Objective To investigate the value of first platelet count(PLT)to respiratory rate(RR)ratio(PLT/RR)on admission in the diagnosis and prognosis of secondary sepsis in pneumonia patients.Methods A total of 100 patients with pneumonia admitted to the First Affiliated Hospital of Army Medical University from May 2023 to August 2024 were selected as subjects.According to the presence or absence of pneumonia sepsis,they were divided into sepsis group(63 cases)and non-sepsis group(37 cases).The secondary sepsis in pneumonia pa-tients were followed up continuously for 30 d.According to the survival situation,they were divided into sur-vival group(54 cases)and death group(9 cases).PLT in peripheral blood was measured,vital signs were col-lected on the first day of admission,and PLT/RR was calculated.The receiver operating characteristic curve was used to evaluate the predictive value of PLT,RR and PLT/RR for secondary sepsis in pneumonia pa-tients.The systemic inflammatory response syndrome(SIRS)score,modified early warning score(MEWS)and quick sequential organ failure assessment(qSOFA)score on admission were calculated,and the clinical predictive value of SIRS score,MEWS and qSOFA score was compared.Results PLT and PLT/RR in sepsis group were lower than those in non-sepsis group(P<0.000 1),RR was higher than that in non-sepsis group(P<0.01).The area under the curve(AUC,95%CI)of PLT,RR and PLT/RR were 0.858(0.785-0.931),0.693(0.589-0.796)and 0.902(0.843-0.962),respectively.The optimal cut-off values were 146.5×109/L,20.5 per minute and 8.075,respectively.The specificity were 8.1%,83.8%and 2.7%,respec-tively.The sensitivity was 33.3%,50.8%and 30.2%,respectively.Compared with the non-sepsis group,the sepsis group had a significantly higher SIRS score(P<0.001),a significantly lower MEWS(P<0.000 1),and no significant difference in qSOFA score between the two groups(P>0.05).The AUC(95%CI)of SIRS score,MEWS and qSOFA score in predicting secondary sepsis in pneumonia patients were 0.717(0.616-0.818),0.748(0.650-0.846)and 0.505(0.389-0.622),respectively.The optimal cut-off values were 4.5,2.5 and 1.5 points,respectively.The specificity were 91.9%,2.7%and 100.0%,respectively.The sensitivity was 42.9%,33.3%and 6.3%,respectively.PLT and PLT/RR in death group were lower than those in sur-vival group(P<0.05),RR was higher than that in survival group(P<0.05).Secondary sepsis in pneumonia patients were followed up for 30 d,Kaplan-Meier survival curve showed that patients with PLT≤138.5×109/L had a lower 30 d survival rate(P=0.007 8).Patients with RR>24.5 per minute had a lower 30 d sur-vival rate(P=0.016 1).Patients with PLT/RR≤6.375 had a lower 30 d survival rate(P=0.002 3).Conclu-sion PLT/RR can be used as a biological index to predict secondary sepsis in pneumonia patients,which is better than SIRS score,MEWS and qSOFA score,and the prognosis of secondary sepsis in pneumonia patients with low PLT/RR is worse.

With the wide application of stable isotope tracer metabolomics technology, its comprehensive analysis and in-depth mining of data are particularly important, and metabolic flux analysis is one of the main technical means, especially in the study of glucose metabolism. Metabolic flux analysis technology combines isotope tracing with mathematical models to deduce and calculate the metabolic flux between metabolites. The metabolic flux provides more information for research and reflects a dynamic metabolic process more clearly and specifically. This paper reviews the basic process, precautions, and application examples of metabolic flux analysis in glucose metabolism research, and provides a reference for the application of metabolic flux analysis based on stable isotope tracer metabolomics in glucose metabolism research.

Objective:To evaluate the performance, efficacy and safety of a novel portable endoscopy system for upper gastrointestinal examination.Methods:A multicentered, open-label, randomized, non-inferiority controlled study was conducted in 3 clinical research centers from June 2019 to June 2020, and a total of 90 outpatients admitted to Department of Gastroenterology were randomly assigned to the trial group ( n=44) undergoing portable endoscopy and the control group ( n=46) undergoing Olympus endoscopy. The examination success rate, image quality, performance, overall operation satisfaction rate, biopsy success rate and adverse events of the two groups were compared. Results:The examination success rates of the trial group and the control group were 97.73% (43/44) and 100.00% (46/46) respectively with a difference of -2.27% (95% CI: -6.68%-2.13%), higher than the set non-inferiority margin of -10%. Rates of good and excellent image quality were 100% in both groups, and the difference of 0 was higher than the set non-inferiority margin of -10%. There was no significant difference in the rate of good and excellent performance of the operating system between the two groups [97.67% (42/43) VS 100.00% (46/46), P=0.483]. There was significant difference in the overall satisfactory rate of the operation between the two groups [86.05% (37/43) VS 100.00% (46/46), P=0.011]. A total of 9 cases underwent endoscopic biopsy, including 5 cases in the trial group and 4 cases in the control group. The biopsy channels in both groups were smooth and the biopsy were successfully completed. There was no significant difference in adverse event rate between the two groups [25.00% (11/44) VS 10.87%(5/46), χ2=3.07, P=0.080]. All adverse events disappeared in 48 hours, and no severe adverse events or device defect events occurred. Conclusion:The novel portable endoscopic system is comparable to Olympus endoscopic system in terms of the operating performance, the image quality and safety. Therefore, this system is safe and effective for upper gastrointestinal examination.

With the rapid development of high sensitivity detection techniques such as nuclear magnetic resonance and mass spectrometry, stable isotope-resolved metabolomics has been widely used in elucidating the regulatory mechanism of metabolic pathways and metabolic flow analysis, and some breakthroughs have been made. In this paper the application of stable isotope-resolved metabolomics in glucose catabolic regulation, metabolic flow analysis and functional interpretation of key metabolic pathways is reviewed, providing references for the wider use and application of this technology.

Depression is a common mood disorder, which is harmful to public health critically. Gastrointestinal diseases are a series of diseases with both dynamic changes and organic disease, including functional gastrointestinal disease, gastroesophageal reflux disease, gastritis, and gastric ulcer. In recent years, the phenomena of comorbid depression and gastrointestinal disease have become common, however, most patients were diagnosed as unilateral depression or gastrointestinal disease in the clinical treatment process, resulting in delayed treatment or even invalid. The present review focuses on some of the clinical symptoms of comorbid depression and gastrointestinal disease, and begins to explore the possible pathogenesis, so as to find out the potential neurobiological pathways of comorbidity. Consequently, the more attention on comorbid depression and gastrointestinal disease will be paid, and the clinical and basic research of comorbidity and the drug development will be provided.

With the rapid development of high-sensitivity detection methods, stable isotope tracing technique has received increasing attention. Stable isotope tracing technique can accurately track the activity of labeled compounds in the body through the tracer atoms and determine their specific metabolic pathways based on the distribution of isotopic peaks of the intermediate metabolites. By calculating the flux, the metabolic pathways are analyzed to provide a basis for the study of disease mechanism and drug metabolism. In recent years, the technique has a wide application in the field of biomedicine. This paper summarizes the applications of stable isotopic tracer technique in the metabolic regulation of endogenous substances such as carbohydrate metabolism, lipid metabolism, amino acid metabolism, hormone metabolism, nucleic acid metabolism, and so on.