Objective:To explore the feasibility of the new auxiliary analysis software in chromosomal aberration analysis of radiation workers during occupational health examinations.Methods:Health examination data of 2 469 radiation workers in Henan province were collected. Manual analysis of chromosomal aberrations in peripheral blood lymphocytes was conducted using the new auxiliary software and the Ikaros software. Then, the chromosomal aberrations detected using both software tools were compared.Results:The new auxiliary software yielded a lower chromosomal aberration rate among radiation workers compared with the Ikaros software [(0.314 ± 0.014)% vs. (0.391 ± 0.022)%, χ2 = 9.24, P = 0.002]. Notably, the new auxiliary software yielded a significantly lower rate of acentric fragments (ace) [(0.136 ± 0.009)% vs. (0.209 ± 0.020)%, χ2= 17.76, P < 0.001]. However, no statistically significant differences were observed between the result of the two software tools in the rates of dicentrics plus rings (dic + r) and translocations ( P > 0.05). According to the GBZ/T 248-2014 standard, the differences in abnormality rates of chromosomal aberrations between the two groups had no statistically significance ( P > 0.05), with both groups showing an abnormality rate of 0 for ace. Furthermore, the new auxiliary software could double the detection efficiency. Among pre-service radiation workers of various occupations, the differences in the chromosomal aberrations detected using the two software tools exhibited statistical significance ( χ2 = 10.26, P = 0.001). In contrast, the differences in the chromosomal aberrations among in-service and post-service radiation workers had no statistically different significance ( P>0.05). The Poisson regression analysis result demonstrated that the rate of chromosomal aberrations excluding ace was affected by age ( z = 2.73, P = 0.006), while gender, analysis method, service status, and occupation had no impact. Conclusions:The two software tools yielded largely consistent result in detecting chromosomal aberrations induced by exposure to ionizing radiation. Notably, the new auxiliary software can significantly improve detection efficiency, indicating the feasibility of applying it to chromosomal aberration analysis among radiation workers.

Objective:To explore the feasibility of the new auxiliary analysis software in chromosomal aberration analysis of radiation workers during occupational health examinations.Methods:Health examination data of 2 469 radiation workers in Henan province were collected. Manual analysis of chromosomal aberrations in peripheral blood lymphocytes was conducted using the new auxiliary software and the Ikaros software. Then, the chromosomal aberrations detected using both software tools were compared.Results:The new auxiliary software yielded a lower chromosomal aberration rate among radiation workers compared with the Ikaros software [(0.314 ± 0.014)% vs. (0.391 ± 0.022)%, χ2 = 9.24, P = 0.002]. Notably, the new auxiliary software yielded a significantly lower rate of acentric fragments (ace) [(0.136 ± 0.009)% vs. (0.209 ± 0.020)%, χ2= 17.76, P < 0.001]. However, no statistically significant differences were observed between the result of the two software tools in the rates of dicentrics plus rings (dic + r) and translocations ( P > 0.05). According to the GBZ/T 248-2014 standard, the differences in abnormality rates of chromosomal aberrations between the two groups had no statistically significance ( P > 0.05), with both groups showing an abnormality rate of 0 for ace. Furthermore, the new auxiliary software could double the detection efficiency. Among pre-service radiation workers of various occupations, the differences in the chromosomal aberrations detected using the two software tools exhibited statistical significance ( χ2 = 10.26, P = 0.001). In contrast, the differences in the chromosomal aberrations among in-service and post-service radiation workers had no statistically different significance ( P>0.05). The Poisson regression analysis result demonstrated that the rate of chromosomal aberrations excluding ace was affected by age ( z = 2.73, P = 0.006), while gender, analysis method, service status, and occupation had no impact. Conclusions:The two software tools yielded largely consistent result in detecting chromosomal aberrations induced by exposure to ionizing radiation. Notably, the new auxiliary software can significantly improve detection efficiency, indicating the feasibility of applying it to chromosomal aberration analysis among radiation workers.

