Decreased hepatic thyroid hormone signaling in systemic and liver-specific but not brain-specific accelerated aging due to DNA repair deficiency in mice

in European Thyroid Journal
Authors:
Sander Barnhoorn Department of Molecular Genetics, Erasmus Medical Center, Rotterdam, The Netherlands

Search for other papers by Sander Barnhoorn in
Current site
Google Scholar
PubMed
Close
,
Marcel E Meima Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, Rotterdam, The Netherlands

Search for other papers by Marcel E Meima in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-5392-0519
,
Robin P Peeters Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, Rotterdam, The Netherlands

Search for other papers by Robin P Peeters in
Current site
Google Scholar
PubMed
Close
,
Veerle M Darras Laboratory of Comparative Endocrinology, Biology Department, KU Leuven, Leuven, Belgium

Search for other papers by Veerle M Darras in
Current site
Google Scholar
PubMed
Close
,
Selmar Leeuwenburgh Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, Rotterdam, The Netherlands

Search for other papers by Selmar Leeuwenburgh in
Current site
Google Scholar
PubMed
Close
,
Jan H J Hoeijmakers Department of Molecular Genetics, Erasmus Medical Center, Rotterdam, The Netherlands
Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
Oncode Institute, Utrecht, The Netherlands
Institute for Genome Stability in Ageing and Disease, CECAD Research Centre, Cologne, Germany

Search for other papers by Jan H J Hoeijmakers in
Current site
Google Scholar
PubMed
Close
,
Wilbert P Vermeij Princess Máxima Center for Pediatric Oncology, Utrecht, The Netherlands
Oncode Institute, Utrecht, The Netherlands

Search for other papers by Wilbert P Vermeij in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-9690-1385
, and
W Edward Visser Department of Internal Medicine, Academic Center for Thyroid Diseases, Erasmus Medical Center, Rotterdam, The Netherlands

Search for other papers by W Edward Visser in
Current site
Google Scholar
PubMed
Close
https://orcid.org/0000-0002-5248-863X

Correspondence should be addressed to W Edward Visser: w.e.visser@erasmusmc.nl

*(W P Vermeij and W Edward Visser contributed equally to this work as senior authors)

Open access

Sign up for journal news

Background

Thyroid hormone signaling is essential for development, metabolism, and response to stress but declines during aging, the cause of which is unknown. DNA damage accumulating with time is a main cause of aging, driving many age-related diseases. Previous studies in normal and premature aging mice, due to defective DNA repair, indicated reduced hepatic thyroid hormone signaling accompanied by decreased type 1 deiodinase (DIO1) and increased DIO3 activities. We investigated whether aging-related changes in deiodinase activity are driven by systemic signals or represent cell- or organ-autonomous changes.

Methods

We quantified liver and plasma thyroid hormone concentrations, deiodinase activities and expression of T3-responsive genes in mice with a global, liver-specific and for comparison brain-specific inactivation of Xpg, one of the endonucleases critically involved in multiple DNA repair pathways.

Results

Both in global and liver-specific Xpg knockout mice, hepatic DIO1 activity was decreased. Interestingly, hepatic DIO3 activity was increased in global, but not in liver-specific Xpg mutants. Selective Xpg deficiency and premature aging in the brain did not affect liver or systemic thyroid signaling. Concomitant with DIO1 inhibition, Xpg −/− and Alb-Xpg mice displayed reduced thyroid hormone-related gene expression changes, correlating with markers of liver damage and cellular senescence.

Conclusions

Our findings suggest that DIO1 activity during aging is predominantly modified in a tissue-autonomous manner driven by organ/cell-intrinsic accumulating DNA damage. The increase in hepatic DIO3 activity during aging largely depends on systemic signals, possibly reflecting the presence of circulating cells rather than activity in hepatocytes.

Abstract

Background

Thyroid hormone signaling is essential for development, metabolism, and response to stress but declines during aging, the cause of which is unknown. DNA damage accumulating with time is a main cause of aging, driving many age-related diseases. Previous studies in normal and premature aging mice, due to defective DNA repair, indicated reduced hepatic thyroid hormone signaling accompanied by decreased type 1 deiodinase (DIO1) and increased DIO3 activities. We investigated whether aging-related changes in deiodinase activity are driven by systemic signals or represent cell- or organ-autonomous changes.

Methods

We quantified liver and plasma thyroid hormone concentrations, deiodinase activities and expression of T3-responsive genes in mice with a global, liver-specific and for comparison brain-specific inactivation of Xpg, one of the endonucleases critically involved in multiple DNA repair pathways.

Results

Both in global and liver-specific Xpg knockout mice, hepatic DIO1 activity was decreased. Interestingly, hepatic DIO3 activity was increased in global, but not in liver-specific Xpg mutants. Selective Xpg deficiency and premature aging in the brain did not affect liver or systemic thyroid signaling. Concomitant with DIO1 inhibition, Xpg −/− and Alb-Xpg mice displayed reduced thyroid hormone-related gene expression changes, correlating with markers of liver damage and cellular senescence.

Conclusions

Our findings suggest that DIO1 activity during aging is predominantly modified in a tissue-autonomous manner driven by organ/cell-intrinsic accumulating DNA damage. The increase in hepatic DIO3 activity during aging largely depends on systemic signals, possibly reflecting the presence of circulating cells rather than activity in hepatocytes.

Introduction

Altered neuroendocrine intercellular communication is an important integrative hallmark of aging and is associated with the functional decline in aging (1). In recent years, it has become increasingly clear that thyroid state changes during aging (2, 3, 4, 5). In humans, thyroid-stimulating hormone (TSH) concentrations typically increase with age while concentrations of the bioactive T3 (triiodothyronine) decrease in the elderly population (3, 5). Whether such changes reflect thyroid dysfunction or rather represent an adaptive or even protective response during aging is yet unknown. Thyroid hormones can negatively affect the life span (3, 6, 7). Chronic exposure of excess thyroid hormone leads to a reduced life span (7, 8). Rats rendered hypothyroid have a prolonged life span (9). Snell dwarf mice, which have mutations in the pituitary transcription factor Pit1, resulting in deficiencies in growth hormone (GH), TSH, and prolactin, are for example extremely long-lived (10, 11, 12). Replacement of thyroid hormone in Snell dwarf mice reduces the life span substantially, although their life span remains increased compared with untreated control mice (13). Basically, all long-lived dwarf mutant mice have one or more hormonal deficiencies. However, the endocrine connection with longevity has been primarily investigated for GH and insulin-like growth factor 1 (IGF1) signaling, while the contribution of thyroid hormone signaling is still largely unexplored. Strikingly, compared to mice in which only the GH–IGF1 axis is disrupted (deficient in component(s) of the GH–IGF1 axis), mice with a combination of GH–IGF1 deficiency and thyroid hormone deficiency are among the most extreme longest lived (Fig. 1A). Also, the molecular mechanisms underlying the relationship between changes in thyroid hormone signaling and aging have not been well studied.

Figure 1
Figure 1

Research question and experimental design. (A) Life span in mice with reduced somato-, lacto-, and/or thyrotropic signaling. The relationship between changes in percentage survival (x-axis) and log-hazard ratio effect size (y-axis) for median life span. Data were obtained from various life span cohorts (1) and separated by mutation. Mean values ± s.d.of the different cohorts are depicted for the various long-lived dwarf mutant mouse lines. (B) Schematic representation of the research question and experimental design.

Citation: European Thyroid Journal 12, 6; 10.1530/ETJ-22-0231

Genomic instability, the accumulation of DNA damage throughout life, is another important primary hallmark of aging (1, 14). DNA is constantly challenged by a wide variety of sources of both exogenous (e.g. UV- or X-rays and genotoxic chemicals) and endogenous origin (e.g. reactive oxygen species), but most of the lesions are repaired by dedicated DNA repair processes before they cause cell death or cell malfunction (15, 16). Genetically determined disturbance of DNA repair accelerates the accumulation of DNA damage over time, shortens life span, and drives many age-related diseases and cancer in mammals (17, 18). For instance, Ercc1 Δ/− and Xpg −/− DNA repair-deficient mice, harboring mutations in key endonucleases excising DNA damage, are both defective in multiple DNA repair pathways, including nucleotide excision repair (NER) and transcription-coupled repair (TCR) and show accelerated aging across many organs and tissues (17, 19, 20). These mouse models of premature aging (also called progeroid mice) can provide important insights into normal aging and are very useful to advance understanding of mechanisms of aging and to explore therapeutic interventions (21, 22). Interestingly, the accelerated aging triggers a protective antiaging ‘survival’ response, which is similar to the changes observed in long-lived dwarf mice (e.g. Ames and Snell mutants) or mice exposed to dietary restriction (DR), the only well-documented universal anti-aging intervention. This highly intricate response, boosting resilience and defense mechanisms including antioxidant systems at the expense of growth, involves strong suppression of the thyrotropic axis and several other key hormonal axes (20, 23).

