Objective:Investigate the characteristics of hospitalized patients infected with parvovirus B19 (B19V) and the potential impact of B19V on disease progression and clinical outcomes in patients.Methods:The subjects of this observational retrospective study were 62 hospitalized patients who tested positive for B19V among 3 129 inpatients who visited Peking University People′s Hospital between April 1, 2022, and August 31, 2023, and underwent metagenomic next-generation sequencing (mNGS) for pathogens. Patient data regarding pathogen detection, clinical characteristics, and outcomes were collected, along with other laboratory test results, to assess hospitalization duration, incidence of mixed infections during hospitalization, and clinical outcomes within 30 days. The chi-square test was utilized to analyze differences in patient mortality rates and other relevant factors.Results:B19V infection waspobserved in patients with hematological disorders and solid organ transplant recipients (79.03%, 49/62). Additionally, B19V frequently coexists with other pathogens (40/62), with the highest rates of mixed infections involving human herpesvirus 6, cytomegalovirus, and Epstein-Barr virus, having 20, 9, and 8 cases respectively. The most common site of B19V detection is peripheral blood (χ 2=0.000 3, P<0.001), although it can also be detected in other bodily fluid samples. The 30 day mortality rate among B19V infected patients was 19.35% (12/62) 10 out of 12 deceased patients had concurrent mixed infections with other pathogens. Moreover, patients with mixed B19V infections exhibited a higher mortality rate compared to those with B19V infection alone (χ 2=4.546, P=0.033). Comparative analysis of 24 patients who underwent multiple mNGS tests revealed that patients with chronic B19V infection (12 cases) had a higher mortality rate compared to those with transient B19V infection (12 cases) (χ 2=12, P<0.001). Conclusions:Parvovirus B19 (B19V) infection is more commonly observed in patients with hematological disorders and solid organ transplant recipients, often coexisting with other pathogens. The mortality rate within 30 days of B19V infection is elevated, particularly when accompanied by concurrent mixed infections with other pathogens. Moreover, patients with chronic and persistent B19V infection face an increased risk of mortality.

Objective:To evaluate the safety of a novel nanoparticle neurotrophic factor complex for intraocular application in non-human primates.Methods:Nanoparticles incorporated with ciliary neurotrophic factor (NP-CNTFs) were produced utilizing nanotechnology.Three adult male cynomolgus macaques were included and intravitreally injected with 10 μl NP-CNTFs at a concentration of 1 μg/μl into one of the two eyes, and these three eyes were designated as the NP-CNTFs group.The contralateral eyes received the same volume of phosphate buffered saline and were designated as the control group.Before the injection and on days 3 and 7 after the injection, routine clinical examinations of the anterior segment were performed to evaluate the ocular clinical symptoms such as conjunctival congestion, anterior chamber flare and cells.The fundus condition was observed by fundus photography.The morphological structure and thickness of retinas were detected by spectral domain-optical coherence tomography (SD-OCT).The use and care of animals were in accordance with the Guide for the Care and Use of Laboratory Animals issued by the National Institutes of Health and the standards of Association for Assessment and Accreditation of Laboratory Animal Care.The study protocol complied with the ethics of laboratory animal welfare and was approved by Hubei Topgene Biotechnology Co., Ltd.(No.IACUC-2019-012).Results:The NP-CNTFs prepared in this study had a particle size of (317±3)nm, a polydispersity index of 0.042±0.015, and a zeta potential of (-38.9±0.7)mV, and exhibited relatively good stability, bioavailability, and biocompatibility.Clinical examinations revealed that the clinical manifestations of conjunctival congestion, anterior chamber flare and cells were slightly more obvious in the NP-CNTFs group at 3 days after injection compared to the control group, but basically returned to normal at 7 days after injection.The scores of anterior-segment clinical symptoms of the NP-CNTFs and control group were (2.67±0.88) and (1.00±0.58) at 3 days after injection, and (0.67±0.33) and (0.33±0.33) at 7 days after injection, respectively, with no statistical differences between them ( t=2.50, 1.00; both at P>0.05).Fundus photography showed normal fundus in both groups at 7 days after injection with no abnormal changes including vitreous opacity, vitreous hemorrhage, retinal hemorrhage or papilloedema.SD-OCT showed no significant histological changes in the retinas at 7 days after injection in both groups.The retinal nerve fiber layer thickness of the NP-CNTFs and control group were (107.67±0.88) and (111.00±3.22)μm, respectively, and the macular foveal thickness of the two groups were (255.67±2.03) and (254.67±3.84)μm, respectively, with no statistical differences between them ( t=1.43, 0.50; both at P>0.05). Conclusions:The complex NP-CNTFs shows good safety for intraocular application in cynomolgus macaques.

