Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

Objective:To understand the molecular evolutionary characteristics of the recombinant strain GII.3[P12] of norovirus acute gastroenteritis outbreaks and aggregated outbreaks in China from 2022 to 2023.Methods:Epidemiological information, case information, clinical samples, as well as detection and genotyping information of norovirus outbreaks and aggregated outbreaks from 2022 to 2023 were collected; positive samples of the GII.3[P12] recombinant strain were subjected to nucleic acid extraction, whole-genome amplification, and sequence analysis; and homology simulation method were used to construct a three-dimensional structure and predict antigenic epitopes.Results:From January 2022 to December 2023, a total of 1 136 norovirus outbreaks and aggregated outbreaks were reported in China′s norovirus outbreak surveillance network, and genotyping result were successfully obtained for 942 outbreaks, with GII dominating, accounting for 76.0% (716/942), and the proportion of GI and mixed genotypes being 15.8% (149/942) and 8.2% (77/942). Norovirus outbreaks caused by GII were dominated by GII.3[P12] (22.5%, 161/716), while other major genotypes included GII.17[P17] (18.7%, 134/716), GII.4_Sydney 2012[P16] (11.6%, 83/716) and GII.6[P7] ( 11.3%, 81/716). 2022-2023 Outbreaks caused by GII.3[P12] were concentrated in February-March (54.0%, 87/161), with the main outbreaks occurring in nursery and primary schools (87.5%), the mode of transmission was mainly human-to-human (68.9%), and the main susceptible population was children aged 3-7 years (93.3%). In this study, the genome sequences of 25 GII.3[P12] recombinant strains were obtained, and according to the phylogenetic analysis, it was shown that the GII.3[P12] recombinant strains in China in 2022-2023 belonged to the Cluster IV cluster of sublineage b (7 strains) and sublineage c (18 strains). A total of 11 linear and 8 conformational epitopes were predicted by epitope prediction analysis, and the predicted linear and conformational epitopes had overlapping positions, and each conformational epitope was part of the predicted linear epitope with conserved potential antigen-binding and receptor-binding sites.Conclusions:The recombinant strain GII.3[P12] is one of the epidemic strains that will cause outbreaks and clusters of norovirus in China in 2022-2023, and its genome did not undergo significant mutation.

Objective:To examine the near-complete genomic analysis of norovirus (NoV) subtype GⅡ.17 [P17] outbreaks in Beijing Chaoyang District from 2014 to 2024.Methods:Data and specimens related to outbreaks of the NoV aggregation in Beijing′s Chaoyang District from 2014 to 2024 were collected. The NoV was identified using real-time fluorescence reverse transcription polymerase chain reaction (RT-PCR). Specimens with positive nucleic acid were amplified by standard PCR, whole genome sequencing and evolutionary analysis. Amino acid site variations were compared.Results:In Chaoyang District, from 2014 to 2024, a total of 637 aggregated outbreaks caused by the NoV infection were reported, of which 584 were successfully typed. The epidemic caused by the GⅡ.17 [P17] subtype accounted for 8.79% (56/637), which was the dominant epidemic gene subtype in 2014-2015, sporadic in 2016-2019, reappeared in 2022, and significantly increased in 2024 (27.27%, 24/88). Outbreaks caused by the GⅡ.17 [P17] subtype occurred mainly from October to December, with the main sites of occurrence in primary schools and kindergartens. This study yielded 53 near-complete genome sequences of the GⅡ.17 [P17] subtype from 46 incidents in Chaoyang District. The GⅡ.17 [P17] subtype sequences of Chaoyang District from 2014 to 2024 were segmented into three subgroups on the evolutionary tree, with sequences from 2014 to 2019, 2022 to April 2024, and May to December 2024 clustered into the d, e, and b subgroups, respectively. In the VP1 region′s P2 area, particularly at the HBGA binding site, subgroups b and e exhibited mutations in 22 and two sites, while subgroups b and e showed mutations in four and one sites, predominantly in the RdRp region.Conclusion:The outbreak caused by the NoV GⅡ.17 [P17] subtype in Chaoyang District from 2014 to 2024 continues, with a significant increase in 2024, and it becomes the dominant gene subtype from October to December. The sequence formation of the NoV GⅡ.17 [P17] subtype in Chaoyang District from January to April 2022 and from May to December 2024 shows two different evolutions, with specific mutation sites, requiring continuous monitoring of the NoV GⅡ.17 [P17] subtype.

