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. 2020 Nov 23;10:20323. doi: 10.1038/s41598-020-76346-1

Insights in the regulation of trimetylamine N-oxide production using a comparative biomimetic approach suggest a metabolic switch in hibernating bears

Thomas Ebert 1,#, Johanna Painer 2,#, Peter Bergman 3, Abdul Rashid Qureshi 1, Sylvain Giroud 2, Gabrielle Stalder 2, Karolina Kublickiene 1, Frank Göritz 4, Sebastian Vetter 2, Claudia Bieber 2, Ole Fröbert 5, Jon M Arnemo 6,7, Andreas Zedrosser 8,9, Irene Redtenbacher 10, Paul G Shiels 11, Richard J Johnson 12, Peter Stenvinkel 1,13,
PMCID: PMC7684304  PMID: 33230252

Abstract

Experimental studies suggest involvement of trimethylamine N-oxide (TMAO) in the aetiology of cardiometabolic diseases and chronic kidney disease (CKD), in part via metabolism of ingested food. Using a comparative biomimetic approach, we have investigated circulating levels of the gut metabolites betaine, choline, and TMAO in human CKD, across animal species as well as during hibernation in two animal species. Betaine, choline, and TMAO levels were associated with renal function in humans and differed significantly across animal species. Free-ranging brown bears showed a distinct regulation pattern with an increase in betaine (422%) and choline (18%) levels during hibernation, but exhibited undetectable levels of TMAO. Free-ranging brown bears had higher betaine, lower choline, and undetectable TMAO levels compared to captive brown bears. Endogenously produced betaine may protect bears and garden dormice during the vulnerable hibernating period. Carnivorous eating habits are linked to TMAO levels in the animal kingdom. Captivity may alter the microbiota and cause a subsequent increase of TMAO production. Since free-ranging bears seems to turn on a metabolic switch that shunts choline to generate betaine instead of TMAO, characterisation and understanding of such an adaptive switch could hold clues for novel treatment options in burden of lifestyle diseases, such as CKD.

Subject terms: Zoology, Nephrology

Introduction

With a global prevalence of 10–12%, chronic kidney disease (CKD) is a major health burden associated with increased morbidity, mortality, and reduced quality of life1,2. When patients with CKD have progressed to end-stage kidney disease they exhibit high cardiovascular (CV) mortality3,4. CKD manifests with a progeric phenotype5 and the survival of incident dialysis patients is lower than that of patients with most solid-organ cancers6,7. Some well-established mechanisms linking CKD with CV morbidity and mortality are inflammation8, oxidative stress9, cellular senescence10 and metabolic dysfunction11.

Gut microbes have been associated with CV disease (CVD) and CKD12. Although the gut microbiota directly exert critical pathophysiological effects through metabolism of ingested food, it is also self-regulated by dietary habits and distinct disease states12. Currently, the trimethylamine (TMA) N-oxide (TMAO) pathway (Fig. 1) is one of the most promising targets for a microbiota-directed treatment approach in several burden-of-lifestyle diseases. Gut microbiota metabolize dietary substrates to produce TMA. The essential nutrient choline can be directly metabolized to TMA, but also to betaine, thereby shunting away from TMAO production13. However, if choline production is high, it may result in both increased TMAO and betaine production. Hence, increased betaine could reflect more choline generation and more TMAO production, but could also reflect a relative shunting of choline metabolism to the betaine pathway and away from TMAO production.

Figure 1.

Figure 1

Proposed regulation pattern of betaine, choline, and TMAO in (A) patients with chronic kidney disease (CKD); (B) CKD-protected, hibernating, free-ranging brown bears; and (C) CKD-prone carnivorous felids, e.g. tigers. In patients with CKD (A), high levels of trimethylamine (TMA) N-oxide (TMAO) and choline are detectable, whereas betaine levels are low. Dietary intake of phosphatidyl-choline, betaine, TMA, TMAO, and L-Carnitine contribute to circulating metabolite levels. Gut microbiota can metabolize choline and L-Carnitine to TMA. After intestinal uptake of TMA, hepatic flavin-containing monooxygenases (FMOs) convert TMA into TMAO which exerts adverse cardiometabolic effects. TMAO levels in CKD are especially elevated due to an increased microbial TMA conversion (i.e. gut microbiota dysbiosis), as well as a reduced renal excretion of TMAO. In hibernating, free-ranging brown bears (B), there is no food intake and betaine, choline, and TMAO are endogenously produced. Based on our data, we propose a metabolic switch favouring betaine rather than TMAO synthesis due to increased betaine conversion from choline and reduced gut microbiota-caused TMA production. In carnivorous animals, e.g. tigers (C), dietary intake of phosphatidylcholine, betaine, TMA, TMAO, and L-Carnitine contribute to circulating metabolite levels. Similar to patients with CKD, a metabolic switch favours TMA production by gut microbiota resulting in high TMAO levels that might be involved in the high CKD prevalence of carnivorous felids. Arrow size depicts increased or decreased activation of the respective pathway.

Gaseous TMA is absorbed into the circulation and subsequently oxidized to TMAO in the liver by flavin monooxygenases14. While high choline and TMAO independently predicted the risk for CVD in patients undergoing elective cardiac evaluations, betaine insufficiency is associated with an adverse vascular risk profile in the metabolic syndrome15,16. Moreover, low betaine was associated with components of the metabolic syndrome in healthy men and women17 and betaine supplementation reduced body fat18. Importantly, TMAO levels are increased in CKD, are associated with mortality risk, and induces renal fibrosis19,20. While positive associations with CKD and CVD have been validated especially for TMAO2123, betaine’s and choline’s associations with CVD are mediated by TMAO24, a finding recently validated in a meta-analysis25.

Based on ingenious solutions developed in some animal species during evolution, we have suggested26 that expanding biomedical investigation to new approaches based on a broad awareness of the diversity of animal life and comparative physiology can accelerate innovations in human health care. Natural comparative animal models, such as different nutritional, seasonal and long-time fasting (such as hibernation) patterns and other physiologic adaptions to unfavourable environmental conditions can be used for studying metabolic regulation of the microbiota27,28. Here, we investigated circulating levels of the three metabolites betaine, choline and TMAO (1) in patients with CKD stage 3 and 5 and healthy controls; (2) in different animal species with various dietary habits; (3) during hibernation and active periods in free-ranging brown bears and captive garden dormice (Eliomys quercinus); (4) in free-ranging brown bears (Ursus arctos) and captive brown bears; and (5) cross-sectionally between CKD-prone felids compared to hibernating brown bears and human CKD patients.

Results

Betaine, choline, and TMAO in healthy subjects and patients with CKD

Basic clinical characteristics for healthy subjects and CKD patients have been described previously20. In all patients, median [25–75% interquartile range] serum betaine levels were 8.3 [7.8] ng/µl and significantly decreased with deteriorating renal function (p < 0.001, Fig. 2A). Thus, patients with CKD 5 had the lowest circulating betaine levels compared to healthy control subjects (p < 0.001) and patients with CKD stage 3 (p = 0.003, Fig. 2A). Median circulating choline levels were 7.2 [2.7] ng/µl in the entire human cohort. In contrast to betaine, patients with CKD 5 showed the highest choline levels compared to healthy subjects (p = 0.07, Fig. 2B) and CKD 3 (p = 0.002, Fig. 2B). Serum levels of TMAO in the entire human cohort were 2.3 [5.2] ng/µl. Similar to choline, TMAO significantly increased in kidney disease and patients with CKD 5 had almost 13-fold and sevenfold increased TMAO levels compared to healthy subjects (p < 0.001, Fig. 2C) and patients with CKD 3 (p < 0.001, Fig. 2C), respectively.

Figure 2.

Figure 2

Circulating levels of (A) betaine, (B) choline, and (C) trimethylamine N-oxide (TMAO) in human subjects (black bars) with normal renal function compared to patients with chronic kidney disease (CKD) stage 3 and 5, as well as different animal species, i.e. free-ranging, active brown bears; captive brown bears; captive, active garden dormice; wild boars; captive lions; and captive tigers. Animals are color-coded depending on their diet, i.e. omnivores (dark grey bars), and carnivores (light grey bars). Results are shown as median (interquartile range). Overall p values between the three groups of human subjects, as well as between animal species, were assessed by non-parametric Kruskal–Wallis test. Group-wise comparisons using Bonferroni post hoc analysis are described in the Results section. Number of participants or animals included in each group is depicted.

