Animal experiments are essential tools in biomedical research, serving as a bridge between basic research and clinical trials. Systematic reviews and meta-analyses (SRs/MAs) of animal experiments are crucial methods for integrating evidence from animal experiment, which can facilitate the translation of findings into clinical research, reduce translational risks, and promote resource integration in basic research. With the continuous development of the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology, its application in SRs/MAs of animal experiments has gained increasing attention. This article first outlines the principles and specific applications of the GRADE methodology in SRs/MAs of animal experiments, including qualitative descriptive systematic reviews, meta-analyses, and network meta-analyses. It then deeply analyzes the misuse of the GRADE methodology in practice, including incorrect evidence grading, improper classification of evidence, misapplication in qualitative systematic reviews, inconsistencies between the documentation of the upgrading and downgrading process and results, and inappropriate use for making recommendations. Furthermore, this article comprehensively discusses the factors influencing the grading of evidence certainty in SRs/MAs of animal experiments, including the impact of bias risk, indirectness, inconsistency, imprecision, and publication bias on evidence downgrading, as well as the role of large effect sizes and cross-species consistency in evidence upgrading. Finally, in response to the issues discussed, improvement strategies are proposed, including further research and optimization of the GRADE methodology for SRs/MAs of animal experiments, the development of reporting guidelines tailored to the characteristics of SRs/MAs in animal experiment research, and enhanced professional training for researchers in the GRADE methodology. This article aims to improve the quality of evidence in SRs/MAs of animal experiments, strengthen their reliability in clinical decision-making, and promote the more efficient translation of findings from animal experiment research into clinical practice.

Integrating evidence from animal experiments is a critical component of biomedical research, providing essential prior information for in-depth investigations of disease mechanisms and new drug development. Animal models have played an irreplaceable role in simulating human diseases. However, the integration of evidence from animal experiments has faced numerous challenges, including insufficient emphasis, significant heterogeneity in study designs, high publication bias, and discrepancies with clinical research practices. This paper first identifies existing issues in the original research evidence from animal experiments, such as the selection and applicability of animal models, considerations in the design of experimental studies, and factors influencing the translation of animal experimental evidence. It then discusses various methods for integrating this evidence, including systematic review and meta-analysis, overview of systematic review/umbrella review, scoping review, and evidence mapping, while highlighting recent advancements in their application. Finally, the paper addresses the main challenges currently encountered in the integration of evidence from animal experiments and proposes targeted improvement strategies aimed at enhancing the efficiency of translating research outcomes into clinical practice and promoting the advancement of evidence-based medicine. By continuously optimizing original experimental research protocols and evidence integration practices, this work aims to establish a more efficient and scientific environment for the synthesis of evidence from animal experiments, ultimately contributing to clinical trials and human health.

Mechanical thrombectomy can improve the clinical outcome of patients with acute anterior circulation larger vessel occlusive stroke.However,a remarkable proportion of patients,even they have achieved a successful recanalization,still develop adverse outcomes,such as futile recanalization(FR).According to relevant literature reports,there are many factors that can affect futile recanalization.In this paper,a series of factors such as age,recanalization time,infarct volume,baseline severity,blood pressure that may affect futile recanalization of mechanical thrombectomy in patients with inanterior circulation large vessel occlusion will be comprehensively described and analyzed.(J Intervent Radiol,2024,33:321-324)

Objective:To identify the development trajectories of self-neglect behavior in older adults and explore the associated influencing factors.Methods:A fixed cohort was constructed based on the data from three surveys of Chinese longitudinal healthy longevity survey (CLHLS) from 2011 to 2018. A total of eight variables from 4 dimensions including living environment, lifestyle, social interaction, and health care were selected to evaluate self-neglect. Group-based trajectory model was used to identify the development trajectory of self-neglect behavior in the older adults, and polynomial Logistic regression model was used to explore its influencing factors by Stata 16.1.Results:Finally, 2 754 older adults aged 60 and above were included.The development trajectory of self-neglect behavior in older adults, based on the group-based trajectory model, can be classified into stable-low group ( n=268, 9.7%), descending-moderate group ( n=2 224, 80.8%), and decreasing-high group ( n=262, 9.5%). Polynomial Logistic regression showed that, compared with stable-low group, living in rural areas ( B=1.116, OR=3.053, 95% CI= 2.278-4.091) and higher activities of daily living scores( B=0.137, OR=1.147, 95% CI=1.046-1.258) were the risk factors of descending-moderate group. Education levels with 1-6 years( B=-0.398, OR=0.672, 95% CI=0.469-0.963), >6 years( B=-1.072, OR=0.342, 95% CI=0.229-0.513), being married( B=-0.476, OR=0.621, 95% CI=0.444-0.870), self-reported good health( B=-0.808, OR=0.446, 95% CI= 0.213-0.932), improved health status( B=-0.704, OR=0.495, 95% CI=0.320-0.766), self-reported average economic status( B=-1.065, OR=0.345, 95% CI=0.148-0.802), self-reported good economic status( B=-1.634, OR=0.195, 95% CI=0.082-0.467), and a higher cognition score( B=-0.142, OR=0.867, 95% CI=0.798-0.942) served as protective factors of descending-moderate group. In addition to the above factors, being in the age group of 75-89 years( B=0.481, OR=1.617, 95% CI=1.057-2.473) was a risk factor for decreasing-high group compared to stable-low group. Conclusions:Three types of self-neglect behavior trajectories among older adults were identified in this study, suggesting that physical health and economy are the influencing factors of the development trajectory of self-neglect of the elderly.

