The Role of Pericyte Migration and Osteogenesis in Periodontitis.

A ligature-induced periodontitis model was established in wild-type and CD146CreERT2; RosatdTomato mice to explore the function of pericytes in alveolar bone formation. We found that during periodontitis progression and periodontal wound healing, CD146+/NG2+ pericytes were enriched in the periodontal tissue areas, which could migrate to the alveolar bone surface and colocalize with ALP+/OCN+ osteoblasts. Chemokine C-X-C motif receptor 4 (CXCR4) inhibition using AMD3100 blocked CD146-Cre+ pericyte migration and osteogenesis, as well as further exacerbated periodontitis-associated bone loss. Next, primary pericytes were sorted out by magnetic-activated cell sorting and demonstrated that C-X-C motif chemokine ligand 12 (CXCL12) promotes pericyte migration and osteogenesis via CXCL12-CXCR4-Rac1 signaling. Finally, the local administration of an adeno-associated virus for Rac1 overexpression in NG2+ pericytes promotes osteoblast differentiation of pericytes and increases alveolar bone volume in periodontitis. Thus, our results provided the evidence that pericytes may migrate and osteogenesis via the CXCL12-CXCR4-Rac1 axis during the pathological process of periodontitis.

Inter-equipment validation of PET-based radiomics for predicting EGFR mutation statuses in patients with non-small cell lung cancer.

AIM: To validate the inter-equipment generality of the radiomics based on PET images to predict the EGFR mutation status of patients with non-small cell lung cancer. MATERIALS AND METHODS: Patients were retrospectively collected in the departments of nuclear medicine of Heyi branch (Siemens equipment) and East branch (General Electric (GE) equipment) of the first affiliated hospital of Zhengzhou university. 5 predicting logistic regression models were established. The 1st one was trained and tested by the GE dataset; The 2nd one was trained and tested by the Siemens dataset; The 3rd one was trained and tested by the mixed dataset consisting of GE and Siemens. The 4th one was trained by GE and tested by Siemens; The 5th one was trained by Siemens and tested by GE. RESULTS: For the 1st ∼ 5th models, the mean values of AUCs for training/testing datasets were 0.78/0.73, 0.74/0.72, 0.75/0.70, 0.74/0.65 and 0.68/0.63, respectively. CONCLUSION: The AUCs of the models trained and tested on the datasets from the same equipment were higher than those for different equipment. The inter-equipment generality of the radiomics was not good enough in clinical practice.

[Analysis on the secondary attack rates of SARS-CoV-2 Omicron variant and the associated factors].

Objective: To evaluate the secondary attack rates of the SARS-CoV-2 Omicron variant and the associated factors. Methods: A total of 328 primary cases and 40 146 close contacts of the SARS-CoV-2 Omicron variant routinely detected in local areas of Jiangsu Province from February to April 2022 were selected in this study, and those with positive nucleic acid test results during 7 days of centralized isolation medical observation were defined as secondary cases. The demographic information and clinical characteristics were collected, and the secondary attack rate (SAR) and the associated factors were analyzed by using a multivariate logistic regression model. Results: A total of 1 285 secondary cases of close contacts were reported from 328 primary cases, with a SAR of 3.2% (95%CI: 3.0%-3.4%). Among the 328 primary cases, males accounted for 61.9% (203 cases), with the median age (Q1, Q3) of 38.5 (27, 51) years old. Among the 1 285 secondary cases, males accounted for 59.1% (759 cases), with the median age (Q1, Q3) of 34 (17, 52) years old. The multivariate logistic regression model showed that the higher SAR was observed in the primary male cases (OR=1.632, 95%CI: 1.418-1.877), younger than 20 years old (OR=1.766, 95%CI: 1.506-2.072),≥60 years old (OR=1.869, 95%CI: 1.476-2.365), infected with the BA.2 strain branch (OR=2.906, 95%CI: 2.388-3.537), the confirmed common cases (OR=2.572, 95%CI: 2.036-3.249), and confirmed mild cases (OR=1.717, 95%CI: 1.486-1.985). Meanwhile, the higher SAR was observed in the close contacts younger than 20 years old (OR=2.604, 95%CI: 2.250-3.015),≥60 years old (OR=1.287, 95%CI: 1.052-1.573) and exposure for co-residence (OR=27.854, 95%CI: 23.470-33.057). Conclusion: The sex and age of the primary case of the Omicron variant, the branch of the infected strain, case severity of the primary case, as well as the age and contact mode of close contacts are the associated factors of SAR.