Objective:To examine the impact of sleep quality on cognitive function in older adults with mild cognitive impairment(MCI)and explore the potential mediating role of depression.Methods:Using a cross-sectional design, we conducted an on-site questionnaire survey among 310 elderly individuals with MCI in Haishu District, Ningbo City from April to June 2021.Out of the 310 questionnaires collected, 299 were deemed valid.The survey encompassed gathering basic demographic information of the participants, as well as administering the Montreal Cognitive Assessment Scale, Patient Health Questionnaire Depression Scale, and Pittsburgh Sleep Quality Index Scale.Results:The cognitive functions of patients with MCI were found to be positively related to their education level( F=3.89, P<0.05).The correlation analysis indicated that sleep quality was positively correlated with depression( r=0.40, P<0.01)and negatively correlated with cognitive function( r=-0.22, P<0.01).Furthermore, a significant negative correlation was observed between depression and cognitive function( r=-0.20, P<0.01).The mediation analysis revealed that depression played a role in mediating the influence of sleep quality on cognitive function, with a mediation effect of -0.02(95% CI: -0.03--0.01). Conclusions:The cognitive function of elderly individuals with MCI can be significantly affected by sleep quality, with depression playing a mediating role.

OBJECTIVE: To explore the effect of Xuebijing injection on inflammation in sepsis by regulating intestinal microbiota and its metabolites. METHODS: A total of 45 male Sprague-Dawley (SD) rats were randomly divided into Sham operation group (Sham group), cecal ligation and perforation (CLP) induced sepsis group (CLP group), and Xuebijing intervention group (XBJ group, 4 mL/kg Xuebijing injection was injected intraperitoneally at 1 hour after CLP), with 15 rats in each group. The survival of rats was observed at 24 hours after operation and sacrificed. Feces were collected for 16S rRNA gene sequencing and liquid chromatography-mass spectrometry (LC-MS) analysis. RESULTS: At 24 hours after operation, all rats in the Sham group survived, the mortality of rats in the XBJ group was lower than that in the CLP group [47% (7/15) vs. 60% (9/15), P > 0.05]. Compared with the Sham group, the diversity of gut microbiota in the CLP group decreased, the dominant flora changed, and the abundance of inflammation-related flora increased. Xuebijing improved the changes in gut microbiota caused by sepsis, and α diversity showed an increasing trend (Ace index: 406.0±22.5 vs. 363.2±38.2, Chao1 index: 409.7±21.8 vs. 362.4±42.5, both P > 0.05). Restrictive constrained principal coordinate analysis (cPCoA) showed a high similarity in gut microbiota among the same group of rats. The CLP group was dominated by Bacteroidetes, while the Sham and XBJ groups were dominated by Firmicutes. In addition, compared with the CLP group, Xuebijing treatment increased the abundance of beneficial bacteria in septic rats, such as Verrucomicrobia, Akkermansia and Lactobacillus. LC-MS and orthogonal partial least squares discriminant analysis (OPLS-DA) showed that there were 12 main differential metabolites among the three groups, and there were certain correlations between these metabolites, which were related to amino acid and lipid metabolism. Correlation analysis showed a significant correlation between changes in metabolites and microbial communities. CONCLUSIONS Xuebijing can improve the survival rate of septic rats, regulate the composition of intestinal flora and related metabolites, which provides a new pathophysiological mechanism for Xuebijing in the treatment of sepsis.