Previously, we investigated thyroid hormone signaling in progeroid mice deficient in NER/TCR (24). These results indicated that DNA damage may attenuate thyroid hormone signaling during aging through modulation of deiodinase activity. The hypothyroid state in livers of normal and accelerated aging was associated with decreased activity of thyroid hormone-activating type 1 deiodinase (DIO1) and increased activity of thyroid hormone-inactivating DIO3 (24). It has been reported that, under certain conditions, DIO3 changes in a cell-specific manner without affecting systemic thyroid state (25). At present, it is unclear if aging-related changes in deiodinase activity are driven by systemic signals or represent cell-autonomous changes (Fig. 1B).

To better understand the governance of thyroid hormone signaling, we here investigated mice with a global, liver-specific, and brain-specific inactivation of Xpg, one of the key endonucleases critically involved in the NER/TCR processes and when mutated causing three rare, severe (UV-sensitive) human DNA repair syndromes: the highly skin cancer-prone disease xeroderma pigmentosum (XP), the neurodevelopmental accelerated aging disorder Cockayne syndrome (CS), and the dramatic early lethal condition cerebro-oculo-facio-skeletal syndrome (COFS) (19, 26, 27). The global Xpg knockout (KO) (Xpg −/−) mouse mutant is characterized by a shortened life span of about 18 weeks and accelerated the onset of multiple progressive aging features, most pronounced in liver and brain (19, 21, 28). The liver-specific Alb-Xpg and brain-specific Emx-Xpg KO mice exhibit only severe tissue-specific features of premature aging (19, 29). Our findings suggest that DIO1 activity during aging is predominantly modified in a tissue-autonomous manner driven by organ/cell-intrinsic accumulating DNA damage. The increase in hepatic DIO3 activity during aging largely depends on systemic signals, possibly reflecting the presence of other cells rather than activity in hepatocytes.

Methods summary

The generation and characterization of the different mouse models have been previously described (19). Experiments were performed in accordance with the Principles of Laboratory Animal Care and the guidelines approved by the Dutch Ethical Committee in full accordance with European legislation (permit # 139-12-18).

The activities of the deiodinases DIO1 and DIO3 and concentrations of plasma and liver T3 and T4 were measured as reported previously (30, 31, 32).

Quantification of mRNA of T3-responsive genes was done according to standard procedures.

All statistical analyses were performed using GraphPad Prism (version 9.0.0). Statistical analysis on real-time qPCR data was calculated using dCT values. P-values expressed as *P < 0.05; **P < 0.01, ***P < 0.001 were considered to be significant. Comparisons for two groups were calculated by unpaired two-tailed Student’s t-tests.

A full description of the methods is provided in the Supplementary Methods.

Results

We first assessed deiodinase activity levels in livers of full-body Xpg −/− DNA repair-deficient progeroid mice. We chose two ages: 4 weeks, when these mice only show minor symptoms of DNA damage accumulation and accelerated aging, and 14 weeks, when the mutant mice exhibit numerous progeroid characteristics, including prominent signs of premature aging in the neuronal system and liver, without being moribund (19, 21, 28). Measuring DIO1 activity at 4 weeks of age showed a minor trend of reduced activity (Fig. 2A). At the age of 14 weeks, DIO1 activities in Xpg−/− liver were >6-fold (P = 0.0003) lower compared to wild-type (Wt) littermates (Fig. 2A). DIO3 activity in liver of Xpg−/− mice changed in the opposite manner (Fig. 2B; ~2-fold increase at 14 weeks, P = 0.041). The pattern of decreased DIO1 and increased DIO3 activity, with more pronounced effects in older animals, was reminiscent of the changes previously observed in other accelerated aging models (24), suggesting that Xpg−/− mice are relevant for exploring changes in thyroid state during aging.

Figure 2
Figure 2

Deiodinase activity in liver. Deiodinase 1 (DIO1) and 3 (DIO3) activity in livers of DNA repair-deficient (indicated in red) 4- and 14-week-old male Xpg−/− mice (A, B), 26-week-old liver-specific male Alb-Xpg mice (C, D) and 26-week-old brain-specific male and female Emx-Xpg mice (E, F). n = 3–4 animals/group. Wild-type (Wt) littermate controls are indicated in blue. Error bars denote mean ± s.e. *P < 0.05, ***P < 0.001.

Citation: European Thyroid Journal 12, 6; 10.1530/ETJ-22-0231

To investigate if these deiodinase changes are tissue autonomous or not, we next assessed these measurements in Xpg-mutant mice harboring the genetic defect only in liver (under the albumin-Cre promoter specific to hepatocytes (33); hereafter named Alb-Xpg) (19, 29). We employed (fore)brain-specific (under the Emx1-Cre promoter specific to neuronal progenitor cells (34); see Supplementary Methods) deletion of Xpg (hereafter named Emx-Xpg) (19) as a negative control, as brain-specific accelerated aging is not expected to affect liver thyroid hormone signaling. Both organs are known to display many progressive features of premature aging in short-lived full-body Xpg/ mutants (19, 21, 28). Similarly, the tissue-specific mice show prominent local premature aging features from half a year of age onward, without causing early death (19). We therefore assessed thyroid state changes in both tissue-specific mutants at 26 weeks of age. In 26-week-old Alb-Xpg mice, when accelerated aging signs are clearly present in only liver (19, 29), liver DIO1 activity appeared decreased, like in Xpg/ mice, while DIO3 activity was similar to that of controls (Fig. 2C and D). In livers of Emx-Xpg mice we did not find changes in DIO1 and DIO3 activities (Fig. 2E and F), arguing against systemic changes in the thyroid hormonal axis as a result of brain-specific premature neurodegeneration.

To find out whether the changes in enzyme activity were controlled at the level of gene expression or posttranscriptionally we determined the mRNA abundance by qRT-PCR. The observed changes in deiodinase activities in livers of full-body Xpg/ mice and liver-specific Alb-Xpg mice were mirrored by alterations in Dio1 and Dio3 mRNA levels (Fig. 3A, B, and C), indicating that the changes are regulated at least in part transcriptionally.

Figure 3
Figure 3

Deiodinase gene expression in liver. Dio1 and Dio3 gene expression in livers of 4- and 14-week-old male Xpg−/− mice (A), 26-week-old liver-specific male Alb-Xpg mice (B), and 26-week-old brain-specific male and female Emx-Xpg mice (C). n = 3–4 animals/group. Error bars denote mean ± s.e. **P <0.01, ***P < 0.001.

Citation: European Thyroid Journal 12, 6; 10.1530/ETJ-22-0231

Next, we measured thyroid hormone concentrations in both livers and plasma in all three animal models and Wt controls (Fig. 4). Liver T3 concentrations were only decreased in full-body Xpg/ mice (Fig. 4A) but not in tissue-specific Alb-Xpg or Emx-Xpg mice (Fig. 4B and C). No changes in liver T4 concentrations were seen (Fig. 4D, E, and F). Overall, decreased plasma T3 and T4 concentrations were noted in aged Xpg/ mice (Fig. 4G andJ), while those values were increased in young Xpg/ and in tissue-specific Alb-Xpg mice (Fig. 4H and K). No changes in plasma T3 and T4 concentrations were observed in Emx-Xpg mice (Fig. 4I and L), indicating that accelerated neurological aging in forebrain does not cause systemic changes in the thyroid hormonal system.

Figure 4
Figure 4

Thyroid hormone concentrations in liver and plasma. Liver T3 and T4 concentrations in 4- and 14-week-old male and female Xpg−/− mice (A, D), 26-week-old liver-specific male Alb-Xpg mice (B, E), and 26-week-old brain-specific male and female Emx-Xpg mice (C, F). Plasma T3 and T4 concentrations in 4- and 14-week-old male and female Xpg−/− mice (G, J), 26-week-old liver-specific male Alb-Xpg mice (H, K), and 26-week-old male and female brain-specific Emx-Xpg mice (I, L). n = 3 animals/group. Error bars denote mean ± s.e. *P < 0.05.

Citation: European Thyroid Journal 12, 6; 10.1530/ETJ-22-0231

To explore the net biological effect of the abovementioned changes in hormone concentrations and deiodinase activities, we quantified expression levels of a panel of genes that have been shown to be regulated by thyroid state (24). Consistent with the lower T3 concentrations, the decreased DIO1 and increased DIO3 activities, many thyroid hormone responsive genes were concordantly downregulated in livers of Xpg/ mice, with changes being more pronounced in older animals (Fig. 5A and B). While Alb-Xpg mice showed a similar tendency for downregulation (Fig. 5C), no consistent changes in this panel of thyroid hormone-responsive genes were seen in Emx-Xpg mice compared to Wt control mice (Fig. 5D). We noted a paradox between the elevated circulating T3 and T4 concentrations, but subtle decreased expression of thyroid hormone responsive genes in liver of Alb-Xpg mice (Fig. 4H and K vs Fig. 5C). Therefore, we quantified hepatic expression of thyroid hormone-binding proteins for all animal models (Fig. 5E, F, G, and H), clearly showing a 3× upregulation of the high-affinity binding protein Tbg in Alb-Xpg mice (Fig. 5G), likely explaining the rise of total T3 and T4 in plasma.

