Dietary vitamin A modifies the gut microbiota and intestinal tissue transcriptome, impacting intestinal permeability and the release of inflammatory factors, thereby influencing Aß pathology.

Background: Alzheimer's disease (AD) is an age-related neurodegenerative disorder with no effective interventions for curing or modifying its progression. However, emerging research suggests that vitamin A in the diet may play a role in both the prevention and treatment of AD, although the exact mechanisms are not fully understood. Objectives: This study aims to investigate the dietary vitamin A modifies the gut microbiota and intestinal tissue transcriptome, impacting intestinal permeability and the release of inflammatory factors, thereby influencing Aß pathology shedding light on its potential as a dietary intervention for AD prevention and treatment. Methods: The APP/PS1-AD mouse model was employed and divided into three dietary groups: vitamin A-deficient (VAD), normal vitamin A (VAN), and vitamin A-supplemented (VAS) for a 12-week study. Neurobehavioral functions were assessed using the Morris Water Maze Test (MWM). Enzyme-linked immunosorbent assay (ELISA) was used to quantify levels of Diamine Oxidase (DAO), D-lactate, IL-6, IL-1ß, and TNF-a cytokines. Serum vitamin A levels were analyzed via LC-MS/MS analysis. Immunohistochemical analysis and morphometry were performed to evaluate the deposition of Aß in brain tissue. The gut microbiota of APP/PS1 mice was analyzed using 16S rRNA sequencing analysis. Additionally, transcriptomic analysis was conducted on intestinal tissue from APP/PS1 mice. Results: No significant changes in food intake and body weight were observed among the groups. However, the VAD and VAS groups showed reduced food intake compared to the VAN group at various time points. In terms of cognitive function, the VAN group performed better in the Morris Water Maze Test, indicating superior learning and memory abilities. The VAD and VAS groups exhibited impaired performance, with the VAS group performing relatively better than the VAD group. Serum vitamin A concentrations differed significantly among the groups, with the VAS group having the highest concentration. Aß levels were significantly higher in the VAD group compared to both the VAN and VAS groups. Microbial analysis revealed that the VAS and VAN groups had higher microbial diversity than the VAD group, with specific taxa characterizing each group. The VAN group was characterized by taxa such as Actinohacteriota and Desulfovibrionaceae, while the VAD group was characterized by Parabacteroides and Tannerellaceae. The VAS group showed similarities with both VAN and VAD groups, with taxa like Desulfobacterota and Desulfovibrionaceae being present. The VAD vs. VAS, VAD vs. VAN, and VAS vs. VAN comparisons identified 571, 313, and 243 differentially expressed genes, respectively, which associated with cellular and metabolic processes, and pathway analysis revealed enrichment in pathways related to chemical carcinogenesis, drug metabolism, glutathione metabolism, and immune-related processes. The VAD group exhibited higher levels of D-lactate, diamine oxidase, and inflammatory cytokines (TNF-a, IL-1ß, IL-6) compared to the VAN and VAS groups. Conclusion: Dietary vitamin A supplementation modulates the gut microbiota, intestinal permeability, inflammatory factors, and Aß protein formation, offering insights into the pathogenesis of AD and potential therapeutic avenues for further exploration. This research highlights the intricate interplay between diet, gut microbiota, and neurodegenerative processes, emphasizing the importance of dietary interventions in managing AD-related pathologies.

Machine Learning-Based Prediction of Complications and Prolonged Hospitalization with the GLIM Criteria Combinations Containing Calf Circumference in Elderly Asian Patients.

