Gut microbial communities are likely remodeled in tandem with accumulated physiological decline during aging, yet there is limited understanding of gut microbiome variation in advanced age. Here, we performed a metagenomics-based enterotype analysis in a geographically homogeneous cohort of 367 enrolled Chinese individuals between the ages of 60 and 94 years, with the goal of characterizing the gut microbiome of elderly individuals and identifying factors linked to enterotype variations. In addition to two adult-like enterotypes dominated by Bacteroides (ET-Bacteroides) and Prevotella (ET-Prevotella), we identified a novel enterotype dominated by Escherichia (ET-Escherichia), whose prevalence increased in advanced age. Our data demonstrated that age explained more of the variance in the gut microbiome than previously identified factors such as type 2 diabetes mellitus (T2DM) or diet. We characterized the distinct taxonomic and functional profiles of ET-Escherichia, and found the strongest cohesion and highest robustness of the microbial co-occurrence network in this enterotype, as well as the lowest species diversity. In addition, we carried out a series of correlation analyses and co-abundance network analyses, which showed that several factors were likely linked to the overabundance of Escherichia members, including advanced age, vegetable intake, and fruit intake. Overall, our data revealed an enterotype variation characterized by Escherichia enrichment in the elderly population. Considering the different age distribution of each enterotype, these findings provide new insights into the changes that occur in the gut microbiome with age and highlight the importance of microbiome-based stratification of elderly individuals.
Aged ; Aged, 80 and over ; Female ; Humans ; Male ; Middle Aged ; Bacteroides ; China ; Diabetes Mellitus, Type 2/microbiology* ; Escherichia coli/classification* ; Gastrointestinal Microbiome/genetics* ; Metagenomics ; East Asian People

Objective:To investigate the correlation of the emm genotypes and virulence genes with the isolation sites of Group A Streptococcus (GAS). Methods:It was a retrospective study.The specimens were collected from children with impetigo in Beijing Children′s Hospital, Capital Medical University from 2006 to 2008 for GAS isolation and identification.A total of 24 GAS strains were isolated from 16 children with impetigo, among which 7 pairs of strains were isolated from the throat and skin of 7 children, and 1 pair of strains was isolated from the vulva and skin of one child, and the remaining 8 GAS strains were isolated from the skin pus samples of 8 children.Polymerase chain reaction was applied to detect the emm genotypes and 13 virulence genes ( speA, speB, speC, speF, speG, speH, speI, speJ, speK, speL, speM, smeZ and ssa). The correlation of the emm genotypes and virulence genes with the isolation sites of GAS strains was analyzed. Results:In this study, four emm genotypes were detected, including emm1.0 (15/24), emm12.0 (4/24), emm22.0 (2/24) and emm160.0 (1/24), and one subtype emm12.19 (2/24) was detected as well.The carrying rates of 13 virulence genes speA, speB, speC, speF, speG, speH, speI, speJ, speK, speL, speM, smeZ and ssa were 58.3%, 100%, 91.7%, 100%, 50.0%, 12.5%, 54.2%, 66.7%, 16.7%, 25.0%, 12.5%, 100% and 91.7%, respectively.All strains carried 5 to 11 virulence genes and they all carried speB, speF and smeZ.There were significant differences in the carrying rate of speA and speJ among the strains with different emm genotypes (all P<0.05). There was no significant difference in the distribution of virulence genes between skin isolates and pharyngeal isolates, including the 5 pairs of strains carrying the emm1.0 genotype (all P>0.05). Conclusions:The distribution of virulence gene of GAS in children with impetigo is significantly correlated with the emm genotype, rather than the isolation site.