Figure 5
Figure 5

Expression of thyroid hormone responsive genes and thyroid hormone-binding proteins in liver. Gene expression in livers of 4- and 14-week-old male Xpg−/− mice (A, B), 26-week-old liver-specific male Alb-Xpg mice (C), and 26-week-old brain-specific male and female Emx-Xpg mice (D). n = 3–4 animals/group. The dotted line separates genes that are upregulated (left) or downregulated (right) in hypothyroidism. Alb, Tbg, and Ttr gene expression in livers of 4-week-old male Xpg−/− mice (E), 14-week-old male Xpg−/− mice (F), 26-week-old male Alb-Xpg mice (G) and 26-week-old male and female Emx-Xpg mice (H). n = 3–4 animals/group. Error bars denote mean ± s.e. *P < 0.05, **P < 0.01.

Citation: European Thyroid Journal 12, 6; 10.1530/ETJ-22-0231

As hepatic thyroid hormone levels and DIO3 activity differed between Xpg/ and Alb-Xpg mice, we tested if differences in the degree of liver damage could be an explanation. At the histological level, both Xpg/ and Alb-Xpg mice showed severe signs of liver aging such as hepatocyte polyploidization, seemingly to a greater extent in the Alb-Xpg mice (Supplementary Fig. 1A and B, see section on supplementary materials given at the end of this article) (19). Alanine aminotransferase (ALAT) concentrations as a marker for liver damage were elevated in both animal models and even more pronounced in Alb-Xpg mice (Fig. 6A and B). In contrast, liver function appeared normal using albumin production as a proxy marker (Fig. 6C and D).

Figure 6
Figure 6

Alanine transferase and albumin concentrations in plasma. Alanine amino transferase (ALAT) concentration in plasma of 4- and 14-week-old male Xpg−/− mice (A), and 26-week-old liver-specific male Alb-Xpg mice (B). Albumin concentration in plasma of 4- and 14-week-old male Xpg−/− mice (C), and 26-week-old, liver-specific male Alb-Xpg mice (D). n = 2–3 animals/group. Error bars denote mean ± s.e. **P < 0.01.

Citation: European Thyroid Journal 12, 6; 10.1530/ETJ-22-0231

The noted elevated levels of hepatocyte polyploidization in Xpg/ and Alb-Xpg mice could be a sign of cellular senescence (35), which increases during aging and was previously observed in various DNA repair-deficient accelerated aging mouse models (21, 29, 36, 37, 38, 39). Based on the observation that IL-6, a senescence associated factor, could modify deiodinase activity (2, 40, 41), we aimed to measure cellular senescence markers by gene expression as a potential discriminator between global systemic and local cell-autonomous changes. Various expression markers previously identified for the detection of senescence (36, 42) were increased in Xpg/ and Alb-Xpg mice (Fig. 7A and B), with none significantly changed in Emx-Xpg mice (Fig. 7C), correlating with the degree of polyploidization (Supplementary Fig. 1) and DIO1 inhibition (Fig. 2 and 3) in a cell-autonomous manner. In summary, we observed a reduction in DIO1 activity and related thyroid hormone-responsive genes in conditions of liver damage, while increased DIO3 activity was only noted in livers of global Xpg-deficient mice.

Figure 7
Figure 7

Expression of senescence-associated factors in liver. P21, IL-6, Mmp12, and Timp1 expression in livers of 14-week-old male Xpg−/− mice (A), 26-week-old liver-specific male Alb-Xpg mice (B), and 26-week-old brain-specific male and female Emx-Xpg mice (C). n = 3–4 animals/group. Error bars denote mean ± s.e. **P < 0.01, ***P < 0.001.

Citation: European Thyroid Journal 12, 6; 10.1530/ETJ-22-0231

Discussion

The present data indicate that hepatic thyroid hormone signaling is changed during aging via tissue-autonomous and nonautonomous ways. Liver-specific and full-body inactivation of the DNA repair gene Xpg, causing local or body-wide accelerated aging, results in decreased DIO1 expression and activity, while an increased DIO3 expression and activity is only present when DNA repair is globally hampered. As anticipated, Xpg deficiency and accelerated aging in brain does not exert any effect on thyroid signaling in liver.

To obtain a better mechanistic understanding of changes in thyroid hormone signaling during aging, model organisms can be used. Premature aging mice with segmental bona fide features of normal aging, reflect valuable models to study the normal aging process (17, 19, 21, 29, 43, 44, 45). Previously, we investigated two different prematurely aged DNA repair-deficient animal models and Wt aging mice (24). The large similarity in changes in thyroid hormone regulation between premature and normal aging indicated the usefulness of premature aging models in this field (24).

Here, we studied mice deficient in Xpg as another model for aging (19, 21). A principal finding was that we observed a hypothyroid state in liver accompanied by decreased DIO1 and increased DIO3 activity. The consistency with similar findings in other models supports the robustness of the observations (24). However, in mice with global inactivation of DNA repair it cannot be distinguished to which extent the changes in hepatic deiodinase activities result from systemic signals or from cell-autonomous processes. Therefore, the present study was designed to address this research question. In both full-body and liver-specific Xpg KO mice, DIO1 activity and expression was decreased consistent with reduced liver T3 concentrations. In contrast, DIO3 activity and expression was specifically increased in full-body Xpg/ mice, and not subjected to changes in liver-specific Alb-Xpg mice. Interestingly, even though several features of hepatic accelerated aging in 26-week-old liver-specific mutants appeared more severe compared to the 14-week-old full-body Xpg mutant mice, the magnitude of DIO1 changes were more moderate, implying that changes in DIO1 are not solely explained by liver-autonomous phenomena. Brain-specific depletion of Xpg did not result in any significant changes in liver DIO1 and DIO3 activity or T3 and T4 levels.

The observed changes in DIO3 however rather seem to originate from systemic factors as indicated by the absence of DIO3 elevation in both tissue-specific mutants. However, the age of the Xpg/ and Alb-Xpg mice investigated are not identical as the rate of aging differs between systemic and local DNA repair deficient mutants (19, 46). Also, we cannot fully rule out a contribution of aging Kupfer cells or other liver cell-types in DIO3 activation as in the Alb-Xpg mice only hepatocytes are affected and thus could, when too severely damaged at later ages, be repopulated via yet unaffected liver stem cells, in contrast to Xpg/ mice ((19) and unpublished observations). In line with previous observations, the activation of DIO3 in our study could originate from infiltrating cells (e.g. neutrophils or macrophages) invading the aged liver (47). Alternatively, metabolic factors could, in several cell-types including hepatocytes, elevate DIO3 expression and activity (48), which are components affected more in Xpg/ over Alb-Xpg mice (19, 49). It remains however to be identified which cell types or conditions are truly responsible for the increased expression and activity of DIO3. With the current wisdom that DIO3 can be re-activated under certain conditions, future studies should explore whether tissue DIO3 activity reflects endogenous cells or invading cells.

Both global Xpg/ mice and liver-specific Alb-Xpg mice show elevated levels of cellular senescence markers in liver, such as hepatocyte polyploidization, p21 expression and senescence-associated-secretory-phenotype (SASP) activation, of which at least IL-6 has been implicated in DIO3 regulation before. Should this be a causal link between aging, senescence and thyroid hormonal state, it can be speculated that activity of deiodinases may be downstream of inflammation pathways that are changed upon aging (2, 40). SASP activation is a prominent factor that accumulates with aging and upon excessive DNA damage occurring e.g. after chemotherapy (2, 36, 50, 51, 52). In this scenario the tissue-autonomous thyroid hormonal changes might be part of a broad ‘survival’ response to (accelerated) aging, driven at least in part by accumulation of DNA lesions. This response attempts to counteract the accelerated aging by boosting resilience mechanisms (e.g. antioxidant defenses) and reducing metabolism and growth (IGF1/GH) and strongly resembles the anti-aging response triggered by DR (20, 23, 53, 54). Since we found that DNA repair-deficient progeroid mouse models, including Xpg/ mice respond remarkably well to the anti-aging effects of DR (21), the reduced thyroid hormonal activity in this mutant may be an important component of this protective ‘survival’ response. Indeed, the response elicited by DR also encompasses attenuation of the thyroid hormonal axis (55, 56, 57, 58).

Together, these findings suggest that DIO1 activity during liver-aging is predominantly reduced in a tissue-autonomous manner, while the increased DIO3 activity during aging may largely depend on circulating cells infiltrating the liver.