To monitor and analyze the molecular variation of the H3N2 influenza virus in Guangzhou during the COVID-19 pandemic, respiratory samples of influenza-like cases from influenza monitoring sentinel hospitals were collected from influenza monitoring sentinel hospitals for virus isolation and whole genome sequencing. The results showed that during COVID-19, there was only one peak of H3N2 influenza in the second quarter of 2022 in Guangzhou (the positive rate was 52.23%), and the epidemic intensity and duration were both higher than those in 2019. The HA gene and NA gene of the epidemic strain in Guangzhou in 2022 belonged to the 3C.2a1b. 2a. 1a. 1 branch, which had a good antigenic site matching with the vaccine strain (A/Cambodia/e0826360/2020) from 2021 to 2022 and had no antigen drift. In 2022 strains, the variation of antigen determinant mainly occurred in the I48T of C region, while no variation occurred in the A, B, D, and E regions. The binding site of the HA protein receptor was consistent with the vaccine strain (A/Cambodia/e0826360/2020). Most of the strains in 2022 carried 13 glycosylation sites on the HA protein, but an outbreak of strains caused a loss of glycosylation sites at 24-NST. In conclusion, the strains that caused the epidemic of H3N2 influenza in Guangzhou in 2022 were not evolved or transmitted from the local strains in 2019 during the COVID-19 pandemic.

Objective:To identify a novel reassortant H3N2 avian influenza virus using nanopore sequencing technology and analyze its genetic characteristics.Methods:The positive samples of the H3N2 avian influenza virus, collected from the external environment in the farmers' market of Guangzhou, were cultured in chicken embryos. The whole genome was sequenced by targeted amplification and nanopore sequencing technology. The genetic characteristics were analyzed using bioinformatics software.Results:The phylogenetic trees showed that each gene fragment of the strain belonged to the Eurasian evolutionary branch, and the host source was of avian origin. The HA gene was closely related to the origin of the H3N6 virus. The NA gene was closely related to the H3N2 avian influenza virus from 2017 to 2020. The PB1 gene was closely related to the H5N6 avian influenza virus in Guangxi Zhuang Autonomous Region and Fujian Province from 2016 to 2022 and was not related to the PB1 gene of the H5N6 avian influenza epidemic strain in Guangzhou. The other internal gene fragments had complex sources with significant genetic diversity. Molecular characteristics indicated that the strain exhibited the molecular characteristics of a typical low pathogenic avian influenza virus and tended to bind to the receptors of avian origin. On important protein sites related to biological characteristics, this strain had mutations of PB2-L89V, PB1-L473V, NP-A184K, M1-N30D/T215A, and NS1-P42S/N205S.Conclusions:This study identified a novel reassortant H3N2 avian influenza virus by nanopore sequencing, with the PB1 gene derived from the H5N6 avian influenza virus. The virus had a low ability to spread across species, but further exploration was needed to determine whether its pathogenicity to the host was affected.

To monitor and analyze the molecular variation of the H3N2 influenza virus in Guangzhou during the COVID-19 pandemic, respiratory samples of influenza-like cases from influenza monitoring sentinel hospitals were collected from influenza monitoring sentinel hospitals for virus isolation and whole genome sequencing. The results showed that during COVID-19, there was only one peak of H3N2 influenza in the second quarter of 2022 in Guangzhou (the positive rate was 52.23%), and the epidemic intensity and duration were both higher than those in 2019. The HA gene and NA gene of the epidemic strain in Guangzhou in 2022 belonged to the 3C.2a1b. 2a. 1a. 1 branch, which had a good antigenic site matching with the vaccine strain (A/Cambodia/e0826360/2020) from 2021 to 2022 and had no antigen drift. In 2022 strains, the variation of antigen determinant mainly occurred in the I48T of C region, while no variation occurred in the A, B, D, and E regions. The binding site of the HA protein receptor was consistent with the vaccine strain (A/Cambodia/e0826360/2020). Most of the strains in 2022 carried 13 glycosylation sites on the HA protein, but an outbreak of strains caused a loss of glycosylation sites at 24-NST. In conclusion, the strains that caused the epidemic of H3N2 influenza in Guangzhou in 2022 were not evolved or transmitted from the local strains in 2019 during the COVID-19 pandemic.

