Objective To evaluate the value of coronary CT angiography(CCTA)radiomics machine learning(ML)model combined with pericoronary fat attenuation index(FAI)for predicting coronary plaques progression.Methods Totally 194 patients with CCTA showing coronary plaques and received at least one CCTA review afterwards were retrospectively collected.The annual change value of total plaque burden(△TPB/y)was calculated based on the first and last CCTA to assess plaque progression.All patients were categorized into non-progressive(△TPB/y＜median △TPB/y)and progressive(△ TPB/y≥median △ TPB/y)groups.The patients were divided into training set(n=155)and validation set(n=39)at the ratio of 8∶2.Univariate and multivariate logistic regression analyses were used to screen clinical and primary CCTA related factors for plaque progression,and CCTA model was constructed.Radiomics features were extracted and screened based on primary CCTA to build ML models using random forest(RF),Gaussian process(GP),partial least squares discriminant analysis(PLS-DA),quadratic discriminant analysis(QDA)and support vector machine(SVM)algorithms.The effectiveness of all models was verified in validation set and the optimal ML model was selected.And its combination with CCTA model constructed combined model.The efficacy of each model for predicting coronary plaques progression was evaluated.Results Of 194 cases,97 were in progressive group and 97 were in non-progressive group.The training set included 77 cases of plaques progression and 78 of plaques non-progression,and the validation set included 20 of plaques progression and 19 of plaques non-progression.FAI was the independent predictor of plaque progression(OR=1.08,P＜0.001)and CCTA model was constructed.Ten optimal radiomics features based on training set were selected to build RF,GP,PLS-DA,QDA and SVM models.The area under the curve(AUC)of RF model in training set and validation set were both high,was considered as the optimal ML model.The AUC of CCTA,RF and combined models in training set was 0.684,0.847 and 0.861,respectively,while was 0.629,0.768 and 0.821 in validation set,respectively.Conclusion CCTA radiomics ML model combined with FAI could effectively predict coronary plaques progression.

Objective To evaluate the value of coronary CT angiography(CCTA)radiomics machine learning(ML)model combined with pericoronary fat attenuation index(FAI)for predicting coronary plaques progression.Methods Totally 194 patients with CCTA showing coronary plaques and received at least one CCTA review afterwards were retrospectively collected.The annual change value of total plaque burden(△TPB/y)was calculated based on the first and last CCTA to assess plaque progression.All patients were categorized into non-progressive(△TPB/y＜median △TPB/y)and progressive(△ TPB/y≥median △ TPB/y)groups.The patients were divided into training set(n=155)and validation set(n=39)at the ratio of 8∶2.Univariate and multivariate logistic regression analyses were used to screen clinical and primary CCTA related factors for plaque progression,and CCTA model was constructed.Radiomics features were extracted and screened based on primary CCTA to build ML models using random forest(RF),Gaussian process(GP),partial least squares discriminant analysis(PLS-DA),quadratic discriminant analysis(QDA)and support vector machine(SVM)algorithms.The effectiveness of all models was verified in validation set and the optimal ML model was selected.And its combination with CCTA model constructed combined model.The efficacy of each model for predicting coronary plaques progression was evaluated.Results Of 194 cases,97 were in progressive group and 97 were in non-progressive group.The training set included 77 cases of plaques progression and 78 of plaques non-progression,and the validation set included 20 of plaques progression and 19 of plaques non-progression.FAI was the independent predictor of plaque progression(OR=1.08,P＜0.001)and CCTA model was constructed.Ten optimal radiomics features based on training set were selected to build RF,GP,PLS-DA,QDA and SVM models.The area under the curve(AUC)of RF model in training set and validation set were both high,was considered as the optimal ML model.The AUC of CCTA,RF and combined models in training set was 0.684,0.847 and 0.861,respectively,while was 0.629,0.768 and 0.821 in validation set,respectively.Conclusion CCTA radiomics ML model combined with FAI could effectively predict coronary plaques progression.

