Evidence map›Paper›PMID 40950032›Full record

ArticlebioRxiv : the preprint server for biology2025

Diacylglycerol metabolism drives host-pathogen responses during enteric infection in

Xiaotong Li, Mohamed Mlih, Jason Karpac

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Xiaotong LiDepartment of Biology, Texas A&M University, College Station, TX, 77843, USA.ORCID 0000-0001-6890-2068
Mohamed MlihDepartment of Cell Biology and Genetics, College of Medicine, Texas A&M University, Bryan, TX, 77807, USA.
Jason KarpacDepartment of Biology, Texas A&M University, College Station, TX, 77843, USA.ORCID 0000-0001-9607-217X

Funding

PILOT STUDY--SUBSTRATE METABOLISM IN EXTREMELY LOW BIRTH WEIGHT INFANTSP30DK048520 · NIDDK · UNIVERSITY OF COLORADO DENVER · PI JANINE A HIGGINS · 1995 to 2026
$32.6M
Genetic Modeling of Diet, NFkB, and Metabolic InteractionsR01DK133294 · NIDDK · TEXAS A&M UNIVERSITY HEALTH SCIENCE CTR · PI KARPAC, JASON · 2022 to 2025
$1.4M
NIDDK NIH HHS P30 DK048520NIDDK NIH HHS R01 DK133294
6 · The paper itself

Abstract

Lipid metabolism is fundamental to cellular homeostasis, supporting energy storage, membrane architecture, and cellular signaling. Beyond these canonical roles, lipids have emerged as critical regulators of host immunity. Here, we define a lipid-driven mechanism that governs host-pathogen interactions by impacting pathogen clearance and thus infection outcomes. Exploiting Drosophila, we show that enteric infection triggers robust accumulation of neutral lipids, and specifically 1,2-diacylglycerols (DAGs), in the midgut. Disruption of DAG biosynthesis or lipid transport in midgut enterocytes (ECs) impairs lipid accumulation and reduces host survival. Conversely, dietary lipid supplementation enhances lipid storage and improves survival. Mechanistically, these lipid-dependent responses regulate defecation, thereby controlling bacterial clearance from the midgut. DAGs can act as signaling lipids that activate protein kinase C (PKC), and DAG accumulation in ECs correlates with elevated PKC activity and calcium signaling in midgut visceral muscle (VM), promoting VM contraction, midgut motility, and expulsion of pathogens via defecation. Together, our findings reveal a previously unrecognized role for DAG metabolism in shaping host defenses.

Identifiers

PMID40950032
PMCPMC12424769

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.