The National Essential Medicines System could protect public health and ensure access to essential medications.Although the current selection methods for China's National Essential Medicines Lists(NEMLs)are becoming more scientific and standardized,there are still problems such as much emphasis on expert experience and the lack of transparency of decision-making basis.To address these issues,it proposes an evidence-based decision-making pathway for NEMLs selection guided by clinical value.This approach ensures a strong integration of evidence and decision-making,offering valuable insights for improving the adjustment procedures and selection criteria of the NEMLs in China.

The National Essential Medicines System could protect public health and ensure access to essential medications.Although the current selection methods for China's National Essential Medicines Lists(NEMLs)are becoming more scientific and standardized,there are still problems such as much emphasis on expert experience and the lack of transparency of decision-making basis.To address these issues,it proposes an evidence-based decision-making pathway for NEMLs selection guided by clinical value.This approach ensures a strong integration of evidence and decision-making,offering valuable insights for improving the adjustment procedures and selection criteria of the NEMLs in China.

Objective:To understand the molecular evolutionary characteristics of the recombinant strain GII.3[P12] of norovirus acute gastroenteritis outbreaks and aggregated outbreaks in China from 2022 to 2023.Methods:Epidemiological information, case information, clinical samples, as well as detection and genotyping information of norovirus outbreaks and aggregated outbreaks from 2022 to 2023 were collected; positive samples of the GII.3[P12] recombinant strain were subjected to nucleic acid extraction, whole-genome amplification, and sequence analysis; and homology simulation method were used to construct a three-dimensional structure and predict antigenic epitopes.Results:From January 2022 to December 2023, a total of 1 136 norovirus outbreaks and aggregated outbreaks were reported in China′s norovirus outbreak surveillance network, and genotyping result were successfully obtained for 942 outbreaks, with GII dominating, accounting for 76.0% (716/942), and the proportion of GI and mixed genotypes being 15.8% (149/942) and 8.2% (77/942). Norovirus outbreaks caused by GII were dominated by GII.3[P12] (22.5%, 161/716), while other major genotypes included GII.17[P17] (18.7%, 134/716), GII.4_Sydney 2012[P16] (11.6%, 83/716) and GII.6[P7] ( 11.3%, 81/716). 2022-2023 Outbreaks caused by GII.3[P12] were concentrated in February-March (54.0%, 87/161), with the main outbreaks occurring in nursery and primary schools (87.5%), the mode of transmission was mainly human-to-human (68.9%), and the main susceptible population was children aged 3-7 years (93.3%). In this study, the genome sequences of 25 GII.3[P12] recombinant strains were obtained, and according to the phylogenetic analysis, it was shown that the GII.3[P12] recombinant strains in China in 2022-2023 belonged to the Cluster IV cluster of sublineage b (7 strains) and sublineage c (18 strains). A total of 11 linear and 8 conformational epitopes were predicted by epitope prediction analysis, and the predicted linear and conformational epitopes had overlapping positions, and each conformational epitope was part of the predicted linear epitope with conserved potential antigen-binding and receptor-binding sites.Conclusions:The recombinant strain GII.3[P12] is one of the epidemic strains that will cause outbreaks and clusters of norovirus in China in 2022-2023, and its genome did not undergo significant mutation.