BACKGROUND AND AIMS: Malnutrition is widely present and influences the prognosis of elderly inpatients, so it is helpful to be able to identify it with a convenient method. However, in the widely accepted criteria for malnutrition, the Global Leadership Initiative on Malnutrition (GLIM), a lot of metrics can be used to define the phenotypic and etiological criteria. To identify muscle mass reduction, anthropometric parameters such as calf circumference (CC) and hand grip strength (HGS) are preferable to other expensive methods in many situations because they are easy and inexpensive to measure, but their applicability needs to be verified in specific clinical scenarios. This study aims to verify the value of CC- and HGS-identified muscle loss in diagnosing malnutrition and predicting in-hospital complications (IHC) and prolonged length of hospital stay (PLOS) in elderly inpatients using machine learning methods. METHODS: A sample of 7122 elderly inpatients who were enrolled in a previous multicenter cohort study in China were screened for eligibility for the current study and were then retrospectively diagnosed for malnutrition using 33 GLIM criteria that differ in their combinations of phenotypic and etiological criteria, in which CC or CC+HGS were used to identify muscle mass reduction. The diagnostic consistency with the subjective global assessment (SGA) criteria at admission was evaluated according to Kappa coefficients. The association and the predictive value of the GLIM-defined malnutrition with 30-day IHC and PLOS were evaluated with logistic regression and randomized forest models. RESULTS: In total, 2526 inpatients (average age 74.63 ± 7.12 years) were enrolled in the current study. The prevalence of malnutrition identified by the 33 criteria combinations ranged from 3.3% to 27.2%. The main IHCs was infectious complications (2.5%). The Kappa coefficients ranged from 0.130 to 0.866. Logistic regression revealed that malnutrition was identified by 31 GLIM criteria combinations that were significantly associated with 30-day IHC, and 22 were significantly associated with PLOS. Random forest prediction revealed that GLIM 15 (unconscious weight loss + muscle mass reduction, combined with disease burden/inflammation) performs best in predicting IHC; GLIM 30 (unconscious weight loss + muscle mass reduction + BMI reduction, combined with disease burden/inflammation) performs best in predicting PLOS. Importantly, CC alone performs better than CC+HGS in the criteria combinations for predicting adverse clinical outcomes. CONCLUSION: Muscle mass reduction defined by a reduced CC performs well in the GLIM criteria combinations for diagnosing malnutrition and predicting IHC and PLOS in elderly Asian inpatients. The applicability of other anthropometric parameters in these applications needs to be further explored.

The mechanism of simultaneous intake of Jujuboside A and B in the regulation of sleep at the hypothalamic level.

To study the effect of co-administration of Jujuboside A and B (Ju A+B) on sleep, healthy KM mice were given different doses of Ju A+B with a behavioral evaluation of sleep state. Serum levels of key neurotransmitters (5HT, DA, and NE) were measured. The hypothalamus of KM mice was analyzed for differential protein expression using TMT quantitative proteomics, and differential expression protein (DEP) bioinformatics analysis was used to explore potential mechanisms. The result shows that Ju A+B affects sleep by expressing the protein in the hypothalamus. Compared with the control group, the test group showed 10 up-regulated and 139 down-regulated DEPs. The key DEPs were found at the tight junction. Western blot showed reliable alteration of the key DEPs in proteomics. The result of interaction network analysis attributed the potential of Jujuboside to the changes in blood-brain barrier, which provided basic and theoretical data for the efficacy evaluation and mechanism of Jujuboside.

A Dual-Axis Rotation Scheme for Redundant Rotational Inertial Navigation System.

A redundant rotational inertial navigation system (RRINS) comprises a redundant inertial measurement unit (RIMU) and a turntable for improving reliability and navigation accuracy. Because of the multi-sensor configuration, the RIMU has a more complex error model compared with the traditional orthogonal inertial measurement unit (IMU). Therefore, the RIMU-based rotation scheme cannot simply replicate the traditional IMU-based rotation scheme. In this study, a dual-axis rotation scheme for RIMU characteristics is proposed. First, the error model of the RIMU was established, and the error compensation of RIMU caused by rotation was analyzed. Second, the principles of rotation axis switching and reciprocating rotation were summarized, and a dual-axis rotation scheme was designed by these principles. Finally, the rotation scheme was applied to an RRINS prototype consisting of RIMU (four fiber optic gyroscopes + four quartz accelerometers) and a dual-axis turntable, and then simulations and experiments were performed. The results of the simulations and experiments show that the positioning accuracy of RRINS can be obviously improved by using the proposed rotation scheme.