Betaine, choline, and TMAO levels across species

Betaine, choline, and TMAO levels in active, free-ranging brown bears, captive brown bears, captive garden dormice, as well as wild boars, captive lions, and captive tigers, significantly differed across all species (overall p < 0.001). Thus, active dormice showed the highest circulating betaine levels after correction for multiple testing (Fig. 2A). Whereas the lowest circulating choline levels were observed in active, free-ranging brown bears the highest choline levels were found in active garden dormice (Fig. 2B). Notably, TMAO was detectable in only one out of 15 free-ranging bears, but it was measurable in all captive bears (Fig. 2C).

Hibernation versus active summer state

To investigate the effect of hibernation on betaine, choline, and TMAO levels, the metabolite levels were quantified in two species during hibernation and active periods (i.e. free-ranging brown bears and garden dormice). During hibernation, free-ranging brown bears had significantly (p < 0.05) lower body weight, liver enzymes, urea and higher albumin, total protein, triglycerides, creatinine, and insulin levels compared to the active summer period (Table 1). During hibernation, brown bears had 422% higher betaine levels (47.7 vs. 11.3 ng/µl; p < 0.001) versus the active summer period (Table 1, Fig. 3A). In contrast, choline levels were only 18% higher in winter (4.0 vs. 3.4 ng/µl; p = 0.009) vs. the active summer period (Table 1, Fig. 3B). TMAO levels were below the detection limit in all free-ranging bears during hibernation (Table 1). To investigate if similar changes in betaine, choline and TMAO levels were observed in another hibernating species, we investigated garden dormice. In contrast to hibernating bears, hibernating (i.e. during torpor and interbout interval) garden dormice had significantly lower betaine (4.7 vs. 88.9 ng/µl; p < 0.05) (Fig. 4A) and choline (3.6 vs. 21.4 ng/µl; p < 0.001) (Fig. 4B) concentrations compared to summer active dormice with a pattern similar to body temperature (Fig. 4D). TMAO levels were low during both hibernation and the active state. Active garden dormice, as well as garden dormice during late torpor and early interbout interval, had higher TMAO concentrations compared to hibernating animals in early torpor and during the intermediate interbout interval (all p < 0.05) (Fig. 4C).

Table 1.

Characteristics of free-ranging brown bears during hibernation and the summer active state.

Hibernation winter Active summer p
N 15 15
Sex (male/female) 4/11
Age at winter sampling (years) 3.2 (1.1)
Body weight (kg) 48 (24) 49 (26) 0.008
Albumin (g/l) 36.6 (3.4) 30.5 (3.6) < 0.001
Total protein (g/l) 74.0 (5.2) 57.5 (4.6) < 0.001
Calcium (mmol/l) 2.4 (0.1) 2.3 (0.3) 0.268
Phosphate (mmol/l) 1.5 (0.5) 2.4 (0.9) < 0.001
Total cholesterol (mmol/l) 10.4 (5.8) 6.6 (1.3) 0.063
Triglycerides (mmol/l) 4.1 (1.4) 2.1 (1.2) < 0.001
ALAT (U/l) 12.0 (3.8) 35.5 (18.0) 0.002
ASAT (U/l) 52.5 (19.8) 89.5 (51.5) 0.002
Creatinine (µmol/l) 206 (50) 84 (14) < 0.001
Urea (mmol/l) 3.5 (5.0) 13.6 (6.7) < 0.001
Uric acid (µmol/l) 65 (16) 128 (67) < 0.001
Glucose (mmol/l) 6.9 (2.1) 5.3 (3.4) 0.064
Insulin (mU/l) 2.2 (0.9) 1.5 (1.2) 0.014
Cystein (µmol/l) 134.0 (69.3) 149.4 (73.1) 0.330
CysGly (µmol/l) 20.1 (7.4) 24.6 (7.6) 0.041
Homocystein (µmol/l) 16.0 (6.8) 11.6 (12.6) 0.229
Betaine (ng/µl) 47.7 (36.5) 11.3 (6.2) < 0.001
Choline (ng/µl) 4.0 (1.4) 3.4 (0.6) 0.009
TMAO (ng/µl) 0.0 (0.0) 0.0 (0.0)

Characteristics of the free-ranging brown bears during hibernation and the active state, divided into winter (i.e. hibernation) and summer (i.e. active) blood samplings. ALAT, Alanine transaminase; ASAT, Aspartate transaminase; TMAO, Trimethylamine N-oxide. Values for median (interquartile range) or total number are shown. p values as assessed by non-parametric Wilcoxon signed-rank test.

Figure 3.

Figure 3

Circulating levels of (A) betaine and (B) choline in free-ranging brown bears from the longitudinal Scandinavian Brown Bear Research Project during hibernation, i.e. at hibernation (black bars, during winter) and non-hibernation (white bars, during summer). Results are shown as median (interquartile range). p values as assessed by non-parametric Wilcoxon signed-rank test. Number of brown bears included in each group is depicted. Aiming to investigate differences between hibernating and active time points, four bears were investigated twice in two consecutive years and treated as independent samples for this figure.

Figure 4.

Figure 4

Circulating levels of (A) betaine, (B) choline, (C) trimethylamine N-oxide (TMAO), and (D) body temperature in garden dormice at different time points during hibernation, i.e. non-hibernation (black bars), torpor status (grey bars, stratified into early and late torpor), and interbout interval (white bars, stratified into early and intermediate interbout interval). Results are shown as median (interquartile range). Overall p values between the five groups were assessed by non-parametric Kruskal–Wallis test. Group-wise comparisons using Bonferroni post hoc analysis are described in the Results section. Number of animals included in each group is depicted.

Free-ranging versus captive brown bears

To investigate the impact of captivity, we compared active, free-ranging bears to captive bears. Free-ranging bears had significantly higher betaine levels (11.3 vs. 6.4 ng/µl; p < 0.001) and reduced choline levels (3.4 vs. 10.2 ng/µl; p < 0.001) compared to captive brown bears (Fig. 5A,B). TMAO could only be detected in one free-ranging bear, but was detected in all captive bears (0.04 ng/µl; p < 0.001) (Fig. 5C).

Figure 5.

Figure 5

Circulating levels of (A) betaine, (B) choline, and (C) trimethylamine N-oxide (TMAO) in active, free-ranging brown bears (black bars) compared to captive brown bears from European zoos (grey bars). Results are shown as median (interquartile range). p values between the two groups were assessed by non-parametric Mann–Whitney U test. Number of animals included in each group is depicted. TMAO levels could only be detected in one out of 15 free-ranging brown bears.

Comparison between human CKD stage 3 patients and animals with “CKD-like” status

Grouped by creatinine levels we compared betaine, choline, and TMAO levels between CKD 3 patients, free-ranging brown bears during hibernation, and felids (Table 2). Whereas felids had betaine levels comparable to CKD 3 patients (Fig. 6A), hibernating brown bears had significantly (p < 0.001), fourfold higher betaine levels than CKD 3 patients and felids (Fig. 6A). Furthermore, hibernating brown bears had significantly (p < 0.001) lower choline concentrations than felids and CKD 3 patients (Fig. 6B). Whereas TMAO was undetectable in hibernating brown bears, felids and CKD 3 patients had significantly (p < 0.001) higher TMAO levels (Fig. 6C).

Table 2.

Betaine, choline, TMAO and renal markers in CKD-susceptible felids and CKD-protected hibernating bears in comparison to CKD stage 3 patients.

