Objective To explore the dynamic changes of gut microbiota metabolites in septic patients following admission, as well as the correlations between these metabolites, the gut microbiota, and the prognosis of septic patients. Methods A total of 119 fecal samples were collected from 23 septic patients, 16 non-septic patients admitted to the Emergency Intensive Care Unit (ICU), and 20 healthy controls at Zhongshan Hospital, Fudan University, from January to August 2019. The 16S rRNA gene sequencing technology was applied to analyze the microbiome, while ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) was used for metabolomics research. The R software was used to analyze the gut microbiota and metabolite data. Based on 180-day survival status after admission, the sepsis group was divided into the survival group (n＝15) and the death group (n＝8) to analyze differential metabolites between the two groups. Spearman correlation coefficients were used to assess correlations between gut microbiota and metabolites. Results In the first week of ICU stay, gut microbiota metabolites such as nicotinic acid, methylsuccinic acid, and glutaric acid were significantly lower in septic patients than in healthy controls (P＜0.05), whereas tryptophan, histidine, valine, and pyroglutamic acid were higher in septic patients (P＜0.05). The methylsuccinic acid and phenylacetic acid levels in the first week were lower in the death group than those in the survival group (P＜0.05), and the levels of methylsuccinic acid, phenylacetic acid, and glutaric acid were lower in the third week (P＜0.05). Further analysis indicated that methylsuccinic acid was closely associated with sepsis prognosis. These differential metabolites involved in metabolic pathways such as phenylalanine metabolism and β-alanine metabolism. Most differential amino acids were positively correlated with opportunistic pathogens but negatively correlated with normal gut microbiota. Conversely, metabolites such as nicotinic acid, phenylacetic acid, methylsuccinic acid, and glutaric acid were negatively correlated with opportunistic pathogens and positively correlated with normal gut microbiota. Conclusions Significant dynamic changes occur in gut microbiota metabolites in septic patients, with methylsuccinic acid, phenylacetic acid, and glutaric acid potentially playing important roles in determining patient prognosis.

Solid-phase extraction(SPE)combined with surface-enhanced Raman spectroscopy(SERS)has emerged as a promising analytical technique for detection and analysis of trace components in complex sample matrices.SPE enriches analytes through selective adsorption and solvent elution,effectively increasing the concentration and signal intensity.SERS enables ultra-sensitive and highly selective molecular analysis through the use of SERS-active substrates engineered to amplify Raman signals.The integration of these two techniques overcomes the limitations of conventional Raman spectroscopy in low-concentration detection field,while significantly improving sample preparation efficiency and analytical accuracy.This review provided a comprehensive overview of the characteristics of three SPE-SERS coupling modes,including two-step,one-step,and online integration.Special emphasis was placed on recent advancements in one-step SPE-SERS approaches based on novel functional adsorbent materials such as graphene,metal-organic frameworks,covalent organic frameworks,and molecularly imprinted polymers.Furthermore,future directions and development prospects of SPE-SERS technology were discussed.

Objective: To explore the association of milk tea consumption with comorbid of overweight/obesity and depressive symptoms among college students, so as to provide a reference for promoting the physical and mental health of college students. Methods: A questionnaire survey was conducted from August to October 2023 using convenience sampling among 13 920 students from nine universities in Shanghai, Jiangxi, and Hubei provinces (municipality directly under the central government). Information on college students demographic characteristics, milk tea consumption, overweight/obesity status, and depressive symptoms was collected. Chi square tests were used to compare the association between different demographic characteristics and milk tea consumption with comorbid overweight/obesity and depressive symptoms. Multivariate Logistic regression analysis was performed to infer the strength of the association. Results: The detection rate of comorbidity of overweight/obesity and depressive symptoms was 5.8% among college students. The univariate analysis revealed statistically significant differences in the detection rate of comorbidity of overweight/obesity and depressive symptoms among various groups, including gender, grade, parents education level, only child status, family economic status, meeting moderate to high levels of physical activity standards, sleep quality, and frequent fast food consumption ( χ 2= 82.10, 23.07, 8.91, 10.87 , 4.56, 47.60, 17.60, 386.74, 96.61, P <0.05). There were also statistically significant differences between groups based on milk tea consumption frequency and quantity ( χ 2=42.12, 38.76, P <0.01). Compared with the group of without consuming milk tea, Logistic regression analysis showed that college students who consumed milk tea 4-5 times and ≥6 times had higher risk of comorbid overweight/obesity and depressive symptoms ( OR =1.98, 2.46), and college students who consumed 1-1 500 mL and ≥3 000 mL of milk tea also had higher comorbidity risk ( OR =1.52, 1.22) ( P <0.05). Conclusions Frequent and excessive milk tea consumption among college students may increase the risk of comorbid of overweight/obesity and depressive symptoms. It is recommended to reduce the frequency and quantity of milk tea consumption to improve college students physical and mental health.

