Impacts of androgen deprivation therapy on the risks and outcomes of SARS-CoV-2 infection in patients with prostate cancer / 亚洲男科学杂志(英文版)

Studies have investigated the effects of androgen deprivation therapy (ADT) use on the incidence and clinical outcomes of coronavirus disease 2019 (COVID-19); however, the results have been inconsistent. We searched the PubMed, Medline, Cochrane, Scopus, and Web of Science databases from inception to March 2022; 13 studies covering 84 003 prostate cancer (PCa) patients with or without ADT met the eligibility criteria and were included in the meta-analysis. We calculated the pooled risk ratios (RRs) with 95% confidence intervals (CIs) to explore the association between ADT use and the infection risk of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and severity of COVID-19. After synthesizing the evidence, the pooled RR in the SARS-CoV-2 positive group was equal to 1.17, and the SARS-CoV-2 positive risk in PCa patients using ADT was not significantly different from that in those not using ADT (P = 0.544). Moreover, no significant results concerning the beneficial effect of ADT on the rate of intensive care unit admission (RR = 1.04, P = 0.872) or death risk (RR = 1.23, P = 0.53) were found. However, PCa patients with a history of ADT use had a markedly higher COVID-19 hospitalization rate (RR = 1.31, P = 0.015) than those with no history of ADT use. These findings indicate that ADT use by PCa patients is associated with a high risk of hospitalization during infection with SARS-CoV-2. A large number of high quality studies are needed to confirm these results.

A spatial-temporal hybrid feature extraction method for rapid serial visual presentation of electroencephalogram signals / 生物医学工程学杂志

Rapid serial visual presentation-brain computer interface (RSVP-BCI) is the most popular technology in the early discover task based on human brain. This algorithm can obtain the rapid perception of the environment by human brain. Decoding brain state based on single-trial of multichannel electroencephalogram (EEG) recording remains a challenge due to the low signal-to-noise ratio (SNR) and nonstationary. To solve the problem of low classification accuracy of single-trial in RSVP-BCI, this paper presents a new feature extraction algorithm which uses principal component analysis (PCA) and common spatial pattern (CSP) algorithm separately in spatial domain and time domain, creating a spatial-temporal hybrid CSP-PCA (STHCP) algorithm. By maximizing the discrimination distance between target and non-target, the feature dimensionality was reduced effectively. The area under the curve (AUC) of STHCP algorithm is higher than that of the three benchmark algorithms (SWFP, CSP and PCA) by 17.9%, 22.2% and 29.2%, respectively. STHCP algorithm provides a new method for target detection.

Dental stem cell-derived extracellular vesicles as promising therapeutic agents in the treatment of diseases / 国际口腔科学杂志·英文版

Dental stem cells (DSCs), an important source of mesenchymal stem cells (MSCs), can be easily obtained by minimally invasive procedures and have been used for the treatment of various diseases. Classic paradigm attributed the mechanism of their therapeutic action to direct cell differentiation after targeted migration, while contemporary insights into indirect paracrine effect opened new avenues for the mystery of their actual low engraftment and differentiation ability in vivo. As critical paracrine effectors, DSC-derived extracellular vesicles (DSC-EVs) are being increasingly linked to the positive effects of DSCs by an evolving body of in vivo studies. Carrying bioactive contents and presenting therapeutic potential in certain diseases, DSC-EVs have been introduced as promising treatments. Here, we systematically review the latest in vivo evidence that supports the therapeutic effects of DSC-EVs with mechanistic studies. In addition, current challenges and future directions for the clinical translation of DSC-EVs are also highlighted to call for more attentions to the (I) distinguishing features of DSC-EVs compared with other types of MSC-EVs, (II) heterogeneity among different subtypes of DSC-derived EVs, (III) action modes of DSC-EVs, (IV) standardization for eligible DSC-EVs and (V) safety guarantee for the clinical application of DSC-EVs. The present review would provide valuable insights into the emerging opportunities of DSC-EVs in future clinical applications.

