AIM: To analyze research hotspots and trends of artificial intelligence in diabetic retinopathy(DR)based on bibliometrics and high-impact papers.METHODS: Papers on artificial intelligence in DR research published in the Web of Science Core Collection(WoSCC)from January 1, 2012, to December 31, 2022 were retrieved. The data was analyzed by CiteSpace software to examine annual publication number, countries, institutions, source journal, research categories, keywords, and to perform an in-depth analysis of high-impact papers.RESULTS: A total of 1 009 papers on artificial intelligence in DR from 79 countries were included in the study, with 272 papers published in 2022. Notably, China and India contributed 287 and 234 papers, respectively. The United Kingdom exhibited a centrality score of 0.31, while the United States boasted an impressive H-index of 48. Three prominent institutions in the United Kingdom(University of London, Moorfields Eye Hospital, and University College London)and one institution in Egypt(Egyptian Knowledge Bank)all achieved a notable H-index of 14. The primary academic disciplines associated with this research field encompassed ophthalmology, computer science, and artificial intelligence. Burst keywords in the years 2021～2022 included transfer learning, vessel segmentation, and convolutional neural networks.CONCLUSION: China emerged as the leading contributor in terms of publication number in this field, while the United States stood out as a key player. Notably, Egyptian Knowledge Bank and University of London assumed leading roles among research institutions. Additionally, IEEE Access was identified as the most active journal within this domain. The research focus in the field of artificial intelligence in DR has transitioned from AI applications in disease detection and grading to a more concentrated exploration of AI-assisted diagnostic systems. Transfer learning, vessel segmentation, and convolutional neural networks hold substantial promise for widespread applications in this field.

Fatigue refers to the manifestation of disorders in the process of carrying out or maintaining random activities， which can be regarded as an independent disease or as a symptom in a variety of chronic diseases. The high incidence of fatigue has seriously affected people's physical and mental health， and the prevention and treatment of fatigue has become an important problem to be solved urgently. The pathogenesis of fatigue mainly includes energy consumpation， accumulation of metabolites， abnormal secretion of neurotransmitters， decline of mitochondrial function， dysfunction of hypothalamus pituitary adrenal axis， etc. At present， there is no unified understanding about the pathogenesis of fatigue at home and abroad. The gene research of fatigue is the current research frontier. Gene expression profiling provides a new method for the study of the mechanism of fatigue. The combination of gene chip technology and traditional Chinese medicine（TCM） theory is expected to bring a breakthrough in the study of the pathogenesis of fatigue. In the study of fatigue gene chip， messenger RNA（mRNA） and microRNA（miRNA） are the common research objects， but few explorations are focused on the gene expression rule of fatigue by a specific signaling pathway and the effective regulation targets of TCM for treating fatigue. In recent years， the dysfunction of reward and inhibition mechanism in the central nervous system has become a research hotspot. In particular， gamma amino butyric acid （GABA） and dopamine （DA） have attracted much attention as the main substances of inhibition and reward mechanism， respectively. GABA and DA are used as inhibition and reward mechanisms to maintain the balance， and the body will not feel fatigue. Once the balance is broken， the fatigue will be formed. At the same time， DA and GABA receptors can also regulate cyclic adenosine monophosphate signaling pathway（cAMP） to affect fatigue. The research on key genes in GABA/DA balance mechanism and related cAMP signaling pathway by gene chip technology is expected to reveal the pathogenesis of fatigue in depth. The gene chip method is used to detect the changes of key genes in GABA/DA pathway and the related cAMP signaling pathway in the fatigue population and the normal population， so as to further explore the pathogenesis of fatigue. In this paper， the key genes in GABA/DA balance mechanism and cAMP signaling pathway related to fatigue were summarized by using the review method， so as to provide the basis for further study on the pathogenesis of fatigue and effective prevention and treatment from the perspective of genetics.

