ObjectiveTo explore the therapeutic effect of Xuebijing injection （XBJ） on severe acute pancreatitis induced acute lung injury （SAP-ALI） by regulating formyl peptide receptors （FPRs）/nucleotide-binding oligomerization domain-like receptor 3 （NLRP3） inflammatory pathway. MethodsSixty rats were randomly divided into a sham group， a SAP-ALI model group， low-， medium-， and high-dose XBJ groups （4， 8， and 12 mL·kg^-1）， and a positive drug （BOC2， 0.2 mg·kg^-1） group. For the sham group， the pancreas of rats was only gently flipped after laparotomy， and then the abdomen was closed， while for the remaining five groups， SAP-ALI rat models were established by retrograde injection of 5% sodium taurocholate （Na-Tc） via the biliopancreatic duct. XBJ and BOC2 were administered via intraperitoneal injection once daily for 3 d prior to modeling and 0.5 h after modeling. Blood was collected from the abdominal aorta 6 h after the completion of modeling， and the expression of interleukin （IL）-1β， IL-6， and tumor necrosis factor-α （TNF-α） in plasma was measured by enzyme-linked immunosorbent assay （ELISA）. The amount of ascites was measured， and the dry-wet weight ratios of pancreatic and lung tissue were determined. Pancreatic and lung tissue was taken for hematoxylin-eosin （HE） staining to observe pathological changes and then scored. The protein expression levels of FPR1， FPR2， and NLRP3 in lung tissue were detected by the immunohistochemical method. Western blot was used to detect the expression of FPR1， FPR2， and NLRP3 in lung tissue. Real-time fluorescence quantitative polymerase chain reaction （Real-time PCR） was used to detect the mRNA expression of FPR1， FPR2， and NLRP3 in lung tissue. ResultsCompared with the sham group， the SAP-ALI model group showed significantly decreased dry-wet weight ratio of lung tissue （P<0.01）， serious pathological changes of lung tissue， a significantly increased pathological score （P<0.01）， and significantly increased protein and mRNA expression levels of FPR1， FPR2， and NLRP3 in lung tissue （P<0.01）. After BOC2 intervention， the above detection indicators were significantly reversed （P<0.01）. After treatment with XBJ， the groups of different XBJ doses achieved results consistent with BOC2 intervention. ConclusionXBJ can effectively improve the inflammatory response of the lungs in SAP-ALI rats and reduce damage. The mechanism may be related to inhibiting the expression of FPRs and NLRP3 in lung tissue， which thereby reduces IL-1β and simultaneously antagonize the release of inflammatory factors IL-6 and TNF-α.

ObjectiveTo investigate the characteristics of mitochondrial translational initiation factor 2 （MTIF2） gene methylation and its association with the development and progression of hepatocellular carcinoma （HCC）. MethodsMethSurv and EWAS Data Hub were used to perform the standardized analysis and the cluster analysis of MTIF2 methylation samples， including survival curve analysis， methylation signature analysis， the association of tumor signaling pathways， and a comparative analysis based on pan-cancer database. The independent-samples t test was used for comparison between two groups； a one-way analysis of variance was used for comparison between multiple groups， and the least significant difference t-test was used for further comparison between two groups. The Cox proportional hazards model was used to perform the univariate and multivariate survival analyses of methylation level at the CpG site. The Kaplan-Meier method was used to investigate the survival differences between the patients with low methylation level and those with high methylation level， and the Log-likelihood ratio method was used for survival difference analysis. ResultsGlobal clustering of MTIF2 methylation showed that there was no significant difference in MTIF2 gene methylation level between different races， ethnicities， BMI levels， and ages. The Kaplan-Meier survival curve analysis showed that the patients with N-Shore hypermethylation of the MTIF2 gene had a significantly better prognosis than those with hypomethylation （hazard ratio ［HR］=0.492， P<0.001）， while there was no significant difference in survival rate between the patients with different CpG island and S-Shore methylation levels （P>0.05）. The methylation profile of the MTIF2 gene based on different ages， sexes， BMI levels， races， ethnicities， and clinical stages showed that the N-Shore and CpG island methylation levels of the MTIF2 gene decreased with the increase in age， and the Caucasian population had significantly lower N-Shore methylation levels of the MTIF2 gene than the Asian population （P<0.05）； the patients with clinical stage Ⅳ had significantly lower N-Shore and CpG island methylation levels of the MTIF2 gene than those with stage Ⅰ/Ⅱ （P<0.05）. Clinical validation showed that the patients with stage Ⅲ/Ⅳ HCC had a significantly lower methylation level of the MTIF2 gene than those with stage Ⅰ/Ⅱ HCC and the normal population （P<0.05）. ConclusionN-Shore hypomethylation of the MTIF2 gene is a risk factor for the development and progression of HCC.

