Objective To explore the efficacy of single and combined parameters from 4 non-Gaussian diffusion models for differentiating breast imaging reporting and data system(BI-RADS)MRI category 4 benign and malignant breast tumors.Methods A total of 161 BI-RADS MRI category 4 breast lesions from 159 patients were retrospectively enrolled.Based on pathological results,the lesions were divided into malignant group(n=132)and benign group(n=29).The apparent diffusion coefficient(ADC)values were calculated from diffusion weighted imaging(DWI)sequences.Multi-b-value diffusion imaging data were acquired and fitted using 4 non-Gaussian models to obtain respective parameters,including diffusion kurtosis imaging(DKI),stretched exponential model(SEM),continuous-time random walk(CTRW)and fractional order calculus(FROC)model.Univariable and multivariable logistic regression analyses were employed to identify the diffusion quantitative indicators useful for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.Receiver operating characteristic(ROC)curves were drawn,and the optimal threshold was determined using Youden index.The differentiating performance of ADC value,single parameter and their combination from non-Gaussian diffusion models were assessed and compared according to the area under the curve(AUC)of ROC curves,as well as the sensitivity,specificity and accuracy under the optimal thresholds.Results In malignant group,αCTRW,KDKI and μFROC values were higher,while ADC,DCTRW,DFROC,DDCSEM,αSEM and DDKI values were lower than those in benign group(all P＜0.05).Multivariable logistic regression analysis identified DCTRW and αCTRW values as independent factors for differentiating benign and malignant BI-RADS MRI category 4 breast tumors(both P＜0.05),and a combined model was then constructed.The AUC of the combined model was higher than that of each single parameter including ADC,DCTRW and αCTRW values(all P＜0.05).Conclusion The combined model of DCTRW and αCTRW had better efficacy than each single parameter for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.

Objective To explore the efficacy of single and combined parameters from 4 non-Gaussian diffusion models for differentiating breast imaging reporting and data system(BI-RADS)MRI category 4 benign and malignant breast tumors.Methods A total of 161 BI-RADS MRI category 4 breast lesions from 159 patients were retrospectively enrolled.Based on pathological results,the lesions were divided into malignant group(n=132)and benign group(n=29).The apparent diffusion coefficient(ADC)values were calculated from diffusion weighted imaging(DWI)sequences.Multi-b-value diffusion imaging data were acquired and fitted using 4 non-Gaussian models to obtain respective parameters,including diffusion kurtosis imaging(DKI),stretched exponential model(SEM),continuous-time random walk(CTRW)and fractional order calculus(FROC)model.Univariable and multivariable logistic regression analyses were employed to identify the diffusion quantitative indicators useful for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.Receiver operating characteristic(ROC)curves were drawn,and the optimal threshold was determined using Youden index.The differentiating performance of ADC value,single parameter and their combination from non-Gaussian diffusion models were assessed and compared according to the area under the curve(AUC)of ROC curves,as well as the sensitivity,specificity and accuracy under the optimal thresholds.Results In malignant group,αCTRW,KDKI and μFROC values were higher,while ADC,DCTRW,DFROC,DDCSEM,αSEM and DDKI values were lower than those in benign group(all P＜0.05).Multivariable logistic regression analysis identified DCTRW and αCTRW values as independent factors for differentiating benign and malignant BI-RADS MRI category 4 breast tumors(both P＜0.05),and a combined model was then constructed.The AUC of the combined model was higher than that of each single parameter including ADC,DCTRW and αCTRW values(all P＜0.05).Conclusion The combined model of DCTRW and αCTRW had better efficacy than each single parameter for differentiating benign and malignant BI-RADS MRI category 4 breast tumors.

