AIM To study the chemical constituents from Cleidion brevipetiolatum pax et Hoffm.and their anti-inflammatory activities.METHODS The extract from C.brevipetiolatum was isolated and purified by silica gel,MCI,Rp-18,Sephadex LH-20,preparative HPLC,then the structures of obtained compounds were identified by physicochemical properties and spectral data.The MTT and Griess methods were used to evaluate the anti-inflammatory activities of compounds.RESULTS Seventeen compounds were isolated and identified as cleomiscosin C(1),scopoletin(2),fraxedin(3),isofraxidin(4),luteolin(5),apigenin(6),chrysoeriol(7),1-hydroxy-2-O-β-D-glucopyranosyl-4-allylbenzene(8),1-O-β-D-glucopyranosyl-4-allylbenzene(9),trans-1-(4-propenyl)-phenol-β-D-glucopyranosyl(10),benzyl-O-β-D-glucopyranoside(11),2-phenylethyl-1-O-β-D-glucopyranoside(12),(+)-syringaresinol(13),aurantiamide(14),(S)-(+)-2-cis-abscisic acid(15),loliolide(16),and hydroxychavicol(17).The ethanol extract of C.brevipetiolatum and its ethyl acetate portion showed NO inhibition with IC50 values of(44.11±5.29),(24.25±3.59)μg/mL,respectively.The IC50 values of compounds 2,and 5-7 were 3.55-14.53 μmol/L.CONCLUSION Compounds 1-7 and 13-17 are isolated from this plant for the first time.Simple coumarins and flavones from this plant show good inhibition of the production of NO.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

Abstract Allergic diseases can occur in all systems of the body, covering the whole life cycle, from children to adults and to old age, can be lifelong onset and even fatal in severe cases. Children account for the largest proportion of the victims of allergic disease, Children s allergies start from scratch, ranging from mild to severe, from less to more, from single to multiple systems and systemic performance, so the prevention and treatment of allergic diseases in children is of great importance, which can not only prevent high risk allergic conditions from developing into allergic diseases, but also further block the process of allergy. At present, there is no consensus on the management system of allergic children in kindergartens and primary schools. The "Consensus on Allergy Management and Prevention in Kindergartens and Primary Schools", which includes the organizational structure, system construction and management of allergic children, provides evidence informed recommendations for the long term comprehensive management of allergic children in kindergartens and primary schools, and provides a basis for the establishment of the prevention system for allergic children.

LIN28 is an RNA binding protein with important roles in early embryo development, stem cell differentiation/reprogramming, tumorigenesis and metabolism. Previous studies have focused mainly on its role in the cytosol where it interacts with Let-7 microRNA precursors or mRNAs, and few have addressed LIN28's role within the nucleus. Here, we show that LIN28 displays dynamic temporal and spatial expression during murine embryo development. Maternal LIN28 expression drops upon exit from the 2-cell stage, and zygotic LIN28 protein is induced at the forming nucleolus during 4-cell to blastocyst stage development, to become dominantly expressed in the cytosol after implantation. In cultured pluripotent stem cells (PSCs), loss of LIN28 led to nucleolar stress and activation of a 2-cell/4-cell-like transcriptional program characterized by the expression of endogenous retrovirus genes. Mechanistically, LIN28 binds to small nucleolar RNAs and rRNA to maintain nucleolar integrity, and its loss leads to nucleolar phase separation defects, ribosomal stress and activation of P53 which in turn binds to and activates 2C transcription factor Dux. LIN28 also resides in a complex containing the nucleolar factor Nucleolin (NCL) and the transcriptional repressor TRIM28, and LIN28 loss leads to reduced occupancy of the NCL/TRIM28 complex on the Dux and rDNA loci, and thus de-repressed Dux and reduced rRNA expression. Lin28 knockout cells with nucleolar stress are more likely to assume a slowly cycling, translationally inert and anabolically inactive state, which is a part of previously unappreciated 2C-like transcriptional program. These findings elucidate novel roles for nucleolar LIN28 in PSCs, and a new mechanism linking 2C program and nucleolar functions in PSCs and early embryo development.
Animals ; Cell Differentiation ; Embryo, Mammalian/metabolism* ; Embryonic Development ; Mice ; Pluripotent Stem Cells/metabolism* ; RNA, Messenger/genetics* ; RNA, Ribosomal ; RNA-Binding Proteins/metabolism* ; Transcription Factors/metabolism* ; Zygote/metabolism*

