Objective:To construct an estimating equation to accurately reflect the aging phenomenon of the glomerular filtration rate(GFR).Methods:Healthy subjects receiving physical examinations at the First Affiliated Hospital of Nanjing Medical University between January 2017 and April 2018 were included in the study, and the aging phenomenon of renal function indicators such as serum creatinine(Scr)was used as the reference standard to evaluate the accuracy of four Scr-based GFR equations during GFR aging, including the full age spectrum(FAS)equation, the Chronic Kidney Disease Epidemiology Collaboration(CKD-EPI)equation, the Osaka equation and the Xiangya equation.Results:Of 37 636 individuals receiving physical examinations, 6 534 met the criteria specified in this study.Scr, serum urea nitrogen, serum uric acid, and serum albumin showed a significant aging phenomenon( H=191.640, 196.693, 83.271, 414.585, P<0.001 for all).The GFR estimated by the four equations all decreased with aging, but the starting point and rate of decline were significantly different.The GFR aging phenomenon estimated by the FAS equation was closer to the trend of renal function indicators. Conclusions:The FAS equation may be more applicable to healthy people to understand the aging phenomenon of GFR.

Objective:To explore differences of resting brain regional homogeneity (ReHo) between patients with major depressive disorder (MDD) and their siblings.Methods:From January to December 2013, the resting-state functional magnetic resonance imaging (fMRI) data of 87 patients with MDD and 21 healthy siblings were collected.DPABI v5.1 software was used to preprocess the resting-state fMRI data, and ReHo maps of each subject was obtained. A two-sample t-test was used to compare differences between the patients with MDD and their siblings in ReHo values throughout the brain. ReHo values within the significant brain regions were extracted out, and used to calculate Spearman correlation with the total score of 17-items Hamilton depression rating scale(HAMD-17) in the patients with MDD and their siblings respectively.The software of SPSS 20.0 was used for statistical analysis. Results:The patients with MDD exhibited lower ReHo values in the precuneus extending to the posterior cingulate cortex (PCu/PCC) compared with their siblings (cluster-size=126 voxel, cluster-level PFDR=0.033; MNI: x=-4, y=-58, z=38, t=4.30). ReHo values of the PCu/PCC in patient with MDD were positively correlated with the severity of depressive symptoms ( r=0.255, P=0.021). Conclusion:Compared with the siblings, local brain activity of the PCu/PCC in the patients with MDD was decreased, and related to the severity of depressive symptoms. It is helpful to further reveal the intrinsic neural mechanism of MDD.

As an important part of tumor microenvironment, neutrophils are poorly understood due to their spatiotemporal heterogeneity in tumorigenesis. Here we defined, at single-cell resolution, CD44-CXCR2- neutrophils as tumor-specific neutrophils (tsNeus) in both mouse and human gastric cancer (GC). We uncovered a Hippo regulon in neutrophils with unique YAP signature genes (e.g., ICAM1, CD14, EGR1) distinct from those identified in epithelial and/or cancer cells. Importantly, knockout of YAP/TAZ in neutrophils impaired their differentiation into CD54+ tsNeus and reduced their antitumor activity, leading to accelerated GC progression. Moreover, the relative amounts of CD54+ tsNeus were found to be negatively associated with GC progression and positively associated with patient survival. Interestingly, GC patients receiving neoadjuvant chemotherapy had increased numbers of CD54+ tsNeus. Furthermore, pharmacologically enhancing YAP activity selectively activated neutrophils to suppress refractory GC, with no significant inflammation-related side effects. Thus, our work characterized tumor-specific neutrophils in GC and revealed an essential role of YAP/TAZ-CD54 axis in tsNeus, opening a new possibility to develop neutrophil-based antitumor therapeutics.
Humans ; Animals ; Mice ; Adaptor Proteins, Signal Transducing/metabolism* ; Transcription Factors/metabolism* ; Stomach Neoplasms/pathology* ; Neutrophils/pathology* ; Signal Transduction/genetics* ; YAP-Signaling Proteins ; Tumor Microenvironment ; Hyaluronan Receptors/genetics*

The research on clinical high-risk for psychosis is a hotspot in recent years, which is helpful to the early identification and early intervention of psychosis. White matter fibers are the important structural basis of complex information transmission function among brain regions. The existing literatures show that there are abnormal white matter microstructures in individuals at clinical high-risk for psychosis, which is related to their clinical symptoms and social function. Diffusion tensor imaging is the only non-invasive technique to study the microstructure of brain white matter. This paper reviews the existing evidences of microstructural abnormalities of white matter at clinical high-risk for psychosis by diffusion tensor imaging, in order to comprehensively analyze the potential neurobiomarkers in the early stage of the disease and the pathological evolution characteristics in the development of the disease.