B-Cell-Derived TGF-ß1 Inhibits Osteogenesis and Contributes to Bone Loss in Periodontitis.

B cells play a vital role in the elimination of periodontal pathogens, the regulation of the immune response, and the induction of tissue destruction. However, the role of B cells in the dysfunction of mesenchymal stem cell (MSC) differentiation to osteoblasts in periodontitis (PD) has been poorly studied. Here we show that the frequency of CD45-CD105+CD73+ MSCs in inflamed periodontal tissues is significantly decreased in patients with PD compared with that of healthy controls. CD19+ B cells dominate the infiltrated immune cells in periodontal tissues of patients with PD. Besides, B-cell depletion therapy reduces the alveolar bone loss in a ligature-induced murine PD model. B cells from PD mice express a high level of TGF-ß1 and inhibit osteoblast differentiation by upregulating p-Smad2/3 expression and downregulating Runx2 expression. The inhibitory effect of PD B cells on osteoblast differentiation is reduced by TGF-ß1 neutralization or Smad2/3 inhibitor. Importantly, B-cell-specific knockout of TGF-ß1 in PD mice significantly increases the number of CD45-CD105+Sca1+ MSCs, ALP-positive osteoblast activity, and alveolar bone volume but decreases TRAP-positive osteoclast activity compared with that from control littermates. Lastly, CD19+CD27+CD38- memory B cells dominate the B-cell infiltrates in periodontal tissues from both patients with PD and patients with PD after initial periodontal therapy. Memory B cells in periodontal tissues of patients with PD express a high level of TGF-ß1 and inhibit MSC differentiation to osteoblasts. Thus, TGF-ß1 produced by B cells may contribute to alveolar bone loss in periodontitis, in part, by suppressing osteoblast activity.

[Clinical distribution and drug resistance characteristics of carbapenem-resistant Klebsiella pneumoniae].

To explore the clinical distribution and drug resistance characteristics of carbapenem-resistant Klebsiella pneumoniae (CRKP), in order to provide reference for the prevention and treatment of CRKP infection. Retrospective analysis was performed on 510 clinical isolates of CRKP from January 2017 to December 2021, and strain identification and drug sensitivity tests were conducted by MALDI-TOF mass spectrometer and VITEK-2 Compact microbial drug sensitivity analyzer. The carbapenemase phenotype of CRKP strain was detected by carbapenemase inhibitor enhancement test. The CRKP strain was further categorized by immunochromogenic method and polymerase chain reaction (PCR) was used for gene detection. The results showed that 302 strains (59.2%) were derived from sputum, 127 strains (24.9%) from urine and 47 strains (9.2%) from blood. 231 (45.3%) were mainly distributed in intensive care, followed by 108 (21.2%) in respiratory medicine and 79 (15.5%) in neurosurgery. Drug susceptibility test result shows that the resistant rate of tigecycline increased from 1.0% in 2017 to 10.1% in 2021, the difference was statistically significant (χ2=14.444,P<0.05). The results of carbapenemase inhibitor enhancement test showed that 461 carbapenemase strains (90.4%) of 510 CRKP strains, including 450 serinase strains (88.2%), 9 metalloenzyme strains (1.8%), and 2 strains (0.4%) produced both serine and metalloenzyme. 49 strains (9.6%) did not produce enzymes. Further typing by immunochromogenic assay showed that 461 CRKP strains were KPC 450 (97.6%) and IMP 2 (0.4%). 7 NDM (1.5%); 2 strains of KPC+NDM (0.4%); PCR results were as follows: 450 strains of blaKPC (97.6%), 2 strains of blaIMP (0.4%), 7 strains of blaNDM (1.5%), and 2 strains of blaKPC+NDM (0.4%). In conclusion, CRKP strains mainly originated from sputum specimens and distributed in intensive care department, and the drug resistance characteristics were mainly KPC type in carbapenemase production. Clinical microbiology laboratory should strengthen the monitoring of CRKP strains, so as to provide reference for preventing CRKP infection and reducing the production of bacterial drug resistance.