[摘 要] 目的：探讨多结节非小细胞肺癌（NSCLC）组织中的驱动基因突变情况与临床病理特征的关系，为多结节NSCLC患者治疗提供分子诊断依据。方法：本研究共纳入2018年1月至2023年10月间云南省肿瘤医院分子诊断中心检测的121例多结节NSCLC患者的253个肺结节肿瘤组织标本，以第二代测序（NGS）技术或扩增阻滞突变系统PCR（ARMS-PCR）技术检测多结节NSCLC 组织中驱动基因突变情况，分析其与患者临床病理特征的关系，比较不同结节间肺癌驱动基因的突变异质性。结果：与非“宣威”NSCLC相比，“宣威”多结节NSCLC患者驱动基因突变具有显著的地域特点，表现在“宣威”患者具有较低（20%）的EGFR敏感突变（L858R、19-del）及较高（27.26%）的EGFR少见突变（主要为G719/S768I、G719）；“宣威”多结节NSCLC患者的KRAS突变率（27.27%）亦显著高于非“宣威”患者突变率（12.59%）（P<0.05）。此外，“宣威”多结节NSCLC患者驱动基因突变不一致率高达69.23%，远高于非“宣威”患者驱动基因突变不一致率（55.07%）（P<0.05）。结论：“宣威”多结节NSCLC患者具有较高的EGFR少见突变及KRAS突变率，同一患者不同病灶之间存在更高的驱动基因突变异质性，本研究将为“宣威”多结节NSCLC的诊疗策略提供更多的选择。

ObjectiveTo conduct comprehensive assessment of internal and external cadmium exposure and health risks for Shanghai residents. MethodsCadmium levels in food samples were calculated by employing two dietary exposure assessment methods， total diet study （TDS） and food frequency questionnaire （FFQ）， to estimate the daily dietary cadmium exposure of Shanghai residents. The provisional tolerable monthly intake （PTMI） of cadmium set by joint food and agriculture organization/WHO expert committee on food additives （JECFA） was applied to evaluate the health risk. Differences in dietary and urinary cadmium were compared by rank-sum test among different regions， age， gender， smoking status， and BMI groups， and the association between internal and external cadmium exposure was investigated by correlation analysis. ResultsThe mean value of urinary cadmium for 1 300 respondents was 0.542 μg·L^-1. Urinary cadmium was higher in the population in central urban and urban-rural fringe areas than in the suburban area， higher in the older age group than in the younger age group， and higher in the smoking group than in the non-smoking group （all P<0.01）. The two assessment methods showed that the mean values of daily dietary cadmium exposure for Shanghai residents were 0.306 and 0.090 μg·kg^-1， with 3.69% and 0.85% of Shanghai residents exceeding the PTMI， respectively. Correlation analyses showed that dietary exposure to cadmium based on the FFQ method was positively correlated with the urinary cadmium level when smoking status， age， gender， and BMI were adjusted. ConclusionDietary exposure to cadmium of Shanghai residents is mainly derived from vegetables， aquatic products， cereals and potatoes， and is overall at a low-risk level. Dietary exposure assessment based on FFQ and risk monitoring data can effectively estimate long-term cadmium exposure.

