Skin wound, a common form of skin damage in daily life, remains a serious challenge in clinical treatment. Bioactive peptides with high efficiency have been considered as potential therapeutic candidates for wound healing. In this report, a novel short linear peptide, with mature peptide sequence of ‘GLLSGINAEWPC’ and no obvious similarity with other known bioactive peptides, was identified by genomic method from the skin of odorous frog, Odorrana andersonii. Our results suggested that OA-GL12 (OA: abbreviation of species (O. andersonii), GL: two initial amino acids, 12: peptide length) obviously accelerated the scratch-healing of keratinocytes and human fibroblasts in a time- and concentration-dependent manner. Meanwhile, OA-GL12 showed significant effect in promoting the wound healing on the full-thickness skin wound model. Inflammatory assay results demonstrated that OA-GL12 induced the secretion of tumor necrosis factor (TNF) and transforming growth factor β1 (TGF-β1) on murine macrophage cell line (RAW264.7), which might explain the powerful accelerating capacity of wound healing. Moreover, results also indicated that epidermal growth factor receptor (EGFR) was involved in the mechanisms underlying the scratch-healing promoting activity of OA-GL12. In addition, OA-GL12 showed obvious free radical scavenging activity. Results supported that OA-GL12 did not exert risk in acute toxicity, hemolytic activity, and direct antibacterial activity. The remarkable effect of OA-GL12 on promoting wound healing verified in this research made it potential to be a novel template for the development of wound healing-promoting agents.

Objective: Autism Spectrum Disorder (ASD) is a serious neurodevelopmental disorder that has become the leading cause of disability in children. Artificial intelligence (AI) is a potential solution to this issue. This study objectively analyzes the global research situation of AI in the treatment of ASD from 1995 to 2022, aiming to explore the global research status and frontier trends in this field.Methods: Web of Science (WoS) and PubMed databese were searched for Literature related to AI on ASD from 1995 to April 2022. CiteSpace, VOSviewer, Pajek and Scimago Graphica were used to analyze the collaboration between countries/institutions/authors, clusters and bursts of keywords, as well as analyses on references.Results: A total of 448 literature were included, the total number of literature has shown an increasing trend. The most productive country and institution were the USA, and Vanderbilt University. The authors with the greatest contributions were Warren, Zachary, Sakar, Nilanjan and Swanson, Amy. the most prolific and cited journal is Journal of Autism and Developmental Disorders, the highest cited and co-cited articles were Dautenhahn (Socially intelligent robots: dimensions of human-robot interaction 2007) and Scassellati B (Robots for Use in Autism Research 2012). “Artificial Intelligence”, “Brain Computer Interface” and “Humanoid Robot” were the hotspots and frontier trends of AI on ASD.Conclusion: The application of AI in the treatment of ASD has attracted the attention of researchers all over the world. The education, social function and joint attention of children with ASD are the most concerned issues for global researchers. Robots shows gratifying advantages in these issues and have become the most commonly used technology. Wearable devices and brain-computer interface (BCI) were emerging AI technologies in recent years, which is the direction of further exploration. Restoring social function in individuals with ASD is the ultimate aim and driving force of research in the future.

Background: Incremental advancements in artificial intelligence (AI) technology have facilitated its integration into various disciplines. In particular, the infusion of AI into medical education has emerged as a significant trend, with noteworthy research findings. Consequently, a comprehensive review and analysis of the current research landscape of AI in medical education is warranted. Objective: This study aims to conduct a bibliometric analysis of pertinent papers, spanning the years 2013‐2022, using CiteSpace and VOSviewer. The study visually represents the existing research status and trends of AI in medical education. Methods: Articles related to AI and medical education, published between 2013 and 2022, were systematically searched in the Web of Science core database. Two reviewers scrutinized the initially retrieved papers, based on their titles and abstracts, to eliminate papers unrelated to the topic. The selected papers were then analyzed and visualized for country, institution, author, reference, and keywords using CiteSpace and VOSviewer. Results: A total of 195 papers pertaining to AI in medical education were identified from 2013 to 2022. The annual publications demonstrated an increasing trend over time. The United States emerged as the most active country in this research arena, and Harvard Medical School and the University of Toronto were the most active institutions. Prolific authors in this field included Vincent Bissonnette, Charlotte Blacketer, Rolando F Del Maestro, Nicole Ledows, Nykan Mirchi, Alexander Winkler-Schwartz, and Recai Yilamaz. The paper with the highest citation was “Medical Students’ Attitude Towards Artificial Intelligence: A Multicentre Survey.” Keyword analysis revealed that “radiology,” “medical physics,” “ehealth,” “surgery,” and “specialty” were the primary focus, whereas “big data” and “management” emerged as research frontiers. Conclusions: The study underscores the promising potential of AI in medical education research. Current research directions encompass radiology, medical information management, and other aspects. Technological progress is expected to broaden these directions further. There is an urgent need to bolster interregional collaboration and enhance research quality. These findings offer valuable insights for researchers to identify perspectives and guide future research directions.

