Mitochondrial RNA stimulates beige adipocyte development in young mice

Hoang, Anh Cuong; Sasi-Szabó, László; Pál, Tibor; Szabó, Tamás; Diedrich, Victoria; Herwig, Annika; Landgraf, Kathrin; Körner, Antje; Röszer, Tamás

doi:10.1038/s42255-022-00683-w

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Published: 28 November 2022

Mitochondrial RNA stimulates beige adipocyte development in young mice

Nature Metabolism volume 4, pages 1684–1696 (2022)Cite this article

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Abstract

Childhood obesity is a serious public health crisis and a critical factor that determines future obesity prevalence. Signals affecting adipocyte development in early postnatal life have a strong potential to trigger childhood obesity; however, these signals are still poorly understood. We show here that mitochondrial (mt)RNA efflux stimulates transcription of nuclear-encoded genes for mitobiogenesis and thermogenesis in adipocytes of young mice and human infants. While cytosolic mtRNA is a potential trigger of the interferon (IFN) response, young adipocytes lack such a response to cytosolic mtRNA due to the suppression of IFN regulatory factor (IRF)7 expression by vitamin D receptor signalling. Adult and obese adipocytes, however, strongly express IRF7 and mount an IFN response to cytosolic mtRNA. In turn, suppressing IRF7 expression in adult adipocytes restores mtRNA-induced mitobiogenesis and thermogenesis and eventually mitigates obesity. Retrograde mitochondrion-to-nucleus signalling by mtRNA is thus a mechanism to evoke thermogenic potential during early adipocyte development and to protect against obesity.

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Main

Childhood obesity is a serious public health crisis today and is associated with an increased risk of adult obesity and diabetes, which is projected to affect ~58% of the world’s adult population by 2030 (refs. ^1,2,3,4). Storing fat in adipocytes is necessary for metabolic and endocrine health; however, excess fat accumulation accounts for the development of metabolic diseases^1,2,4,5,6. Infancy and early childhood (before 5.5 years of age) are critical periods that determine adipocyte number and fat accumulation, thereby also determining future obesity^7,8,9. For example, an accelerated rate of body weight gain and overweight during the first year of life and in early childhood increase the probability of obesity and obesity-associated diseases in adulthood^1,2,5,6. Signals that control adipocyte development in early postnatal life thereby have a strong potential to trigger obesity; however, these signals are still poorly understood.

The human foetus accumulates fat in subcutaneous adipose tissue depots at the last trimester, and fat becomes a relevant energy source at birth and in early postnatal life^10,11,12. The foetus has a carbohydrate-based metabolism, which shifts to lipid-rich nutrition in the form of breastfeeding or formula feeding at birth^10,11,12. The subcutaneous adipose tissue of a newborn is actively engaged in lipolysis and beta oxidation of fatty acids to generate energy^10,11,12. Mammals are homoeothermic animals; hence the foetus develops in a thermally stable environment in the womb, without the demand of investing energy into the maintenance of its own core body temperature. However, this scenario rapidly changes at birth, when the newborn is challenged with a hypothermic environment without the ability to perform shivering thermogenesis. The large energy demand of homoeothermy is covered by burning off fat as heat in the adipose tissue, in a process often called non-shivering thermogenesis or adaptive thermogenesis¹³. It is estimated that the heat produced in a human term infant is generated mostly by fat (64%) catabolism in non-shivering thermogenesis^14,15. The responsible thermogenic adipocytes produce heat from uncoupled oxidative phosphorylation in their extensive mitochondrial network, using lipids as metabolic fuel^12,16. Thermogenic adipocytes are distributed in the subcutaneous fat depots of a newborn¹⁷ and are still detectable in early childhood^12,16. By contrast, adult humans have shivering thermogenesis, and subcutaneous adipose tissue depots function as thermal insulators and long-term storage sites of fat¹⁷. Adipocytes of subcutaneous fat depots in adults are therefore poor in mitochondria and accumulate lipids instead of metabolizing them to energy or heat¹⁸.

Thermogenic adipocytes in human subcutaneous adipose tissue progressively disappear by the age of 5–7 years, when adipose tissue expansion occurs as a physiological process^1,2,7. Subcutaneous fat depots of young mice are rich in thermogenic adipocytes, which disappear by weaning age¹⁶. This trait of young mice resembles the development of thermogenic fat cells in humans, making them suitable models to study mechanisms of early-life human adipocyte development. Recent studies suggest that premature loss of thermogenic fat cells is associated with early onset of adipose tissue expansion, and these two factors together may lead to childhood obesity^1,2,7,12,16. It is plausible that delaying or reverting the metabolic shift from fat catabolism and thermogenesis to fat storage has therapeutic potential in obesity prevention^1,2,12,16.

The conversion of fat into energy and heat requires an extensive mitochondrial network^19,20, and, accordingly, adipocytes of the subcutaneous adipose tissue are rich in mitochondria in early postnatal life^10,15. However, the abundance of mitochondria is associated with a potentially inflammation-provoking efflux of mtDNA to the cytosol²¹. Due to its endosymbiotic origin, mtDNA resembles prokaryote-type DNA and eventually triggers an IFN response^22,23,24,25. Obese adipocytes produce IFNs, and IFNs eventually trigger metabolic diseases^26,27. IFNs may damage the mitochondrial network and the capacity for fat oxidation and thermogenesis and trigger metabolic inflammation and insulin resistance^28,29. It has been shown that activation of the stimulator of IFN-response genes (STING) pathway (a major cytosolic DNA-sensing pathway) worsens obesity and abrogates the thermogenic programme in adipocytes³⁰. In turn, inhibition of mtDNA efflux into the adipocyte cytosol effectively reduces obesity-associated inflammation and insulin resistance³¹.

The efflux of mtDNA is inevitably associated with the release of mtRNA, which contains double-stranded RNA (dsRNA) motifs, strong inducers of the IFN response^22,23,24,25. Given the abundance of mitochondria in adipocytes of young mice and human infants³², we asked whether these cells have a unique signalling mechanism that supports their mitochondrial network by mitigating the IFN response to mtRNA. While exploring this, we unexpectedly found that cytosolic mtRNA activated mitochondrion-to-nucleus signalling in adipocytes, which stimulated expression of nuclear-encoded genes of mitobiogenesis and thermogenesis in young mice and human infants. The IFN response to mtRNA was lacking in young adipocytes, plausibly due to the suppression of IRF7 by vitamin D receptor (VDR) signalling. Adult and obese adipocytes, however, expressed IRF7 strongly, and they mounted an IFN response to cytosolic mtRNA, abrogating its signalling role to stimulate mitobiogenesis and thermogenesis. In turn, when we inhibited IRF7 expression with VDR activation and transfected adipocytes with mtRNA, we could effectively induce beige adipogenesis and mitigate obesity in mice. Retrograde mitochondrion-to-nucleus signalling by mtRNA is hence a new mechanism that controls early adipocyte development and protects against obesity.

Results

Young adipocytes are immune tolerant for cytosolic mtRNA

We found that inguinal adipocytes of young mice at postnatal day 6 contained more mitochondria and higher levels of cytosolic mtRNA than their adult counterparts (Fig. 1a and Extended Data Fig. 1a), suggesting that the cytosolic mtRNA level was proportional to the amount of mitochondria. Cytosolic mtRNA, due to the abundance of its dsRNA motifs (Extended Data Fig. 1a), triggers an IFN response^{21,23,24,25,33,34} (Fig. 1b). However, transfecting young (postnatal day 6) adipocytes with mtRNA failed to induce such a response (Fig. 1c and Extended Data Fig. 1a). In turn, adipocytes of adult mice (8 weeks of age) mounted a robust IFN response to cytosolic mtRNA (Fig. 1c and Extended Data Fig. 1a).

**Fig. 1: mtRNA does not trigger inflammation in young adipocytes.**

There are controversial findings about the effect of IFNs on mitochondrial energy and heat production^35,36,37,38. To test the effect of IFN-β on adipocyte mitochondria, we cultured subcutaneous adipocytes of adult mice and non-obese, non-diabetic humans (age range, 16–17 years) and subjected them to IFN-β treatment. We used IFN-β at a concentration corresponding to the level of IFN-β secreted by adult mouse adipocytes in response to mtRNA transfection (Extended Data Fig. 1a). We found that IFN-β triggered mitochondrial damage and adipocytes exhibited signs of mitophagy (Fig. 1d and Extended Data Fig. 1b). IFN-β compromised mitochondrial mass (Fig. 1e) and reduced the level of the mitochondrial enzymes cyclooxygenase I (COX-I) and succinate dehydrogenase A (SDH-A) in both mouse and human adipocytes (Fig. 1f). Moreover, IFN-β treatment supported fat accumulation in preadipocytes (Fig. 1g). Coherently, hypertrophic human adipocytes had robust IFN-β expression (Fig. 1h). These effects of IFN-β on mitochondria³⁷ and the robust expression of IFN-β by hypertrophic adipocytes agree with the findings that obesity development is associated with prominent expression of IFNs and IFN-stimulated genes (ISGs) in adipocytes^29,31.

