Objective:To evaluate the predictive value of simplified geriatric assessment (sGA) in elderly Chinese patients diagnosed with diffuse large B-cell lymphoma (DLBCL) .Methods:It retrospectively analyzed the relationships of sGA with the clinical characteristics, outcome, and prognosis of 219 patients aged ≥60 years who were newly diagnosed with DLBCL at six hospitals in Jiangsu province between January 2018 and December 2022.Results:The median age of 219 patients was 68 years (60-87 years). According to the sGA system criteria, 101 (46.1%), 103 (47.0%), and 15 (6.8%) elderly patients with DLBCL were categorized as fit, unfit, and frail, respectively. The most common adverse reactions after chemotherapy were hematologic, and the incidence of grade >2 hematologic adverse reactions was similar among the three groups (47.5% vs 41.7% vs 46.7%, respectively; χ2=0.712, P=0.700). Compared with the fit and unfit groups, the frail group showed tendencies toward for higher proportions of grade >2 gastrointestinal, pulmonary, and infectious adverse reactions ( P>0.05 for all). The fit, unfit, and frail groups had respective remission rates of 74.3%, 46.6%, and 20.0% ( χ2=25.249, P<0.001) ; disease progression rates of 5.9%, 11.7%, and 26.7% ( χ2=6.763, P<0.05) ; 2-year overall survival rates of 92.1% (95% CI 86.6% to 97.9%), 77.6% (95% CI 69.5% to 86.6%), and 70.1% (95% CI 49.4% to 99.6%) ( P<0.05) ; and 2-year progression-free survival rates of 76.8% (95% CI 67.0% to 84.8%), 69.7% (95% CI 61.8% to 82.0%), and 65.7% (95% CI 53.3% to 100%) ( P=0.399) . Conclusion:sGA can effectively predict treatment adverse effects and efficacy, disease progression, and long-term survival in elderly DLBCL.

Objective·To investigate the differential gene expression of microglia in the gray and white matter of multiple sclerosis(MS)using single-nucleus transcriptomic analysis,aiming to explore their roles in disease progression,and identify key transcriptional regulatory networks associated with the disease.Methods·snRNA-seq data of frozen human brain tissue samples from MS patients and control individuals were obtained from the Gene Expression Omnibus(GEO)database.R language,along with R packages such as Seurat,was employed to identify cell types based on specific cell markers.Microglia were extracted from the identified cell populations and classified based on their anatomical origin,either gray matter or white matter.Dimensionality reduction and clustering techniques were utilized to identify distinct microglial subpopulations with differential characteristics.Differentially expressed genes(DEGs)between the MS and control groups at the subpopulation level were analyzed by using the Seurat package.Gene set enrichment analysis of Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)was conducted on the DEGs to further explore the biological significance of these differences.Monocle3 was used for pseudotime analysis to study dynamic changes in microglia subpopulations during disease progression.Single cell regulatory network inference and clustering(SCENIC)method was applied to analyze transcription factor(TF)regulatory networks,aiming to identify key transcription factors potentially involved in MS regulation.Results·After quality control,a total of 149 062 nuclei were retained for analysis.Following dimensional reduction and clustering,12 238 microglia were identified by using key markers,including DOCK8,CSF1R,P2RY12,and CD74.The results of GO and KEGG pathway analysis showed that in gray matter microglia,functions such as endocytosis,ion homeostasis,and lipid localization were downregulated during disease progression,while in white matter microglia,functions such as protein folding,cytoplasmic translation,and response to thermal stimuli were upregulated.SCENIC analysis revealed that the expression of transcription factors such as FLI1,MITF,and FOXP1 was upregulated in MS.Conclusion·Microglia play a critical role in MS,with white matter microglia being more significantly impacted by MS than their gray matter counterparts.Transcription factors such as FLI1,MITF,and FOXP1 are identified as key regulators involved in disease modulation,with their associated transcriptional regulatory networks playing a central role in disease modulation.