BACKGROUND:Disseminated intravascular coagulation(DIC)is associated with increased mortality in sepsis patients.In this study,we aimed to assess the clinical ability of sepsis-induced coagulopathy(SIC)and sepsis-associated coagulopathy(SAC)criteria in identifying overt-DIC and pre-DIC status in sepsis patients. METHODS:Data from 419 sepsis patients were retrospectively collected from July 2018 to December 2022.The performances of the SIC and SAC were assessed to identify overt-DIC on days 1,3,7,or 14.The SIC status or SIC score on day 1,the SAC status or SAC score on day 1,and the sum of the SIC or SAC scores on days 1 and 3 were compared in terms of their ability to identify pre-DIC.The SIC or SAC status on day 1 was evaluated as a pre-DIC indicator for anticoagulant initiation. RESULTS:On day 1,the incidences of coagulopathy according to overt-DIC,SIC and SAC criteria were 11.7％,22.0％and 31.5％,respectively.The specificity of SIC for identifying overt-DIC was significantly higher than that of the SAC criteria from day 1 to day 14(P＜0.05).On day 1,the SIC score with a cut-off value＞3 had a significantly higher sensitivity(72.00％)and area under the curve(AUC)(0.69)in identifying pre-DIC than did the SIC or SAC status(sensitivity:SIC status 44.00％,SAC status 52.00％;AUC:SIC status 0.62,SAC status 0.61).The sum of the SIC scores on days 1 and 3 had a higher AUC value for identifying the pre-DIC state than that of SAC(0.79 vs.0.69,P＜0.001).Favorable effects of anticoagulant therapy were observed in SIC(adjusted hazard ratio[HR]=0.216,95％confidence interval[95％CI]:0.060-0.783,P=0.018)and SAC(adjusted HR=0.146,95％CI:0.041-0.513,P=0.003). CONCLUSION:The SIC and SAC seem to be valuable for predicting overt-DIC.The sum of SIC scores on days 1 and 3 has the potential to help identify pre-DIC.

As a common protease with high similarity among coronavirus species, the main protease (M^pro) of SARS-CoV-2 is responsible for the catalytic hydrolysis of viral precursor proteins into functional proteins, which is essential for coronavirus replication and is one of the ideal targets for the development of broad-spectrum antiviral drugs. This paper reviews the main protease inhibitors of SARS-CoV-2, including their molecular structures, potencies and drug-like profiles, binding modes and structure-activity relationships, etc.

COVID-19 epidemic continues to spread around the world till these days, and it is urgent to develop more safe and effective new drugs. Due to the limited P3 biosafety laboratories for directly screening inhibitors of virulent viruses with high infectivity, it is necessary to develop rapid and efficient screening methods for viral proteases and other related targets. The main protease (M^pro), which plays a key role in the replication cycle of SARS-CoV-2, is highly conserved and has no homologous proteases in humans, making it an ideal target for drug development. From two different levels, namely, molecular level and cellular level, this paper summarizes the reported screening methods of SARS-CoV-2 M^pro inhibitors through a variety of representative examples, expecting to provide references for further development of SARS-CoV-2 M^pro inhibitors.