Rats ; Male ; Animals ; Rats, Sprague-Dawley ; Gastrointestinal Microbiome ; RNA, Ribosomal, 16S ; Sepsis/metabolism* ; Inflammation

Perilla (Perilla frutescens L.) is an important edible-medicinal oil crop, with its seed containing 46%-58% oil. Of perilla seed oil, α-linolenic acid (C18:3) accounts for more than 60%. Lysophosphatidic acid acyltransferase (LPAT) is one of the key enzymes responsible for triacylglycerol assembly in plant seeds, controlling the metabolic flow from lysophosphatidic acid to phosphatidic acid. In this study, the LPAT2 gene from the developing seeds of perilla was cloned and designated as PfLPAT2. The expression profile of PfLPAT2 gene was examined in various tissues and different seed development stages of perilla (10, 20, 30, and 40 days after flowering, DAF) by quantitative real-time PCR (qRT-PCR). In order to detect the subcellular localization of PfLPAT2 protein, a fusion expression vector containing PfLPAT2 and GFP was constructed and transformed into Nicotiana benthamiana leaves by Agrobacterium-mediated infiltration. In order to explore the enzymatic activity and biological function of PfLPAT2 protein, an E. coli expression vector, a yeast expression vector and a constitutive plant overexpression vector were constructed and transformed into an E. coli mutant SM2-1, a wild-type Saccharomyces cerevisiae strain INVSc1, and a common tobacco (Nicotiana tabacum, variety: Sumsun NN, SNN), respectively. The results showed that the PfLPAT2 open reading frame (ORF) sequence was 1 155 bp in length, encoding 384 amino acid residues. Functional structure domain prediction showed that PfLPAT2 protein has a typical conserved domain of lysophosphatidic acid acyltransferase. qRT-PCR analysis indicated that PfLPAT2 gene was expressed in all tissues tested, with the peak level in seed of 20 DAF of perilla. Subcellular localization prediction showed that PfLPAT2 protein is localized in cytoplasm. Functional complementation assay of PfLPAT2 in E. coli LPAAT mutant (SM2-1) showed that PfLPAT2 could restore the lipid biosynthesis of SM2-1 cell membrane and possess LPAT enzyme activity. The total oil content in the PfLPAT2 transgenic yeast was significantly increased, and the content of each fatty acid component changed compared with that of the non-transgenic control strain. Particularly, oleic acid (C18:1) in the transgenic yeast significantly increased, indicating that PfLPAT2 has a higher substrate preference for C18:1. Importantly, total fatty acid content in the transgenic tobacco leaves increased by about 0.42 times compared to that of the controls, with the C18:1 content doubled. The increased total oil content and the altered fatty acid composition in transgenic tobacco lines demonstrated that the heterologous expression of PfLPAT2 could promote host oil biosynthesis and the accumulation of health-promoting fatty acids (C18:1 and C18:3). This study will provide a theoretical basis and genetic elements for in-depth analysis of the molecular regulation mechanism of perilla oil, especially the synthesis of unsaturated fatty acids, which is beneficial to the genetic improvement of oil quality of oil crops.
Acyltransferases ; Cloning, Molecular ; Escherichia coli/metabolism* ; Fatty Acids ; Perilla frutescens/metabolism* ; Plant Oils ; Plant Proteins/metabolism* ; Saccharomyces cerevisiae/metabolism* ; Seeds/chemistry* ; Tobacco/genetics*

Objectve:To study the effect of gabexate mesylate (GM) on acute lung injury (ALI) in septic rats based on metabonomics.Methods:Fifty-seven SD rats were randomly(random number) divided into three groups: sham operation group (SC group), cecal ligation puncture induced septic ALI group (CLP group), and intraperitoneal administration of GM at 1 h after CLP (CLP-GM group). Twenty-four h after the experiment, the survival of rats in the SC, CLP and CLP-GM groups was observed, the lung tissue was collected for HE staining to observe the pathological changes, and the plasma was collected for metabonomics detection to analyze the characteristics of metabolites.Results:Compared with the SC group, the infiltration of inflammatory cells in the lung tissue of rats in the CLP groupincreased significantly, and the metabolic profile of plasma changed significantly. However, the pathological and metabonomic characteristics of the CLP-GM group showed that the above changes were reversed after the application of GM. Twelve major differential metabolites were found in plasma. The metabolic pathways involved in the disorder included biosynthesis of phenylalanine, tyrosine and tryptophan, phenylalanine metabolism and sphingolipid metabolism.Conclusions:GM may improve septic ALI by regulating amino acid metabolism, sphingolipid metabolism and other metabolic pathways.

