Objective:To explore the impact of Epstein-Barr Virus(EBV) infection on treatment response and survival in newly diagnosed multiple myeloma(MM).Methods:The clinical data of 196 patients with newly diagnosed MM admitted to Zhongshan Hospital of Fudan University from June 1st, 2019 to February 25th,2021 were analyzed retrospectively and divided into EBV-positive group (106 cases) and negative group (90 cases) according to the primary EBV DNA results in peripheral blood mononuclear cells.To analyse the distribution of EBV positive rates in each type and in each stage of the Revised International Staging System (R-ISS), and to compare EBV DNA loads in EBV-positive patients among R-ISS stages.Rank sum test, 2×2 chi-square test and independent sample t-test were used to compare laboratory findings, such as liver and kidney function, immunohistochemistry and cytogenetics, treatment efficacy and survival prognosis between the two groups.The clinical prognosis of EBV-positive patients was summarized through survival analysis and Cox regression.Results:The EBV positive rate in patients with newly diagnosed MM was 54% (106/196), with the highest rate in patients with κ light chain type (9/12).Patients with R-ISS stage Ⅲ had a significantly higher positive rate than with stage Ⅰ ( χ2=4.68, P=0.031) and stage Ⅱ ( χ2=6.04, P=0.014), but there was no significant difference in EBV DNA loads between EBV-positive MM patients by stage ( Z=3.27, P=0.195).Serum creatinine (Scr) and β 2-microglobulin (β 2-MG) levels were higher in the EBV-positive group than in the EBV-negative group ( Z=1.98, P=0.048 and Z=2.08, P=0.038), and the occurrence of t(4;14) was also higher in the EBV-positive group ( χ2=3.93, P=0.047).The proportion of complete response (CR)/stringent complete response(sCR) and very good partial response(VGPR) after completion of the fourth chemotherapy were significantly lower in the EBV-positive group than in the EBV-negative group ( χ2=12.82, P=0.001 and χ2=8.30, P=0.004), and a higher rate of progressive disease (PD) occurred in the EBV-positive group ( χ2=4.48, P=0.046).The 2-year progression-free survival (PFS) of MM patients was shorter in the EBV-positive group compared to that in the EBV-negative group ( Z=-4.50, P0.01).Cox regression analysis showed that R-ISS stage Ⅲ ( HR=5.38, 95% CI 1.28-22.56, P=0.021), failure to achieve VGPR after the fourth chemotherapy ( HR=3.02, 95% CI 1.42-6.46, P=0.004), EBV-positive ( HR=1.98, 95% CI 1.02-3.87, P=0.045), with 1q21 amplification ( HR=2.35, 95% CI 1.16-4.75, P=0.017) and 13q14 deletion ( HR=1.93, 95% CI 1.01-3.67, P=0.046) were independent risk factors for PFS in newly diagnosed MM. Conclusions:EBV infection is an independent risk factor for poor prognosis, which has important clinical implications for the outcome and prognosis of patients with newly diagnosed MM, and may become a novel clinical assessment indicator.

Objective:To explore the impact of Epstein-Barr Virus(EBV) infection on treatment response and survival in newly diagnosed multiple myeloma(MM).Methods:The clinical data of 196 patients with newly diagnosed MM admitted to Zhongshan Hospital of Fudan University from June 1st, 2019 to February 25th,2021 were analyzed retrospectively and divided into EBV-positive group (106 cases) and negative group (90 cases) according to the primary EBV DNA results in peripheral blood mononuclear cells.To analyse the distribution of EBV positive rates in each type and in each stage of the Revised International Staging System (R-ISS), and to compare EBV DNA loads in EBV-positive patients among R-ISS stages.Rank sum test, 2×2 chi-square test and independent sample t-test were used to compare laboratory findings, such as liver and kidney function, immunohistochemistry and cytogenetics, treatment efficacy and survival prognosis between the two groups.The clinical prognosis of EBV-positive patients was summarized through survival analysis and Cox regression.Results:The EBV positive rate in patients with newly diagnosed MM was 54% (106/196), with the highest rate in patients with κ light chain type (9/12).Patients with R-ISS stage Ⅲ had a significantly higher positive rate than with stage Ⅰ ( χ2=4.68, P=0.031) and stage Ⅱ ( χ2=6.04, P=0.014), but there was no significant difference in EBV DNA loads between EBV-positive MM patients by stage ( Z=3.27, P=0.195).Serum creatinine (Scr) and β 2-microglobulin (β 2-MG) levels were higher in the EBV-positive group than in the EBV-negative group ( Z=1.98, P=0.048 and Z=2.08, P=0.038), and the occurrence of t(4;14) was also higher in the EBV-positive group ( χ2=3.93, P=0.047).The proportion of complete response (CR)/stringent complete response(sCR) and very good partial response(VGPR) after completion of the fourth chemotherapy were significantly lower in the EBV-positive group than in the EBV-negative group ( χ2=12.82, P=0.001 and χ2=8.30, P=0.004), and a higher rate of progressive disease (PD) occurred in the EBV-positive group ( χ2=4.48, P=0.046).The 2-year progression-free survival (PFS) of MM patients was shorter in the EBV-positive group compared to that in the EBV-negative group ( Z=-4.50, P0.01).Cox regression analysis showed that R-ISS stage Ⅲ ( HR=5.38, 95% CI 1.28-22.56, P=0.021), failure to achieve VGPR after the fourth chemotherapy ( HR=3.02, 95% CI 1.42-6.46, P=0.004), EBV-positive ( HR=1.98, 95% CI 1.02-3.87, P=0.045), with 1q21 amplification ( HR=2.35, 95% CI 1.16-4.75, P=0.017) and 13q14 deletion ( HR=1.93, 95% CI 1.01-3.67, P=0.046) were independent risk factors for PFS in newly diagnosed MM. Conclusions:EBV infection is an independent risk factor for poor prognosis, which has important clinical implications for the outcome and prognosis of patients with newly diagnosed MM, and may become a novel clinical assessment indicator.