OBJECTIVE: To investigate the expression of CD123 in patients with acute myeloid leukemia (AML) and its relationship between clinical features, concomitant fusion gene or gene mutation, efficacy and prognosis. METHODS: 365 patients with newly diagnosed AML (except M3) treated in the First Affiliated Hospital of Zhengzhou University were enrolled and retrospective analysis, and multi-parameter flow cytometry was performed to detect the expression of CD123 in myeloid leukemia cell population. CD123≥20% was defined as positive. Clinical features, concomitant fusion gene or gene mutation, efficacy and prognosis of CD123 RESULTS: The positive rate of CD123 in 365 newly diagnosed AML patients was 38.9%. Compared with the CD123 CONCLUSION CD123 positive indicates that AML patients have higher tumor burden and are more difficult to reach remission. It is an independent risk factor for OS and EFS in patients with normal karyotype and intermediate risk, which is important to evaluate the prognosis of patients with AML without specific prognostic marker.
Humans ; Interleukin-3 Receptor alpha Subunit ; Karyotype ; Leukemia, Myeloid, Acute/genetics* ; Mutation ; Patients ; Prognosis ; Retrospective Studies

Bronchial asthma is a common chronic respiratory disease, which is involved in a variety of cells and cellular components. In 2019, the guidelines for the diagnosis and treatment of asthma issued by the Global Initiative for Asthma (GINA) Committee put forward the concept of type 2 inflammatory asthma for the first time. The updated evolution of GINA guidelines has promoted the development of biological agents and disease treatment, providing effective prevention and treatment for patients with severe asthma and improving disease outcome. This paper expounds the disease mechanism and management suggestions of type 2 inflammatory asthma in GINA guidelines, and analyzes the relevant clinical studies on targeted treatment of type 2 inflammatory asthma in recent years, in order to provide reference for in-depth understanding of level 3 prevention and management of patients with type 2 inflammatory asthma.
Humans ; Asthma/prevention & control*

Bronchial asthma is a common chronic respiratory disease, which is involved in a variety of cells and cellular components. In 2019, the guidelines for the diagnosis and treatment of asthma issued by the Global Initiative for Asthma (GINA) Committee put forward the concept of type 2 inflammatory asthma for the first time. The updated evolution of GINA guidelines has promoted the development of biological agents and disease treatment, providing effective prevention and treatment for patients with severe asthma and improving disease outcome. This paper expounds the disease mechanism and management suggestions of type 2 inflammatory asthma in GINA guidelines, and analyzes the relevant clinical studies on targeted treatment of type 2 inflammatory asthma in recent years, in order to provide reference for in-depth understanding of level 3 prevention and management of patients with type 2 inflammatory asthma.
Humans ; Asthma/prevention & control*

Objective To assess the feasibility of the rbcL sequence of chloroplast DNA as a genetic marker to identify Cannabis sativa L. Methods The rbcL sequences in 62 Cannabis sativa L. samples, 10 Humulus lupulus samples and 10 Humulus scandens DNA samples were detected, and 96 rbcL sequences of the Cannabaceae family were downloaded from Genbank. Sequence alignment was performed by MEGA X software, the intraspecific and interspecific Kimura-2-Parameter （K2P） genetic distances were calculated, and the system clustering tree was constructed. Results The rbcL sequence length acquired by sequencing of Cannabis sativa L. and Humulus scandens were 617 bp and 649 bp, respectively, and two haplotypes of Cannabis sativa L. were observed in the samples. The BLAST similarity search results showed that the highest similarity between the sequences acquired by sequencing and Cannabis sativa L. rbcL sequences available from Genbank was 100%. The genetic distance analysis showed that the maximum intraspecific genetic distance （0.004 9） of Cannabis sativa L. was less than the minimum interspecific genetic distance （0.012 9）. The results of median-joining network and system clustering tree analysis showed that Cannabis sativa L. and other members of the Cannabaceae family were located in different branches. Conclusion The rbcL sequence could be used as a DNA barcode for identifying Cannabis sativa L., and combined with comparative analysis of the rbcL sequence and system cluster analysis could be a reliable and effective detection method for Cannabis sativa L. identification in forensic investigation.
Cannabis/genetics* ; Genetic Markers ; Sequence Analysis, DNA

Transparency Ecosystem for Research and Journals in Medicine (TERM) working group summarized the essential recommendations that should be considered to review and publish a high-quality guideline. These recommendations from editors and reviewers included 10 components of essential requirements: systematic review of existing relevant guidelines, guideline registration, guideline protocol, stakeholders, conflicts of interest, clinical questions, systematic reviews, recommendation consensus, guideline reporting and external review. TERM working group abbreviates them as PAGE (essential requirements for Publishing clinical prActice GuidelinEs), and recommends guideline authors, editors, and peer reviewers to use them for high-quality guidelines.
Humans ; Practice Guidelines as Topic