N Captive lions Captive tigers Hibernating free-ranging brown bears Patients with CKD stage 3 p
11 11 15 30
Age (years) 5.0 (3.0) 2.5 (1.5) 3.2 (1.1) 58.7 (31.1)a,b,c < 0.001
Sex (male/female) 6/5 7/4 4/11 22/8 0.028
Body weight (kg) 155 (33) 110 (30) 48 (24)a,b 78 (20)a,c < 0.001
Body temperature (°C) 38.5 (0.9) 40.3 (1.7) 32.9 (2.0)a,b < 0.001
Creatinine (µmol/l) 175 (81) 173 (41) 206 (50)b 173 (55)c 0.008
Urea (mmol/l) 8.5 (2.9) 7.6 (1.8) 3.5 (5.0) 14.3 (4.0)c < 0.001
Betaine (ng/µl) 7.9 (2.5) 7.5 (1.0) 47.7 (36.5)a,b 8.6 (4.3)c < 0.001
Choline (ng/µl) 9.2 (5.2) 9.2 (33.9) 4.0 (1.4)a,b 6.3 (2.6)c < 0.001
TMAO (ng/µl) 0.13 (0.16) 0.16 (0.14) 0.00 (0.00) 0.80 (0.90)a,b,c < 0.001

Betaine, choline, TMAO, and renal markers in different animal species with a chronic kidney disease (CKD)-like status, e.g. in captive lions, captive tigers, and hibernating, free-ranging brown bears, as well as in patients with CKD stage 3. CKD, Chronic kidney disease; all other abbreviations as indicated in Table 1. Values for median (interquartile range) or total number are shown. Continuous parameters were analysed by Kruskal–Wallis test followed by post-hoc analysis, whereas Chi-squared-test was used for all categorical variables. p values for overall group differences are depicted. Letters in superscript indicate p < 0.05 as compared to captive lionsa, captive tigersb, or hibernating, free-ranging brown bearsc in post-hoc tests.

Figure 6.

Figure 6

Circulating levels of (A) betaine, (B) choline, (C) trimethylamine N-oxide (TMAO), and (D) creatinine in human subjects with chronic kidney disease (CKD) stage 3 (black bars) compared to different animal species with a CKD-like status, i.e. free-ranging brown bears during hibernation (dark grey bars), as well as captive lions and tigers (light grey bars). Results are shown as median (interquartile range). Overall p values between the four groups were assessed by non-parametric Kruskal–Wallis test. Group-wise comparisons using Bonferroni post hoc analysis are described in the Results section. Number of subjects/animals included in each group is depicted. TMAO levels could not be detected in hibernating free-ranging brown bears.

Discussion

In the present study, we applied a comparative biomimetic approach to study circulating levels of betaine, choline, and TMAO in healthy humans, CKD patients and different mammalian species, such as captive felids (susceptible to CKD) and free-ranging hibernating bears (protected against CKD). We report substantial differences in betaine, choline, and TMAO levels between species, dietary habits and hibernation status that provide useful insights when designing studies of susceptibility and protection of CKD, and other burden of lifestyle diseases, in relation to human lifestyle and diet (Fig. 2).

The main finding of the study was the exceptional, more than fourfold, increase in circulating betaine observed in free-ranging brown bears during hibernation compared to betaine levels both in the active summer period of free-ranging brown bears, healthy humans and other mammals (Figs. 2 and 3). Generation of betaine during hibernation may have multiple protective effects. During hibernation, bears are typically anuric and it has been reported that their renal blood flow decreases by 36%, while glomerular filtration rate (GFR) declines by 68% compared with the active state29. Bears have developed an amazing capacity to protect their kidneys during hibernation, and in the spring renal function returns to normal within a couple of weeks30,31. Better understanding of organ protective mechanisms during the vulnerable hibernation period may also provide insights into potential therapies for critically ill patients and organ injury during cold storage and reimplantation during transplantation32.

Betaine is an anti-inflammatory and anti-oxidant essential osmoprotective nutrient involved in liver function, cellular reproduction, and cell volume regulation33. Since a high-quality genome assembly shows that anti-inflammatory pathways are activated in hibernating bears34, the anti-inflammatory potential of betaine in CKD deserves further study. In free-eating healthy human adults there is a negative association between intake of betaine (and choline) and the inflammatory process35. As methyl groups are important for numerous cellular functions, such as DNA methylation, phosphatidylcholine synthesis and protein synthesis, the methyl-donor properties of betaine have clinical implications. Moreover, since betaine enhances lipid metabolism and improves insulin resistance in laboratory mice (Mus musculus f. domesticus) fed a high-fat diet36, high betaine levels may play a role in the healthy obese phenotype37 observed in bears preparing for hibernation38. As betaine has protective effects on isoprenaline-induced renal failure in rats (Rattus norvegica f. domesticus) via a decrease in tumour necrosis factor and nitric oxide synthase39, high betaine levels may also protect kidneys during hibernation. Our observation of lower betaine levels in CKD (Fig. 2) and the finding that betaine inhibits cell proliferation and extracellular matrix deposition40 supports a renal protective effect for betaine. During hibernation bears should be at high risk (physiologic kidney insufficiency + no intake of B-vitamin) of hyperhomocysteinemia; an established risk factor for CV, cerebrovascular and neurodegenerative disease41. However, as we observed no significant increase in homocysteine levels during hibernation (Table 1), high betaine may protect against hyperhomocysteinemia by re-methylation of homocysteine42. Accordingly, homocysteine does not elevate in bat (Myotis pilosus) brains during torpor due to increased expression of betaine-homocysteine S-methyltransferase43. As betaine is an osmolyte that protects proteins, cells and enzymes from environmental stress, such as extreme temperature and lack of water in animals44 and plants45, betaine may have protective effects when organisms are under environmental stress.

It has been reported that betaine improves animal performance and increases lean body mass, meat quality, and reduces fat deposits in meat-producing cattle, pigs and poultry18,46,47. Thus, high betaine during hibernation may protect the bears’ lean body mass and enhance lipolysis, important for energy supply. In humans, high dietary choline and betaine intake have been significantly associated with favourable body composition48. The impact of the endogenous microbiota may be significant in this respect in man. While humans have a synthetic capacity for betaine, this is supplemented via nutritional acquisition of substrates and subsequent conversion to betaine by gut microbes. Seasonal changes in the gut microbiota in bears, with the ability to transfer seasonal metabolic characteristics to germ-free mice via fecal transplants have previously been reported49. As choline and other methyl donors regulate methylation of genes related to memory and cognitive functions50, high betaine and choline levels may also protect their brain during hibernation. In addition to serving as an osmolyte and metabolic intermediate, betaine influences pathways of inhibitory neurotransmitter production-recycling51.

The reason(s) why free-ranging bears can give birth and lactate (conditions associated with high metabolic demand) during hibernation52, are likely physiological and behavioural adaptations through which offspring survive harsh seasonal conditions, such as inclement weather or low food availability5355. The successful development of the fetus depends on optimal dietary intake of folate, choline and betaine involved in one-carbon transfer methylation and related epigenetic effects on gene expression56. Moreover, maternal and postnatal dietary methyl nutrients have effects on the epigenetic machinery that in adulthood may lead to non-communicable diseases57. As the supply of methyl groups is vital during pregnancy, we speculate that high levels of betaine protect the fetuses in pregnant bears during hibernation. Indeed, betaine plays an important role in physiologic pregnancy58, fetal development59,60 and DNA methylation61. Furthermore, in dairy cattle, betaine supplementation increase lactation performance62.

The mechanism(s) by which betaine and choline levels increase during the long period of fasting are unclear. However, in part, the increase may reflect an excessive intake of betaine-rich food in the autumn in preparation for hibernation. As betaine is found in microorganisms, plants, and animal muscle, it is a significant component of many foods. The daily intake of betaine in the human diet ranges from an average of 1 g/d to a high of 2.5 g/d. Nutrients rich in betaine include wheat bran (1339 mg/100 g), wheat germ (1241 mg/100 g), spinach (645 mg/100 g), shrimp (218 mg/100 g), and wheat bread (201 mg/100 g)63. Although some bears in our study area do eat wheat during spring and early summer64, betaine-rich foods are not part of the typical diet of free-ranging Scandinavian brown bears, which on an annual basis usually consists of 50% protein (ants, ungulate carcasses) that is mainly consumed in spring, and 50% carbohydrates (berries) that is mainly consumed in summer and fall65. The betaine content in bilberries is rather low (0.2 mg/100 g)63. However, since free-ranging bears during hyperphagia can eat a massive amount of different berries per day a significant amount of betaine will be ingested in the peak season. As increased intake of betaine- and choline-rich food in the autumn is unlikely to increase circulating betaine as much as fourfold, a metabolic switch that increase endogenous production of choline is likely to occur before and under hibernation. Since ≈30% of phosphatidylcholine can be produced by the sequential methylation of phosphatidyl-ethanolamine (via PE-methyltransferase), the body has the capacity to make choline ´de novo’66. Similarly, Olthof et al.67 have shown that supplementation of choline, as phosphatidylcholine, increases the pool of choline for the production of betaine. Thus, since phospholipids and phosphatidyl-ethanolamine could be used as an endogenous source for choline, further studies need to investigate these metabolic events in hibernating mammals68.