It is known that cytosolic mtRNA triggers Ifnb (Ifnb1) expression through cytosolic RNA sensors such as retinoic acid-inducible gene I (RIG-I) and RIG-I-like melanoma differentiation-associated protein 5 (MDA5)²⁴. Accordingly, transfecting adult adipocytes with a synthetic ligand of cytosolic RNA sensors, so-called poly(deoxyadenylic-deoxythymidylic) acid (poly(dA:dT))³⁹, increased Ifnb transcription to the same magnitude as cytosolic mtRNA (Fig. 1i). Cytosolic poly(dA:dT) is transcribed into RNA by the activity of RNA polymerase III, allowing stimulation of cytosolic RNA sensors³⁹ (Extended Data Fig. 1c). Furthermore, cytosolic poly(dA:dT) mimicked the effect of IFN-β on adipocyte mitochondria in mice and humans (Fig. 1j,k). Conversely, an IFN-β-blocking antibody protected both mouse and human adipocytes from poly(dA:dT)-induced mitochondrial damage and slightly increased the levels of COX-I and SDH-A (Fig. 1j,k).

Importantly, neither cytosolic mtRNA (Fig. 1c) nor cytosolic poly(dA:dT) induced Ifnb transcription in young mouse adipocytes (Fig. 1l). Coherently, young mouse adipocytes were protected from mitochondrial damage induced by cytosolic poly(dA:dT) (Fig. 1m). This difference could not be explained by the absence of MDA5 or RIG-I in young adipocytes or by the inability of young adipocytes to be transfected with poly(dA:dT) (Extended Data Fig. 1c–f).

When we transfected adipocytes from human infants (aged 0–1 year), children (2–11 years) and adolescents (15–17 years) with poly(dA:dT), we found that adipocytes of infants and children were resistant to mitochondrial damage (Fig. 1n), similar to the adipocytes of young mice. Indeed, adipocytes of infants, similar to adipocytes of young mice, increased their COX-I and SDH-A levels following poly(dA:dT) transfection (Fig. 1m,n). In adipocytes of adolescents, however, cytosolic poly(dA:dT) reduced COX-I and SDH-A levels (Fig. 1n), mirroring poly(dA:dT) effects on adult mouse adipocytes (Fig. 1m).

Young adipocytes have suppressed IRF7 expression

Transcription of Ifnb is initiated by IRF3 and IRF7, which trigger the IFN response by forming homodimers or heterodimers^40,41. Accordingly, the absence of adipocyte Irf3 or Irf7 was equally protective from mitochondrial damage in response to cytosolic poly(dA:dT) (Fig. 2a).

**Fig. 2: IRF7 is key for the IFN response to cytosolic mtRNA in adipocytes.**

We next measured transcription of Irf3 and Irf7 in adipocytes of young and adult mice. The transcript levels of Irf3 were similar in young and adult adipocytes; however, the level of Irf7 was magnitudes higher in adult adipocytes than in their young counterparts (Fig. 2b and Extended Data Fig. 2a). In adult adipocytes, IRF7 appeared in the cytoplasm and in the nucleus, and, upon stimulation, IRF7 translocated to the nucleus and become phosphorylated (Extended Data Fig. 2b–e). In children, the adipose tissue level of IRF7 mRNA was strongly increased by overweight and obesity (body mass index standard deviation score over 1.28), while the level of IRF3 mRNA was unrelated to obesity status (Fig. 2c). Accordingly, hypertrophic human adipocytes strongly expressed IRF7 protein (Fig. 2d), along with IFN-β (Fig. 1h). This is in agreement with previous findings suggesting that IRF3 is expressed constitutively, whereas IRF7 is an ISG⁴². The association of IRF7 expression with IFN-β⁺ hypertrophic adipocytes further supports this idea. Neutralizing IFN-β mitigated IRF7 protein expression in adipocytes in vitro (Extended Data Fig. 2f).

IRF7 plays a major role in the induction of the IFN response, even in the absence of IRF3. In turn, the IRF3-mediated IFN response remains minimal without the presence of even low amounts of IRF7 (ref. ⁴²), underscoring the fact that IRF7 deficiency of young adipocytes is plausibly responsible for the lack of IFN response to mtRNA. Nevertheless, the importance of IRF7 in the regulation of IFN-β expression may depend on the immune context and the cell type^41,43; thus we continued to define a possible role of IRF7 in the IFN response of adipocytes.

When we surveyed the transcriptional landscape of young and adult mouse inguinal adipocytes using next-generation sequencing (NGS), we found that an extensive, IRF7-associated gene network was strongly over-represented in adult adipocytes (Fig. 2e and Extended Data Fig. 2g). This gene network contained ISGs, genes encoding inflammasome components and IFNs (Fig. 2e). The most over-represented genes of this IRF7-associated network were Aim2, Ddx41, Zbp1 and Ifi205, all of which are essential for the IFN response (Fig. 2f).

In brief, Aim2 encodes the IFN-inducible protein absent in melanoma 2 (AIM2), which triggers cytosolic DNA inflammasome assembly⁴⁴ (Fig. 2f). Ddx41 encodes DEAD-box helicase 41 (DDX41), which recognizes cytosolic B-DNA and stimulates the IFN response (Fig. 2f). Zbp1 encodes Z-DNA-binding protein 1 (ZBP1), also termed DAI⁴⁵, which recognizes cytosolic Z-DNA (Fig. 2f), a prevalent form of DNA in the cytosol of transcriptionally active cells⁴⁶. Ifi205 encodes IFN-γ-inducible protein 205 (IFI205), the murine equivalent of the human IFI16 protein⁴⁴, which recognizes cytosolic B-DNA and stimulates the IFN response (for details of the mouse strain-specific nomenclature of this protein, see Extended Data Fig. 2h)^40,41.

The increase in the expression of this IRF7-associated gene network was confined to adipocytes (Fig. 2g) and was lacking in other cell types and organs that we tested (Extended Data Fig. 2i–k). Consistently, the AIM2, DDX41, IFI205 and ZBP1 proteins were minimally expressed in young adipocytes (Fig. 2h). In turn, AIM2, DDX41, IFI205 and ZBP1 were present in the perinuclear region and in the cytoplasm of adult adipocytes, coherent with their known role in monitoring specific subcellular compartments (Fig. 2h)^45,47. Induced transcription of Aim2, Ddx41, Zbp1, Ifi205 and Irf7 was dependent on IRF7 (Fig. 2i), and coherently, the promoter regions of these genes contained IRF7-binding sequences (Extended Data Fig. 2l). The levels of IRF7-associated ISG-encoding transcripts, including IFI16, ZBP1 and TMEM173 (STING1), were increased in the adipose tissue of children with obesity (Fig. 2k), reflecting their elevated IRF7 levels (Fig. 2c).

It is intriguing that the main function of this IRF7-associated gene network is to initiate the IFN response to cytosolic DNA, rather than to cytosolic dsRNA⁴⁸. Consistently, cytosolic DNA failed to trigger an IFN response in young adipocytes (Fig. 2j) and in adipocytes lacking IRF7 expression (Extended Data Fig. 2m). As mtRNA efflux is inevitably associated with the escape of mtDNA to the cytosol²¹, this finding suggests that young adipocytes may be protected from an immune response to mtDNA, a known mechanism triggering obesity and obesity-induced metabolic diseases³¹.

Altogether, these findings indicate that young adipocytes are protected from an immune response to cytosolic mtRNA. This immune tolerant state was concomitant with the suppression of IRF7-controlled genes of the IFN response.

Suppressed IRF7 signalling favours beige adipogenesis

To further elucidate the role of IRF7 in adipocyte development, we analysed the subcutaneous adipose tissue morphology of mice lacking IRF7. In the absence of IRF7, mice had abundant beige adipocytes with strong uncoupling protein 1 (UCP1) expression, resembling the morphology of brown adipose tissue (Fig. 3a). Coherently, brown adipose tissue in adult mice was naturally deficient in Irf7 and did not respond to cytosolic poly(dA:dT) with Ifnb expression (Extended Data Fig. 3a,b), in agreement with previous findings on a suppressed innate immune response in brown adipose tissue of mice^11,49,50.

**Fig. 3: Cytosolic mtRNA induces beige adipocyte development.**

Beige adipocytes are thermogenic; thus they help to dissipate energy stored in fat and eventually reduce body fat. The abundance of thermogenic adipocytes in IRF7-deficient mice is consistent with a previous finding that IRF7-deficient mice are protected from obesity⁴³. IRF7-deficient adipocytes had increased expression of nuclear-encoded mitochondrial SDH-A (Fig. 3b), indicating increased mitobiogenesis. Moreover, adipocytes lacking IRF7 were protected from Ifnb expression triggered by cytosolic mtRNA (Fig. 3c). Of note, inguinal adipose tissue of young mice was rich in beige adipocytes, and adipocytes of young mice expressed signature genes of the thermogenic differentiation programme (Extended Data Fig. 4b–e). Adipocytes of lean children (1–4 years) were protected from IFN-β synthesis in response to cytosolic mtRNA and expressed UCP1, unlike adipocytes isolated from adolescents (16–17 years) (Fig. 3d,e and Extended Data Fig. 4f).

In summary, cytosolic mtRNA did not trigger IFN-β synthesis in young adipocytes. This trait was phenocopied by IRF7 deficiency and was associated with a thermogenic adipocyte phenotype. In mice, thermogenic fat cells were naturally deficient in IRF7, while, in humans, obesity increased the level of adipocyte IRF7.

Assuming that cytosolic mtRNA may play a role in the acquisition of the thermogenic phenotype, we next tested the effect of cytosolic mtRNA on the expression of genes required for mitochondrial thermogenesis and mitobiogenesis in young adipocytes. Cytosolic mtRNA triggered robust expression of Ucp1 and genes associated with beige adipocytes (Fig. 3f): Ppargc1a, encoding the mitobiogenesis-stimulating peroxisome proliferator-activated receptor γ coactivator 1α; Cidea, encoding cell death-inducing DFFA-like effector A; and Dio2, encoding iodothyronine deiodinase 2. In young adipocytes, these responses occurred without induction of a robust immune response (Fig. 1c), and, ultimately, cytosolic mtRNA enhanced mitobiogenesis and the mitochondrial content of the adipocytes and stimulated mitochondrial thermogenesis (Fig. 3f,g). Similarly, cytosolic mtRNA increased mitobiogenesis, mitochondrial content and thermogenesis in adipocytes isolated from lean children (Fig. 3h), effects lacking in adipocytes of adolescents (Fig. 3i).