Objective To understand the prevalence and risk factors of hyperuricemia in electronics factory workers in Wuhan, and to provide evidence for the health protection of electronics factory workers. Methods A total of 1 415 employees in an electronics factory in Wuhan were selected as the research subjects, and the physical examination and determination of various biochemical indicators, as well as questionnaire survey were carried out. Results The detection rate of hyperuricemia among workers in the electronics factory in Wuhan was 32.43%, with 36.33% for men and 14.11% for women, and the difference was statistically significant ( χ²＝46.077，P＜0.001). The detection rate of hyperuricemia was the highest (33.77%) among those with university or college education, followed by graduate students and above (31.50%). Compared with subjects with good lifestyle habits, people with drinking habits had higher hyperuricemia detection rate (49.38%), and the difference was statistically significant (P =0.001). The detection rates of hyperuricemia in those with central obesity and elevated alanine aminotransferase were 48.23% and 61.29%, respectively, which were significantly higher than those in the subjects without the above diseases (26.91% and 27.21%, respectively), and the differences were statistically significant (P <0.001). Obese people had the highest detection rate of hyperuricemia (66.95%), followed by overweight people (43.75%), and the difference was statistically significant (P <0.001). Multivariate logistic analysis showed that alcohol drinking (OR=1.836, 95% CI=1.139-2.961, P =0.013) and body mass index ≥ 24 kg/m² (OR=2.175, 95% CI=1.686 -2.806, P <0.001) were risk factors for hyperuricemia in electronic factory workers. Elevated alanine aminotransferase (ALT) was significantly correlated with hyperuricemia (OR=2.964, 95%CI=2.146-4.095 , P <0.001). Female gender was a protective factor for hyperuricemia in workers in the electronics factory (OR=0.441, 95%CI=0.297-0.653 , P <0.001). Conclusion The detection rate of hyperuricemia among workers in an electronics factory in Wuhan is high, and the detection rate of hyperuricemia in men is higher than that in women. Alcohol consumption, overweight and obesity will increase the risk of hyperuricemia. Elevated ALT is associated with hyperuricemia. Maintaining an ideal body mass index and establishing a good lifestyle play an important role in preventing hyperuricemia.

Objective To compare the pharmacokinetic behavior of two captopril tablets in Chinese healthy subjects,and evaluate the bioequivalence and safety of the tested and reference preparations.Methods This study was a single-center,random,open,double-cycle,double-cross design scheme.Twenty-four healthy subjects were randomized divided two groups and took single dose of 25 mg captopril of test tablet or reference tablet under fasting condition during each period.Plasma concentrations of captopril were determined by liquid chromatography-mass spectroscopy(LC-MS/MS)following administration of the oral single captopril tablet.The pharmacokinetic parameters were calculated by using non-atrioventricular model with WinNonlin 8.0 software to evaluate bioequivalence.The safety of clinical observation indexes of the subjects was evaluated during the trail.Results Main pharmacokinetic parameters of test preparation and reference preparation captopril in fasting group test:Cmax were(803.22±196.81)and(844.75±163.43)ng·mL-1;AUC0-t were(3 118.06±642.05)and(3 353.53±597.94)h·ng·mL-1;AUC0-∞ were(3 347.35±712.07)and(3 594.15±654.39)h·ng·mL-1.The 90％confidence intervals(CI)of geornetric mean ratio of Cmax,AUC0-t and AUC0-∞ were 87.15％-99.97％,89.54％-96.14％and 89.55％-96.26％,all in the range of 80.00％-125.00％,indicating that the bioequivalence of the two preparations could be determined.During the trial,the incidence rates of adverse events for the test preparation and the reference preparation were 30.43％and 33.33％,respectively,without any serious adverse events occurring.Conclusion The test tablet and reference tablet of captopril were equivalent and safe during the trial.

