Objective:To investigate the relationship between the morphology of bone marrow plasma cells, the identification of M protein, and the detection of minimal residual disease(MRD)by flow cytometry in elderly patients with multiple myeloma(MM).Additionally, the impact on progression-free survival(PFS)is analyzed.Methods:A total of 60 elderly MM patients with bone marrow morphology reports and corresponding flow MRD detection, collected from February 1, 2017, to January 31, 2022, at Beijing Chaoyang Hospital Affiliated to Capital Medical University, were included in this study.We collected data on plasma cells from morphological examination and flow cytometry-based MRD detection. By combining these findings with M-protein identification results from 35 cases, we analyzed the correlations among these three parameters. Patients were stratified into two groups based on median values of: flow cytometry MRD(0.246% of nucleated cells), morphological plasma cell percentage(3.5%), and M-protein quantification(2.5 g/dl).This stratification enabled evaluation of their prognostic value for PFS.Results:A total of 60 elderly MM patients were enrolled, including 41 males with age of 65.0(63.0, 68.5)years and 19 females with age of 67.0(64.0, 72.0)years The morphology of bone marrow in 60 elderly patients with MM revealed 10 cases of primitive plasma cells(16.67%), 48 cases of immature plasma cells(80.00%), and 2 cases with no plasma cells(3.33%).A positive correlation was observed between the proportion of bone marrow plasma cells and the corresponding flow MRD in terms of both the proportion of nuclear cells and the proportion of plasma cells.Specifically, the proportion of the morphological protoplasma group showed a strong correlation with flow MRD(proportion of plasma cells)( r=0.82, P<0.01), while the proportion of the morphological immature plasma group exhibited moderate correlations with flow MRD(proportion of nuclear cells)( r=0.74, P<0.05)and flow MRD(proportion of plasma cells)( r=0.70, P<0.01).No significant correlation was found between the type and quantity of M protein and flow MRD( P>0.05).The PFS time for the flow MRD ≥0.246%(nucleated cells)group was shorter than that of the<0.246% group( P<0.05).There was no significant difference in PFS between the groups with plasma cell ratios ≥3.5% and<3.5%( P=0.15).Additionally, no significant difference in PFS was observed between patients with M protein quantitation ≥2.5 g/dl and those with M protein quantitation<2.5 g/dl( P=0.94). Conclusions:The proportion of bone marrow plasma cells correlates with flow MRD in elderly patients with MM, and a high MRD load indicates a poor prognosis.However, no significant correlation was found between M protein levels and flow MRD or PFS.Clinical attention should focus on the dynamic monitoring of plasma cell morphology and flow MRD.Nevertheless, the morphological detection of plasma cells remains crucial for auxiliary diagnosis due to its intuitiveness, cost-effectiveness, and broad applicability.

