OBJECTIVETo study the genetic background of Evodia rutaecarpa by AFLP, and analyze the genetic diversity of E. rutaecarpa from different areas.

METHODE. rutaecarpa genomic DNA was extracted. The AFLP reaction system was established and AFLP primer pairs were chosen for the analysis. Forty-six individuals of E. rutaecarpa which from five provinces were analyzed by AFLP. The NTSYS-pc 2.1 software was used for cluster analysis.

RESULTSix out of the original 72 pairs of primers were optimized for the study; AFLP analysis revealed the similarity coefficient of 0.53, the samples of E. rutaecarpa var. officinalis from Zhejiang province was separated from other accessions; E. rutaecarpa var. officinalis also showed more pronounced genetic variation than the E. rutaecarpa, and strong geo-related relevance.

CONCLUSIONVariance of genetic background of E. rutaecarpa are large, AFLP analysis method can obviously identify different varieties of E. rutaecarpa, and can detect the genetic characteristics of inter-regional differences.

Amplified Fragment Length Polymorphism Analysis ; DNA, Plant ; Evodia ; classification ; genetics ; Genetic Variation ; Phylogeny

Objective:To reveal the research hotspots in hospital supply chain management in China and explore how supply chain management can facilitate the high-quality development of public hospitals.Methods:Bibliometric analysis method was employed, retrieving the Chinese literature on hospital supply chain management from 2000 to 2022 from CNKI, WeiPu, and WanFang databases. Descriptive analysis and cluster analysis of high-frequency keywords were conducted.Results:Through cluster analysis of 34 high-frequency keywords in the 1 113 Chinese literature, it was found that current research on hospital supply chain management mainly focused on 7 research hotspots: big data information systems, procurement management, risk management, refined management, inventory management, supplier management, and traceability management.Conclusions:Future research could focus on construction of hospital supply chain performance evaluation systems, digital technology-driven supply chain transformation and upgrading, enhancing hospital supply chain resilience under risks, and sustainable supply chain management.

The hippocampus plays a crucial role in learning and memory, and its progressive deterioration with age is functionally linked to a variety of human neurodegenerative diseases. Yet a systematic profiling of the aging effects on various hippocampal cell types in primates is still missing. Here, we reported a variety of new aging-associated phenotypic changes of the primate hippocampus. These include, in particular, increased DNA damage and heterochromatin erosion with time, alongside loss of proteostasis and elevated inflammation. To understand their cellular and molecular causes, we established the first single-nucleus transcriptomic atlas of primate hippocampal aging. Among the 12 identified cell types, neural transiently amplifying progenitor cell (TAPC) and microglia were most affected by aging. In-depth dissection of gene-expression dynamics revealed impaired TAPC division and compromised neuronal function along the neurogenesis trajectory; additionally elevated pro-inflammatory responses in the aged microglia and oligodendrocyte, as well as dysregulated coagulation pathways in the aged endothelial cells may contribute to a hostile microenvironment for neurogenesis. This rich resource for understanding primate hippocampal aging may provide potential diagnostic biomarkers and therapeutic interventions against age-related neurodegenerative diseases.