Analysis of imagery motor effective networks based on dynamic partial directed coherence / 生物医学工程学杂志

The research on brain functional mechanism and cognitive status based on brain network has the vital significance. According to a time-frequency method, partial directed coherence (PDC), for measuring directional interactions over time and frequency from scalp-recorded electroencephalogram (EEG) signals, this paper proposed dynamic PDC (dPDC) method to model the brain network for motor imagery. The parameters attributes (out-degree, in-degree, clustering coefficient and eccentricity) of effective network for 9 subjects were calculated based on dataset from BCI competitions IV in 2008, and then the interaction between different locations for the network character and significance of motor imagery was analyzed. The clustering coefficients for both groups were higher than those of the random network and the path length was close to that of random network. These experimental results show that the effective network has a small world property. The analysis of the network parameter attributes for the left and right hands verified that there was a significant difference on ROI2 ( = 0.007) and ROI3 ( = 0.002) regions for out-degree. The information flows of effective network based dPDC algorithm among different brain regions illustrated the active regions for motor imagery mainly located in fronto-central regions (ROI2 and ROI3) and parieto-occipital regions (ROI5 and ROI6). Therefore, the effective network based dPDC algorithm can be effective to reflect the change of imagery motor, and can be used as a practical index to research neural mechanisms.

Effect of Serum Free Light Chain on Renal Function and Prognosis in Patients with Newly Diagnosed Multiple Myeloma / 中国实验血液学杂志

OBJECTIVE@#To analyze the effect of serum free light chain (sFLC) on renal function and prognosis in patients with newly diagnosed multiple myeloma (MM).@*METHODS@#The clinical data of 70 newly diagnosed MM patients who received sFLC examination in Fujian Medical University Union Hospital were retrospectively analyzed from April 2012 to November 2016. Univariate analysis was used to analyze the risk factors that associated with renal impairment (RI) and prognosis. Logistic regression and Kaplan-Meier analyze were used to analyze the roles of sFLC in RI and the prognosis.@*RESULTS@#Out of the 70 patients, 20 patients had RI at the initial diagnosis. Compared to normal renal function group, RI group had lower level of hemoglobin, elevated levels of serum uric acid, corrected calcium, serum creatinine, serum β2 microglobulin, and involved sFLC, higher proportion of patients with ISS stage III, involved sFLC≥500 mg/L, hemodialysis (all P＜0.05). Multivariate logistic regression analysis showed that serum uric acid≥430 μmol/L, ISS stage III and a involved sFLC≥500 mg/L were all the independent risk factors for RI in patients with newly diagnosed MM patients (all P＜0.05). Receiver operating characteristic (ROC) curves analysis showed that the involved sFLC was 705.0 mg/L, which was a best cut-off value area under curve (AUC) for prediting RI in patients with MM was 0.727 (P=0.003), sensitivity was 65.0% and specificity was 82.0%). After a median follow-up period of 31 (1-84) months, the median overall survival (OS) of patients with involved sFLC≥500mg/L and involved sFLC＜500 mg/L were 52.0 and 27.0 months, respectively, there was no statistically significant difference (P=0.137). There was also no statistically significant difference in median OS between the high sFLC ratio group (κ/λ＞32 or ＜0.03) and the low sFLC ratio group (0.03≤κ/λ≤32) (27 months vs 40 months, P=0.436).@*CONCLUSION@#The involved sFLC in the RI group is significantly higher than that in the normal renal function group in newly diagnosed MM patients. Serum uric acid≥430 μmol/L, ISS stage III and involved sFLC≥500 mg/L are the independent risk factors for RI. Monitoring sFLC in newly diagnosed MM patients is helpful to the prediction of RI, and the involved sFLC level or sFLC ratio may not affect the prognosis of newly diagnosed MM patients.

Study on relieving effects of exogenous SNP, Spd on Belamcanda chinensis under salt-alkalline stress / 中国中药杂志

The study is aimed to provide the theoretical basis for exploiting and utilization of salt-alkaline soil and cultivating Belamcanda chinensis. In this study, we exerted exogenous substances SNP, Spd to relieve the damage of the mixing salt-alkaline stress on B. chinensis seedling which is NaCl, Na2SO4, NaHCO3 and Na2CO3 four kinds of salt molar ratio of 9: 1: 9: 1, salt concentration of 100 mmol x L(-1). The result illustrated that high pH stress is a major factor caused the salt-alkaline stress, the interaction between time and the concentration of each, treatment was observed, what is more, there are synergies between the salt and alkali stress. The content of B. chinensis seedling leaves' membrane peroxidation index (MDA, O2-*) and metabolites (soluble protein, soluble sugars, organic acids) are showing an upward trend in varying degrees under 100 mmol x L(-1) salt-alkaline stress. It is effective to reduce the content of MDA and O2-*. and improve the levels of metabolites, in which the SNP (0.05 mmol x L(-1)) and Spd (0.5 mmol x L(-1)) to alleviate damage effects is the best. Therefore we can hold the conclusion that SNP and Spd can effectively mitigate the damage of B. chinensis seedling on salt-alkaline stress, improve the resistance ability of B. chinensis seedling which can provide the scientific basis for the utilization of salt-alkaline soil, and the cultivation of B. chinensis.