Objective:To summarize the evidence of non-pharmacological management of osteoporosis in prostate cancer patients receiving androgen deprivation therapy (ADT) .Methods:The Chinese and English literature databases were searched by computer to select the literature on the non-pharmacological management of osteoporosis in prostate cancer patients with ADT. The retrieval time limit was from the establishment of the database to January 10, 2022. The included articles were summarized after quality evaluation.Results:A total of 9 articles were included, involving 3 expert consensus, 4 systematic reviews, 1 best clinical practice and 1 randomized controlled trial. A total of 35 pieces of evidence were extracted and summarized into 6 categories including risk assessment, nutrition support, exercise, health education, follow-up and monitoring, and remote intervention.Conclusions:This study can provide evidence basis for clinical practice of non-pharmacological management of osteoporosis in prostate cancer patients with ADT. However, the evidence transformation should be flexibly applied in combination with the medical background of our country and the individual conditions of patients.

Objective:To explore the current status and the influencing factors of knowledge, attitude and behavior of radiodermatitis in patients with nasopharyngeal carcinoma undergoing radiotherapy, so as to provide a scientific basis for nursing staff to formulate effective health education programs.Methods:A self-designed questionnaire was used to investigate 220 radiotherapy patients with nasopharyngeal carcinoma in the radiotherapy department of 4 tertiary A hospitals in Hunan Province.Results:The scores of knowledge, attitude, and behavior of radiodermatitis patients with nasopharyngeal carcinoma were (61.58±19.93), (75.70 ±15.64), (65.87±14.21) points, respectively. The main factors influencing of behavior are knowledge, attitude, radiodermatitis grade, radiotherapy frequency, and family personal monthly income level ( t values were 1.978-8.081, P<0.05). Conclusion:At present, patients with nasopharyngeal carcinoma undergoing radiotherapy have a partial understanding of radiodermatitis and poor self-observation of radiodermatitis. Nursing staff should pay special attention to the patients with incomplete knowledge, negative attitudes, low family personal monthly income, low frequency of radiotherapy, and low grade of radiodermatitis.