We realize our study has several limitations. First, the Xpg deficient mouse models used in the present study represent models of segmental accelerated aging. Although they display an extremely broad variety of symptoms and pathologies also observed in normal mouse and human aging (17, 21, 44), we cannot exclude specific features being more pronounced or lacking. Second, the hormone measurements in both tissue and plasma are total hormone concentrations, while only the free hormone fraction is available for biological action. Indeed, the thyroid hormone binding protein Tbg, which carries the majority of circulating T3 and T4, was elevated in Alb-Xpg mice, potentially explaining why thyroid-responsive genes were downregulated, presumably following lower free hormone concentrations, while the total T3 plasma concentrations are elevated. Third, our study did not address which cells in the liver express DIO3. Our attempts so far were yet inconclusive but point to potential involvement of neutrophils or macrophages as noted before (47). Should that be the case, the function of increased DIO3 in these cells during aging remains to be elucidated.

Whether the changes in deiodinases during aging are beneficial cannot be established at this stage. In the context of many metabolic processes being reduced in aging, a further reduction of thyroid state might have beneficial effects (6, 7). Indeed, observational studies in older individuals may hint at increasing healthy lifespan in elderly with a lower thyroid state (59). The interplay between genetic, metabolic and environmental factors determines a unique thyroid biography in individuals. (2, 60). Lastly, interventional studies including DR in premature aging mice indicate the value of such models to explore therapeutic strategies for extending healthy lifespan (21, 22). Future studies should investigate to which extent the thyrotrophic axis influences the rate of aging, age-related multi-morbidity and lifespan in order to see whether and how this key hormonal axis can be exploited to promote healthy aging.

Supplementary materials

This is linked to the online version of the paper at https://doi.org/10.1530/ETJ-22-0231.

Declaration of interest

The authors declare that there is no conflict of interest that could prejudice the impartiality of the research reported. Edward Visser is on the editorial board of European Thyroid Journal. Edward Visser was not involved in the review or editorial process for this paper, on which he is listed as an author.

Funding

This work was largely supported by an ATA Research Grant (to WEV). We acknowledge the support of the ERC Advanced Grants DamAge and Dam2Age, ONCODE supported by the Dutch Cancer Society, NIH grant (PO1 AG017242), ADPS Longevity Research Award (to WPV), Memorabel (ZonMW 733050810), BBoL (NWO-ENW 737.016.015), DFG (SFB 829), and the EJP-RD (TC-NER RD20-113).

Author contribution statement

SB, JHJH, WPV, and WEV designed studies and wrote the manuscript. SB, RvH, and SL performed the experiments. MM, RPP, and VMD provided intellectual input.

Acknowledgements

We thank RMC Brandt, Y van Loon, and the animal caretakers for general assistance with mouse experiments.

References

  • 1

    Lopez-Otin C, Galluzzi L, Freije JMP, Madeo F, & Kroemer G. Metabolic control of longevity. Cell 2016 166 802821. (https://doi.org/10.1016/j.cell.2016.07.031)

  • 2

    Franceschi C, Ostan R, Mariotti S, Monti D, & Vitale G. The aging thyroid: a reappraisal within the geroscience integrated perspective. Endocrine Reviews 2019 40 12501270. (https://doi.org/10.1210/er.2018-00170)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3

    Bowers J, Terrien J, Clerget-Froidevaux MS, Gothié JD, Rozing MP, Westendorp RG, van Heemst D, & Demeneix BA. Thyroid hormone signaling and homeostasis during aging. Endocrine Reviews 2013 34 556589. (https://doi.org/10.1210/er.2012-1056)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4

    Engels K, Rakov H, Hönes GS, Brix K, Köhrle J, Zwanziger D, Moeller LC, & Führer D. Aging alters phenotypic traits of thyroid dysfunction in male mice with divergent effects on complex systems but preserved thyroid hormone action in target organs. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 2019 74 11621169. (https://doi.org/10.1093/gerona/glz040)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5

    Visser WE, Visser TJ, & Peeters RP. Thyroid disorders in older adults. Endocrinology and Metabolism Clinics of North America 2013 42 287303. (https://doi.org/10.1016/j.ecl.2013.02.008)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6

    Buffenstein R, & Pinto M. Endocrine function in naturally long-living small mammals. Molecular and Cellular Endocrinology 2009 299 101111. (https://doi.org/10.1016/j.mce.2008.04.021)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7

    Ooka H, & Shinkai T. Effects of chronic hyperthyroidism on the lifespan of the rat. Mechanisms of Ageing and Development 1986 33 275282. (https://doi.org/10.1016/0047-6374(8690052-7)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8

    Robertson TB. The influence of thyroid alone and of thyroid administered together with nucleic acids upon the growth and longevity of the white mouse. Australian Journal of Experimental Biology and Medical Science 1928 5 6988. (https://doi.org/10.1038/icb.1928.4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9

    Ooka H, Fujita S, & Yoshimoto E. Pituitary-thyroid activity and longevity in neonatally thyroxine-treated rats. Mechanisms of Ageing and Development 1983 22 113120. (https://doi.org/10.1016/0047-6374(8390104-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10

    Brown-Borg HM, Borg KE, Meliska CJ, & Bartke A. Dwarf mice and the ageing process. Nature 1996 384 33. (https://doi.org/10.1038/384033a0)

  • 11

    Buffenstein R, Lewis KN, Gibney PA, Narayan V, Grimes KM, Smith M, Lin TD, & Brown-Borg HM. Probing pedomorphy and prolonged lifespan in naked mole-rats and dwarf mice. Physiology 2020 35 96111. (https://doi.org/10.1152/physiol.00032.2019)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12

    Hauck SJ, Hunter WS, Danilovich N, Kopchick JJ, & Bartke A. Reduced levels of thyroid hormones, insulin, and glucose, and lower body core temperature in the growth hormone receptor/binding protein knockout mouse. Experimental Biology and Medicine 2001 226 552558. (https://doi.org/10.1177/153537020122600607)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13

    Vergara M, Smith-Wheelock M, Harper JM, Sigler R, & Miller RA. Hormone-treated snell dwarf mice regain fertility but remain long lived and disease resistant. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 2004 59 12441250. (https://doi.org/10.1093/gerona/59.12.1244)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14

    Boogaard WMCvd, Heuvel-Eibrink MMvd, Hoeijmakers JHJ, & Vermeij WP. Nutritional preconditioning in cancer treatment in relation to dna damage and aging. Annual Review of Cancer Biology 2021 5 161179. (https://doi.org/10.1146/annurev-cancerbio-060820-090737)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15

    Hoeijmakers JH. Genome maintenance mechanisms for preventing cancer. Nature 2001 411 366374. (https://doi.org/10.1038/35077232)

  • 16

    Petr MA, Tulika T, Carmona-Marin LM, & Scheibye-Knudsen M. Protecting the aging genome. Trends in Cell Biology 2020 30 117132. (https://doi.org/10.1016/j.tcb.2019.12.001)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17

    Vermeij WP, Hoeijmakers JH, & Pothof J. Genome integrity in aging: human syndromes, mouse models, and therapeutic options. Annual Review of Pharmacology and Toxicology 2016 56 427445. (https://doi.org/10.1146/annurev-pharmtox-010814-124316)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18

    Niedernhofer LJ, Gurkar AU, Wang Y, Vijg J, Hoeijmakers JHJ, & Robbins PD. Nuclear genomic instability and aging. Annual Review of Biochemistry 2018 87 295322. (https://doi.org/10.1146/annurev-biochem-062917-012239)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19

    Barnhoorn S, Uittenboogaard LM, Jaarsma D, Vermeij WP, Tresini M, Weymaere M, Menoni H, Brandt RM, de Waard MC, Botter SM, et al.Cell-autonomous progeroid changes in conditional mouse models for repair endonuclease XPG deficiency. PLoS Genetics 2014 10 e1004686. (https://doi.org/10.1371/journal.pgen.1004686)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20

    Niedernhofer LJ, Garinis GA, Raams A, Lalai AS, Robinson AR, Appeldoorn E, Odijk H, Oostendorp R, Ahmad A, van Leeuwen W, et al.A new progeroid syndrome reveals that genotoxic stress suppresses the somatotroph axis. Nature 2006 444 10381043. (https://doi.org/10.1038/nature05456)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21

    Vermeij WP, Dollé ME, Reiling E, Jaarsma D, Payan-Gomez C, Bombardieri CR, Wu H, Roks AJ, Botter SM, van der Eerden BC, et al.Restricted diet delays accelerated ageing and genomic stress in DNA-repair-deficient mice. Nature 2016 537 427431. (https://doi.org/10.1038/nature19329)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22