The present study optimized the ethanol extraction process of Ziziphi Spinosae Semen-Schisandrae Sphenantherae Fructus drug pair by network pharmacology and Box-Behnken method. Network pharmacology and molecular docking were used to screen out and verify the potential active components of Ziziphi Spinosae Semen-Schisandrae Sphenantherae Fructus, and the process evaluation indexes were determined in light of the components of the content determination under Ziziphi Spinosae Semen and Schisandrae Sphenantherae Fructus in the Chinese Pharmacopoeia(2020 edition). The analytic hierarchy process(AHP) was used to determine the weight coefficient of each component, and the comprehensive score was calculated as the process evaluation index. The ethanol extraction process of Ziziphi Spinosae Semen-Schisandrae Sphenantherae Fructus was optimized by the Box-Behnken method. The core components of the Ziziphi Spinosae Semen-Schisandrae Sphenantherae Fructus drug pair were screened out as spinosin, jujuboside A, jujuboside B, schisandrin, schisandrol, schisandrin A, and schisandrin B. The optimal extraction conditions obtained by using the Box-Behnken method were listed below: extraction time of 90 min, ethanol volume fraction of 85%, and two times of extraction. Through network pharmacology and molecular docking, the process evaluation indexes were determined, and the optimized process was stable, which could provide an experimental basis for the production of preparations containing Ziziphi Spinosae Semen-Schisandrae Sphenantherae Fructus.
Ethanol ; Molecular Docking Simulation ; Network Pharmacology ; Seeds/chemistry* ; Ziziphus/chemistry* ; Plant Extracts/chemistry* ; Schisandra/chemistry* ; Fruit/chemistry* ; Technology, Pharmaceutical

Prunellae Spica is the dried spica of Prunella vulgaris belonging to Labiatae and it is widely used in pharmaceutical and general health fields. As a traditional Chinese medicine cultivated on a large scale, it produces a large amount of non-medicinal parts, which are discarded because they are not effectively used. To analyze the chemical constituents in the different samples from spica, seed, stem, and leaf of P. vulgaris, and explore the application value and development prospect of these parts, this study used ultrahigh performance liquid chromatography-tandem quadrupoles time of flight mass spectrometry(UPLC-Q-TOF-MS/MS) to detect chemical constituents in different parts of P. vulgaris. As a result, 117 compounds were detected. Among them, 87 compounds were identified, including 32 phenolic acids, 8 flavonoids, and 45 triterpenoid saponins. Some new triterpenoid saponins containing the sugar chain with 4-6 sugar units were found. Further, multivariate statistical analysis was conducted on BPI chromatographic peaks of multiple batches of different parts, and the results showed that spica had the most abundant chemical constituents, including salviaflaside and linolenic acid highly contained in the seed and phenolic acids, flavonoids, and triterpenoid saponins in the stem and leaf. In general, the constituents in the spica were composed of those in the seed, stem, and leaf. UPLC was used to determine the content of 6 phenolic acids(danshensu, protocatechuic acid, protocatechuic aldehyde, caffeic acid, salviaflaside, and rosmarinic acid) in different parts. The content of other phenolic acids in the seed was generally lower than that in the spica except that of salviaflaside. The content of salviaflaside in the spica was higher than that in the stem and leaf, but the content of other phenolic acids in the spica was not significantly different from that in the stem. The content of protocatechuic aldehyde and caffeic acid in the spica was lower than that in the leaf. DPPH free radical scavenging method was used to detect the antioxidant activity of four parts, and there was no significant difference in the antioxidant activity between the spica and the stem and leaf, but that was significantly higher than the seed. Moreover, the antioxidant activity of these parts was correlated with the content of total phenolic acids. Based on the above findings, the stem and leaf of P. vulgaris have potential application value. Considering the traditional medication rule, it is feasible to use the whole plant as a medicine. Alternatively, salviaflaside, occurring in the seed, can be used as a marker compound for the quality evaluation of Prunellae Spica, if only using spica as the medicinal part of P. vulgaris, as described in the Chinese Pharmacopoeia(2020 edition).
Antioxidants/chemistry* ; Tandem Mass Spectrometry/methods* ; Prunella/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Caffeic Acids ; Flavonoids/analysis* ; Triterpenes/analysis* ; Saponins ; Sugars