Beside bears, only few mammals and birds are known to give birth and lactate during hibernation69. To investigate if high levels of betaine during hibernation are specific for bears or a feature of temperature changes, we studied garden dormice—another hibernating species. In contrast to bears’ constant hibernation body temperature, dormice have to periodically rewarm from cold torpid states to warm interbout intervals70. We find that whereas betaine and choline are not generated in dormice at 5 °C they are rapidly generated at 37 °C despite fasting (Fig. 4). This supports the hypothesis of a metabolic switch with endogenous betaine production as cell-protective substance during warming-up periods. The torpor-arousal switch is characterized by the accumulation of metabolites of nitrogen (glutamine) and phospholipid (betaine) catabolism in late torpor with the capacity to act as protective osmolytes71.

In contrast to free-ranging hibernating bears, which are protected against CKD and the CKD complications observed in the human uremic phenotype, such as osteoporosis, sarcopenia and arteriosclerosis30, wild and domestic felids are susceptible to CKD72 and arteriosclerosis73. The prevalence of CKD in domestic cats (Felis catus) is high (estimated to affect 1/3 of older cats) and has increased in recent decades72. The tubulointerstitial changes, including fibrosis, that are present in the early stages of feline CKD become more severe in advanced disease72. As transforming growth factor (TGF)-β1 is involved in epithelial cell de-differentiation, growth arrest and apoptosis in feline CKD, it has been suggested that feline CKD is a useful, naturally occurring model of human CKD74. The prevalence of CKD in wild felids is not well studied. However, a recent thesis concluded that CKD is a prevalent disease affecting non-domestic felids throughout zoos in Australia75. In accordance, a study of captive wild felids at German zoos, showed that renal lesions were detected in 33 out of 38 animals76. A variety of factors—including ageing, ischemia, comorbidities and high phosphorus overload due to a carnivorous diet have been implicated as factors that promote felid CKD72.

Gut microbial metabolism of dietary choline, a nutrient abundant in the Western diet, produces TMA and the atherothrombosis- and fibrosis-promoting metabolite TMAO. High TMAO levels are mechanistically linked to atherosclerosis77 and increase the risk for premature CVD78. The high TMAO levels reported in CKD are due to both impaired renal function20 and gut dysbiosis with higher percentages of opportunistic pathogens79. As TMAO promotes interstitial nephritis80, we measured TMAO in felids (Fig. 6). High intake of red meat (especially processed and red meat) has been associated with increased risk of CKD81 and premature ageing in the general population82. Chronic dietary exposures of red meat increase TMAO levels via modulation of the gut microbiota83. We compared CKD 3 patients with felids and hibernating brown bears with comparable levels of S-creatinine (Table 2) and report major differences in betaine and TMAO levels (Fig. 6). Both fasting84 and hibernation85 alter the gut microbiota. As TMAO was not detectable in free-ranging active bears (except one) this suggests that free-ranging brown bears do not synthesize TMA due a “healthy” gut microbiota. It is noticeable that of the eight species of bacteria from two main phyla (Firmicutes and Proteobacteria) that use choline for production of TMA86 none was reported in a study of bear microbiota composition in relation to seasonal changes in energy metabolism49. TMAO promotes vascular calcification87 and the absence of TMAO in free-ranging bears may contribute to their low risk of arteriosclerosis despite massive hypercholesterolemia68.

In contrast to free-ranging bears, TMAO was measurable in all captive bears, likely related to different food habits associated with altered gut microbiota. As captivity and domestication have dramatically reshaped the gastrointestinal microbiota in numerous species, e.g. in wild and domestic equids88, free-ranging and captive Andean bears (Tremarctos ornatus)89, and primates90, loss of diversity (and maybe infection of human microbiota from animal keepers) most likely occurs in captive brown bears, which contributes to the generation of TMAO. Higher Firmicutes to Bacteroidetes enrichment leads to a greater response to dietary TMAO precursor intake91. Thus, differences in microbial composition between humans and the other species likely contribute to the observed difference. As fermented food lowers TMAO levels in healthy adults92, a difference in the amount of ingested fermented food could also contribute to observed differences. To the best of our knowledge, circulating TMAO levels have not previously been measured in a comparative human–animal study. However, high levels of TMAO in muscle tissue have been reported in marine mammals93. As muscle TMAO contents increase linearly with depth in six fish families94, it has been suggested that TMAO counteracts protein-destabilizing forces in deep-sea water. We report that circulating TMAO levels are higher in omnivorous healthy humans compared to other species (Fig. 2C). As humans are the only species in this study that eats fish on a regular basis, this could contribute to higher TMAO levels. Plasma TMAO concentrations were directly associated with dairy consumption and low-grade inflammation95 and in vegans/vegetarians the transformation into TMA via low-abundance microbiota occurs at a markedly lower extent compared to omnivores96.

The results of this descriptive study should be interpreted taking a number of caveats into account. Firstly, the number of healthy controls, CKD patients and animal species are limited. However, even with this rather limited number we have observed major differences between the species. Our sample numbers were, however, too small to enable sex-specific statistics. Secondly, the free-ranging and captive bears were not matched for weight and age. Thirdly, as we do not have information on dietary habits in healthy controls, CKD patients and free ranging bears we cannot relate our findings to dietary exposures. Our study would also have benefited by faecal or circulatory microbiota cultures in the different species. Creatinine, a by-product of muscle catabolism excreted by the kidneys, is considered a reliable index for kidney function. However, as S-creatinine is also affected by muscle mass and meat intake it is possible that higher muscle mass and the carnivorous diet contributes to high S-creatinine levels in tigers and lions.

In conclusion, this comparative biomimetic study suggests that a metabolic switch leading to endogenously produced betaine protects bears and garden dormice during the vulnerable hibernation period. Our data also show that carnivorous eating habits in the animal kingdom are linked to higher TMAO levels. Furthermore, we show a strong association between body temperature and the endogenous production of betaine and the depletion of TMAO. The characterization and manipulation of a metabolic switch that divert choline to generation of betaine instead of TMAO would likely have a major impact in prevention of not only CKD but also other burden of lifestyle diseases.

Materials and methods

Chronic kidney disease patients and healthy controls

Fasting plasma samples from Caucasian CKD stage 3 (eGFR 30–60 ml/min; n = 30) and stage 5 (eGFR < 15 ml/min; n = 121) patients, consecutively recruited into two observational prospective cohort studies, were analysed for betaine, choline, and TMAO. Part of these data have previously been published20. Exclusion criteria were age < 18 years, active hepatitis B/C, HIV or signs of acute infection. The Ethics Committee of the Karolinska Institutet approved the study protocol (244/01, 2007/1663-31/4, 2016/1470-31/4) and informed written consent was obtained from all patients. Eighty age- and sex-matched population-based individuals in the Stockholm region of Sweden, randomly selected by Statistics Bureau of Sweden (www.scb.se) served as controls. No other exclusion criteria than unwillingness to participate in the study were applied in the selection of the healthy controls.

Animal cohorts:

Free-ranging brown bears (Ursus arctos)

The Scandinavian Brown Bear Research Project is a long-term individual-based ecological study of brown bears in central Sweden. All animal handling and sampling was approved by the Swedish Ethical Committee on Animal Experiments (application numbers C212/9 and C47/9) and the Swedish Environmental Protection Agency. Study protocols and procedures have been described previously31. Briefly, blood samples were obtained from 15 free-ranging, sub-adult, 2- to 3-year-old Eurasian brown bears (Ursus arctos) (11 females, mean body weight in winter: 47 kg; four males, mean body weight in winter: 35 kg) in Dalarna County, Sweden, 2010–2012. For this purpose, each bear was captured during hibernation, i.e. in February or March, as well as during the active period in June of the same year. Bears were anesthetized by darting with a combination of tiletamine–zolazepam (1.1 mg/kg), medetomidine (0.03 mg/kg) and ketamine (hibernating animals) or tiletamine–zolazepam (4.7 mg/kg) and medetomidine (0.09 mg/kg) (active animals)31,97. All blood samples were taken from the jugular vein and approximately 1 h after sampling, blood was centrifuged and subsequently immediately frozen on dry ice until storage at − 70 °C31.

