ObjectiveThis study leverages structural data from antigen-antibody complexes of the influenza A virus neuraminidase (NA) protein to investigate the spatial recognition relationship between the antigenic epitopes and antibody paratopes. MethodsStructural data on NA protein antigen-antibody complexes were comprehensively collected from the SAbDab database, and processed to obtain the amino acid sequences and spatial distribution information on antigenic epitopes and corresponding antibody paratopes. Statistical analysis was conducted on the antibody sequences, frequency of use of genes, amino acid preferences, and the lengths of complementarity determining regions (CDR). Epitope hotspots for antibody binding were analyzed, and the spatial structural similarity of antibody paratopes was calculated and subjected to clustering, which allowed for a comprehensively exploration of the spatial recognition relationship between antigenic epitopes and antibodies. The specificity of antibodies targeting different antigenic epitope clusters was further validated through bio-layer interferometry (BLI) experiments. ResultsThe collected data revealed that the antigen-antibody complex structure data of influenza A virus NA protein in SAbDab database were mainly from H3N2, H7N9 and H1N1 subtypes. The hotspot regions of antigen epitopes were primarily located around the catalytic active site. The antibodies used for structural analysis were primarily derived from human and murine sources. Among murine antibodies, the most frequently used V-J gene combination was IGHV1-12*01/IGHJ2*01, while for human antibodies, the most common combination was IGHV1-69*01/IGHJ6*01. There were significant differences in the lengths and usage preferences of heavy chain CDR amino acids between antibodies that bind within the catalytic active site and those that bind to regions outside the catalytic active site. The results revealed that structurally similar antibodies could recognize the same epitopes, indicating a specific spatial recognition between antibody and antigen epitopes. Structural overlap in the binding regions was observed for antibodies with similar paratope structures, and the competitive binding of these antibodies to the epitope was confirmed through BLI experiments. ConclusionThe antigen epitopes of NA protein mainly ditributed around the catalytic active site and its surrounding loops. Spatial complementarity and electrostatic interactions play crucial roles in the recognition and binding of antibodies to antigenic epitopes in the catalytic region. There existed a spatial recognition relationship between antigens and antibodies that was independent of the uniqueness of antibody sequences, which means that antibodies with different sequences could potentially form similar local spatial structures and recognize the same epitopes.

Objective The purpose of this study was to investigate the bacterial communities of biting midges and ticks collected from three sites in the Poyang Lake area,namely,Qunlu Practice Base,Peach Blossom Garden,and Huangtong Animal Husbandry,and whether vectors carry any bacterial pathogens that may cause diseases to humans,to provide scientific basis for prospective pathogen discovery and disease prevention and control. Methods Using a metataxonomics approach in concert with full-length 16S rRNA gene sequencing and operational phylogenetic unit(OPU)analysis,we characterized the species-level microbial community structure of two important vector species,biting midges and ticks,including 33 arthropod samples comprising 3,885 individuals,collected around Poyang Lake. Results A total of 662 OPUs were classified in biting midges,including 195 known species and 373 potentially new species,and 618 OPUs were classified in ticks,including 217 known species and 326 potentially new species.Surprisingly,OPUs with potentially pathogenicity were detected in both arthropod vectors,with 66 known species of biting midges reported to carry potential pathogens,including Asaia lannensis and Rickettsia bellii,compared to 50 in ticks,such as Acinetobacter lwoffii and Staphylococcus sciuri.We found that Proteobacteria was the most dominant group in both midges and ticks.Furthermore,the outcomes demonstrated that the microbiota of midges and ticks tend to be governed by a few highly abundant bacteria.Pantoea sp7 was predominant in biting midges,while Coxiella sp1 was enriched in ticks.Meanwhile,Coxiella spp.,which may be essential for the survival of Haemaphysalis longicornis Neumann,were detected in all tick samples.The identification of dominant species and pathogens of biting midges and ticks in this study serves to broaden our knowledge associated to microbes of arthropod vectors. Conclusion Biting midges and ticks carry large numbers of known and potentially novel bacteria,and carry a wide range of potentially pathogenic bacteria,which may pose a risk of infection to humans and animals.The microbial communities of midges and ticks tend to be dominated by a few highly abundant bacteria.

