[Analysis on the ultrasonic characteristics of tonsillar lymphoma].

Objective: To analyze the ultrasonic features of tonsillar lymphoma to improve the diagnostic accuracy. Methods: The clinical, pathological and ultrasonic data of nine patients with tonsillar lymphoma confirmed by pathology at Tianjin Medical University Cancer Institute and Hospital during June 2015 and June 2022 were analyzed retrospectively, and the characteristics of their ultrasonic images were summarized. Results: All 9 cases of tonsil lymphoma were unilateral tonsil disease, including 4 cases on the left side and 5 cases on the right side. The average maximum diameter of tonsil lymphoma in 9 cases was 4.32 cm. There were 3 cases with simultaneous involvement of tonsil and cervical lymph nodes, all of which were ipsilateral lymph nodes. Gray scale ultrasound showed that the lesions were hypoechoic, with clear boundaries in 7 cases and unclear boundaries in 2 cases. The shape was full and irregular in 5 cases and oval in 4 cases. The echo was uniform in 7 cases and uneven in 2 cases. Color Doppler ultrasonography showed abundant internal blood flow signal in 1 case, a little dotted linear internal blood flow signal in 5 cases, and no obvious internal blood flow signal in 3 cases. Conclusions: The ultrasonic features of tonsillar lymphoma include hypoechoic area, clear boundary, full shape, irregular and uniform internal echo, no or low linear signal of internal blood flow. Ultrasonography is of great value in the diagnosis of this disease and can help clinical decision-making.

[SRSF2 promotes glioblastoma cell proliferation by inducing alternative splicing of FSP1 and inhibiting ferroptosis].

Objective: To investigate the effect of serine/arginine-rich splicing factor 2 (SRSF2) on ferroptosis and its possible mechanism in glioblastoma cells. Methods: The online database of gene expression profiling interactive analysis 2 (GEPIA 2) and Chinese Glioma Genome Atlas were used to analyze the expression of SRSF2 in glioblastoma tissue and its association with patients prognosis. To validate the findings of the online databases, the pathological sections of glioblastoma and non-tumor brain tissues from Tianjin Medical University General Hospital, Tianjin, China were collected and analyzed by using immunohistochemistry. Silencing SRSF2 gene expression in glioblastoma cells by siRNA was analyzed with Western blot. The proliferation index was detected by using CCK8 assay. The rescued experiment was conducted by using expression plasmid of pcDNA3.1(+)-SRSF2. The activity of ferroptosis was assessed by using the levels of iron ions and malondialdehyde in glioblastoma cells and the changes in the ratio of glutathione to oxidized glutathione. The changes of gene expression and differential pre-mRNA alternative splicing (PMAS) induced by SRSF2 were monitored by using the third-generation sequencing technology analysis, namely Oxford nanopore technologies (ONT) sequencing analysis. Results: SRSF2 expression was higher in glioblastoma tissues than non-tumor brain tissues. Immunohistochemistry also showed a positive rate of 88.48%±4.60% in glioblastoma tissue which was much higher than the 9.97%±4.57% in non-tumor brain tissue. The expression of SRSF2 was inversely correlated with overall and disease-free disease survivals (P<0.01). The proliferation index of glioblastoma cells was significantly reduced by silencing with SRSF2 siRNA (P<0.01) and could be reversed with transfection of exogenous SRSF2. The levels of intracellulariron ions and malondialdehyde increased (P<0.05), but the glutathione/oxidized glutathione ratio and the expression of key proteins in the glutathione pathway remained unchanged (P>0.05). ONT sequencing results showed that silencing SRSF2 in glioblastoma cells could induce a significant alternative 3' splice site change on ferroptosis suppressor protein 1 (FSP1). Conclusion: SRSF2 inhibits the ferroptosis in glioblastoma cells and promotes their proliferation, which may be achieved by regulating FSP1 PMAS.

Fall Detection System Based on Point Cloud Enhancement Model for 24 GHz FMCW Radar.