BACKGROUND:Skeletal muscle insulin resistance is the key pathological link of type 2 diabetes.The traditional Chinese medicine compound Roujishuncuiyin can effectively improve skeletal muscle insulin resistance,but its mechanism has not been clarified.OBJECTIVE:To explore the mechanism of Roujishuncuiyin on skeletal muscle insulin resistance in type 2 diabetes mice.METHODS:Forty db/db mice with type 2 diabetes mellitus were randomized into a model group,a low-dose Roujishuncuiyin group,a high-dose Roujishuncuiyin group,and a positive drug group,with 10 mice in each group.The latter three administration groups were given 157.5 mg/g and 630 mg/g Roujishuncuiyin and 200 mg/g metformin hydrochloride aqueous solution by gavage once a day,respectively.In addition,10 db/dm mice were selected as the blank control group.Mice in the model and blank control groups were given the same dose of 0.9％NaCl solution by gavage.After 12 weeks of intervention,fasting blood glucose was measured in each group of mice,and oral glucose tolerance test was performed to calculate the area under the blood glucose curve.ELISA was used to detect serum insulin level and calculate the resistance index.Mitochondrial structure of skeletal muscle tissue was observed under transmission electron microscopy.Western blot was used to detect the expression levels and phosphorylation levels of protein kinase B(AKT)and glycogen synthase kinase 3β(GSK-3β)proteins in skeletal muscle.RESULTS AND CONCLUSION:(1)Compared with the blank control group,fasting blood glucose,fasting insulin and insulin resistance index were significantly higher in the model group(P＜0.05),the area under the curve of the oral glucose tolerance test was significantly increased(P＜0.05),the expression of p-AKT and p-GSK3β proteins in tibialis anterior muscle was significantly decreased(P＜0.05),and there was a large amount of mitochondrial damage in tibialis anterior muscle and a large number of lipid droplets in the interstitium.(2)Compared with the model group,fasting blood glucose,fasting insulin,and insulin resistance index were significantly reduced in the low-and high-dose Roujishuncuiyin groups and the positive control group(P＜0.05),the area under the curve of the oral glucose tolerance test was reduced(P＜0.05),the expression of p-AKT and p-GSK3β proteins in the tibialis anterior muscle was significantly elevated(P＜0.05),and mitochondrial damage in the tibialis anterior muscle was significantly ameliorated,with decreased lipid droplets in the interstitium.(3)The above indexes were better in the high-dose Roujishuncuiyin group than the low-dose Roujishuncuiyin group(P＜0.05),while there was no significant difference between the high-dose Roujishuncuiyin group and positive control group(P＞0.05).To conclude,by upregulating the protein levels of p-AKT and p-GSK3β in skeletal muscle tissue,the traditional Chinese medicine compound Roujishuncuiyin can improve structural disorders and mitochondrial morphology in skeletal muscle tissue,reduce insulin resistance in the skeletal muscle and regulate glucose homeostasis in the body.

BACKGROUND:Skeletal muscle insulin resistance is the key pathological link of type 2 diabetes.The traditional Chinese medicine compound Roujishuncuiyin can effectively improve skeletal muscle insulin resistance,but its mechanism has not been clarified.OBJECTIVE:To explore the mechanism of Roujishuncuiyin on skeletal muscle insulin resistance in type 2 diabetes mice.METHODS:Forty db/db mice with type 2 diabetes mellitus were randomized into a model group,a low-dose Roujishuncuiyin group,a high-dose Roujishuncuiyin group,and a positive drug group,with 10 mice in each group.The latter three administration groups were given 157.5 mg/g and 630 mg/g Roujishuncuiyin and 200 mg/g metformin hydrochloride aqueous solution by gavage once a day,respectively.In addition,10 db/dm mice were selected as the blank control group.Mice in the model and blank control groups were given the same dose of 0.9％NaCl solution by gavage.After 12 weeks of intervention,fasting blood glucose was measured in each group of mice,and oral glucose tolerance test was performed to calculate the area under the blood glucose curve.ELISA was used to detect serum insulin level and calculate the resistance index.Mitochondrial structure of skeletal muscle tissue was observed under transmission electron microscopy.Western blot was used to detect the expression levels and phosphorylation levels of protein kinase B(AKT)and glycogen synthase kinase 3β(GSK-3β)proteins in skeletal muscle.RESULTS AND CONCLUSION:(1)Compared with the blank control group,fasting blood glucose,fasting insulin and insulin resistance index were significantly higher in the model group(P＜0.05),the area under the curve of the oral glucose tolerance test was significantly increased(P＜0.05),the expression of p-AKT and p-GSK3β proteins in tibialis anterior muscle was significantly decreased(P＜0.05),and there was a large amount of mitochondrial damage in tibialis anterior muscle and a large number of lipid droplets in the interstitium.(2)Compared with the model group,fasting blood glucose,fasting insulin,and insulin resistance index were significantly reduced in the low-and high-dose Roujishuncuiyin groups and the positive control group(P＜0.05),the area under the curve of the oral glucose tolerance test was reduced(P＜0.05),the expression of p-AKT and p-GSK3β proteins in the tibialis anterior muscle was significantly elevated(P＜0.05),and mitochondrial damage in the tibialis anterior muscle was significantly ameliorated,with decreased lipid droplets in the interstitium.(3)The above indexes were better in the high-dose Roujishuncuiyin group than the low-dose Roujishuncuiyin group(P＜0.05),while there was no significant difference between the high-dose Roujishuncuiyin group and positive control group(P＞0.05).To conclude,by upregulating the protein levels of p-AKT and p-GSK3β in skeletal muscle tissue,the traditional Chinese medicine compound Roujishuncuiyin can improve structural disorders and mitochondrial morphology in skeletal muscle tissue,reduce insulin resistance in the skeletal muscle and regulate glucose homeostasis in the body.

