ArticleTrends in molecular medicine2016
Our Mothers' Antibodies as Guardians of our Commensals.
Article in Trends in molecular medicine, 2016. 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
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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.
The trial behind it
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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed, 5 citations in OpenAlex.
- A sensitive scoring system for the longitudinal clinical evaluation and prediction of lethal disease outcomes in newborn mice.Scientific reports · 2019Article
Corrections and comments
- Comment on
Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Mucosal secretory IgA protects the mammalian body from invasion of commensal bacteria colonizing the intestine. A recent murine study in Cell shows that commensal-specific antibodies of the IgG isotype are also present in the serum and that maternal commensal-specific IgA and IgG are crucial for maintaining host-microbe mutualism in the offspring.
Indexed as
Identifiers
What OpenQuestion holds
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.