1.Analysis of the status and influencing factors of self-advocacy rights of female cancer survivors
Nannan WANG ; Yue QIAO ; Yuan WU ; Huichao ZHANG ; Yuxi ZHANG
Chinese Journal of Practical Nursing 2022;38(32):2512-2517
Objective:To understand the current situation of female cancer survivors′ self-advocacy and analyze its influencing factors.Methods:Convenience sampling was used. From August to November 2021, 243 female cancer survivors from 10 tertiary A hospitals in Jiangsu Province were selected as the research objects. The general information questionnaire and the Female Self-Advocacy in Cancer Survivorship (FSACS)were used for the survey. Multiple stepwise linear regression was used to analyze the influencing factors of female cancer survivors′ self-advocacy rights.Results:The self-advocacy score of this group of female cancer survivors was (82.42±10.42); the results of multiple stepwise linear regression analysis showed that education level was an influencing factor for female cancer survivors′self-advocacy ( P<0.05), but age, marital status, number of children, work status, family monthly income, reimbursement method, illness time, disease diagnosis, and disease stage had nothing to do with female cancer survivors′ self-advocacy( P>0.05). Conclusions:Female cancer survivors′ self-advocacy is affected by their educational level.It is recommended that medical staff pay attention to patients with low education level, provide personalized guidance according to their conditions, and encourage them to actively obtain external information, seek effective communication and external support, so as to improve Self-advocacy ability.
2.Advancement of research on ferroptosis in acute kidney injury
Yuxi QIAO ; Bo WANG ; Wujun XUE ; Chenguang DING
Organ Transplantation 2020;11(6):671-
Acute kidney injury (AKI) is often associated with organ donation and renal transplantation, which leads to an increase of fatality rate, hospitalization time and hospitalization costs. In recent years, studies have shown that ferroptosis is closely related to AKI, but the exact molecular biological mechanism has not been clarified, which need more research. In this article, the role of ferroptosis in AKI was reviewed from the aspects of ferroptosis related biomarkers and biological reactions, in order to find a new possible direction for the prevention and treatmentof AKI.
3.Prognostic utility of LifePort parameters plus perfusate biomarkers during deceased donor kidney transplantation
Yuxi QIAO ; Yang LI ; Jin ZHENG ; Heli XIANG ; Xiaoming DING ; Puxun TIAN ; Wujun XUE ; Chenguang DING
Chinese Journal of Organ Transplantation 2021;42(9):513-517
Objective:To explore the prognostic utility of LifePort perfusion parameters plus perfusate biomarkers for predicting delayed graft function(DGF)and recovery time during deceased donor kidney transplantation(KT).Methods:From January 1, 2019 to August 31, 2019, retrospective analysis was performed for clinical data of 113 KT recipients. Based upon whether or not DGF occurred within 3 months, they were divided into two groups of DGF group(20 cases)and non-DGF (93 cases). Two groups were compared using LifePort perfusion parameters, biomarker concentrations, incidence of DGF and kidney recovery time. Statistical analysis was performed.Results:The incidence of DGF was 17.7%(20/113); Multivariate Logistic regression results indicated that terminal resistance(OR 1.879, 95% CI 1.145~3.56)and glutathione S-transferase(GST)(OR 1.62, 95% CI 1.23~2.46)were independent risk factors for DGF; Cox hazard model revealed that terminal resistance was a risk factor for recovery time of renal function(HR=0.823, 95% CI 0.735~0.981). The model combining terminal resistance and GST(AUC=0.888, 95% CI 0.842~0.933)significantly improved the predictive efficacy for DGF as compared with using terminal resistance(AUC=0.756, 95% CI 0.693~0.818)or GST alone(AUC=0.729, 95% CI 0.591~0.806).Conclusions:Combining LifePort perfusion parameters and fluid biomarkers can improve the predictive utility of DGF.
