This study aimed to characterize and identify the non-volatile components in aqueous and ethanolic extracts of the stems and leaves of Rhododendron tomentosum by using sensitive and efficient ultra-performance liquid chromatography-quadrupole-time of flight mass spectrometry(UHPLC-Q-TOF-MS) combined with a self-built information database. By comparing with reference compounds, analyzing fragment ion information, searching relevant literature, and using a self-built information database, 118 compounds were identified from the aqueous and ethanolic extracts of R. tomentosum, including 35 flavonoid glycosides, 15 phenolic glycosides, 12 flavonoids, 7 phenolic acids, 7 phenylethanol glycosides, 6 tannins, 6 phospholipids, 5 coumarins, 5 monoterpene glycosides, 6 triterpenes, 3 fatty acids, and 11 other types of compounds. Among them, 102 compounds were reported in R. tomentosum for the first time, and 36 compounds were identified by comparing them with reference compounds. The chemical components in the ethanolic and aqueous extracts of R. tomentosum leaves and stems showed slight differences, with 84 common chemical components accounting for 71.2% of the total 118 compounds. This study systematically characterized and identified the non-volatile chemical components in the ethanolic and aqueous extracts of R. tomentosum for the first time. The findings provide a reference for active ingredient research, quality control, and product development of R. tomentosum.
Rhododendron/chemistry* ; Chromatography, High Pressure Liquid/methods* ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Plant Leaves/chemistry*

OBJECTIVE: To explore the relationship between serum chloride levels and prognosis in patients with hepatic coma in the intensive care unit (ICU). METHODS: We analyzed 545 patients with hepatic coma in the ICU from the Medical Information Mart for Intensive Care IV (MIMIC-IV) database. Associations between serum chloride levels and 28-day and 1-year mortality rates were assessed using restricted cubic splines (RCSs), Kaplan-Meier (KM) curves, and Cox regression. Subgroup analyses, external validation, and mechanistic studies were also performed. RESULTS: A total of 545 patients were included in the study. RCS analysis revealed a U-shaped association between serum chloride levels and mortality in patients with hepatic coma. The KM curves indicated lower survival rates among patients with low chloride levels (< 103 mmol/L). Low chloride levels were independently linked to increased 28-day and 1-year all-cause mortality rates. In the multivariate models, the hazard ratio ( HR) for 28-day mortality in the low-chloride group was 1.424 (95% confidence interval [ CI]: 1.041-1.949), while the adjusted hazard ratio for 1-year mortality was 1.313 (95% CI: 1.026-1.679). Subgroup analyses and external validation supported these findings. Cytological experiments suggested that low chloride levels may activate the phosphorylation of the NF-κB signaling pathway, promote the expression of pro-inflammatory cytokines, and reduce neuronal cell viability. CONCLUSION Low serum chloride levels are independently associated with increased mortality in patients with hepatic coma.
Humans ; Male ; Female ; Middle Aged ; Intensive Care Units ; Prognosis ; Chlorides/blood* ; Aged ; Coma/blood* ; Adult

L-citrulline is a nonprotein amino acid that plays an important role in human health and has great market demand. Although microbial cell factories have been widely used for biosynthesis, there are still challenges such as genetic instability and low efficiency in the biosynthesis of L-citrulline. In this study, an efficient, plasmid-free, non-inducible L-citrulline-producing strain of Escherichia coli BL21(DE3) was engineered by combined strategies. Firstly, a chassis strain capable of synthesizing L-citrulline was constructed by block of L-citrulline degradation and removal of feedback inhibition, with the L-citrulline titer of 0.43 g/L. Secondly, a push-pull-restrain strategy was employed to enhance the L-citrulline biosynthesis, which realized the L-citrulline titer of 6.0 g/L. Thirdly, the NADPH synthesis and L-citrulline transport were strengthened to promote the synthesis efficiency, which achieved the L-citrulline titer of 11.6 g/L. Finally, fed-batch fermentation was performed with the engineered strain in a 3 L fermenter, in which the L-citrulline titer reached 44.9 g/L. This study lays the foundation for the industrial production of L-citrulline and provides insights for the modification of other amino acid metabolic networks.
Citrulline/biosynthesis* ; Escherichia coli/genetics* ; Metabolic Engineering/methods* ; Fermentation ; NADP/biosynthesis*

