With the concurrent development of traditional Chinese medicine （TCM） and metabolomics in the diagnosis and treatment of liver failure， techniques such as nuclear magnetic resonance， mass spectrometry， chromatography， metabolic flux analysis， and bioinformatics enable the qualitative or quantitative analysis of endogenous small molecule metabolites in animal models of liver failure and patients with liver failure. These methods help identify specific biomarkers for early diagnosis and clinical intervention. This article reviews recent advancements in metabolomics for the early diagnosis of liver failure， biomarker discovery， identification of TCM syndromes， and the application of TCM in treating liver failure， aiming to provide a basis for TCM-based diagnosis and treatment of liver failure.

Abstract: The differential expression and subcellular localization of single-cell proteins are closely related to the physiological state and pathological mechanisms of the body. The development of single-cell protein in situ imaging methods provides powerful tools for spatial single-cell proteomics research and single-cell protein profiling. This article summarizes the single-cell protein imaging methods developed in recent years, including the circulating immunofluorescence imaging methods based on ordered multi-round antibody incubation, mass spectrometry imaging based on metal element labeled antibodies, fluorescence imaging based on DNA-barcoded antibody, gene encoded fluorescence protein imaging and spectral imaging based on Raman spectroscopy or X-ray spectroscopy, with brief explanation of the imaging principles of these methods. It focuses on the multiple performance, imaging resolution and signal amplification performance of these methods, and analyzes their application characteristics in practical scientific research and clinical work, in the hope of providing some reference for the development of more revolutionary single-cell imaging methods, and promoting the development of biomedical and precision medicine.

Objective To observe the effect of Baduanjin exercise on depression,sleep quality and life quality of patients with breast cancer in the rehabilitation period.Methods A total of 76 breast can-cer patients in postoperative rehabilitation were randomly divided into an intervention group of 38 with 2 dropping out,and a control group of 38 with 3 dropouts.Both groups received routine nursing and rehabilitation after breast cancer surgery,while the intervention group additionally practised Baduanjin for 6 weeks.The Beck Depression Inventory-Ⅱ(BDI-Ⅱ-C),Pittsburgh Sleep Quality Index(PSQI)and Quality of Life Questionnaire Core 30(EORTC QLQ-C30)were used to evaluate both groups be-fore,as well as 3 and 6 weeks after intervention.Results After 3-week intervention,the average BDI-Ⅱ-C score,the total PSQI score and the scores of all dimensions except for the hypnotic drug dimen-sion of the intervention group was significantly lower than before treatment(P<0.05),and the control group at the same time point(P<0.05),while the scores of physical,emotional,cognitive,social and role function in EORTC QLQ-C30 were significantly higher than the latter(P<0.05).Three weeks lat-er,the average BDI-Ⅱ-C score,the total PSQI score and the scores of all dimensions except for the hypnotic drug dimension of the intervention group was significantly lower than before treatment(P<0.05),and the control group at the same time point(P<0.05),while the various scores of EORTC QLQ-C30 were significantly higher than the latter(P<0.05).Compared with after 3-week intervention,after 6-week intervention,the average BDI-Ⅱ-C score,the total PSQI score and the scores of its all dimensions except for the sleep disorder dimension of the intervention group decreased significantly,while all dimension scores of EORTC QLQ-C30 except the cognitive function dimension increased sig-nificantly(P<0.05 for all).Conclusion Baduanjin is feasible in improving the sleep and life quality of patients in the rehabilitation period after breast cancer surgery,and relieving their depression.

Objective:To study the trinucleotide repeats of GCN (GCA, GCT, GCC, GCG) encoding Alanine in exon 3 of the PHOX2B gene among healthy individuals from southwest China and two patients with Congenital central hypoventilation syndrome (CCHS). Methods:The number and sequence of the GCN repeats of the PHOX2B gene were analyzed by capillary electrophoresis, Sanger sequencing and cloning sequencing of 518 healthy individuals and two newborns with CCHS, respectively. Results:Among the 1036 alleles of the 518 healthy individuals, five alleles were identified, including (GCN) 7, (GCN) 13, (GCN) 14, (GCN) 15 and (GCN) 20. The frequency of the (GCN) 20 allele was the highest (94.79%). And five genotypes were identified, which included (GCN) 7/(GCN) 20, (GCN) 13/(GCN) 20, (GCN) 14/(GCN) 20, (GCN) 15/(GCN) 20, (GCN) 20/(GCN) 20. The homozygous genotypes were all (GCN) 20/(GCN) 20, and the carrier rate was 89.58%. Four GCN sequences of the (GCN) 20 homozygous genotypes were identified among the 464 healthy individuals. The GCN repeat numbers in the exon 3 of the PHOX2B gene showed no significant difference between the expected and observed values, and had fulfilled the, Hardy-Weinberg equilibrium. The genotypes of the two CCHS patients were (GCN) 20/(GCN) 25 and (GCN) 20/(GCN) 30, respectively. Conclusion:It is important to determine the GCN repeats and genotypic data of the exon 3 of the PHOX2B gene among the healthy individuals. The number of GCN repeats in 518 healthy individuals was all below 20. The selection of appropriate methods can accurately detect the polyalanine repeat mutations (PARMs) of the PHOX2B gene, which is conducive to the early diagnosis, intervention and treatment of CCHS.