Objective To examine the impact of different numbers of microsatellite markers on the analysis of population genetic diversity of Schistosoma japonicum, so as to provide insights into studies on the population genetic diversity of S. japonicum. Methods Oncomelania hupensis snails were collected from a wasteland in Gong’an County, Hubei Province, and 37 S. japonicum-infected O. hupensis snails were identified using the cercarial shedding method. A single cercaria released from each S. japonicum-infected O. hupensis snail was collected, and 10 cercariae were randomly collected from DNA extraction. Nine previously validated microsatellite loci and 15 additional microsatellite loci screened from literature review and the GenBank database and confirmed with stable amplification efficiency were selected as molecular markers. Genomic DNA from cercariae was subjected to three multiplex PCR amplifications of microsatellite markers with the Type-it Microsatellite PCR kit, and genotyped using capillary electrophoresis. The population genetic diversity of S. japonicum cercariae DNA was analyzed with observed number of alleles (Na), effective number of alleles (Ae), observed heterozygosity (Ho), expected heterozygosity (He), and polymorphism information content (PIC), and tested for Hardy-Weinberg equilibrium (HWE) and linkage disequilibrium (LD). To further investigate the impact of the number of microsatellite loci on the population genetic diversity of S. japonicum, the number of microsatellite markers was sequentially assigned from 1 to 24, and the mean and standard deviation of Na were calculated for S. japonicum populations at different locus numbers. In addition, the coefficient of variation (CV) of allelic number (defined as the ratio of the standard deviation to the mean) was determined, and the variation in Na with increasing microsatellite locus numbers was analyzed. Results Genomic DNA from 345 S. japonicum cercariae was selected for genotyping of 24 microsatellite markers, and all 24 microsatellite loci met linkage equilibrium (standardized linkage disequilibrium coefficient D′ < 0.7, r² < 0.3) and deviated from Hardy-Weinberg equilibrium (P < 0.001). The mean Na, Ae, Ho and He were 27.46 ± 2.18, 12.46 ± 0.95, 0.46 ± 0.03, and 0.91 ± 0.01 for 24 microsatellite loci in S. japonicum cercarial populations, respectively, and PIC ranged from 0.85 to 0.96, indicating high genome-wide representativeness of 24 microsatellite loci. The mean value of Na-Ae was higher in genotyping with 9 previously validated microsatellite loci (19.88 ± 8.43) than with all 24 loci (14.99 ± 8.09). As the number of microsatellite loci increased, the mean Na showed no significant variation; however, the standard deviation gradually decreased. Notably, if the locus number reached 18 or more, the variation in the standard deviation of Na remarkably reduced. In addition, the standard deviation of Na at 18 loci was less than 5% of the mean Na at 24 loci, with a CV of 4.6%. Conclusions The number of microsatellite loci significantly affects the population genetic diversity analysis of S. japonicum. Eighteen or more microsatellite loci are recommended for analysis of the population genetic diversity of S. japonicum under the current conditions of low-prevalence infection and unbalanced genetic distribution of S. japonicum.

Objective:To investigate the relationship between the morphology of bone marrow plasma cells, the identification of M protein, and the detection of minimal residual disease(MRD)by flow cytometry in elderly patients with multiple myeloma(MM).Additionally, the impact on progression-free survival(PFS)is analyzed.Methods:A total of 60 elderly MM patients with bone marrow morphology reports and corresponding flow MRD detection, collected from February 1, 2017, to January 31, 2022, at Beijing Chaoyang Hospital Affiliated to Capital Medical University, were included in this study.We collected data on plasma cells from morphological examination and flow cytometry-based MRD detection. By combining these findings with M-protein identification results from 35 cases, we analyzed the correlations among these three parameters. Patients were stratified into two groups based on median values of: flow cytometry MRD(0.246% of nucleated cells), morphological plasma cell percentage(3.5%), and M-protein quantification(2.5 g/dl).This stratification enabled evaluation of their prognostic value for PFS.Results:A total of 60 elderly MM patients were enrolled, including 41 males with age of 65.0(63.0, 68.5)years and 19 females with age of 67.0(64.0, 72.0)years The morphology of bone marrow in 60 elderly patients with MM revealed 10 cases of primitive plasma cells(16.67%), 48 cases of immature plasma cells(80.00%), and 2 cases with no plasma cells(3.33%).A positive correlation was observed between the proportion of bone marrow plasma cells and the corresponding flow MRD in terms of both the proportion of nuclear cells and the proportion of plasma cells.Specifically, the proportion of the morphological protoplasma group showed a strong correlation with flow MRD(proportion of plasma cells)( r=0.82, P<0.01), while the proportion of the morphological immature plasma group exhibited moderate correlations with flow MRD(proportion of nuclear cells)( r=0.74, P<0.05)and flow MRD(proportion of plasma cells)( r=0.70, P<0.01).No significant correlation was found between the type and quantity of M protein and flow MRD( P>0.05).The PFS time for the flow MRD ≥0.246%(nucleated cells)group was shorter than that of the<0.246% group( P<0.05).There was no significant difference in PFS between the groups with plasma cell ratios ≥3.5% and<3.5%( P=0.15).Additionally, no significant difference in PFS was observed between patients with M protein quantitation ≥2.5 g/dl and those with M protein quantitation<2.5 g/dl( P=0.94). Conclusions:The proportion of bone marrow plasma cells correlates with flow MRD in elderly patients with MM, and a high MRD load indicates a poor prognosis.However, no significant correlation was found between M protein levels and flow MRD or PFS.Clinical attention should focus on the dynamic monitoring of plasma cell morphology and flow MRD.Nevertheless, the morphological detection of plasma cells remains crucial for auxiliary diagnosis due to its intuitiveness, cost-effectiveness, and broad applicability.