4.Effects of SSRI Antidepressants on Attentional Bias toward Emotional Scenes in First-Episode Depressive Patients: Evidence from an Eye-Tracking Study
Lei ZHANG ; Fengqiong YU ; Qian HU ; Yuxi QIAO ; Rongrong XUAN ; Gongjun JI ; Chunyan ZHU ; Chunlan CAI ; Kai WANG
Psychiatry Investigation 2020;17(9):871-879
Objective:
Attentional biases toward emotional scenes may represent vulnerability and maintenance factors in depression. Antidepressant therapy may improve cognitive function and reduce depression, and is considered as the mechanism of action of antidepressants. Therefore, we conducted an eye-tracking test to examine whether selective serotonin re-uptake inhibitor (SSRI) antidepressants can reduce negative attentional biases and elicit clinical responses in depression.
Methods:
Twenty first-episode depressive patients freely viewed three types of pictures that depicted different emotional scenes (i.e., positive-control, neutral-control, and negative-control) for 4,000 ms while their eye movements were monitored. The attentional bias to different emotional scenes was assessed before and after eight weeks of SSRI treatment using the eye-tracking method. The control group included a group of healthy individuals.
Results:
The results revealed that first-episode depressive patients oriented their gaze more frequently to negative images and less to happy images, compared to controls. Importantly, the attentional bias in depressive patients was regulated after eight weeks of SSRI treatment. Patients showed an increased tendency to fixate on positive images and a decreased tendency to focus on negative images.
Conclusion
This suggests that SSRI antidepressants decrease vulnerability to negative images, while having an effect on attention in respect to positive images.
5.The efficiency study on different scoring models in predicting delayed graft function after renal transplantation
Yuxi QIAO ; Chenguang DING ; Puxun TIAN ; Xiaoming DING ; Xiaoming PAN ; Hang YAN ; Heli XIANG ; Xinshun FENG ; Jun HOU ; Xiaohui TIAN ; Yang LI ; Jin ZHENG ; Wujun XUE
Organ Transplantation 2020;11(3):379-
Objective To analyze the prediction efficiency of scoring models at home and abroad on delayed graft function (DGF) after renal transplantation in China. Methods The clinical data of 112 donors and 220 recipients undergoing renal transplantation were prospectively analyzed. The DGF predicted by KDRI model, Jeldres model, and model of our center was compared with actual DGF incidence of renal transplant recipients. The prediction efficiency of each model was analyzed. The predictive accuracy was compared by the area under curve (AUC) of receiver operating characteristic (ROC) curve. Results The DGF incidence of 220 renal transplant recipients was 14.1% (31/220). DGF prediction using KDRI model showed that 41 cases were high risk donors, the AUC was 0.57, the sensitivity was 0.37, the specificity was 0.66, and the positive predictive value was 22%. DGF prediction using Jedres model showed that 22 cases were high risk recipients, the AUC was 0.56, the sensitivity was 0.13, the specificity was 0.92 and the positive predictive value was 20%. DGF prediction using the model of our center showed that 25 cases were high risk donors, the AUC was 0.80, the sensitivity was 0.53, the specificity was 0.84, the positive predictive value was 40%. Conclusions Compared with the KDRI and Jedres models, the prediction model of our center has higher AUC and sensitivity with a better prediction efficiency on DGF. Therefore, it is a suitable evaluation system of donors from donation after citizen's death in Chinese.