Effect of radiofrequency radiation from 5G mobile phone on blood-brain barrier in mice / 中华放射医学与防护杂志

Objective:To investigate the effect of radiofrequency radiation (RF) from 5G mobile phone communication frequency bands (3.5 GHz and 4.9 GHz) on the permeability of the blood-brain barrier (BBB) in mice.Methods:A total of 24 healthy adult male C57BL/6 mice (6-8 weeks old) were randomly divided into Sham, 3.5 GHz RF and 4.9 GHz RF groups, and 8 mice in each group. Mice in the RF groups were systemically exposed to 5G cell phone radiation for consecutive 35 d(1 h/d) with 50 W/m 2 power density. The BBB permeability of mice was detected by Evans Blue (EB) fluorescence experiment. The expression levels of the BBB tight junction-related proteins (ZO-1, occludin and claudin-11) and the gap junction-related protein Connexin 43 were determined by Western blot. Results:The number of spots, fluorescence intensity and comprehensive score of EB were significantly increased in 3.5 GHz RF group and 4.9 GHz RF group compared with the Sham group ( t=12.98, 17.82, P<0.001). Compared with the Sham group, the content of S100B in mouse serum was significantly increased in 3.5 GHz RF group and 4.9 GHz RF group ( t=19.34, 14.68, P<0.001). The BBB permeability was increased in the RF group. The expression level of occludin protein was significantly reduced in the 3.5 GHz RF group ( t=-3.13, P<0.05), and this decrease was much profound in the 4.9 GHz RF group ( t=-6.55, P<0.01). But the protein levels of ZO-1, Claudin-11 and Connexin 43 in the cerebral cortex of the RF groups had no significantly difference in comparison with the Sham group( P>0.05). Conclusions:The continuous exposure of mobile phone RF at 3.5 GHz or 4.9 GHz for 35 d (1 h/d) induces an increase of BBB permeability in the mouse cerebral cortex, perhaps by reducing the expression of occludin protein.

Progress in application of suture anchor in rotator cuff injury / 中国医师杂志

Rotator cuff injury is the most important cause of shoulder joint pain and dysfunction. In recent years, the incidence of rotator cuff injuries has gradually increased, reaching 30%-50% in people >50 years old. In the clinical treatment of rotator cuff injuries, suture anchors are widely used to fix the tendon to the bone and keep it in place without loosening or moderate tension until physiological healing is completed. The materials of suture anchors are constantly updated in clinical practice and have undergone the evolution of metal suture anchors, biodegradable suture anchors, biostable suture anchors, biocomposite suture anchors, and all suture anchors.This article reviews the advantages and disadvantages of anchors of various materials reported in domestic and foreign literatures.

Analysis of eight Murraya species by flow injection-Qtrap-mass spectrometry / 药学学报

In this study, the flow injection (FI) technology combined with the unique step wise multiple ions monitoring scanning (step-wise MIM) mode of Qtrap-MS was first established for the identification and discrimination of eight Murraya species. It only takes 5 min for each sample to detect approximate 600 compounds. The characteristic MS chromatograms of eight Murraya plants were analyzed by Analyst and SIMCA-P. The results of PCA showed that sect. Murraya and sect. Bergera were clearly divided into two categories, suggesting that there is difference in the chemical compositions between these two groups. Further detail analysis of the MS data could realize the preliminary structure elucidation of the component types contained in different plants. The main components in M. exotica and M. alata are coumarins, and polymethoxyflavones are rich in M. paniculata, while carbazole alkaloids are the major ones in sect. Bergera plants. The results are consistent with our previous comprehensive analysis of the chemical components of Murraya species. In conclusion, our research confirmed that FI-Qtrap-MS technology can be used for rapid identification and differentiation of similar plant species, providing reference for chemical taxonomy and a new method for the quality evaluation of medicinal materials.