Captive brown bears

The captive European brown bears were sampled during regular veterinary health checks. The animals were housed in large, naturalistic enclosures (> 5.000 m2) in Germany, Poland, Kosovo, and Sweden. Only blood samples from healthy individuals were included in this study. Their diet consisted, besides foraging of grass in the enclosure, mainly vegetables, fruits, eggs, and nuts. Occasionally the animals received wild ungulate meat, dog-pellets, berries, and bread. Sampling took place under general anesthesia with ketamine (2.2 mg/kg), medetomidine (0.035 mg/kg), midazolam (0.05 mg/kg), and butorphanol (0.05 mg/kg), after being starved for 10–12 h, with water ad libitum until injection. The jugular vein was used for fasting blood sampling in all 34 bears (18 females, mean body weight: 150 kg; 16 males, mean body weight: 234 kg, age-range 2–16 years old).

Garden dormice

The animals involved were part of a different study on hibernation98 (Austrian Federal Ministry of Education, Science and Research license number 68.205/0137-WF/V/3b/2014) and reviewed and approved by the institutional ethics committee of the Veterinary University in Vienna, Austria and the relevant Austrian authority in accordance with the Austrian Animal Experimentation Act. The garden dormice issued from a breeding colony were kept at the Research Institute of Wildlife Ecology (Vienna, Austria). They were housed in cages equipped with one nest, bedding and nesting material, and kept under natural fluctuations of ambient temperature and photoperiod. During hibernation, they were kept at 4 °C in ventilated cooling units within a customized nest and bedding material under constant darkness. During pre-hibernation period the animals were fed protein pellets (commercially available, processed cat food pellets) enriched with poly-unsaturated fatty acids (PUFAs), linseed, and safflower oil. Fasting blood sampling took place post-mortem from the heart. About 23 dormice (mean body weight: 118.2 g) were sacrificed in active status, whereas 23 different animals (mean body weight: 107.0 g) were investigated in torpor status of hibernation (N = 14 early torpor; N = 9 late torpor), as well as 19 other dormice (mean body weight: 105.4 g) that were euthanized in interbout interval during hibernation (N = 11 early interbout interval; N = 8 intermediate interbout interval).

Captive lions and tigers

Twenty-two animals (11 lions and 11 tigers) were sampled during standard, random veterinary health checks and only healthy individuals were included in the study. The individuals were housed in zoological parks in Europe and fed a standard large carnivore diet consisting of mainly red meat (beef and horse meat), bones, occasional white meat (chicken), and calcium powder. Six male (mean body weight: 178 kg) and five females (mean body weight: 148 kg) lions, as well as seven male (mean body weight: 110.6 kg) and four female tigers (mean body weight: 124.3 kg), were available for the present analysis. Mean age of the lions and tigers was 4.9 and 3.2 years, respectively. All animals were immobilized with a combination of 3.5 mg/kg ketamine, 0.035 mg/kg medetomidine, 0.1 mg/kg midazolam, and 0.05 mg/kg butorphanol. Fasting blood sampling was obtained from the jugular vein. None of the lions and tigers were pregnant at the time of blood sampling and no contraceptive methods were used. All use of samples from tigers and lions were reviewed and approved by the institutional ethics committee of the Veterinary University of Vienna, Austria.

Wild boars (Sus scrofa)

The animal study was reviewed and approved by the institutional ethics committee of the Veterinary University in Vienna, Austria and the relevant Austrian authority in accordance with the Austrian Animal Experimentation Act (Austrian Federal Ministry of Education, Science and Research license numbers 68.205/0224-WF/V/3b/2016 and 68.205/0159-WF/V/3b/2016). Animals were kept under naturalistic conditions in a large acorn forest and supplementary fed with ~ 1.2 kg/animal/day of corn. Details on housing and handling of the animals have been described previously99. Ten 6-year-old, non-pregnant females were available for the present study. The animals were immobilized using a combination of 3.2 mg/kg tiletamine–zolazepam, 0.07 mg/kg medetomidine, and 0.15 mg/kg butorphanol.

Assays

All methods were performed in accordance with relevant guidelines and regulations for humans and animals. In human subjects, plasma heparin samples were obtained after a 12 h fast and stored at − 80 °C prior to measurements. In brown bears, garden dormice, captive lions and tigers, as well as wild boars, blood samples were taken as indicated in the respective section. Quantification of betaine, choline, and TMAO was performed by Liquid chromatography with tandem mass spectrometry with a previously published protocol in a 96-well format22. In more detail, plasma aliquots were spiked with internal standards, comprised of TMAO-D9, betaine-D9, and choline-D9 in 80% methanol. The metabolite extract was collected, 20 µL was transferred to a 96 well plate, and evaporated to dryness. Before analysis, the samples were dissolved in 100 µL 50% MeOH with 13C5-proline as a recovery standard, and subsequently injected into an Agilent 1290 Infinity chromatographic system (Agilent Technologies, Waldbronn, Germany) fitted with an Acquity UPLC Amide column in combination with a VanGuard precolumn (Waters Corporation, Milford, MA). Detection of the metabolites was performed using an Agilent 6490 Triple Quadrupole mass spectrometer (Agilent Technologies, Santa Clara, CA). Data processing was done by MassHunter Quantitative Analysis QQQ (Agilent Technologies Inc. Santa Clara, CA). Importantly, we have previously demonstrated that metabolite levels remain stable and are comparable when using either plasma heparin and serum samples and multiple number of freeze–thaw cycles22. All other parameters in the free-ranging bears, as well as in the captive tigers and lions, were quantified in our in-house lab (Karolinska Institutet, Stockholm, Sweden). Insulin was measured using an enzyme linked immunosorbent assay according to the manufacturer’s instructions (Iso-Insulin, #10-1128-01, Mercodia, Uppsala, Sweden). Cystein, cysteinylglycin, and homocystein levels were measured by HPLC as modified from Ubbink et al.100. Routine parameters, including albumin, total protein, total cholesterol, triglycerides, liver enzymes, markers of renal function, and electrolytes were measured using a fully automated, random access analyser (Konelab, Thermo Fisher Scientific, Vantaa, Finland).

Statistical analysis

SPSS software version 26.0 (IBM, Armonk, NY) and GraphPad Prism 8 (GraphPad Software, San Diego, CA) were used for all statistical analyses. Overall group differences between the three human subgroups (healthy subjects, CKD 3 subjects, CKD 5 subjects), between different species and diets, as well as between animals with CKD-like status (hibernating bears and felids) and human patients with CKD, were assessed by non-parametric Kruskal–Wallis test with Bonferroni post hoc analyses for group-wise comparisons, respectively. Longitudinal data in the Scandinavian Brown Bear Research Project on hibernation compared to non-hibernation periods were analysed using non-parametric Wilcoxon signed-rank test. Comparisons between captive and free-ranging bears were calculated using non-parametric Mann–Whitney U test. A p value of < 0.05 was considered as statistically significant in all analyses.

Author contributions

T.E., J.P., and P.S. wrote the manuscript and researched data. P.B, A.R.Q, S.G., G.S., K.K., S.V., F.G., O.F., J.M.A., and R.J. researched data and reviewed/edited the manuscript. T.E., J.P., and P.S. are the guarantors of this work and, as such, had full access to all the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis.

Funding

Open Access funding provided by Karolinska Institute. TE was supported by a Novo Nordisk postdoctoral fellowship run in partnership with Karolinska Institutet, Stockholm, Sweden, Njurfonden (Swedish Kidney Foundation), a Karolinska Institutet Research Foundation grant, and the EFSD Mentorship Programme supported by AstraZeneca. PS was supported by the Swedish Heart and Lung Foundation (No 20160384), as well as the Strategic Research Programme in Diabetes at Karolinska Institutet (Swedish Research Council grant No 2009-1068). PGS was supported by independent PhD Partnership awards between the University of Glasgow and Constant Pharma Ltd and 4D Pharma limited. OF received funding for bear research from the Lundbeck Foundation (R126-2012-12408, R194-2015-1108, R286-2018-367) and the Augustinus Foundation.

Data availability

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher's note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

These authors contributed equally: Thomas Ebert and Johanna Painer.

