ReviewCells2026
A Theoretical Hypothesis on How Immune Cells May Transmit Acquired Traits: A Macrophage-piRNA Pathway for Transgenerational Inheritance.
Review in Cells, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Environmental exposures can influence phenotypes across generations, yet the cellular routes by which somatic stress signals reach the germline remain poorly defined. piRNAs are attractive candidates for transgenerational epigenetic inheritance because they silence transposable elements, guide chromatin regulation, carry a stabilizing 3' 2'-O-methyl modification, and participate in self-reinforcing amplification pathways, including ping-pong amplification in animals and RNA-dependent RNA polymerase (RdRP)-mediated secondary small-RNA amplification in systems such as
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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 Socratic graph.