Comparative study on the theme of traditional Chinese medicine policies among different provinces of China / 中国药房

OBJECTIVE To clarify the core content of traditional Chinese medicine （TCM） policy in the provinces of China， so as to provide reference for optimizing the structure of the policy system of traditional Chinese medicine in China and assisting the inheritance and innovation of TCM industry in various regions. METHODS The websites of directly affiliated organs in 31 provinces， excluding Hong Kong， Macao and Taiwan， were retrieved to collect the TCM policies released from 2000 to 2021. The importance of keywords in the TCM policies of each province was measured based on term frequency-inverse documentation frequency （TF-IDF） keyword extraction method， and the similarities and differences were analyzed among TCM policies. RESULTS & CONCLUSIONS A total of 99 documents related to TCM policies of various provinces were obtained in this study， most of which were released after 2016. The theme of national TCM policy covered four aspects： building TCM talent team， perfecting TCM service system， strengthening TCM resource management and promoting TCM industry innovation. The TF-IDF values of “medical institutions”“traditional Chinese medicine”“medical treatment” were higher than other keywords in each province， indicating that the provinces paid more attention to the construction of TCM service system and the management of TCM resources than other aspects. Anhui and Jiangsu， Beijing and Henan， Hubei and Jilin， Hubei and Tianjin， and Hubei and Yunnan had the more degree of similarity in TCM policies， which all contained 16 of the same keywords. Therefore， the above regions should be encouraged to strengthen exchanges and cooperation and realize mutual promotion and joint development. Among all the keywords whose importance ratio was greater than 0.2，“ Tibetan medicine” was unique to Qinghai and Tibet，“ disease type” was unique to Guangdong， and the TF-IDF value of “supervision and management” in Beijing was higher， indicating that the emphasis of TCM policy formulation in different provinces was various. Meanwhile， the top 10 keywords of TF- IDF value in all provinces did not have words related to financial input， and the TF-IDF values of “informatization” in most provinces did not rank at the top. It is suggested to increase financial input or encourage social financing， and add “Internet+new business” in the field of TCM.

Mechanism of heat-clearing prescriptions in alleviating type 2 diabetes mellitus:a review / 中国中药杂志

Type 2 diabetes mellitus(T2DM), a common chronic metabolic disease, is often accompanied by internal heat syndrome. Heat-clearing prescriptions are widely used to treat different heat syndromes of T2DM from the aspects of clearing stagnant heat, excess heat, damp heat, phlegm heat, and heat toxin, demonstrating remarkable effects. The mechanism of blood sugar-lowering agents has always been a hotspot of research. Recently, the basic studies of heat-clearing prescriptions from different perspectives have been increasing year by year. To clarify the mechanisms of heat-clearing prescriptions and find specific mechanisms, we systematically reviewed the basic studies of heat-clearing prescriptions commonly used for the treatment of T2DM in the past decade, intending to provide a reference for related research.

Role of melatonin receptor 1B gene polymorphism and its effect on the regulation of glucose transport in gestational diabetes mellitus / 浙江大学学报（英文版）（B辑：生物医学和生物技术）