Automatic fall detection plays a significant role in monitoring the health of senior citizens. In particular, millimeter-wave radar sensors are relevant for human pose recognition in an indoor environment due to their advantages of privacy protection, low hardware cost, and wide range of working conditions. However, low-quality point clouds from 4D radar diminish the reliability of fall detection. To improve the detection accuracy, conventional methods utilize more costly hardware. In this study, we propose a model that can provide high-quality three-dimensional point cloud images of the human body at a low cost. To improve the accuracy and effectiveness of fall detection, a system that extracts distribution features through small radar antenna arrays is developed. The proposed system achieved 99.1% and 98.9% accuracy on test datasets pertaining to new subjects and new environments, respectively.

Three-Dimensional Fracture Analysis in Functionally Graded Materials Using the Finite Block Method in Strong Form.

In this paper, the application of the strong-form finite block method (FBM) to three-dimensional fracture analysis with functionally graded materials is presented. The main idea of the strong-form FBM is that it transforms the arbitrary physical domain into a normalized domain and utilizes the direct collocation method to form a linear system. Using the mapping technique, partial differential matrices of any order can be constructed directly. Frameworks of the strong-form FBM for three-dimensional problems based on Lagrange polynomial interpolation and Chebyshev polynomial interpolation were developed. As the dominant parameters in linear elastic fracture mechanics, the stress intensity factors with functionally graded materials (FGMs) were determined according to the crack opening displacement criteria. Several numerical examples are presented using a few blocks to demonstrate the accuracy and efficiency of the strong-form FBM.

Reentrance of interface superconductivity in a high-Tc cuprate heterostructure.

Increasing the carrier density in a Mott insulator by chemical doping gives rise to a generic superconducting dome in high temperature superconductors. An intriguing question is whether a second superconducting dome may exist at higher dopings. Here we heavily overdope La2-xSrxCuO4 (0.45 ≤ x ≤ 1.0) and discover an unprecedented reentrance of interface superconductivity in La2-xSrxCuO4 /La2CuO4 heterostructures. As x increases, the superconductivity is weakened and completely fades away at x = 0.8; but it revives at higher doping and fully recovers at x = 1.0. This is shown to be correlated with the suppression of the interfacial charge transfer around x = 0.8 and the weak-to-strong localization crossover in the La2-xSrxCuO4 layer. We further construct a theoretical model to account for the sophisticated relation between charge localization and interfacial charge transfer. Our work advances both the search for and control of new superconducting heterostructures.

Relationship between Social Support, Sarcopenia, and Cognitive Impairment in Chinese Community-Dwelling Older Adults.

BACKGROUND: Cognitive impairment and sarcopenia have become important challenges for the growing aging population. Social support has been shown to protect against cognitive impairment, but its impact on sarcopenia remains unknown. The purpose of this study was to explore the correlation between social support, sarcopenia, and cognitive impairment in Chinese older adults. METHOD: A multi-stage whole group sampling method was used to conduct a cross-sectional survey of 720 community-dwelling older people in Shanghai. The definition of sarcopenia was in accordance with the criteria of the Asian Working Group for Sarcopenia (AWGS) 2019. Cognitive impairment was evaluated using a computerized neuropsychological assessment device that had been previously validated. Social support was assessed using the Social Support Rate Scale. Logistic regression analyses were conducted to explore the relationship between social support cognitive impairment and sarcopenia, fully adjusting for all potential confounding factors. RESULTS: Our study found that 230 (31.94%) of the participants had cognitive impairment and 97 (13.47%) of the participants had sarcopenia. The mean social support score was 35.10 ± 7.54. Besides, the results showed that cognitive impairment was associated with sarcopenia (OR:1.650, 95% CI: 1.048, 2.596, P=0.030) after adjusting for confounding factors. Older adults with high level social support had the lowest risk of cognitive impairment (OR: 0.297, 95% CI: 0.115, 0.680, P=0.021) and sarcopenia (OR: 0.113, 95% CI: 0.031, 0.407, P=0.001), respectively. CONCLUSION: Our analysis revealed that high level social support was negatively associated with sarcopenia and cognitive impairment. These findings provide strong support for the health promotion effect of social networks against sarcopenia and cognitive impairment in Chinese community-dwelling older adults, with important implications for healthcare policy makers.

[Analysis of clinical effect and influencing factors of history-indicated cerclage or ultrasound-indicated cerclage in singleton pregnancy].

