# Melatonin Biosynthesis, Receptors, and the Microbiota–Tryptophan–Melatonin Axis: A Shared Dysbiosis Signature Across Cardiac Arrhythmias, Epilepsy, Malignant Proliferation, and Cognitive Trajectories

**Authors:** Alexandre Tavartkiladze, Russel J. Reiter, Ruite Lou, Dinara Kasradze, Nana Okrostsvaridze, Pati Revazishvili, Maia Maisuradze, George Dundua, Irine Andronikashvili, Pirdara Nozadze, David Jinchveladze, Levan Tavartkiladze, Rusudan Khutsishvili, Tatia Potskhoraia

PMC · DOI: 10.3390/ijms27031361 · International Journal of Molecular Sciences · 2026-01-29

## TL;DR

The paper explores how gut microbiota, melatonin, and tryptophan interact in diseases like arrhythmias, epilepsy, cancer, and cognitive decline, suggesting a shared gut dysbiosis pattern.

## Contribution

The study identifies a unified microbiota–tryptophan–melatonin axis linking diverse diseases through gut dysbiosis and melatonin-related mechanisms.

## Key findings

- Dysbiosis in gut microbiota is consistently observed across cardiac arrhythmias, epilepsy, and cancer.
- Melatonin-binding sites on bacterial membranes were detected in a subset of cognitive cohort samples.
- Gut microbiota influences melatonin production and its downstream effects via tryptophan metabolism and SCFAs.

## Abstract

Melatonin, an indolic neuromodulator with putative oncostatic and proposed anti-inflammatory properties, primarily demonstrated in preclinical models, is produced at extrapineal sites—most notably in the gut. Its canonical actions are mediated by high-affinity GPCRs (MT1/MT2) and by NQO2, a cytosolic enzyme with a melatonin-binding site (historically termed “MT3”). A growing body of work highlights a bidirectional interaction between the gut microbiota and host melatonin. We integrated two lines of work: (i) three clinical cohorts—cardiac arrhythmias (n = 111; 46–75 y), epilepsy (n = 77; 20–59 y), and stage III–IV solid cancers (25–79 y)—profiled with stool 16S rRNA sequencing, SCFA measurements, and circulating melatonin/urinary 6-sulfatoxymelatonin and (ii) an age-spanning cognitive cohort with melatonin phenotyping, microbiome analyses, and exploratory immune/metabolite readouts, including a novel observation of melatonin binding on bacterial membranes. Across all three disease cohorts, we observed moderate-to-severe dysbiosis, with reduced alpha-diversity and shifted beta-structure. The core dysbiosis implicated tryptophan-active taxa (Bacteroides/Clostridiales proteolysis and indolic conversions) and depletion of SCFA-forward commensals (e.g., Faecalibacterium, Blautia, Akkermansia, and several Lactobacillus/Bifidobacterium spp.). Synthesised literature indicates that typical human gut commensals rarely secrete measurable melatonin in vitro; rather, their metabolites (SCFAs, lactate, and tryptophan derivatives) regulate host enterochromaffin serotonin/melatonin production. In arrhythmia models, dysbiosis, bile-acid remodelling, and autonomic/inflammatory tone align with melatonin-sensitive antiarrhythmic effects. Epilepsy exhibits circadian seizure patterns and tryptophan–metabolite signatures, with modest and heterogeneous responses to add-on melatonin. Cancer cohorts show broader dysbiosis consistent with melatonin’s oncostatic actions. In the cognitive cohort, the absence of dysbiosis tracked with preserved learning across ages, and exploratory immunohistochemistry suggested melatonin-binding sites on bacterial membranes in ~15–17% of samples. A unifying microbiota–tryptophan–melatonin axis plausibly integrates circadian, electrophysiologic, and immune–oncologic phenotypes. Practical levers include fiber-rich diets (to drive SCFAs), light hygiene, and time-aware therapy, with indication-specific use of melatonin. Our conclusions regarding microbiota–melatonin crosstalk rely primarily on local paracrine effects within the gut mucosa (where melatonin concentrations are 10–400× plasma levels), whereas systemic chronotherapy conclusions depend on circulating melatonin amplitude and phase. This original research article presents primary data from four prospectively enrolled clinical cohorts (total n = 577).

## Linked entities

- **Proteins:** MT1A (metallothionein 1A), MT2A (metallothionein 2A), NQO2 (N-ribosyldihydronicotinamide:quinone dehydrogenase 2)
- **Chemicals:** melatonin (PubChem CID 896), tryptophan (PubChem CID 1148), 6-sulfatoxymelatonin (PubChem CID 65096)
- **Diseases:** epilepsy (MONDO:0005027), cancer (MONDO:0004992)
- **Species:** Bacteroides (taxon 816), Faecalibacterium (taxon 216851), Blautia (taxon 572511), Akkermansia (taxon 239934), Lactobacillus (taxon 1578), Bifidobacterium (taxon 1678)

## Full-text entities

- **Genes:** NQO2 (N-ribosyldihydronicotinamide:quinone dehydrogenase 2) [NCBI Gene 4835] {aka DHQV, DIA6, NMOR2, QR2}
- **Diseases:** inflammatory (MESH:D007249), Cardiac Arrhythmias (MESH:D001145), Dysbiosis (MESH:D064806), -acid (MESH:D011015), Epilepsy (MESH:D004827), seizure (MESH:D012640), Cancer (MESH:D009369), stage III-IV solid (MESH:D062706)
- **Chemicals:** serotonin (MESH:D012701), lactate (MESH:D019344), SCFA (MESH:D005232), Melatonin (MESH:D008550), Tryptophan (MESH:D014364), 6-sulfatoxymelatonin (MESH:C054513)
- **Species:** Lactobacillus (genus) [taxon 1578], Homo sapiens (human, species) [taxon 9606], Bacteroides (genus) [taxon 816], Faecalibacterium (genus) [taxon 216851], Akkermansia (genus) [taxon 239934], Blautia (genus) [taxon 572511], Bifidobacterium (genus) [taxon 1678]

## Full text

_Full body text omitted from this summary view._ Fetch the complete paper as Markdown: https://tomesphere.com/paper/PMC12898085/full.md

## Figures

10 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12898085/full.md

## References

42 references — full list in the complete paper: https://tomesphere.com/paper/PMC12898085/full.md

---
Source: https://tomesphere.com/paper/PMC12898085