ObjectiveTo construct and validate a clinical prediction model for diabetic kidney disease （DKD） based on optical coherence tomography angiography （OCTA）. MethodsThis study enrolled 567 diabetes patients. The random forest algorithm as well as logistic regression analysis were applied to construct the prediction model. The model discrimination and clinical usefulness were evaluated by receiver operating characteristic curve （ROC） and decision curve analysis （DCA）， respectively. ResultsThe clinical prediction model for DKD based on OCTA was constructed with area under the curve （AUC） of 0.878 and Brier score of 0.11. ConclusionsThrough multidimensional verification， the clinical prediction nomogram model based on OCTA allowed for early warning and advanced intervention of DKD.

Objective:To analyze the epidemiological characteristics of norovirus (NoV) acute gastroenteritis (AGE) outbreaks caused by GII.17[P17] variant in China, 2022.Methods:Information and specimens of AGE outbreaks between January and December 2022 were collected. NoV RNA was detected in all specimens by real-time RT-PCR. The viral genome of the positive specimens were amplified, sequenced and analyzed.Results:Between January and December 2022, 360 AGE outbreaks were reported cumulatively, of which 266 outbreaks successfully obtained genotype results. GII.17 [P17] was one of the main genotypes and detected in 34 outbreaks (12.78%, 34/266), with the highest number of outbreaks detected in spring (6 outbreaks in March and 7 outbreaks in May), mainly in childcare facilities and primary schools (61.76%, 21/34). According to the result of NoV genotype analysis in different age groups, 14 strains of GII.17 [P17] in this study belonged to Cluster III b and SC III branch of Cluster III (Kawasaki308) in the capsid region and polymerase region, respectively, and both belonged to the same cluster as the variant strain (GZ41621 strain) that caused the NoV AGE outbreaks in China during the 2014/15 season. Compared to reference strains of Cluster I, Cluster II and Cluster III a, Cluster III b was provided with 22 amino acid mutations in VP1. The main amino acid changes in the subgroup of Cluster III b including the virus strains isolated in this study were at T294I and Q299R of antigen epitope A, an insertion mutation occurred at antigen epitope D, H353Q at the site I of the human histo-blood group antigen receptor binding site. The selection pressure analysis detected a large number of negative selection sites, indicating that negative selection plays an important role in the evolution of VP1 genes.Conclusions:GII.17 [P17] was one of the primary genotypes responsible for NoV diarrhea outbreaks in China in 2022. Phylogenetic analysis had revealed that it still belonged to the same cluster as the novel GII.17 [P17] variant (strain GZ41621) that caused NoV epidemics in China during the 2014/15 season, exhibiting minor amino acid variations at the potential epitope.

Rapid and living guidelines are those developed in response to public health emergencies in a short period of time using a scientific and standardized approach. Subsequently， they provide timely and credible recommendations for decision makers through regular and frequent updates of clinical evidence and recommendations. In this paper， we introduced the definition of rapid and living guideline as well as analyzed the basic characteristics of eight rapid and living guidelines in the field of traditional Chinese medicine （TCM） published till 2023 June， summarizing three core methodological issues in relation to how to rapidly develop guidelines， how to formulate recommendations when there is lack of evidence， and how to ensure the timeliness of guidelines. Based on the analysis of current rapid and living guidelines， it is implicated that there is necessity to carry out rapid and living guideline in the field of TCM， and the methodology of rapid integration of multivariate evidence in the field of TCM needs to be further explored； furthermore， it is necessary to further explore the obstacles of implementation of guidelines and promote timely updating， all of which provide certain theoretical references for relevant guideline developers and researchers.

In developing rapid and living guidelines of traditional Chinese medicine （TCM） in response to public health emergencies， it is important that evidence continue to be reviewed， and clinical questions and recommendations updated if necessary， due to the rapid changes in disease progression and the continuous generation of relevant research evidence. This paper proposed that the updating scope in dynamic mode should first be identified； then evidence monitoring should be carried out in four aspects， including clinical research， related guidelines or laws and regulations， disease progression， as well as clinical use of recommendations and clinical needs； finally， based on the results of the evidence monitoring， different options should be made， including revising the clinical questions， updating the evidence and recommendations， and withdrawing the guideline.