Objective To investigate the relationship between the single nucleotide polymorphism of PPARG rs2290449 and the efficacy of combination therapy in sepsis patients with MODS.Methods 382 cases of sepsis with MODS were selected and divided into the effective group and the ineffective group,and a case-control study was conducted.PCR-RFLP and Sequenom MassARRAY were used to detect the genotype and allele frequencies of the loci.Unconditional Logistic regression was used to calculate odds ratio(OR)and 95％confidence interval(CI)to evaluate the efficacy of combination therapy for sepsis with MODS in patients with different genotypes.Re-sults There were G and A alleles in PPARG rs2290449 locus,GG、GA and AA genotype.Non-conditional Logis-tic regression analysis showed that compared with the GG genotype group,the GA genotype group had a significant correlation with the efficacy of combination therapy for sepsis with MODS(OR=0.449,95％CI=0.280-0.722,P=0.001).In the dominant model,there was a significant correlation between the GA+AA genotype and the effi-cacy of combination therapy compared with the GG genotype(OR=2.104,95％CI=1.332-3.321,P=0.001).After adjusting for confounding factors,unconditional Logistic regression analysis showed that compared with the GG genotype,the GA+AA genotype was significantly correlated with the efficacy of combination therapy in sepsis pa-tients with MODS(OR=2.307,95％CI=1.438-3.701,P=0.001).Stratified analysis showed that compared with the population carrying GG genotype,the population carrying GA+AA genotype was significantly correlated with the efficacy of combination therapy in sepsis with MODS in the stratified analysis of age,gender and ethnicity.Conclusion PPARG rs2290449 single nucleotide polymorphism is significantly correlated with the efficacy of com-bination therapy in sepsis patients with MODS in Yanbian area.

Objective This study aimed to investigate the potential relationship between urinary metals copper (Cu), arsenic (As), strontium (Sr), barium (Ba), iron (Fe), lead (Pb) and manganese (Mn) and grip strength. Methods We used linear regression models, quantile g-computation and Bayesian kernel machine regression (BKMR) to assess the relationship between metals and grip strength.Results In the multimetal linear regression, Cu (β=-2.119), As (β=-1.318), Sr (β=-2.480), Ba (β=0.781), Fe (β= 1.130) and Mn (β=-0.404) were significantly correlated with grip strength (P < 0.05). The results of the quantile g-computation showed that the risk of occurrence of grip strength reduction was -1.007 (95％ confidence interval:-1.362, -0.652; P < 0.001) when each quartile of the mixture of the seven metals was increased. Bayesian kernel function regression model analysis showed that mixtures of the seven metals had a negative overall effect on grip strength, with Cu, As and Sr being negatively associated with grip strength levels. In the total population, potential interactions were observed between As and Mn and between Cu and Mn (Pinteractions of 0.003 and 0.018, respectively).Conclusion In summary, this study suggests that combined exposure to metal mixtures is negatively associated with grip strength. Cu, Sr and As were negatively correlated with grip strength levels, and there were potential interactions between As and Mn and between Cu and Mn.

