ArticleClinical science (London, England : 1979)2022
Commentary on: Xbp1s-Ddit3, DNA damage and pulmonary hypertension.
Article in Clinical science (London, England : 1979), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed, 2 citations in OpenAlex.
- Senescence: Pathogenic Driver in Chronic Obstructive Pulmonary Disease.Medicina (Kaunas, Lithuania) · 2022Review
Corrections and comments
- Comment on
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this commentary, we discuss new observations stating that spliced X-box-binding protein 1 (Xbp1s)-DNA damage-inducible transcript 3 (Ddit3) promotes monocrotaline (MCT)-induced pulmonary hypertension (Jiang et al., Clinical Science (2021) 135(21), https://doi.org/10.1042/CS20210612). Xbp1s-Ddit3 is involved in the regulation of endoplasmic reticulum stress but is also associated with DNA damage repair machinery. Pathologic DNA damage repair mechanisms have emerged as critical determinants of pulmonary hypertension development. We discuss the potential relationship among Xbp1s-Ddit3, DNA damage, and pulmonary hypertension. Although Xbp1s-Ddit3 contributes to the regulation of cell proliferation and apoptosis and the development of vascular lesions, whether Xbp1s is a friend or foe remains controversial.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.