Astrocytes are the largest glial population in the mammalian brain. However, we have a minimal understanding of astrocyte development, especially fate specification in different regions of the brain. Through lineage tracing of the progenitors of the third ventricle (3V) wall via in-utero electroporation in the embryonic mouse brain, we show the fate specification and migration pattern of astrocytes derived from radial glia along the 3V wall. Unexpectedly, radial glia located in different regions along the 3V wall of the diencephalon produce distinct cell types: radial glia in the upper region produce astrocytes and those in the lower region produce neurons in the diencephalon. With genetic fate mapping analysis, we reveal that the first population of astrocytes appears along the zona incerta in the diencephalon. Astrogenesis occurs at an early time point in the dorsal region relative to that in the ventral region of the developing diencephalon. With transcriptomic analysis of the region-specific 3V wall and lateral ventricle (LV) wall, we identified cohorts of differentially-expressed genes in the dorsal 3V wall compared to the ventral 3V wall and LV wall that may regulate astrogenesis in the dorsal diencephalon. Together, these results demonstrate that the generation of astrocytes shows a spatiotemporal pattern in the developing mouse diencephalon.
Mice ; Animals ; Astrocytes ; Neuroglia/physiology* ; Diencephalon ; Brain ; Neurons ; Mammals

This article introduces the contents of the latest edition Risk of Bias in Non-randomized Studies-of Exposure (ROBINS-E) published in June 2022 [ROBINS-E (2022)], and gives some examples about its usage. ROBINS-E is a tool for assessing the risk of bias in non-randomized studies-of exposure. Compared with ROBINS-E (2019), ROBINS-E (2022) adds more bias for observational studies, covers a more comprehensive range of bias, and adds the assessment of the external authenticity of the study. ROBINS-E (2022) adds a preliminary evaluation process to improve the efficiency of evaluation. In addition, ROBINS-E (2022) visualizes and instrumentalizes the use of signal problems in the form of path graph, making it more convenient to use. ROBINS-E (2022), although more consideration has been given to the issue of co-exposure, still does not address the problem of effect modification in co-exposure, and there is still room to expand the applicable research.

Rapid and accurate detection technologies are crucial for disease prevention and control. In particular, the COVID-19 pandemic has posed a great threat to our society, highlighting the importance of rapid and highly sensitive detection techniques. In recent years, CRISPR/Cas-based gene editing technique has brought revolutionary advances in biotechnology. Due to its fast, accurate, sensitive, and cost-effective characteristics, the CRISPR-based nucleic acid detection technology is revolutionizing molecular diagnosis. CRISPR-based diagnostics has been applied in many fields, such as detection of infectious diseases, genetic diseases, cancer mutation, and food safety. This review summarized the advances in CRISPR-based nucleic acid detection systems and its applications. Perspectives on intelligent diagnostics with CRISPR-based nucleic acid detection and artificial intelligence were also provided.
Humans ; CRISPR-Cas Systems/genetics* ; COVID-19/genetics* ; Pandemics ; Artificial Intelligence ; Nucleic Acids

Objective : By observing the changes of interleukin-22 ( IL-22) ，signal transduction and transcriptional activator 3 (STAT3) ，fasting blood glucose ( FBG) and fasting insulin ( FINS) of rats under the circumstance of chronic intermittent hypoxia and reoxygenation，to explore the role of IL-22 / STAT3 pathway in insulin resistance in- duced by chronic intermittent hypoxia． Methods : 4 SD rats were randomly divided into control group (NC group) and intermittent hypoxia group ( CIH group) ，with 12 rats in each group．NC group was placed in normoxia environment for 12 weeks，while CIH group was first given intermittent hypoxia for 8 weeks and then resumed normoxia feeding until 12 weeks．FBG，FINS，IL-22 and p-STAT3 / STAT3 levels were measured at baseline，week 8 and week 12 in both groups，and insulin resistance index (HOMA-IR) was calculated．The differences between the two groups were compared. Results : ① There was no significant difference of the observation indexes between the two groups at baseline (P＞0. 05) ．At 8 weeks，the levels of FBG，FINS and HOMA-IR in CIH group were higher than those in NC group (P＜0. 05) ，and the levels of IL-22 were lower than those in NC group (P ＜0. 05) ．p-STAT3 / STAT3 showed a decreasing trend，but not statistically significant．At 4 weeks of reoxygenation，there were no significant differences in FBG，FINS，HOMA-IR and IL-22 levels between the two groups (P ＞0. 05 ) ．p-STAT3 / STAT3 in CIH group was significantly higher than that in NC group ( P ＜0. 05 ) . ② Spearman rank correlation analysis showed that HOMA-IR was negatively correlated with IL-22 and p-STAT3 / STAT3 ( all P ＜0. 05) ． Conclusion Chronic intermittent hypoxia can inhibit the expression of IL-22 / STAT3 signaling pathway，IL-22 / STAT3 signaling pathway may mediate insulin resistance induced by chronic intermittent hypoxia.