Machine-learning models for prediction of sepsis patients mortality.

OBJECTIVES: Sepsis is an infection-caused syndrome, that leads to life-threatening organ damage. We aim to develop machine learning models with large-scale data to predict sepsis patients' mortality. DESIGN: we extracted sepsis patients from two databases, Medical Information Mart for Intensive Care IV (MIMIC-IV) as a train set and Philips eICU Collaborative Research Database as a test set. SETTING: ICUs in multicenter hospitals in the USA during 2012-2019. PATIENTS OR PARTICIPANTS: A total of 21,680 sepsis-3 patients are included in the study, in which, 3771 patients were dead and 17,909 survived during hospitalization, respectively. INTERVENTIONS: No interventions. MAIN VARIABLES OF INTEREST: Basic information, examination items during hospitalization and some medication and treatment information are incorporated into analyzed. Seven different models were built with a Support vector machine, Decision Tree Classifier, Random Forest, Gradients Boosting, Multiple Layer Perception, Xgboost, light Gradients Boosting to predict dead or live during hospitalization. RESULTS: Algorithms with an AUC value in the test set of the top three: light GBM, GBM, Xgboost. Considering the performance of the training set and the test set, the light GBM model performs best, and then the parameters of the model were adjusted, after that the AUC value was 0.99 in the train set, 0.96 in the test set, respectively. CONCLUSIONS: Models built with light GBM algorithm from real-world sepsis patients from electronic health records accurately predict whether sepsis patients are dead and can be incorporated into clinical decision tools to enhance the prognosis of the patient and prevent adverse outcomes.

The expression of GADA, ZnT8A and IA-2A in patients with type 1 diabetes mellitus with thyroid disease and their correlation with thyroid autoantibodies.

OBJECTIVE: The aim of this research was to study the expression of anti-glutamate decarboxylase antibody (GADA), zinc transporter-8 autoantibody (ZnT8A), and insulinoma-associated protein-2 antibody (IA-2A) in patients with type 1 diabetes (T1DM) with thyroid disease (TD) and its correlation with thyroid autoantibodies. PATIENTS AND METHODS: 380 patients with T1DM were included in the study, of which 313 patients with T1DM alone were included in the control group. In the TD group, 41 patients with T1DM and Hashimoto's thyroiditis (HT) were included, and 26 cases of T1DM patients with Graves' disease were included in the Graves group. The clinical features of the control group, the HT group, and the Graves group were compared. The positive rates of insulin autoantibodies in the control group and the TD group were analyzed. The clinical characteristics of patients with and without insulin autoantibody positivity were compared. The positive rates of thyroid autoantibodies in T1DM patients with positive GADA, ZnT8A, IA-2A, and different numbers of positive insulin autoantibodies were analyzed. RESULTS: The levels of total cholesterol (TC) and thyroid stimulating hormone (TSH) in the HT group were significantly higher than those in the control and Graves groups, and the levels of free thyroid hormone (FT4) and low-density lipoprotein cholesterol (LDL-C) were significantly lower than those in the control and Graves groups (p<0.001). The levels of TC and TSH in the Graves group were significantly lower than those in the control group, the levels of HbA1c, LDL-C, and FT4 were significantly higher than those in the control group, and the levels of FT3 were significantly higher than those in the control and HT groups (p<0.001). The levels of C peptide, triglyceride (TG), and LDL-C of insulin autoantibodies positive patients were significantly lower than those of negative patients (p<0.05). The positive rates of GADA, ZnT8A, and IA-2A in the TD group, as well as the positive rates of double antibodies and triple antibodies, were significantly higher than those of the control group (p<0.05). In T1DM patients, the positive rates of thyroid peroxidase antibody (TPOAb) and thyroglobulin antibody (TGAb) in GADA and IA-2A-positive patients were significantly higher than those in GADA and IA-2A-negative patients (p<0.05). The positive rate of TPOAb in ZnT8A-positive patients was significantly higher than that in ZnT8A-negative patients (p<0.05). The positive rates of TRAb, TPOAb, and TGAb in T1DM patients positive for two of the three insulin autoantibodies and three insulin autoantibodies were significantly higher than those positive for one of the three insulin autoantibodies (p<0.001). CONCLUSIONS: TD can exacerbate the disorder of glucose and lipid metabolism in patients with T1DM, and multiple insulin autoantibodies positive T1DM patients it is more likely to have thyroid autoantibody positivity. It is suggested that patients with aggravated glucose and lipid metabolism and multiple insulin autoantibody positivity should be routinely screened for thyroid antibodies to help early diagnosis of TD.