Eosinophilia/genetics* ; Gene Rearrangement ; Humans ; Myeloproliferative Disorders/genetics* ; Neoplasms ; Oncogene Proteins, Fusion/genetics* ; Receptor, Platelet-Derived Growth Factor alpha/genetics*

Connexin (Cx), a multigene-encoded transmembrane protein family, forms either gap junctions ( GJ) or hemichannels (HC) to mediate intercellular communication in plasma mem¬brane between adjacent cells or interacts with proteins by its car- boxyl terminal in the cytoplasm to participate in the process of tumor cell proliferation, apoptosis, necrosis, invasion, metasta¬sis, drug resistance and stem cell characteristics.However, mi- slocalization of Cx in cytoplasm or nucleus often occurs in many tumors, and involved in the occurrence and development of tumors.Subcellular localization of Cx is affected by post-transla- tional modifications, including phosphorylation, ubiquitination, and acetylation.In this paper the classification and function of Cx, the relationship between subcellular localization of Cx and tumorigenesis and the regulation of post-translational modifica¬tion on Cx are reviewed in order to provide new ideas for the study of Cx as a potential target for cancer therapy.

Aim To explore the apoptosis of small eell lung eancer ( SCLC ) eells HI688 and H446 induced by nitidine chloride and its possible mechanism.Methods The effect of nitidine chloride or cisplatin ( DDP ) on the activity of SCLC cells was detected by j J MTT method; the morphological changes of cells trea¬ted with nitidine chloride or DDP were observed by in- verted fluorescence microscope and HE staining; the effect of nitidine chloride or DDP on apoptosis was de¬tected by flow cytometry; the effect of apoptosis inhibi¬tor Z-VAD-FMK on apoptosis induced by nitidine chlo¬ride or DDP was detected by MTT method.The expres¬sions of Bax , Bcl-2, caspase-3 , PARP, p-PI3K and p- Akt in the cells treated with nitidine chloride or DDP were detected by Western blot.Results MTT results showed that the viability of SCLC cells was significantly reduced after 48 hours of treatment with nitidine chlo¬ ride; compared with DDP, nitidine chloride could in¬hibit SCLC cells with less IC50; inverted fluorescence microscope and HE staining showed that nitidine chlo¬ride could induce apoptosis in SCLC cells, similar to DDP; flow cytometry showed that nitidine chloride J J could induce apoptosis in SCLC cells.The results of MTT assay showed that the inhibitory effect of nitidine chloride on apoptosis of SCLC cells could be partially antagonized by apoptosis inhibitor Z-VAD-FMK.West¬ern blot results showed that, similar to DDP, nitidine chloride could inhibit the expression of PI3K and Akt, increase Bax, inhibit Be 1-2, and promote the cleavage of caspase-3 and PAH P.Conclusion Nitidine chlo¬ride can induce apoptosis of SCLC cells by inhibiting the activation of P13K and Akt.

OBJECTIVE: To investigate the quantitative expression of immunophenotype of CD34 METHODS: Multi-parameter flow cytometry (FCM) was used to detect the proportion and mean fluorescence intensity (MFI) of each antigen of bone marrow CD34 RESULTS: Bone marrow blast cell proportion (P<0.01), RBC level (P<0.01), and Hb level (P<0.05) of high-risk MDS patients were higher, while EPO level (P<0.05) was lower than those of low-risk patients. The proportion of CD34 CONCLUSION The immunophenotype of CD34
Antigens, CD34 ; Bone Marrow ; Bone Marrow Cells ; Flow Cytometry ; Humans ; Immunophenotyping ; Myelodysplastic Syndromes