Cytosolic mtRNA may activate signalling through RIG-I and MDA5 (refs. ^33,34). Coherently, synthetic activators of RIG-I and MDA5 triggered transcription of beige genes in adipocytes (Fig. 3j and Extended Data Fig. 5a–c), whereas cytosolic mtRNA was ineffective in inducing beige gene expression in adipocytes lacking RIG-I or MDA5 (Fig. 3j). Cytosolic single-stranded RNA or stimulation of cell membrane-associated Toll-like receptor 3 (TLR3) failed to mimic the effects of cytosolic mtRNA on beige gene transcription (Extended Data Fig. 5d,e). These findings show that only double-stranded, cytosolic RNA molecules can induce mitobiogenesis, plausibly via retrograde signalling from mitochondria to the nucleus. Provided the abundance of double-stranded motifs in mtRNA molecules, this finding further confirms the signalling role of mtRNA in the cytosol. RIG-I and MDA5 activation by mtRNA or synthetic ligands triggered Il6 expression (Extended Data Fig. 6a), which is a known autocrine–paracrine signal of thermogenic adipocyte development^16,51,52 (Extended Data Fig. 6b,c,e). Accordingly, blocking IL-6 signalling diminished the effect of mtRNA on beige adipogenesis (Extended Data Fig. 6d,f).

Notably, the absence of RIG-I or MDA5 compromised the expression of the nuclear-encoded mitochondrial SDH-A in adipocytes (Fig. 3j), suggesting that the mitochondrion-to-nucleus signalling role of mtRNA was lacking. Coherently, lack of RIG-I or MDA5 led to the loss of beige adipocytes in young mice (Fig. 3k).

Cytosolic mtRNA is, therefore, a strong inducer of beige features in young adipocytes by stimulating the expression of nuclear-encoded transcripts of mitobiogenesis and mitochondrial thermogenesis.

Vitamin D suppresses IRF7 expression in young adipocytes

Young and thermogenic adipocytes were deficient in IRF7 and were protected from the adverse IFN-β-inducing effect of cytosolic mtRNA, enabling mtRNA to act as an intracellular signalling molecule. Repression of IRF7 may be thus key to promote the metabolically beneficial effects of mtRNA-mediated signalling in adipocytes. We next aimed to explore potential mechanisms that suppress the expression of IRF7 in young adipocytes.

Our NGS analysis revealed prominent expression of VDR-controlled gene networks in young adipocytes (Fig. 4a), and VDR is known to suppress cytosolic RNA-induced IRF7 expression^53,54 and the IFN response^55,56. The transcriptional activity of VDR was confirmed by the pattern of VDR-controlled gene expression in young adipocytes (Fig. 4b). For example, the known VDR target Camp, encoding the adipose tissue-enriched antimicrobial peptide cathelicidin⁵⁷, was highly expressed in young adipocytes (Fig. 4b). By contrast, the VDR-repressed gene Coro1a had a low transcript level in young adipocytes (Fig. 4b). Coro1a encodes coronin A1, also known as tryptophan–aspartate-containing coat protein⁵⁸. Foetal adipose tissue accumulates vitamin D before birth⁵⁹, and, accordingly, the transcription of vitamin D-metabolizing enzymes favoured the storage of vitamin D3 (Vit-D3) and the synthesis of the potent VDR agonist calcitriol in young adipocytes (Fig. 4b,c).

**Fig. 4: VDR diminishes IRF7 expression in young adipocytes.**

Adipose tissue of young mice was rich in Vit-D3, and VDR protein expression was higher in young adipose tissue than in its adult counterpart (Fig. 4c). Moreover, cytosolic dsRNA and mtRNA increased transcription of the calcitriol-synthesis gene Cyp27b1 and enhanced Vit-D3–calcitriol conversion in adipocytes (Fig. 4d). Vit-D3 effectively suppressed Irf7 transcription in mouse and human adipocytes (Fig. 4e). This effect was VDR dependent, and inhibition of VDR signalling augmented mtRNA-induced Ifnb transcription (Fig. 4f). In turn, Vit-D3 abrogated Ifnb expression in mouse adipocytes in response to cytosolic mtRNA (Fig. 4g). This effect of Vit-D3 mimicked that of a potent nuclear factor (NF)-κB inhibitor (Fig. 4g). Similarly, Vit-D3 mitigated IFN-β production in human adult adipocytes in response to cytosolic mtRNA (Fig. 4g).

Obesity in early postnatal life triggers adipocyte IRF7 expression

Inhibition of VDR signalling in young mice led to the loss of beige adipocytes in adipose tissue (Fig. 4h) and increased IRF7 protein levels in adipocytes (Fig. 4i). Paediatric obesity was associated with compromised expression of VDR-controlled gene networks in the adipose tissue of children and lower expression of CYP27A1, which is involved in the initial activation of Vit-D3 (Fig. 4j). These alterations were associated with an increased IRF7 level (Fig. 2c) and the expression of IRF7-target genes (Fig. 4j). Similarly, diet-induced obesity increased the adipose tissue level of Irf7 and abrogated Vdr expression in mice (Fig. 5a). Altogether, these data show that obesity is linked to deficient VDR signalling, which is further associated with increased IRF7 expression.

**Fig. 5: Effect of cytosolic mtRNA combined with Vit-D3 treatment on diet-induced obesity.**

We next studied a mouse model of childhood obesity using newborn mice nursed by dams fed a high-fat diet (HFD) (Fig. 5b)⁶⁰. Adipocytes of the offspring of HFD-fed dams had compromised Vdr expression and robust Irf7 expression (Fig. 5c), and beige adipocytes were lacking from their subcutaneous adipose tissue (Fig. 5d). Ultimately, obesity developed in offspring, and adipocytes showed inflammasome activation, a hallmark of adipose tissue inflammation⁶¹ (Fig. 5d). Moreover, the mitochondrial network was compromised in adipocytes of young mice nursed by HFD-fed dams (Fig. 5e). In turn, Vit-D3 treatment reverted these adverse changes and protected beige adipocyte content in young mice (Fig. 5f), alleviating obesity and adipocyte inflammation (Fig. 5g).

In adult HFD-fed mice, cytosolic delivery of mtRNA into the inguinal adipose tissue depot, combined with Vit-D3 treatment, reduced Irf7 levels (and not Irf3 levels) and increased beige adipocyte content (Fig. 5h and Extended Data Fig. 7a), alleviated obesity and adipocyte inflammation and increased mitochondrial mass, thermogenesis and energy expenditure (Fig. 5h–j and Extended Data Figs. 7b,c and 8).

Discussion

Overall, our findings show that, in young adipocytes, cytosolic mtRNA stimulates expression of nuclear-encoded mitochondrial genes and promotes beige adipocyte development through the RIG-I–MDA5–interleukin (IL)-6–signal transducer and activator of transcription (STAT)3 pathway (Fig. 5k). This mitochondrion-to-nucleus signalling is effective when the immune response against cytosolic mtRNA is suppressed by VDR activation and consequently low IRF7 expression in adipocytes (Fig. 5k). These mechanisms protect against obesity by evoking thermogenic potential in adipocytes and promoting thermogenesis from stored fat (Fig. 6, Video Summary in the Supplementary Information).

**Fig. 6: Role of mtRNA signalling in young adipocytes.**

Adipose tissue inflammation is considered deleterious for metabolism^4,62; however, multiple lines of evidence implicate IL-6–Janus kinase (JAK)–STAT3 signalling in the differentiation of thermogenic adipose tissue^{16,51,52,63,64}, and an autocrine IL-6–STAT3 signalling loop is sustained by breast milk-derived lipids in the adipose tissue of newborns¹⁶. Several inflammatory signalling mechanisms that trigger obesity-associated metabolic impairment also sustain beige adipocytes^35,52,64,65. Here we report the unexpected finding that beige adipocyte development is promoted by a potentially inflammation-evoking cytosolic RNA signal released by the mitochondria of adipocytes.

The endosymbiotic origin of mitochondria has led to a metabolic co-dependence of mitochondria and host cells²². This is driven by bidirectional signalling between the nucleus and the mitochondria, as the majority of genes required for the maintenance of mitochondria are encoded in the nuclear genome. We show that, analogous to a symbiont–host interaction, efflux of mtRNA from the mitochondria activates cytosolic RNA sensors that stimulate an autocrine IL-6–STAT3 signalling loop, ultimately triggering nuclear expression of beige adipocyte genes. Noncoding RNA species of mitochondria are known to increase transcription of mitochondrial genome-encoded genes⁶⁶, and noncoding RNA signals are thought to function as mitochondrion-to-nucleus signals⁶⁷. As a comparable mechanism, we show that mtRNA species boost transcription of nuclear genome-encoded genes for mitobiogenesis and thermogenesis. This is key for mitobiogenesis as the necessary proteins are encoded in the nuclear genome²².