[Emerging and comparative genomic analysis of a novel plasmid carrying blaKPC-2 in Citrobacter freundii].

Objective: To explore the drug resistance mechanism and gene structure characteristics of a carbapenemase-producing novel incompatibility group plasmid pNY2385-KPC from Citrobacter freundii. Methods: A multi-drug resistant strain was obtained from urine samples of patients with fever in the emergency ward of Li Huili Hospital, Ningbo Medical Center. Bacterial species was preliminary identified and finally confirmed by 16S rRNA gene amplification and the average nucleotide identity alignment, respectively. The minimum inhibitory concentrations of the antimicrobial agents were determined by VITEK 2 Compact System. The complete genome sequence was obtained by "third-generation" sequencing methods, and then detailed annotation of gene function and comparative genomic analysis of plasmid structure were carried out by BLASTP/BLASTN, RefSeq, ConservedDomains, ResFinder, Isfinder, etc. Results: The pNY2385-KPC carried by citrobacter freundii NY2385 belonged a novel incompatibility group, and contained blaKPC-2 and conjugative transfer (type Ⅳ secretory system, T4SS) genes, which could induce conjugative transfer. A total of 15 plasmids of the same type as pNY2385-KPC were retrieved by NCBI, which were from Citrobacter freundii, and the rest were from Serratia marcescens, Escherichia coli, Enterobacter cloacae, Klebsiella pneumoniae, Raoultella planticola and other bacteria, and were broad-host-range plasmids. The sequence comparative analysis of all 6 of the novel plasmid from Citrobacter freundii showed that the structure of the novel plasmid had certain conserved property, with Tn6296 variant structure carrying blaKPC-2, and plasmid pCF1807-3 had both repApNY2385-KPC and repAIncX8. Conclusion: The pNY2385-KPC type plasmids in Citrobacter freundii carried blaKPC-2 resistance gene, which were divided into two subtypes: repApNY2385-KPC single replicator and repApNY2385-KPC/repAIncX8 complex replicator, belonging to broad-host-range plasmids. And as a mobile genetic element, the plasmids promote the spread of blaKPC-2.

Spin-textures of medium-body boson systems with trapped spin-f cold atoms.

The spin-textures of bound medium-body systems with spin-[Formula: see text] atoms ([Formula: see text]) have been studied. The Hamiltonian is assumed to be dominated by the two-body interaction favoring parallel spins. The system with particle number [Formula: see text] and [Formula: see text] is first chosen, and the Hamiltonian is exactly diagonalized by using Fock-states as basis-states, thereby all the eigenenergies and eigenstates are obtained and a detailed analysis is made. Then the cases with [Formula: see text] and [Formula: see text] are further studied. Since the total spin S is conserved, the eigenstates having the same S form an S-group. Let the lowest (highest) energy state of an S-group be called a bottom-state (top-state). We found that all the bottom-states are bipartite product states with constituent states describing fully polarized subsystems containing [Formula: see text] and [Formula: see text] ([Formula: see text]) particles, respectively. For two bottom-states different in [Formula: see text], the one with a larger [Formula: see text] is higher. For two having the same [Formula: see text], the one with a smaller S is higher. Whereas all the top-states are found to be essentially a product state of the pairs, in each pair the two spins are coupled to [Formula: see text] if the strength of the [Formula: see text]-channel is more repulsive than the others. For the states belonging to an S-group, the higher one would contain more pieces. As the energy goes up, larger pieces (those containing more than two particles) will disappear.

Association of variants in FABP4, FASN, SCD, SREBP1 and TCAP genes with intramuscular fat, carcass traits and body size in Chinese Qinchuan cattle.

