B cell subsets were associated with prognosis in elderly patients with community acquired pneumonia.

BACKGROUND: The role of B cell subsets remained to be elucidated in a variety of immune diseases, though which was used as an effective biomarker for anti-inflammatory or antiviral response. This study aimed to evaluate the early changes of B cell subtypes distribution in elderly patients with community acquired pneumonia (CAP), as well as the association between B cell subtypes and prognosis. METHODS: This prospective study included elderly patients with CAP, severe CAP (sCAP) and healthy elderly subjects between April 2016 and March 2018. Flow cytometry was used to detect CD3, CD20, HLA-DR, CD24, CD27, CD38, IgM, and IgD. CD20+ B cells were further divided into naïve B cells (Bn), IgM/D+ memory B cells (IgM+ Bm), switched B cells (SwB), and transitional B cells (Btr). RESULTS: A total of 22 healthy controls, 87 patients with CAP and 58 patients with sCAP were included in the study. Compared to CAP, sCAP was characterized by significantly lower absolute number of B cells, Bn and Btr, significantly lower Btr and Bn subset percentage, while percentage of IgM+ Bm was significantly higher. Heat map showed Bn and Btr on day 3 and day 7 was negatively correlated with activated partial prothrombin time (APTT), international normalized ratio (INR), sequential organ failure assessment score (SOFA) and Acute Physiology and Chronic Health Evaluation II (APACHE II). After 28-day follow-up, Btr percentage in survival group was significantly higher. Receiver operator characteristic (ROC) curve analysis found that Btr count showed sensitivity of 48.6% and specificity of 87.0% for predicting the 28-day survival, with an area under the ROC curves of 0.689 (p = 0.019). CONCLUSIONS: Severity and prognosis of CAP in elderly people is accompanied by changes in the B cell subsets. Btr subsets could play prognostic role for a short-term mortality of elderly CAP patients.

A Multistrategy Artificial Bee Colony Algorithm Enlightened by Variable Neighborhood Search.

Artificial bee colony (ABC) has a good exploration ability against its exploitation ability. For enhancing its comprehensive performance, we proposed a multistrategy artificial bee colony (ABCVNS for short) based on the variable neighborhood search method. First, a search strategy candidate pool composed of two search strategies, i.e., ABC/best/1 and ABC/rand/1, is proposed and employed in the employed bee phase and onlooker bee phase. Second, we present another search strategy candidate pool which consists of the original random search strategy and the opposition-based learning method. Then, it is used to further balance the exploration and exploitation abilities in the scout bee phase. Last but not least, motivated by the scheme of neighborhood change of variable neighborhood search, a simple yet efficient choice mechanism of search strategies is presented. Subsequently, the effectiveness of ABCVNS is carried out on two test suites composed of fifty-eight problems. Furthermore, comparisons among ABCVNS and several famous methods are also carried out. The related experimental results clearly demonstrate the effectiveness and the superiority of ABCVNS.

An Enhanced Differential Evolution Algorithm Based on Multiple Mutation Strategies.

Differential evolution algorithm is a simple yet efficient metaheuristic for global optimization over continuous spaces. However, there is a shortcoming of premature convergence in standard DE, especially in DE/best/1/bin. In order to take advantage of direction guidance information of the best individual of DE/best/1/bin and avoid getting into local trap, based on multiple mutation strategies, an enhanced differential evolution algorithm, named EDE, is proposed in this paper. In the EDE algorithm, an initialization technique, opposition-based learning initialization for improving the initial solution quality, and a new combined mutation strategy composed of DE/current/1/bin together with DE/pbest/bin/1 for the sake of accelerating standard DE and preventing DE from clustering around the global best individual, as well as a perturbation scheme for further avoiding premature convergence, are integrated. In addition, we also introduce two linear time-varying functions, which are used to decide which solution search equation is chosen at the phases of mutation and perturbation, respectively. Experimental results tested on twenty-five benchmark functions show that EDE is far better than the standard DE. In further comparisons, EDE is compared with other five state-of-the-art approaches and related results show that EDE is still superior to or at least equal to these methods on most of benchmark functions.

[Relationship between mutations of epidermal growth factor receptor gene and clinicopathologic features of non-small cell lung cancers].

OBJECTIVE: To explore the relationship between the mutations of epidermal growth factor receptor (EGFR) gene and clinicopathological characteristics in patients with non-small cell lung cancers (NSCLC). METHODS: Paraffin-embedded tissue specimens were obtained from 1444 patients with NSCLC. The genomic DNA was extracted. Mutations of EGFR gene (exons 19 and 21) were detected by real-time PCR. RESULTS: DNA was available in 1410 cases. Somatic mutations of the EGFR gene were identified in 401 cases (27.8%). Among patients with EGFR mutations, 41.4% (n=166) had del E746-A750 of exon19, 6.7% (n=27) had del L747-P753insS of exon 19, 50.3% (n=201) had L858R of exon 21, and 1.5% (n=6) had L861Q of exon 21. Woman, non-smoker and adenocarcinoma showed a higher percentage of EGFR mutation (43.2%, 37.6%, and 33.5%, respectively). However, there was no association among age, grades, lymph node metastasis, and TNM stages (P>0.05). The mutation rate of BAC subtype (61.3%, 19/31) and adenocarcinoma with BAC features (48.0%, 12/25) was significantly higher than that of conventional adenocarcinoma (32.4%, 336/1038). A further assess of the smoking status found a trend that the more increased smoking exposure, the lower the incidence of EGFR mutations. A multivariable analysis revealed that adenocarcinoma, never smoking, and female were independently associated with EGFR mutations (odds rations=3.381, 2.393, and 1.727, respectively). CONCLUSIONS: The detection rate of EGFR mutation is higher in Chinese patients, especially in non-smoking female patients with adenocarcinoma. Real-time PCR is a sensitive and accurate method to detect the mutations of EGFR gene and can therefore provide useful information for clinical treatment.

[Comparison study on the diagnosis of erectile dysfunction with color Doppler ultrasonography and nocturnal electrobioimpedance volumetric assessment].

OBJECTIVE: To study the diagnostic value of color Doppler ultrasonography(CDUS) and nocturnal electrobioimpedance volumetric assessment (NEVA) in the assessment of erectile dysfunction (ED) and in differentiating the causes of ED. METHODS: CDUS and NEVA were performed in the 45 patients with ED. The patients were classified into 3 groups according to their results of CDUS, and compared all parameters of NEVA between each two groups, and then studied the correlation between CDUS and NEVA in the assessment of ED. RESULTS: In the non-vasculogenic ED group, 17 (94.4%) patients had normal nocturnal penile tumescence (NPT); and in contrast, there were 9(75.0%) and 8(72.7%) patients with abnormal NPT in the arteriogenic and venogenic ED groups, respectively. Except that the blood volume change of penis in the venogenic ED group was significantly lower than that in the non-vasculogenic ED group (P = 0.033), there were no significant difference in the other parameters of NEVA between each two groups. CONCLUSION: The results of NEVA are well correlated with the functions of artery and venous which were indicated by CDUS. NEVA can indicate the causes of ED to some extent.