Objective:To evaluate inflammation early in the infarct zone and its dynamic changes after acute myocardial infarction (AMI) using 18F-FDG PET imaging, and analyze its relationship with left ventricular remodeling progression (LVRP). Methods:Sixteen Bama miniature pigs (4-6 months old, 8 females) were selected. AMI models were established by balloon occlusion of the left anterior descending artery. 18F-FDG PET imaging was performed before AMI and at days 1, 5, 8, and 14 post-AMI to evaluate the regional inflammation response. 18F-FDG SUV ratio (SUVR) and the percentage of uptake area of left ventricle (F-extent) in the infarct zone, and the SUVRs of the spleen and bone marrow, were measured. Echocardiography and 99Tc m-methoxyisobutylisonitrile(MIBI) SPECT myocardial perfusion imaging (MPI) were performed at the above time points and on day 28 post-AMI to assess left ventricular end-diastolic volume (LVEDV), left ventricular end-systolic volume (LVESV), left ventricular ejection fraction (LVEF), and myocardial perfusion defect extent. The degree of LVRP at day 28 post-AMI was defined as ΔLVESV(%)=(LVESV AMI 28 d-LVESV AMI 1 d)/LVESV AMI 1 d×100%. Data were analyzed using repeated measures analysis of variance, Kruskal-Wallis rank sum test and Pearson correlation analysis. Results:Twelve pigs were successfully modeled and completed the study. Inflammation in the infarct zone persisted until day 14 post-AMI. The SUVR of the infarct zone pre-AMI and at days 1, 5, 8, and 14 post-AMI were 1.03±0.08, 3.49±1.06, 2.93±0.90, 2.38±0.76, and 1.63±0.62, respectively ( F=49.31, P<0.001). The F-extent values in the infarct zone pre-AMI and at days 1, 5, 8, and 14 post-AMI were 0, (40.08±12.46)%, (40.00±12.76)%, (31.08±12.82)%, and 16.50%(7.25%, 22.00%), respectively ( H=37.61, P=0.001). There were no significant differences in the SUVRs of bone marrow and spleen before and after AMI ( F values: 0.69 and 0.77, both P>0.05). At day 1 post-AMI, both SUVR and F-extent in the infarct zone were significantly correlated with LVRP ( r values: 0.82 and 0.70, P values: 0.001 and 0.035). Conclusions:18F-FDG PET imaging can be used to evaluate inflammation in the infarct area and its dynamic changes after AMI. Inflammation in the infarct area is severe at day 1, and then gradually decreases. The extent and severity of inflammation visible on 18F-FDG PET imaging 1 d after AMI are closely related to LVRP.

Chest pain is one of the most common complaints in the emergency department. Diseases of the heart, aorta, lungs, esophagus, stomach, mediastinum, pleura, and abdominal viscera can all cause chest discomfort (Gulati et al., 2021; Jiao et al., 2021; Lu et al., 2022). Clinicians in the emergency department are expected to immediately recognize life-threatening chest pain (Jiao et al., 2021). Delayed diagnosis further increases the risk of complications and mortality (Liu et al., 2021). In this case, we present an elderly Chinese female who had a history of myocardial infarction two years previously, with chest pain eventually found to be caused by ingestion of a duck bone.
Humans ; Female ; Aged ; Esophagus ; Foreign Bodies/diagnosis* ; Chest Pain/complications* ; Emergency Service, Hospital ; Heart

Epstein-Barr virus (EBV), a double-stranded DNA virus with an envelope, is a ubiquitous pathogen that is prevalent in humans, although most people who contract it do not develop symptoms (Kerr, 2019). While the primary cells EBV attacks are epithelial cells and B lymphocytes, its target range expands to a variety of cell types in immunodeficient hosts. Serological change occurs in 90% of infected patients. Therefore, immunoglobulin M (IgM) and IgG, serologically reactive to viral capsid antigens, are reliable biomarkers for the detection of acute and chronic EBV infections (Cohen, 2000). Symptoms of EBV infection vary according to age and immune status. Young patients with primary infection may present with infectious mononucleosis; there is a typical triad of symptoms including fever, angina, and lymphadenectasis (Houen and Trier, 2021). In immunocompromised patients, response after EBV infection may be atypical, with unexplained fever. The nucleic acid of EBV can be detected to confirm whether high-risk patients are infected (Smets et al., 2000). EBV is also associated with the occurrence of certain tumors (such as lymphoma and nasopharyngeal carcinoma) because it transforms host cells (Shannon-Lowe et al., 2017; Tsao et al., 2017).
Humans ; Trachea ; Epstein-Barr Virus Infections ; Herpesvirus 4, Human ; Virus Diseases ; Fever ; Granuloma