Activated fibroblasts and M2-polarized macrophages may contribute to the progression of pulmonary fibrosis by forming a positive feedback loop. This study was aimed to investigate whether fibroblasts and macrophages form this loop by secreting SDF-1 and TGF-β and the impacts of neotuberostemonine (NTS) and tuberostemonine (TS). Mice were intratracheally injected with 3 U·kg^-1 bleomycin and orally administered with 30 mg·kg^-1 NTS or TS. Primary pulmonary fibroblasts (PFBs) and MH-S cells (alveolar macrophages) were used in vitro. The animal experiments showed that NTS and TS improved fibrosis related indicators, inhibited fibroblast activation and macrophage M2 polarization, and reduced the levels of TGF-β and SDF-1 in alveolar lavage fluid. Cell experiments showed that TGF-β1 may activated fibroblasts into myofibroblasts secreting SDF-1 by activating the PI3K/AKT/HIF-1α and PI3K/PAK/RAF/ERK/HIF-1α pathways. It was also found for the first time that SDF-1 was able to directly polarize macrophages into M2 phenotype secreting TGF-β through the same pathways as mentioned above. Moreover, the results of the cell coculture confirmed that fibroblasts and macrophages actually developed a feedback loop to promote fibrosis, and the secretion of TGF-β and SDF-1 was crucial for maintaining this loop. NTS and TS may disturb this loop through inhibiting both the PI3K/AKT/HIF-1α and PI3K/PAK/RAF/ERK/HIF-1α pathways to improve pulmonary fibrosis. NTS and TS are stereoisomeric alkaloids with pyrrole[1,2-a]azapine skeleton, and their effect on improving pulmonary fibrosis may be largely attributed to their parent nucleus. Moreover, this study found that inhibition of both the AKT and ERK pathways is essential for maximizing the improvement of pulmonary fibrosis.
Animals ; Mice ; Pulmonary Fibrosis/metabolism* ; Transforming Growth Factor beta/pharmacology* ; Proto-Oncogene Proteins c-akt/metabolism* ; Phosphatidylinositol 3-Kinases/metabolism* ; MAP Kinase Signaling System ; Alkaloids/pharmacology* ; Fibroblasts ; Macrophages/metabolism*

Objective:Evaluation of combined inflammatory and coagulation markers for early identification of DIC in septic patients.Methods:This study was a single-center, retrospective, observational study involving 356 patients with sepsis. Sepsis was defined by the diagnostic criteria of Sepsis version 3.0. Definition of DIC was from the International Society on Thrombosis and Hemostasis (ISTH) DIC Score. Inflammatory biomarkers, including tumor necrosis factor (TNF)-α, interleukin (IL)-1β,2R,6,8,10, etc. and biomarkers of coagulation, like platelet (PLT), international normalized ratio (INR), D-dimer, fibrinogen (Fib), etc. were included in this study.Results:Among 356 patients with sepsis, 301 patients did not develop DIC (non-DIC) during hospitalization, 32 patients had DIC on the day of admission (overt-DIC), and 23 patients developed DIC within 1 week of admission (pre-DIC). Compared to non-DIC patients, pre-DIC patients had lower platelet counts and fibrinogen ( P < 0.05), higher levels of INR and D-dimer ( P < 0.05), higher levels of cytokines (TNF-α、IL-1β、IL-2R、IL-8、IL-10) and procalcitonin ( P < 0.05), higher APACHEⅡ and SOFA scores ( P < 0.05). Using receiver operating characteristics (ROC) analysis, we found that some biomarkers of coagulation and inflammation could discriminate pre-DIC from non-DIC patients. The area under the curve (AUC) of INR in the ROC analysis was 0.773 (95% CI: 0.696-0.851), the AUC of IL-2R was 0.700 (95% CI: 0.599-0.798) which is highest among inflammation markers, the highest AUC was obtained from the combination of platelets, INR, Fib, D-dimer and IL-2R (AUC = 0.843; 95% CI: 0.758-0.928). Kaplan-Meier survival curve suggested that high level of IL-2R (> 1064.5 U/mL) was a valuable predictor of 28-day mortality in septic patients. Conclusion:Inflammatory marker, IL-2R, is related to the occurrence of DIC in septic patients and has predictive value for pre-DIC. Combination of coagulation (platelets, INR, Fib, D-dimer) and inflammatory markers (IL-2R) can help to identify pre-DIC state in septic patients.