Objective: To investigate the impact of RHAG 808A variant, commonly identified in the Chinese population, on RhAG protein, RhD and RhCE antigens expression through in vivo and in vitro expression analysis. Methods: A missense mutation of RHAG gene (c. 808G>A, p. Val270Ile) with high frequency was found in KMxD database. Bioinformatics analysis was performed using Polyphen-2 and Provean software. High resolution melting (HRM) method was utilized to screen for the variant carriers in the blood donors. The expression of RhAG protein, RhD and RhCE antigens on the surface of red cells of variant carriers were detected via flow cytometry. Wild-type and mutant vectors of RHAG were constructed and transfected into HEK 293T cells for in vitro expression analysis. Then, the expression of RhAG protein, RhD and RhCE antigens were analyzed by flow cytometry. Results: Polyphen-2 and Provean software suggested that the amino acid change (p. Val270Ile) of RhAG protein may be harmful or neutral respectively. Among the 999 blood donors from Guangzhou Blood Center, 4 homozygous carriers and 99 heterozygous carriers of RHAG 808A mutant allele were identified. The frequency of this allele was 5.4% (107/1 998). No significant differences in RhAG protein, RhD and RhCE antigens expression level was identified between the homozygous carriers, heterozygous carriers of RHAG 808A variant allele and the wild-type individuals. In vitro analysis for antigen expression study obtained the similar results. Conclusion: The RHAG 808A variant allele commonly identified in the Chinese population has no effect on the expression of RhAG protein, RhD and RhCE antigens, so the variant should be a population polymorphism site.

Objective To explore the prognostic value of serum neutrophils/lymphocytes(NLR)for first-line treatment of patients with advanced gastric cancer using programmed cell death receptor 1(PD-1)inhibitors.Methods A total of 168 patients with advanced gastric cancer who were treated with immunotherapy combined with chemotherapy in the Fourth Hospital of Qinhuangdao from January 2018 to January 2021 were selected as study subjects,and the follow-up period was terminated at January 2023.The patients'data were collected,hematological and tumor markers before the combined treatment were analyzed,and the optimal cut-off value of NLR was calculated using X-tile software.The effect of NLR expression on the survival rate of patients with advanced gastric cancer was analysed by the Kaplan-Meier survival curve.Receiver operating curve(ROC)was used to analyze the predictive value of NLR in patients with advanced gastric cancer.The related factors affecting the disease progression of patients with advanced gastric cancer were screened combined with Cox proportional risk model.Results Among 168 patients,the optimal cut-off value of serum NLR before treatment was 2.41.Patients were divided into high NLR group(NLR＞2.41,n=93)and low NLR group(NLR＜2.41,n=75).NLR was related to tumor differentiation,distant metastasis,composite positive scores of PD-L1,carcinoembryonic antigen and cancer antigen 125(P＜0.05);the effective rate in the low NLR group was significantly higher than that in the high NLR group(P＜0.05);the median progression free survival(PFS)and the overall survival(OS)of patients in the low NLR group were both longer than those in the high NLR group(PFS:P=0.006;OS:P=0.023);ROC analysis showed that the area under the curve of NLR for the prognosis of advanced gastric cancer patients was 0.740,sensitivity was 81.50％,and specificity was 69.70％;in multivariate analysis,except initial NLR value,tumor differentiation degree and distant metastasis were also independent predictors of poor prognosis in patients with advanced gastric cancer(P＜0.05).Conclusion Among patients with advanced gastric cancer who received first-line immunotherapy combined with chemotherapy,pretreatment NLR is correlated with efficacy and PFS/OS,and has high value in predicting the prognosis of immunotherapy for advanced gastric cancer.