Objective: To investigate the clinical effect and the influencing factors of ultrasound-indicated cerclage and history-indicated cerclage in singleton gestation. Methods: The clinical data of 272 singleton pregnant women with cervical incompetence who underwent McDonald cervical cerclage due to medical history indication (history-indicated group) or ultrasound indication (ultrasound-indicated group) in Peking University First Hospital from January 2010 to February 2021 were retrospectively analyzed. The general clinical data and maternal and fetal outcomes were compared between the history-indicated group (141 cases) and ultrasound-indicated group (131 cases). According to the gestational age at delivery, 272 pregnant women who underwent cervical cerclage were further divided into ≥34 weeks group (225 cases) and <34 weeks group (47 cases), and the influencing factors of preterm birth before 34 weeks of gestation were analyzed. Results: (1) The median gestational age at cerclage was 16.6 weeks in the history-indicated group and 23.4 weeks in the ultrasound-indicated group, and the median gestational age extension at delivery was 21.4 weeks and 14.7 weeks, respectively, with statistically significant differences between the two groups (all P<0.05). (2) The full-term birth rate was 76.6% (108/141) in the history-indicated group and 71.0% (93/131) in the ultrasound-indicated group, the live birth rate was 97.2% (137/141) and 97.7% (128/131), and the median birth weight of live birth was 3 155 g and 3 055 g, respectively. The differences were not statistically significant (all P>0.05). Among 272 pregnant women with cervical cerclage, 265 neonates survived (97.4%, 265/272). The gestational age of 7 pregnant women who did not have live birth was ≤25 weeks of gestation (range: 19+1-25 weeks), and they were all clinically infected or confirmed chorioamnionitis or pathogenic microorganisms carrying during pregnancy, and their families gave up. The minimum birth weight of the surviving neonate was 850 g (gestational week of delivery was 26+6 weeks). (3) Univariate analysis showed that compared with ≥34 weeks group, the body mass index (BMI) of pregnant women in <34 weeks group was higher at 6-7 weeks of gestation (median: 24.5 vs 25.4 kg/m2), shorter cervical length (CL) at 1-2 weeks after surgery [(31.1±8.4) vs (26.1±11.0) mm], shorter CL at 26-28 weeks of gestation after surgery (median: 26.3 vs 16.0 mm), and higher incidence of elevated C-reactive protein (CRP) before and after surgery and before delivery. The differences were all statistically significant (all P<0.05). Multivariate logistic regression analysis showed that preterm birth before 34 weeks was negatively associated with CL at 26-28 weeks of gestation after cerclage (OR=0.902, 95%CI: 0.858-0.947; P<0.001), and was positively correlated with elevated CRP before delivery (OR=3.492, 95%CI: 1.652-7.381; P=0.001). There were no significant correlations between preterm birth and preoperative or postoperative CRP elevation, CL at 1-2 weeks after surgery, and BMI at 6-7 weeks of gestation (all P>0.05). Conclusions: Cervical cerclage for singleton pregnant women with cervical incompetence indicated by history or ultrasound both have good clinical efficacy, and there is no significant difference in maternal and fetal outcomes between the two groups. CL at 26-28 weeks of gestation and CRP before delivery are risk factors for preterm birth before 34 weeks of gestation after cervical cerclage.

[Research advances in preclinical models of oral mucosal melanoma].

Oral mucosal melanoma (OMM), a subtype of melanoma which is commonly found in the eastern Asian populations, progresses with unclear pathogenesis, high malignancy and poor prognosis. Constructing different types of preclinical models for OMM, which simulate clinical characteristics such as tumor invasion and metastasis, assists screening and efficacy-evaluation of drugs. This would promote personalized treatments for patients with OMM. However, lack of preclinical models makes one of the critical obstacles that hinder the recognition of mucosal melanoma and block the treatment breakthrough in mucosal melanoma. In recent years, certain progress has been made in the construction and application of OMM preclinical models. Various OMM preclinical models have been successfully constructed and carried out for further research, assisting in excavating personalized treatment strategies. In this review, we will summarize the latest progress in the researches on OMM preclinical models.

EEG Signal Epilepsy Detection With a Weighted Neighbor Graph Representation and Two-Stream Graph-Based Framework.