RIG-I and MDA5 are sensors of cytosolic mtRNA. RIG-I detects dsRNA species with or without a 5′-triphosphate end, MDA5 binds uncapped RNA, and RIG-I and MDA5 selectively recognize short and long dsRNA species, respectively^33,34. Given the prokaryote origin of mitochondria, various mtRNA species such as mitochondrial ribosomal RNA, uncapped mitochondrial mRNA and noncoding mtRNA can potentially stimulate the cytosolic RNA-sensor system^24,33,34. We found that beige adipocyte gene transcription was stimulated by RIG-I activation using cytosolic poly(dA:dT) and also by MDA5 activation using cytosolic high-molecular-weight poly(I:C) but not with cytosolic single-stranded RNA. Coherently, deficiency in RIG-I and MDA5 signalling in mice compromised mtRNA-mediated beige adipocyte development, abrogated nucleus-encoded SDH-A expression and mitobiogenesis and promoted the loss of beige adipocytes. These findings are in agreement with a recent report showing that mice lacking RIG-I are prone to obesity and obesity-associated insulin resistance⁶⁸, despite being protected from the IFN response⁶⁸.

However, the excess release of mitochondrial content activates an IFN response, which is detrimental for thermogenic fat development^28,31,69,70, increases mitochondrial permeability⁷¹, augments inflammasome activation and pyroptosis⁷², triggers obesity, mitochondrial dysfunction and the mitochondrial pathway of adipocyte apoptosis and may aggravate obesity-associated metabolic diseases^29,30,73,74. We show here that young adipocytes have suppressed the IFN response to cytosolic mtRNA due to their suppressed IRF7 expression. As IRF7 is an IFN-inducible gene product, this is in agreement with previous findings that suggest that beige adipocytes repress IFN signalling²⁸ and the expression of ISGs in adipocytes promotes obesity and adipose tissue inflammation²⁹. IRF3 and IRF7 are key transcription factors regulating ISGs; however, their role in obesity development is conflicting. Lack of IRF7 protects from diet-induced obesity⁴³, while IRF3-deficient mice develop obesity spontaneously⁷⁵. We found that Irf3 expression was similar in adipocytes of young and adult mice, while Irf7 was minimally expressed in young adipocytes. Similarly, paediatric obesity was associated with increased IRF7 expression in adipose tissue, without a significant increase in IRF3 levels. Diet-induced obesity in mice and obesity in children were associated with robust expression of genes encoding IRF7-associated pathways. This is in agreement with findings on increased expression of the IRF7-target genes AIM2 and IFI16 in type 2 diabetic obese human adipose tissue⁷⁶. Adipose tissue expansion and obesity are associated with the activation of STAT1 and NF-κB signalling, which may account for the increase in IRF7 expression during postnatal adipocyte development and in obesity^29,64,77.

We also show that suppressed Irf7 expression and mtRNA-induced Ifnb expression were associated with the thermogenic adipocyte phenotype. Inguinal adipocytes of young mice and interscapular brown adipose tissue of adult mice were deficient in IRF7 and were lacking mtRNA-induced Ifnb expression. Interscapular brown adipocytes are strongly thermogenic cells and are descendants of the Myf5⁺ lineage derived from skeletal muscle progenitors in mice^78,79,80. Primates and humans have different thermoregulatory mechanisms than those of small rodents¹⁷, and thermogenic adipocytes of a newborn human are scattered within white fat depots¹². Equivalents of these cells appear in newborn mice as well¹¹. These thermogenic fat cells are unrelated to Myf5⁺ progenitors, and they develop from progenitors of white fat cells⁷⁹. It appears that thermogenic fat cells in newborn subcutaneous tissue and in adult interscapular adipose tissue have distinct transcriptional profiles and specific developmental programmes^11,81. Nevertheless, this study shows that, irrespective of their origin and development, thermogenic adipocytes have suppressed IRF7 expression and are eventually lacking an IFN response to cytosolic mtRNA. The IFN response augments inflammasome activation, which further damages mitochondria⁷¹. However, a gene network encoding inflammasome proteins had suppressed expression in young (thermogenic) adipocytes, suggesting their potential protection from mitochondrion-damaging inflammasome activation. These, in our understanding, favour the expansion of the mitochondrial network and allow mitochondrial thermogenesis.

We show that VDR signalling contributes to the suppression of IRF7 expression in adipocytes and that cytosolic mtRNA stimulates calcitriol synthesis and hence supplies a VDR ligand in young adipocytes. However, as a limitation of this study, we have not explored further the mechanism of Irf7 suppression in interscapular brown adipose tissue in mice, leaving open the possibility that this unique thermogenic fat depot has a VDR-independent mechanism that suppresses Irf7 expression.

VDR signalling is involved in the innate immune response in adipose tissue⁵⁷, and VDR activation inhibits the inflammasome and the IFN response^{53,54,55,56,82}. Vit-D3 supplementation is now routine in postnatal care; however, Vit-D3 deficiency is prevalent among obese children and adolescents and is a risk factor for metabolic diseases^83,84. Vit-D3–VDR signalling is proposed to inhibit weight gain by activating UCP3 in the muscle⁸⁵, although VDR overexpression promotes weight gain in mice⁸⁶. Indeed, the promotion of formula feeding originally served to increase the supply of Vit-D3 and induce weight gain⁸⁷, but formula lacks the maternal lipid species that maintain beige fat and has obesogenic effects¹⁶. VDR signalling was impaired in the adipose tissue of obese children; therefore, despite increasing Vit-D3 levels, formula milk is not sufficient to trigger beige adipogenesis. However, when Vit-D3 supplementation is combined with stimulation of cytosolic mtRNA signalling, beige adipocytes develop and obesity is reduced.

In summary, the thermogenic potential of young adipocytes in early postnatal life is dependent on mtRNA-mediated signalling and suppression of the immune response to cytosolic mtRNA. In obesity, adipocytes respond with inflammation to mtRNA, which is unfavourable for the mitochondrial network. Repressing this immune response along with restoring mtRNA-mediated mitochondrion-to-nucleus signalling may represent an effective mechanism to increase beige fat and mitigate obesity.

Methods

Animals and cells

We used WT male C57BL/6 (Charles River Laboratories), Irf7^−/− (Riken), Ddx58^−/− and Mda5^−/− (kindly provided by G. Hartmann, University of Bonn, Germany) mice. Mice were housed under SPF conditions. Animal experiments were approved by local ethics committees. Primary mouse adipocytes were isolated by collagenase digestion and separation of cell fractions and subsequently analysed or cultured, as described previously¹⁶.

Human samples

Subcutaneous adipose tissue (groin region, ischiorectal fossa, abdominal and pectoral fat depots) from human infants, adolescents and young adults was collected in the Leipzig Childhood Adipose Tissue cohort and at the University of Debrecen during elective surgery². For all children included in the study, written informed consent was obtained from parents or guardians, and the study has been conducted in accordance with ethical guidelines of the Declaration of Helsinki. The study protocol was approved by the local ethics committee of the Medical Faculty, University of Leipzig (265-08-ff, NCT02208141) and the University of Debrecen (RKEB 6057 and 6149). Adult adipocyte samples were collected in our previous study¹⁶. In Fig. 3h,i, we used adipocytes obtained from the groin region.

mRNA analysis and next-generation sequencing

Extraction of total RNA was performed as described previously¹¹. qPCR assays were carried out on the Quantabio platform, using Bactin (Actb), Gapdh and Ppia as references. Primer sequences are provided in Supplementary Table 1. NGS analysis was carried out on the BGISEQ-500 platform by BGI Genomics, generating about 26.20 million reads per sample (Extended Data Fig. 8). EnrichR, P1nther and Interferome 2.0 were used for annotation of transcripts; clustered image maps (CIMs, heatmaps) were rendered by CIMMiner and Heatmapper. Gene expression in human samples was quantified by Illumina HT-12 v4 Gene Expression BeadChip arrays, and data were background corrected and quantile normalized¹¹.

Supplementary methods

Cytosolic delivery of mtRNA, ELISA assays, flow cytometry, histology, image analysis and TEM analysis are provided in the Supplementary Information and Extended Data Fig. 8.

Data representation and statistics

Data are represented as mean ± s.e.m., along with each individual data point. When data are represented as CIMs to visualize gene transcription differences between experimental conditions, we indicate fold changes or Z scores of the relative abundance. Statistical tests and significance are indicated in the respective figures.

Reporting summary

Further information on research design is available in the Nature Portfolio Reporting Summary linked to this article.

Data availability

Data are available for secondary use upon request, and key experimental data are accessible via Figshare (https://doi.org/10.6084/m9.figshare.21202400). FlowRepository identifiers of flow cytometry data are as follows: FR-FCM-Z236, FR-FCM-Z2R6, FR-FCM-ZYPU, FR-FCM-ZYUU, FR-FCM-Z5QA. NGS data are deposited at GEO under the accession number GSE185317. For secondary analysis, we used our previously published NGS datasets, with accession numbers GSE125405 and GSE133500. Source data are provided with this paper.