Melatonin receptor 1B (MT2, encoded by the MTNR1B gene), a high-affinity receptor for melatonin, is associated with glucose homeostasis including glucose uptake and transport. The rs10830963 variant in the MTNR1B gene is linked to glucose metabolism disorders including gestational diabetes mellitus (GDM); however, the relationship between MT2-mediated melatonin signaling and a high birth weight of GDM infants from maternal glucose abnormality remains poorly understood. This article aims to investigate the relationship between rs10830963 variants and GDM development, as well as the effects of MT2 receptor on glucose uptake and transport in trophoblasts. TaqMan-MGB (minor groove binder) probe quantitative real-time polymerase chain reaction (qPCR) assays were used for rs10930963 genotyping. MT2 expression in the placenta of GDM and normal pregnant women was detected by immunofluorescence, western blot, and qPCR. The relationship between MT2 and glucose transporters (GLUTs) or peroxisome proliferator-activated receptor γ (PPARγ) was established by western blot, and glucose consumption of trophoblasts was measured by a glucose assay kit. The results showed that the genotype and allele frequencies of rs10830963 were significantly different between GDM and normal pregnant women (P<0.05). The fasting, 1-h and 2-h plasma glucose levels of G-allele carriers were significantly higher than those of C-allele carriers (P<0.05). Besides, the protein and messenger RNA (mRNA) expression of MT2 in the placenta of GDM was significantly higher than that of normal pregnant women (P<0.05). Melatonin could stimulate glucose uptake and GLUT4 and PPARγ protein expression in trophoblasts, which could be attenuated by MT2 receptor knockdown. In conclusion, the rs10830963 variant was associated with an increased risk of GDM. The MT2 receptor is essential for melatonin to raise glucose uptake and transport, which may be mediated by PPARγ.

Machine Learning-Based Prediction of In-Hospital Complications in Elderly Patients Using GLIM-, SGA-, and ESPEN 2015-Diagnosed Malnutrition as a Factor.

BACKGROUND: Malnutrition is prevalent in elderly inpatients and is associated with various adverse outcomes during their hospital stay, but the diagnosis of malnutrition still lacks widely applicable criteria. This study aimed to investigate the association of malnutrition diagnosed with the SGA, ESPEN 2015, and GLIM criteria, respectively, with in-hospital complications in elderly patients. METHOD: Hospitalized patients over 65 years old who had been assessed with the SGA guideline for malnutrition at admission were retrospectively recruited from a large observational cohort study conducted in 34 level-A tertiary hospitals in 18 cities in China from June to September 2014. Malnutrition was then retrospectively diagnosed using the GLIM and ESPEN 2015 criteria, respectively, for comparison with the results of the SGA scale. The risk factors for malnutrition were analyzed using logistic regression, and the value of the three diagnostic criteria in predicting the in-hospital complications was subsequently explored using multivariate regression and the random forest machine learning algorithm. RESULTS: A total of 2526 subjects who met the inclusion and exclusion criteria of the study were selected from the 7122 patients in the dataset, with an average age of 74.63 ± 7.12 years, 59.2% male, and 94.2% married. According to the GLIM, SGA, and ESPEN 2015 criteria, the detection rates of malnutrition were 37.8% (956 subjects), 32.8% (829 subjects), and 17.0% (429 subjects), respectively. The diagnostic consistency between the GLIM and the SGA criteria is better than that between the ESPEN 2015 and the SGA criteria (Kappa statistics, 0.890 vs. 0.590). Logistic regression showed that the risk of developing complications in the GLIM-defined malnutrition patients is 2.414 times higher than that of normal patients, higher than those of the ESPEN 2015 and SGA criteria (1.786 and 1.745 times, respectively). The random forest classifications show that the GLIM criteria have a higher ability to predict complications in these elderly patients than the SGA and ESPEN 2015 criteria with a mean decrease in accuracy of 12.929, 10.251, and 5.819, respectively, and a mean decrease in Gini of 2.055, 1.817, and 1.614, respectively. CONCLUSION: The prevalence of malnutrition diagnosed with the GLIM criteria is higher than that of the SGA and the ESPEN 2015 criteria. The GLIM criteria are better than the SGA and the ESPEN 2015 criteria for predicting in-hospital complications in elderly patients.

Economic growth, technology, and CO2 emissions in BRICS: Investigating the non-linear impacts of economic complexity.