People frequently struggle to juggle their work, family, and social life in today’s fast-paced environment, which can leave them exhausted and worn out. The development of technologies for detecting fatigue while driving is an important field of research since driving when fatigued poses concerns to road safety. In order to throw light on the most recent advancements in this field of research, this paper provides an extensive review of fatigue driving detection approaches based on electroencephalography (EEG) data. The process of fatigue driving detection based on EEG signals encompasses signal acquisition, preprocessing, feature extraction, and classification. Each step plays a crucial role in accurately identifying driver fatigue. In this review, we delve into the signal acquisition techniques, including the use of portable EEG devices worn on the scalp that capture brain signals in real-time. Preprocessing techniques, such as artifact removal, filtering, and segmentation, are explored to ensure that the extracted EEG signals are of high quality and suitable for subsequent analysis. A crucial stage in the fatigue driving detection process is feature extraction, which entails taking pertinent data out of the EEG signals and using it to distinguish between tired and non-fatigued states. We give a thorough rundown of several feature extraction techniques, such as topology features, frequency-domain analysis, and time-domain analysis. Techniques for frequency-domain analysis, such wavelet transform and power spectral density, allow the identification of particular frequency bands linked to weariness. Temporal patterns in the EEG signals are captured by time-domain features such autoregressive modeling and statistical moments. Furthermore, topological characteristics like brain area connection and synchronization provide light on how the brain’s functional network alters with weariness. Furthermore, the review includes an analysis of different classifiers used in fatigue driving detection, such as support vector machine (SVM), artificial neural network (ANN), and Bayesian classifier. We discuss the advantages and limitations of each classifier, along with their applications in EEG-based fatigue driving detection. Evaluation metrics and performance assessment are crucial aspects of any detection system. We discuss the commonly used evaluation criteria, including accuracy, sensitivity, specificity, and receiver operating characteristic (ROC) curves. Comparative analyses of existing models are conducted, highlighting their strengths and weaknesses. Additionally, we emphasize the need for a standardized data marking protocol and an increased number of test subjects to enhance the robustness and generalizability of fatigue driving detection models. The review also discusses the challenges and potential solutions in EEG-based fatigue driving detection. These challenges include variability in EEG signals across individuals, environmental factors, and the influence of different driving scenarios. To address these challenges, we propose solutions such as personalized models, multi-modal data fusion, and real-time implementation strategies. In conclusion, this comprehensive review provides an extensive overview of the current state of fatigue driving detection based on EEG signals. It covers various aspects, including signal acquisition, preprocessing, feature extraction, classification, performance evaluation, and challenges. The review aims to serve as a valuable resource for researchers, engineers, and practitioners in the field of driving safety, facilitating further advancements in fatigue detection technologies and ultimately enhancing road safety.

ObjectiveTo understand the physical development level of 3-7 years old children in Zhag′yab， and to provide reference for local health decision-making. MethodsA cross-sectional study was conducted between June 2021 and July 2021， with a sample of 1 247 Tibetan children aged 3-7 years from kindergartens in 13 districts of Zhag′yab. Their height and weight were measured and the hemoglobin was detected by a unified method. Standard statistical method was adopted （Z-score method）. Z-scores of length /height-for-age （HAZ）， Z-scores of weight-for-age （WAZ）， Z-scores of body mass index （BMI）-for-age （BAZ） and Z-scores of weight-for-height （WHZ） were calculated by WHO Anthro v3.2.2 and WHO Anthro Plus. The nutritional status of children was evaluated according to WHO diagnostic criteria for malnutrition and anemia. ResultsThe average WAZ and HAZ of children aged 3 to 7 in Zhag′yab were lower than the WHO standards，except for the WAZ of 4-year old， the differences were statistically significant （P<0.05）. The overall detection rate of malnutrition was 25.7%， stunting， underweight， wasting， overweight， obesity and anemia were 11.6%， 11.8%， 10.8%， 3.3%， 1.8% and 29.3%， respectively. The detection rates of all indicators in boys were higher than those in girls， and the differences were not statistically significant （P>0.05）. The overweight rate and obesity rate of rural children were lower than those of urban children， and the other detection rates were higher than those of urban children. The differences of underweight rate， obesity rate and anemia rate were statistically significant between urban and rural children （P<0.05）. Among the detection rates of all indicators in different age groups， there were statistically significant differences in the overweight rate and the anemia rate （P<0.05）. The overweight rate of children aged 4 and the anemia rate of children aged 5 were the highest. ConclusionsThe physical development of children aged 3 to 7 in Zhag′yab is poor， and the prevalence of malnutrition and anemia is high. Underweight and anemia are more serious in rural children， and the overweight and obesity problem of urban children is emerging. More attention should be paid to promote their nutritional status. The prevention and intervention of children’s malnutrition should be strengthened in Zhag′yab.