Objective: To explore the linear associations between social support, coping strategies, depression, anxiety, and cognitive function among people with type 2 diabetes mellitus (T2DM) using a path-analytic method. Methods: This cross-sectional study enrolled 496 individuals hospitalized due to T2DM. Well-trained investigators conducted face-to-face interviews with the participants using the Social Support Rating Scale, the Chinese version of Medical Coping Modes Questionnaire, the Hospital Anxiety and Depression scale, and the Mini Mental State Examination to measure social support (including objective support, subjective support, and support utilization), coping strategies (including confrontation, avoidance, and acceptance-resignation), depression/anxiety, and cognitive function, respectively. A path analysis was used to elucidate the linear associations between social support, coping strategies, depression, anxiety, and cognitive function. Results: In the final path model with satisfactory model fit, objective support was found to be associated with cognitive function not only directly but also indirectly through confrontation coping and depression, and acceptance-resignation coping and depression/anxiety. Further, subjective support was found to be associated with cognitive function indirectly through depression/anxiety, as well as serially through acceptance-resignation coping and depression/anxiety. Support utilization was found to be associated with cognitive function indirectly through confrontation coping and depression, as well as through acceptance-resignation coping and depression/anxiety. Conclusion Social support, coping strategies, depression, and anxiety were associated with cognitive function among people with T2DM, and these associations were best explained by a serial mediation model from social support, coping strategies, and depression and anxiety to cognitive function.

Objective To compare image quality of turbo spin echo(TSE)diffusion tensor imaging(DTI)and echo planar imaging(EPI)DTI for displaying temporal lobe radiation encephalopathy(REP).Methods Thirty nasopharyngeal carcinoma patients with suspected REP disease progression were prospectively enrolled.Subjective evaluation of image sharpness,susceptibility artifacts and deformation of TSE-DTI and EPI-DTI was performed using a 5-point scale,while objective evaluation aimed on the mean diffusion coefficient(MD),fractional anisotropic(FA),signal-to-noise ratio(SNR),contrast-to-noise ratio(CNR)and distortion ratio(DR)were carried on.Results The susceptibility artifacts and deformation scores of TSE-DTI were higher than that of EPI-DTI(P＜0.001).FA of REP edge and normal brain tissue were lower than those of EPI-DTI,with SNR and CNR higher than those of EPI-DTI(both P＜0.001).DR of REP lesions and bilateral temporal lobes were lower than those of EPI-DTI(all P＜0.001).Conclusion Compared with EPI-DTI,TSE-DTI could significantly improve image quality for displaying REP by reducing susceptibility artifacts and deformation of images.

Objective:To analyze the relationship between killer cell immunoglobulin-like receptor ( KIR) genes and immune reconstitution failure in human immunodeficiency virus infection/acquired immunodeficiency syndrome (HIV/AIDS) patients after anti-retroviral therapy (ART). Methods:HIV/AIDS patients receiving ART for ≥1 year who attended the AIDS outpatient clinics of Wuming Hospital of Guangxi Medical University and People′s Hospital of Mashan from May 2007 to December 2019 were included. Patients were divided into immune reconstitution failure group and full immune reconstitution group. Polymerase chain reaction with sequence specific primers (PCR-SSP) was used to detect KIR genotypes in all subjects, and the genotype frequency (PF) of 16 KIR genotypes was calculated. Statistical analysis was conducted using chi-square test. Multivariate logistic regression was used to analyze the relationship between KIR genotypes and immune reconstitution failure.Results:There were 102 patients with HIV/AIDS, including 44 immunological non-responders and 58 immunological responders. The PF of KIR2 DL5 in immune reconstitution failure group was 59.09%(26/44), which was higher than 36.21%(21/58) in full immune reconstitution group, and the difference was statistically significant ( χ2=5.27, P=0.022). Multivariate logistics regression analysis showed that KIR2 DL5 was associated with immune reconstitution failure when adjusted for age and baseline CD4 + T cell count. Positive expression of KIR2 DL5 may be a risk factor for immune reconstitution failure (adjusted odds ratio (a OR)=2.431, 95% confidence interval 1.012 to 5.844, P=0.047). Conclusions:Positive expression of KIR2 DL5 may be related to immune reconstitution failure in HIV/AIDS patients after ART.

