GNPS-based mass spectrum-molecular networks is an effective strategy for rapidly identifying known natural products and discovering novel structures. The chemical diversity of azaphilones from the fermentation extracts of Talaromyces sp. HK1-18 was studied by molecular network technique. Three linear tricyclic azaphilones, sequoiamonacins A-C (2a, 2b, 1), were isolated by silica gel column chromatography and high performance liquid chromatography from the extracts of the fungal strain of HK1-18, and their structures were identified by nuclear magnetic resonance and high-resolution mass spectrometry. Guided by the mass spectra of sequoiamonacins A-C (2a, 2b, 1), the cluster of sequoiamonacinoid analogues was discovered from the full molecular networking of HK1-18. By analyzing the MS/MS fragments of each parent ion in this cluster, 7 azaphilones (3-9) included 6 new ones (4-9) were predicted successfully. Then the MS/MS cracking regularity of this type of azaphilones was revealed. Compound 1 showed anti-inflammatory activity, which can inhibit the production of interleukin-1α (IL-1α) in lipopolysaccharide (LPS)-induced mouse macrophage RAW264.7, with an inhibitory rate of 29% at the concentration of 12.5 μg·mL^-1.

ObjectiveGastric cancer (GC) seriously affects human health and life, and research has shown that it is closely related to the serine/glycine metabolism. The proliferation ability of tumor cells is greatly influenced by the metabolism of serine and glycine. The aim of this study was to investigate the molecular mechanism of serine/glycine metabolism can affect the proliferation of gastric cancer cells. MethodsIn this work, a stable metabolic dynamic model of gastric cancer cells was established via a large-scale metabolic network dynamic modeling method in terms of a potential landscape description of stochastic and non-gradient systems. Based on the regulation of the model, a quantitative analysis was conducted to investigate the dynamic mechanism of serine/glycine metabolism affecting the proliferation of gastric cancer cells. We introduced random noise to the kinetic equations of the general metabolic network, and applied stochastic kinetic decomposition to obtain the Lyapunov function of the metabolic network parameter space. A stable metabolic network was achieved by further reducing the change in the Lyapunov function tied to the stochastic fluctuations. ResultsDespite the unavailability of a large number of dynamic parameters, we were able to successfully construct a dynamic model for the metabolic network in gastric cancer cells. When extracellular serine is available, the model preferentially consumes serine. In addition, when the conversion rate of glycine to serine increases, the model significantly upregulates the steady-state fluxes of S-adenosylmethionine (SAM) and S-adenosyl homocysteine (SAH). ConclusionIn this paper, we provide evidence supporting the preferential uptake of serine by gastric cancer cells and the important role of serine/glycine conversion rate in SAM generation, which may affect the proliferation ability of gastric cancer cells by regulating the cellular methylation process. This provides a new idea and direction for targeted cancer therapy based on serine/glycine metabolism.

Objective China is among the 30 countries with a high burden of tuberculosis(TB)worldwide,and TB remains a public health concern.Kashgar Prefecture in the southern Xinjiang Autonomous Region is considered as one of the highest TB burden regions in China.However,molecular epidemiological studies of Kashgar are lacking. Methods A population-based retrospective study was conducted using whole-genome sequencing(WGS)to determine the characteristics of drug resistance and the transmission patterns. Results A total of 1,668 isolates collected in 2020 were classified into lineages 2(46.0%),3(27.5%),and 4(26.5%).The drug resistance rates revealed by WGS showed that the top three drugs in terms of the resistance rate were isoniazid(7.4%,124/1,668),streptomycin(6.0%,100/1,668),and rifampicin(3.3%,55/1,668).The rate of rifampicin resistance was 1.8%(23/1,290)in the new cases and 9.4%(32/340)in the previously treated cases.Known resistance mutations were detected more frequently in lineage 2 strains than in lineage 3 or 4 strains,respectively:18.6%vs.8.7 or 9%,P<0.001.The estimated proportion of recent transmissions was 25.9%(432/1,668).Multivariate logistic analyses indicated that sex,age,occupation,lineage,and drug resistance were the risk factors for recent transmission.Despite the low rate of drug resistance,drug-resistant strains had a higher risk of recent transmission than the susceptible strains(adjusted odds ratio,1.414;95%CI,1.023-1.954;P = 0.036).Among all patients with drug-resistant tuberculosis(DR-TB),78.4%(171/218)were attributed to the transmission of DR-TB strains. Conclusion Our results suggest that drug-resistant strains are more transmissible than susceptible strains and that transmission is the major driving force of the current DR-TB epidemic in Kashgar.