Objective : To investigate the role of endoplasmic reticulum stress in hepatic insulin resistance induced by intermittent hypoxia in rats． Methods : Twenty-four SD rats were randomly divided into control group ( NC group) and intermittent hypoxia group ( CIH group) ．The NC group was placed in a normoxia environment for 12 weeks，and the CIH group was given intermittent hypoxia for 8 weeks，and then returned to normoxia until the 12th week．In both groups，fasting blood glucose (FBG) ，fasting insulin (FINS) ，and liver inositol-requiring enzyme- 1 α(IRE1 α) ，X-box binding protein 1s(XBP1s) ，forkhead box transcription factor O1 (FoxO1) ，activating transcription factor-6(ATF6) ，cAMP-response element binding protein( CREB) ，CREB-regulated transcription coacti- vator-2( CRTC2) ，double-stranded RNA-dependent protein kinase-like ER kinase ( PERK) ，eukaryotic initiation factor 2 α(eIF2 α) ，protein kinase B ( AKT) ，phosphoenolpyruvate carboxykinase ( PEPCK) ，glucose-6-phosphat- ase( G6Pase) mRNA were measured at baseline，week 8，and week 12 . Results : There was no significant differ- ence in each observation index between the two groups at baseline ; at 8 weeks，the levels of FBG，FINS and the mRNA levels of IRE1α , XBP1s，ATF6，PERK，eIF2 α , PEPCK and G6Pase in the CIH group were higher than those in the NC group (P＜0. 05) ，while the mRNA levels of CREB，CRTC2 and AKT were lower than those in the NC group (P＜0. 05) ; at 12 weeks，there was no significant difference in each observation index between the two groups．Pearson correlation analysis showed(8th week of intermittent hypoxia group) : homeostasis model as- sessment-insulin resistance(HOMA-IR) was positively correlated with FoxO1，CREB，CRTC2 and PERK，eIF2 α mRNA levels (r = 0. 172，0. 595，0. 183，0. 702，0. 608 ; P＜0. 05) while it was negatively correlated with IRE1α , XBP1s，ATF6，AKT mRNA levels (r = －0. 422 ，－0. 327 ，－0. 309 ，－0. 399 ; P＜0. 05) ． Conclusion Intermittent hypoxia can lead to insulin resistance，and endoplasmic reticulum stress may mediate this effect.

Objective:To evaluate clinical characteristics and treatment of postoperative anastomotic stricture in pediatric congenital biliary dilatation patients.Methods:The clinical data of 24 children with postoperative anastomotic stricture from Apr 2012 to Oct 2019 in Beijing Children's Hospital was retrospectively analyzed.Results:There were 6 males and 18 females. Patients were divided into bile- leak group (BL, n=6) and non bile-leak group (NBL, n=18) based on whether there was anastomotic leakage after primary surgery. The main symptoms in BL group was persistent obstructive jaundice, and recurrent cholangitis in NBL group. Postoperative symptoms were first shown in an average of 7.0 months in BL group, compared to 59.0 months in NBL group, P<0.05. In BL group, 4 underwent redoing hepaticojejunostomy, 2 underwent anastomosis plasty. In NBL group, 3 underwent redoing hepaticojejunostomy, 15 did anastomosis plasty with multiple biliary stones found necessitating extraction. After reoperation, one patient had bile leakage, 2 patients had recurrent cholangitis within one-month, 21 patients had uneventful recovery. Five were found to have biliary stones in long-term follow-up. Conclusions:Biliary-enteric anastomotic leakage can cause stricture in postoperative patients of congenital biliary dilatation ,reoperation is necessary in symptomatic patients.