Upgrading economic structures and producing less pollution-intensive goods are indispensable for achieving Sustainable Development Goals (SDGs) in BRICS (Brazil, Russia, India, China, and South Africa) that produce 41% of global CO2 emissions. Economic complexity (ECC), which measures the sophistication of productivity and economic structure, has important environmental repercussions. Theoretically, the environmental impacts of economic complexity at higher levels and lower levels of complexity vary from each other. However, the majority of previous studies have overlooked these theoretical underpinnings while assessing the environmental repercussions of economic complexity. In addition, technological competencies are necessary to boost the economic complexity levels. Accordingly, this study uncovers the non-linear effects of economic complexity on CO2 emissions including technology, population density, and economic growth in a STIRPAT model. To this end, the panel data from 1992 to 2018 is analyzed using the Continuously Updated Fully Modified method (CuP-FM) in the context of BRICS. The long-run results uncovered that CO2 emissions intensify at a lower level of economic complexity. On the flip side, a higher level of economic complexity is beneficial in mitigating CO2 in BRICS. Hence, the economic complexity and CO2 connections follow an inverted U-shaped curve. The results also disclosed that expanding the level of technology lessens CO2 and stimulates the quality of the environment. Further, population density and economic growth are evidenced to intensify CO2. Moreover, economic complexity and technology Granger cause CO2. Lastly, strategies are directed in the context of Sustainable Development Goals 9 and 13 to control CO2 emissions by upgrading technology and products complexity.

Engineering SARS-CoV-2 cocktail antibodies into a bispecific format improves neutralizing potency and breadth

One major limitation of neutralizing antibody-based COVID-19 therapy is the requirement of costly cocktails to reduce antibody resistance. We engineered two bispecific antibodies (bsAbs) using distinct designs and compared them with parental antibodies and their cocktail. Single molecules of both bsAbs block the two epitopes targeted by parental antibodies on the receptor-binding domain (RBD). However, bsAb with the IgG-(scFv)2 design (14-H-06) but not the CrossMAb design (14-crs-06) increases antigen-binding and virus-neutralizing activities and spectrum against multiple SARS-CoV-2 variants including the Omicron, than the cocktail. X-ray crystallography and computational simulations reveal distinct neutralizing mechanisms for individual cocktail antibodies and suggest higher inter-spike crosslinking potentials by 14-H-06 than 14-crs-06. In mouse models of infections by SARS-CoV-2 and the Beta, Gamma, and Delta variants, 14-H-06 exhibits higher or equivalent therapeutic efficacy than the cocktail. Rationally engineered bsAbs represent a cost-effective alternative to antibody cocktails and a promising strategy to improve potency and breadth.

A base-mediated aerobic oxidative synthesis of cyclopent-2-enol derivatives from doubly activated cyclopropanes and substituted acetonitriles.

We report here that polysubstituted cyclopent-2-enols can be constructed by the one-pot reaction of doubly activated cyclopropanes and α-EWG substituted acetonitriles under mild basic conditions via a domino-ring-opening-cyclization/deacylation/oxidation sequence. Moreover, the synthetic applications of these cyclopent-2-enols have been demonstrated in the late-stage derivatization into functionalized cyclopentapyrimidin-4-ones and 2-hydroxy cyclopentanones with good yields.

A highly efficient protein corona-based proteomic analysis strategy for the discovery of pharmacodynamic biomarkers / 药物分析学报

The composition of serum is extremely complex,which complicates the discovery of new pharmaco-dynamic biomarkers via serum proteome for disease prediction and diagnosis.Recently,nanoparticles have been reported to efficiently reduce the proportion of high-abundance proteins and enrich low-abundance proteins in serum.Here,we synthesized a silica-coated iron oxide nanoparticle and devel-oped a highly efficient and reproducible protein corona(PC)-based proteomic analysis strategy to improve the range of serum proteomic analysis.We identified 1,070 proteins with a median coefficient of variation of 12.56％using PC-based proteomic analysis,which was twice the number of proteins iden-tified by direct digestion.There were also more biological processes enriched with these proteins.We applied this strategy to identify more pharmacodynamic biomarkers on collagen-induced arthritis(CIA)rat model treated with methotrexate(MTX).The bioinformatic results indicated that 485 differentially expressed proteins(DEPs)were found in CIA rats,of which 323 DEPs recovered to near normal levels after treatment with MTX.This strategy can not only help enhance our understanding of the mechanisms of disease and drug action through serum proteomics studies,but also provide more pharmacodynamic biomarkers for disease prediction,diagnosis,and treatment.