This study aimed to genotype the variants in FABP4, FASN, SCD, SREBP1 and TCAP genes, and to analyze their associations with intramuscular fat (IMF) content, carcass traits and body size in Chinese Qinchuan cattle (QC). The association studies showed that the FABP4 c.220A > G polymorphism was significantly associated with ultrasound longissimus muscle depth (ULMD) and IMF, the FASN g.16024A > G polymorphism was significantly associated with ULMD and some body size traits, the SREBP1 84 bp indel was significantly associated with back fat thickness, ULMD and some body size traits. The frequencies of well-characterized A allele in FABP4 c.220A > G in Korean cattle (KOR) and Japanese Black cattle (JB), T allele in SCD g.8586C > T in KOR, SS genotype in SREBP1 84 bp indel in KOR and JB, DELDEL genotype in TCAP g.592-597CTGCAGinsdel in KOR were significantly higher than in Chinese cattle breeds. Thus, the associated four polymorphisms were expected to be genetic selection markers for meat quality, carcass traits and body size of QC.

[Risk factors of carbapenem resistant Acinetobacter baumannii infection in intensive care unit].

Objective: This study will analyze the clinical characteristics and risk factors that may be related to the 30-day mortality of patients infected with CRAB in intensive care unit (ICU), and explore the resistance of CRAB and its influence on mortality. Methods: From December 2012 to February 2021, 173 ICU patients with CRAB infection in the Fifth Medical Center of PLA General Hospital were selected as the research objects, and the relevant data were collected for retrospective analysis. There were 119 cases (68.8%) in survival group and 54 cases (31.2%) in the non-survival group. Patients with CRAB infection were (52.9±13.5) years old, including 140 males (80.9%) and 33 females (19.1%).The first detected CRAB was collected, and antibiotic sensitivity test was conducted after the strain was resuscitated to analyze the antibiotic resistance. Univariate and multivariate Cox models were used to analyze independent risk factors associated with 30-day mortality in patients with CRAB infection. Results: Univariate and multivariate Cox analysis showed that acute physiology and chronic health evaluation scoring system Ⅱ(APACHE Ⅱ)(HR=1.058, 95%CI:1.012-1.106, P=0.013) and septic shock (HR=6.240, 95%CI:2.227-17.483, P<0.001) were independent risk factors related to 30-day mortality in ICU patients with CRAB. Treatment with ß-lactamase inhibitor (HR=0.496, 95%CI: 0.275-0.893, P<0.019) can reduce the 30-day mortality of patients with CRAB infection in ICU. The resistance rate of CRAB to cephalosporins, carbapenems, aminoglycosides and quinolones were more than 80%. The survival rate of patients infected by aminoglycoside resistant CRAB is low(χ²=4.012,P<0.05). Conclusion: The APACHE Ⅱ score, septic shock and use of ß-lactamase inhibitors were independent factors associated with the 30-day mortality in ICU patients with CRAB infection.

Spin structures of the ground states of four body bound systems with spin 3 cold atoms.

We consider the case that four spin-3 atoms are confined in an optical trap. The temperature is so low that the spatial degrees of freedom have been frozen. Exact numerical and analytical solutions for the spin-states have been both obtained. Two kinds of phase-diagrams for the ground states (g.s.) have been plotted. In general, the eigen-states with the total-spin S (a good quantum number) can be expanded in terms of a few basis-states [Formula: see text]. Let [Formula: see text] be the probability of a pair of spins coupled to [Formula: see text], and 6 in the [Formula: see text] state. Obviously, when the strength [Formula: see text] of the [Formula: see text]-channel is more negative, the basis-state with the largest [Formula: see text] would be more preferred by the g.s.. When two strengths are more negative, the two basis-states with the two largest probabilities would be more important components. Thus, based on the probabilities, the spin-structures (described via the basis-states) can be understood. Furthermore, all the details in the phase-diagrams, say, the critical points of transition, can also be explained. Note that, for [Formula: see text], [Formula: see text] is completely determined by symmetry. Thus, symmetry plays a very important role in determining the spin-structure of the g.s..

A stable spin-structure found in a 3-body system with spin-3 cold atoms and its role in N-body condensates.

We have found a stable spin-structure of N [Formula: see text] 3 system in which three spin-3 atoms are trapped and coupled to total spin S [Formula: see text] 3. We have proved that a pair of this structure is nearly an exact solution for N [Formula: see text] 6 systems in a very broad district in the parameter-space. Comparing with the well-known singlet pairs, this pair is a more promising candidate to serve as a building block for large N systems with spin-3 atoms. This is because the spin-structure of the latter can be modified depending on the interactions to reduce the energy while the singlet pairs can not. In fact, we have proved that, for a specific set of strengths (a point in the parameter-space) the product state based on this pair is an exact solution of the N-body Hamiltonian. Thus, in the neighborhood of this point, the product state will appear as an approximate solution. However, how broad this neighborhood would be remains to be clarified.