OBJECTIVE: To investigate the effect of circulating exosomes (EXO) on T cell function in patients with sepsis. METHODS: Plasma EXO were obtained by ultracentrifugation from 10 patients with sepsis admitted to the emergency intensive care unit of Guangdong Provincial People's Hospital Affiliated to Southern Medical University. Transmission electron microscopy observation, nanoparticle tracking analysis (NTA), and Western blotting were used to detect EXO markers to identify their characteristics. Furthermore, peripheral blood mononuclear cells (PBMC) were isolated from the peripheral blood of 5 healthy volunteers, primary T cells were sorted by magnetic beads and expanded in vitro. After 24 hours of intervention with different doses (0, 1, 2.5, 5, 10 mg/L) of circulating EXO in patients with sepsis, T-cell activity was assessed using a cell counting kit-8 (CCK-8). The expression of T cell activation indicators CD69 and CD25 were observed using flow cytometry. Additional evaluations were performed on immunosuppressive indicators including the expression of programmed cell death 1 (PD-1) in CD4⁺ T cells and the proportion of regulatory T cell (Treg). RESULTS: The identification results confirmed that the successful isolation of EXO from the plasma of sepsis patients. The expression level of circulating EXO in sepsis patients was higher than that in healthy control group (mg/L: 48.78±5.14 vs. 22.18±2.25, P < 0.01). After 24 hours of intervention with 5 mg/L of plasma EXO from sepsis patients, T cells activity began to show suppression [(85.84±0.56)% vs. (100.00±0.00)%, P < 0.05]. As the dosage increased, after 24 hours of intervention with 10 mg/L of EXO, T cells activity was significantly suppressed [(72.44±2.36)% vs. (100.00±0.00)%, P < 0.01]. Compared with the healthy control group, after T cells intervention with plasma EXO from sepsis patients, the expression of early activation marker CD69 was significantly reduced [(52.87±1.29)% vs. (67.13±3.56)%, P < 0.05]. Meanwhile, there was an upregulation of PD-1 expression in T cells [(57.73±3.06)% vs. (32.07±0.22)%, P < 0.01] and an increase in the proportion of Treg [(54.67±1.19)% vs. (24.60±3.51)%, P < 0.01]. However, the expression of the late activation marker CD25 remained stable [(84.77±3.44)% vs. (85.93±2.32)%, P > 0.05]. CONCLUSIONS Circulating EXO in sepsis patients induce T cell dysfunction, which may be a novel mechanism lead to immunosuppression in sepsis.
Humans ; Leukocytes, Mononuclear ; Exosomes/metabolism* ; Programmed Cell Death 1 Receptor/metabolism* ; T-Lymphocytes, Regulatory/metabolism* ; Sepsis/metabolism*

Bioluminescence is a widespread phenomenon in nature, and luminescent organisms can be found both on land and in the ocean. Among them, luciferase based bioluminescence systems have been widely studied, inspiring the exploration of genetic and epigenetic aspects and the development of a series of related assays for in vivo and in vitro studies. This paper summarizes the recent developments of luciferase based bioluminescence assays in terms of bioluminescence systems, types of luciferases, and the development and application of luciferase bioluminescence assays.

AIM: Lipopolysaccharide (LPS) on the cell membrane of gram negative bacteria is closely related to the occurrence and development of severe acute pancreatitis (SAP). Local and systemic monocyte / macrophages play an important role in the inflammatory process of SAP. Artesunate (AS) was reported to protect rats with severe acute pancreatitis by reducing the release of proinflammatory cytokines. This study further explored the molecular mechanism of anti-inflammatory effect of AS. METHODS: The release of proinflammatory cytokines in the supernatant were studied by enzyme-linked immunosorbent assay. Then, the mRNA expressions of PI3K-III and its key molecules in signaling pathway were detected by real-time quantitative PCR. Finally, the phosphorylation levels of PI3KIII were detected by Western blot. RESULTS: AS could significantly inhibit the release of proinflammatory cytokines from mouse macrophage induced by LPS. Autophagy inhibitor 3-methyladenine (3-MA) could significantly inhibit the release of TNF-α from mouse macrophages induced by LPS; LPS significantly increased the mRNA expression of PI3KIII and its key molecules in mouse peritoneal macrophages (PMs). Finally, AS could significantly inhibit the increase of PI3K-III phosphorylation induced by LPS in PMs. CONCLUSION: The anti-inflammatory mechanism of AS is closely related to the inhibition of PI3K-III phosphorylation.