References

  • 1.Bikbov B, et al. Global, regional, and national burden of chronic kidney disease, 1990–2017: a systematic analysis for the global burden of disease study 2017. Lancet. 2020 doi: 10.1016/S0140-6736(20)30045-3. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2.Levin A, et al. Global kidney health 2017 and beyond: a roadmap for closing gaps in care, research, and policy. Lancet. 2017;390:1888–1917. doi: 10.1016/S0140-6736(17)30788-2. [DOI] [PubMed] [Google Scholar]
  • 3.de Jager DJ, et al. Cardiovascular and noncardiovascular mortality among patients starting dialysis. JAMA. 2009;302:1782–1789. doi: 10.1001/jama.2009.1488. [DOI] [PubMed] [Google Scholar]
  • 4.Go AS, Chertow GM, Fan D, McCulloch CE, Hsu C. Chronic kidney disease and the risks of death, cardiovascular events, and hospitalization. N. Engl. J. Med. 2004;351:1296–1305. doi: 10.1056/NEJMoa041031. [DOI] [PubMed] [Google Scholar]
  • 5.Kooman JP, Kotanko P, Schols AMWJ, Shiels PG, Stenvinkel P. Chronic kidney disease and premature ageing. Nat. Rev. Nephrol. 2014;10:732–742. doi: 10.1038/nrneph.2014.185. [DOI] [PubMed] [Google Scholar]
  • 6.Stenvinkel P. Chronic kidney disease: a public health priority and harbinger of premature cardiovascular disease. J. Intern. Med. 2010;268:456–467. doi: 10.1111/j.1365-2796.2010.02269.x. [DOI] [PubMed] [Google Scholar]
  • 7.Thomas B, et al. Global cardiovascular and renal outcomes of reduced GFR. J. Am. Soc. Nephrol. 2017;28:2167–2179. doi: 10.1681/ASN.2016050562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Stenvinkel P, et al. Inflammation modifies the paradoxical association between body mass index and mortality in hemodialysis patients. J. Am. Soc. Nephrol. 2016;27:1479–1486. doi: 10.1681/ASN.2015030252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Himmelfarb J, Stenvinkel P, Ikizler TA, Hakim RM. The elephant in uremia: oxidant stress as a unifying concept of cardiovascular disease in uremia. Kidney Int. 2002;62:1524–1538. doi: 10.1046/j.1523-1755.2002.00600.x. [DOI] [PubMed] [Google Scholar]
  • 10.Ebert T, et al. Inflammation and premature ageing in chronic kidney disease. Toxins. 2020;12:227. doi: 10.3390/toxins12040227. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 11.Gansevoort RT, et al. Chronic kidney disease and cardiovascular risk: epidemiology, mechanisms, and prevention. Lancet. 2013;382:339–352. doi: 10.1016/S0140-6736(13)60595-4. [DOI] [PubMed] [Google Scholar]
  • 12.Aron-Wisnewsky J, Clément K. The gut microbiome, diet, and links to cardiometabolic and chronic disorders. Nat. Rev. Nephrol. 2016;12:169–181. doi: 10.1038/nrneph.2015.191. [DOI] [PubMed] [Google Scholar]
  • 13.Ueland PM. Choline and betaine in health and disease. J. Inherit. Metab. Dis. 2011;34:3–15. doi: 10.1007/s10545-010-9088-4. [DOI] [PubMed] [Google Scholar]
  • 14.Tomlinson JAP, Wheeler DC. The role of trimethylamine N-oxide as a mediator of cardiovascular complications in chronic kidney disease. Kidney Int. 2017;92:809–815. doi: 10.1016/j.kint.2017.03.053. [DOI] [PubMed] [Google Scholar]
  • 15.Konstantinova SV, et al. Dietary patterns, food groups, and nutrients as predictors of plasma choline and betaine in middle-aged and elderly men and women. Am. J. Clin. Nutr. 2008;88:1663–1669. doi: 10.3945/ajcn.2008.26531. [DOI] [PubMed] [Google Scholar]
  • 16.Lever M, et al. Plasma lipids and betaine are related in an acute coronary syndrome cohort. PLoS ONE. 2011;6:e21666. doi: 10.1371/journal.pone.0021666. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Konstantinova SV, et al. Divergent associations of plasma choline and betaine with components of metabolic syndrome in middle age and elderly men and women. J. Nutr. 2008;138:914–920. doi: 10.1093/jn/138.5.914. [DOI] [PubMed] [Google Scholar]
  • 18.Gao X, et al. Effect of betaine on reducing body fat—a systematic review and meta-analysis of randomized controlled trials. Nutrients. 2019;11:2480. doi: 10.3390/nu11102480. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.Tang WHW, et al. Gut microbiota-dependent trimethylamine N-oxide (TMAO) pathway contributes to both development of renal insufficiency and mortality risk in chronic kidney disease. Circ. Res. 2015;116:448–455. doi: 10.1161/CIRCRESAHA.116.305360. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.Missailidis C, et al. Serum trimethylamine-N-oxide is strongly related to renal function and predicts outcome in chronic kidney disease. PLoS ONE. 2016;11:e0141738. doi: 10.1371/journal.pone.0141738. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 21.Tang WHW, et al. Intestinal microbial metabolism of phosphatidylcholine and cardiovascular risk. N. Engl. J. Med. 2013;368:1575–1584. doi: 10.1056/NEJMoa1109400. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Tang WHW, et al. Prognostic value of elevated levels of intestinal microbe-generated metabolite trimethylamine-N-oxide in patients with heart failure: refining the gut hypothesis. J. Am. Coll. Cardiol. 2014;64:1908–1914. doi: 10.1016/j.jacc.2014.02.617. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Stubbs JR, et al. Serum trimethylamine-N-oxide is elevated in CKD and correlates with coronary atherosclerosis burden. J. Am. Soc. Nephrol. 2016;27:305–313. doi: 10.1681/ASN.2014111063. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Wang Z, et al. Prognostic value of choline and betaine depends on intestinal microbiota-generated metabolite trimethylamine-N-oxide. Eur. Heart J. 2014;35:904–910. doi: 10.1093/eurheartj/ehu002. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 25.Meyer KA, Shea JW. Dietary choline and betaine and risk of CVD: a systematic review and meta-analysis of prospective studies. Nutrients. 2017;9:711. doi: 10.3390/nu9070711. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 26.Stenvinkel P, Painer J, Johnson RJ, Natterson-Horowitz B. Biomimetics—nature’s roadmap to insights and solutions for burden of lifestyle diseases. J. Intern. Med. 2020;287:238–251. doi: 10.1111/joim.12982. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.O’Toole PW, Shiels PG. The role of the microbiota in sedentary lifestyle disorders and ageing: lessons from the animal kingdom. J. Intern. Med. 2020;287:271–282. doi: 10.1111/joim.13021. [DOI] [PubMed] [Google Scholar]
  • 28.Geiser F. Hibernation. Curr. Biol. 2013;23:R188–R193. doi: 10.1016/j.cub.2013.01.062. [DOI] [PubMed] [Google Scholar]
  • 29.Brown D, Mulhausen R, Andrew D, Seal U. Renal function in anesthetized dormant and active bears. Am. J. Physiol. Leg. Content. 1971;220:293–298. doi: 10.1152/ajplegacy.1971.220.1.293. [DOI] [PubMed] [Google Scholar]
  • 30.Stenvinkel P, Jani AH, Johnson RJ. Hibernating bears (Ursidae): metabolic magicians of definite interest for the nephrologist. Kidney Int. 2013;83:207–212. doi: 10.1038/ki.2012.396. [DOI] [PubMed] [Google Scholar]
  • 31.Stenvinkel P, et al. Metabolic changes in summer active and anuric hibernating free-ranging brown bears (Ursus arctos) PLoS ONE. 2013;8:e72934. doi: 10.1371/journal.pone.0072934. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 32.Quinones QJ, Ma Q, Zhang Z, Barnes BM, Podgoreanu MV. Organ protective mechanisms common to extremes of physiology: a window through hibernation biology. Integr. Comp. Biol. 2014;54:497–515. doi: 10.1093/icb/icu047. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Lever M, Slow S. The clinical significance of betaine, an osmolyte with a key role in methyl group metabolism. Clin. Biochem. 2010;43:732–744. doi: 10.1016/j.clinbiochem.2010.03.009. [DOI] [PubMed] [Google Scholar]
  • 34.Srivastava A, et al. Genome assembly and gene expression in the American black bear provides new insights into the renal response to hibernation. DNA Res. 2019;26:37–44. doi: 10.1093/dnares/dsy036. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 35.Detopoulou P, Panagiotakos DB, Antonopoulou S, Pitsavos C, Stefanadis C. Dietary choline and betaine intakes in relation to concentrations of inflammatory markers in healthy adults: the ATTICA study. Am. J. Clin. Nutr. 2008;87:424–430. doi: 10.1093/ajcn/87.2.424. [DOI] [PubMed] [Google Scholar]