Objective:To investigate the changes of intestinal microecology in the early stage of sepsis rat model by 16S rDNA sequencing.Methods:Sixty male Sprague-Dawley (SD) rats were randomly divided into cecal ligation and puncture (CLP) group and sham operation group (Sham group), with 30 rats in each group. In the CLP group, sepsis rat model was reproduced by CLP method; the rats in the Sham group only underwent laparotomy without CLP. At 24 hours after the operation, the intestinal feces and serum samples of 8 rats in each group were collected. The survival rate of the rest rats was observed until the 7th day. The level of serum tumor necrosis factor-α (TNF-α) was detected by enzyme-linked immunosorbent assay (ELISA). Intestinal feces were sequenced by 16S rDNA sequencing technology. The operational taxonomic unit (OTU) data obtained after sequence comparison and clustering was used for α diversity and β diversity analysis, principal coordinate analysis and linear discriminant analysis effect size analysis (LEfSe) to observe the changes of intestinal microecology in early sepsis rats and excavate the marker flora.Results:At 24 hours after the reproduction of the model, the rats in the CLP group showed shortness of breath, scattered hair and other manifestations, and the level of serum TNF-α increased significantly as compared with that in the Sham group (ng/L: 43.95±9.05 vs. 11.08±3.27, P < 0.01). On the 7th day after modeling, the cumulative survival rate of the Sham group was 100%, while that of the CLP group was 31.82%. Diversity analysis showed that there was no significant difference in α diversity parameter between the Sham group and the CLP group (number of species: 520.00±52.15 vs. 492.25±86.61, Chao1 richness estimator: 707.25±65.69 vs. 668.93±96.50, Shannon index: 5.74±0.42 vs. 5.79±0.91, Simpson index: 0.93±0.03 vs. 0.94±0.05, all P > 0.05). However, the β diversity analysis showed that the difference between groups was greater than that within groups whether weighted according to OTU or not (abundance weighted matrix: R = 0.23, P = 0.04; abundance unweighted matrix: R = 0.32, P = 0.01). At the phylum level, the abundance of Proteobacteria and Candidatus_sacchari in the CLP group increased significantly as compared with the Sham group [18.100% (15.271%, 26.665%) vs. 6.974% (2.854%, 9.764%), 0.125% (0.027%, 0.159%)% vs. 0.018% (0.008%, 0.021%), both P < 0.05]. At the genus level, the abundance of opportunistic pathogen including Helicobacter, Ruthenium, Streptococcus, Clostridium ⅩⅧ in the CLP group was significantly higher than that in the Sham group [5.090% (1.812%, 6.598%) vs. 0.083% (0.034%, 0.198%), 0.244% (0.116%, 0.330%) vs. 0.016% (0.008%, 0.029%), 0.006% (0.003%, 0.010%) vs. 0.001% (0%, 0.003%), 0.094% (0.035%, 0.430%) vs. 0.007% (0.003%, 0.030%), all P < 0.05], and the abundance of probiotics such as Alloprevotella and Romboustia was significantly lower than that in the Sham group [7.345% (3.662%, 11.546%) vs. 22.504% (14.403%, 26.928%), 0.113% (0.047%, 0.196%) vs. 1.229% (0.809%, 2.29%), both P < 0.01]. LEfSe analysis showed that the probiotics belonging to Firmicutes were significantly enriched in the Sham group, and Romboustia was the most significantly enriched species. Opportunistic pathogens such as Helicobacter, Streptococcus and Clostridium ⅩⅧ were significantly enriched in the CLP group, Helicobacter_NGSU_ 2015 was the most significantly enriched species. Conclusion:In the early stage of sepsis, the intestinal microbiota structure of rats is significantly changed, which mainly shows that the abundance of Alloprevotella and other probiotics is significantly reduced, while that of Helicobacter and other opportunistic pathogens is significantly increased.

