Objective:To investigate the correlation between the location and volume of cerebral microbleeds (CMBs) and lacunar infarction (LI) in patients with cerebral small vessel disease (CSVD).Methods:Participants from the CSVD cohort in the Department of Neurology, Nanjing Drum Tower Hospital, the Affiliated Hospital of Medical School of Nanjing University from February 2017 to March 2019 were enrolled retrospectively. All participants underwent magnetic resonance imaging scans, standardized clinical assessment and diagnosis. AccuBrain, an automatic brain segmentation and quantification software developed by the Chinese University of Hong Kong, was used to quantitatively analyze the volume of CMBs and white matter hyperintensities (WMHs). Ordered multi-class logistic regression analysis was used to determine the independent influencing factors of LI, and then multiple linear regression analysis was used to investigate the correlation between the volume of deep or infratentorial CMBs (DI-CMBs) and the number of LI. Results:A total of 317 patients with CSVD were included in the analysis, including 214 (67.5%) in the non-LI group, 43 (13.6%) in the single LI group, and 60 (18.9%) in the multiple LI group. The comparison of the three groups showed that older age, male, smoking, drinking, history of previous stroke or transient ischemic attack (TIA), lower levels of high-density lipoprotein cholesterol, larger CMBs and WMHs volume, higher enlarged perivascular spaces (EPVS) grade might be the risk factors for LI. Ordinal multivariable logistic regression analysis showed that male (odds ratio [ OR] 2.058, 95% confidence interval [ CI] 1.084-3.909; P=0.027), previous stroke or TIA history ( OR 1.962, 95% CI 1.089-3.535; P=0.025), larger WMH volume ( OR 8.716, 95% CI 4.034-18.832; P<0.001), higher EPVS grade ( OR 1.915, 95% CI 1.292-2.839; P=0.001), larger DI-CMB volume ( OR 1.022, 95% CI 1.006-1.038; P=0.008) or more DI-CMB number ( OR 1.187, 95% CI 1.005-1.403; P=0.044) were the independent related factors of LI. Multiple linear regression analysis showed that there was a significant correlation between the volume of DI-CMB and the number of LI ( r=0.330, P<0.001). Conclusion:In patients with CSVD, there is a significant correlation between DI-CMBs and LI.

Objective:To study the status and trend of research on the relationship between diabetes and intestinal flora from 2004 to 2021 using bibliometric analysis method.Methods:Research articles related to diabetic intestinal flora from 2004 to 2021 were searched through the Science Web database. The bibliometrics software package used is R-4.0.0. The number of articles published, the country of publication, the research institution, the citation status of the journal, and the keywords were analyzed.Results:A total of 343 papers were published from 2004 to 2021, with an overall increase in the number of papers published. All references were cited 15 794 times in total, with an average of 46.05 citations per article. The literature were published in 32 countries or regions, of which China had the largest number of publications and the United States had the largest number of citations. All the works of literature involved 707 research institutes, of which Copenhagen University published the most. Six of the 10 scientific research institutes with the largest number of published articles were Chinese. All works of literature involved 1 160 keywords, which could be clustered into six categories: intestinal flora, inflammation, microbial flora, diseases, metabolism and weight loss. All the documents were mainly published in 226 journals. Among the 10 documents with the highest citation frequency, there were nine journals in the first layer of the Chinese Academy of Sciences journal classification and four documents with citation frequency greater than 500.Conclusion:The research on intestinal flora of diabetes is in its infancy, but it has developed well. The research mainly focuses on how intestinal flora affects the pathogenesis of diabetes.