References

Geserick, M. et al. Acceleration of BMI in early childhood and risk of sustained obesity. N. Engl. J. Med. 379, 1303–1312 (2018).
Article Google Scholar
Landgraf, K. et al. Evidence of early alterations in adipose tissue biology and function and its association with obesity-related inflammation and insulin resistance in children. Diabetes 64, 1249–1261 (2015).
Article CAS Google Scholar
Dietz, W. H. Overweight in childhood and adolescence. N. Engl. J. Med. 350, 855–857 (2004).
Article CAS Google Scholar
Christ, A. & Latz, E. The Western lifestyle has lasting effects on metaflammation. Nat. Rev. Immunol. 19, 267–268 (2019).
Article CAS Google Scholar
Eriksson, J. G., Forsén, T., Tuomilehto, J., Osmond, C. & Barker, D. J. Early adiposity rebound in childhood and risk of type 2 diabetes in adult life. Diabetologia 46, 190–194 (2003).
Article CAS Google Scholar
Pietrobelli, A., Agosti, M. & the MeNu, G. Nutrition in the first 1000 days: ten practices to minimize obesity emerging from published science. Int. J. Environ. Res. Public Health 14, 1491 (2017).
Article Google Scholar
Rolland-Cachera, M. F. et al. Adiposity rebound in children: a simple indicator for predicting obesity. Am. J. Clin. Nutr. 39, 129–135 (1984).
Article CAS Google Scholar
Dietz, W. H. Critical periods in childhood for the development of obesity. Am. J. Clin. Nutr. 59, 955–959 (1994).
Article CAS Google Scholar
Siervogel, R. M., Roche, A. F., Guo, S. M., Mukherjee, D. & Chumlea, W. C. Patterns of change in weight/stature2 from 2 to 18 years: findings from long-term serial data for children in the Fels Longitudinal Growth Study. Int. J. Obes. 15, 479–485 (1991).
CAS Google Scholar
Herrera, E. & Amusquivar, E. Lipid metabolism in the fetus and the newborn. Diabetes Metab. Res. Rev. 16, 202–210 (2000).
Article CAS Google Scholar
Hoang, A. C., Yu, H. & Röszer, T. Transcriptional landscaping identifies a beige adipocyte depot in the newborn mouse. Cells 10, 2368 (2021).
Article CAS Google Scholar
Rockstroh, D. et al. Direct evidence of brown adipocytes in different fat depots in children. PLoS ONE 10, e0117841 (2015).
Article Google Scholar
Sinclair, J. C. Temperature Regulation and Energy Metabolism in the Newborn (Monographs in Neonatalogy) (Grune & Stratton, 1978).
Persson, B. Carbohydrate and lipid metabolism in the newborn infant. Acta Anaesthesiol. Scand. 18, https://doi.org/10.1111/j.1399-6576.1974.tb00706.x (1974).
Hahn, P. in Perinatal Physiology (ed Stave, U.) Ch. 19 (Plenum Medical Book Company, 1970).
Yu, H. et al. Breast milk alkylglycerols sustain beige adipocytes through adipose tissue macrophages. J. Clin. Invest. 129, 2485–2499 (2019).
Article Google Scholar
Lidell, M. E. Brown adipose tissue in human infants. Handb. Exp. Pharmacol. 251, 107–123 (2019).
Article CAS Google Scholar
Hahn, P. & Novak, M. Development of brown and white adipose tissue. J. Lipid Res. 16, 79–91 (1975).
Article CAS Google Scholar
Ikeda, K., Maretich, P. & Kajimura, S. The common and distinct features of brown and beige adipocytes. Trends Endocrinol. Metab. 29, 191–200 (2018).
Article CAS Google Scholar
Boudina, S. & Graham, T. E. Mitochondrial function/dysfunction in white adipose tissue. Exp. Physiol. 99, 1168–1178 (2014).
Article Google Scholar
Riley, J. S. & Tait, S. W. Mitochondrial DNA in inflammation and immunity. EMBO Rep. 21, e49799 (2020).
Article CAS Google Scholar
Youle, R. J. Mitochondria—striking a balance between host and endosymbiont. Science 365, eaaw9855 (2019).
Article CAS Google Scholar
Zhong, Z. et al. New mitochondrial DNA synthesis enables NLRP3 inflammasome activation. Nature 560, 198–203 (2018).
Article CAS Google Scholar
Dhir, A. et al. Mitochondrial double-stranded RNA triggers antiviral signalling in humans. Nature 560, 238–242 (2018).
Article CAS Google Scholar
Bahat, A., MacVicar, T. & Langer, T. Metabolism and innate immunity meet at the mitochondria. Front. Cell Dev. Biol. 9, 720490 (2021).
Ferreira, R. C. et al. A type I interferon transcriptional signature precedes autoimmunity in children genetically at risk for type 1 diabetes. Diabetes 63, 2538–2550 (2014).
Article Google Scholar
Ghazarian, M. et al. Type I interferon responses drive intrahepatic T cells to promote metabolic syndrome. Sci. Immunol. 2, eaai7616 (2017).
Kissig, M. et al. PRDM16 represses the type I interferon response in adipocytes to promote mitochondrial and thermogenic programing. EMBO J. 36, 1528–1542 (2017).
Article CAS Google Scholar
Chan, C. C. et al. Type I interferon sensing unlocks dormant adipocyte inflammatory potential. Nat. Commun. 11, 2745 (2020).
Article CAS Google Scholar
Bai, J. & Liu, F. The cGAS–cGAMP–STING pathway: a molecular link between immunity and metabolism. Diabetes 68, 1099–1108 (2019).
Article CAS Google Scholar
Bai, J. et al. Mitochondrial stress-activated cGAS–STING pathway inhibits thermogenic program and contributes to overnutrition-induced obesity in mice. Commun. Biol. 3, 257 (2020).
Article CAS Google Scholar
Röszer, T. Co-evolution of breast milk lipid signaling and thermogenic adipose tissue. Biomolecules 11, 1705 (2021).
Article Google Scholar
Dias Junior, A. G., Sampaio, N. G. & Rehwinkel, J. A balancing act: MDA5 in antiviral immunity and autoinflammation. Trends Microbiol. 27, 75–85 (2019).
Article CAS Google Scholar
Kato, H. et al. Length-dependent recognition of double-stranded ribonucleic acids by retinoic acid-inducible gene-I and melanoma differentiation-associated gene 5. J. Exp. Med. 205, 1601–1610 (2008).
Article CAS Google Scholar
Alsaggar, M., Mills, M. & Liu, D. Interferon β overexpression attenuates adipose tissue inflammation and high-fat diet-induced obesity and maintains glucose homeostasis. Gene Ther. 24, 60–66 (2017).
Article CAS Google Scholar
Wieser, V. et al. Adipose type I interferon signalling protects against metabolic dysfunction. Gut 67, 157–165 (2018).
Article CAS Google Scholar
Meyer, A. et al. IFN-β-induced reactive oxygen species and mitochondrial damage contribute to muscle impairment and inflammation maintenance in dermatomyositis. Acta Neuropathol. 134, 655–666 (2017).
Article CAS Google Scholar
Shan, B., Vazquez, E. & Lewis, J. Interferon selectively inhibits the expression of mitochondrial genes: a novel pathway for interferon-mediated responses. EMBO J. 9, 4307–4314 (1991).
Article Google Scholar
Ablasser, A. et al. RIG-I-dependent sensing of poly(dA:dT) through the induction of an RNA polymerase III-transcribed RNA intermediate. Nat. Immunol. 10, 1065–1072 (2009).
Article CAS Google Scholar
Honda, K., Takaoka, A. & Taniguchi, T. Type I inteferon gene induction by the interferon regulatory factor family of transcription factors. Immunity 25, 349–360 (2006).
Article CAS Google Scholar
Ning, S., Pagano, J. S. & Barber, G. N. IRF7: activation, regulation, modification and function. Genes Immun. 12, 399–414 (2011).
Article CAS Google Scholar
Honda, K. et al. IRF-7 is the master regulator of type-I interferon-dependent immune responses. Nature 434, 772–777 (2005).
Article CAS Google Scholar
Wang, X. A. et al. Interferon regulatory factor 7 deficiency prevents diet-induced obesity and insulin resistance. Am. J. Physiol. Endocrinol. Metab. 305, E485–E495 (2013).
Article CAS Google Scholar
Motwani, M., Pesiridis, S. & Fitzgerald, K. A. DNA sensing by the cGAS–STING pathway in health and disease. Nat. Rev. Genet. 20, 657–674 (2019).
Article CAS Google Scholar
Takaoka, A. et al. DAI (DLM-1/ZBP1) is a cytosolic DNA sensor and an activator of innate immune response. Nature 448, 501–505 (2007).
Article CAS Google Scholar
Shin, S.-I. et al. Z-DNA-forming sites identified by ChIP–seq are associated with actively transcribed regions in the human genome. DNA Res. 23, 477–486 (2016).
Article CAS Google Scholar
Lugrin, J. & Martinon, F. The AIM2 inflammasome: sensor of pathogens and cellular perturbations. Immunol. Rev. 281, 99–114 (2018).
Article CAS Google Scholar
Unterholzner, L. et al. IFI16 is an innate immune sensor for intracellular DNA. Nat. Immunol. 11, 997–1004 (2010).
Article CAS Google Scholar
Sugimoto, S. et al. Brown adipose tissue-derived MaR2 contributes to cold-induced resolution of inflammation. Nat. Metab. 4, 775–790 (2022).
Article CAS Google Scholar
Moon, J. et al. Brown adipose tissue ameliorates autoimmune arthritis via inhibition of T_H17 cells. Sci. Rep. 10, 12374 (2020).
Article CAS Google Scholar
Babaei, R. et al. Jak–TGFβ cross-talk links transient adipose tissue inflammation to beige adipogenesis. Sci. Signal. 11, eaai7838 (2018).
Kristóf, E. et al. Interleukin-6 released from differentiating human beige adipocytes improves browning. Exp. Cell Res. 377, 47–55 (2019).
Article Google Scholar
Teymoori-Rad, M., Shokri, F., Salimi, V. & Marashi, S. M. The interplay between vitamin D and viral infections. Rev. Med. Virol. 29, e2032 (2019).
Article Google Scholar
Stoppelenburg, A. J., von Hegedus, J. H., Huis in’t Veld, R., Bont, L. & Boes, M. Defective control of vitamin D receptor-mediated epithelial STAT1 signalling predisposes to severe respiratory syncytial virus bronchiolitis. J. Pathol. 232, 57–64 (2014).
Article CAS Google Scholar
Rao, Z. et al. Vitamin D receptor inhibits NLRP3 activation by impeding its BRCC3-mediated deubiquitination. Front. Immunol. 10, 2783 (2019).
Nakajo, T., Katayoshi, T., Kitajima, N. & Tsuji-Naito, K. 1,25-dihydroxyvitamin D3 attenuates IL-1β secretion by suppressing NLRP1 inflammasome activation by upregulating the NRF2–HO-1 pathway in epidermal keratinocytes. Redox Biol. 48, 102203 (2021).
Article CAS Google Scholar
Zhang, L. J. et al. Innate immunity. Dermal adipocytes protect against invasive Staphylococcus aureus skin infection. Science 347, 67–71 (2015).
Article CAS Google Scholar