Objective:To explore the relationship between the changes in the lipid profiles and the intensity of inflammatory response and disease severity in patients with sepsis, in order to find a biomarker that can quickly evaluate the condition and prognosis of sepsis.Methods:A retrospective analysis was performed on 449 patients with sepsis admitted to department of critical care medicine of the First Affiliated Hospital of Zhengzhou University from October 2019 to May 2021, and 355 patients without sepsis hospitalized in the same period served as the control. The general demographic data, blood lipid and other clinical indicators within 24 hours after admission were collected and compared between the two groups. Bivariate correlation study was used to analyze the relationship between blood lipid levels and inflammation indicators and severity of illness in patients with sepsis. The receiver operator characteristic curve (ROC curve) was drawn to evaluate the predictive value of each blood lipid component on the 28-day mortality of patients with sepsis. According to the results of ROC curve analysis, the blood lipids were divided into two groups with different levels, and the Kaplan-Meier survival curve was used to compare the cumulative survival rates of the two groups without end-point event (the 28-day mortality was the end-point event).Results:Compared with non-septic patients, the levels of plasma total cholesterol (TC), high-density lipoprotein cholesterol (HDL-C), and low-density lipoprotein cholesterol (LDL-C) were significantly lower in patients with sepsis [TC (mmol/L): 2.93±1.33 vs. 4.01±1.14, HDL-C (mmol/L): 0.78±0.47 vs. 1.16±0.40, LDL-C (mmol/L): 1.53±1.00 vs. 2.71±0.98, all P < 0.05]. In patients with sepsis, plasma cholesterol levels were correlated with the degree of inflammation and severity of the disease to varying degrees, but the HDL-C had the strongest correlation with interleukin-6 (IL-6; r = -0.551, P = 0.000), procalcitonin (PCT, r = -0.598, P = 0.000), sequential organ failure assessment (SOFA; r = -0.285, P = 0.000). The ROC curve analysis showed that among all blood lipid components, HDL-C had the highest predictive value for 28-day mortality of sepsis patients, and the area under the ROC curve (AUC) was 0.718, when the best cut-off value was 0.69 mmol/L, the sensitivity and specificity were 67.3% and 65.2% respectively, and the positive predictive value and negative predictive value were 60.6% and 71.5% respectively. According to Kaplan-Meier survival curve analysis, the mortality of sepsis patients with HDL-C ≤ 0.69 mmol/L was significantly higher than the patients with HDL-C > 0.69 mmol/L, and the difference was statistically significant ( P < 0.000 1). In addition, the 28-day mortality [59.73% (135/226) vs. 28.70% (64/223)], the incidence of multiple organ dysfunction [41.15% (93/226) vs. 31.84% (71/223)], the probability of requiring mechanical ventilation and vasoactive drugs [mechanical ventilation: 56.64% (128/226) vs. 46.18% (103/223); vasoactive drugs: 54.42% (123/226) vs. 38.57% (86/223)], the positive rate of microbial culture [45.58% (103/226) vs. 35.43% (79/223)], and the probability of drug-resistant bacteria [19.91% (45/226) vs. 10.31% (23/223)] in the low HDL-C group of sepsis patients were all higher than the high HDL-C group, the differences were statistically significant (all P < 0.05). Conclusions:Plasma cholesterol levels, especially the HDL-C levels, can well reflect the intensity of inflammation and the severity of the disease in patients with sepsis. And the HDL-C levels can be used as a good biomarker for predicting the short-term prognosis of sepsis.

Background::Sepsis is a serious disease caused by infection. Aminophylline has anti-asthma and anti-inflammatory effects. We aimed to explore the safety and effect of aminophylline in sepsis.Methods::We conducted a clinical randomized controlled trial involving 100 patients diagnosed with sepsis within 48 h after intensive care unit (ICU) admission in two sites. All patients were randomized in a 1:1 ratio to receive standard therapy with or without aminophylline. The primary clinical outcome was all-cause mortality at 28 days.Results::From September 27, 2018 to February 12, 2020, we screened 277 septic patients and eventually enrolled 100 patients, with 50 assigned to the aminophylline group and 50 to the usual-care group. At 28 days, 7 of 50 patients (14.0%) in the aminophylline group had died, compared with 16 of 50 (32.0%) in the usual-care group ( P = 0.032). Cox regression showed that the aminophylline group had a lower hazard of death (hazard ratio = 0.312, 95% confidence interval: 0.129-0.753). Compared with the usual-care group, patients in the aminophylline group had a longer survival time ( P = 0.039 by the log-rank test). The effects of aminophylline on vasopressor dose, oxygenation index, and sequential organ failure assessment score were time-dependent with treatment. There were no significant differences in total hospitalization days, ICU hospitalization days, and rates of serious adverse events (all P > 0.05). No adverse events were observed in the trial. Conclusions::Aminophylline as an adjunct therapy could significantly reduce the risk of death and prolong the survival time of patients with sepsis.Trial registration::ChiCTR.org.cn, ChiCTR1800019173.