Epilepsy is one of the most common neurological diseases. Clinically, epileptic seizure detection is usually performed by analyzing electroencephalography (EEG) signals. At present, deep learning models have been widely used for single-channel EEG signal epilepsy detection, but this method is difficult to explain the classification results. Researchers have attempted to solve interpretive problems by combining graph representation of EEG signals with graph neural network models. Recently, the combination of graph representations and graph neural network (GNN) models has been increasingly applied to single-channel epilepsy detection. By this methodology, the raw EEG signal is transformed to its graph representation, and a GNN model is used to learn latent features and classify whether the data indicates an epileptic seizure episode. However, existing methods are faced with two major challenges. First, existing graph representations tend to have high time complexity as they generally require each vertex to traverse all other vertices to construct a graph structure. Some of them also have high space complexity for being dense. Second, while separate graph representations can be derived from a single-channel EEG signal in both time and frequency domains, existing GNN models for epilepsy detection can learn from a single graph representation, which makes it hard to let the information from the two domains complement each other. For addressing these challenges, we propose a Weighted Neighbour Graph (WNG) representation for EEG signals. Reducing the redundant edges of the existing graph, WNG can be both time and space-efficient, and as informative as its less efficient counterparts. We then propose a two-stream graph-based framework to simultaneously learn features from WNG in both time and frequency domain. Extensive experiments demonstrate the effectiveness and efficiency of the proposed methods.

Transcription factor OsSNAC1 positively regulates nitrate transporter gene expression in rice.

Nitrogen (N) is a critical factor for crop growth and yield. Improving N use efficiency (NUE) in agricultural systems is crucial for sustainable food production. However, the underlying regulation of N uptake and utilization in crops is not well known. Here, we identified OsSNAC1 (stress-responsive NAC 1) as an upstream regulator of OsNRT2.1 (nitrate transporter 2.1) in rice (Oryza sativa) by yeast 1-hybridization screening. OsSNAC1 was mainly expressed in roots and shoots and induced by N deficiency. We observed similar expression patterns of OsSNAC1, OsNRT2.1/2.2, and OsNRT1.1A/B in response to NO3- supply. Overexpression of OsSNAC1 resulted in increased concentrations of free NO3- in roots and shoots, as well as higher N uptake, higher NUE, and N use index (NUI) in rice plants, which conferred increased plant biomass and grain yield. On the contrary, mutations in OsSNAC1 resulted in decreased N uptake and lower NUI, which inhibited plant growth and yield. OsSNAC1 overexpression significantly upregulated OsNRT2.1/2.2 and OsNRT1.1A/B expression, while the mutation in OsSNAC1 significantly downregulated OsNRT2.1/2.2 and OsNRT1.1A/B expression. Y1H, transient co-expression, and ChIP assays showed OsSNAC1 directly binds to the upstream promoter regions of OsNRT2.1/2.2 and OsNRT1.1A/1.1B. In conclusion, we identified a NAC transcription factor in rice, OsSNAC1, with a positive role in regulating NO3- uptake through direct binding to the upstream promoter regions of OsNRT2.1/2.2 and OsNRT1.1A/1.1B and activating their expression. Our results provide a potential genetic approach for improving crop NUE in agriculture.

[Quality of psychomotility recovery after propofol sedation for painless gastroscopy and colonoscopy].

