Objective To clone and characterize Profilin encoding genes in Amaranthus spinosus and to analyze the contribution of different amino acids in isoallergens to allergen antigenicity and tertiary structure. Methods The primers were designed according to the core sequences which were obtained by bioinformatic analysis of the known Profilin amino acid sequences, followed by gene cloning from the Ama- ranthus spinosus cDNA pool and subsequent confirmation by double-digestion, colony PCR and DNA sequen- cing. Antigenicity evaluation and tertiary structural modeling of the encoded protein were accomplished by online software MULTIPRED and SWISS-MODEL, respectively. Results Two panallergenic genes, named as PRF7 and PRF23, were acquired from Amaranthus spinosus. Sequence and structure analysis demonstra- ted that there was some discrepancy in tertiary structures of the encoded proteins, besides distinct difference in their amino acid sequences. PRF7 exhibited high homology with panallergen Profilins Q64LH0, with the identities 98%, whereas the homology of PRF23 and Q9XF42 (apple allergen) was 81%. Q64LH0 and PRF23 were modeled as 3nulA (Q42449) and lg5uB (Q9LE18), respectively. PRF23 exhibited distinct0 three dimensional structural difference in certain fragments compared with Q64LH0 and other Profilins. Though the average values of antigenicity displayed no difference between Q64LH0 and PRF23 on whole se- quences, the antigenicity of PRF23 on certain fragments was obviously lower than that of Q64LHO because of the alteration of some amino acids with different characters, implying the cause of lower incidence of hay fe- ver in South China than in North China. Conclusion Based on sequence analysis, antigenicity evaluation and tertiary structural modeling for Q64LH0 and PRF23, we obtained lots of useful information about the contribution of different amino acids to antigenicity and protein structures, thus would facilitate allergen ge- netic improvement by amino acid replacement.

Objective:To investigate the dynamic changes of the luminal microbiota in the jejunum following administration of proton pump inhibitors (PPIs) in a rat model.Methods:Rats were randomized into six groups (n =6 each group).A group of rats were sacrificed just after anesthesia as normal control (0 d) and,other five groups were continuously administered with omeprazole (10 mg/kg twice daily,intraperitoneally) and were euthanized at 5,9,14,21,28 days following the treatment,respectively.Total DNA in the luminal contents of jejunum was extracted and was used for polymerase chain reaction (PCR) amplification with the primer set targeted the hypervariable V3 region of 16S ribosomal RNA genes.Subsequently,the amplicons were separated by denaturing gradient gel electrophoresis (DGGE).After the gels were stained and photographed,the bands were cut out and sequenced to determine the closest bacterial relatives with the BLAST.The DGGE profiles were analyzed to evaluate the shifts of the microbiota composition and diversity following treatments.Results:Changes of the jejunal microbiotas in rats were observed at 5 and 9 days post PPI administration,as characterized by outgrowth of Streptococcus pneumonia,Clostridium saccharolyticum and Lactococcus garvieae compared to those of the controls (0 d).With time extension of PPI treatment,the mictobiotas significantly shifted toward dysbiotic state,in which the opportunistic pathogens,including Ertterococcus faecalis and Clostridium difficile,were strikingly expanded,especially 21 days later.However,the commensals such as Lactobacillus reuteri and Weissella koreensis were markedly declined in PPI-treated animals compared with the controls.The similarity of the jejunal microbiotas between PPI-treated animals and controls was markedly reduced following PPI treatment,reaching (56.1 ± 16.7) ％ at 28 days.Conclusion:Our data demonstrate that the gastric acid suppression could induce shifts of the jejuna microbiota in a rat model.More importantly,long-term use (＞ 14 d) of PPI could lead to the dysbiosis of the jejunal microbiota,which might be related causally to increased susceptibility to enteric infection.

Objective: To explore the correlation between pull-up ability and upper body composition of male college students in a college in Guangxi, and to provide scientific guidance for college students’ exercise. Methods: A total of 685 male college students were randomly selected from a college in Guangxi.Pull up tests were implemented according to the national physical health test standards. Measurements of muscle mass, fat mass, fat percentage, etc. of the upper limbs were conducted by using the Ogilvy Body Composition Meter (TANITA MC-180). Data entry and analysis were performed by using SPSS 23.0. Results: The pass rate of male college students in the region was 21.7%; There was a statistically significant difference in the fat mass and percentage of body fat between males with different pull-up ability (F=11.30，14.18，12.91，15.22，P<0.01).After controlling age, height, weight and BMI, partial correlation analysis showed that there was a negative correlation between the pull-up ability of male college students and the fat mass and limb fat rate of both upper limbs(r=-0.22, -0.33, -0.31, -0.38, P<0.01). Conclusion The ability of male students in Guangxi to pull up is needed to be improved. Pull-up exercises can reduce fat mass and fat percentage in the upper limbs and improve body composition.