  • 36.Du J, et al. Betaine supplementation enhances lipid metabolism and improves insulin resistance in mice fed a high-fat diet. Nutrients. 2018;10:131. doi: 10.3390/nu10020131. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 37.Blüher M. Metabolically healthy obesity. Endocr. Rev. 2020;41:405–420. doi: 10.1210/endrev/bnaa004. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.von Linde MB, Arevström L, Fröbert O. Insights from the den: how hibernating bears may help us understand and treat human disease. Clin. Transl. Sci. 2015;8:601–605. doi: 10.1111/cts.12279. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 39.Ghartavol MM, Aziz SG-G, Babaei G, Farjah GH, Ansari MHK. The protective impact of betaine on the tissue structure and renal function in isoproterenol-induced myocardial infarction in rat. Mol. Genet. Genom. Med. 2019;7:e00579. doi: 10.1002/mgg3.579. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 40.Li X, Wang L, Ma H. Betaine alleviates high glucose-induced mesangial cell proliferation by inhibiting cell proliferation and extracellular matrix deposition via the AKT/ERK1/2/p38 MAPK pathway. Mol. Med. Rep. 2019;20:1754–1760. doi: 10.3892/mmr.2019.10391. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Azzini E, Ruggeri S, Polito A. Homocysteine: its possible emerging role in at-risk population groups. Int. J. Mol. Sci. 2020;21:1421. doi: 10.3390/ijms21041421. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 42.Obeid R. The metabolic burden of methyl donor deficiency with focus on the betaine homocysteine methyltransferase pathway. Nutrients. 2013;5:3481–3495. doi: 10.3390/nu5093481. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 43.Zhang Y, Zhu T, Wang L, Pan Y-H, Zhang S. Homocysteine homeostasis and betaine-homocysteine S-methyltransferase expression in the brain of hibernating bats. PLoS ONE. 2013;8:e85632. doi: 10.1371/journal.pone.0085632. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Ratriyanto A, Mosenthin R. Osmoregulatory function of betaine in alleviating heat stress in poultry. J. Anim. Physiol. Anim. Nutr. 2018;102:1634–1650. doi: 10.1111/jpn.12990. [DOI] [PubMed] [Google Scholar]
  • 45.Sakamoto A, Murata N. The role of glycine betaine in the protection of plants from stress: clues from transgenic plants. Plant Cell Environ. 2002;25:163–171. doi: 10.1046/j.0016-8025.2001.00790.x. [DOI] [PubMed] [Google Scholar]
  • 46.Eklund M, Bauer E, Wamatu J, Mosenthin R. Potential nutritional and physiological functions of betaine in livestock. Nutr. Res. Rev. 2005;18:31–48. doi: 10.1079/NRR200493. [DOI] [PubMed] [Google Scholar]
  • 47.Matthews JO, Southern LL, Higbie AD, Persica MA, Bidner TD. Effects of betaine on growth, carcass characteristics, pork quality, and plasma metabolites of finishing pigs. J. Anim. Sci. 2001;79:722–728. doi: 10.2527/2001.793722x. [DOI] [PubMed] [Google Scholar]
  • 48.Gao X, et al. Higher dietary choline and betaine intakes are associated with better body composition in the adult population of Newfoundland, Canada. PLoS ONE. 2016;11:e0155403. doi: 10.1371/journal.pone.0155403. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Sommer F, et al. The gut microbiota modulates energy metabolism in the hibernating brown bear Ursus arctos. Cell Rep. 2016;14:1655–1661. doi: 10.1016/j.celrep.2016.01.026. [DOI] [PubMed] [Google Scholar]
  • 50.Bekdash RA. Neuroprotective effects of choline and other methyl donors. Nutrients. 2019;11:2995. doi: 10.3390/nu11122995. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Knight LS, Piibe Q, Lambie I, Perkins C, Yancey PH. Betaine in the brain: characterization of betaine uptake, its influence on other osmolytes and its potential role in neuroprotection from osmotic stress. Neurochem. Res. 2017;42:3490–3503. doi: 10.1007/s11064-017-2397-3. [DOI] [PubMed] [Google Scholar]
  • 52.Friebe A, et al. Factors affecting date of implantation, parturition, and den entry estimated from activity and body temperature in free-ranging brown bears. PLoS ONE. 2014;9:e101410. doi: 10.1371/journal.pone.0101410. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Thorkelson J, Maxwell RK. Design and testing of a heat transfer model of a raccon (Procyon lotor) in a closed tree den. Ecology. 1974;55:29–39. doi: 10.2307/1934615. [DOI] [Google Scholar]
  • 54.Pelton MR, Beeman LE, Den Eagar DC. Selection by black bears in the great smoky mountains national park. Bears Biol. Manag. 1980;4:149–151. [Google Scholar]
  • 55.Johnson KG, Pelton MR. Selection and availability of dens for black bears in Tennessee. J. Wildl. Manag. 1981;45:111–119. doi: 10.2307/3807879. [DOI] [Google Scholar]
  • 56.Zeisel SH. Importance of methyl donors during reproduction. Am. J. Clin. Nutr. 2009;89:673S–677S. doi: 10.3945/ajcn.2008.26811D. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 57.Randunu RS, Bertolo RF. The effects of maternal and postnatal dietary methyl nutrients on epigenetic changes that lead to non-communicable diseases in adulthood. Int. J. Mol. Sci. 2020;21:3290. doi: 10.3390/ijms21093290. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Nanobashvili K, et al. Maternal choline and betaine supplementation modifies the placental response to hyperglycemia in mice and human trophoblasts. Nutrients. 2018;10:1507. doi: 10.3390/nu10101507. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 59.Karunamuni G, et al. Supplementation with the methyl donor betaine prevents congenital defects induced by prenatal alcohol exposure. Alcohol. Clin. Exp. Res. 2017;41:1917–1927. doi: 10.1111/acer.13495. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 60.Joselit Y, et al. Maternal betaine supplementation affects fetal growth and lipid metabolism of high-fat fed mice in a temporal-specific manner. Nutr. Diabetes. 2018;8:1–11. doi: 10.1038/s41387-018-0035-z. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Pauwels S, et al. Maternal intake of methyl-group donors affects DNA methylation of metabolic genes in infants. Clin. Epigenet. 2017;9:16. doi: 10.1186/s13148-017-0321-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 62.Wang C, et al. Effects of betaine supplementation on rumen fermentation, lactation performance, feed digestibilities and plasma characteristics in dairy cows. J. Agric. Sci. 2010;148:487–495. doi: 10.1017/S0021859610000328. [DOI] [Google Scholar]
  • 63.Zeisel SH, Mar M-H, Howe JC, Holden JM. Concentrations of choline-containing compounds and betaine in common foods. J. Nutr. 2003;133:1302–1307. doi: 10.1093/jn/133.5.1302. [DOI] [PubMed] [Google Scholar]
  • 64.Elfström M, et al. Do Scandinavian brown bears approach settlements to obtain high-quality food? Biol. Conserv. 2014;178:128–135. doi: 10.1016/j.biocon.2014.08.003. [DOI] [Google Scholar]
  • 65.Stenset NE, et al. Seasonal and annual variation in the diet of brown bears Ursus arctos in the boreal forest of southcentral Sweden. Wildl. Biol. 2016;22:107–116. doi: 10.2981/wlb.00194. [DOI] [Google Scholar]
  • 66.Sanders LM, Zeisel SH. Choline: dietary requirements and role in brain development. Nutr. Today. 2007;42:181–186. doi: 10.1097/01.NT.0000286155.55343.fa. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 67.Olthof MR, Brink EJ, Katan MB, Verhoef P. Choline supplemented as phosphatidylcholine decreases fasting and postmethionine-loading plasma homocysteine concentrations in healthy men. Am. J. Clin. Nutr. 2005;82:111–117. doi: 10.1093/ajcn/82.1.111. [DOI] [PubMed] [Google Scholar]
  • 68.Arinell K, et al. Brown bears (Ursus arctos) seem resistant to atherosclerosis ­despite highly elevated plasma lipids during hibernation and active state. Clin. Transl. Sci. 2012;5:269–272. doi: 10.1111/j.1752-8062.2011.00370.x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 69.McAllan BM, Geiser F. Torpor during reproduction in mammals and birds: dealing with an energetic conundrum. Integr. Comp. Biol. 2014;54:516–532. doi: 10.1093/icb/icu093. [DOI] [PubMed] [Google Scholar]