Objective:To develop an inquiry learning community centered on learning experience in the course of Nursing Clinical Comprehensive Experiment to verify the influence of this teaching mode on the learning gains and practical ability of nursing students. Methods:A total of 132 undergraduate nursing students form grade 3 in Chongqing Medical University were enrolled. The participants were randomly assigned to a learning community group ( n = 69) and a control group ( n = 63) using Minitab 14.0 software. The students in the learning community group adopted the inquiry learning community mode in accordance with the curriculum map for online self-learning, group discussion and skills practice, while the control group received the teacher-led teaching mode for offline theory teaching, operation teaching and skills practice. After the teaching intervention, both groups of students received the assessment questionnaire of learning gains and the comprehensive experimental ability evaluation. Chi-square test or paired t-test was performed using SPSS 23.0. Results:Compared with the control group, students in the learning community group reported that their sense of learning gain was enhanced ( P<0.001, Cohen d=0.97); sub-items showed that the effect size for the understanding of learning content ( P<0.001, Cohen d=1.22), the overall course situation ( P<0.001, Cohen d=0.90), the course activities ( P=0.000, Cohen d=0.83), and the information obtained ( P<0.001, Cohen d=1.16) was significantly different. The total score of practical ability of comprehensive experiment was significantly improved ( P = 0.005, Cohen d=0.51), in which the experimental situation displays ( P=0.002, Cohen d=0.55) and experimental effect ( P=0.006, Cohen d=0.49) were better than the control group. There was no significant difference in the performance of experimental preparation and case analysis between the two groups. Conclusion:Developing an inquiry learning community in nursing clinical comprehensive experiment can effectively enhance student' sense of learning gains and promote the improvement of clinical practical ability.

OBJECTIVE: To explore clinical rules based on the big data of the emergency department of the Second Affiliated Hospital of Guangzhou Medical University, and to establish an integrated platform for clinical research in emergency, which was finally applied to clinical practice. METHODS: Based on the hospital information system (HIS), laboratory information system (LIS), emergency specialty system, picture archiving and communication systems (PACS) and electronic medical record system of the Second Affiliated Hospital of Guangzhou Medical University, the structural and unstructured information of patients in the emergency department from March 2019 to April 2022 was extracted. By means of extraction and fusion, normalization and desensitization quality control, the database was established. In addition, data were extracted from the database for adult patients with pre screening triage level III and below who underwent emergency visits from March 2019 to April 2022, such as demographic characteristics, vital signs during pre screening triage, diagnosis and treatment characteristics, diagnosis and grading, time indicators, and outcome indicators, independent risk factors for poor prognosis in patients were analyzed. RESULTS: (1) The data of 338 681 patients in the emergency department of the Second Affiliated Hospital of Guangzhou Medical University from March 2019 to April 2022 were extracted, including 15 modules, such as demographic information, triage information, visit information, green pass and rescue information, diagnosis information, medical record information, laboratory examination overview, laboratory information, examination information, microbiological information, medication information, treatment information, hospitalization information, chest pain management and stroke management. The database ensured data visualization and operability. (2) Total 140 868 patients with pre-examination and triage level III and below were recruited from the emergency department database. The gender, age, type of admission to the hospital, pulse, blood pressure, Glasgow coma scale (GCS) and other indicators of the patients were included. Taking emergency admission to operating room, emergency admission to intervention room, emergency admission to intensive care unit (ICU) or emergency death as poor prognosis, the poor prognosis prediction model for patients with pre-examination and triage level III and below was constructed. The receiver operator characteristic curve and forest map results showed that the model had good predictive efficiency and could be used in clinical practice to reduce the risk of insufficient emergency pre-examination and triage. CONCLUSIONS The establishment of high-quality clinical database based on big data in emergency department is conducive to mining the clinical value of big data, assisting clinical decision-making, and improving the quality of clinical diagnosis and treatment.
Adult ; Humans ; Big Data ; Emergency Service, Hospital ; Triage/methods* ; Intensive Care Units ; Hospitalization ; Retrospective Studies