Objective:To investigate the value of electrical cardiometry(EC),a noninvasive hemodynamic testing technique,in the di-agnosis of heart failure(HF)in adults.Methods:A prospective study was conducted among the adult patients who were hospitalized in Department of Cardiology,The First Affiliated Hospital of Chongqing Medical University,from September 2022 to May 2024,and the patients who were diagnosed with HF were enrolled as HF group,while those who were excluded from the clinical diagnosis of HF were enrolled as control group.The two groups were compared in terms of general clinical data and related parameters measured by EC,in-cluding stroke volume variation(SVV),systolic time ratio(STR),pre-ejection period(PEP),index of contractility(ICON),ICON varia-tion(VIC),left ventricular ejection time(LVET),and left ventricular ejection fraction(LVEF).A multivariate logistic regression model established by the forward method was used to investigate the factors associated with HF.The receiver operating characteristic(ROC)curve was plotted for the hemodynamic parameters measured by EC in the diagnosis of HF,and the area under the ROC curve(AUC)was calculated.Results:A total of 239 patients were enrolled,with 126 in the HF group and 113 in the control group.Compared with the control group,the HF group had significantly higher SVV,STR,PEP,VIC,and age and significantly lower ICON,LVET,and LVEF(all P<0.001).The multivariate logistic regression model estab-lished by the forward method showed that STR(odds ratio[OR]=1.199,95%CI=1.110-1.294,P<0.001),VIC(OR=1.176,95%CI=1.090-1.269,P<0.001),and age(OR=1.068,95%CI=1.010-1.128,P<0.05)were positively correlated with HF,and ICON(OR=0.968,95%CI=0.941-0.996,P<0.05)and LVEF(OR=0.854,95%CI=0.798-0.913,P<0.001)were negatively correlated with HF.The ROC curve analysis showed that STR,VIC,and ICON had an AUC of 0.887(95%CI=0.848-0.927),0.891(95%CI=0.851-0.932),and 0.718(95%CI=0.654-0.782),respectively,in the diagnosis of HF,with an optimal cut-off value of 37.5%,19.5%,and 49.3,respec-tively,a sensitivity of 91.3%,73.8%,and 50.0%,respectively,and a specificity of 61.4%,93.8%,and 86.7%,respectively.Among these indicators,STR combined with VIC had an AUC of 0.940(95%CI=0.912-0.967)in the diagnosis of HF,with a sensitivity of 83.3%and a specificity of 91.2%.Conclusion:The EC method can effectively assess the cardiac functional status of adult patients,and STR combined with VIC has some clinical value for the diagnosis of heart failure.

Objective To analyze the clinical characteristics,treatment,and prognosis of immune checkpoint inhibitor-related diabetes mellitus(ICI-DM).Methods The clinical characteristics,laboratory examinations,treatment regimens,and follow-up outcomes of 10 ICI-DM patients who were diagnosed and treated in the First Medical Center of Chinese PLA General Hospital between July 2019 and December 2024 were retrospectively analyzed.Relevant literatures were retrieved from domestic and foreign databases such as PubMed,CNKI,and VIP.The clinical characteristics of ICI-DM were summarized based on the literature results.Results All 10 patients were PD-1 inhibitor users,including 5 males and 5 females,with a median age of 54.5(51.3,64.0)years and a body mass index(BMI)of(22.0±2.15)kg/m2.Among them,9 cases(90.0%)were fulminant type 1 diabetes mellitus(FT1DM);9 cases(90.0%)had a severity of adverse events reaching grade 3-4 according to the Common Terminology Criteria for adverse events(CTCAE).The median time from PD-1 inhibitor treatment to the occurrence of the classic diabetes symptoms referred to as"three more and one less"(polyuria,polydipsia,polyphagia,and weight loss)in all patients was 145.5(110.5,204.8)days,and the medication duration was 6.0(4.3,7.8)cycles.The average blood glucose level of the 10 patients at the time of consultation was 25.3(10.0-41.4)mmol/L,and the glycated hemoglobin(HbA1c)level was 8.0%(6.6%-10.9%).Eight patients had fasting and 2-hour C-peptide levels<0.1 ng/ml(fasting C-peptide from<0.010 to 0.067 ng/ml,2-hour C-peptide from<0.010 to 0.077 ng/ml).Nine of the 10 patients were negative for diabetes autoantibodies,while 1 was not tested.All 10 patients were successfully treated with insulin and other therapies.During the follow-up after discharge,all patients still relied on insulin treatment,and no significant recovery of pancreatic islet β cell function was observed compared with that at discharge.Literature review revealed that ICI-DM was more common in PD-1 inhibitor users,with clinical mainly manifested as diabetic ketoacidosis(DKA)(65.4%)and diabetic ketosis(13.1%).Patients had severely impaired pancreatic islet function and required long-term insulin treatment,and some cases were complicated by thyroid or pituitary dysfunction.Conclusions ICI-DM typically presents as FT1DM,often manifesting with DKA or diabetic ketosis at onset.It is characterized by severe and irreversible loss of pancreatic islet function,necessitating lifelong insulin therapy.To enable early detection and prompt treatment,close monitoring of blood glucose is essential during ICI treatment.

Lung cancer has the highest incidence and mortality among malignant tumors in China.Persistent subsolid nodules(SSNs)are closely associated with early-stage lung adenocarcinoma.Artificial intelligence(AI),as an emerging technology,is capable of performing in-depth analysis of large-scale imaging data through autonomous learning and possesses the ability to predict outcomes from new data,demonstrating great potential and application prospects in the assessment of SSNs.AI can not only effectively assist radiologists in diagnosis and treatment,but also improve work efficiency while reducing misdiagnosis and missed diagnosis rates.This review summarizes the recent applications and research progress of AI in the assessment of SSNs,to provide new insights for the diagnosis and treatment of SSNs.

Immunotherapy has become a pivotal treatment regimen for hepatocellular carcinoma (HCC); however, its efficacy is influenced by various factors. Hepatitis B virus (HBV) infection is one of the primary etiological factors leading to HCC. HBV DNA replication can alter the immune microenvironment through multiple mechanisms, notably by upregulating the expression of programmed cell death protein 1 (PD-1) and its ligand (PD-L1), thereby facilitating tumor immune escape. Paradoxically, this upregulation of PD-1/PD-L1 may enhance the response rate to PD-1/PD-L1 inhibitors and potentiate the antitumor effect. This review aims to summarize current research progress on the relationship between HBV DNA load and the efficacy of PD-1/PD-L1 inhibitors, explore the underlying mechanisms, and provide a scientific basis for promoting personalized treatment strategies for patients with HBV-related HCC.