OBJECTIVE: To study the effect of propofol used for painless gastroscopy and colonoscopy on psychomotility recovery. METHODS: One hundred adult patients undergoing painless gastroscopy and colonoscopy were recruited, aged 18-72 years, with American Society of Anesthesiologist (ASA) physical status Ⅰ-Ⅱ. According to age, the patients were divided into youth group (20-39 years old, 27 cases), middle age group (40-54 years old, 37 cases), and elder group (55-64 years old, 36 cases). Propofol was continuously infused according to the patients' condition to mantain the bispectal index (BIS) score 55-64. All the patients received psychomotility assesment 30 min before the operations when the discharge criteria were met including number cancellation test, number connection test and board test. The heart rate, blood pressure, saturation of pulse oximetry, electrocardiograph and BIS were monitored during the operation. The operating time, recovery time, total volume of propofol and discharge time were recorded. If the results obtained were inferior to those before operation, a third assessment was taken 30 minutes later until the results recovered or being superior to the baseline levels. RESULTS: All the patients completed the first and second assessments, and 25 patients had taken the third assessment. There was no statistically significant difference in the results of psychomotility assessment when the patients met the discharge standard. Furthermore, the results were analyzed by grouping with age, and there was no statistical difference in the test results of the youth and middle age groups compared with the preoperative group, among which, the efficiency of the number cancellation test was significantly better than that before operation in the youth group (P < 0.05). However, in the elderly patients the number cancellation efficiency, number connection test and board test were significantly inferior to that before operation (P < 0.05). There was no significant difference in the accuracy of number cancellation compared with that before operation. The patients who needed the third test in the elder group were significantly more than in the other groups (P < 0.05). Compared with the preoperative results, there was no statistical difference in the test results of those who completed the third test. CONCLUSION: The psychomotility function of the patients who underwent painless gastroscopy and colonoscopy was recovered when they met discharge criteria. The elderly patients had a prolonged recovery period.

Strong magnetic anisotropy in PrRu2Ga8and PrCo2Al8single crystals.

Single crystals ofLnRu2Ga8andLnCo2Al8(Ln= La and Pr) were grown using a Ga/Al self-flux method. An orthorhombic CaCo2Al8-type structure with space groupPbam(No.55) of them was identified by x-ray diffraction. LaRu2Ga8and LaCo2Al8are Pauli paramagnetic down to 2 K, while PrRu2Ga8and PrCo2Al8show antiferromagnetic (AFM) order at 2.5 and 5 K, respectively. Strong magnetic anisotropy in PrRu2Ga8and PrCo2Al8single crystals was found by an anisotropic magnetic measurement. The field-induced FM state was observed in both PrRu2Ga8and PrCo2Al8forH||c. However, in the case of H⊥c, the AFM state is robust. The strong magnetic anisotropy in PrRu2Ga8FM and PrCo2Al8is due to their anisotropic magnetic interactions that FM interactions are dominant in the case ofH||cwhile AFM interactions forH⊥c.

Compensating for gyroradius effects in beamlines with small Helmholtz coils.

Measurements of lighter, low-energy charged particles in a laboratory beamline are complicated due to the influence of Earth's magnetic field. Rather than nulling out the Earth's magnetic field over the entire facility, we present a new way to correct particle trajectories using much more spatially limited Helmholtz coils. This approach is versatile and easy to incorporate in a wide range of facilities, including the existing ones, enabling measurements of low-energy charged particles in a laboratory beamline.

SSGCNet: A Sparse Spectra Graph Convolutional Network for Epileptic EEG Signal Classification.

In this article, we propose a sparse spectra graph convolutional network (SSGCNet) for epileptic electroencephalogram (EEG) signal classification. The goal is to develop a lightweighted deep learning model while retaining a high level of classification accuracy. To do so, we propose a weighted neighborhood field graph (WNFG) to represent EEG signals. The WNFG reduces redundant edges between graph nodes and has lower graph generation time and memory usage than the baseline solution. The sequential graph convolutional network is further developed from a WNFG by combining sparse weight pruning and the alternating direction method of multipliers (ADMM). Compared with the state-of-the-art method, our method has the same classification accuracy on the Bonn public dataset and the spikes and slow waves (SSW) clinical real dataset when the connection rate is ten times smaller.

[The beginnings and evolution of a pancreatic surgeon: a technical morphological analysis in first 5 years].