LncRNA Prognostic Risk Scoring Model for Gastrointestinal Tumors Based on TCGA Database / 肿瘤防治研究

Objective To establish a lncRNA prognostic risk model for gastrointestinal tumors based on the TCGA database and evaluate the prognosis of patients. Methods We collected the data of patients with esophageal cancer, gastric cancer, colon cancer and rectal cancer in the TCGA database. Univariate Cox analysis, Lasso and multivariate Cox analysis were performed to construct the prognostic risk scoring model. The model was validated and tested for independence. Time-dependent ROC curve analysis was performed to evaluate the clinical application value of the model. Results We established a prognostic risk model based on 13 lncRNAs. The three-year AUC of the training set and the validation set were 0.746 and 0.704, respectively. The pan-cancer data set was divided into high- and low-risk groups for survival analysis. The 5-year survival rate of the low-risk group was significantly higher than that of the high-risk group; among all cancer types, the five-year survival rates of the low-risk group were higher than those of the high-risk group. Multivariate Cox analysis showed that the risk score could be an independent indicator of prognosis. Conclusion The 13-gene prognostic risk score model is constructed successfully. The risk score obtained by this model can be used as an independent prognostic predictor of the patients with gastrointestinal cancer.

Molecular biological characteristics of the 2019 novel Coronavirus in Shijiazhuang / 中华检验医学杂志

Objective:To analyze the molecular epidemiological characteristics of the Corona virus disease 2019 (COVID-19) cases in Shijiazhuang, which can reveal the origin of the outbreak and provide a scientific basis for COVID-19 prevention and control.Methods:From January 2 to January 8, 2021, a total of 404 samples from 170 COVID-19 cases were collected from the Shijiazhuang Fifth Hospital. The consensus sequence of 2019 novel Coronavirus(2019-nCoV) was obtained through multiplex polymerase chain reaction-based sequencing. The sequences of 170 COVID-19 cases were analyzed by the PANGOLIN, and the data were statistically analyzed by T-test.Results:Among the 404 COVID-19 samples, a total of 356 samples obtained high quality genome sequences (>95%,100×sequencing depth). The whole genome sequences of 170 COVID-19 cases were obtained by eliminating repeated samples. All 170 sequences were recognized as lineage B1.1 using PANGOLIN. The number of single nucleotide polymorphism arrange from 18-22 and most of the single nucleotide polymorphism were synonymous variants. All of 170 genomes could be classified into 48 sub-groups and most of the genomes were classified into 2 sub-groups (66 and 31, respectively).Conclusions:All cases in this study are likely originated from one imported case. The viruses have spread in the community for a long time and have mutated during the community transmission.

Predictive value of serum N-terminal pro-B-type natriuretic peptide concentration for postoperative acute kidney injury in neonates undergoing cardiac surgery: based on pROCK criteria / 中华麻醉学杂志