With the widespread adoption of technologies such as diagnostic imaging, interventional medicine, radiotherapy, and nuclear medicine, a growing number of people are exposed to low-dose ionizing radiation. Currently, the biological effects of low-dose radiation remain unclear, necessitating the identification of sensitive and specific biomarkers for risk assessment and health monitoring of such exposure. In this paper, we review the latest research progress in low-dose ionizing radiation biomarkers from the five perspectives of cytogenetics, DNA damage, transcriptome, proteome, and metabolomics. This review aims to provide a theoretical basis for the study of the biological effects of low-dose radiation.

Objective:To explore the effect of multidisciplinary management combined with 60-second high-risk diabetic foot screening in diabetic foot.Methods:From January to December 2022, 138 patients with diabetic foot were selected from Xinxiang Central Hospital by convenience sampling. The patients were randomly divided into a control group and an observation group, with 69 cases in each group. Control group implemented routine follow-up management of diabetic foot, and observation group carried out multidisciplinary management combined with 60-second high-risk diabetic foot screening on the basis of control group, and the intervention lasted for six months. The progress of Wagner grading of diabetic foot and foot self-care were compared between the two groups.Results:After intervention, the number of Wagner grading progression patients in observation group and control group was four cases (5.80%) and 10 cases (14.49%), respectively. The number of progression patients in observation group was less than that in control group, and the difference was statistically significant (χ 2=4.161, P=0.041). The total score and dimension scores of diabetic foot self-management in the two groups after the intervention were higher than those before the intervention, but only the scores of observation group before and after the intervention were statistically significant ( P<0.05). After intervention, the total score and dimension scores of diabetic foot self-management in observation group were higher than those in control group, with a statistically significant difference ( P<0.05) . Conclusions:Multidisciplinary management combined with 60-second high-risk diabetic foot screening can effectively delay the progress of diabetic foot and improve patients' foot self-care.

Objective To investigate the predictive value of a nomogram model constructed with clinical variables and multiparametric magnetic resonance imaging(MRI)radiomics features in prognosis of patients undergoing chemotherapy for breast cancer.Methods A total of 150 breast cancer patients who received chemotherapy in Qingdao Central Hospital from January 2020 to December 2021 were enrolled for the study.All patients underwent breast MRI examination before chemotherapy,and the optimal radiomics features were extracted from the tumor regions of interest on multiparametric MRI image which were manually outlined using segmentation software.After 2-year follow-up,the patients were divided into good prognosis group and poor prognosis group according to whether there were disease recurrence,metastasis and death,and they were divided into training set(n=105)and test set(n=45)in a ratio of 7:3.The clinical data and multiparametric MRI radiomics features were collected,and the factors affecting the prognosis of breast cancer patients receiving chemotherapy were analyzed by univariate and multivariate Logistic regression analyses.Three models,namely clinical model,radiomics model,and clinical-multiparametric MRI radiomics-based nomogram model were constructed,and their predictive value in the prognosis of breast cancer patients treated with chemotherapy was analyzed with receiver operating characteristic curves.Results Out of 150 cases of breast cancer treated with chemotherapy,52 cases were included in poor prognosis group,with 33 cases of recurrence and/or metastases and 19 cases of deaths.Logistic regression analysis identified TNM stage,estrogen receptor and progesterone receptor as clinical predictors for prognosis of breast cancer patients treated with chemotherapy(P<0.05).There were 69 and 36 patients with good and poor prognoses in training set,and 29 and 16 patients with good and poor prognoses in test set.Through least absolute shrinkage and selection operator algorithm,16 radiomics features related to the prognosis of breast cancer patients treated with chemotherapy were screened out from TIRM,DWI,and DCE-MRI sequences,and their radiomics scores were calculated.Compared with patients with poor prognosis,those with good prognosis in training set and test set had higher radiomics scores(P<0.05).ROC curve analysis showed that the area under the curve of radiomics model,clinical model,and nomogram model were 0.853,0.741,0.923 in training set(P<0.05),and 0.797,0.749,0.896 in test set(P<0.05),respectively.Conclusion Based on pre-chemotherapy radiomics scores,TNM stage,estrogen receptor and progesterone receptor are identified as independent predictors for prognosis of breast cancer patients treated with chemotherapy,and the clinical-multiparametric MRI radiomics-based nomogram can effectively improve the predictive efficacy of prognosis in breast cancer patients treated with chemotherapy.