    Alyodawi K, Vermeij WP, Omairi S, Kretz O, Hopkinson M, Solagna F, Joch B, Brandt RMC, Barnhoorn S, van Vliet N, et al.Compression of morbidity in a progeroid mouse model through the attenuation of myostatin/activin signalling. Journal of Cachexia, Sarcopenia and Muscle 2019 10 662686. (https://doi.org/10.1002/jcsm.12404)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23

    Schumacher B, van der Pluijm I, Moorhouse MJ, Kosteas T, Robinson AR, Suh Y, Breit TM, van Steeg H, Niedernhofer LJ, van Ijcken W, et al.Delayed and accelerated aging share common longevity assurance mechanisms. PLoS Genetics 2008 4 e1000161. (https://doi.org/10.1371/journal.pgen.1000161)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24

    Visser WE, Bombardieri CR, Zevenbergen C, Barnhoorn S, Ottaviani A, van der Pluijm I, Brandt R, Kaptein E, van Heerebeek R, van Toor H, et al.Tissue-specific suppression of thyroid hormone signaling in various mouse models of aging. PLoS One 2016 11 e0149941. (https://doi.org/10.1371/journal.pone.0149941)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25

    Bianco AC, Dumitrescu A, Gereben B, Ribeiro MO, Fonseca TL, Fernandes GW, & Bocco BMLC. Paradigms of dynamic control of thyroid hormone signaling. Endocrine Reviews 2019 40 10001047. (https://doi.org/10.1210/er.2018-00275)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26

    Marteijn JA, Lans H, Vermeulen W, & Hoeijmakers JH. Understanding nucleotide excision repair and its roles in cancer and ageing. Nature Reviews. Molecular Cell Biology 2014 15 465481. (https://doi.org/10.1038/nrm3822)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27

    Lans H, Hoeijmakers JHJ, Vermeulen W, & Marteijn JA. The DNA damage response to transcription stress. Nature Reviews. Molecular Cell Biology 2019 20 766784. (https://doi.org/10.1038/s41580-019-0169-4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28

    La Fata G, van Vliet N, Barnhoorn S, Brandt RMC, Etheve S, Chenal E, Grunenwald C, Seifert N, Weber P, Hoeijmakers JHJ, et al.Vitamin E supplementation reduces cellular loss in the brain of a premature aging mouse model. Journal of Prevention of Alzheimer’s Disease 2017 4 226235. (https://doi.org/10.14283/jpad.2017.30)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29

    Ogrodnik M, Miwa S, Tchkonia T, Tiniakos D, Wilson CL, Lahat A, Day CP, Burt A, Palmer A, Anstee QM, et al.Cellular senescence drives age-dependent hepatic steatosis. Nature Communications 2017 8 15691. (https://doi.org/10.1038/ncomms15691)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30

    Kester MH, Toussaint MJ, Punt CA, Matondo R, Aarnio AM, Darras VM, Everts ME, de Bruin A, & Visser TJ. Large induction of type III deiodinase expression after partial hepatectomy in the regenerating mouse and rat liver. Endocrinology 2009 150 540545. (https://doi.org/10.1210/en.2008-0344)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31

    Friedrichsen S, Christ S, Heuer H, Schäfer MK, Mansouri A, Bauer K, & Visser TJ. Regulation of iodothyronine deiodinases in the Pax8-/- mouse model of congenital hypothyroidism. Endocrinology 2003 144 777784. (https://doi.org/10.1210/en.2002-220715)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32

    Reyns GE, Janssens KA, Buyse J, Kühn ER, & Darras VM. Changes in thyroid hormone levels in chicken liver during fasting and refeeding. Comparative Biochemistry and Physiology. Part B, Biochemistry and Molecular Biology 2002 132 239245. (https://doi.org/10.1016/s1096-4959(0100528-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33

    Postic C, Shiota M, Niswender KD, Jetton TL, Chen Y, Moates JM, Shelton KD, Lindner J, Cherrington AD, & Magnuson MA. Dual roles for glucokinase in glucose homeostasis as determined by liver and pancreatic beta cell-specific gene knock-outs using Cre recombinase. Journal of Biological Chemistry 1999 274 305315. (https://doi.org/10.1074/jbc.274.1.305)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34

    Iwasato T, Nomura R, Ando R, Ikeda T, Tanaka M, & Itohara S. Dorsal telencephalon-specific expression of Cre recombinase in PAC transgenic mice. Genesis 2004 38 130138. (https://doi.org/10.1002/gene.20009)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35

    Mosieniak G, & Sikora E. Polyploidy: the link between senescence and cancer. Current Pharmaceutical Design 2010 16 734740. (https://doi.org/10.2174/138161210790883714)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36

    Kim DE, Dollé MET, Vermeij WP, Gyenis A, Vogel K, Hoeijmakers JHJ, Wiley CD, Davalos AR, Hasty P, Desprez PY, et al.Deficiency in the DNA repair protein ERCC1 triggers a link between senescence and apoptosis in human fibroblasts and mouse skin. Aging Cell 2020 19 e13072. (https://doi.org/10.1111/acel.13072)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37

    Karakasilioti I, Kamileri I, Chatzinikolaou G, Kosteas T, Vergadi E, Robinson AR, Tsamardinos I, Rozgaja TA, Siakouli S, Tsatsanis C, et al.DNA damage triggers a chronic autoinflammatory response, leading to fat depletion in NER progeria. Cell Metabolism 2013 18 403415. (https://doi.org/10.1016/j.cmet.2013.08.011)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38

    Baar MP, Brandt RMC, Putavet DA, Klein JDD, Derks KWJ, Bourgeois BRM, Stryeck S, Rijksen Y, van Willigenburg H, Feijtel DA, et al.Targeted apoptosis of senescent cells restores tissue homeostasis in response to chemotoxicity and aging. Cell 2017 169 1321 47.e116. (https://doi.org.10.1016/j.cell.2017.02.031)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39

    Gregg SQ, Gutierrez V, Robinson AR, Woodell T, Nakao A, Ross MA, Michalopoulos GK, Rigatti L, Rothermel CE, Kamileri I, et al.A mouse model of accelerated liver aging caused by a defect in DNA repair. Hepatology 2012 55 609621. (https://doi.org/10.1002/hep.24713)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 40

    Wajner SM, Goemann IM, Bueno AL, Larsen PR, & Maia AL. IL-6 promotes nonthyroidal illness syndrome by blocking thyroxine activation while promoting thyroid hormone inactivation in human cells. Journal of Clinical Investigation 2011 121 18341845. (https://doi.org/10.1172/JCI44678)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 41

    Gauthier BR, Sola-Garcia A, Caliz-Molina , Lorenzo PI, Cobo-Vuilleumier N, Capilla-Gonzalez V, & Martin-Montalvo A. Thyroid hormones in diabetes, cancer, and aging. Aging Cell 2020 19 e13260. (https://doi.org/10.1111/acel.13260)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 42

    Hudgins AD, Tazearslan C, Tare A, Zhu Y, Huffman D, & Suh Y. Age- and tissue-specific expression of senescence biomarkers in mice. Frontiers in Genetics 2018 9 59. (https://doi.org/10.3389/fgene.2018.00059)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43

    Folgueras AR, Freitas-Rodríguez S, Velasco G, & López-Otín C. Mouse models to disentangle the hallmarks of human aging. Circulation Research 2018 123 905924. (https://doi.org/10.1161/CIRCRESAHA.118.312204)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44

    Harkema L, Youssef SA, & de Bruin A. Pathology of mouse models of accelerated aging. Veterinary Pathology 2016 53 366389. (https://doi.org/10.1177/0300985815625169)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45

    Liao CY, & Kennedy BK. Mouse models and aging: longevity and progeria. Current Topics in Developmental Biology 2014 109 249285. (https://doi.org/10.1016/B978-0-12-397920-9.00003-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46

    Birkisdóttir MB, Van’t Sant LJ, Brandt RMC, Barnhoorn S, Hoeijmakers JHJ, Vermeij WP, & Jaarsma D. Purkinje-cell-specific DNA repair-deficient mice reveal that dietary restriction protects neurons by cell-intrinsic preservation of genomic health. Frontiers in Aging Neuroscience 2022 14 1095801. (https://doi.org/10.3389/fnagi.2022.1095801)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47

    Boelen A, Kwakkel J, Alkemade A, Renckens R, Kaptein E, Kuiper G, Wiersinga WM, & Visser TJ. Induction of type 3 deiodinase activity in inflammatory cells of mice with chronic local inflammation. Endocrinology 2005 146 51285134. (https://doi.org/10.1210/en.2005-0608)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 48

    Simonides WS, Mulcahey MA, Redout EM, Muller A, Zuidwijk MJ, Visser TJ, Wassen FW, Crescenzi A, da-Silva WS, Harney J, et al.Hypoxia-inducible factor induces local thyroid hormone inactivation during hypoxic-ischemic disease in rats. Journal of Clinical Investigation 2008 118 975983. (https://doi.org/10.1172/JCI32824)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 49