Purpose/significance To explore strategies for improving the health information service mode of public libraries,so as to realize the transformation of users from passive health to active health.Method/Process According to the influence factors such as user's health information behavior,expected status and health information concern degree,the public library health information service mode is constructed by using 5W1H analysis method.Result/Conclusion The health information service mode of public library is constructed from 5 aspects:"subject""content""object""method"and"place".

Purpose/Significance To analyze the text content of traditional Chinese medicine(TCM)policies issued by the central govern-ment in China,to identify hot topics,and to carry out thematic evolution analysis.Method/Process The paper retrieves TCM policies issued in China from 2006 to 2023,applies LDA theme model for theme extraction,hotspot analysis,and theme evolution analysis for each policy stage.Result/Conclusion TCM policies in China focus on clinical medical services,scientific research and innovation,education development,industrial construction,and cultural transmission.The hotspots of these policies exhibit unique characteristics at different stages.The evolution of TCM policies in our country shows a trend towards basic construction standardization,refinement,and comprehensive development.

Purpose/Significance To review the existing literature,and to analyze the main research directions of community elderly care services,so as to provide scientific suggestions for improving community elderly care services.Method/Process The literature data are obtained from CNKI database and combined with the life cycle theory,the related research process is divided into 3 stages.The topic changes in each stage are identified by LDA model,and the research hotspots and development trends in this field are analyzed and opin-ions are put forward.Result/Conclusion The researches on domestic community elderly care services focus on the elderly care mode,service system construction,rural and community services,aiming to provide comprehensive and professional services,improve service quality,and meet the diverse needs of the elderly.Community elderly care service is still a hot spot of social concern.In the future,we should strengthen service evaluation,pay attention to talent construction,and make full use of digital technology in this field.

OBJECTIVES: To classify bladder cancer based on immune cell infiltration score and to construct a risk assessment model for prognosis of patients. METHODS: The transcriptome data and data of breast cancer patients were obtained from the TCGA database. The single sample gene set enrichment analysis was used to calculate the infiltration scores of 16 immune cells. The classification of breast cancer patients was realized by unsupervised clustering, and the sensitivity of patients with different types to immunotherapy and chemotherapy was analyzed. The key modules significantly related to the infiltration of key immune cells were identified by weighted correlation network analysis (WGCNA), and the key genes in the modules were extracted. A risk scoring model and a nomogram for risk assessment of prognosis for bladder cancer patients were constructed and verified. RESULTS: The immune cell infiltration scores of normal tissues and tumor tissues were calculated, and B cells, mast cells, neutrophils, T helper cells and tumor infiltrating lymphocytes were determined to be the key immune cells of bladder cancer. Breast cancer patients were clustered into two groups (Cluster 1 and Custer 2) based on immune cell infiltration scores. Compared with patients with Cluster 1, patients with Cluster 2 were more likely to benefit from immunotherapy (P<0.05), and patients with Cluster 2 were more sensitive to Enbeaten, Docetaxel, Cyclopamine, and Akadixin (P<0.05). WGCNA screened out 35 genes related to key immune cells, and 4 genes (GPR171, HOXB3, HOXB5 and HOXB6) related to the prognosis of bladder cancer were further screened by LASSO Cox regression. The areas under the ROC curve (AUC) of the bladder cancer prognosis risk scoring model based on these 4 genes to predict the 1-, 3- and 5-year survival of patients were 0.735, 0.765 and 0.799, respectively. The nomogram constructed by combining risk score and clinical parameters has high accuracy in predicting the 1-, 3-, and 5-year overall survival of bladder cancer patients. CONCLUSIONS According to the immune cell infiltration score, bladder cancer patients can be classified. And the bladder cancer prognosis risk scoring model and nomogram based on key immune cell-related genes have high accuracy in predicting the prognosis of bladder cancer patients.