As a microbial therapy method, fecal microbiota transplantation (FMT) has attracted the attention of researchers in recent years. As one of the most direct and effective methods to improve gut microbiota, FMT achieves therapeutic benefits by transplanting functional gut microbiota from healthy human feces into the intestines of patients to reconstruct new gut microbiota. FMT has been proven to be an effective treatment for gastrointestinal diseases such as Clostridium difficile infection, irritable bowel syndrome, and inflammatory bowel disease. In addition, the clinical and basic research of FMT outside the gastrointestinal system is also emerging. It is worth noting that there is bidirectional communication between the gut microbial community and the central nervous system (CNS) through the gut-brain axis. Some gut bacteria can synthesize and release neurotransmitters such as glutamate, gamma-aminobutyric acid (GABA) and dopamine. Imbalanced gut microbiota may interfere with the normal levels of these neurotransmitters, thereby affecting brain function. Gut microbiota can also produce metabolites that may cross the blood-brain barrier and affect CNS function. FMT may affect the occurrence and development of CNS and its related diseases by reshaping the gut microbiota of patients through a variety of pathways such as nerves, immunity, and metabolites. This article introduces the development of FMT and the research status of FMT in China, and reviews the basic and clinical research of FMT in neurodegenerative diseases (Alzheimer’s disease, Parkinson’s disease), neurotraumatic diseases (spinal cord injury, traumatic brain injury) and stroke from the characteristics of three types of nervous system diseases, the characteristics of intestinal flora, and the therapeutic effect and mechanism of fecal microbiota transplantation, summarize the common mechanism of fecal microbiota transplantation in the treatment of CNS diseases and the therapeutic targets. We found that the common mechanisms of FMT in the treatment of nervous system diseases may include the following 3 categories through summary and analysis. (1) Gut microbiota metabolites, such as SCFAs, TMAO and LPS. (2) Inflammatory factors and immune inflammatory pathways such as TLR-MyD88 and NF-κB. (3) Neurotransmitter 5-HT. In the process of reviewing the studies, we found the following problems. (1) In basic researches on the relationship between FMT and CNS diseases, there are relatively few studies involving the autonomic nervous system pathway. (2) Clinical trial studies have shown that FMT improves the severity of patients’ symptoms and may be a promising treatment for a variety of neurological diseases. (3) The improvement of clinical efficacy is closely related to the choice of donor, especially emphasizing that FMT from healthy and young donors may be the key to the improvement of neurological diseases. However, there are common challenges in current research on FMT, such as the scientific and rigorous design of FMT clinical trials, including whether antibiotics are used before transplantation or different antibiotics are used, as well as different FMT processes, different donors, different functional analysis methods of gut microbiota, and the duration of FMT effect. Besides, the safety of FMT should be better elucidated, especially weighing the relationship between the therapeutic benefits and potential risks of FMT carefully. It is worth mentioning that the clinical development of FMT even exceeds its basic research. Science and TIME rated FMT as one of the top 10 breakthroughs in the field of biomedicine in 2013. FMT therapy has great potential in the treatment of nervous system diseases, is expected to open up a new situation in the medical field, and may become an innovative weapon in the medical field.

Objective:To develop a simple, rapid, and convenient analysis method for the identification of breast cancer and its molecular sub-types.Methods:A laser confocal Raman spectrometer was used to collect Raman spectrograms of normal breast cells and different molecular sub-types of breast cancer cells, and assign the material origin of the Raman spectral peaks. First, Savitzky-Golay smoothing (with a window size of 9) was selected to perform smoothing and denoising on the Raman spectrogram. Subsequently, an iterative adaptive weighted penalty least squares method was employed for baseline correction, and principal component analysis was used to eliminate outliers. The recognition model of normal breast cells and breast cancer cells and the recognition model of different molecular sub-types of breast cancer cells were established by using three algorithms with different principles, including partial least squares discriminant analysis (PLS-DA), K-nearest neighbor (KNN), and support vector machine (SVM).Results:The Raman spectrogram and Raman peak shifts of normal breast cells and breast cancer cells were similar, but there were significant differences in intensity. The results of the machine learning models showed that the recognition accuracy of PLS-DA and SVM algorithms for distinguishing between normal breast cells and breast cancer cells was above 92.03% and 90.67%, respectively. The recognition accuracy of PLS-DA and SVM algorithms for different molecular sub-types of breast cancer cells was (83.66 ± 2.77)% and (90.55 ± 0.06)%, respectively.Conclusions:The combination of Raman spectroscopy and machine learning algorithms can achieve accurate identification of normal breast cells, breast cancer cells, and different molecular sub-types of breast cancer cells.