Background::At present, a large number of chronic obstructive pulmonary disease (COPD) patients are undiagnosed in China. Thus, this study aimed to develop a simple prediction model as a screening tool to identify patients at risk for COPD.Methods::The study was based on the data of 22,943 subjects aged 30 to 79 years and enrolled in the second resurvey of China Kadoorie Biobank during 2012 and 2013 in China. We stepwisely selected the predictors using logistic regression model. Then we tested the model validity through P-P graph, area under the receiver operating characteristic curve (AUROC), ten-fold cross validation and an external validation in a sample of 3492 individuals from the Enjoying Breathing Program in China.Results::The final prediction model involved 14 independent variables, including age, sex, location (urban/rural), region, educational background, smoking status, smoking amount (pack-years), years of exposure to air pollution by cooking fuel, family history of COPD, history of tuberculosis, body mass index, shortness of breath, sputum and wheeze. The model showed an area under curve (AUC) of 0.72 (95% confidence interval [CI]: 0.72-0.73) for detecting undiagnosed COPD patients, with the cutoff of predicted probability of COPD=0.22, presenting a sensitivity of 70.13% and a specificity of 62.25%. The AUROC value for screening undiagnosed patients with clinically significant COPD was 0.68 (95% CI: 0.66-0.69). Moreover, the ten-fold cross validation reported an AUC of 0.72 (95% CI: 0.71-0.73), and the external validation presented an AUC of 0.69 (95% CI: 0.68-0.71).Conclusion::This prediction model can serve as a first-stage screening tool for undiagnosed COPD patients in primary care settings.

Aggregatibacter aphrophilus is a member of the normal flora of the human oral cavity and pharynx, a Gram-negative fastidous bacteria, belonging to agglomerates, which is a normal mixed oropharyngeal flora in humans, most commonly colonized on the surface of oral mucosa. This bacterial infection is rare in clinical practice, and it is difficult to culture and identify the bacteria, which is easy to be missed. A patient with intracranial infection was admitted to Huaihe Hospital, who showed fever and headache as the main clinical manifestations, and Aggregatibacter aphrophilus was detected by the metagenomic next-generation sequencing of cerebrospinal fluid. The patient′s symptoms were significantly improved after anti-infection treatment.

OBJECTIVE: To analyze the expression of microRNA-106a(miR-106a) in renal cell carcinoma (RCC) and its correlation with clinicopathological characteristics and prognosis of patients. METHODS: Serum samples of 64 patients with newly diagnosed RCC were collected as the study group, and serum samples of 40 healthy individuals were used as the control group. Real-time fluorescence quantitative PCR was used to determine the expression level of miR-106a in each group. The correlation between miR-106a expression and clinicopathological characteristics of the patients was studied with single factor analysis and multiple Logistic regression model. Kaplan-Meier survival curve was used to analyze its correlation with the prognosis of patients. RESULTS: Before surgery, compared with the control group (1.17± 0.58), RCC patients with high- (9.15± 0.96) and low-expression(3.45± 0.37) had increased expression of miR-106a. Postoperatively, the expression level of miR-106a in both groups of patients decreased to 1.53± 0.18 and 1.75± 0.21, respectively. The area under the curve (AUC) of the diagnostic value of serum miR-106a for RCC was 0.782 (95% CI: 0.661-0.902). With an optimal cutoff value of 0.531, the sensitivity was 78.10% and the specificity was 75.00%. Serum miR-106a level of RCC patients with TNM stage T3 or T4, clinical stage II or III, lymph node metastasis, and recurrence were significantly increased. The high expression of serum miR-106a in RCC patients has an independent relationship with the tumor TNM stage and lymph node metastasis. Of the 64 follow-up patients, 4 were lost and 30 had died. Among them, the median survival time of patients in the miR-106a high expression group was 30 months, which was significantly shorter than that of the low expression group (52 months). CONCLUSION The serum level of miR-106a is elevated in RCC patients, and may be used as a molecular marker for the diagnosis of RCC. High serum expression of miR-106a is an independent predictor for tumor TNM stage and lymph node metastasis, as well as an independent predictor for poor prognosis of RCC patients.
Biomarkers, Tumor/genetics* ; Carcinoma, Renal Cell/genetics* ; Gene Expression Regulation, Neoplastic ; Humans ; Kidney Neoplasms/genetics* ; MicroRNAs/genetics* ; Neoplasm Recurrence, Local ; Prognosis