Objective: To explore the development of the pancreatic surgeon technique in a high-volume center. Methods: A total of 284 cases receiving pancreatic surgery by a single surgeon from June 2015 to December 2020 were retrospectively included in this study. The clinical characteristics and perioperative medical history were extracted from the medical record system of Zhongshan Hospital,Fudan University. Among these patients,there were 140 males and 144 females with an age (M (IQR)) of 61.0 (16.8) years(range: 15 to 85 years). The "back-to-back" pancreatic- jejunal anastomosis procedure was used to anastomose the end of the pancreas stump and the jejunal wall. Thirty days after discharge,the patients were followed by outpatient follow-up or telephone interviews. The difference between categorical variables was analyzed by the Chi-square test or the CMH chi-square test. The statistical differences for the quantitative data were analyzed using one-way analysis of variance or Kruskal-Wallis H test and further analyzed using the LSD test or the Nemenyi test,respectively. Results: Intraoperative blood loss in pancreaticoduodenectomy between 2015 and 2020 were 300,100(100),100(100),100(0),100(200) and 150 (200) ml,respectively. Intraoperative blood loss in distal pancreatectomy was 250 (375),100 (50),50 (65), 50 (80),50 (50),and 50 (100) ml,respectively. Intraoperative blood loss did not show statistical differences in the same operative procedure between each year. The operative time for pancreaticoduodenectomy was respectively 4.5,5.0(2.0),5.5(0.8),5.0(1.3),5.0(3.3) and 5.0(1.0) hours in each year from 2015 to 2020,no statistical differences were found between each group. The operating time of the distal pancreatectomy was 3.8 (0.9),3.0 (1.5),3.0 (1.8),2.0 (1.1),2.0 (1.5) and 3.0(2.0) hours in each year,the operating time was obviously shorter in 2018 compared to 2015 (P=0.026) and 2020 (P=0.041). The median hospital stay in 2020 for distal pancreatectomy was 3 days shorter than that in 2019. The overall incidence of postoperative pancreatic fistula gradually decreased,with a incident rate of 50.0%,36.8%,31.0%,25.9%,21.1% and 14.8% in each year. During this period,in a total of 3,6,4,2,0 and 20 cases received laparoscopic operations in each year. The incidence of clinically relevant pancreatic fistula (grade B and C) gradually decreased,the incident rates were 0,4.8%,7.1%,3.4%,4.3% and 1.4%,respectively. Two cases had postoperative abdominal bleeding and received unscheduled reoperation. The overall rate of unscheduled reoperation was 0.7%. A patient died within 30 days after the operation and the overall perioperative mortality was 0.4%. Conclusion: The surgical training of a high-volume center can ensure a high starting point in the initial stage and steady progress of pancreatic surgeons,to ensure the safety of pancreatic surgery.

[Clinical and pathological features and differential diagnosis of fibro-osseous tumors and dysplasias].

Fibro-osseous lesions is a class of diseases with obvious similarities in clinical manifestations and pathological features, which has been attracting the attention of clinicians and pathologists. The latest WHO 2022 Classification (5th edition) included six of these diseases (cemento-osseous dysplasia, segmental odontomaxillary dysplasia, fibrous dysplasia, juvenile trabecular ossifying fibroma, psammomatoid ossifying fibroma and familial gigantiform cementoma) in the " fibro-osseous tumours and dysplasias ", and put forward new ideas on the diagnosis and treatment of these diseases. According to the latest WHO 2022 Classification (5th edition), the clinical and pathological features, diagnosis and differential diagnosis of these six diseases were described.

[Nontuberculous mycobacteria infection and pulmonary alveolar proteinosis in a patient with hematopoietic defects].

A 28-year-old male with a history of leukopenia was admitted with complaints of fever, cough, and dyspnea for 3 months. Initial work-up identified reduced circulating levels of granulocytes, monocytes, lymphocytes, and NK cells. Computed tomography revealed bilateral reticulonodular opacities and mediastinal lymph node enlargement. Peripheral blood culture and mediastinal lymph node aspiration yielded Mycobacterium avium. Genetic testing revealed a heterozygous germline GATA2 mutation (c.1187G>A, R396Q). Despite standard anti-mycobacterial therapy, the patient's dyspnea worsened and subsequent imaging studies revealed diffuse ground-glass opacification. A transbronchial lung biopsy confirmed the development of pulmonary alveolar proteinosis. Bone marrow transplantation had not been performed due to the unavailability of suitable donors. The disease progressed after whole lung lavage, and the patient died at the age of 31 years from respiratory failure. The current case report emphasized the importance of raising awareness about the rare GATA2 deficiency, which is characterized by hematologic abnormalities, primary immunodeficiency, and pulmonary alveolar proteinosis.

[Research progress of tunneling nanotube in bone biology].

