Arthroscopic shoulder procedures are one of the most common procedures used to restore function through minimally invasive techniques. With the demand for shoulder arthroscopic procedures comes the need for safe, effective, and efficient surgery that maximizes patient outcomes while minimizing complications. Many variables contribute to visualization in shoulder arthroscopy including vascular anatomy, blood pressure control, arthroscopic pump systems, turbulence control, epinephrine, and tranexamic acid. Furthermore, patient positioning can have a dramatic effect on visualization with both the beach chair position and lateral decubitus positioning having various strengths and weaknesses depending on the intended procedure being performed. The purpose of this review is to examine the benefits and complications reported in the literature for improving visualization in shoulder arthroscopy.

As the most pervasive epigenetic marker present on mRNAs and long non-coding RNAs (lncRNAs), N⁶-methyladenosine (m⁶A) RNA methylation has been shown to participate in essential biological processes. Recent studies have revealed the distinct patterns of m⁶A methylome across human tissues, and a major challenge remains in elucidating the tissue-specific presence and circuitry of m⁶A methylation. We present here a comprehensive online platform, m6A-TSHub, for unveiling the context-specific m⁶A methylation and genetic mutations that potentially regulate m⁶A epigenetic mark. m6A-TSHub consists of four core components, including (1) m6A-TSDB, a comprehensive database of 184,554 functionally annotated m⁶A sites derived from 23 human tissues and 499,369 m⁶A sites from 25 tumor conditions, respectively; (2) m6A-TSFinder, a web server for high-accuracy prediction of m⁶A methylation sites within a specific tissue from RNA sequences, which was constructed using multi-instance deep neural networks with gated attention; (3) m6A-TSVar, a web server for assessing the impact of genetic variants on tissue-specific m⁶A RNA modifications; and (4) m6A-CAVar, a database of 587,983 The Cancer Genome Atlas (TCGA) cancer mutations (derived from 27 cancer types) that were predicted to affect m⁶A modifications in the primary tissue of cancers. The database should make a useful resource for studying the m⁶A methylome and the genetic factors of epitranscriptome disturbance in a specific tissue (or cancer type). m6A-TSHub is accessible at www.xjtlu.edu.cn/biologicalsciences/m6ats.
Humans ; Methylation ; RNA, Messenger/metabolism* ; Neoplasms/genetics* ; Mutation