    Milanese C, Bombardieri CR, Sepe S, Barnhoorn S, Payan-Gomez C, Caruso D, Audano M, Pedretti S, Vermeij WP, Brandt RMC, et al.DNA damage and transcription stress cause ATP-mediated redesign of metabolism and potentiation of anti-oxidant buffering. Nature Communications 2019 10 4887. (https://doi.org/10.1038/s41467-019-12640-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 50

    Tchkonia T, Zhu Y, van Deursen J, Campisi J, & Kirkland JL. Cellular senescence and the senescent secretory phenotype: therapeutic opportunities. Journal of Clinical Investigation 2013 123 966972. (https://doi.org/10.1172/JCI64098)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 51

    Rea IM, Gibson DS, McGilligan V, McNerlan SE, Alexander HD, & Ross OA. Age and age-related diseases: role of inflammation triggers and cytokines. Frontiers in Immunology 2018 9 586. (https://doi.org/10.3389/fimmu.2018.00586)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 52

    Maiden MJ, & Torpy DJ. Thyroid hormones in critical illness. Critical Care Clinics 2019 35 375388. (https://doi.org/10.1016/j.ccc.2018.11.012)

  • 53

    Garinis GA, Uittenboogaard LM, Stachelscheid H, Fousteri M, van Ijcken W, Breit TM, van Steeg H, Mullenders LH, van der Horst GT, Bruning JC, et al.Persistent transcription-blocking DNA lesions trigger somatic growth attenuation associated with longevity. Nature Cell Biology 2009 11 604615. (https://doi.org/10.1038/ncb1866)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 54

    van der Pluijm I, Garinis GA, Brandt RM, Gorgels TG, Wijnhoven SW, Diderich KE, de Wit J, Mitchell JR, van Oostrom C, Beems R, et al.Impaired genome maintenance suppresses the growth hormone–insulin-like growth factor 1 axis in mice with Cockayne syndrome. PLoS Biology 2007 5 e2. (https://doi.org/10.1371/journal.pbio.0050002)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 55

    Araujo RL, Andrade BM, da Silva ML, Ferreira AC, & Carvalho DP. Tissue-specific deiodinase regulation during food restriction and low replacement dose of leptin in rats. American Journal of Physiology. Endocrinology and Metabolism 2009 296 E1157E1163. (https://doi.org/10.1152/ajpendo.90869.2008)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 56

    Ravussin E, Redman LM, Rochon J, Das SK, Fontana L, Kraus WE, Romashkan S, Williamson DA, Meydani SN, Villareal DT, et al.A 2-year randomized controlled trial of human caloric restriction: feasibility and effects on predictors of health span and longevity. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 2015 70 10971104. (https://doi.org/10.1093/gerona/glv057)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 57

    Most J, & Redman LM. Impact of calorie restriction on energy metabolism in humans. Experimental Gerontology 2020 133 110875. (https://doi.org/10.1016/j.exger.2020.110875)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 58

    Blake NG, Eckland DJ, Foster OJ, & Lightman SL. Inhibition of hypothalamic thyrotropin-releasing hormone messenger ribonucleic acid during food deprivation. Endocrinology 1991 129 27142718. (https://doi.org/10.1210/endo-129-5-2714)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 59

    Bano A, Chaker L, Mattace-Raso FUS, Terzikhan N, Kavousi M, Ikram MA, Peeters RP, & Franco OH. Thyroid function and life expectancy with and without noncommunicable diseases: a population-based study. PLoS Medicine 2019 16 e1002957. (https://doi.org/10.1371/journal.pmed.1002957)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 60

    Ferrari SM, Fallahi P, Antonelli A, & Benvenga S. Environmental issues in thyroid diseases. Frontiers in Endocrinology 2017 8 50. (https://doi.org/10.3389/fendo.2017.00050)

    • PubMed
    • Search Google Scholar
    • Export Citation

 

  • Collapse
  • Expand
  • Figure 1

    Research question and experimental design. (A) Life span in mice with reduced somato-, lacto-, and/or thyrotropic signaling. The relationship between changes in percentage survival (x-axis) and log-hazard ratio effect size (y-axis) for median life span. Data were obtained from various life span cohorts (1) and separated by mutation. Mean values ± s.d.of the different cohorts are depicted for the various long-lived dwarf mutant mouse lines. (B) Schematic representation of the research question and experimental design.

  • Figure 2

    Deiodinase activity in liver. Deiodinase 1 (DIO1) and 3 (DIO3) activity in livers of DNA repair-deficient (indicated in red) 4- and 14-week-old male Xpg−/− mice (A, B), 26-week-old liver-specific male Alb-Xpg mice (C, D) and 26-week-old brain-specific male and female Emx-Xpg mice (E, F). n = 3–4 animals/group. Wild-type (Wt) littermate controls are indicated in blue. Error bars denote mean ± s.e. *P < 0.05, ***P < 0.001.

  • Figure 3

    Deiodinase gene expression in liver. Dio1 and Dio3 gene expression in livers of 4- and 14-week-old male Xpg−/− mice (A), 26-week-old liver-specific male Alb-Xpg mice (B), and 26-week-old brain-specific male and female Emx-Xpg mice (C). n = 3–4 animals/group. Error bars denote mean ± s.e. **P <0.01, ***P < 0.001.

  • Figure 4

    Thyroid hormone concentrations in liver and plasma. Liver T3 and T4 concentrations in 4- and 14-week-old male and female Xpg−/− mice (A, D), 26-week-old liver-specific male Alb-Xpg mice (B, E), and 26-week-old brain-specific male and female Emx-Xpg mice (C, F). Plasma T3 and T4 concentrations in 4- and 14-week-old male and female Xpg−/− mice (G, J), 26-week-old liver-specific male Alb-Xpg mice (H, K), and 26-week-old male and female brain-specific Emx-Xpg mice (I, L). n = 3 animals/group. Error bars denote mean ± s.e. *P < 0.05.

  • Figure 5

    Expression of thyroid hormone responsive genes and thyroid hormone-binding proteins in liver. Gene expression in livers of 4- and 14-week-old male Xpg−/− mice (A, B), 26-week-old liver-specific male Alb-Xpg mice (C), and 26-week-old brain-specific male and female Emx-Xpg mice (D). n = 3–4 animals/group. The dotted line separates genes that are upregulated (left) or downregulated (right) in hypothyroidism. Alb, Tbg, and Ttr gene expression in livers of 4-week-old male Xpg−/− mice (E), 14-week-old male Xpg−/− mice (F), 26-week-old male Alb-Xpg mice (G) and 26-week-old male and female Emx-Xpg mice (H). n = 3–4 animals/group. Error bars denote mean ± s.e. *P < 0.05, **P < 0.01.

  • Figure 6

    Alanine transferase and albumin concentrations in plasma. Alanine amino transferase (ALAT) concentration in plasma of 4- and 14-week-old male Xpg−/− mice (A), and 26-week-old liver-specific male Alb-Xpg mice (B). Albumin concentration in plasma of 4- and 14-week-old male Xpg−/− mice (C), and 26-week-old, liver-specific male Alb-Xpg mice (D). n = 2–3 animals/group. Error bars denote mean ± s.e. **P < 0.01.

  • Figure 7

    Expression of senescence-associated factors in liver. P21, IL-6, Mmp12, and Timp1 expression in livers of 14-week-old male Xpg−/− mice (A), 26-week-old liver-specific male Alb-Xpg mice (B), and 26-week-old brain-specific male and female Emx-Xpg mice (C). n = 3–4 animals/group. Error bars denote mean ± s.e. **P < 0.01, ***P < 0.001.

