# The protein interaction of mitochondrial transcription factors A and B2 is associated with 30-day survival in critical COVID-19

**Authors:** Britta Westhus, Patrick Thon, Lars Palmowski, Katharina Rump, Björn Koos, Frederik Wiebel, Birte Dyck, Martin Eisenacher, Barbara Sitek, Stephanie Pfaender, Nina Babel, Moritz Anft, Christian Putensen, Stefan Felix Ehrentraut, Christina Weisheit, Alexander Zarbock, Thilo von Groote, Andrea Witowski, Matthias Unterberg, Hartmuth Nowak, Alexander Wolf, Lars Bergmann, Michael Adamzik, Dominik Ziehe, Tim Rahmel

PMC · DOI: 10.3389/fimmu.2025.1445403 · Frontiers in Immunology · 2025-05-16

## TL;DR

The study finds that protein interactions between mitochondrial transcription factors TFAM and TFB2M are strongly linked to survival in critically ill COVID-19 patients.

## Contribution

The study identifies TFAM-TFB2M protein interactions as a novel biomarker for predicting 30-day survival in critical COVID-19.

## Key findings

- More than 10.7 TFAM-TFB2M protein interactions per cell correlate with 74% 30-day survival.
- 10.7 or fewer interactions per cell correlate with 32% 30-day survival (p < 0.001).
- TFAM-TFB2M protein interaction is an independent predictor of 30-day survival (HR: 3.2).

## Abstract

Repair of mitochondrial damage seems pivotal for clinical recovery and determining outcome in patients with critical COVID-19. However, reliable biomarkers for non-invasively assessing mitochondrial repair in peripheral blood of critically ill COVID-19 patients are currently lacking. Accordingly, we sought to assess different surrogates of mitochondrial repair in peripheral blood and correlate these measurements with clinical outcome in patients with critical COVID-19.

In this prospective multicentric cohort study, 88 critically ill COVID-19 patients were enrolled across three German intensive care units. Gene products of mitochondrial quality control (MFN2, PINK, TFAM, TFB2M) and the mtDNA copy number were measured in peripheral blood mononuclear cells. Furthermore, the protein interactions between TFAM and TFB2M were quantified. Patients were stratified regarding 30-day mortality.

Transcript levels of the assessed mRNA markers of mitochondrial quality control were not associated with clinical outcome. In contrast, more than 10.7 protein interactions per cell were associated with a 74% 30-day survival (37 out of 50), while 10.7 or fewer protein interactions per cell were associated with a 32% 30-day survival (12 out of 38; p < 0.001). Furthermore, multivariable Cox regression analysis revealed TFAM-TFB2M protein interaction as an independent predictor for 30-day survival (HR: 3.2; 95% CI: 1.6 to 6.5; p < 0.001).

Our findings indicate that TFAM-TFB2M protein interactions, identified as a novel biomarker, are strongly and independently associated with 30-day survival in critical COVID-19. Therefore, our data suggest a significant impact of mitochondrial repair and quality control on clinical outcome in critical COVID-19.

## Linked entities

- **Genes:** MFN2 (mitofusin 2) [NCBI Gene 9927], pink (WD40 repeat domain-containing protein pink) [NCBI Gene 664344], TFAM (transcription factor A, mitochondrial) [NCBI Gene 7019], TFB2M (transcription factor B2, mitochondrial) [NCBI Gene 64216]
- **Proteins:** TFAM (transcription factor A, mitochondrial), TFB2M (transcription factor B2, mitochondrial)
- **Diseases:** COVID-19 (MONDO:0100096)

## Full-text entities

- **Genes:** MFN2 (mitofusin 2) [NCBI Gene 9927] {aka CMT2A, CMT2A2, CMT2A2A, CMT2A2B, CPRP1, HMSN6A}, TFB2M (transcription factor B2, mitochondrial) [NCBI Gene 64216] {aka Hkp1, h-mtTFB, h-mtTFB2, hTFB2M, mtTFB2}, TFAM (transcription factor A, mitochondrial) [NCBI Gene 7019] {aka MTDPS15, MTTF1, MTTFA, TCF6, TCF6L1, TCF6L2}
- **Diseases:** critically ill (MESH:D016638), COVID-19 (MESH:D000086382), mitochondrial damage (MESH:D028361)
- **Species:** Homo sapiens (human, species) [taxon 9606]

## Full text

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## Figures

4 figures with captions in the complete paper: https://tomesphere.com/paper/PMC12128609/full.md

## References

36 references — full list in the complete paper: https://tomesphere.com/paper/PMC12128609/full.md

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Source: https://tomesphere.com/paper/PMC12128609