Objective:To form the expert consensus on screening and evaluation of dysphagia with oral cancer patients (abbreviated as Consensus) , so as to standardize the relevant contents of screening and evaluation of dysphagia in the whole cycle of oral cancer. Methods:By referring to domestic and foreign literature related to dysphagia, combining with the specialty characteristics of oral cancer and the clinical experience of experts, a preliminary consensus was formed through in-depth interviews with experts. A total of 21 experts were selected for three rounds of expert letter consultation and expert meeting, the corresponding items were sorted out, analyzed and modified based on expert opinions, and the Consensus was finally formed. Results:The effective recovery rates of the three rounds of correspondence were 100.00% (21/21) , the expert authority coefficient was 0.91, the variation coefficient of each item was 0.04-0.20, and Kendall's harmony coefficient was 0.05 ( P<0.05) . The final consensus included four aspects, such as the effect of oral cancer on swallowing, the clinical manifestations of dysphagia, the basic procedures of screening and evaluation and the prevention and treatment of complications during evaluation. Conclusions:This Consensus is scientific and practical, which can provide clinical guidance for the screening and evaluation of dysphagia in the whole cycle of oral cancer.

Group A Streptococcus (GAS) is a very important pathogen, especially for children.On a global scale, GAS is an important cause of morbidity and mortality.But the burden of disease caused by GAS is still unknown in China and also has not obtained enough attention.For this purpose, the expert consensus is comprehensively described in diagnosis, treatment and prevention of GAS diseases in children, covering related aspects of pneumology, infectiology, immunology, microbiology, cardiology, nephrology, critical care medicine and preventive medicine.Accordingly, the consensus document was intended to improve management strategies of GAS disease in Chinese children.

Objective:To explore the epidemiological characteristics of Streptococcus pyogenes, namely β-hemolytic Group A Streptococcus (GAS) in children in Shenzhen. Methods:Multilocus sequence typing (MLST) data on the epidemic clonal population of GAS infection in children in Shenzhen Children′s Hospital from January 2016 to December 2018 were retrospectively analyzed.In the present study, 32 GAS strains belonging to 7 different emm types were from 32 children′s with impetigo, cellulitis, scarlet fever, sepsis, pneumonia, obstructive sleep apnea hypopnea syndrome, bronchitis, allergy with rhinitis, buttock abscess, allergic purpura or pharyngeal tonsillitis, which were isolated from 23 throat swabs, 5 sputum samples, 3 pus and 1 blood.Using polymerase chain reaction technology, 7 pairs of allelic housekeeping genes ( gki, gtr, murI, mutS, recP, xpt and yqiL) of 32 GAS isolates were analyzed, and the target gene products were subjected to sequencing.Then the obtained gene sequences of each allele were submitted to the MLST database to obtain the allele profile.Finally, the allele profiles were introduced in the MLST database again to confirm the sequence typing (ST). Results:The GAS clone groups of emm 1.00 and its subtypes, emm 4.00, emm 12.00 and its subtypes, emm 22.00, emm 28.00, emm 75.00, and emm 89.00 belonged to the sequence typing ST28, ST39, ST36, ST46, ST52, ST49, and ST921, respectively. Conclusions:From 2016 to 2018, the MLST clone populations of GAS isolates causing infections in children in Shenzhen are classified as ST28, ST39, ST36, ST46, ST52, ST49 and ST921.