Objective To analyze the hotspots and developments in the field of language model-assisted artificial intelli-gence(Al)for antibody design and optimization in order to provide reference for research on development of antibodies.Methods By using CiteSpace software,hotspots of research were analyzed based on literature retrieved from the Web of Science,PubMed,and Scopus databases,focusing on three pivotal areas of research related to antibody design and optimization:the construction of pre-trained language models for antibodies,the generation of antibody sequences,and the prediction of three-dimensional structures of antibodies.In addition,this analysis reviewed the major advances in each of the specified research tasks,focusing on the delineation of similarities and differences across studies and dominating challenges in this field.Results From 2019(10 publications)to 2023(89 publications),the scale of and interest in this field kept increasing.Hotspots involved leveraging language models to assist the design or optimization of humanized,high-affinity,and highly specific antibodies.Within each research,methods were characterized by the diversity of model architectures,consistency of training data,and variations in training strategies.Challenges to the field included sparse antigen data,computational power limitations,and insufficient integration of wet and dry lab experiments.Conclusion Research in language model-assisted Al antibody design and optimization is gaining momentum and proves fruitful.However,researchers should be alert to the inadequate attention to antigen-antibody interactions and insufficient integration of experimental and computational validation,conduct more in-depth research and expand applications.

Circular RNA (circRNA) is a single-stranded circular closed RNA molecule formed from linear RNA through reverse splicing. circRNAs are stable, highly conserved, and tissue-specific. circRNAs can regulate physiological and pathological processes through various mechanisms such as formation of competing endogenous RNA and interaction with binding proteins. It has been recently revealed that circRNAs can be translated into peptides and proteins to participate in the initiation and development of cancer. circRNAs are promising diagnostic and prognostic markers for human cancers as well as potential drug targets for cancer therapy. This review summarized the research progresses related to circRNA-encoded peptides and proteins in a variety of cancers. These peptides and proteins are translated through two different mechanisms that depend on internal ribosome entry site and m6A, respectively. We also summarized the potential use of circRNA-encoded peptides and proteins in the diagnosis, treatment, prognosis and mechanistic studies of various cancers.
Humans ; Internal Ribosome Entry Sites ; Neoplasms/genetics* ; Peptides, Cyclic ; RNA/genetics* ; RNA, Circular/genetics*

BACKGROUND: Management of gastric leak after sleeve gastrectomy (SG) is challenging due to its unpredictable outcomes. We aimed to summarize the characteristics of SG leaks and analyze interventions and corresponding outcomes in a real-world setting. METHODS: To retrospectively review of 15,721 SG procedures from 2010 to 2020 based on a national registry. A cumulative sum analysis was used to identify a fitting curve of gastric leak rate. The Kaplan-Meier method and log-rank tests were performed to calculate and compare the probabilities of relevant outcomes. The logistic regression analysis was conducted to determine the predictors of acute leaks. RESULTS: A total of 78 cases of SG leaks were collected with an incidence of 0.5% (78/15,721) from this registry (6 patients who had the primary SG in non-participating centers). After accumulating 260 cases in a bariatric surgery center, the leak rate decreased to a stably low value of under 1.17%. The significant differences presented in sex, waist circumference, and the proportion of hypoproteinemia and type 2 diabetes at baseline between patients with SG leak and the whole registry population ( P = 0.005, = 0.026, <0.001, and = 0.001, respectively). Moreover, 83.1% (59/71) of the leakage was near the esophagogastric junction region. Leakage healed in 64 (88.9%, 64/72) patients. The median healing time of acute and non-acute leaks was 5.93 months and 8.12 months, respectively. Acute leak (38/72, 52.8%) was the predominant type with a cumulative reoperation rate >50%, whereas the cumulative healing probability in the patients who required surgical treatment was significantly lower than those requring non-surgical treatment ( P = 0.013). Precise dissection in the His angle area was independently associated with a lower acute leak rate, whereas preservation ≥2 cm distance from the His angle area was an independent risk factor. CONCLUSIONS Male sex, elevated waist circumference, hypoproteinaemia, and type 2 diabetes are risk factors of gastric leaks after SG. Optimizing surgical techniques, including precise dissection of His angle area and preservation of smaller gastric fundus, should be suggested to prevent acute leaks.
Humans ; Male ; Retrospective Studies ; Diabetes Mellitus, Type 2/complications* ; Obesity, Morbid ; Anastomotic Leak/epidemiology* ; Gastrectomy/methods* ; Reoperation/methods* ; Registries ; Laparoscopy/methods* ; Treatment Outcome