Bacillus amyloliquefaciens TL106 protects mice against enterohaemorrhagic Escherichia coli O157:H7-induced intestinal disease through improving immune response, intestinal barrier function and gut microbiota.

AIMS: This study evaluated the effects of Bacillus amyloliquefaciens TL106, isolated from Tibetan pigs' faeces, on the growth performance, immune response, intestinal barrier function, morphology of jejunum, caecum and colon, and gut microbiota in the mice with enterohaemorrhagic Escherichia coli (EHEC)-induced intestinal diseases. METHODS AND RESULTS: In all, 40 female C57BL/6J mice were randomly divided into four groups: mice fed a normal diet (Control), mice oral administration of TL106 daily (Ba), mice challenged with EHEC O157:H7 on day 15 (O157) and mice oral administration of TL106 daily and challenged with EHEC O157:H7 on day 15 (Ba+O157). The TL106 was administrated to mice for 14 days, and mice were infected with O157:H7 at day 15. We found that TL106 could prevent the weight loss caused by O157:H7 infection and alleviated the associated increase in pro-inflammatory factors (TNF-α, IL-1ß, IL-6 and IL-8) and decrease in anti-inflammatory factor (IL-10) in serum and intestinal tissues of mice caused by O157:H7 infection (P < 0·05). Additionally, TL106 could prevent disruption of gut morphology caused by O157:H7 infection, and alleviate the associated decrease in expression of tight junction proteins (ZO-1, occludin and claudin-1) in jejunum and colon (P < 0·05). In caecum and colon, the alpha diversity for bacterial community analysis of Chao and ACE index in Ba+O157 group were higher than O157 group. The TL106 stabilized gut microbiota disturbed by O157:H7, including increasing Lachnospiraceae, Prevotellaceae, Muribaculaceae and Akkermansiaceae, and reducing Lactobacillaceae. CONCLUSIONS: We indicated the B. amyloliquefaciens TL106 can effectively protect mice against EHEC O157:H7 infection by relieving inflammation, improving intestinal barrier function, mitigating permeability disruption and stabilizing the gut microbiota. SIGNIFICANCE AND IMPACT OF THE STUDY: Bacillus amyloliquefaciens TL106 can prevent and treat intestinal disease induced by EHEC O157:H7 in mice, which may be a promising probiotic for disease prevention in animals.

[Construction of urban scale-free network model and its epidemiological significance in the prevention and control of COVID-19].

COVID-19 is a public health emergency currently. In this study, a scale-free network model is established based on the Spring Migration data in 2020.The cities is clustered into three different modules. The epidemic of the cities in the black module was the most serious, followed by the red and the cyan. The black module contains 9 cities in Zhejiang province and 8 cities in Guangdong province, most of them located in the southeast coastal economic belt. These cities should be the key cities for epidemic prevention and control.

[Progress of research regarding the influenza early warning system, based on "Big Data"].

Shortcomings have been inherited in the traditional influenza early warning system, often expressed through the scope, accuracy on prediction and real-time performance of the monitor related programs. With the new round of scientific and technological revolution and the increasingly maturity of modern information system, related technology on influenza early warning has become the focus of research in this field, based on big data analysis technology. Using the traditional influenza surveillance and early warning system as reference, this paper summarizes the progress of influenza early warning research, based on the Internet, influencing factors, time and space trends, and risk assessment etc., to summarize the trends on the advantages, shortcomings and future development of big data, used in the early warning system on influenza.

Hydrogen gas (XEN) inhalation ameliorates airway inflammation in asthma and COPD patients.