Objective:To investigate the value of bone marrow plasma cell morphology in the diagnosis and prognosis of plasma cell myeloma (PCM).Method:Observational study.Collect the bone marrow morphology image reports and corresponding monoclonal protein (M protein) identification results of 1071 patients [629 males and 442 females, Median age 62 (29, 93) years] diagnosed with PCM in the outpatient and inpatient departments of Beijing Chaoyang Hospital affiliated to Capital Medical University from January 1, 2017 to February 28, 2022. Combined with Durie‐Salmon(DS) and International Staging System (ISS) of 427 patients diagnosed with PCM and overall survival time (OS) of 436, summarize the relevant plasma cell morphological characteristics. Statistical methods include chi-square test, Kruskal-Walls test, Spearman correlation analysis and Kaplan-Meier survival analysis.Result:The bone marrow morphology reports showed that the typical morphological features of peripheral blood in 573 patients with PCM included plasma cells (40.84%), immature granulocytes (30.89%), rouleaux formation in erythrocytes (68.94%) and nucleated red blood cells (8.55%). The types of bone marrow plasma cells in 1 071 patients diagnosed with PCM included 372 (34.73%) plasmablasts, 674 (62.93%)immature plasma cells, and 25 (2.34%) mature plasma cells. There is a significant positive correlation between the number of bone marrow plasma cells (proportion of nuclear cells) and the concentration of IgG and IgA type, from M protein identification( r=0.55, r=0.60, P<0.01). The proportions of M protein types in 1 071 patients with PCM from high to low were IgG (45.75%), IgA (23.53%), light chain (19.61%), IgD (4.76%), non-secretory (4.3%), biclonal (1.78%), IgE (0.19%), IgM (0.08%). The typical characteristics of the bone marrow plasma cells in various M protein types included clustered distribution, different cell body sizes, inclusions in the cytoplasm, binuclear, polynuclear, and abnormal nuclear. The proportion of plasmablasts in DSⅢ stage was 44.81% (164/366), higher than 21.57% (11/51) in DSⅡstage, and the difference was statistically significant(χ 2=10.2, P<0.05). There was a significant positive correlation between the number of bone marrow plasma cells and DS and ISS stages( r=0. 0.23, r=0.30, P<0.01). The median OS of the PCM patients in the plasmablasts group was significantly shorter than that in the immature plasma cells group [56.0 (23.0, 101.8) months vs 75.9(31.6, 121.5) months, HR=1.42,95% CI 1.05-1.91, P=0.02]. The median OS of the PCM patients in the group of tumor plasma cells burden≥37.5% was shorter than that of the tumor plasma cells burden<37.5% [75.9 (21.4, 122.6)months vs 81.3 (36.6, 108) months, HR=1.54,95% CI 1.14-2.07, P<0.05]. Conclusion:The morphology and tumor burden of bone marrow plasma cells provide an important basis for the diagnosis of PCM and can be used as a prognostic indicator for patients with PCM.