Tunneling nanotube (TNT) is a newly discovered communication mode between animal cells in recent years, which have important physiological and pathological significance. However, the role of TNT in bone biology is still unclear. At present, there are many reports about tunneling nanotubes in bone marrow mesenchymal stem cells, osteoclast precursor cells, osteoblasts and immune cells. This review describes the research advances of TNT and its research progress in bone biology. It looks forward to the research direction of TNT in oral and maxillofacial bone development and bone biology, to provide new strategies for the maintenance of bone homeostasis and the treatment of bone diseases.

Response of sugar metabolism in the cotyledons and roots of Ricinus communis subjected to salt stress.

Ricinus communis is an important oilseed crop worldwide and is also considered one of the best potential plants for salt-affected soil improvement in northeast China. However, little is known about photosynthesis and carbohydrate metabolism in this plant, nor the distribution of carbohydrates in cotyledons and roots under salinity stress. In the present study, seedling growth, gas exchange parameters (PN , E, gs and Ci ), carbohydrate (fructose, sucrose, glucose, soluble sugar and starch) metabolism and related enzymes and genes were measured in Ricinus plants. Under salt stress, PN of cotyledons decreased significantly (P < 0.05), resulting in weak photosynthetic capacity. Furthermore, salt stress increased sucrose and glucose content in cotyledons, but decreased soluble sugar and starch content. However, sucrose increased and starch decreased in roots. This may be correlated with the increasing sugar metabolism under salinity, including notable changes in sugar-related enzyme activities (SPS, SuSy, α-amylase and ß-amylase) and gene expression of RcINV, RcSUS, RcAmY, RcBAM and RcGBE1. The results suggest that salinity reduces photosynthesis of cotyledons, alters carbohydrate allocation between cotyledons and roots and also promotes starch utilization in cotyledons and starch biosynthesis in roots, leading to a functional imbalance between cotyledons and roots. Together, these findings provide insights into the crucial role of sugar metabolism in improving salt-tolerance of Ricinus during the early seedling growth stage.

[Study of the predictive role of serum HBV RNA on HBeAg serological conversion in children with chronic hepatitis B].

Objective: To investigate the role of serum hepatitis B virus RNA (HBV RNA) in predicting HBeAg serological conversion in children with chronic hepatitis B. Methods: 175 children aged 1~17 years with chronic hepatitis B who received interferon α (IFNα) for 48 weeks were selected. Patients were divided into HBeAg seroconversion and non-conversion based on whether HBeAg seroconversion occurred at 48 weeks of treatment.T-test and Mann-Whitney U test were used to compare between groups; chisquare test or Fisher exact probability method was used to compare the frequency between groups of classified variables; and Pearson correlation was used to analyze the correlation between indicators. Univariate and multivariate logistic regression analyses were used to identify influencing factors associated with HBeAg serological conversion. The predictive effect of HBV RNA, HBV DNA, and HBsAg on HBeAg serological conversion was compared and analyzed by the receiver operating characteristic curve (ROC). Results: The seroconversion rate of HBeAg at 48 weeks was 36.0% (63/175). The reduction in HBVRNA levels from baseline to the 12th, 24th, 36th, and 48th weeks of antiviral therapy was significantly greater in the HBeAg serological conversion group than that in the non-conversion group, and the difference was statistically significant between the two groups (P < 0.05). Univariate and multivariate regression analyses showed that age and a decline in HBV RNA levels at week 12 were independent predictors of HBeAg serological conversion. The area under the ROC curve (AUROC) of HBV RNA decline at week 12 was 0.677(95% CI∶0.549-0.806, P = 0.012), which was significantly better than the same period of AUROC of HBV DNA (0.657, 95% CI∶0.527-0.788, P = 0.025) and HBsAg (0.660, 95% CI∶0.526-0.795, P = 0.023) decline. HBV RNA levels decreased (>1.385 log10 copies/ml) at week 12, with a positive predictive value of 53.2%, a negative predictive value of 72.2%, a sensitivity of 77.4%, and a specificity of 57.9% for HBeAg seroconversion. Conclusion: HBV RNA level lowering during the 12th week of antiviral therapy can serve as an early predictor marker for HBeAg serological conversion in children with chronic hepatitis B.