6.Licorice-saponin A3 is a broad-spectrum inhibitor for COVID-19 by targeting viral spike and anti-inflammation
Yang YI ; Wenzhe LI ; Kefang LIU ; Heng XUE ; Rong YU ; Meng ZHANG ; Yang-Oujie BAO ; Xinyuan LAI ; Jingjing FAN ; Yuxi HUANG ; Jing WANG ; Xiaomeng SHI ; Junhua LI ; Hongping WEI ; Kuanhui XIANG ; Linjie LI ; Rong ZHANG ; Xin ZHAO ; Xue QIAO ; Hang YANG ; Min YE
Journal of Pharmaceutical Analysis 2024;14(1):115-127
Currently,human health due to corona virus disease 2019(COVID-19)pandemic has been seriously threatened.The coronavirus severe acute respiratory syndrome coronavirus 2(SARS-CoV-2)spike(S)protein plays a crucial role in virus transmission and several S-based therapeutic approaches have been approved for the treatment of COVID-19.However,the efficacy is compromised by the SARS-CoV-2 evolvement and mutation.Here we report the SARS-CoV-2 S protein receptor-binding domain(RBD)inhibitor licorice-saponin A3(A3)could widely inhibit RBD of SARS-CoV-2 variants,including Beta,Delta,and Omicron BA.1,XBB and BQ1.1.Furthermore,A3 could potently inhibit SARS-CoV-2 Omicron virus in Vero E6 cells,with EC50 of 1.016 pM.The mechanism was related to binding with Y453 of RBD deter-mined by hydrogen-deuterium exchange mass spectrometry(HDX-MS)analysis combined with quan-tum mechanics/molecular mechanics(QM/MM)simulations.Interestingly,phosphoproteomics analysis and multi fluorescent immunohistochemistry(mIHC)respectively indicated that A3 also inhibits host inflammation by directly modulating the JNK and p38 mitogen-activated protein kinase(MAPK)path-ways and rebalancing the corresponding immune dysregulation.This work supports A3 as a promising broad-spectrum small molecule drug candidate for COVID-19.
7.Investigation on influenza vaccination policy and vaccination situation during the influenza seasons of 2020-2021 and 2021-2022 in China.
Hong Ting ZHAO ; Zhi Bin PENG ; Zhao Lin NI ; Xiao Kun YANG ; Qiao Yun GUO ; Jian Dong ZHENG ; Ying QIN ; Yan Ping ZHANG
Chinese Journal of Preventive Medicine 2022;56(11):1560-1564
Objective: To investigate the policies and coverage of influenza vaccine during the influenza epidemic seasons of 2020-2021 and 2021-2022 in China. Methods: The national influenza vaccination policy and vaccination rate were investigated in counties and districts and described in the two epidemic seasons. Results: In the epidemic seasons of 2020-2021 and 2021-2022, the vaccination coverage of influenza in China was 3.16% and 2.47%, respectively. The free vaccination policy had the highest vaccination coverage (51.75% and 38.32%), followed by the medical insurance reimbursement policy (9.74% and 7.36%). During the epidemic season of 2021-2022, the number of counties and districts implementing the free vaccination policy in China decreased 61 compared with the previous year, but the number of people covered increased by 51.29%. However, the vaccination coverage of the vast population decreased significantly, with the medical staff (75.69% and 40.15% for two epidemic seasons), preschool children (58.86% and 26.15%), and the elderly (45.71% and 32.94%). During the epidemic season of 2021-2022, the number of counties and districts implementing the medical insurance reimbursement policy increased by 6 compared with the previous year, and the number of people covered increased by 11.12%, but the vaccination coverage decreased. Conclusion: The influenza vaccination rate in China is low, and the implementation of cost preferential policy can greatly improve the influenza vaccination rate.
Child, Preschool
;
Humans
;
Aged
;
Influenza, Human/prevention & control*
;
Seasons
;
Influenza Vaccines
;
Vaccination
;
China/epidemiology*
;
Policy
8.Predictive value of hypothermic machine perfusion parameters combined perfusate biomarkers in deceased donor kidney transplantation.
Yuxi QIAO ; Chenguang DING ; Yang LI ; Xiaohui TIAN ; Puxun TIAN ; Xiaoming DING ; Heli XIANG ; Jin ZHENG ; Wujun XUE
Chinese Medical Journal 2021;135(2):181-186
BACKGROUND:
Delayed graft function (DGF) is the main cause of renal function failure after kidney transplantation. This study aims at investigating the value of hypothermic machine perfusion (HMP) parameters combined with perfusate biomarkers on predicting DGF and the time of renal function recovery after deceased donor (DD) kidney transplantation.
METHODS:
HMP parameters, perfusate biomarkers and baseline characteristics of 113 DD kidney transplantations from January 1, 2019 to August 31, 2019 in the First Affiliated Hospital of Xi'an Jiaotong University were retrospectively analyzed using univariate and multivariate logistic regression analysis.