A precursor ion selection (PIS) based ultra high performance liquid chromatography-quadrupole time of flight mass spectrometry (UHPLC-Q-TOF-MS) analytical method was used to screen the chemical components in Jiawei Dingzhi pills (JWDZP) comprehensively and rapidly. To compile the components of the compound medicine, a total of 1 921 components were found utilizing online databases and literature. After verifying the sources, unifying the component names, merging the multi-flavor attributed components, and removing the weak polar molecules, 450 components were successfully retained. The Acquity UPLC HSS T3 column (100 mm × 2.1 mm, 1.8 μm) was used, with a 0.1% formic acid water (A)-acetonitrile (B) as the mobile phase. The flow rate was 0.35 mL·min^-1, the column temperature was 35 ℃, and an electrospray ion source was used. Data was collected with the PIS strategy in both positive and negative ion modes. Compounds were screened through matching accurate molecular weight of the database, and identified according to MS/MS data (characteristic fragment ions and neutral loss), with comparison of reference. Some compounds were confirmed using standard products. A total of 176 compounds were screened out in the extract of JWDZP, among which 26 compounds were confirmed by standard products. These compounds include 96 components from the sovereign drug, and 34 coefflux components with low ion intensity. The PIS-UHPLC-Q-TOF-MS/MS method established in this study can quickly and comprehensively screen the chemical components of JWDZP, which enhanced the screening rate of components with co-elution compounds of low ion intensities and provided a basis for the study of the material foundation of JWDZP.

This study aimed to analyze the impact of traditional Chinese medicine(TCM) on the risk of re-admission for ankylosing spondylitis(AS) patients with dampness-heat syndrome. In this study, a telephone follow-up was conducted on 1 295 AS inpatients, and after screening and exclusions, 1 044 successfully followed-up patients were included. A retrospective cohort study was conducted using propensity score matching(PSM), and a Cox proportional risk model was employed to assess the effect of various factors on the risk of re-admission for AS patients with dampness-heat syndrome. Kaplan-Meier survival curves were used to analyze the effect of TCM intervention time on re-admission. The incidence rate of dampness-heat syndrome in AS patients was found to be 51.3% in this study. After 1∶1 PSM, 385 AS patients with dampness-heat syndrome and 385 AS patients without dampness-heat syndrome were included for analysis. The results indicated that the re-admission rate was higher for patients with dampness-heat syndrome compared with those without dampness-heat syndrome(P<0.05). AS patients with dampness-heat syndrome in the TCM group had a lower admission rate than those in the non-TCM group(P=0.01). The cox proportional risk model demonstrated that TCM was an independent protective factor, as it reduced the risk of re-admission by 35%(HR=0.35, 95%CI[0.26, 0.95], P<0.05). Moreover, the subgroup with high exposure(time to use Chinese medicine >12 months) had a significantly lower risk of re-admission than that with low TCM exposure(time to use Chinese medicine ≤12 months). The re-admission rate for AS patients with dampness-heat syndrome was higher than that without dampness-heat syndrome, and TCM was identified as a protective factor in reducing the risk of re-admission. Furthermore, a longer duration of TCM intervention was associated with a lower risk of re-admission.
Humans ; Medicine, Chinese Traditional ; Spondylitis, Ankylosing/epidemiology* ; Retrospective Studies ; Hot Temperature

The plateau zokor (Myospalax baileyi) and plateau pika (Ochotona curzoniae) are native species unique to the Qinghai-Tibetan Plateau with successful adaptation to the hypoxic environment. In this study, the number of red blood cells, hemoglobin concentration, mean hematocrit and mean volume of red blood cells were measured in plateau zokors and plateau pikas at different altitudes. Hemoglobin subtypes of two plateau animals were identified by mass spectrometry sequencing. The forward selection sites in two animals' hemoglobin subunits were analyzed by PAML4.8 program. Homologous modeling was used to analyze the effect of forward selection sites on the affinity of hemoglobin to oxygen. The adapting strategies of plateau zokors and plateau pikas to hypoxia at different altitudes were analyzed through comparing blood parameters between the two species. The results indicated that, with increasing altitudes, plateau zokors responded to hypoxia by increasing red blood cell count and decreasing red blood cell volume, while plateau pikas took the opposite strategies to plateau zokors. In erythrocytes of plateau pikas, both adult α₂β₂ and fetal α₂ε₂ hemoglobins were identified, while erythrocytes of plateau zokors only had adult α₂β₂ hemoglobin, however the affinities and the allosteric effects of the hemoglobin of plateau zokors were significantly higher than those of plateau pikas. Mechanistically, in the α and β subunits of hemoglobin of plateau zokors and pikas, the numbers and the sites of the positively selected amino acids as well as the side chain groups polarities and orientations of the amino acids differed significantly, which may result in the difference of the affinities to oxygen of hemoglobin between plateau zokors and pikas. In conclusion, the adaptive mechanisms to respond to hypoxia in blood properties of plateau zokors and plateau pikas are species-specific.
Animals ; Altitude ; Amino Acids ; Hemoglobins ; Hypoxia ; Lagomorpha