Objective To analyze the correlation of interferon-induced protein with tetratricopeptide repeats 1(IFIT1)with immune infiltration and prognosis of ovarian cancer(OC).Methods GEO database was employed to select the tumor immune related genes,and Kaplan-Meier and Prognoscan databases were used to identify the genes significantly associated with OC prognosis.The differential expression of IFIT1 between OC tissue and normal tissue were confirmed with GEPIA,Human Protein Atlas,and Timer databases.The expression level of IFIT1 in OC tissues with different grades and stages were analyzed in the UALCAN database.In addition,based on David database,GO enrichment analysis was used to analyze the interacting genes and proteins of IFIT1 in the String and Genemania databases.Timer and Tisidb databases verified the correlation between IFIT1 and immune cells mutually.Finally,after IFIT1 knockdown xenograft model was constructed based on lentiviral vector of IFIT1 shRNA,the tumor growth was observed in the transplanted nude mice,and infiltration of neutrophils was observed with immunohistochemical assay.Results FIT1,a tumor immune gene,selected from the GEO database,Kaplan-Meier and Prognoscan databases,was negatively correlated with the OC prognosis.GEPIA,Human Protein Atlas,Timer database,and UALCAN database indicated that the expression level of IFIT1 was significantly higher in the OC tissues than the normal ovarian tissues,and had no obvious correlation with tumor stage and grade.Analysis in String,Genemania,and David database found the interaction genes and proteins of IFIT1 were enriched in activation of 2'-5'oligonucleotide synthase,virus defense,and innate immunity,and other processes.The Timer database presented that IFIT1 was positively correlated with the infiltration of CD8+T cells,B cells,dendritic cells,neutrophils,and macrophage in OC,with neutrophils having the most significant correlation.Tisidb and GSCA also confirmed the positive correlation between IFIT1 and neutrophil infiltration in OC(P＜0.05).RT-qPCR and Western blotting confirmed that IFIT1 knockdown resulted in suppressed tumor growth in OC cells xenograft nude mice(P＜0.05)and reduced neutrophil infiltration in the xenograft tissues.Conclusion IFIT1 may influence the malignant progression of OC by promoting neutrophil infiltration.

Objective:To explore the diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers by comparing the differences of whole blood cell parameters between occupational radiation injury population and occupational health examination population.Methods:In February 2023, 184 radiation workers who received occupational health examinations in our hospital and occurrenced chromosome aberration from July 2021 to July 2022 were retrospectively selected as the radiation injury group. And other 184 radiation workers encountered in the same period without chromosome aberration occurrence were selected as the control group. Collected whole blood cell parameters from two groups of research subjects, conducted comparative analysis, constructed a logistic regression model, and evaluated the diagnostic value of the logistic regression model for radiation injury on radiation workers by receiver operating characteristic curve (ROC) and area under curve (AUC) . In addition, with the same standard, 60 radiation workers with chromosome aberration and 60 radiation workers without chromosome aberration from August 2022 to January 2023 were included in the validation queue to validate the logistic regression model.Results:Neu_X, Neu_Y, Neu_Z, Lym_X, Lym_Y, Lym_Z, Mon_X, Mon_Y, Mon_Z, Micro, MCHC in the radiation injury group were significantly higher than those in the control group, and the difference was statistically significant ( P<0.05) . And MCV and Macro in the radiation injury group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . Moreover, logistic regression analysis showed that Lym_X, Lym_Y, Lym_Z, MCHC, Micro were all independent risk factors for diagnosing radiation injury on radiation workers ( OR=1.08、1.02、0.99、1.06、51.32, P<0.05) . ROC curve analysis showed that the AUC, sensitivity, specificity, and accuracy of the logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro in diagnosing radiation injury on radiation workers were 0.80, 85.9%, 65.8% and 75.9% respectively. The validation queue verified the logistic regression model and the AUC, sensitivity, specificity, and accuracy of the logistic regression model were 0.80, 81.7%, 71.7% and 76.7% respectively, the model fitted well. Conclusion:Radiation damage can cause changes in multiple whole blood cell parameters of radiation workers. The logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro showed good diagnosis ability and can be used for the screening of radiation injury on radiation workers.