The highly pathogenic avian influenza (HPAI) H5N1 virus has caused several outbreaks in domestic poultry. Despite great efforts to control the spread of this virus, it continues to evolve and poses a substantial threat to public health because of a high mortality rate. In this study, we sequenced whole genomes of eight H5N1 avian influenza viruses isolated from domestic poultry in eastern China and compared them with those of typical influenza virus strains. Phylogenetic analyses showed that all eight genomes belonged to clade 2.3.2.1 and clade 7.2, the two main circulating clades in China. Viruses that clustered in clade 2.3.2.1 shared a high degree of homology with H5N1 isolates located in eastern Asian. Isolates that clustered in clade 7.2 were found to circulate throughout China, with an east-to-west density gradient. Pathogenicity studies in mice showed that these isolates replicate in the lungs, and clade 2.3.2.1 viruses exhibit a notably higher degree of virulence compared to clade 7.2 viruses. Our results contribute to the elucidation of the biological characterization and pathogenicity of HPAI H5N1 viruses.
Animals ; China ; Influenza A Virus, H5N1 Subtype ; genetics ; isolation & purification ; pathogenicity ; Influenza in Birds ; virology ; Mice, Inbred BALB C ; Phylogeny ; Poultry

The research studies the effect of different fertilization treatments on yield and accumulation of secondary metabolites of Codonopsis pilosula by using single factor randomized block design, in order to ensure reasonable harvesting time and fertilization ratio, and provide the basis for standardized cultivation of C. pilosula. According to the clustering results, the nitrogen fertilizer benefitted for the improvement of root diameter and biomass of C. pilosula. The phosphate fertilizer could promote the content of C. pilosula polysaccharide. The organic fertilizers could increase the content of lobetyolin. With the time going on, C. pilosula's yield, polysaccharide and ehanol-soluble extracts increased while the content of lobetyolin decreased. According to various factors, October is a more reasonable harvest period. Organic fertilizers are more helpful to the yield and accumulation of secondary metabolites of C. pilosula.

Objective To select the calibrator for the conventional measurement system of serum a-Amylase (Amy).Methods The Amy levels of forty frozen serum samples were detected by the IFCC reference method (reference system),the conventional system A which used the Bioassay routine reagent and Randox calibrator,and was calibrated by the Roche PNPG7 method,and the conventional system B which used the Bioassay routine reagent and Randox calibrator,and was calibrated by the Rondox liquid stable PNPG7 method,respectively,and the acceptability of the two conventional systems was evaluated.Results The regression equations of the measurement values between the IFCC reference method and the conventional systems A and B were Y =0.964X +0.376 and Y =1.095X + 3.131,respectively.Among them,X and Y represented the results of the IFCC reference method and the conventional system,respectively.Compared with the IFCC reference method,the results of the conventional system A was reliable.Condusion With the guidance of the IFCC reference method,the domestic biochemical reagents matched with the suitable calibrators may provide the acceptable results.

Objective To investigate the important role of diabetes educators in diabetic patients'health education process.Methods A total of 73 diabetic patients were evaluated by the same self-designed questionnaire before and after health education by diabetes educators,and the results were compared.Results After health education,the rate of 73 diabetic patients' diet knowledge including total calorie,amount of staple food,non-staple food,oil,vegetable and fruit were respectively 90.4％,97.3％,98.6％,98.6％,98.6％ and 95.9％,all of which were higher than those before health education (26.0％,78.1％,68.5％,42.5％,58.9％ and 71.2％),and the differences were statistically significant (x2 =43.31,12.25,20.17,39.09,29.12,14.73,respectively; P ＜ 0.01).After the diabetes health education,the rate of 73 diabetic patients' insulin types knowledge was 64.4％,was higher than this before health education (45.2％),the difference was statistically significant (x2 =10.29,P ＜ 0.01).The rate of patients' self-monitoring behaviors including keeping a diary,recording special events,measuring blood pressure weekly,testing HbA1 c every three months,doing fundus examination at regular intervals and inspecting blood fat,liver and kidney function regularly after health education were respectively 91.8％,98.6％,98.6％,98.6％,98.6％ and 98.6％,obviously higher than those before education (32.9％,24.7％,46.6％,39.7％,50.7％ and 54.8％),and the differences were statistically significant (x2 =39.34,52.07,36.10,41.09,33.11,30.11,respectively; P ＜0.01).Conclusions The diabetes educators play an important role in improving diabetes patients' level of healthy knowledge.