Objective: This study aims to investigate the sleep quality of pregnant women in Xuhui District, Shanghai, and the related factors of sleep disturbances during pregnancy. Methods: From February 2019 to February 2021, we used online integrated sleep questionnaire (including PSQI, BQ, ESS, AIS) in Shanghai Jiao Tong University School of Medicine Affiliated Sixth People's Hospital, The International Peace Maternity and Child Health Hospitals of China Welfare Institution, and Shanghai Eighth People's Hospital, to investigate the sleep quality across pregnancy. We also collected maternal physical examination results, childbearing history, sociodemographic, and other clinical data. The prevalences and related factors of various sleep disturbances in pregnant women were analyzed, including insufficient/excessive nighttime sleep, low sleep efficiency, difficulty falling asleep, poor sleep quality, insomnia, daytime sleepiness, and high risk of sleep-disordered breathing (SDB). Results: This study includes 1 898 cases in the first trimester (T1), 3 099 cases in the second trimester (T2), and 1 539 cases in the third trimester (T3). Poor sleep quality (38.6%), daytime sleepiness (mild 41.9%, moderate 17.7%, severe 2.1%), and suspicious insomnia (32.3%) are most prevalent among women in T1 (P<0.01). In comparison, short sleep time (2.7%), long sleep time (8.6%), difficulty falling asleep (12.2%), poor sleep efficiency (35.4%), very poor sleep quality (6.7%), clinical insomnia (21.8%), and high-risk SDB (6.4%) are most prevalent among women in T3 (P<0.05). During pregnancy, late gestation (OR=1.016, 95%CI: 1.006-1.025) and multiple induced/drug abortions (OR=1.329, 95%CI: 1.043-1.692) are risk factors for poor sleep quality (PSQI>5), while multiple full-term deliveries (OR=0.800, 95%CI: 0.675-0.949) is its protective factor. Advanced maternal age (OR=0.976, 95%CI: 0.956-0.997), multiple full-term deliveries (OR=0.808, 95%CI: 0.680-0.959), late gestation (OR=0.983, 95%CI: 0.974-0.992) and hypertension (OR=0.572, 95%CI: 0.401-0.814) are protective factors for daytime sleepiness (ESS>6). The high-risk pregnancy category (OR=9.312, 95%CI: 1.156-74.978) is a risk factor for insomnia (AIS≥4), while multiple full-term deliveries (OR=0.815, 95%CI: 0.691-0.961) is its protective factor. High BMI (OR=1.334, 95%CI: 1.270-1.402) and hypertension (OR=4.427, 95%CI: 2.539-7.719) are risk factors for high-risk SDB in pregnant women. Conclusions: The prevalences of various sleep disturbances are high throughout pregnancy. Noticeably, symptoms of maternal SDB develop along with pregnancy. Different types of sleep disturbances are associated with different factors. Women of high-risk pregnancy category, in late gestation, with high BMI, hypertension, a history of induced/drug abortion, or without a history of full-term delivery can be at high risk of sleep disturbances during pregnancy.