Objective·To investigate the differential gene expression of microglia in the gray and white matter of multiple sclerosis(MS)using single-nucleus transcriptomic analysis,aiming to explore their roles in disease progression,and identify key transcriptional regulatory networks associated with the disease.Methods·snRNA-seq data of frozen human brain tissue samples from MS patients and control individuals were obtained from the Gene Expression Omnibus(GEO)database.R language,along with R packages such as Seurat,was employed to identify cell types based on specific cell markers.Microglia were extracted from the identified cell populations and classified based on their anatomical origin,either gray matter or white matter.Dimensionality reduction and clustering techniques were utilized to identify distinct microglial subpopulations with differential characteristics.Differentially expressed genes(DEGs)between the MS and control groups at the subpopulation level were analyzed by using the Seurat package.Gene set enrichment analysis of Gene Ontology(GO)and Kyoto Encyclopedia of Genes and Genomes(KEGG)was conducted on the DEGs to further explore the biological significance of these differences.Monocle3 was used for pseudotime analysis to study dynamic changes in microglia subpopulations during disease progression.Single cell regulatory network inference and clustering(SCENIC)method was applied to analyze transcription factor(TF)regulatory networks,aiming to identify key transcription factors potentially involved in MS regulation.Results·After quality control,a total of 149 062 nuclei were retained for analysis.Following dimensional reduction and clustering,12 238 microglia were identified by using key markers,including DOCK8,CSF1R,P2RY12,and CD74.The results of GO and KEGG pathway analysis showed that in gray matter microglia,functions such as endocytosis,ion homeostasis,and lipid localization were downregulated during disease progression,while in white matter microglia,functions such as protein folding,cytoplasmic translation,and response to thermal stimuli were upregulated.SCENIC analysis revealed that the expression of transcription factors such as FLI1,MITF,and FOXP1 was upregulated in MS.Conclusion·Microglia play a critical role in MS,with white matter microglia being more significantly impacted by MS than their gray matter counterparts.Transcription factors such as FLI1,MITF,and FOXP1 are identified as key regulators involved in disease modulation,with their associated transcriptional regulatory networks playing a central role in disease modulation.

Objective:To evaluate the predictive value of simplified geriatric assessment (sGA) in elderly Chinese patients diagnosed with diffuse large B-cell lymphoma (DLBCL) .Methods:It retrospectively analyzed the relationships of sGA with the clinical characteristics, outcome, and prognosis of 219 patients aged ≥60 years who were newly diagnosed with DLBCL at six hospitals in Jiangsu province between January 2018 and December 2022.Results:The median age of 219 patients was 68 years (60-87 years). According to the sGA system criteria, 101 (46.1%), 103 (47.0%), and 15 (6.8%) elderly patients with DLBCL were categorized as fit, unfit, and frail, respectively. The most common adverse reactions after chemotherapy were hematologic, and the incidence of grade >2 hematologic adverse reactions was similar among the three groups (47.5% vs 41.7% vs 46.7%, respectively; χ2=0.712, P=0.700). Compared with the fit and unfit groups, the frail group showed tendencies toward for higher proportions of grade >2 gastrointestinal, pulmonary, and infectious adverse reactions ( P>0.05 for all). The fit, unfit, and frail groups had respective remission rates of 74.3%, 46.6%, and 20.0% ( χ2=25.249, P<0.001) ; disease progression rates of 5.9%, 11.7%, and 26.7% ( χ2=6.763, P<0.05) ; 2-year overall survival rates of 92.1% (95% CI 86.6% to 97.9%), 77.6% (95% CI 69.5% to 86.6%), and 70.1% (95% CI 49.4% to 99.6%) ( P<0.05) ; and 2-year progression-free survival rates of 76.8% (95% CI 67.0% to 84.8%), 69.7% (95% CI 61.8% to 82.0%), and 65.7% (95% CI 53.3% to 100%) ( P=0.399) . Conclusion:sGA can effectively predict treatment adverse effects and efficacy, disease progression, and long-term survival in elderly DLBCL.