BACKGROUND:N6-methyladenosine(m6A)is a hot research topic in the mechanism of pathological cardiac remodeling and plays an important role in the development of cardiovascular diseases. OBJECTIVE:To summarize the possible mechanism by which m6A modification in non-coding RNAs regulates the main processes of pathological cardiac remodeling,such as pathological cardiac hypertrophy,cardiomyocyte death,myocardial fibrosis and vascular remodeling. METHODS:"m6A,non-coding RNA,pathological cardiac hypertrophy,cardiomyocyte apoptosis,cardiomyocyte pyroptosis,cardiomyocyte ferroptosis,myocardial fibrosis,vascular remodeling"were used as search terms in Chinese and English.Relevant literature from CNKI,PubMed and Web of Science databases published from January 1974 to April 2023 was retrieved,and finally 86 eligible articles were reviewed. RESULTS AND CONCLUSION:m6A modification is a highly dynamic and reversible modification.Pathological cardiac remodeling mainly involves pathological cardiac hypertrophy,cardiomyocyte apoptosis,cardiomyocyte pyroptosis,cardiomyocyte ferroptosis,myocardial fibrosis and vascular remodeling.m6A-related enzymes can regulate pathological cardiac remodeling processes through various non-coding RNAs and different signaling pathways,which can be used as a new potential intervention for cardiovascular diseases.In pathological cardiac remodeling,research on the regulatory relationship between m6A modification and non-coding RNAs is still in its infancy.With the development of epigenetics,m6A modification in non-coding RNAs is expected to have a new development in the regulation of pathological cardiac remodeling.

Objective:To measure the retinal structural and functional parameters of adult Macaca fascicularis, and explore the similarity of the retinal structural and functional parameters between non-human primates and normal human retinas.Methods:Six eyes of 3 5-year-old adult Macaca fascicularis were examined by in vivo detection including color fundus photography, retinal optical coherence tomography (OCT) and electroretinogram (ERG) to determine the thickness of the inner/outer retina at the fovea and 1 000/2 000 μm away from the nasal, temporal, superior and inferior regions of the fovea, the thickness of the retinal nerve fiber layer (RNFL), the area of optic disc, the area of optic cup, the area ratio of cup to disc and the biological parameters of flash ERG.Differences in the above parameters between left and right eyes were analyzed.The similarity of parameters between Macaca fascicularis and human was compared with reference to published literature.The use and care of animals complied with the Regulation on the Management of Experimental Animals.The study protocol was approved by the Institutional Animal Care and Use Committee of Hubei Topgene Biotechnology (NO.IACUC-2019-012). Results:The foveal thickness, optic disc area, cup-disc area ratio, and average RNFL thickness in normal adult Macaca fascicularis were (252.31±4.79)μm, (1.89±0.05)mm 2, 0.14±0.01, and (103.53±0.58)μm, respectively.The b-wave amplitude of dark-adapted 0.01 ERG was (66.75±7.29)μV.The a- and b-wave amplitudes of dark-adapted 3.0 ERG response were (57.15±15.01) and (122.10±25.51)μV, respectively.The a- and b-wave amplitudes, the amplitude of oscillation potentials, and the latency of dark-adapted 10.0 ERG response were (72.98±20.14)μV, (131.67±13.78)μV, (49.98±10.08)μV, and (30.02±5.76)ms, respectively.The a- and b-wave amplitudes of light-adapted 3.0 ERG were (9.16±2.75) and (40.43±5.57)μV, respectively.The latency and the amplitude of the light-adapted 30 Hz flicker was (26.61±1.19)ms and (24.72±5.10)μV, respectively.There was no significant difference in the parameters between left and right eyes (all at P>0.05). The retinal thickness in central fovea, mean RNFL thickness, waveform and amplitude of ERG of Macaca fascicularis were similar to normal human. Conclusions:The structure and function of the retina of adult Macaca fascicularis are similar to those of normal humans.As a laboratory animal for preclinical drug research, in vivo studies of Macaca fascicularis can refer to normal human retinal parameters.