Child ; China/epidemiology* ; Cross-Sectional Studies ; Female ; Humans ; Pregnancy ; Pregnancy Complications/epidemiology* ; Pregnant Women ; Sleep ; Sleep Quality

Abstract: Objective　To understand the density changes and seasonal fluctuation of larvae and adults of Aedes albopictus in Hainan Province from 2017 to 2021, and to provide a scientific basis for the prevention and control of dengue fever and other vector-borne diseases in Hainan Province. Methods　The Breteau index method was used to monitor the larvae of Aedes mosquitoes, and the breeding sites of all small indoor and outdoor water containers and their larvae was checked and recorded. The adult mosquitoes were monitored by double lamination and light trap. Results　A total of 1 962 adult female Aedes albopictus mosquitoes were captured in Hainan Province from 2017 to 2021, accounting for 2.17% of the total captured mosquitoes. There were significant differences in mosquito species composition in different habitats in different years (χ2=312.258, P<0.01). In 2017, the density of mosquitoes in livestock sheds was the highest (9.71 per lamp·night), but the composition ratio of Aedes albopictus was the lowest (1.29%). In 2020, the mosquito density in hospitals was the lowest (2.22 mosquitoes per lamp·night), and in 2019, the proportion of Aedes albopictus in residential areas and hospitals was the highest (3.27% on average).The mosquito density in different habitats was the lowest in 2020. The proportion of Aedes albopictus in residential areas and livestock sheds showed an increasing trend from 2017 to 2021, while the proportion of other habitats showed significant fluctuations. The proportion of Aedes albopictus in hospitals showed an obvious decreasing trend in 2020. From 2017 to 2021, the average mosquito density was 5.97, 4.26, 3.82, 3.39 and 3.68 mosquitoes per lamp·night, respectively, showing a decreasing trend year by year except 2021. Except for 2019, the lure index also showed a decreasing trend, with an average value of 1.5/(hour·net), showing a decreasing trend year by year. From 2017 to 2021, the annual average density of Aedes albopictus in Hainan Province was 0.09 mosquitoes per lamp·night, showing obvious seasonal fluctuation. The Breteau index showed a slow decline from 2017 to 2021, and its annual peak was between June and August, which was 1-2 months later than the peak of adult mosquito density. Conclusions　The population density of Aedes albopictus in Hainan shows obvious seasonal characteristics. Mosquito control activities should be carried out according to the seasonal characteristics of mosquitoes to reduce the risk of dengue fever and other infectious diseases.

OBJECTIVE: To evaluate the consistency and reproducibility of aortic root measurements by Anythink, a semi-automated preoperative CT analysis software, with those of 3mensio. METHODS: Sixty-seven patients undergoing transcatheter aortic valve replacement (TAVR) in the First Medical Center of Chinese PLA General Hospital from December, 2016 to February, 2022 were retrospectively enrolled in this study. A cardiology resident who completed his professional training used both the software Anythink and 3mensio (as the gold standard) to reconstruct the aortic root model and analyze the parameters of the aortic annulus and the surrounding structures. The correlation and consistency of the measurement results of two software were analyzed. Two independent residents also used Anythink software to repeat the measurements for the same patient for assessment of the reproducibility of Anythink measurements. The valve models were selected based on the measurements by Anythink and 3mensio, and similarities and differences of the two software in clinical valve selection were assessed. RESULTS: The measurements of the distances from the anulus plane to the left and right coronary ostium, average diameter of the anulus, anulus area, anulus perimeter, and the angle between the annulus and horizontal plane did not differ significantly between the two software (P > 0.05), and their measurements showed positive correlations (r= 0.884-0.981, P < 0.01). The intra-group and inter-group correlation coefficients of the anulus parameters measured by Anythink ranged from 0.894 to 0.992 and from 0.651 to 0.954, respectively. The Kappa-test values of valve models selected by Anythink and 3mensio based on the average diameter, area diameter and perimeter diameter were 0.886, 0.796 and 0.775, respectively. The intra-group Kappa values for the valve models selected based on Anythink measurements were 0.819, 0.841, and 0.795, and the inter-group Kappa values were 0.812, 0.812, and 0.768, respectively. Compared with the measurements by 3mensio, the recommended area diameter measured by Anythink was slightly greater in patients with postoperative paravalvular leakage, but slightly smaller in patients with postoperative new-onset conduction block. CONCLUSION Anythink has excellent measurement consistency and high reproducibility for aortic root measurements, and trained cardiologists can use Anythink to obtain accurate aortic root parameters before TAVR.
