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NAD⁺ & NMN
Research brief

Abstract: NMN-linked pathways and type 2 diabetes genetics across five ancestry groups

In this abstract, ten NMN-informed gene sets were tested against type 2 diabetes genetic results from five ancestry groups; all ten crossed the prespecified Z threshold in at least one group, and the authors call the findings hypothesis-generating. [1]

Automatic summary · not editorially reviewed

The key findings

  1. The study combined S-PrediXcan TWAS results from five type 2 diabetes analysis groups (African American, East Asian, European, Hispanic, South Asian) using ten NMN-informed KEGG gene sets. [1]

  2. All ten gene sets reached the prespecified absolute Stouffer Z threshold in at least one analysis group; the strongest signal was a negative fatty-acid-degradation association in the European group (Z = −9.70, permutation p = 0.0077). [1]

  3. The collapsed top-30 driver module leaned protective in the European and Hispanic groups but risk-leaning in the East Asian group; the authors call the findings hypothesis-generating. [1]

The source at a glance

Study type / format
Abstract of a transancestral transcriptome-wide association study (TWAS) enrichment analysis
Population / context
Type 2 diabetes genetic analysis groups of African American, East Asian, European, Hispanic and South Asian ancestry
Summary based on
Study abstract
Publication status
Preprint · peer-review status not confirmed
Original publication
August 13, 2026

NMN-linked gene sets tested across five ancestry groups

The abstract asks whether pathways tied to NMN-associated transcriptional rescue in aging tissues also carry genetic associations with type 2 diabetes. It used S-PrediXcan TWAS results from five type 2 diabetes analysis groups: African American, East Asian, European, Hispanic and South Asian. Ten NMN-informed KEGG gene sets were combined at tissue level with a Stouffer framework, tested for competitive enrichment by permutation, given bootstrap confidence intervals, and checked with gene-level leave-one-out influence analysis.

Supporting source [1]

Fatty-acid degradation signal and recurrent driver genes

All ten gene sets reached the prespecified absolute Stouffer Z threshold in at least one analysis group. The strongest single signal was a negative fatty-acid-degradation association in the European group (Stouffer Z = −9.70, permutation p = 0.0077). Autophagy in the African American group was the only other gene-set-by-ancestry result meeting both the absolute-Z and permutation criteria. Stage 3 found 548 unique leave-one-out-influential genes, 32 of them across at least four ancestry groups; MAP2K1 and MAPK3 were the most recurrent multi-pathway drivers, and CPT2 was directionally concordant across four groups.

Supporting source [1]

Protective-leaning module in Europeans, risk-leaning in East Asians

The collapsed top-30 driver module leaned protective in the European and Hispanic groups but risk-leaning in the East Asian group. The authors describe the results as a hypothesis-generating bridge between NMN-responsive metabolic programs and human type 2 diabetes genetics, supporting ancestry-aware, pathway-stratified evaluation of NAD+ precursors. They prioritize CPT2, MAP2K1, MAPK3 and selected trafficking genes for functional validation and biomarker development; no functional validation is reported in the abstract.

Supporting source [1]

How to interpret this

This is an abstract; the full text was not reviewed. Design details, sample sizes and follow-up are not reported here. The results are genetic association analyses described by the authors as hypothesis-generating, not evidence of cause, clinical benefit or effects of NMN in people.

Based on the study abstract; the full paper, tables and supplementary data were not reviewed.

Source & supporting passages

Read the quoted passagesIn the language of the original source
  1. Finding 1 ↑

    using 10 NMN-informed KEGG gene sets
  2. Finding 2 ↑

    Stouffer Z = −9.70 and permutation p
  3. Finding 3 ↑

    protective-leaning in the European and Hispanic groups

AI-assisted summary with linked source passages. No independent editorial or clinical review.

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