Yohei Okada

PROSPERO (identifier CRD42019139265).

p51(p63), a member of the p53 tumor suppressor gene family, generates multiple isoforms, including the potent and less potent transactivators p51A(TAp63gamma) and p51B(TAp63alpha), respectively, the latter poorly characterized for its protein features and functions. When constitutively expressed in 1-2-3 mouse erythroleukemic cells, p51B(TAp63alpha) appeared as a broad band with an approximate molecular mass of 85 kDa in Western blot. When cells were exposed to genotoxic stress by UV-C irradiati

Mammalian gonadotropin-releasing hormone (GnRH) I is the neuropeptide that regulates reproduction. In recent years, a second isoform of GnRH, GnRH II, and its highly selective type II GnRH receptor were cloned and identified in monkey brain, but its physiological function remains unknown. We sought to determine whether GnRH II stimulates LH and FSH secretion by activating specific receptors in primary pituitary cultures from male monkeys. Dispersed pituitary cells were maintained in steroid-depl

There is substantial evidence demonstrating that the principal feedback action of androgens to decrease LH secretion in male primates, including man, is to slow the GnRH pulse generator, whereas in male rats androgens not only decrease GnRH but also suppress LH synthesis and secretion through a direct pituitary effect. Previous experiments in our laboratory revealed that testosterone (T) suppresses LH secretion and decreases alpha-subunit mRNA levels in male rat pituitary cell cultures perifused

Artificial intelligence (AI) and machine learning (ML) have potential to revolutionize emergency medical care by enhancing triage systems, improving diagnostic accuracy, refining prognostication, and optimizing various aspects of clinical care. However, as clinicians often lack AI expertise, they might perceive AI as a "black box," leading to trust issues. To address this, "explainable AI," which teaches AI functionalities to end-users, is important. This review presents the definitions, importa

In this article, we overview concepts and examples of AI and ML research in the resuscitation field. Moving forward, appropriate understanding of ML and collaboration with relevant experts will be essential for researchers and clinicians to overcome the challenges and harness the full potential of AI and ML in resuscitation.

Our experience highlights the importance of appropriate size selection for the sheath in line with the target vessel. We also recommend postoperative monitoring of limb perfusion in such cases with the use of near-infrared spectroscopy to facilitate the early detection of ischemia.

Data from large multicentre prospective registry revealed strong associations of the JCS level at the scene of injury with in-hospital mortality as well as the good discriminatory performance for this outcome.

To safely implement REBOA, the balloon catheter length should be shorter than FA-SSN and longer than FA-Xi. We believe that these anatomical landmarks are good references for safe implementation of REBOA in zone 1 without radiographic guidance.

Findings showed that the 1-month neurologic outcome in OHCA patients who converted to non-shockable rhythm at hospital arrival was very poor compared with patients who had sustained shockable rhythm. Also, patients with conversion to PEA had better neurologic prognosis than conversion to asystole.

The latent class analysis identified 3 subphenotypes with different survival outcomes and potential heterogeneity in the effects of ECPR.

Our "5A" severity scoring system could accurately predict the risk of in-hospital mortality among patients with accidental hypothermia.