Seto, S., Tsujimura, K. & Koide, Y. Coronin-1a inhibits autophagosome formation around Mycobacterium tuberculosis-containing phagosomes and assists mycobacterial survival in macrophages. Cell. Microbiol. 14, 710–727 (2012).
Article CAS Google Scholar
Tare, M., Parkington, H. C. & Morley, R. in Early Life Origin of Health and Disease (eds Wintour, E. M. & Owens, J. A.) (Springer, 2006).
Masuyama, H. & Hiramatsu, Y. Additive effects of maternal high fat diet during lactation on mouse offspring. PLoS ONE 9, e92805 (2014).
Article Google Scholar
Vandanmagsar, B. et al. The NLRP3 inflammasome instigates obesity-induced inflammation and insulin resistance. Nat. Med. 17, 179–188 (2011).
Article CAS Google Scholar
Villarroya, F., Cereijo, R., Gavaldà-Navarro, A., Villarroya, J. & Giralt, M. Inflammation of brown/beige adipose tissues in obesity and metabolic disease. J. Intern. Med. 284, 492–504 (2018).
Article CAS Google Scholar
Derecka, M. et al. Tyk2 and Stat3 regulate brown adipose tissue differentiation and obesity. Cell Metab. 16, 814–824 (2012).
Article CAS Google Scholar
Asterholm, I. W. et al. Adipocyte inflammation is essential for healthy adipose tissue expansion and remodeling. Cell Metab. 20, 103–118 (2014).
Article Google Scholar
Cao, W. et al. p38 mitogen-activated protein kinase is the central regulator of cyclic AMP-dependent transcription of the brown fat uncoupling protein 1 gene. Mol. Cell. Biol. 24, 3057–3067 (2004).
Article CAS Google Scholar
Ro, S. et al. The mitochondrial genome encodes abundant small noncoding RNAs. Cell Res. 23, 759–774 (2013).
Article CAS Google Scholar
Vendramin, R., Marine, J. C. & Leucci, E. Non-coding RNAs: the dark side of nuclear–mitochondrial communication. EMBO J. 36, 1123–1133 (2017).
Yang, G. et al. RIG-I deficiency promotes obesity-induced insulin resistance. Pharmaceuticals 14, 1178 (2021).
Kumari, M. et al. IRF3 promotes adipose inflammation and insulin resistance and represses browning. J. Clin. Invest. 126, 2839–2854 (2016).
Article Google Scholar
Yan, S. et al. IRF3 reduces adipose thermogenesis via ISG15-mediated reprogramming of glycolysis. J. Clin. Invest. 131, e144888 (2021).
Rogers, C. et al. Gasdermin pores permeabilize mitochondria to augment caspase-3 activation during apoptosis and inflammasome activation. Nat. Commun. 10, 1689 (2019).
Article Google Scholar
Labzin, L. I., Lauterbach, M. A. & Latz, E. Interferons and inflammasomes: cooperation and counterregulation in disease. J. Allergy Clin. Immunol. 138, 37–46 (2016).
Article CAS Google Scholar
Gkirtzimanaki, K. et al. IFNα impairs autophagic degradation of mtDNA promoting autoreactivity of SLE monocytes in a STING-dependent fashion. Cell Rep. 25, 921–933 (2018).
Article CAS Google Scholar
Birk, R. Z. & Rubinstein, M. IFN-α induces apoptosis of adipose tissue cells. Biochem. Biophys. Res. Commun. 345, 669–674 (2006).
Article CAS Google Scholar
Tang, P. & Zhang, Y. Regulatory function of interferon regulatory factor 3 in obesity, inflammation and insulin resistance (HUM7P.287). J. Immunol. 192, 184.4 (2014).
Google Scholar
Minchenko, D. The expression of DDX58, IFIH1, IFI16, and AIM2 genes in obese adolescents and men with insulin resistance. Sovremennaya Pediatriya 7, 106–111 (2017).
Berg, A. H., Lin, Y., Lisanti, M. P. & Scherer, P. E. Adipocyte differentiation induces dynamic changes in NF-κB expression and activity. Am. J. Physiol. Endocrinol. Metab. 287, E1178–E1188 (2004).
Article CAS Google Scholar
Seale, P. et al. PRDM16 controls a brown fat/skeletal muscle switch. Nature 454, 961–967 (2008).
Article CAS Google Scholar
Shan, T. et al. Distinct populations of adipogenic and myogenic Myf5-lineage progenitors in white adipose tissues. J. Lipid Res. 54, 2214–2224 (2013).
Article CAS Google Scholar
Sanchez-Gurmaches, J. & Guertin, D. A. Adipocyte lineages: tracing back the origins of fat. Biochim. Biophys. Acta 1842, 340–351 (2014).
Article CAS Google Scholar
Cannon, B., de Jong, J. M. A., Fischer, A. W., Nedergaard, J. & Petrovic, N. Human brown adipose tissue: classical brown rather than brite/beige. Exp. Physiol. 105, 1191–1200 (2020).
Article CAS Google Scholar
Cippitelli, M. & Santoni, A. Vitamin D3: a transcriptional modulator of the interferon-γ gene. Eur. J. Immunol. 28, 3017–3030 (1998).
Article CAS Google Scholar
de Oliveira, L. F., de Azevedo, L. G., da Mota Santana, J., de Sales, L. P. C. & Pereira-Santos, M. Obesity and overweight decreases the effect of vitamin D supplementation in adults: systematic review and meta-analysis of randomized controlled trials. Rev. Endocr. Metab. Disord. 21, 67–76 (2020).
Pramono, A., Jocken, J. W. E. & Blaak, E. E. Vitamin D deficiency in the aetiology of obesity-related insulin resistance. Diabetes Metab. Res. Rev. 35, e3146 (2019).
Article Google Scholar
Fan, Y. et al. Vitamin D3/VDR resists diet-induced obesity by modulating UCP3 expression in muscles. J. Biomed. Sci. 23, 56–56 (2016).
Article Google Scholar
Xu, Y., Lou, Y. & Kong, J. VDR regulates energy metabolism by modulating remodeling in adipose tissue. Eur. J. Pharmacol. 865, 172761 (2019).
Article CAS Google Scholar
Biggs, K. et al. Formula milk supplementation on the postnatal ward: a cross-sectional analytical study. Nutrients 10, 608 (2018).
Article Google Scholar
Narvaez, C. J., Matthews, D., Broun, E., Chan, M. & Welsh, J. Lean phenotype and resistance to diet-induced obesity in vitamin D receptor knockout mice correlates with induction of uncoupling protein-1 in white adipose tissue. Endocrinology 150, 651–661 (2009).
Article CAS Google Scholar
Lorenz, R. et al. ViennaRNA package 2.0. Algorithms Mol. Biol. 6, 26 (2011).
Article Google Scholar
Karikó, K., Buckstein, M., Ni, H. & Weissman, D. Suppression of RNA recognition by Toll-like receptors: the impact of nucleoside modification and the evolutionary origin of RNA. Immunity 23, 165–175 (2005).
Article Google Scholar
Bakker, P. et al. TLR9 mediates remote liver injury following severe renal ischemia reperfusion. PLoS ONE 10, e0137511 (2015).
Article Google Scholar
Lin, R., Mamane, Y. & Hiscott, J. Multiple regulatory domains control IRF-7 activity in response to virus infection. J. Biol. Chem. 275, 34320–34327 (2000).
Article CAS Google Scholar
Szklarczyk, D. et al. STRING v11: protein–protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets. Nucleic Acids Res. 47, D607–D613 (2019).
Article CAS Google Scholar
Luan, Y., Lengyel, P. & Liu, C.-J. p204, a p200 family protein, as a multifunctional regulator of cell proliferation and differentiation. Cytokine Growth Factor Rev. 19, 357–369 (2008).
Article CAS Google Scholar
Bourette, R. P. & Mouchiroud, G. The biological role of interferon-inducible P204 protein in the development of the mononuclear phagocyte system. Front. Biosci. 13, 879–886 (2008).
Article CAS Google Scholar
Choubey, D. & Panchanathan, R. Interferon-inducible Ifi200-family genes in systemic lupus erythematosus. Immunol. Lett. 119, 32–41 (2008).
Article CAS Google Scholar
Ampem, G. & Röszer, T. in Nuclear Receptors: Methods and Experimental Protocols (ed Badr, M. Z.) 225–236 (Springer, 2019).
Vishvanath, L. et al. Pdgfrβ⁺ mural preadipocytes contribute to adipocyte hyperplasia induced by high-fat-diet feeding and prolonged cold exposure in adult mice. Cell Metab. 23, 350–359 (2015).
Rhee, M., Kim, J. W., Lee, M. W., Yoon, K. H. & Lee, S. H. Preadipocyte factor 1 regulates adipose tissue browning via TNF-α-converting enzyme-mediated cleavage. Metabolism 101, 153977 (2019).
Article CAS Google Scholar
Hepler, C., Vishvanath, L. & Gupta, R. K. Sorting out adipocyte precursors and their role in physiology and disease. Genes Dev. 31, 127–140 (2017).
Article CAS Google Scholar
Gao, Z., Daquinag, A. C., Su, F., Snyder, B. & Kolonin, M. G. PDGFRα/PDGFRβ signaling balance modulates progenitor cell differentiation into white and beige adipocytes. Development 145, dev155861 (2018).
Tseng, Y. H. et al. Prediction of preadipocyte differentiation by gene expression reveals role of insulin receptor substrates and necdin. Nat. Cell Biol. 7, 601–611 (2005).
Article CAS Google Scholar
Seale, P. et al. Transcriptional control of brown fat determination by PRDM16. Cell Metab. 6, 38–54 (2007).
Article CAS Google Scholar
Jespersen, N. Z. et al. A classical brown adipose tissue mRNA signature partly overlaps with brite in the supraclavicular region of adult humans. Cell Metab. 17, 798–805 (2013).
Article CAS Google Scholar
Kozak, L. P. The genetics of brown adipocyte induction in white fat depots. Front. Endocrinol. 2, 64 (2011).
Article CAS Google Scholar
Nascimento, E. B. M. et al. Genetic markers of brown adipose tissue identity and in vitro brown adipose tissue activity in humans. Obesity 26, 135–140 (2018).
Article CAS Google Scholar
Perugini, J. et al. Zic1 mRNA is transiently upregulated in subcutaneous fat of acutely cold-exposed mice. J. Cell. Physiol. 234, 2031–2036 (2019).
Pilkington, A.-C., Paz, H. A. & Wankhade, U. D. Beige adipose tissue identification and marker specificity—overview. Front. Endocrinol. 12, 599134 (2021).
Carobbio, S., Rosen, B. & Vidal-Puig, A. Adipogenesis: new insights into brown adipose tissue differentiation. J. Mol. Endocrinol. 51, T75–T85 (2013).
Article CAS Google Scholar
Lee, K.-H. & Kim, N. H. Differential expression of adipocyte-related molecules in the distal epididymal fat of mouse during postnatal period. Dev. Reprod. 23, 213–221 (2019).
Article Google Scholar
Taguchi, K. et al. Role of small proliferative adipocytes: possible beige cell progenitors. J. Endocrinol. 245, 65–78 (2020).
Article CAS Google Scholar
Hornung, V. et al. 5′-triphosphate RNA is the ligand for RIG-I. Science 314, 994–997 (2006).
Article Google Scholar
Waqas, S. F. H. et al. Adipose tissue macrophages develop from bone marrow-independent progenitors in Xenopus laevis and mouse. J. Leukoc. Biol. 102, 845–855 (2017).
Article CAS Google Scholar