Humans ; Transcatheter Aortic Valve Replacement ; Reproducibility of Results ; Retrospective Studies ; Aorta ; Tomography, X-Ray Computed

Objective: To compare the therapeutic efficacy of Han-uvulopalatopharyngoplasty (HUPPP) combined with radiofrequency ablation of tongue base or HUPPP with traction of tongue base on moderate to severe patients with obstructive sleep apnea hypopnea syndrome (OSAHS). Methods: This is a multicenter randomized controlled trial. From March 2017 to July 2019, moderate to severe OSAHS patients from three clinical center in Shanghai who were intolerant to continuous positive airway pressure (CPAP) and with velopharyngeal and glossopharyngeal plane obstruction were enrolled in this study. According to the surgical type, they were 1∶1 randomized to HUPPP plus radiofrequency ablation of tongue base group (Ablation group) or HUPPP plus traction of tongue base group (Traction group). All patients completed over-night standard Polysomnography (PSG), upper-airway assessment (Friedman classification, Müller test, CT and cephalometric examination), preoperative routine examination, Epworth Sleepiness Scale (ESS) and Quebec sleep questionnaire (QSQ). Six to 12 months after operation, all the above-mentioned examinations were repeatedly performed. Changes of aforementioned variables before and after operation were assessed. Results: A total of 43 patients with moderate to severe OSAHS were enrolled in this study. One patient lost to follow-up, the remaining 21 were allocated to Ablation group and 21 were allocated to Traction group. The total therapeutic efficacy of all patients was 69.05% (61.90% in Ablation group and 76.19% in Traction group), but there was no statistical significance between the two groups (P= 0.317). The value of sleep scale score (ESS and QSQ), objective sleep variables (apnea-hypopnea index, oxygen saturation, percentage of time with blood oxygen less than 90% in total sleep time, oxygen desaturation index and micro-arousals) and upper airway cross-sectional area (palatopharyngeal and retrolingual area) of the two groups were improved (P<0.05), but the differences between the two groups were not statistically significant (P>0.05). Conclusion: For moderate to severe OSAHS who had glossopharyngeal plane obstruction, both HUPPP plus radiofrequency ablation of tongue base or HUPPP plus traction of tongue base are effective treatment for OSAHS, and the curative effect is similar. The choice of surgical type could be selected according to patient's or surgical conditions.
China ; Humans ; Oxygen Saturation ; Radiofrequency Ablation ; Sleep Apnea, Obstructive/surgery* ; Tongue/surgery* ; Traction

Objective: To investigate the prevalence and associated risk factors of metabolic syndrome (MS) in patients with obstructive sleep apnea (OSA). Methods: From July 2007 to June 2017, a total of 8 155 adult subjects, including 6 484 males and 1 671 females, aged 18-90 (43.13±12.28), body mass index 14.61~59.56 (25.59±3.98) kg/m²,who were admitted to the Department of Otorhinolaryngology head and Neck surgery of The Sixth People's Hospital affiliated to Shanghai Jiao Tong University, were retrospectively analyzed. All patients underwent polysomnography and biochemical tests. Subjects were divided into four groups (non-OSA, mild OSA, moderate OSA, and severe OSA) according to OSA severity. The prevalence of MS was expressed as percentage, and the correlation between OSA and MS and its characteristic pathophysiological indicators was evaluated by logistic regression model after adjusting for factors such as gender, age, BMI, neck circumference, hip circumference, smoking and alcohol consumption, and was expressed by odds ratio (OR). SPSS 25.0 software was used for statistical analysis. Results: The overall prevalence of MS was 43.6%, and that of non-/mild/moderate/severe OSA group was 18.6%, 30.4%, 43.8%, 57.1%.Logistic regression showed that patients with mild/moderate/severe OSA had an increased risk of MS compared with non-OSA patients, with adjusted OR values and confidence intervals of 1.27 (1.05-1.54), 1.84 (1.53-2.22), and 2.08 (1.76-2.46), respectively (P<0.01).In addition, indicators of OSA anoxic burden [oxygen drop index(T_oxygen=7.1), minimum blood oxygen(T_minimum=56.3), blood oxygen saturation below 90% cumulative time ratio (T_CT90=10.6) ]were closely associated with MS disease(P<0.01), but sleep fragmentation index (arousals index) was not significantly associated with MS disease. Conclusion: The risk of MS gradually increases with the severity of OSA, and the indicators reflecting OSA hypoxia burden are closely related to MS disease.
