ArticleBlood2025
Novel regulators of GVHD revealed through microbiome and metabolome patterns across distinct intestinal regions.
Article in Blood, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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
6 citing papers in PubMed.
- Overconsumption of fructose aggravates acute GVHD by inducing gut dysbiosis and promoting macrophage-mediated inflammatory response.Gut microbes · 2026Article
- The Role of the Gut Microbiota in Allogeneic Hematopoietic Cell Transplantation.American journal of hematology · 2026Review
- Early fecal metabolomic profiling for predicting acute graft-versus-host disease following allogeneic hematopoietic stem cell transplantation.Scientific reports · 2026Article
- Sphingolipid metabolism and hematologic disorders: current understanding and future directions.Frontiers in physiology · 2026Review
- Intestinal stem cells as innate immune sentinels: coupling environmental sensing to epithelial adaptation.Frontiers in immunology · 2026Review
- Effect of fecal microbiota transplantation on gut microbiota functional profile in recipients of allogeneic hematopoietic cell transplantation.Gut microbes · 2025Article
Corrections and comments
- Commented on by
Authors and funding
9 authors.
Funding
Abstract
abstractMicrobial dysbiosis and metabolite changes in the gastrointestinal (GI) tract have been linked to pathogenesis and severity of many diseases, including graft-versus-host disease (GVHD), the major complication of allogeneic hematopoietic stem cell transplantation. However, published studies have only considered the microbiome and metabolome of excreted stool and do not provide insight into the variability of the microbial community and metabolite composition throughout the GI tract or the unique temporal dynamics associated with different gut locations. Because such geographical variations are known to influence disease processes, we used a multi-omics approach to characterize the microbiome and metabolite profiles of gut contents from different intestinal regions in well-characterized mouse models of GVHD. Our analysis validated analyses from excreted stool, but importantly, uncovered new biological insights from the microbial and metabolite changes between syngeneic and allogeneic hosts that varied by GI location and time after transplantation. Our integrated analysis confirmed the involvement of known metabolic pathways, including short-chain fatty acid synthesis and bile acid metabolism, and identified additional functional genes, pathways, and metabolites, such as amino acids, fatty acids, and sphingolipids, linked to GI GVHD. Finally, we validated a biological relevance for one such newly identified microbial metabolite, phenyl lactate, that heretofore had not been linked to GI GVHD. Thus, our analysis of the geographic variability in the intestinal microbiome and metabolome offers new insights into GI GVHD pathogenesis and potential for novel therapeutics.
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.