Functional constipation (FC) is a common functional gastrointestinal disorder, which brings many negative impacts to the children’s daily life. Pediatric Tuina has been proved to be a potential therapy for FC. However, the evidence for its effectiveness and safety is insufficient due to the lack of high-quality study. This study aims to evaluate the efficacy and safety of pediatric Tuina for children with FC. This study is a randomized, controlled, multicentre, clinical trial. We will include 176 children with FC from five hospitals. The participants will be randomly allocated into two groups: the pediatric Tuina group and the Medilac-Vita group. This study will include a 1-week actual treatment period and a 2-week follow-up period. Primary outcomes are weekly spontaneous bowel movements and weekly complete spontaneous bowel movements. The secondary outcomes are effective rate, stool form, distress sensation, and glycerine enema rate. The assessment will be performed each week. Adverse event will be monitored in the treatment period and follow-up period. This study is designed to evaluate the efficacy and safety of pediatric Tuina for children with FC, and we hypothesize that pediatric Tuina is more effective than probiotics. It will provide reliable evidence and support for the treatment of FC by pediatric Tuina. This protocol was registered in the Chinese Clinical Trial Registry (ChiCTR2100046485).

Background: Abdominal obesity (AO) is not only a health issue, but also a serious impact on women’s work and life. The article of acupoint catgut embedding (ACE) on AO has already been accepted to be published and showed significant effect. However, whether ACE is effective for abdominally obese female with strong appetite is still unclear. Methods: This is a mixed analysis of a multicenter, double-blind, randomized controlled trial.Which was conducted in China between July 2018 and March 2020 (n = 101), while with the supplementary samples (n = 22) between April 2020 and June 2022. According to the appetite and intervention methods, 123 abdominally obese female were divided into ACE group with strong appetite (n = 27) and moderate appetite (n = 31), control (non-acupoint catgut embedding) group with strong appetite (n = 37) and moderate appetite (n = 28). Four subgroups were given a 12-week actual intervention period and a 4-week follow-up. Waist circumference (WC), appetite, body weight and BMI were applied and assessed at baseline and after 6, 12 and 16 weeks. Results: In this study, the mean onset age of abdominal obesity in females was 25.27 (8.19) years old. The longer duration of AO, the lower the appetite in females (p< 0.05). At 12 and 16 weeks, ACE group with strong appetite showed significant decrease in WC and appetite than control group with strong appetite (p< 0.01). However, ACE group with moderate appetite showed no significant decrease than control group with moderate appetite in WC, appetite, body weight and BMI (p> 0.05). At 12 and 16 weeks, there was no significant difference in appetite between the ACE groups (strong and moderate appetite)(p> 0.05), while there was still a difference between the control groups (p< 0.05). Conclusion: Younger abdominally obese female had a stronger appetite. ACE own the remarkable therapeutic effects for younger abdominally obese female and showed the perfect effect on appetite-reduction.

Vascular aging is the pathological basis for the aging of various organ systems in the human body and is a common pathogenesis leading to the development of atherosclerosis, Alzheimer's disease, and other conditions among older adults. Aging is characterized by accelerated pulse wave velocity, thickening of the carotid artery intima-media, and decreased vascular dilation function. Signaling pathways such as mTOR, AMPK, NF-κB, Klotho, SIRT, and other key proteins are likely involved in these processes. The detection of biomarkers related to vascular aging, including senescence-associated β-galactosidase, endothelial progenitor cells, circulating endothelial microparticles, and exosomal miRNAs, aids in assessing vascular status and prognosis. Repairing endothelial injury, reducing oxidative stress-inflammatory responses, and restoring mitochondrial and telomere functions are reliable measures to counter vascular aging. In summary, research on vascular aging is the driving force that will provide rational strategies to intervene in geriatric vascular diseases and achieve the long-term goal of healthy aging.