Objective:To analyze the clinical characteristics and prognostic factors in patients with new-onset acute heart failure (AHF) and acutely decompensated chronic heart failure (ADCHF).Methods:Patients with heart failure (HF) admitted to Beijing Hospital during January 2009 to December 2017 with follow-up records were retrospectively enrolled. According to the duration of heart failure, the patients were divided into new-onset AHF group (duration of HF<1 month) and ADCHF group (duration of HF ≥1 month). Clinical data were collected and endpoint events (all-cause death and cardiovascular death) were recorded. The Kaplan-Meier survival curve and the log-rank method was used to compare survival between different groups. The multivariate Cox regression model was used to analyze the independent risk factors for the end-point events in patients with new-onset AHF and ADCHF.Results:The study enrolled 562 patients,292 (52.0%) with new-onset AHF and 270 (48.0%) with ADCHF. Patients with new-onset AHF were more likely to have coronary heart disease, acute myocardial infarction, higher diastolic blood pressure and higher troponin I levels(χ2=12.999,15.018, t=-2.088, Z=-2.727; all P<0.05). Patients with ADCHF were more likely to have poor cardiac function, atrial fibrillation, larger left ventricle and left atrium diameter, higher proportion of patients with pulmonary hypertension(χ2=16.565, 15.688, t=2.714, 5.029, χ2=15.274; all P<0.05). There were 205 (36.5%) all-cause deaths and 132 (23.5%) cardiovascular deaths during 28 (14, 60) months of follow-up. All-cause mortality rate [33.2%(97/292) vs. 40.0%(108/270), log-rank P=0.010] and cardiovascular mortality rate [18.8%(55/292) vs. 28.5%(77/270), log-rank P=0.001]were significantly lower in patients with new-onset AHF than those in ADCHF group. Multivariate Cox regression analysis showed that low body mass index (BMI), reduced hemoglobin, reduced resting heart rate, enlarged left atrium, and segmental wall motion abnormalities were independent risk factors for poor prognosis in new-onset AHF patients. It was different with ADCHF patients. Conclusion:Patients with new-onset AHF are more likely to have coronary heart disease; and lower BMI, reduced hemoglobin, acute coronary disease are associated with poor prognosis of patients. It is necessary to identify the underlying diseases early and actively standardize treatment to avoid the deterioration of cardiac function and readmission.

Objective:To explore the effect of music relaxation training (MRT) in patients with breast cancer after axillary lymph node dissection (ALND) .Methods:A total of 72 breast cancer patients admitted to Qingdao Central Hospital and Qingdao Cancer Hospital from January 2019 to January 2021 were selected for control experiments. All patients were treated with ALND based on their specific conditions. According to the random number table method, the patients were divided into the control group and the intervention group, each with 36 cases. The control group carried out routine nursing, and the intervention group conducted MRT on the basis of routine nursing. The Short Form 36 Health Survey (SF-36) and Visual Analog Scale (VAS) scores of the two groups before treatment and at discharge were compared.Results:After the intervention, the SF-36 score and satisfaction of the intervention group were higher than those of the control group, and the VAS score was lower than that of the control group, and the differences were statistically significant ( P<0.05) . Conclusions:The application of MRT after ALND in breast cancer patients can improve the health of patients, increase patient satisfaction, and reduce their pain.