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. 2025 May 19:13:RP103205.
doi: 10.7554/eLife.103205.

Variation in albumin glycation rates in birds suggests resistance to relative hyperglycaemia rather than conformity to the pace of life syndrome hypothesis

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Variation in albumin glycation rates in birds suggests resistance to relative hyperglycaemia rather than conformity to the pace of life syndrome hypothesis

Adrián Moreno Borrallo et al. Elife. .

Abstract

The pace of life syndrome (POLS) hypothesis suggests that organisms' life history and physiological and behavioural traits should co-evolve. In this framework, how glycaemia (i.e. blood glucose levels) and its reaction with proteins and other compounds (i.e. glycation) covary with life history traits remain relatively under-investigated, despite the well-documented consequences of glucose and glycation on ageing, and therefore potentially on life history evolution. Birds are particularly relevant in this context given that they have the highest blood glucose levels within vertebrates and still higher mass-adjusted longevity compared to organisms with similar physiology as mammals. We thus performed a comparative analysis on glucose and albumin glycation rates of 88 bird species from 22 orders in relation to life history traits (body mass, clutch mass, maximum lifespan, and developmental time) and diet. Glucose levels correlated positively with albumin glycation rates in a non-linear fashion, suggesting resistance to glycation in species with higher glucose levels. Plasma glucose levels decreased with increasing body mass, but, contrary to what is predicted in the POLS hypothesis, glucose levels increased with maximum lifespan before reaching a plateau. Finally, terrestrial carnivores showed higher albumin glycation compared to omnivores despite not showing higher glucose, which we discuss may be related to additional factors as differential antioxidant levels or dietary composition in terms of fibres or polyunsaturated fatty acids. These results increase our knowledge about the diversity of glycaemia and glycation patterns across birds, pointing towards the existence of glycation resistance mechanisms within comparatively high glycaemic birds.

Keywords: birds; comparative method; ecology; evolutionary biology; glucose; glycation; life-history; longevity.

Plain language summary

Smaller animals often live shorter lives and use energy at a faster rate than their larger, longer-lived counterparts. This is partly related to differences in their resting metabolic rate, which is the energy expended to maintain basic bodily functions over a given time. For example, mice have high metabolic rates and short lifespans, whereas elephants live much longer and have lower metabolic rates per gram of body mass. However, many birds – despite having high metabolic rates – can live far longer than mammals of a similar size. Birds also have the highest blood glucose levels of any vertebrate group. Through a process known as glycation, glucose and other sugars can attach themselves to molecules such as proteins. The resulting glycated proteins are thought to have negative effects on the body, which can contribute to the ageing process. Therefore, the amount of glycated protein in the blood is often used as a marker for harmful blood glucose levels in humans, which can be indicative of diseases such as diabetes. However, it remained unclear how birds resist the negative impacts of high blood glucose levels and glycation. To investigate, Moreno-Borrallo et al. used measurements from 88 different bird species to explore how glucose levels and glycation of a protein called albumin are related to diet, lifespan and other variables. As expected, species with higher blood glucose levels had higher levels of albumin glycation. However, species with very high glucose levels showed relatively low glycation, suggesting these birds can resist the negative effects of high blood glucose. Surprisingly, the analysis showed that species with higher glucose levels also tended to live longer, although this increase in lifespan eventually levelled off. This is contrary to the idea that species with higher metabolic activity have evolved shorter lifespans. Moreno-Borrallo et al. also showed that glucose levels decrease with body mass but are not related to any other traits. Glycation, on the other hand, is impacted by diet, with land (but not aquatic) carnivores showing higher levels than omnivores. These analyses systematically explore how glucose and glycation levels relate to traits such as lifespan and diet across a wide range of bird species. The results will be valuable to evolutionary biologists and may also have implications for human health, particularly in understanding how glycation can be resisted during ageing. Future research should also focus on identifying which diets may help protect against glycation.

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Conflict of interest statement

AM, SJ, CS, BQ, BR, PB, VV, TB, OC, JG, JM, FB, FC No competing interests declared

Figures

Figure 1.
Figure 1.. Average plasma glucose values in mg/dL (in grey) and average albumin glycation rate as a percentage of total albumin (in blue) from all the species used in this study (some of them with glucose values coming from ZIMs database; see ‘Materials and methods’) with the orders they belong to.
Glucose and glycation values are standardized in order to be compared, with the dotted lines representing half the maximum and maximum values for each variable (as indicated by the axes in their corresponding colours), from inside out. Tree from a consensus on 10,000 trees obtained from ‘Hackett All species’ on Birdtree.org, including 88 species from 22 orders (see ‘Materials and methods).
Figure 2.
Figure 2.. Plasma glucose levels (in mg/dL) variation as a function of (A) species mean-centred body mass and (B) residual maximum lifespan.
Both glucose and body mass are log transformed. Maximum lifespan (in years) is given as the residues of a phylogenetically controlled generalized least-squares model (pGLS) model with body mass (in grams), both log10 transformed, so the effects of body mass on longevity are factored out (see Appendix 1). Different bird orders, are indicated by symbols, as specified on the legends at the right side of the graphs. (A) uses the values and estimates from the glucose model without life history traits (n = 389 individuals from 75 species), while (B) uses only the data points employed on the complete model (n = 326 individuals of 58 species).
Figure 3.
Figure 3.. Outcomes of the models (estimates with interquartile ranges from the posterior distributions and whiskers representing credible intervals) on individual data on effects of diet on (A) plasma glucose levels and (B) albumin glycation in birds.
Glucose levels are given in mg/dL, while glycation levels are a percentage of total plasma albumin which is found to be glycated. Terrestrial carnivores showed significantly higher glycation levels than omnivores (estimate = 21.62 %, CI95[18, 25.95], pMCMC = 0.049). Models without life history traits, including more individuals, are represented, but the models with life history traits do not show differences in their qualitative predictions (i.e. higher albumin glycation in terrestrial carnivores than in omnivores; see Supplementary file 1).
Figure 4.
Figure 4.. Individual albumin glycation rates (as a percentage of total albumin) variation as a function of individual plasma glucose values (mg/dL).
(A) Both variables log10 transformed, as in the model, including the line representing the predicted relationship. (B) Both variables in a linear form, to more explicitly illustrate the phenomenon referred to as higher albumin glycation resistance in birds with higher plasma glucose levels, inferred from the faster increase in glucose than albumin glycation, that is, the negative curvature of the relationship. Different bird orders are indicated by symbols, as specified on the legends at the right side of the graphs. The values and estimates used are from the glycation model without life history traits (n = 379 individuals from 75 species).

Update of

  • doi: 10.1101/2024.07.02.600014
  • doi: 10.7554/eLife.103205.1
  • doi: 10.7554/eLife.103205.2
  • doi: 10.7554/eLife.103205.3

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