Objective:To establish an early prediction model for bloodstream infection in patients with extremely severe burns based on the screened independent risk factors of the infection, and to analyze its predictive value.Methods:A retrospective case-control study was conducted. From January 1, 2010 to December 31, 2019, 307 patients with extremely severe burns were admitted to the Department of Burns and Plastic Surgery of Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medcine, including 251 males and 56 females, aged from 33 to 55 years. According to the occurrence of bloodstream infection, the patients were divided into non-bloodstream infection group (221 cases) and bloodstream infection group (86 cases). The gender, age, body mass index, outcome, length of hospital stay of patients were compared between the two groups, and the detection of bacteria in blood microbial culture of patients was analyzed in bloodstream infection group. The included 307 patients were divided into modeling group (219 cases) and validation group (88 cases) according to the random number table with a ratio of about 7∶3. The gender, age, body mass index, total burn area, full-thickness burn area, combination of inhalation injury, implementation of mechanical ventilation, days of mechanical ventilation, days of intensive care unit (ICU) stay, outcome, length of hospital stay, complication of bloodstream infection of patients were compared between the two groups. According to the occurrence of bloodstream infection, the patients in modeling group were divided into bloodstream infection subgroup (154 cases) and non-bloodstream infection subgroup (165 cases). The total burn area, full-thickness burn area, combination of inhalation injury, implementation of mechanical ventilation, days of mechanical ventilation, and days of ICU stay of patients were compared between the two subgroups. The above-mentioned data between two groups were statistically analyzed with one-way analysis of independent sample t test, chi-square test, and Mann-Whitney U test to screen out the factors with statistically significant differences in the subgroup univariate analysis of modeling group. The factors were used as variables, and binary multivariate logistic regression analysis was performed to screen out the independent risk factors of bloodstream infection in patients with extremely severe burns, based on which the prediction model for bloodstream infection in patients with extremely severe burns of modeling group was established. The receiver operating characteristic (ROC) curve of the prediction model predicting the risk of bloodstream infection of patients in modeling group was drawn, and the area under the ROC curve was calculated. The sensitivity, specificity, and the best prediction probability were calculated according to the Youden index. According to the occurrence of bloodstream infection, the patients in validation group were divided into bloodstream infection subgroup (21 cases) and non-bloodstream infection subgroup (67 cases). The prediction probability >the best prediction probability of model was used as the judgment standard of bloodstream infection. The prediction model was used to predict the occurrence of bloodstream infection of patients in the two subgroups of validation group, and the incidence, specificity, and sensitivity for predicting bloodstream infection were calculated. In addition, the ROC curve of the prediction model predicting the risk of bloodstream infection of patients in validation group was drawn, and the area under the ROC curve was calculated. Results:Compared with those of non-bloodstream infection group, the mortality of patients in bloodstream infection group was significantly higher ( χ2=8.485, P<0.01), the length of hospital stay was significantly increased ( Z=-3.003, P<0.01), but there was no significant change in gender, age, or body mass index ( P>0.05). In patients of bloodstream infection group, 110 strains of bacteria were detected in blood microbial culture, among which Klebsiella pneumoniae, Pseudomonas aeruginosa, and Acinetobacter baumannii were the top three bacteria, accounting for 35.45% (39/110), 26.36% (29/110), and 13.64% (15/110), respectively. Gender, age, body mass index, total burn area, full-thickness burn area, proportion of combination of inhalation injury, proportion of implementation of mechanical ventilation, days of mechanical ventilation, days of ICU stay, outcome, length of hospital stay, and proportion of complication of bloodstream infection of patients were similar between modeling group and validation group ( P>0.05). Compared with those of non-bloodstream infection subgroup in modeling group, the total burn area, full-thickness burn area, proportion of combination of inhalation injury, proportion of implementation of mechanical ventilation, days of mechanical ventilation, and days of ICU stay of patients in bloodstream infection subgroup were significantly increased ( Z=-4.429, t=-4.045, χ2=7.845, 8.845, Z=-3.904, -4.134, P<0.01). Binary multivariate logistic regression analysis showed that total burn area, days of ICU stay, and combination of inhalation injury were the independent risk factors for bloodstream infection of patients in modeling group (odds ratio=1.031, 1.018, 2.871, 95% confidence interval=1.004-1.059, 1.006-1.030, 1.345-6.128, P<0.05 or P<0.01). In modeling group, the area under the ROC curve was 0.773 (95% confidence interval=0.708-0.838); the sensitivity was 64.6%, the specificity was 77.9%, and the best prediction probability was 0.335 when the Youden index was 0.425. The bloodstream infection incidence of patients predicted by the prediction model in validation group was 27.27% (24/88), with specificity of 82.09% (55/67) and sensitivity of 57.14% (12/21). The area under the ROC curve in validation group was 0.759 (95% confidence interval=0.637-0.882). Conclusions:The total burn area, days of ICU stay, and combination of inhalation injury are the risk factors of bloodstream infection in patients with extremely severe burns. The early prediction model for bloodstream infection risk in patients with extremely severe burns based on these factors has certain predictive value for burn centers with relatively stable treatment methods and bacterial epidemiology.

In December 2019, COVID-19 broke out in Wuhan, China. The disease is highly contagious and quickly spreads at home and abroad, causing great concern. However, there are no definite effective antiviral drugs in clinic. Given the urgency of the COVID-19 outbreak, based on the diagnosis and treatment recommendation and previous researches, this review describes the optional antiviral drugs such as remdesivir, oseltamivir, Arbidol, lopinavir/ritonavir, ribavirin, and interferon-α to provide a reference for the infection therapy.

In December 2019, the endemic of COVID-19 broke out in Wuhan, China. The disease is highly contagious and quickly spreads at home and abroad, causing great concern. However, there are no definite effective antiviral drugs in clinical use. Given the urgency of the COVID-19 outbreak, based on the diagnosis and treatment recommendation and relavant researches, this article describes the optional antiviral drugs such as remdesivir, oseltamivir, arbidol, lopinavir/ritonavir, ribavirin, and interferon-α to provide a reference for treatment of COVID-19.

Bipolar disorder is a chronic and severe mental disease, but its pathogenesis is still unknown.The disease is easy to relapse, and the cure rate is not ideal. The intestinal flora plays an important role in maintaining human health and regulating human function. The change of intestinal flora in human can directly or indirectly lead to the occurrence of a variety of diseases. And more and more studies have found that the intestinal flora of patients with many kinds of mental diseases and some of patients with physical diseases has obvious changes. Therefore, the in-depth study of brain-gut-flora axis has become a hot direction to explore the objective markers and pathogenesis of mental diseases. In this paper, the research progress of the relationship between intestinal microflora and bipolar disorder in recent years is reviewed. The changes of intestinal microflora in brain-gut-flora axis, bipolar disorder, the possible biological mechanism of bipolar disorder caused by intestinal microflora and the new discovery of treatment of bipolar disorder are discussed, which provides reference for further research and effective diagnosis and treatment of bipolar disorder biomarkers.