Abtract Objective:To establish a graphite furnace atomic absorption spectroscopy,and to determine the content of aluminum in the hemofiltration base solution.Methods:The standard addition method of atomic absorption of graphite furnace was used to add matrix modifier to determine the content of aluminum.Results:Aluminum has a good linear relationship in the range of 0-20 μg·L-1,r=0.998;The detection limit concentration was 0.91 μg·L-1.The average recovery rate was 96.5％.The results of the three batches were 3.299,1.232 and 2.431 μg·L-1,respectively.Conclution:This method can effectively measure the content of aluminum in hemofiltration base solution products,and control the raw materials,production and packaging of products that may introduce pollution pathways.It is recommended that enterprises pay attention to the detection of aluminum content in the on hemofil-tration base solution to minimize the risk of contamination and ensure the quality of products.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Objective: This study examined the gut bacterial communities of dogs from different breeds, all kept under identical domestication conditions. Methods: Noninvasive sampling and 16S rRNA high-throughput sequencing were used to compare the composition and function of the gut microbiota of three dog breeds: the Chinese Kunming dog (CKD), German Shepherd dog (GSD), and Belgian Malinois dog (BMD). Results: The gut microbiota of the three dog breeds consisted of 257 species across 146 genera, 60 families, 35 orders, 15 classes, and 10 phyla. The dominant bacterial phyla across the three breeds were Firmicutes (57.44%), Fusobacteriota (28.86%), and Bacteroidota (7.63%), while the dominant bacterial genera across the three breeds were Peptostreptococcus (21.08%), Fusobacterium (18.50%), Lactobacillus (12.37%), and Cetobacter (10.29%). Further analysis revealed significant differences in the intestinal flora of the three breeds at the phylum and genus levels. The intestinal flora of BMD was significantly richer than that of CKD and GSD. The functional prediction and Kyoto Encyclopedia of Genes and Genomes analysis showed that the primary functions of the gut microbiota in these breeds were similar, with significant enrichment in various metabolic pathways, including carbohydrate and amino acid metabolism, secondary metabolite biosynthesis, and microbial metabolism in different environments. The intestinal flora of these breeds also played a crucial role in genetic information processing, including transcription, translation, replication, and material transport. Conclusions and Relevance: These results provide novel insights into the intestinal flora of intervention dogs and suggest novel methods to improve their health status, which help increase microbial diversity and normalize metabolite production in diseased dogs.

Many efforts have been made to understand excitotoxicity and develop neuroprotectants for the therapy of ischemic stroke. The narrow treatment time window is still to be solved. Given that the ischemic core expanded over days, treatment with an extended time window is anticipated. Bestrophin 1 (BEST1) belongs to a bestrophin family of calcium-activated chloride channels. We revealed an increase in neuronal BEST1 expression and function within the peri-infarct from 8 to 48 h after ischemic stroke in mice. Interfering the protein expression or inhibiting the channel function of BEST1 by genetic manipulation displayed neuroprotective effects and improved motor functional deficits. Using electrophysiological recordings, we demonstrated that extrasynaptic glutamate release through BEST1 channel resulted in delayed excitotoxicity. Finally, we confirmed the therapeutic efficacy of pharmacological inhibition of BEST1 during 6-72 h post-ischemia in rodents. This delayed treatment prevented the expansion of infarct volume and the exacerbation of neurological functions. Our study identifies the glutamate-releasing BEST1 channel as a potential therapeutic target against ischemic stroke with a wide time window.