【Objective】 To study the effects of different activators and doses on the concentration of growth factor in platelet rich plasma(PRP). 【Methods】 15 healthy volunteers, recruited to prepare PRP by COM.TEC blood cell separator, were divided into 5 groups: PRP group with no activator, Calcium gluconate PRP group, Thrombin 100U/ mL-PRP group, Thrombin 50U/ mL-PRP group, and Thrombin 100U/ml-calcium gluconate -PRP group. The white blood cell count and platelet count in PRP and whole blood were detected. The concentrations of PDGF-AA, TGF-βand VEGF in PRP inactive group and 4 different activators 1 hour after activation were determined by ELISA. 【Results】 The mean concentration of platelets in PRP was 1 462.86×10⁹/L, which was 5.77 times that in the whole blood. The mean concentrations (pg/mL) of PDGF-AA(174 348.00±132 872.39 vs 217 909.67±182 517.96 vs 221 020.38±153 321.51 vs 208 550.35±177 100.47), TGF-β(12 573.14±3 173.20 vs 14 678.45±5 880.96 vs 14 694.39±5 083.90 vs 12 675.65±4 981.83) and VEGF (653.45±489.82 vs 671.61±506.68 vs 690.05±416.13 vs 678.93±501.07) in 4 different activator groups were significantly higher than those in inactivated group (P<0.05). There was no significant difference in the concentrations of PDGF-AA, TGF-βand VEGF among different activators. Platelet concentration(1 462.86±628.41×10⁹/L) in PRP had a strong positive correlation with PDGF concentration (221 020.38±153 321.51 pg/mL)in thrombin 50 U/ mL-PRP group (P<0.05) and TGF-βconcentration(pg/mL) (12 573.14±3 173.20 vs 14 678.45±5 880.96 vs 14 694.39±5 083.90 vs 12 675.65±4 981.83, respectively) in four different activator groups (P<0.05), but had no correlation with VEGF in each group. 【Conclusion】 PRP was prepared by blood cell separator with high purity. There was no difference in the concentrations of PDGF-AA, TGF-βand VEGF among different activators and different thrombin doses. The correlation between platelet concentration and growth factor concentration in PRP was related to the type of activator and growth factor.

BACKGROUND: Prenatal evaluation of fetal lung maturity (FLM) is a challenge, and an effective non-invasive method for prenatal assessment of FLM is needed. The study aimed to establish a normal fetal lung gestational age (GA) grading model based on deep learning (DL) algorithms, validate the effectiveness of the model, and explore the potential value of DL algorithms in assessing FLM. METHODS: A total of 7013 ultrasound images obtained from 1023 normal pregnancies between 20 and 41 + 6 weeks were analyzed in this study. There were no pregnancy-related complications that affected fetal lung development, and all infants were born without neonatal respiratory diseases. The images were divided into three classes based on the gestational week: class I: 20 to 29 + 6 weeks, class II: 30 to 36 + 6 weeks, and class III: 37 to 41 + 6 weeks. There were 3323, 2142, and 1548 images in each class, respectively. First, we performed a pre-processing algorithm to remove irrelevant information from each image. Then, a convolutional neural network was designed to identify different categories of fetal lung ultrasound images. Finally, we used ten-fold cross-validation to validate the performance of our model. This new machine learning algorithm automatically extracted and classified lung ultrasound image information related to GA. This was used to establish a grading model. The performance of the grading model was assessed using accuracy, sensitivity, specificity, and receiver operating characteristic curves. RESULTS: A normal fetal lung GA grading model was established and validated. The sensitivity of each class in the independent test set was 91.7%, 69.8%, and 86.4%, respectively. The specificity of each class in the independent test set was 76.8%, 90.0%, and 83.1%, respectively. The total accuracy was 83.8%. The area under the curve (AUC) of each class was 0.982, 0.907, and 0.960, respectively. The micro-average AUC was 0.957, and the macro-average AUC was 0.949. CONCLUSIONS The normal fetal lung GA grading model could accurately identify ultrasound images of the fetal lung at different GAs, which can be used to identify cases of abnormal lung development due to gestational diseases and evaluate lung maturity after antenatal corticosteroid therapy. The results indicate that DL algorithms can be used as a non-invasive method to predict FLM.
Algorithms ; Deep Learning ; Female ; Gestational Age ; Humans ; Infant ; Infant, Newborn ; Lung/diagnostic imaging* ; Neural Networks, Computer ; Pregnancy