Objective To explore the characteristics of opportunistic infections(OIs)in HIV-infected indi-viduals with suboptimal immune reconstitution after ART treatment so as to provide a reference for preventing and managing HIV infections.Methods The clinical data including opportunistic infections specifically were acquired from 112 HIV-infected individuals with suboptimal immune reconstitution from the outpatient department of Wuming Hospital,Guangxi Medical University.The impact of baseline CD4+T lymphocyte counts on the incidence,type,and mixed infection rates of the opportunistic infections were analyzed.Results The opportunistic infection rate among the 112 HIV-infected individuals with suboptimal immune reconstitution was 42.86%,among which fungal infections were the most commonly seen.The opportunistic infection rate of the patients with a baseline of CD4+T lymphocyte counts≤50/μL was significantly higher than that of the patients with a baseline of CD4+T lymphocyte counts>50/μL,and there was no significant difference in the type of opportunistic infections as well as the rate of mixed infections.Conclusion HIV-infected people with suboptimal immune reconstitution in Guangxi are susceptible to HIV OIs.Among them,the group with a baseline CD4+ T lymphocyte counts≤50/μL has a higher rate of OIs,mainly fungal infections.

Objective:Using the Taqman low-density array (TLDA) to develop a detection method which can rapidly type influenza A virus and the subtypes of H1-H16 and N1-N9, which is suitable for rapid typing and identification of influenza A in influenza like cases and avian influenza samples.Methods:The primers and probes of influenza A, H1-16 subtypes, N1-9 subtypes were designed and pre-customized on the TLDA reaction chip; Optimize the TLDA annealing temperature; The sensitivity of TLDA was evaluated by 10 fold gradient dilution of influenza A virus nucleic acid of various subtypes and the digital PCR; The specificity of the TLDA was verified by influenza B, adenovirus, respiratory syncytial virus and other respiratory viruses. At the same time, a variety of influenza A viruses that have been clearly typed were selected to evaluate the specificity and effectiveness of TLDA; The TLDA was used to detect 16 samples of influenza like cases and 24 samples of external environment of avian influenza.Results:The best annealing temperature of TLDA was 60 ℃, the detection sensitivity of TLDA was between 1.52 and 8.00 copies/μl for H1N1, H3N2, H5N6, H7N9 and H9N2, there was no specific cross reaction with influenza B, avian influenza, adenovirus, respiratory syncytial virus and other respiratory viruses. A total of 12 influenza positive samples and 24 samples from environmental surveillance of avian influenza were detected by TLDA, all of the result of samples were correct in typing.Conclusions:The high-throughput detection method of influenza A virus based on TLDA has good sensitivity and specificity, and the result of clinical samples show that the TLDA is suitable for rapid detection of influenza like cases and avian influenza samples, especially for rapid subtype screening and identification of new influenza A virus that cannot be identified by conventional commercial kits.

Nowadays, accumulating evidence indicates that long non-coding RNA (lncRNA) play vital roles in tumorigenesis. As a newly discovered lncRNA, FEZ family zinc finger 1-antisense RNA 1 (FEZF1-AS1) is markedly upregulated in various malignant tumors including non-small cell lung cancer (NSCLC). Aberrant expression of FEZF1-AS1 is related to clinical characteristics of patients with NSCLC and suggests poor prognosis. Moreover, FEZF1-AS1 can regulate numerous biological processes, such as cell proliferation, migration and invasion through different mechanisms. In this article, we systematically summarize the recent research progress of FEZF1-AS1 in NSCLC, which might be a novel target for clinical therapy.

