Evidence map›Paper›PMID 42502305›Full record

ArticleCureus2026

Autophagy-Related Gene-Set Signals in the Genetic Architecture of Obsessive-Compulsive Disorder: A Hypothesis-Generating Link to Nicotinamide Adenine Dinucleotide-Associated Cellular Maintenance Biology.

Ngo Cheung

Abstract read
In one paragraph

Article in Cureus, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

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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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

1 author.

Ngo CheungPsychiatry, Cheung Ngo Medical Centre, Hong Kong, HKG.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Obsessive-compulsive disorder (OCD) remains difficult to treat in a substantial minority of patients, despite the established first-line use of exposure and response prevention, selective serotonin reuptake inhibitors, and pharmacological augmentation. This treatment gap has encouraged renewed interest in biological axes that sit outside a narrow monoamine-centered model. In this study, we asked whether transcriptional genetic signals for OCD show enrichment in cellular maintenance pathways motivated by nicotinamide mononucleotide (NMN)-associated aging biology and whether any such pathways outperform a curated antidepressant-related gene comparator. Using OCD transcriptome-wide association study (TWAS)-derived gene-level Z statistics and an absolute Z-score ranking framework, ten NMN-motivated Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway expansions were compared against AntiDep_Genes. The strongest and most defensible finding in the OCD analysis was selective enrichment of KEGG_AUTOPHAGY_ANIMAL. Autophagy nominally outperformed the antidepressant comparator in the primary head-to-head test, with normalized enrichment score (NES) = 1.166, p = 0.041979, and difference in normalized enrichment score (dNES) = +0.2097. The signal persisted after removal of overlapping antidepressant-related genes, with cleaned NES = 1.1784 and p = 0.042479, and the autophagy set also showed a higher absolute Z-score distribution than AntiDep_Genes by Mann-Whitney U testing, p = 0.04717. Leading-edge overlap with the antidepressant comparator was minimal, limited to mechanistic target of rapamycin (MTOR). The OCD autophagy signal was driven by a mixture of core autophagy machinery and upstream signaling genes, including MAPK3, MAP1LC3A, PPP2CB, MAP2K1, GORASP2, BAD, ATG2A, ATG10, MAPK8, and CALCOCO2. This pattern suggests a signaling-execution module rather than a simple enrichment of canonical ATG genes alone. The result is biologically consistent with recent OCD genetic findings implicating cortical and hippocampal excitatory neurons and D1/D2 striatal medium spiny neurons, which are cell types with high synaptic and metabolic demands. These findings are best viewed as hypothesis-generating. They do not support NMN, nicotinamide adenine dinucleotide (NAD+) precursors, or autophagy modulators as OCD treatments, but they do identify autophagy and mitochondrial quality-control biology as plausible targets for future functional and stratification studies. The autophagy enrichment was nominally significant in the primary analysis but did not survive Benjamini-Hochberg false-discovery rate correction across the ten tested pathways (false discovery rate (FDR)-adjusted p = 0.41979); the findings should therefore be considered hypothesis-generating.

Indexed as

autophagycellular maintenancegenetic architecturehypothesis-generating studykegg pathway enrichmentmitophagynad+obsessive-compulsive disorderpsychiatric geneticstwas

Identifiers

PMID42502305
PMCPMC13400133

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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.