Implementation science (IS) aims to systematically analyze and address the real-world gaps from evidence to practice and the influencing factors of the context. It is necessary to carry out qualitative research to gather relevant implementation outcomes. Nevertheless, traditional qualitative analysis has issues such as consuming a great deal of time and energy, and it is unable to promptly provide the crucial data required for implementation science research. The Rapid Qualitative Analysis (RQA) method, through semi-structured interviews and the adoption of techniques such as immediate data condensation and matrix analysis, can effectively shorten the cycle of qualitative data collection and data processing. RQA can promptly identify social determinants of health such as structural barriers, facilitators, and the behavioral characteristics of target groups. It provides a real-time basis for public health decision-making, the interpretation of complex social phenomena, and the process and effectiveness evaluation of research projects. Although RQA is difficult to conduct in-depth theoretical analysis based on grounded theory, its efficiency and flexibility make it the preferred tool for large-scale and time-sensitive research. Thus, it has been widely applied in implementation science research. This paper sorts out the core concepts and commonly used technical methods of RQA, as well as the differences between RQA and traditional qualitative analysis. It also explores the applications of RQA in intervention optimization, process evaluation, and implementation outcome evaluation. By integrating specific cases, this paper clarifies its application value in the field of implementation science. In the future, it is advisable to explore the integration of RQA with technologies such as artificial intelligence and big data, in order to bridge the gap between the transformation of scientific research achievements into practice. Under circumstances of limited resources or tight time constraints, RQA can be used to efficiently conduct implementation science research, providing convenient and scientific methodological and technical support for accelerating evidence-based practice.

Forensic science is looking for clues at a crime scene in order to reconstruct the crime scene.Classic clues include DNA and fingerprints.Forensic microbiology is a branch of forensic medicine that uses microbes as clues,providing us information about lifestyle,circadian rhythms,geographic locations,postmortem intervals,cancers,and oral or systemic diseases.Oral cavity,as the place with the second largest number of microorganisms,can provide researchers with microbial information of each ecological niche,and assist in the prediction,diagnosis and monitoring of oral or systemic diseases.This paper reviews the composition of oral microbiome,the application in oral diseases,systemic diseases and forensic medicine,with the aim of providing some references for the development of forensic microbiology based on oral microbiome.

Objective: To investigate the characteristics of body composition (BC) in gout patients and its clinical significance. Methods: Consecutive gout patients were recruited between August 2017 and December 2018. Demographic information, clinical characteristics and comorbidities were collected. BC was assessed by bioelectric impedance analysis including body fat percentage (BF%), trunk and limb BF%, appendicular skeletal muscle index. Overfat was defined by BF% ≥25% for male and ≥35% for female. The association between BC and serum uric acid (sUA) was evaluated by multiple linear regression. Results: A total of 362 gout patients were recruited with median age 38 (30, 52) years, 96.1% (348/362) were male. Mean sUA was (551±133) μmol/L. The mean BF% was (25.8±6.4)% with 53.6%(194/362) patients overfat. Male gout patients with overfat showed more affected joints [4(2, 6) vs. 2(2, 5)], higher sUA [(576±126)μmol/L vs. (523±134) μmol/L], higher prevalence of dyslipidemia [70.1%(131/187) vs. 54.0%(87/161)], metabolic syndrome [60.8%(118/187) vs. 28.0%(47/161)], fatty liver [58.2%(113/187) vs. 35.1%(59/161)] and hypertension [44.4%(83/187) vs. 25.5%(41/161)] than male patients with normal fat (all P<0.05). Their BF%, trunk BF% and limb BF% were positively correlated with the numbers of affected joints, sUA, metabolic syndrome, fatty liver, and hypertension, respectively (r=0.154-0.435, all P<0.05). Multivariable linear regression suggested that BF% (β=4.29, P=0.020) and trunk BF% (β=9.11, P=0.007), but not limb BF%, were positively correlated with sUA. Conclusion Overfat is very common in gout patients. The proportion of trunk fat in male patients is positively correlated with sUA. When assessing obesity in gout patients clinically, body composition analysis should be performed simultaneously.

Objective To investigate the prevalence of mcr-1 gene,a plasmid-mediated polymyxin resistance gene,in Escherichia coli(E.coli) strains isolated in Dongyang of Zhejiang Province and to under-stand the epidemiological characteristics of E.coli strains carrying mcr-1 gene in order to provide local clini-cians with a theoretical basis for prevention and control of the spread of mcr-1-bearing E.coli strains. Meth-ods A total of 315 E.coli strains were collected in the People′s Hospital of Dongyang, Zhejiang Province from January to December 2016. All strains were isolated from specimens of blood,urine,respiratory tract, etc. PCR was performed to detect the genes confering resistance to polymyxin (mcr-1 gene), β-lactamase and carbapenem. Minimal inhibitory concentrations (MIC) of antibiotics against mcr-1-positive strains were determined by micro-broth dilution method. Conjugation test was performed to confirm whether the mcr-1 gene was located on the transferable plasmid. Multilocus sequence typing (MLST) was used for molecular typing of mcr-1-positive strains. Results Five mcr-1-positive strains were identified from 315 E.coli strains with a positive rate of 1.6%. Two out of the five mcr-1-positive E.coli strains contained β-lactamase resist-ance genes,blaTEM-1and blaCTX-M-14. Both of them were resistant to the first, second and third generation of cephalosporins and one was also resistant to cefepime. All of the five mcr-1-positive E.coli strains were sen-sitive to ciprofloxacin and levofloxacin,but resistant to ticarcillin/clavulanic acid. No carbapenem resistance genes were detected. One transconjugant was successfully obtained by transconjugation assay. MLST analysis showed that a total of four sequence types were identified, including ST131 (two strains), ST43 (one strain),ST69 (one strain) and ST349(one strain). Conclusion Only 1.6% of all E.coli strains isolated in Dongyang area of Zhejiang Province carry mcr-1 gene,indicating that there is no epidemic of mcr-1 gene-positive E.coli infection. The coexistence of mcr-1 gene and β-lactamase resistance genes in E.coli strains isolated in Dongyang suggests that local clinicians should avoid antibiotic abuse to prevent the spread of drug-resistant E.coli.

Objective:To study the differentially expressed proteins in saliva of health people and the patients with oral squamous cell carcinoma(OSCC).Methods:Saliva of 17 cases with OSCC and paired health subjects was collected,the proteins in the saliva were examined by two-dimensional gel electrophoresis (2-DE) separation,the proteins were examined by 2-DE separation,the saliva proteome dimensional electrophoresis profiles were obtained by MALDI-TOF/MS mass spectrometric identification,the information of the differentially expressed protein in OSCC group was studied by NCBI database bioinformatics analysis.Results:10 proteins differentially expressed between the 2 groups were observed by mass spectrometry.Bioinformatics analysis showed that S100A8,S100A8/S100A9 and Epidermal cytokeratin 2(EK2) were highly expressed in the saliva of OSCC cases.Conclusion:S100A8,S100A8/S100A9 and EK2 may be related to the development of OSCC.

Objective: To investigate the protective effect and mechanism of rhubarb on intestinal mucosa epithelial cells apoptosis of piglet with sepsis.Methods: The changes of apoptosis of intestinal mucosa epithelial cells were tested by flow cytometry and TUNLE.Molecular biology methods were used to observe the mRNA expression of zonula occludens(ZO-1),Occludin,TNF-?/IL-10 and the content of MDA,activity of SOD.Results: Compared with model group,the number of apoptosis cells in treatment group decreased apparently(P