OBJECTIVE：To establish the fingerprint of Jingu tongxiao pill ，and to determine the contents of 7 components. METHODS：HPLC method was adopted. The determination was performed on Cosmosil 5C18-MS-Ⅱ column with acetonitrile- 0.02％ phosphoric acid solution as mobile phase （gradient elution ）at the flow rate of 1.0 mL/min. The detection wavelength was 230 nm and the column temperature was set at 25 ℃. The sample size was 10 μL. HPLC fingerprint of 10 batches of Jingu tongxiao pill was established by using Similarity Evaluation System of TCM Chromatographic Fingerprint （2012 edition），and common peak was identified by comparing with the mixed reference substance. The contents of corresponding components of the identified common peak were determined by the same HPLC method. RESULTS ：There were 20 common peaks in HPLC fingerprint of 10 batches of samples ，and the similarity with the control fingerprint was not less than 0.980. By comparing with the mixed reference substance， 7 components were identified ， which were loganic acid ，gentiopicroside，paeoniflorin，salvianolic acid B ， cryptotanshinone，tanshinone Ⅰ and tanshinone Ⅱ A. The linear range of the above 7 components were 4.509-45.090， 15.090-150.900，14.985-149.850，14.982-149.820，2.967-29.670，1.944-19.440，3.094-30.940 μg/mL（all r＞0.999），respectively. The limits of detection were 0.060 1，0.161 0，0.399 6，0.159 8，0.031 6，0.051 8，0.082 5 μg/mL，respectively. The limits of quantitation were 0.200 4，0.503 0，0.999 0，0.399 5，0.079 1，0.259 2，0.412 6 μg/mL，respectively. RSDs of precision ，stability （24 h） and reproducibility tests were all lower than 3.0％ （n＝6）. Average recoveries were 98.81％ -100.28％ ，RSDs were 0.20％-1.21％（n＝6）. In 10 batches of samples ，the contents of the above 7 components were 0.441 0-0.969 4，3.283 4-4.733 4， 1.947 7-3.674 9，1.336 6-2.270 9，0.293 2-0.372 1，0.190 2-0.293 9 and 0.352 8-0.518 8 mg/g，respectively. CONCLUSIONS ：In this study，HPLC fingerprint and content determination method of Jingu tongxiao pill are successfully established and can be used for quality control.

Objective To analysis the change of hip joint in healthy infants by ultrasound,and establish the normal reference value of the developmental dysplasia of the hip(DDH). Methods A total of 8 000 healthy infants from 0 to 24 weeks were collected from the Multi-center study of 10 children′s medical centers. Among them,3 855 infants(2 065 females and 1 790 males) with complete data and follow-up were included in this study. All subjects were divided into 6 groups ( ＜4,4～7,8～11,12～15,16～19 and≥20 weeks group). α angle,femoral head length and width,femoral head coverage ratio by acetabulum ( FHC) were measured in the coronal view on the neutral position;distance from pubis to femoral head ( P-H) and distance from ischium to femoral head ( I-H ) were measured in the transverse view on neutral position;distance from femoral head topubis ( H-P) was measured in the posterolateraltransverse view on the flexion position. The results of each group changes with age were analysised. Results ① The α angle of healthy infants from 0 to 20 weeks were increased with age,the difference among the groups were statistically significant( P ＜0.05),but there was no significant difference between 16～19 and ≥20 weeks group( P ＞0.05). ②The femoral head length and width of all age groups were increased with age,the difference among all the groups was statistically significant( all P ＜0.05). ③ FHC from 0 to 20 weeks were increased with age,the difference among the groups were statistically significant( P ＜0.05) except between 16～19 and ≥20 weeks group( P ＞0.05). ④ The P-H and I-H in all age groups showed no statistically significant ( all P＞0.05). ⑤The H-P of all age groups were increased with age,the difference between the groups were statistically significant(all P ＜0.05).Conclusions The development of hip joints have the certain regular developmental pattern in healthy infants less than 5 months of birth and are relatively constant after birth more than 5 months. The ultrasound normal reference value of the hip joints can be used for the early diagnosis of the DDH.