  • 1

    Lopez-Otin C, Galluzzi L, Freije JMP, Madeo F, & Kroemer G. Metabolic control of longevity. Cell 2016 166 802821. (https://doi.org/10.1016/j.cell.2016.07.031)

  • 2

    Franceschi C, Ostan R, Mariotti S, Monti D, & Vitale G. The aging thyroid: a reappraisal within the geroscience integrated perspective. Endocrine Reviews 2019 40 12501270. (https://doi.org/10.1210/er.2018-00170)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 3

    Bowers J, Terrien J, Clerget-Froidevaux MS, Gothié JD, Rozing MP, Westendorp RG, van Heemst D, & Demeneix BA. Thyroid hormone signaling and homeostasis during aging. Endocrine Reviews 2013 34 556589. (https://doi.org/10.1210/er.2012-1056)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 4

    Engels K, Rakov H, Hönes GS, Brix K, Köhrle J, Zwanziger D, Moeller LC, & Führer D. Aging alters phenotypic traits of thyroid dysfunction in male mice with divergent effects on complex systems but preserved thyroid hormone action in target organs. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 2019 74 11621169. (https://doi.org/10.1093/gerona/glz040)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 5

    Visser WE, Visser TJ, & Peeters RP. Thyroid disorders in older adults. Endocrinology and Metabolism Clinics of North America 2013 42 287303. (https://doi.org/10.1016/j.ecl.2013.02.008)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 6

    Buffenstein R, & Pinto M. Endocrine function in naturally long-living small mammals. Molecular and Cellular Endocrinology 2009 299 101111. (https://doi.org/10.1016/j.mce.2008.04.021)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 7

    Ooka H, & Shinkai T. Effects of chronic hyperthyroidism on the lifespan of the rat. Mechanisms of Ageing and Development 1986 33 275282. (https://doi.org/10.1016/0047-6374(8690052-7)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 8

    Robertson TB. The influence of thyroid alone and of thyroid administered together with nucleic acids upon the growth and longevity of the white mouse. Australian Journal of Experimental Biology and Medical Science 1928 5 6988. (https://doi.org/10.1038/icb.1928.4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 9

    Ooka H, Fujita S, & Yoshimoto E. Pituitary-thyroid activity and longevity in neonatally thyroxine-treated rats. Mechanisms of Ageing and Development 1983 22 113120. (https://doi.org/10.1016/0047-6374(8390104-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 10

    Brown-Borg HM, Borg KE, Meliska CJ, & Bartke A. Dwarf mice and the ageing process. Nature 1996 384 33. (https://doi.org/10.1038/384033a0)

  • 11

    Buffenstein R, Lewis KN, Gibney PA, Narayan V, Grimes KM, Smith M, Lin TD, & Brown-Borg HM. Probing pedomorphy and prolonged lifespan in naked mole-rats and dwarf mice. Physiology 2020 35 96111. (https://doi.org/10.1152/physiol.00032.2019)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 12

    Hauck SJ, Hunter WS, Danilovich N, Kopchick JJ, & Bartke A. Reduced levels of thyroid hormones, insulin, and glucose, and lower body core temperature in the growth hormone receptor/binding protein knockout mouse. Experimental Biology and Medicine 2001 226 552558. (https://doi.org/10.1177/153537020122600607)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 13

    Vergara M, Smith-Wheelock M, Harper JM, Sigler R, & Miller RA. Hormone-treated snell dwarf mice regain fertility but remain long lived and disease resistant. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 2004 59 12441250. (https://doi.org/10.1093/gerona/59.12.1244)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 14

    Boogaard WMCvd, Heuvel-Eibrink MMvd, Hoeijmakers JHJ, & Vermeij WP. Nutritional preconditioning in cancer treatment in relation to dna damage and aging. Annual Review of Cancer Biology 2021 5 161179. (https://doi.org/10.1146/annurev-cancerbio-060820-090737)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 15

    Hoeijmakers JH. Genome maintenance mechanisms for preventing cancer. Nature 2001 411 366374. (https://doi.org/10.1038/35077232)

  • 16

    Petr MA, Tulika T, Carmona-Marin LM, & Scheibye-Knudsen M. Protecting the aging genome. Trends in Cell Biology 2020 30 117132. (https://doi.org/10.1016/j.tcb.2019.12.001)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 17

    Vermeij WP, Hoeijmakers JH, & Pothof J. Genome integrity in aging: human syndromes, mouse models, and therapeutic options. Annual Review of Pharmacology and Toxicology 2016 56 427445. (https://doi.org/10.1146/annurev-pharmtox-010814-124316)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 18

    Niedernhofer LJ, Gurkar AU, Wang Y, Vijg J, Hoeijmakers JHJ, & Robbins PD. Nuclear genomic instability and aging. Annual Review of Biochemistry 2018 87 295322. (https://doi.org/10.1146/annurev-biochem-062917-012239)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 19

    Barnhoorn S, Uittenboogaard LM, Jaarsma D, Vermeij WP, Tresini M, Weymaere M, Menoni H, Brandt RM, de Waard MC, Botter SM, et al.Cell-autonomous progeroid changes in conditional mouse models for repair endonuclease XPG deficiency. PLoS Genetics 2014 10 e1004686. (https://doi.org/10.1371/journal.pgen.1004686)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 20

    Niedernhofer LJ, Garinis GA, Raams A, Lalai AS, Robinson AR, Appeldoorn E, Odijk H, Oostendorp R, Ahmad A, van Leeuwen W, et al.A new progeroid syndrome reveals that genotoxic stress suppresses the somatotroph axis. Nature 2006 444 10381043. (https://doi.org/10.1038/nature05456)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 21

    Vermeij WP, Dollé ME, Reiling E, Jaarsma D, Payan-Gomez C, Bombardieri CR, Wu H, Roks AJ, Botter SM, van der Eerden BC, et al.Restricted diet delays accelerated ageing and genomic stress in DNA-repair-deficient mice. Nature 2016 537 427431. (https://doi.org/10.1038/nature19329)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 22

    Alyodawi K, Vermeij WP, Omairi S, Kretz O, Hopkinson M, Solagna F, Joch B, Brandt RMC, Barnhoorn S, van Vliet N, et al.Compression of morbidity in a progeroid mouse model through the attenuation of myostatin/activin signalling. Journal of Cachexia, Sarcopenia and Muscle 2019 10 662686. (https://doi.org/10.1002/jcsm.12404)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 23

    Schumacher B, van der Pluijm I, Moorhouse MJ, Kosteas T, Robinson AR, Suh Y, Breit TM, van Steeg H, Niedernhofer LJ, van Ijcken W, et al.Delayed and accelerated aging share common longevity assurance mechanisms. PLoS Genetics 2008 4 e1000161. (https://doi.org/10.1371/journal.pgen.1000161)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 24

    Visser WE, Bombardieri CR, Zevenbergen C, Barnhoorn S, Ottaviani A, van der Pluijm I, Brandt R, Kaptein E, van Heerebeek R, van Toor H, et al.Tissue-specific suppression of thyroid hormone signaling in various mouse models of aging. PLoS One 2016 11 e0149941. (https://doi.org/10.1371/journal.pone.0149941)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 25

    Bianco AC, Dumitrescu A, Gereben B, Ribeiro MO, Fonseca TL, Fernandes GW, & Bocco BMLC. Paradigms of dynamic control of thyroid hormone signaling. Endocrine Reviews 2019 40 10001047. (https://doi.org/10.1210/er.2018-00275)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 26

    Marteijn JA, Lans H, Vermeulen W, & Hoeijmakers JH. Understanding nucleotide excision repair and its roles in cancer and ageing. Nature Reviews. Molecular Cell Biology 2014 15 465481. (https://doi.org/10.1038/nrm3822)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 27

    Lans H, Hoeijmakers JHJ, Vermeulen W, & Marteijn JA. The DNA damage response to transcription stress. Nature Reviews. Molecular Cell Biology 2019 20 766784. (https://doi.org/10.1038/s41580-019-0169-4)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 28

    La Fata G, van Vliet N, Barnhoorn S, Brandt RMC, Etheve S, Chenal E, Grunenwald C, Seifert N, Weber P, Hoeijmakers JHJ, et al.Vitamin E supplementation reduces cellular loss in the brain of a premature aging mouse model. Journal of Prevention of Alzheimer’s Disease 2017 4 226235. (https://doi.org/10.14283/jpad.2017.30)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 29

    Ogrodnik M, Miwa S, Tchkonia T, Tiniakos D, Wilson CL, Lahat A, Day CP, Burt A, Palmer A, Anstee QM, et al.Cellular senescence drives age-dependent hepatic steatosis. Nature Communications 2017 8 15691. (https://doi.org/10.1038/ncomms15691)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 30

    Kester MH, Toussaint MJ, Punt CA, Matondo R, Aarnio AM, Darras VM, Everts ME, de Bruin A, & Visser TJ. Large induction of type III deiodinase expression after partial hepatectomy in the regenerating mouse and rat liver. Endocrinology 2009 150 540545. (https://doi.org/10.1210/en.2008-0344)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 31

    Friedrichsen S, Christ S, Heuer H, Schäfer MK, Mansouri A, Bauer K, & Visser TJ. Regulation of iodothyronine deiodinases in the Pax8-/- mouse model of congenital hypothyroidism. Endocrinology 2003 144 777784. (https://doi.org/10.1210/en.2002-220715)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 32

    Reyns GE, Janssens KA, Buyse J, Kühn ER, & Darras VM. Changes in thyroid hormone levels in chicken liver during fasting and refeeding. Comparative Biochemistry and Physiology. Part B, Biochemistry and Molecular Biology 2002 132 239245. (https://doi.org/10.1016/s1096-4959(0100528-0)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 33

    Postic C, Shiota M, Niswender KD, Jetton TL, Chen Y, Moates JM, Shelton KD, Lindner J, Cherrington AD, & Magnuson MA. Dual roles for glucokinase in glucose homeostasis as determined by liver and pancreatic beta cell-specific gene knock-outs using Cre recombinase. Journal of Biological Chemistry 1999 274 305315. (https://doi.org/10.1074/jbc.274.1.305)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 34

