PTEN mRNA and protein expressions were significantly increased or up-regulated （P＜0.05）. CONCLUSIONS Isorhamnetin may inhibit the development of gastric cancer by up-regulating the expression of SLC25A25-AS1， down-regulating miR-212-3p， and up-regulating the expression of PTEN， which is a downstream target of miR-212-3p.

Major depressive disorder (MDD) has become an increasingly serious public health issue, characterized by high incidence and high disability rates. It often coexists with other mental health problems and physical diseases, with a significant negative impact on patients' quality of life. In clinical practice, MDD is considered a heterogeneous disease. The complexity of the pathological mechanisms and the variability in treatment responses lead to a lack of clear therapeutic targets, which complicates the treatment process. In recent years, with advancements in neuroscience, the crucial role of microglia in the pathogenesis of MDD has been revealed. As the main immune cells in the brain, microglia are not only involved in the regulation of neuroinflammation but also play important roles in neurogenesis and neuronal regulation in MDD. This article mainly discusses the role of microglia in the pathophysiological mechanisms of MDD, aiming to provide a theoretical basis for microglia as a potential target for the treatment of MDD.

Objective:To explore the application value of fetal heart ultrasound image segmentation network model based on knowledge distillation technology in the fine segmentation of fetal heart ultrasound image at three-vessel and trachea (3VT) views.Methods:One thousand and three hundred fetals were retrospectively collected from Sir Run Run Shaw Hospital, Zhejiang University College of Medicine from January 2016 to December 2021, the two-dimensional grayscale ultrasound images of fetal heart at 3VT views were analyzed and then divided into training, validation, and test sets. The training and validation sets were used to construct the auxiliary diagnostic network models, and the test set was used to test the reliability of different network models (U-Net, DeepLabv3+ ). The 3VT views were collected and annotated by an experienced doctor as the reference standard. The intersection over union (IoU), pixel accuracy (PA) and Dice coefficient (Dice) were used as the 3 indexes to evaluate the segmentation accuracy, and the diagnostic efficiency of the training model was evaluated. The training model and the most commonly used segmentation models were identified, and the results were compared. A total of 101 images were randomly selected and assigned to junior doctors, AI and junior doctors assisted AI interpretation. Bland-Altman images were drawn to evaluate their consistency with the reference standard, and the results were compared.Results:The training model of knowledge distillation algorithm achieved better results than U-Net, DeepLabv3+ models on all evaluation indexes, and the average IoU, PA and Dice were 68.6%, 81.4% and 81.3%, respectively. Compared with the U-Net model and DeepLabv3+ model, more accurate segmentation boundaries were obtained by the knowledge distillation algorithm training model, and the quantitative evaluation indexes were improved. With the aid of the model, the diagnostic accuracy of junior doctors was improved.Conclusions:The knowledge distillation algorithm training model segmentation method can identify the anatomical structure of the fetal heart in the 3VT view of the fetal heart ultrasound image, and the recognition result is obviously better than other related methods, and can improve the accuracy of image recognition for doctors with low experience.

【Objective】 To investigate the development of adaptability in children aged 2 - 6, and to explore its influencing factors, so as to provide reference for promoting the development of adaptability in young children. 【Methods】 Data were from the National Nutrition and Health Systematic Survey for Children in China, and 3 319 children aged 2 - 6 and their parents from 28 sites across 14 provinces were recruited in this study.The Development Scale for Children Aged 0 - 6 years (WS/T 580-2017) was used to measure the developmental quotient of children′s adaptive ability, and a survey questionnaire was used to collect relevant information about children and their parents. 【Results】 Among 3 319 children aged 2 - 6, the proportion of slightly low or low level of adaptability, moderate adaptability development, good and excellent adaptability development was 7.68%,66.25% and 26.06%, respectively.The proportion of children aged 5 - 6 with good and excellent adaptability was lower in 3-year-old and 4-year-old groups (χ²=59.29, P<0.05).Multiple stepwise linear regression showed that children′s gender (β=0.06), gestational age of birth (β=-0.05), only child (β=-0.04), left-behind child (β=-0.04), the main caregiver (β=-0.06), and the education level of parents (β=0.09, 0.10), whether parents actively pay attention to children′s emotions (β=-0.06) and whether children play with homemade toys (β=-0.04) were the influencing factors of children′s adaptive development quotient.Girls, full-term children, only children, non-left-behind children, children with parents as main caregivers, parents with a high level of education, parents who often take the initiative to pay attention to children′s emotions, and children who play with homemade toys had a higher level of adaptability development quotient. 【Conclusions】 The development level of adaptability in children aged 2 - 6 in China is mostly above the average level and is related to multiple factors.Targeted intervention work can be carried out on relevant factors in order to promote the development of children′s adaptability.

Due to the advancement of 16S rRNA sequencing technology, the lower respiratory tract microbiota, which was considered non-existent, has been revealed. The correlation between these microorganisms and diseases such as tumor has been a hot topic in recent years. As the bacteria in the surrounding can infiltrate the tumors, researchers have also begun to pay attention to the biological behavior of tumor bacteria and their interaction with tumors. In this review, we present the characteristic of the lower respiratory tract bacteria and summarize recent research findings on the relationship between these microbiota and lung cancer. On top of that, we also summarize the basic feature of bacteria in tumors and focus on the characteristic of the bacteria in lung cancer. The relationship between bacteria in lung cancer and tumor development is also been discussed. Finally, we review the potential clinical applications of bacterial communities in the lower respiratory tract and lung cancer, and summarize key points of sample collection, sequencing, and contamination control, hoping to provide new ideas for the screening and treatment of tumors.
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Humans ; Lung Neoplasms ; RNA, Ribosomal, 16S/genetics* ; Bacteria/genetics* ; Microbiota ; Respiratory System ; Lung/microbiology*

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.

Objective It aims to construct a quality evaluation index system for cancer multidisciplinary diagnosis and treatment(MDT)model in China from a full process perspective,providing guidance for practical application and model optimization.Methods Based on the number of MDT publications and practical situations,20 provincial-level hospitals nationwide were selected as typical cases.Rooted theory was used to extract evaluation indicators from the original text of the cases through three-level coding.A cancer MDT quality evaluation index system was constructed under the Input-Process-Output framework.Results Through three-level coding,27 initial categories,8 subcategories,and 3 main categories were sorted out,and a cancer MDT quality evaluation index system was constructed with input,process,and output as the primary evaluation indicators,and top-level design,management system,object resources,meeting preparation,meeting progress,plan implementation,patient outcomes,and hospital outcomes as the secondary evaluation indicators.Conclusion The quality evaluation index system of cancer MDT mode based on the perspective of the entire process can effectively guide practical optimization,but there is still a need for the improvement of supporting policies and information systems to assist in quality evaluation.