Objective:To classify bladder cancer based on immune cell infiltration score and to construct a prognosis assessment model of patients with bladder cancer.Methods:The transcriptome data and clinical data of breast cancer patients were obtained from the The Cancer Genome Atlas(TCGA)database.Single sample gene set enrichment analysis was used to calculate the infiltration scores of 16 immune cells.The classification of breast cancer patients was achieved by unsupervised clustering,and the sensitivity of patients with different types to immunotherapy and chemotherapy was analyzed.The key modules significantly related to the infiltration of key immune cells were identified by weighted correlation network analysis(WGCNA),and the key genes in the modules were identified.A risk scoring model and a nomogram for prognosis assessment of bladder cancer patients were constructed and verified.Results:B cells,mast cells,neutrophils,T helper cells and tumor infiltrating lymphocytes were determined to be the key immune cells of bladder cancer.The patients were clustered into two groups(Cluster 1′ and Custer 2)based on immune cell infiltration scores.Compared with patients with Cluster 1′,patients with Cluster 2 were more likely to benefit from immunotherapy(P<0.05),and patients with Cluster 2 were more sensitive to Enbeaten,Docetaxel,Cyclopamine,and Akadixin(P<0.05).35 genes related to key immune cells were screened out by WGCNA and 4 genes(GPR171,HOXB3,HOXB5 and HOXB6)related to the prognosis of bladder cancer were further screened by LASSO Cox regression.The areas under the ROC curve(AUC)of the bladder cancer prognosis risk scoring model based on these 4 genes to predict the 1-,3-and 5-year survival of patients were 0.735,0.765 and 0.799,respectively.The nomogram constructed by combining risk score and clinical parameters has high accuracy in predicting the 1-,3-,and 5-year overall survival of bladder cancer patients.Conclusions:According to the immune cell infiltration score,bladder cancer patients can be classified.Furthermore,bladder cancer prognosis risk scoring model and nomogram based on key immune cell-related genes have high accuracy in predicting the prognosis of bladder cancer patients.

Objective:To classify bladder cancer based on immune cell infiltration score and to construct a prognosis assessment model of patients with bladder cancer.Methods:The transcriptome data and clinical data of breast cancer patients were obtained from the The Cancer Genome Atlas(TCGA)database.Single sample gene set enrichment analysis was used to calculate the infiltration scores of 16 immune cells.The classification of breast cancer patients was achieved by unsupervised clustering,and the sensitivity of patients with different types to immunotherapy and chemotherapy was analyzed.The key modules significantly related to the infiltration of key immune cells were identified by weighted correlation network analysis(WGCNA),and the key genes in the modules were identified.A risk scoring model and a nomogram for prognosis assessment of bladder cancer patients were constructed and verified.Results:B cells,mast cells,neutrophils,T helper cells and tumor infiltrating lymphocytes were determined to be the key immune cells of bladder cancer.The patients were clustered into two groups(Cluster 1′ and Custer 2)based on immune cell infiltration scores.Compared with patients with Cluster 1′,patients with Cluster 2 were more likely to benefit from immunotherapy(P<0.05),and patients with Cluster 2 were more sensitive to Enbeaten,Docetaxel,Cyclopamine,and Akadixin(P<0.05).35 genes related to key immune cells were screened out by WGCNA and 4 genes(GPR171,HOXB3,HOXB5 and HOXB6)related to the prognosis of bladder cancer were further screened by LASSO Cox regression.The areas under the ROC curve(AUC)of the bladder cancer prognosis risk scoring model based on these 4 genes to predict the 1-,3-and 5-year survival of patients were 0.735,0.765 and 0.799,respectively.The nomogram constructed by combining risk score and clinical parameters has high accuracy in predicting the 1-,3-,and 5-year overall survival of bladder cancer patients.Conclusions:According to the immune cell infiltration score,bladder cancer patients can be classified.Furthermore,bladder cancer prognosis risk scoring model and nomogram based on key immune cell-related genes have high accuracy in predicting the prognosis of bladder cancer patients.