Objective:To explore the diagnostic value of whole blood cell parameters logistic regression model for radiation injury on radiation workers by comparing the differences of whole blood cell parameters between occupational radiation injury population and occupational health examination population.Methods:In February 2023, 184 radiation workers who received occupational health examinations in our hospital and occurrenced chromosome aberration from July 2021 to July 2022 were retrospectively selected as the radiation injury group. And other 184 radiation workers encountered in the same period without chromosome aberration occurrence were selected as the control group. Collected whole blood cell parameters from two groups of research subjects, conducted comparative analysis, constructed a logistic regression model, and evaluated the diagnostic value of the logistic regression model for radiation injury on radiation workers by receiver operating characteristic curve (ROC) and area under curve (AUC) . In addition, with the same standard, 60 radiation workers with chromosome aberration and 60 radiation workers without chromosome aberration from August 2022 to January 2023 were included in the validation queue to validate the logistic regression model.Results:Neu_X, Neu_Y, Neu_Z, Lym_X, Lym_Y, Lym_Z, Mon_X, Mon_Y, Mon_Z, Micro, MCHC in the radiation injury group were significantly higher than those in the control group, and the difference was statistically significant ( P<0.05) . And MCV and Macro in the radiation injury group were lower than those in the control group, and the difference was statistically significant ( P<0.05) . Moreover, logistic regression analysis showed that Lym_X, Lym_Y, Lym_Z, MCHC, Micro were all independent risk factors for diagnosing radiation injury on radiation workers ( OR=1.08、1.02、0.99、1.06、51.32, P<0.05) . ROC curve analysis showed that the AUC, sensitivity, specificity, and accuracy of the logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro in diagnosing radiation injury on radiation workers were 0.80, 85.9%, 65.8% and 75.9% respectively. The validation queue verified the logistic regression model and the AUC, sensitivity, specificity, and accuracy of the logistic regression model were 0.80, 81.7%, 71.7% and 76.7% respectively, the model fitted well. Conclusion:Radiation damage can cause changes in multiple whole blood cell parameters of radiation workers. The logistic regression model based by Lym_X, Lym_Y, Lym_Z, MCHC and Micro showed good diagnosis ability and can be used for the screening of radiation injury on radiation workers.

Objective:To understand the characteristics of type D personality in patients with ischemic stroke, and to explore the correlation between type D personality and carotid plaque vulnerability in patients with ischemic stroke.Methods:From November 2019 to December 2020, convenience sampling was used to select 125 patients with ischemic stroke who underwent carotid color Doppler ultrasound examination in the Department of Neurology, Affiliated Hospital of Jining Medical University as the research subject. Carotid plaques were measured by color Doppler ultrasound in patients with ischemic stroke to determine whether they were vulnerable plaques. The patients were investigated using the Type D Personality Scale.Results:The proportion of type D personality in ischemic stroke patients was 52.8% (66/125) . Logistic regression analysis showed that type D personality and the social inhibition dimension of type D personality were the influencing factors of carotid plaque vulnerability in patients with ischemic stroke ( P<0.05) . Conclusions:Type D personality is closely associated with carotid plaque vulnerability in ischemic stroke patients. Medical and nursing staff should strengthen the screening of type D personality in patients with ischemic stroke and implement early intervention.

Objective:To screen risk factors for carotid plaque vulnerability in patients with ischemic stroke and construct a risk prediction model.Methods:From November 2019 to January 2021, a total of 164 patients with ischemic stroke hospitalized in the Neurology Department of the Affiliated Hospital of Jining Medical University were selected as the study subjects by convenience sampling method. Color doppler ultrasound was used to measure carotid plaques in patients with ischemic stroke to determine whether they were vulnerable plaques. The patients were surveyed using the General Information Questionnaire and the Type D Personality Scale. Binary Logistic regression analysis was used to explore the risk factors of carotid plaque vulnerability in ischemic stroke patients, and based on this, a risk prediction model for carotid plaque vulnerability in ischemic stroke patients was constructed.Results:A total of 87 patients with ischemic stroke had vulnerable carotid plaques. The results of binary Logistic regression analysis showed that age ( OR=1.136, 95% CI: 1.052-1.226), total score of Type D Personality Scale ( OR=1.170, 95% CI: 1.043-1.312), smoking history ( OR=3.058, 95% CI: 1.054-8.875), homocysteine ( OR=1.400, 95% CI: 1.179-1.664), triglycerides ( OR=2.356, 95% CI: 1.534-3.619) were risk factors for carotid plaque vulnerability in stroke patients ( P<0.05). The results of risk prediction model based on risk factors show that, the area under the receiver operating characteristic of the subjects was 0.935, indicating good clinical predictive ability. Conclusions:Age, total score of Type D Personality Scale, smoking history, homocysteine and triglyceride are risk factors of carotid plaque vulnerability in stroke patients. The risk prediction model can early identify and screen high-risk factors for carotid plaque vulnerability in ischemic stroke patients, and is worthy of clinical promotion and practice.