BACKGROUND: Hydrogen was proven to have anti-oxidative and anti-inflammation effects to various diseases. AIM: We wish to investigate the acute effects of inhaled hydrogen on airway inflammation in patients with asthma and chronic obstructive pulmonary disease (COPD). DESIGN: Prospective study. METHODS: In total, 2.4% hydrogen containing steam mixed gas (XEN) was inhaled once for 45 min in 10 patients with asthma and 10 patients with COPD. The levels of granulocyte-macrophage colony stimulating factor, interferon-γ, interleukin-1ß (IL-1ß), IL-2, IL-4, IL-6 and so on in peripheral blood and exhaled breath condensate (EBC) before and after 'XEN' inhalation were measured. RESULTS: 45 minutes 'XEN' inhalation once decreased monocyte chemotactic protein 1 level in both COPD (564.70-451.51 pg/mL, P = 0.019) and asthma (386.39-332.76 pg/mL, P = 0.033) group, while decreased IL-8 level only in asthma group (5.25-4.49 pg/mL, P = 0.023). The level of EBC soluble cluster of differentiation-40 ligand in COPD group increased after inhalation (1.07-1.16 pg/mL, P = 0.031), while IL-4 and IL-6 levels in EBC were significantly lower after inhalation in the COPD (0.80-0.64 pg/mL, P = 0.025) and asthma (0.06-0.05 pg/mL, P = 0.007) group, respectively. CONCLUSIONS: A single inhalation of hydrogen for 45 min attenuated inflammatory status in airways in patients with asthma and COPD.

Spin-structures of the Bose-Einstein condensates with three kinds of spin-1 atoms.

We have performed a quantum mechanic calculation (including solving the coupled Gross-Pitaevskii equations to obtain the spatial wave functions, and diagonalizing the spin-dependent Hamiltonian in the spin-space to obtain the total spin state) together with an analytical analysis based on a classical model. Then, according to the relative orientations of the spins SA, SB and SC of the three species, the spin-structures of the ground state can be classified into two types. In Type-I the three spins are either parallel or anti-parallel to each other, while in Type-II they point to different directions but remain to be coplanar. Moreover, according to the magnitudes of SA, SB and SC, the spin-structures can be further classified into four kinds, namely, p + p + p (all atoms of each species are in singlet-pairs), one species in f (fully polarized) and two species in q (a mixture of polarized atoms and singlet-pairs), two in f and one in q, and f + f + f. Other combinations are not allowed. The scopes of the parameters that supports a specific spin-structure have been specified. A number of spin-structure-transitions have been found. For Type-I, the critical values at which a transition takes place are given by simple analytical formulae, therefore these values can be predict.

Characterization of antibody and memory T-cell response in H7N9 survivors: a cross-sectional analysis.

OBJECTIVES: Despite the importance of immunological memory for protective immunity against viral infection, whether H7N9-specific antibodies and memory T-cell responses remain detectable years after the original infection is unknown. METHODS: A cross-sectional study was conducted to investigate the immune memory responses of H7N9 patients who contracted the disease and survived during the 2013-2016 epidemics in China. Sustainability of antibodies and T-cell memory to H7N9 virus were examined. Healthy individuals receiving routine medical examinations in a physical examination centre were recruited as control. RESULTS: A total of 75 survivors were enrolled and classified into four groups based on the time elapsed from illness onset to specimen collection: 3 months (n = 14), 14 months (n = 14), 26 months (n = 28) and 36 months (n = 19). Approximately 36 months after infection, the geometric mean titres of virus-specific antibodies were significantly lower than titres in patients 3 months after infection, but 16 of 19 (84.2%) survivors in the 36-month interval had microneutralization (MN) titres ≥40. Despite the overall declining trend, the percentages of virus-specific cytokine-secreting memory CD4+ and CD8+ T cells remained higher in survivors at nearly all time-points in comparison with control individuals. Linear regression analysis showed that severe disease (mean titre ratio 2.77, 95% CI 1.17-6.49) was associated with higher haemagglutination inhibition (HI) titre and female sex for both HI (1.92, 1.02-3.57) and MN (3.33, 1.26-9.09) antibody, whereas female sex (mean percentage ratio 1.69, 95% CI 1.08-2.63), underlying medical conditions (1.94, 95% CI 1.09-3.46) and lack of antiviral therapy (2.08, 95% CI 1.04-4.17) were predictors for higher T-cell responses. CONCLUSIONS: Survivors of H7N9 virus infection produced long-term antibodies and memory T-cell responses. Our findings warrant further serological investigation in general and high-risk populations and have important implications for vaccine design and development.