Background::Although some well-established oncogenes are involved in cancer initiation and progression such as prostate cancer (PCa), the long tail of cancer genes remains to be defined. Goosecoid ( GSC) has been implicated in cancer development. However, the comprehensive biological role of GSC in pan-cancer, specifically in PCa, remains unexplored. The aim of this study was to investigate the role of GSC in PCa development. Methods::We performed a systematic bioinformatics exploration of GSC using datasets from The Cancer Genome Atlas, Genotype-Tissue Expression, Gene Expression Omnibus, German Cancer Research Center, and our in-house cohorts. First, we evaluated the expression of GSC and its association with patient prognosis, and identified GSC-relevant genetic alterations in cancers. Further, we focused on the clinical characterization and prognostic analysis of GSC in PCa. To understand the transcriptional regulation of GSC by E2F transcription factor 1 ( E2F1), we performed chromatin immunoprecipitation quantitative polymerase chain reaction (qPCR). Functional experiments were conducted to validate the effect of GSC on the tumor cellular phenotype and sensitivity to trametinib. Results::GSC expression was elevated in various tumors and significantly correlated with patient prognosis. The alterations of GSC contribute to the progression of various tumors especially in PCa. Patients with PCa and high GSC expression exhibited worse progression-free survival and biochemical recurrence outcomes. Further, GSC upregulation in patients with PCa was mostly accompanied with higher Gleason score, advanced tumor stage, lymph node metastasis, and elevated prostate-specific antigen (PSA) levels. Mechanistically, the transcription factor, E2F1, stimulates GSC by binding to its promoter region. Detailed experiments further demonstrated that GSC acted as an oncogene and influenced the response of PCa cells to trametinib treatment. Conclusions::GSC was highly overexpressed and strongly correlated with patient prognosis in PCa. We found that GSC, regulated by E2F1, acted as an oncogene and impeded the therapeutic efficacy of trametinib in PCa.

Objective:To establish a scientific and standardized evaluation index system of neonatal breastfeeding nursing quality under the state of mother-infant separation, in order to provide a tool for the detection and management of neonatal breastfeeding nursing quality under mother-infant separation, so as to promote the implementation of breastfeeding in China.Methods:A systematic and comprehensive search of Chinese and English databases was conducted to collect guidelines on neonatal breastfeeding in the state of mother-infant separation. Based on the "structure-process - result" three-dimensional quality structure model, the preliminary draft of evaluation indexes of neonatal breastfeeding nursing quality in the state of mother-infant separation was formed. The evaluation indexes of neonatal breastfeeding nursing quality in the state of mother-infant separation were constructed by Delphi expert correspondence method from July to October, 2023.Results:The effective recovery rates were 95.83% (23/24) and 91.30% (21/23), respectively. The expert authority coefficients were 0.895 and 0.870, respectively. The Kendall harmony coefficients of the whole index were 0.134 and 0.178 (both P<0.01), respectively. The final evaluation index system of neonatal breastfeeding nursing quality under the state of mother-infant separation includes 3 first-level indicators, 18 second-level indicators and 82 third-level indicators. Conclusions:The evaluation index system of neonatal breastfeeding nursing quality in the state of mother-infant separation established in this study is highly scientific and reliable, highlighting the characteristics of neonatal breastfeeding nursing work in the state of mother-infant separation, and can provide a reference for the evaluation of neonatal breastfeeding nursing quality in the state of mother-infant separation.

Objective To summarize the current research status and cutting-edge trends of the off-label drug use in China,with a view to providing reference for researchers in this field.Methods CNKI and SinoMed databases were searched to collect research of the off-label drug use in China,and used Microsoft Excel 2021,the R software Bibliometric,and VOSviewer 1.6.18 to visualize the time and trend of publication,province,issuing authors and units,journals,keywords,and topic evolution of the included studies.Results 1 475 papers were included in the research.A total of 2 808 authors from 31 provinces,cities and regions had conducted relevant studies on over-the-counter medication,with an overall increasing trend in the number of publications.Among them,Guangdong province published the most studies related to this field,the Straits Pharmacy Journal and China Pharmacy published the most studies in this field.Proprietary Chinese medicines,antimicrobials,antitumor drugs,and other drugs were the research hotspots.In addition,the patients in pediatrics,outpatient emergency,obstetrics and gynecology,psychiatry and other departments as a special sick population,the clinical use of medication exists in the overspecification situation was also a future research trend.Conclusion At present,research in this field focuses more on OLDU for special populations,special diseases,special drugs,etc.In the future,researchers should conduct evidence-based evaluation of drugs on the basis of more high-quality evidence in order to seek the best evidence for guiding the clinical use of medication.At the same time,drug administration and medical institutions should also develop standardized management policies and systems to promote the rational and safe use of medication in healthcare institutions.