Chinese patent medicines(CPMs) are unique therapeutic drugs in China. Establishing and improving the evaluation criteria is an important measure to promote the high-quality development of CPMs. Based on the "evaluation criteria of high-grade CPMs with quality as the core index" established by our group in 2018, the "high-quality evaluation criteria for CPMs based on whole process control" was proposed in the present study in 2022. The scope of application and basic principles of the new criteria were clarified. A quality evaluation scoring table was established in the new criteria, including five parts: raw material selection, production process, quality control, efficacy evaluation, and brand building. The technical evaluation indexes involved have increased from 20% in the original criteria to 70% in the new criteria, and efficacy evaluation has been added in the new criteria. The subjective evaluation indicators account for a large proportion in the original criteria, which is prone to bias. The improved criteria overcome this shortcoming. It is expected that the new criteria as a basis can play a better role in the selection of high-quality products of CPMs, guide enterprises and institutions to participate actively in the evaluation and research of high-quality CPMs, and promote the high-quality development of CPMs.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal/therapeutic use* ; Nonprescription Drugs ; Chlorobenzenes ; China

Humans ; Huntington Disease/diagnostic imaging* ; Brain/diagnostic imaging* ; Brain Mapping ; Magnetic Resonance Imaging

OBJECTIVE: To investigate the enhancement of macrophage chemotaxis in patients with knee osteoarthritis (KOA) and its correlation with the disease severity. METHODS: Eighty patients with KOA admitted from July 2019 to June 2022 were enrolled as the observation group and divided into 29 cases of moderate group, 30 cases of severe group and 21 cases of extremely severe group. At the same time, 30 healthy subjects were included as the control group. The gene expressions of NF-κB, CXC chemokine receptor 7 (CXCR7) and CXC chemokine ligand 12 (CXCL12) in macrophages of each group were analyzed. Visual analogue scale(VAS) was used to evaluate the degree of joint pain. Joint function was evaluated by knee Joint Society Scoring system(KSS). Finally, data analysis was carried out. RESULTS: The expression levels of NF-κB, CXCR7 and CXCL12 in moderate group, severe group and extreme recombination group were higher than those in control group. The VAS, the expression of NF-κB, CXCR7 and CXCL12 in the severe group and the extreme recombination group were higher than those in the moderate group, whereas KSS was lower than that in the moderate group. The VAS, expression levels of NF-κB, CXCR7 and CXCL12 in the extremely severe group were higher than those in the severe group, and KSS was lower than that in the severe group (all P<0.01). The expression levels of NF-κB, CXCR7 and CXCL12 in macrophages were positively correlated with VAS score, but negatively correlated with KSS(all P<0.01). The expression levels of NF-κB, CXCR7 and CXCL12 in macrophages were positively correlated with the severity of disease. After excluding the influence of traditional factors (gender, age and disease duration), multiple linear regression analysis further showed that the expression levels of NF-κB, CXCR7 and CXCL12 were still positively correlated with the severity of disease(all P<0.01). CONCLUSION The chemotaxis of macrophages in patients with KOA increased with the aggravation of the disease, and was related to the degree of pain and function impairment.
Humans ; Osteoarthritis, Knee/genetics* ; Chemotaxis/genetics* ; NF-kappa B/metabolism* ; Macrophages/metabolism* ; Receptors, CXCR/metabolism* ; Patient Acuity

OBJECTIVE: To retrospectively analyze clinical characteristics and survival time of patients with diffuse large B-cell lymphoma (DLBCL), detect prognosis-related markers, and establish a nomogram prognostic model of clinical factors combined with biomarkers. METHODS: One hundred and thirty-seven patients with DLBCL were included in this study from January 2014 to March 2019 in the First Affiliated Hospital of Nanchang University. The expression of GCET1, LMO2, BCL-6, BCL-2 and MYC protein were detected by immunohistochemistry (IHC), then the influences of these proteins on the survival and prognosis of the patients were analyzed. Univariate and multivariate Cox regression analysis were used to gradually screen the prognostic factors in nomogram model. Finally, nomogram model was established according to the result of multivariate analysis. RESULTS: The positive expression of GCET1 protein was more common in patients with Ann Arbor staging I/II (P =0.011). Compared with negative patients, patients with positive expression of LMO2 protein did not often show B symptoms (P =0.042), and could achieve better short-term curative effect (P =0.005). The overall survival (OS) time of patients with positive expression of LMO2 protein was significantly longer than those with negative expression of LMO2 protein (P =0.018), though the expression of LMO2 protein did not correlate with progression-free survival (PFS) (P >0.05). However, the expression of GCET1 protein had no significant correlation with OS and PFS. Multivariate Cox regression analysis showed that nomogram model consisted of 5 prognostic factors, including international prognostic index (IPI), LMO2 protein, BCL-2 protein, MYC protein and rituximab. The C-index applied to the nomogram model for predicting 4-year OS rate was 0.847. Moreover, the calibrated curve of 4-year OS showed that nomogram prediction had good agreement with actual prognosis. CONCLUSION The nomogram model incorporating clinical characteristics and IHC biomarkers has good discrimination and calibration, which provides a useful tool for the risk stratification of DLBCL.
Humans ; Prognosis ; Nomograms ; Immunohistochemistry ; Retrospective Studies ; Clinical Relevance ; Lymphoma, Large B-Cell, Diffuse/drug therapy* ; Rituximab/therapeutic use* ; Proto-Oncogene Proteins c-bcl-2 ; Transcription Factors ; Antineoplastic Combined Chemotherapy Protocols