    Iwasato T, Nomura R, Ando R, Ikeda T, Tanaka M, & Itohara S. Dorsal telencephalon-specific expression of Cre recombinase in PAC transgenic mice. Genesis 2004 38 130138. (https://doi.org/10.1002/gene.20009)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 35

    Mosieniak G, & Sikora E. Polyploidy: the link between senescence and cancer. Current Pharmaceutical Design 2010 16 734740. (https://doi.org/10.2174/138161210790883714)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 36

    Kim DE, Dollé MET, Vermeij WP, Gyenis A, Vogel K, Hoeijmakers JHJ, Wiley CD, Davalos AR, Hasty P, Desprez PY, et al.Deficiency in the DNA repair protein ERCC1 triggers a link between senescence and apoptosis in human fibroblasts and mouse skin. Aging Cell 2020 19 e13072. (https://doi.org/10.1111/acel.13072)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 37

    Karakasilioti I, Kamileri I, Chatzinikolaou G, Kosteas T, Vergadi E, Robinson AR, Tsamardinos I, Rozgaja TA, Siakouli S, Tsatsanis C, et al.DNA damage triggers a chronic autoinflammatory response, leading to fat depletion in NER progeria. Cell Metabolism 2013 18 403415. (https://doi.org/10.1016/j.cmet.2013.08.011)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 38

    Baar MP, Brandt RMC, Putavet DA, Klein JDD, Derks KWJ, Bourgeois BRM, Stryeck S, Rijksen Y, van Willigenburg H, Feijtel DA, et al.Targeted apoptosis of senescent cells restores tissue homeostasis in response to chemotoxicity and aging. Cell 2017 169 1321 47.e116. (https://doi.org.10.1016/j.cell.2017.02.031)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 39

    Gregg SQ, Gutierrez V, Robinson AR, Woodell T, Nakao A, Ross MA, Michalopoulos GK, Rigatti L, Rothermel CE, Kamileri I, et al.A mouse model of accelerated liver aging caused by a defect in DNA repair. Hepatology 2012 55 609621. (https://doi.org/10.1002/hep.24713)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 40

    Wajner SM, Goemann IM, Bueno AL, Larsen PR, & Maia AL. IL-6 promotes nonthyroidal illness syndrome by blocking thyroxine activation while promoting thyroid hormone inactivation in human cells. Journal of Clinical Investigation 2011 121 18341845. (https://doi.org/10.1172/JCI44678)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 41

    Gauthier BR, Sola-Garcia A, Caliz-Molina , Lorenzo PI, Cobo-Vuilleumier N, Capilla-Gonzalez V, & Martin-Montalvo A. Thyroid hormones in diabetes, cancer, and aging. Aging Cell 2020 19 e13260. (https://doi.org/10.1111/acel.13260)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 42

    Hudgins AD, Tazearslan C, Tare A, Zhu Y, Huffman D, & Suh Y. Age- and tissue-specific expression of senescence biomarkers in mice. Frontiers in Genetics 2018 9 59. (https://doi.org/10.3389/fgene.2018.00059)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 43

    Folgueras AR, Freitas-Rodríguez S, Velasco G, & López-Otín C. Mouse models to disentangle the hallmarks of human aging. Circulation Research 2018 123 905924. (https://doi.org/10.1161/CIRCRESAHA.118.312204)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 44

    Harkema L, Youssef SA, & de Bruin A. Pathology of mouse models of accelerated aging. Veterinary Pathology 2016 53 366389. (https://doi.org/10.1177/0300985815625169)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 45

    Liao CY, & Kennedy BK. Mouse models and aging: longevity and progeria. Current Topics in Developmental Biology 2014 109 249285. (https://doi.org/10.1016/B978-0-12-397920-9.00003-2)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 46

    Birkisdóttir MB, Van’t Sant LJ, Brandt RMC, Barnhoorn S, Hoeijmakers JHJ, Vermeij WP, & Jaarsma D. Purkinje-cell-specific DNA repair-deficient mice reveal that dietary restriction protects neurons by cell-intrinsic preservation of genomic health. Frontiers in Aging Neuroscience 2022 14 1095801. (https://doi.org/10.3389/fnagi.2022.1095801)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 47

    Boelen A, Kwakkel J, Alkemade A, Renckens R, Kaptein E, Kuiper G, Wiersinga WM, & Visser TJ. Induction of type 3 deiodinase activity in inflammatory cells of mice with chronic local inflammation. Endocrinology 2005 146 51285134. (https://doi.org/10.1210/en.2005-0608)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 48

    Simonides WS, Mulcahey MA, Redout EM, Muller A, Zuidwijk MJ, Visser TJ, Wassen FW, Crescenzi A, da-Silva WS, Harney J, et al.Hypoxia-inducible factor induces local thyroid hormone inactivation during hypoxic-ischemic disease in rats. Journal of Clinical Investigation 2008 118 975983. (https://doi.org/10.1172/JCI32824)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 49

    Milanese C, Bombardieri CR, Sepe S, Barnhoorn S, Payan-Gomez C, Caruso D, Audano M, Pedretti S, Vermeij WP, Brandt RMC, et al.DNA damage and transcription stress cause ATP-mediated redesign of metabolism and potentiation of anti-oxidant buffering. Nature Communications 2019 10 4887. (https://doi.org/10.1038/s41467-019-12640-5)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 50

    Tchkonia T, Zhu Y, van Deursen J, Campisi J, & Kirkland JL. Cellular senescence and the senescent secretory phenotype: therapeutic opportunities. Journal of Clinical Investigation 2013 123 966972. (https://doi.org/10.1172/JCI64098)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 51

    Rea IM, Gibson DS, McGilligan V, McNerlan SE, Alexander HD, & Ross OA. Age and age-related diseases: role of inflammation triggers and cytokines. Frontiers in Immunology 2018 9 586. (https://doi.org/10.3389/fimmu.2018.00586)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 52

    Maiden MJ, & Torpy DJ. Thyroid hormones in critical illness. Critical Care Clinics 2019 35 375388. (https://doi.org/10.1016/j.ccc.2018.11.012)

  • 53

    Garinis GA, Uittenboogaard LM, Stachelscheid H, Fousteri M, van Ijcken W, Breit TM, van Steeg H, Mullenders LH, van der Horst GT, Bruning JC, et al.Persistent transcription-blocking DNA lesions trigger somatic growth attenuation associated with longevity. Nature Cell Biology 2009 11 604615. (https://doi.org/10.1038/ncb1866)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 54

    van der Pluijm I, Garinis GA, Brandt RM, Gorgels TG, Wijnhoven SW, Diderich KE, de Wit J, Mitchell JR, van Oostrom C, Beems R, et al.Impaired genome maintenance suppresses the growth hormone–insulin-like growth factor 1 axis in mice with Cockayne syndrome. PLoS Biology 2007 5 e2. (https://doi.org/10.1371/journal.pbio.0050002)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 55

    Araujo RL, Andrade BM, da Silva ML, Ferreira AC, & Carvalho DP. Tissue-specific deiodinase regulation during food restriction and low replacement dose of leptin in rats. American Journal of Physiology. Endocrinology and Metabolism 2009 296 E1157E1163. (https://doi.org/10.1152/ajpendo.90869.2008)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 56

    Ravussin E, Redman LM, Rochon J, Das SK, Fontana L, Kraus WE, Romashkan S, Williamson DA, Meydani SN, Villareal DT, et al.A 2-year randomized controlled trial of human caloric restriction: feasibility and effects on predictors of health span and longevity. Journals of Gerontology. Series A, Biological Sciences and Medical Sciences 2015 70 10971104. (https://doi.org/10.1093/gerona/glv057)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 57

    Most J, & Redman LM. Impact of calorie restriction on energy metabolism in humans. Experimental Gerontology 2020 133 110875. (https://doi.org/10.1016/j.exger.2020.110875)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 58

    Blake NG, Eckland DJ, Foster OJ, & Lightman SL. Inhibition of hypothalamic thyrotropin-releasing hormone messenger ribonucleic acid during food deprivation. Endocrinology 1991 129 27142718. (https://doi.org/10.1210/endo-129-5-2714)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 59

    Bano A, Chaker L, Mattace-Raso FUS, Terzikhan N, Kavousi M, Ikram MA, Peeters RP, & Franco OH. Thyroid function and life expectancy with and without noncommunicable diseases: a population-based study. PLoS Medicine 2019 16 e1002957. (https://doi.org/10.1371/journal.pmed.1002957)

    • PubMed
    • Search Google Scholar
    • Export Citation
  • 60

    Ferrari SM, Fallahi P, Antonelli A, & Benvenga S. Environmental issues in thyroid diseases. Frontiers in Endocrinology 2017 8 50. (https://doi.org/10.3389/fendo.2017.00050)

    • PubMed
    • Search Google Scholar
    • Export Citation