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Acknowledgements

We thank K. McCreath for editing the manuscript. The VDR inhibitor was provided by L.A. Arnold, University of Wisconsin, USA. MitoThermoYellow was developed and provided by Y.-T. Chang (Center for Self-assembly and Complexity, Institute for Basic Science and Department of Chemistry, Pohang University of Science and Technology, Republic of Korea. The contributions of K. Schormair, B. Yildiz, V. Pflüger, Y. Chen, A. Stubenvoll, M.O. Yarmak, G. Varga and H. Yu (Ulm University) and G. Kiss (Molecular Anatomical Imaging and Electron Microscopy Core Facility, University of Debrecen) are acknowledged. This study was supported by the German Research Fund (DFG, RO 4856-1 to T.R.; DFG, CRC1052 C05 to A.K.; 209933838, SFB 1052 project C05 to A.K.; KO3512/3-1 to A.K.), the European Foundation for the Study of Diabetes on New Targets for Type 2 Diabetes, supported by MSD (96403 to T.R.), by the Federal Ministry of Education and Research (BMBF), Germany (FKZ, 01EO1501 IFB Adiposity Diseases to A.K.) and by the German Diabetes Association (DDG; to A.K.). Artworks in Fig. 6 were created using Servier Medical Art (smart.servier.com).

Funding

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Authors and Affiliations

Institute of Neurobiology, Ulm University, Ulm, Germany
Anh Cuong Hoang, Victoria Diedrich, Annika Herwig & Tamás Röszer
Institute of Pediatrics, Clinical Centre, Faculty of Medicine, University of Debrecen, Debrecen, Hungary
László Sasi-Szabó, Tibor Pál, Tamás Szabó & Tamás Röszer
Center for Pediatric Research, University Hospital for Children and Adolescents, University of Leipzig, Leipzig, Germany
Kathrin Landgraf & Antje Körner
Helmholtz Institute for Metabolic, Obesity and Vascular Research (HI-MAG) of the Helmholtz Center München at the University of Leipzig and University Hospital Leipzig, Leipzig, Germany
Antje Körner

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Anh Cuong Hoang
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Contributions

A.C.H., L.S.-S., T.P., V.D. and K.L. carried out experiments; A.K., A.H. and T.S. designed experiments; T.R. conceived the project, designed experiments and wrote the manuscript.

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Correspondence to Tamás Röszer.

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Extended data

Extended Data Fig. 1 Recognition of cytosolic mtRNA in adipocytes.

(A) Top Left: Copy number of mtDNA species in adipocytes of young and adult mice, N = 6 biologically independent samples. Middle Left: Immunostaining of dsRNA using J2 antibody in mouse adipocyte. nc: nucleus, Scale 10 μm. Assay was repeated three times. Bottom Left: Heat map of IFN-response genes in young and adult adipocytes transfected with vehicle or mtRNA (2 μg/ml, 18 h), N = 3 biologically independent samples. 80% confluent mouse adipocytes released 125 ± 20 IU/ml IFNβ in 4 h following mtRNA transfection. Right: Predicted minimum free energy (MFE) secondary structures of mtRNA species. Results were computed using ViennaRNA Package 2.0 and RNAfold 2.2.18, as described^88,89. (B) Transmission electron microscopy of mitochondria, also shown in Fig. 1d. Assay repeated six times. Cells were treated with vehicle or IFNβ. lp: lipid droplet, aph: autophagosome, mlb: multilayered bodies. Scales from left to right: 1 μm, 20 nm, 1 μm, 1 μm. (C) Scheme of RIG-I/MDA5 signaling. RNA Pol III: RNA polymerase III, which can generate dsRNA from DNA templates, ultimately activating the RIG-I/MDA5 pathway. Right: Expression of RNA Pol III and RIG-I/MDA5 pathway genes in the adipose tissue of young mice. (D) Mitochondrial RNA stimulates human TLR8 (ref. ⁹⁰) and triggers inflammation in mouse macrophages via TLR9 (ref. ⁹¹). Levels of Tlr8 and Tlr9 in young and adult subcutaneous adipose tissue in mouse. (E) Transfection of mouse adipocytes with rhodamine-conjugated poly (dA:dT) or CpG (a synthetic DNA sequence). Scale bar: 10 μm. Assay was repeated three times. (F) Mean fluorescence intensity of rhodamine-conjugated poly (dA:dT) in transfected cells, N = 3 biologically independent samples. Data are represented as mean ± SEM. Relative expression of mitochondrial Nd1 in transfected cells.

Source data

Extended Data Fig. 2 IRF7-controlled gene networks in mouse adipocytes.

(A) Protein level of IRF7 in young and adult mouse adipocytes, determined with ELISA. N = 6 biologically independent samples. (B) Immunostaining of IRF7 in the subcutaneous adipose tissue of a human male neonate and a 14 years old male child. Scale 25 μm. lp: lipid droplet. Note the lack of staining in the infant sample, and the robust cytosolic staining in the 14 years old child. Insert shows nucleus associated IRF7 labeling. Assay repeated two times. (C) IRF7 immunostaining of in vitro cultured adipocytes of a human infant [1] and adolescents [2-3]. Note the lack of staining in the infant adipocytes. IRF7 was detectable in the cytoplasm [2] and rarely in the nuclei [3] of adipocytes from adolescents. Scale 50 μm. (D) IRF7 staining of murine adipocytes transfected with vehicle or 5 μg/ml poly(dA:dT) for 1 h. Note the enrichment of IRF7 in the nucleus of poly(dA:dT)-stimulated adipocytes, and indicative of IRF7 activation^41,92. Scale 25 μm. Assay repeated six times. (E) Localization of Ser477-phosphorylated IRF7 in young and adult murine adipocytes, stimulated with 5 μg/ml poly(dA:dT) for 1 h. Scale 10 μm. (F) Level of IRF7 (determined with FACS analysis) in murine adipocytes treated with an antibody against IFNβ for 3 h. N = 5 biologically independent samples. (G) Scheme of NGS analysis. For RNA sequencing we obtained inguinal fat depots (iAT) of 3-3 mice at postnatal day 6 (young) and at week 8 (adult) and compared their transcriptional profiles. Gene ontology of differentially-expressed genes (DEGs) overrepresented in adults⁹³. Protein-protein association network of DEGs overrepresented in adults. The position of IRF7 within the network is highlighted. (H) Structure of the DNA-sensor p204 (IFI204). The three DNA-binding domains are labeled A, B and C. p204 is encoded by Ifi204 in BALB/C mice. In C57/BL6, however, Ifi204 has a frameshift mutation and its function is taken over by Ifi205 (refs. ^94,95,96). In 3T3-L1 cells, which have a BALB/C origin, we measured Ifi204, whereas we measured Ifi205 in adipocytes from C57/BL6 mice. (I) Level of Irf7 in liver and quadriceps muscle of young and adult mice, N = 5 biologically independent samples. (J) FACS plot of ATMs from iAT. ATMs were defined as F4/80⁺, CD11b⁺. FACS analysis of IRF7-associated gene products of young and adult ATMs. Assay was repeated three times. Gating strategy is provided in ref. ⁹⁷. (K) Expression of Aim2, Ddx41, Ifi205, Tmem173 and Mb21d1 in various organs. N = 3 biologically independent samples (L) Relative position and percentage of transcription factor binding sites in the promoters of IRF7-target genes. (M) Level of Ifnb mRNA in wt and Irf7^−/− adipocytes following mtRNA transfection, N = 6 biologically independent samples. Data are represented as mean ± SEM. Statistical significance was determined using Student’s 2-tailed unpaired t-test.