RESULTS:
In this study, the DGF incidence was 17.7% (20/113); The multivariate logistic regression results showed that terminal resistance (OR: 1.879, 95% CI 1.145-3.56) and glutathione S-transferase (GST)(OR = 1.62, 95% CI 1.23-2.46) were risk factors for DGF; The Cox model analysis indicated that terminal resistance was an independent hazard factor for renal function recovery time (HR = 0.823, 95% CI 0.735-0.981). The model combining terminal resistance and GST (AUC = 0.888, 95% CI: 0.842-0.933) significantly improved the DGF predictability compared with the use of terminal resistance (AUC = 0.756, 95% CI 0.693-0.818) or GST alone (AUC = 0.729, 95% CI 0.591-0.806).
CONCLUSION
According to the factors analyzed in this study, the combination of HMP parameters and perfusate biomarkers displays a potent DGF predictive value.
Biomarkers
;
Delayed Graft Function
;
Graft Survival
;
Humans
;
Kidney/physiology*
;
Kidney Transplantation/adverse effects*
;
Organ Preservation
;
Perfusion
;
Retrospective Studies
;
Tissue Donors
9.Genetic background of idiopathic neurodevelopmental delay patients with significant brain deviation volume.
Xiang CHEN ; Yuxi CHEN ; Kai YAN ; Huiyao CHEN ; Qian QIN ; Lin YANG ; Bo LIU ; Guoqiang CHENG ; Yun CAO ; Bingbing WU ; Xinran DONG ; Zhongwei QIAO ; Wenhao ZHOU
Chinese Medical Journal 2023;136(7):807-814
BACKGROUND:
Significant brain volume deviation is an essential phenotype in children with neurodevelopmental delay (NDD), but its genetic basis has not been fully characterized. This study attempted to analyze the genetic factors associated with significant whole-brain deviation volume (WBDV).
METHODS:
We established a reference curve based on 4222 subjects ranging in age from the first postnatal day to 18 years. We recruited only NDD patients without acquired etiologies or positive genetic results. Cranial magnetic resonance imaging (MRI) and clinical exome sequencing (2742 genes) data were acquired. A genetic burden test was performed, and the results were compared between patients with and without significant WBDV. Literature review analyses and BrainSpan analysis based on the human brain developmental transcriptome were performed to detect the potential role of genetic risk factors in human brain development.
RESULTS:
We recruited a total of 253 NDD patients. Among them, 26 had significantly decreased WBDV (<-2 standard deviations [SDs]), and 14 had significantly increased WBDV (>+2 SDs). NDD patients with significant WBDV had higher rates of motor development delay (49.8% [106/213] vs . 75.0% [30/40], P = 0.003) than patients without significant WBDV. Genetic burden analyses found 30 genes with an increased allele frequency of rare variants in patients with significant WBDV. Analyses of the literature further demonstrated that these genes were not randomly identified: burden genes were more related to the brain development than background genes ( P = 1.656e -9 ). In seven human brain regions related to motor development, we observed burden genes had higher expression before 37-week gestational age than postnatal stages. Functional analyses found that burden genes were enriched in embryonic brain development, with positive regulation of synaptic growth at the neuromuscular junction, positive regulation of deoxyribonucleic acid templated transcription, and response to hormone, and these genes were shown to be expressed in neural progenitors. Based on single cell sequencing analyses, we found TUBB2B gene had elevated expression levels in neural progenitor cells, interneuron, and excitatory neuron and SOX15 had high expression in interneuron and excitatory neuron.
CONCLUSION
Idiopathic NDD patients with significant brain volume changes detected by MRI had an increased prevalence of motor development delay, which could be explained by the genetic differences characterized herein.
Child
;
Humans
;
Neurodevelopmental Disorders/epidemiology*
;
Genetic Testing
;
Phenotype
;
Brain/pathology*
;
Genetic Background
;
SOX Transcription Factors/genetics*