  • 70.Mahlert B, et al. Implications of being born late in the active season for growth, fattening, torpor use, winter survival and fecundity. eLife. 2018;7:e31225. doi: 10.7554/eLife.31225. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Serkova NJ, Rose JC, Epperson LE, Carey HV, Martin SL. Quantitative analysis of liver metabolites in three stages of the circannual hibernation cycle in 13-lined ground squirrels by NMR. Physiol. Genom. 2007;31:15–24. doi: 10.1152/physiolgenomics.00028.2007. [DOI] [PubMed] [Google Scholar]
  • 72.Brown CA, Elliott J, Schmiedt CW, Brown SA. Chronic kidney disease in aged cats: clinical features, morphology, and proposed pathogeneses. Vet. Pathol. 2016;53:309–326. doi: 10.1177/0300985815622975. [DOI] [PubMed] [Google Scholar]
  • 73.Ginzinger DG, et al. Diet-induced atherosclerosis in the domestic cat. Lab. Investig. J. Technol. Methods Pathol. 1997;77:409–419. [PubMed] [Google Scholar]
  • 74.Lawson JS, et al. The cat as a naturally occurring model of renal interstitial fibrosis: characterisation of primary feline proximal tubular epithelial cells and comparative pro-fibrotic effects of TGF-β1. PLoS ONE. 2018;13:e0202577. doi: 10.1371/journal.pone.0202577. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 75.D'Arcy R. Chronic Kidney Disease in Non-Domestic Felids in Australian Zoos. Sydney: The University of Sydney; 2018. [Google Scholar]
  • 76.Junginger J, et al. Pathology in captive wild felids at german zoological gardens. PLoS ONE. 2015;10:e0130573. doi: 10.1371/journal.pone.0130573. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 77.Bennett BJ, et al. Trimethylamine-N-Oxide, a metabolite associated with atherosclerosis, exhibits complex genetic and dietary regulation. Cell Metab. 2013;17:49–60. doi: 10.1016/j.cmet.2012.12.011. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Tang WHW, Hazen SL. The contributory role of gut microbiota in cardiovascular disease. J. Clin. Investig. 2014;124:4204–4211. doi: 10.1172/JCI72331. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Xu K-Y, et al. Impaired renal function and dysbiosis of gut microbiota contribute to increased trimethylamine-N-oxide in chronic kidney disease patients. Sci. Rep. 2017;7:1–12. doi: 10.1038/s41598-016-0028-x. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Nilaksh G, et al. Targeted Inhibition of gut microbial trimethylamine N-oxide production reduces renal tubulointerstitial fibrosis and functional impairment in a murine model of chronic kidney disease. Arterioscler. Thromb. Vasc. Biol. 2020;40:1239–1255. doi: 10.1161/ATVBAHA.120.314139. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 81.Lew Q-LJ, et al. Red meat intake and risk of ESRD. J. Am. Soc. Nephrol. 2017;28:304–312. doi: 10.1681/ASN.2016030248. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 82.McClelland R, et al. Accelerated ageing and renal dysfunction links lower socioeconomic status and dietary phosphate intake. Aging. 2017;8:1135–1149. doi: 10.18632/aging.100948. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 83.Thøgersen R, et al. Background diet influences TMAO concentrations associated with red meat intake without influencing apparent hepatic TMAO-related activity in a porcine model. Metabolites. 2020;10:57. doi: 10.3390/metabo10020057. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 84.Crawford PA, et al. Regulation of myocardial ketone body metabolism by the gut microbiota during nutrient deprivation. Proc. Natl. Acad. Sci. 2009;106:11276–11281. doi: 10.1073/pnas.0902366106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 85.Carey HV, Walters WA, Knight R. Seasonal restructuring of the ground squirrel gut microbiota over the annual hibernation cycle. Am. J. Physiol. Regul. Integr. Comp. Physiol. 2012;304:R33–R42. doi: 10.1152/ajpregu.00387.2012. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 86.Romano KA, Vivas EI, Amador-Noguez D, Rey FE. Intestinal microbiota composition modulates choline bioavailability from diet and accumulation of the proatherogenic metabolite trimethylamine-N-oxide. Mbio. 2015;6:1. doi: 10.1128/mBio.02481-14. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 87.Xiuli Z, et al. Trimethylamine-N-oxide promotes vascular calcification through activation of NLRP3 (nucleotide-binding domain, leucine-rich-containing family, pyrin domain-containing-3) inflammasome and NF-κB (nuclear factor κB) signals. Arterioscler. Thromb. Vasc. Biol. 2020;40:751–765. doi: 10.1161/ATVBAHA.119.313414. [DOI] [PubMed] [Google Scholar]
  • 88.Metcalf JL, et al. Evaluating the impact of domestication and captivity on the horse gut microbiome. Sci. Rep. 2017;7:15497. doi: 10.1038/s41598-017-15375-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Borbón-García A, Reyes A, Vives-Flórez M, Caballero S. Captivity shapes the gut microbiota of andean bears: insights into health surveillance. Front. Microbiol. 2017;8:1316. doi: 10.3389/fmicb.2017.01316. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 90.Clayton JB, et al. Captivity humanizes the primate microbiome. Proc. Natl. Acad. Sci. 2016;113:10376–10381. doi: 10.1073/pnas.1521835113. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 91.Cho CE, et al. Trimethylamine-N-oxide (TMAO) response to animal source foods varies among healthy young men and is influenced by their gut microbiota composition: a randomized controlled trial. Mol. Nutr. Food Res. 2017;61:1600324. doi: 10.1002/mnfr.201600324. [DOI] [PubMed] [Google Scholar]
  • 92.Burton KJ, et al. Trimethylamine-N-Oxide postprandial response in plasma and urine is lower after fermented compared to non-fermented dairy consumption in healthy adults. Nutrients. 2020;12:234. doi: 10.3390/nu12010234. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 93.Seibel BA, Walsh PJ. Trimethylamine oxide accumulation in marine animals: relationship to acylglycerol storage. J. Exp. Biol. 2002;205:297–306. doi: 10.1242/jeb.205.3.297. [DOI] [PubMed] [Google Scholar]
  • 94.Samerotte AL, Drazen JC, Brand GL, Seibel BA, Yancey PH. Correlation of trimethylamine oxide and habitat depth within and among species of teleost fish: an analysis of causation. Physiol. Biochem. Zool. 2007;80:197–208. doi: 10.1086/510566. [DOI] [PubMed] [Google Scholar]
  • 95.Rohrmann S, Linseisen J, Allenspach M, von Eckardstein A, Müller D. Plasma concentrations of trimethylamine-n-oxide are directly associated with dairy food consumption and low-grade inflammation in a german adult population. J. Nutr. 2016;146:283–289. doi: 10.3945/jn.115.220103. [DOI] [PubMed] [Google Scholar]
  • 96.Koeth RA, et al. l-carnitine in omnivorous diets induces an atherogenic gut microbial pathway in humans. J. Clin. Invest. 2019;129:373–387. doi: 10.1172/JCI94601. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Arnemo, J. M. & Evans, A. Biomedical Protocols for Free-ranging Brown Bears, Wolves, Wolverines and Lynx. https://brage.inn.no/inn-xmlui/handle/11250/2444409 (2017) 10.13140/RG.2.2.30359.37286.
  • 98.Giroud S, et al. Dietary Lipids Affect the Onset of Hibernation in the Garden Dormouse (Eliomys quercinus): Implications for Cardiac Function. Front. Physiol. 2018;9:1235. doi: 10.3389/fphys.2018.01235. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Vetter SG, et al. Shy is sometimes better: personality and juvenile body mass affect adult reproductive success in wild boars, Sus scrofa. Anim. Behav. 2016;115:193–205. doi: 10.1016/j.anbehav.2016.03.026. [DOI] [Google Scholar]
  • 100.Ubbink JB, et al. The prevalence of homocysteinemia and hypercholesterolemia in angiographically defined coronary heart disease. Klin. Wochenschr. 1991;69:527–534. doi: 10.1007/BF01649290. [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

The datasets generated during and/or analysed during the current study are available from the corresponding author on reasonable request.


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