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Extended Data Fig. 3 IRF7 expression in the brown adipose tissue in mouse.

(A) Scheme of NGS analysis in adult mice. Replicate NGS analysis is available in ref. ¹¹. iAT: inguinal adipose tissue, BAT: interscapular brown adipose tissue. DEGs underrepresented in BAT, and their gene ontology analysis (B) Top: Comparison of Irf7 mRNA level in iAT and BAT. Bottom: Ifnb level in BAT transfected with vehicle of poly(dA:dT) for 18 h. N = 5 (Top) and N = 8 (Bottom) biologically independent samples.

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Extended Data Fig. 4 Characterization of young and adult adipose tissue.

(A) Hematoxylin and eosin (H&E) staining, and immunostaining of UCP1 in mouse inguinal adipose tissue (iAT) of young and adult mice. Scale: 50 μm, also see further images of these samples in ref. ¹¹. Assay was repeated six times for both age groups. (B) Left: Transcription of adipocyte progenitor genes in iAT. N = 3 biologically independent samples. Pdgfra and Pref1 are associated with beige progenitors^{98,99,100,101}; Wt1 is a hallmark of epidydimal fat, and is lacking from iAT¹⁰². Right: Adipocyte transcription of Prdm16, a key regulator of thermogenic adipocyte development^28,78,103. (C) Gene network associated with PRDM16 in young and adult mouse adipocytes. Red symbols indicate differentially expressed genes (DEGs) overrepresented in young adipocytes. Heat map summarizing the transcription level of beige/brown adipocyte marker genes and white adipocyte marker genes in young and adult iAT. N = 3 biologically independent samples. Ucp1 is necessary for thermogenesis; Ppargc1a for mitochondrial biogenesis; Cidea, Cox7a1, Dio2, Zic1 are associated with brown/beige adipocytes; Tmem26 and Tbx1 are beige adipocyte markers; Eva1a is a brown adipocyte marker^{104,105,106,107,108,109}; Myf5 is expressed by progenitors of brown adipocytes⁸⁰. Levels of Hoxc8 and Hoxc9 increase along white adipocyte development¹⁰⁴, although Hoxc9 may also be a marker of beige adipocytes¹⁰⁹. Lep, Fabp4, Plin2, Adipoq, Gpd1, Slc2a4 and Pparg are associated with white adipocyte maturation¹¹⁰. Plf is expressed by small proliferating preadipocytes with a strong potential to develop into beige adipocytes¹¹¹. (D) Expression levels of beige adipocyte genes and Fasn (encoding fatty acid synthase) in P6 and P56 adipocytes. N = 6 biologically independent samples. Data are represented as mean ± SEM. Statistical significance was determined using Student’s 2-tailed unpaired t-test. (E) Expression levels of endothelial and immune cell marker genes in young and adult iAT. N = 3 biologically independent samples (F) Correlation of UCP1 levels with beige/brown adipocyte-associated transcripts (PPARGC1A, TMEM26, CIDEA, LHX8) and white adipocyte markers (HOXC8, HOXC9) in the subcutaneous adipose tissue of human male infants^12,104, each data point represents one donor. P-values were determined with linear regression analysis. Age 0.2–3.5 years. Further details in refs. ^{11,12,16,103,104}.

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Extended Data Fig. 5 Effect of RIG-I and MDA5 ligands on beige adipocyte gene expression.

(A) Secondary and schematic structures of the synthetic ligands used to activate cytosolic RNA sensors. ssRNA41: single-stranded RNA, 3p-hp-RNA: 5′ triphosphate hairpin RNA, is an RIG-I ligand¹¹², 5′ppp-dsRNA: 5′ triphosphate dsRNA, a ligand for RIG-I, cytosolic p(I:C) activates MDA5 and RIG-I³⁴, and cytosolic p(dA:dT) is transcribed into RNA and ultimately activates RIG-I³⁹. (B,C) Adipocytes were transfected with RIG-I/MDA5 ligands: 5′ppp-dsRNA, 3p-hairpin-RNA, poly(dA:dT) and poly(I:C) in LyoVec. Levels of beige marker genes was measured 18 h after transfection. N = 3 biologically independent samples. (D) Adipocytes were transfected with 2 μg/ml ssRNA41 using the LyoVec transfection system for cytosol delivery. Levels of beige marker genes was measured 18 h after transfection. N = 6 biologically independent samples. (E) 3T3-L1 cells were treated with 5 μg/ml naked poly(I:C) to stimulate TLR3 and beige adipocyte gene transcription was then measured 18 h after treatment. N = 8 biologically independent samples. Data are represented as mean ± SEM. Statistical significance was determined using Student’s 2-tailed unpaired t-test.

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Extended Data Fig. 6 Effect of IL-6 on beige adipocyte gene expression.

(A) Left and Middle: Expression of Il6 mRNA in young and adult mouse adipocytes transfected with mtRNA for 18 h (N = 8, N = 3 biologically independent samples, respectively). Right: Level of IL-6 protein in mtRNA-transfected human adipocytes. N = 6 biologically independent samples. (B) Effect of 200 pg/ml IL-6 on the amount of newly synthesized (GFP-expressing) mitochondria in mouse adipocytes. Newly formed mitochondria were labeled with the BacMam-GFP transfection system. Scale: 50 μm. Assay was repeated three times. (C) Effect of 200 pg/ml IL-6 on the Mitothermo-Yellow (MTY) signal in 3T3-L1 cells. Assay was repeated three times. Correlation of Il6 and Ucp1 relative expression in mouse adipocytes, each data point represents a biologically independent sample. (D) SDH-A levels in adipocytes transfected with mtRNA. Anti-IL-6: cells were incubated with an antibody against IL-6. STAT-3 blockage: cells were treated with the JAK2/STAT3 inhibitor ruxolitinib. N = 3 biologically independent samples. (E) Transcription of beige adipocyte genes in mouse adipocytes treated with vehicle, 10 ng/ml IL-4, 200 pg/ml IL-6 or 2 μg/ml mtRNA for 18 h. N = 3 N = 6 biologically independent samples. (F) Expression of beige adipocyte genes in adipocytes treated with the JAK2/STAT3 inhibitor ruxolitinib as described¹⁶. N = 3 biologically independent samples. Data are represented as mean ± SEM. Statistical significance was determined using Student’s 2-tailed unpaired t-test.

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Extended Data Fig. 7 Metabolic role of mtRNA-mediated signaling.

(A) Level of Irf3 and Irf7 in mouse adipocytes treated with 1 μM Vit-D3 for 18 h. N = 6 biologically independent sample. (B) Indirect calorimetry assay of high-fat diet (HFD)-fed adult male C57BL/6 mice, N = 6 biologically independent samples. The inguinal fat depot was transfected with vehicle or with 0.6 μg/g body weight (BW) per day mtRNA for 14 days. The mtRNA was delivered into the adipocyte cytoplasm using magnetofection. Both groups received 4 ng/g BW Vit-D3 daily. MR: metabolic rate, EE: energy expenditure, RER: respiratory exchange rate (C) BW, daily food intake normalized to BW (N = 8 biologically independent samples), and liver weight normalized to BW (N = 4 biologically independent samples). Plasma level of TNFα and IL-6 (% of vehicle) from vehicle- or mtRNA-transfected mice, and the level of Irf7 in quadriceps muscle and liver (N = 8 biologically independent samples). Data are represented as mean ± SEM. Statistical significance was determined using Student’s 2-tailed unpaired t-test.

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Extended Data Fig. 8 Technical information on next-generation sequencing and image analysis.

(A) Workflow of the next-generation sequencing analysis. (B) Left: Steps of image analysis in histomorphometry [1-6]. Right: Positive controls in immunohistochemistry. Newborn liver was used for testing IRF7 antibody. Note the hematopoietic cell foci. Brown adipose tissue of mouse was used as a control for UCP1 antibody. Methyl-green counterstaining for nuclei. Further validation provided in ref. ¹¹. Scale 50 μm. Performed three times. (C) Negative control specimens. Left: Adipocytes in vitro, stained with secondary antibodies only; nuclei are labeled with DAPI. Scale: 10 μm. Middle: Mouse brown adipose tissue section labeled with secondary antibody only. Human adipose tissue labeled with secondary antibody only. Scale: 20 μm. Right: Adipose tissue of an IRF7-deficient mouse labeled with an antibody against IRF7. Irf3 level in 3T3-L1 cells transfected with Irf3 siRNA for 48 h. (D) Example of adipose tissue macrophage (ATM) gating strategy. Further details in refs. ⁹⁷ and ¹¹³.

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Supplementary information

Supplementary Information

Supplementary Tables 1 and 2 and Methods.

Reporting Summary