Adolescent ; Adult ; Aged ; Aged, 80 and over ; China ; Female ; Humans ; Male ; Metabolic Syndrome/epidemiology* ; Middle Aged ; Oxygen Saturation ; Retrospective Studies ; Sleep Apnea, Obstructive/epidemiology* ; Young Adult

Shengjiangsan was recorded in a medical book Treatise on Cold-induced Disorders and Plague written in the Qing Dynasty. This prescription， consisting of four drugs： Bombyx， cicada slough， Turmeric and Rhubarb， is simple but effective in regulating Qi and eliminating pathogenic factors. In recent years， the researches on the mechanism of this prescription have been continuously expanded and deepened. According to the collected data， Shengjiangsan is widely used in the treatment of various clinical diseases. The concept of systemic inflammatory response syndrome （SIRS） was first proposed in the 1990s， and it refers to the pathophysiological state caused by self-amplified cascade inflammatory response and inflammatory factor storm arising from infectious or non-infectious factors. In recent years， the treatment of SIRS has gradually become the current focus and hotspot. Patients with severe acute respiratory syndrome （SARS） and novel coronavirus pneumonia （COVID-19） often die from SIRS progression to multiple organ dysfunction syndrome （MODS） or even multiple organ failure （MOF）. Interleukin -1 receptor antagonist， anti-bradykinin， platelet activating factor receptor antagonist and other commonly used drugs in clinical treatment of SIRS have not achieved satisfactory results， so it is urgent to find drugs to improve SIRS status. Shengjiangsan is recommended as an initial prescription in traditional Chinese medicine diagnosis and treatment plan for SARS and COVID-19， and its antiviral effect may be related to preventing SIRS from transforming into MODS. Pharmacological studies have shown that Shengjiangsan can regulate the immune imbalance of SIRS to achieve a balance by intervening various inflammatory factors and their signaling pathways. At present， there are few reports on the treatment of SIRS with Shengjiangsan. Therefore， the theoretical analysis of Shengjiangsan and its clinical research and pharmacological mechanism in the treatment of SIRS are discussed here to broaden the thinking for clinical practice and experimental research.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

Objective: To explore the key genes and potential therapeutic drugs for osteoarthritis (OA) by bioinformatics.Method: The microarray data GSE55235 was downloaded from the data platform of gene expression omnibus (GEO) and the differentially expressed genes were screened by R language software (3.5.0).Then,the differentially expressed genes were subjected to gene ontology (GO) enrichment analysis and Kyoto encyclopedia of genes and genomes (KEGG) signaling pathway analysis with David online database.The protein-protein interaction was analyzed by String 10.5 online database and visual editing was analyzed by Cytoscape v3.6.1 software.Subnetwork module analysis was utilized by MCODE plugin to screen the core genes in the process of OA.Finally,small molecule drugs with potential treatment for OA were analyzed by connectivity map (CMap) database.Result: A total of 556 differentially expressed genes were screened,among which 252 were up-regulated and 304 were down-regulated.These genes were mainly involved in extracellular matrix (ECM) organization,inflammatory response,cell adhesion,immune response,collagen binding,etc.The analysis of KEGG pathway showed that differential genes were mainly involved in ECM-receptor interaction,phosphatidylinositol 3 kinase-protein kinase B (PI3K/Akt) signaling pathway and osteoclast differentiation.Some genes,such as interleukin-6(IL-6),JUN,vascular endothelial growth factor α(VEGFA),FOS,MYC and early growth response gene-1(EGR-1),activating transcription factor-3(ATF-3),playing critical role in the process of OA were identified by protein-protein interaction.Some potential small molecular drugs for the treatment of OA have also been screened,such as lycorine and anisomycin.Conclusion: The selected key genes may be targets for the diagnosis of OA or potential targets for the treatment of OA,and the selected small molecular drugs can be developed as the key drugs for the treatment of OA.