Objective:To investigate the relationship between serum cholinesterase (SChE) level and the prognosis of patients with septic shock (SS).Methods:A total of 594 patients with SS admitted to the First Affiliated Hospital of Zhengzhou University from June 2013 to June 2017 were enrolled. General data such as gender, age, acute physiology and chronic health evaluation Ⅱ (APACHEⅡ) score were recorded as well as routine blood test, procalcitonin (PCT), hepatic function, renal function, coagulation function and blood gas analysis parameters within 48 hours of SS diagnosis. The patients were followed by telephone from September to October in 2019, and the outcome was recorded. The primary outcome was all-cause death 28 days after discharge. The secondary outcomes were all-cause death in intensive care unit (ICU) and 2 years after discharge, and the length of ICU stay. The patients were divided into two groups according to prognosis of 28 days: the survival group and the death group. The clinical data of the two groups were compared. Multivariate Cox regression analysis was used to screen prognostic risk factors of 28 days in patients with SS. The receiver operating characteristic (ROC) curve was used to explore predictive value of liver function parameter SChE for 28-day prognosis of patients with SS. The patients were divided into two groups according to the levels of SChE: the low SChE group (SChE ≤ 4 000 U/L) and the normal SChE group (SChE > 4 000 U/L). Kaplan-Meier survival curves were used to compare the cumulative survival rates without endpoint event of patients with different SChE levels.Results:A total of 385 patients with SS were enrolled according to the inclusion and exclusion criteria, and a total of 356 patients were followed up successfully, with a follow-up rate of 92.5% (356/385). There were 142 survival patients and 214 death patients at 28 days, with a 28-day mortality rate of 60.1% (214/356). There were 116 survival patients and 240 death patients at 2 years, with a 2-year mortality rate of 67.4% (240/356). Compared with the 28-day survival group, the patients in the death group were older and had higher APACHEⅡ score, partial hepatic and renal function parameters, higher level of blood lactate (Lac) and lower levels of white blood cell count (WBC), platelet count (PLT) and SChE with statistically significant differences. Multivariate Cox regression analysis showed that the age [relative risk ( RR) = 1.444, 95% confidence interval (95% CI) was 1.090-1.914, P = 0.010], APACHEⅡ score ( RR = 2.249, 95% CI was 1.688-2.997, P = 0.000), SChE ( RR = 1.469, 95% CI was 1.057-2.043, P = 0.022), and Lac ( RR = 2.190, 95% CI was 1.636-2.931, P = 0.000) were independent risk factors for 28-day mortality of patients with SS. The ROC curve analysis showed that SChE had a weak prognostic value for 28-day prognosis of patients with SS [the area under ROC curve (AUC) was 0.574]. However, the combined predictive value of SChE, APACHEⅡ score and Lac was greater than APACHEⅡ score or Lac alone for prediction (AUC: 0.807 vs. 0.785, 0.697), with a sensitivity of 79.9% and a specificity of 68.5%. Compared with the normal SChE group ( n = 88), the 28-day mortality of patients in the low SChE group ( n = 268) was significantly increased [63.1% (169/268) vs. 51.1% (45/88), P < 0.05], but ICU mortality [59.7% (160/268) vs. 48.9% (43/88)], 2-year mortality [69.8% (187/268) vs. 60.2% (53/88)] or the length of ICU stay [days: 4 (2, 7) vs. 5 (2, 9)] between the two groups showed no statistical significance (all P > 0.05). Kaplan-Meier survival curve analysis showed that the cumulative survival rate without endpoint event of patients in the low SChE group was significantly lower than that in the normal SChE group (Log-Rank test: χ 2 = 5.852, P = 0.016). Conclusions:Increased risk of 28-day mortality in patients with SS whose SChE is below normal. The level of SChE is an independent risk factor for 28-day death in SS patients, and it is one of the indicators to evaluate the short-term prognosis of patients with SS.