Objective:To evaluate the effects of learning initiative on teaching effectiveness.Methods:The research subjects were the 2nd year medical students of Tongji Medical College of Huazhong University of Science and Technology. The learning initiative factor was calculated from the data of the attendance registration of the on-line learning of Physiology, and the performance of the on-line test was used as an evaluation indicator of teaching effectiveness. SPSS software was used to perform correlation analysis between the learning initiative factor and teaching effectiveness. Results:We found that learning initiative could significantly affect the teaching effectiveness, with differences among different specialties. There was a positive correlation between learning initiative and teaching effectiveness in clinical and pediatric medicine, while no correlation was observed in preventive medicine and medical imaging.Conclusion:In conclusion, learning initiative can affect teaching effectiveness, and the intensity of this effect shows difference among different specialties.

Objective To investigate the population differences of the newly named "metabolic associated fatty liver disease" (MAFLD) and the former name "nonalcoholic fatty liver disease" (NAFLD). Methods From November 2020 to January 2021, a cross-sectional survey was conducted among 624 elderly individuals aged above 65 years in a community in Beijing, China, and related data were collected, including demographic data, past history, laboratory markers, liver ultrasound, and liver elasticity. According to the presence or absence of fatty liver based on ultrasonic diagnosis, the individuals were divided into fatty liver group with 389 individuals and non-fatty liver group with 235 individuals. The independent samples t -test was used for comparison of normally distributed continuous data between the two groups, and the Mann-Whitney U test was used for comparison of non-normally distributed continuous data between the two groups; the chi-square test was used for comparison of categorical data between the two groups. Results Among the 389 patients with fatty liver, 387(99.5%) were diagnosed with MAFLD and 368(94.6%) were diagnosed with NAFLD, and there were 19 patients with a history of heavy alcohol consumption and 2 with positive surface antigen. A total of 366 patients met the diagnostic criteria for both MAFLD and NAFLD, accounting for 94.6% of the MAFLD patients and 99.5% of the NAFLD patients. Compared with the non-fatty liver group, the MAFLD group had significant increases in body mass index (BMI) ( t =-11.228, P < 0.05), waist circumference ( Z =-8.532, P < 0.05), hip circumference ( Z =-6.449, P < 0.05), waist-hip ratio ( Z =-5.708, P < 0.05), alanine aminotransferase ( Z =-5.027, P < 0.05), aspartate aminotransferase ( Z =-2.880, P < 0.05), platelet count ( t =-3.623, P < 0.05), triglyceride ( Z =-8.489, P < 0.05), fasting blood glucose ( Z =-3.516, P < 0.05), HbA1c ( Z =-2.884, P < 0.05), Homeostasis Model Assessment of Insulin Resistance (HOMA-IR) ( Z =-0.394, P < 0.05), high-sensitivity C-reactive protein ( Z =-4.912, P < 0.05), controlled attenuation parameter (CAP) ( t =13.744, P < 0.05), and liver stiffness measurement (LSM) ( Z =-7.69, P < 0.05), as well as a significant reduction in high-density lipoprotein cholesterol (HDL-C) ( t =6.348, P < 0.001). Meanwhile, MAFLD patients had more metabolic associated diseases, such as overweight, obesity, central obesity, dyslipidemia, and hypertension ( χ 2 =9.978, 65.472, 36.571, 9.797, and 5.128, all P < 0.05). In the MAFLD group, 30.7% of the patients had non-obese fatty liver disease (BMI < 25 kg/m 2 ), and 11.1% had lean fatty liver disease (BMI < 23 kg/m 2 ); compared with the obese MAFLD patients, the non-obese MAFLD patients had significantly lower age ( Z =-3.042, P < 0.05), BMI ( Z =-15.705, P < 0.05), waist circumference ( Z =-9.589, P < 0.05), hip circumference ( Z =-10.275, P < 0.05), HOMA-IR ( Z =-2.081, P < 0.05), CAP ( t =-3.468, P < 0.05), LSM ( Z =-3.630, P < 0.05), and NAFLD fibrosis score ( t =-4.433, P < 0.05). According to LSM value, advanced liver fibrosis accounted for 3.6% of the MAFLD population, and 10% of the MAFLD population could not be excluded for advanced liver fibrosis. Conclusion The diagnosis of MAFLD can basically cover the NAFLD population in the elderly people, and it is supposed that MAFLD can almost directly replace the concept of NAFLD in similar populations. However, further studies are needed to investigate its application in other populations.