Evidence mapPaperPMID 41294839Full record

ReviewCells2025

Losing the Filter: How Kynurenine Pathway Dysregulation Impairs Habituation.

Miguel A de la Flor, Jason C O'Connor

Abstract readReview
In one paragraph

Review in Cells, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. The neuroimmune system and cognition.Nature immunology · 2026
    Review
  3. Review
  4. Review
  5. Review
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

2 authors.

Miguel A de la FlorDepartment of Pharmacology, UT Health San Antonio, San Antonio, TX 78229, USA.ORCID 0000-0003-1530-777X
Jason C O'ConnorDepartment of Pharmacology, UT Health San Antonio, San Antonio, TX 78229, USA.

Funding

BLRD VA I01 BX003195NIGMS NIH HHS K12 GM111726NIH HHS K12 GM111726VA 5I01BX003195
6 · The paper itself

Abstract

Habituation is a fundamental form of non-associative learning that allows organisms to filter out repetitive, non-salient stimuli but declines with age. While the kynurenine pathway (KP) of tryptophan metabolism is implicated in psychiatric and neurodegenerative diseases, its role in age-related habituation deficits has been overlooked. This review proposes a systems-level framework suggesting that age-related, chronic inflammation KP dysregulation is a key driver of habituation deficits. We present evidence showing that neurotoxic metabolites from the kynurenine-3-monooxygenase (KMO)-dependent branch drive a self-reinforcing cycle of oxidative stress, excitotoxicity, and glial reactivity that destabilizes the neural circuits required for habituation. This framework redefines KP modulation as context dependent: metabolites such as kynurenic acid (KYNA), which can be disruptive when elevated in youth, may become compensatory under the oxidative load of aging. Our findings that genetic KMO deletion preserves habituation in aged and old mice provide the first direct in vivo evidence supporting this model. We propose that inhibiting the KMO branch preserves habituation not by simply altering metabolite levels but by restoring homeostatic balance across neuroimmune, redox, and plasticity networks. KMO thus emerges as a critical node for maintaining cognitive resilience, offering a therapeutic target for preserving brain function during aging.

Indexed as

Habituation, PsychophysiologicKynurenineSignal TransductionAgingAnimalsHumansKynurenine 3-MonooxygenaseMiceOxidative StressTryptophanKynurenineKynurenine 3-MonooxygenaseTryptophanaginghabituationKMOkynurenine pathwaynon-associative learning and memory

Identifiers

PMID41294839
PMCPMC12651329

What Socratic holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.