Objective:To evaluate the predictive value of the serum N-terminal pro-B-type natriuretic peptide (NT-proBNP) concentration for postoperative acute kidney injury (AKI) in neonates undergoing cardiac surgery.Methods:Perioperative data of 110 consecutive neonates (≤28 days) who underwent cardiac surgery in our hospital from October 2017 to May 2021, were collected retrospectively.According to pROCK criteria, the patients were divided into AKI group and non-AKI group.Demographics, predominant diagnosis, laboratory examination, perioperative management and postoperative outcomes were compared between two groups.The concentration of serum NT-proBNP was routinely measured within 12 h after operation.Multivariate logistic regression analysis was performed for the association between serum NT-proBNP and postoperative AKI.Receiver operating characteristic curve was drawn, and the predictive value of serum NT-proBNP for postoperative AKI was determined according to the area under the curve.Results:A total of 106 neonates were enrolled, and the incidence of postoperative AKI was 54.7%.There were significant difference in the baseline hemoglobin concentration, hematocrit and serum creatinine and serum NT-proBNP concentration between AKI group and non-AKI group ( P<0.05). Multivariate logistic regression analysis indicated that NT-proBNP level was an independent risk factor for AKI after cardiac surgery in neonates ( odds ratio 2.49, 95% confidence interval 1.183-5.23, P=0.016). The area under the curve of NT-proBNP predicting AKI after cardiac surgery was 0.66 (95% confidence interval 0.56-0.76, P=0.007). Conclusions:Elevated serum NT-proBNP concentration is an independent risk factor for AKI after cardiac surgery in neonates and has a certain predictive value for AKI, and close monitoring of perioperative NT-proBNP level is helpful for early identification of high-risk neonates.

Effects of hepatitis B virus on Th17, Treg and Th17/Treg ratio in different alanine aminetransferase stages / 北京大学学报(医学版)

OBJECTIVE@#To evaluate the effects of hepatitis B virus (HBV) on helper T lymphocytes 17 (Th17), regulatory T lymphocyte (Treg) and Th17/Treg ratio in chronic hepatitis B patients in different alanine aminetransferase (ALT) stages.@*METHODS@#In the study, 336 chronic hepatitis B patients in the first hospital of Lanzhou University were analyzed. The hepatitis B antigen antibody parameters were measured by chemiluminescence immunoassay analyzer, the liver function parameters were measured by automatic biochemical analyzer, the HBV loads were measured by quantitative PCR, Th17, Treg and Th17/Treg ratios were detected by flow cytometry. Among them, 111 cases (ALT < 40 U/L) of ALT were normal hepatitis B, 108 cases of chronic hepatitis B with ALT above normal upper limit and < 2 times higher (40 U/L≤ALT < 80 U/L), and 117 cases of chronic hepatitis B with ALT above 2 times normal upper limit (80 U/L≤ALT). According to the viral load, they were divided into low replication group with HBV DNA < 4.0 lg copies/mL, medium replication group with 4.0 lg copies/mL≤HBV DNA < 6.0 lg copies/mL and high replication group with HBV DNA ≥ 6.0 lg copies / mL. Dunnett T3 variance analysis were used to analyze the effects of HBV on Th17, Treg and Th17/Treg ratio in the chronic hepatitis B patients in different ALT stages. The changes of virological and immunological indexes before and after treatment were observed for 24 weeks of antiviral therapy in the hepatitis B patients with ALT≥double upper limit of normal group.@*RESULTS@#In the ALT normal group, different virus load HBV had minor effects on Th17, Treg and Th17/Treg ratio. In the ALT≥2 times upper limit of normal group, with the virus load increased, Th17 (3.18%±0.79% in low replication group, 3.78%±0.92% in medium replication group and 4.57%±1.15% in high replication group), Treg cells (5.52%±1.58% in low replication group, 5.89%±1.84% in medium replication group and 6.37%±2.35% in high replication group) and their ratio Th17/Treg (0.57±0.25 in low replication group, 0.65±0.29 in medium replication group and 0.73±0.36 in high replication group) were significantly increased (P < 0.05). After entecavir treatment 24 weeks, the patient' s HBV-DNA decreased significantly, Th17 (3.89%±1.02% vs. 2.06%±0.46%), Treg (6.02%±2.03% vs. 5.06%±1.25%), Th17/Treg ratio (0.65±0.28 vs. 0.41±0.14) decreased significantly (P < 0.05).@*CONCLUSION@#Investigation on the effects of HBV on Th17 and Treg cells and their ratios in different ALT states can clarify the effects of HBV on the body from the immunological perspective and can further understand the ALT grouping for antiviral treatment theoretical significance, which is helpful for clinical treatment.