Objective:To explore the associations between perceived built environment attributes and adults’ leisure-time physical activity in four cities of China.Methods:Multistage cluster random sampling method was used to select adults aged 25 to 64 in Hangzhou, Suzhou, Chengdu, and Qingdao. Data were collected from June 2017 to July 2018. The perception of the urban built environment was assessed by the neighborhood environment walkability scale-abbreviated (NEWS-A), and the physical activity was assessed by the International Physical Activity Questionnaire. Generalized linear mixed models were used to explore the relationship between the perceived built environment and leisure-time physical activities.Results:A total of 3 789 participants were included in the analysis. After adjusting for potential confounders, better access to public services ( OR=1.34, 95% CI: 1.02-1.75) and higher aesthetic quality ( OR=1.37, 95% CI: 1.09-1.73) were positively associated with the possibility of engaging in leisure-time physical activity in the past week. Similarly, these two attributes were positively associated with leisure-time walking. Higher scores on the perception of street connectivity were positively associated with leisure-time walking [ exp( β)=1.09, 95% CI: 1.00-1.19]. Higher residential density [ exp( β)=1.000 4, 95% CI:1.000 0-1.000 8], better access to physical activity destinations[ exp( β)=1.09, 95% CI: 1.00-1.19], and better aesthetics [ exp( β)=1.11, 95% CI:1.00-1.22] were associated with higher leisure-time physical activity. Similarly, these three attributes were positively associated with the possibility of meeting the WHO recommendations. Conclusion:Changing some urban built environment attributes may increase leisure-time physical activity.

Objective: To investigate the dynamic changes of copper and iron contents in brain tissue, body fluids and barriers of rats exposed to lead at different periods in order to provide a theoretical basis for the study of the mechanism of lead nerve injury. Methods: Sixty-four healthy adult SPF male SD rats were randomly divided into control group and lead exposure group, after one week of adaptive feeding, rats in the lead exposure group were treated with 250 mg/L lead acetate, and rats in control group were treated with ordinary drinking water, the experimental period was 12 weeks. After exposure for 3, 6, 9 and 12 weeks, the samples including blood, choroid plexus, cerebrospinal fluid, cortex, hippocampus, striatum, hypothalamus, amygdala, substantia nigra and cerebellum were obtained. Lead, copper and iron content in all kinds of samples were detected by Inductively Coupled Plasma Mass Spectrometry(ICP-MS). The measurement data were presented as Mean±SD, Comparison of metal contents in different tissues of rats at different time analyzed using repeated measurement analysis of variance, Two-variable correlation analysis using Spearman correlation test.The relationship between lead exposure experiod and copper and iron in samples was studied by using trend test. Results: After 12 weeks of lead exposure compared with the control group, lead contents in cortex, hippocampus, striatum, hypothalamus, amygdala, substantia nigra and cerebellum of rats were 2.21, 2.44, 2.95, 3.53, 4.01, 1.85 and 2.86 folds of control group, and the differences were statistically significant(P<0.05). At the same time, lead content in blood, cerebrospinal fluid,choroid plexus, brain microvessels and bones increased. The increase rate in the amygdala and cerebrospinal fluid ranked first among brain tissue or barrier,which were 4.01 and 3.0 folds respectively. Compared with the control group, Compared with the control group, copper content in cortex,hippocampus, striatum, hypothalamus,amygdala, cerebellum,blood,cerebrospinal fluid,choroid plexus and cerebral microvasculature showed an increasing trend among rats following 3,6,9,12 weeks of lead exposure. Copper content change in the striatum was highest among all brain tissue. The increase rate of copper content in the striatum was at the top among brain tissues. After 12 weeks of lead exposure,copper content in brain microvessels was 4.98 folds higher than that of the control group (P<0.05). After lead exposure at different periods,the iron content in the cortex, hippocampus, striatum,cerebrospinal fluid,choroid plexus and brain microvessels of experimental rats all increased(P<0.05). And the iron increase rate in the hypothalamus or cerebrospinal fluid increase ranked first among brain tissues or body fluid the most obviously. Conclusion With the increase of exposure time, lead exposure can changes in the contents of copper and iron in different brain tissues,body fluids and barriers in rats,among which, the contents of copper and iron in the amygdala,cerebrospinal fluid and brain microvessels increase significantly. This may be related to nerve damage from lead exposure.