Objective To use feature selection and Likert grading method to quantify the data of lung cancer medical records,to construct a deep extreme learning machine model optimized by the sparrow search algorithm,to classify and predict the syndrome types of traditional Chinese medicine medical record data of lung cancer,and to provide scientific and effective research on syndrome type classification of traditional Chinese medicine.means.Methods The medical records of 497 cases diagnosed with lung cancer from January 2015 to December 2021 were collected from the Affiliated Hospital of Jiangxi University of Traditional Chinese Medicine,and 412 medical records were screened as the research objects.Syndromic factors of different syndromes were summarized by feature selection and feature importance ranking,and the syndrome factors were quantified by Likert grading method.Build a deep extreme learning machine optimized based on the sparrow search algorithm,and train and test the model.Finally,the model built in this paper is compared with other machine learning models according to three evaluation criteria.Results The average classification accuracy of the SSA-DELM model established in this paper was 88.44%,while the average accuracy of the support vector machine and Bayesian network was 83.39%and 84.53%,respectively.The recall rate and F1 value of the SSA-DELM model on the five syndrome types are mostly above 80%,which is also better than other traditional machine learning models.Conclusion The results of the study show that the use of feature selection combined with Likert grading method to quantify the lung cancer medical record data,compared with the 0-1 processing data,can show the characteristics of the data,improve the accuracy of the classification model,SSA-DELM new Compared with other traditional machine learning classification models,the model has better representation learning ability and learning speed.This model not only provides a scientific and technical means for the clinical treatment of lung cancer,but also provides a useful reference for the informatization and intelligent development of TCM syndrome differentiation and treatment.

Objective:To discuss the protective effect of Syringin (SYR) on myotube cell atrophy induced by lipopolysaccharide (LPS) and its molecular mechanism.Methods:After C2C12 myoblasts were differentiated into myotubes, they were divided into normal control group, model group and syringin group according to the random number table method. The cultured medium of model group and syringin group were added with LPS with a concentration of 200 ng/ml; the cultured medium of the syringin group was also added with 10 μmol/L syringin for 24 h. CCK8 was used to detect cell viability. In cell supernatant, NO release was detected with Griess and TNF-α level was detected by ELISA kit. The expression of NF-κB, PPAR γ1, MyHC were detected by Western blot.Results:Compared with the model group, the viability of cells [(101.08±8.92)%, (79.53±5.19)% vs. (69.07±7.16)%] in the 10 μmol/L and 100 μmol/L syringin groups were significantly increased ( P<0.01 or P<0.01), of which 10 μmol/L syringin had better effect. Compared with the model group, the level of NO [(2.92±0.33) μmol/L vs. (3.57±0.41) μmol/L] in the syringin group was significantly decreased after 6 hours of intervention ( P<0.01), and the cells in the syringin group after 24 hours of intervention, the level of TNF-α [(2.73±0.29) pg/ml vs. (4.15±0.29) pg/ml] was significantly decreased ( P<0.01), and the protein expression of cellular NF-κB (0.95±0.24 vs. 1.16±0.28) was significantly decreased ( P<0.05), the protein expression of MyHC (0.79±0.15 vs. 0.70±0.16) was increased ( P<0.05). Conclusion:SYR could inhibit the inflammatory response induced by LPS, promote the activity of myotubes, and antagonize the damage of LPS to myotube cells.

Objective: To investigate the factors influencing the development of gastric cancer in Chinese populations, so as provide insights into creating a model for predicting gastric cancer incidence among Chinese populations. Methods: The case-control and cohort studies pertaining to factors affecting the development of gastric cancer were retrieved in electronic Chinese and English databases, including CNKI, Wanfang Data, VIP, PubMed, Web of Science and Embase from their inception until September 30, 2021. A meta-analysis was performed using R package version 4.1.0. Sensitivity analysis was performed using the “leave-one-out” evaluation procedure, and the publication bias was evaluated using the Egger regression test and the trim-and-fill procedure. Results: A total of 5 301 publications were screened and 116 eligible studies were included in the final analysis, including 103 case-control studies and 13 cohort studies, which covered approximately 3.23 million study subjects. A total of 45 factors affecting the development of gastric cancer were collected, and there were less than 4 publications reporting 7 factors, which were only qualitatively described. There were 38 factors included in the final meta-analysis. A total of 21 factors were identified as risk factors of gastric cancer, including a history of gastrointestinal diseases (pooled OR=4.85, 95%CI: 3.74-6.29), H. pylori infection (pooled OR=3.18, 95%CI: 2.35-4.32), binge eating and drinking (pooled OR=2.88, 95%CI: 2.09-3.97) and a family history of tumors (pooled OR=2.78, 95%CI: 2.17-3.56), and 10 factors as protective factors, including vegetable intake (pooled OR=0.48, 95%CI: 0.38-0.61), tea consumption (pooled OR=0.55, 95%CI: 0.47-0.64), administration of aspirin (pooled OR=0.53, 95%CI: 0.31-0.92) and administration of statins (pooled OR=0.59, 95%CI: 0.44-0.80). Sensitivity analyses of eating moldy food frequently, white meat intake, favoring spicy food and administration of sulfonylureas were not robust. Following correction with the trim-and-fill procedure, there was still a publication bias pertaining to high income, diabetes, administration of stains, alcohol consumption, tea consumption and white meat intake. Conclusions The development of gastric cancer is associated with a medical history of gastrointestinal disease, H. pylori infection, family history of tumors and poor dietary habits. Risk and protective factors of gastric cancer are recommended to be included in models used to predict gastric cancer incidence among Chinese populations.