RBM46 is a germ cell-specific RNA-binding protein required for gametogenesis, but the targets and molecular functions of RBM46 remain unknown. Here, we demonstrate that RBM46 binds at specific motifs in the 3'UTRs of mRNAs encoding multiple meiotic cohesin subunits and show that RBM46 is required for normal synaptonemal complex formation during meiosis initiation. Using a recently reported, high-resolution technique known as LACE-seq and working with low-input cells, we profiled the targets of RBM46 at single-nucleotide resolution in leptotene and zygotene stage gametes. We found that RBM46 preferentially binds target mRNAs containing GCCUAU/GUUCGA motifs in their 3'UTRs regions. In Rbm46 knockout mice, the RBM46-target cohesin subunits displayed unaltered mRNA levels but had reduced translation, resulting in the failed assembly of axial elements, synapsis disruption, and meiotic arrest. Our study thus provides mechanistic insights into the molecular functions of RBM46 in gametogenesis and illustrates the power of LACE-seq for investigations of RNA-binding protein functions when working with low-abundance input materials.
Animals ; Mice ; 3' Untranslated Regions/genetics* ; Cell Cycle Proteins/metabolism* ; Gametogenesis/genetics* ; Meiosis/genetics* ; Nuclear Proteins/genetics* ; RNA-Binding Proteins/genetics*

Objective:To investigate the value of artificial intelligence (AI) cytomorphologic analysis system in the cytomorphological diagnosis and therapeutic evaluation of acute myeloid leukemia (AML).Methods:Bone marrow smear samples were collected from 150 patients with newly diagnosed and treated acute myeloid leukemia who were inpatients and outpatients at the Department of Institute of Hematology and Blood Diseases Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College from June 1, 2021 to July 31, 2022 for retrospective analysis. Among them, there were 50 patients in the newly diagnosed group, including 28 males and 22 females, with the onset age of 43.5(32.3,58.8)years. There were 100 patients in the post-treatment group, including 36 males and 64 females, with the onset age of 34.5(23.0,47.0)years. The results from cytomorphology expert were used as the gold standard and the Python 3.6.7 was used for analysis to evaluate the accuracy, sensitivity, and specificity of the AI cytomorphologic analysis system for blast cell recognition in AML diagnosis and treatment.Results:The proportion of blasts in AI analysis of 50 samples in the newly diagnosed group was≥20%, which met the diagnostic criteria of AML. AI analysis of blasts had an accuracy of 90.3%, sensitivity of 85.5%, and specificity of 98.0%. The correlation coefficient between AI and the proportion of blasts analyzed by experts was positively correlated( r=0.882, P<0.001). Meanwhile, in the post-treatment group, the sensitivity and specificity of AI analysis of blasts were 89.7% and 99.2%, respectively. The correlation coefficient between AI and the proportion of blasts analyzed by experts was positively correlated( r=0.957, P<0.001). According to AI analysis data, there are 8 samples in this group whose AI efficacy evaluation results on AML are inconsistent with expert analysis. Conclusion:AI cytomorphologic analysis system has high accuracy, sensitivity and specificity for blast cell recognition in AML morphological diagnosis and therapeutic evaluation.

Objective:To investigate the effect of MCC950 (a NLRP3 inflammasome inhibitor) on cognitive impairment in mice with radiation-induced inflammatory brain injury.Methods:Mice were divided into normal (NS) group, whole body irradiation (IR) group and MCC950 intervention post irradiation (IR+ MCC950) group according to the random number table method, with 15 mice in each group. The mice in IR group and IR+ MCC950 group were irradiated with a single dose of 4.0 Gy. The radiation source was 137Cs and the dose rate was 1.118 Gy/min. The mice in NS group were not irradiated. Mice in IR+ MCC950 group were injected intraperitoneally with MCC950 once a day (10 mg/kg each time) from 3 weeks after irradiation. Behavioral tests such as new and old things recognition experiment and social cognition experiment were used to detect the cognitive function of mice. Immunohistochemistry was used to detect the expression of NeuN protein in CA3 area of mouse hippocampus. PCR and Western blot were used to detect the expression of NLRP3 inflammatory body related protein. Results:Compared with NS group, the short-term and long-term recognition index of new and old things in the IR group decreased significantly ( t=4.321, 5.473, P<0.01), and the social cognitive recognition index of the IR group also decreased significantly ( t=2.097, P<0.05). MCC950 treatment reversed the above changes (short-term and long-term new and old thing recognition test: t=5.860, 4.598, P<0.05; new and old position recognition test: t=3.040, P<0.05; social cognition test: t=4.021, P<0.01). The expression of NLRP3, Caspase-1, IL-1 β and IL-18 in mice hippocampus of the IR group was significantly higher than that of the control group ( t=2.699, 8.515, 3.340, 3.950, P<0.05). Compared with NS mice, radiation significantly increased the expressions of Bax, Caspase-3 and PARP1 in hippocampus ( t=3.887, 2.742, 3.287, P<0.05), while MCC950 significantly decreased the expressions of Bax, Caspase-3 and PARP1( t=2.852, 4.090, 9.614, P<0.05). Conclusions:NLRP3 inflammasome inhibitor MCC950 could alleviate radiation-induced cognitive impairment, which may be due to the inhibition of hippocampal inflammatory and neuronal death.