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. 2025 Oct;49(10):2011-2018.
doi: 10.1038/s41366-025-01841-2. Epub 2025 Jul 25.

Predictive markers of obesity and glucose metabolism dysfunction in adult common marmosets (Callithrix jacchus)

Affiliations

Predictive markers of obesity and glucose metabolism dysfunction in adult common marmosets (Callithrix jacchus)

Juan Pablo Arroyo et al. Int J Obes (Lond). 2025 Oct.

Abstract

Objective: Characterize the effects of obesity on common marmoset glucose metabolism and develop predictive markers of glucose metabolism dysfunction.

Methods: Body size, weight, lean mass, fat mass, %fat, resting energy expenditure (REE), and glycosylated hemoglobin (HbA1c) were measured on 51 adult marmosets. Physical activity was assessed using actimeter collars (n = 50). A body mass-per-length parameter (BML) was constructed. Animals were classified as without obesity or with obesity (%fat >10%) and by the age they obtained maximum weight (Maxwt). Correlation, MANOVA, and binary logistic regression were used to examine relationships between parameters; path analysis to explore directional relationships.

Results: Body fat and BML were correlated (r = 0.565, p < 0.001). Both were correlated with HbA1c (r = 0.658; r = 0.764, p < 0.001). Activity was negatively correlated with %fat and REE (r = -0.437, p = 0.002; r = -0.473, p < 0.001). REE was correlated with %fat, BML, and HbA1c (r > 0.5, p < 0.001). Marmosets with obesity were more likely to have elevated HbA1c (>5.7%; odds ratio = 8.25, p = 0.003). BML above 3.4 g/mm predicted obesity (OR = 6.25 [95% CI 1.62-24.02], p = 0.008) and high HbA1c (OR = 29.47 [95% CI 6.21-139.72], p < 0.001). Early Maxwt predicted increased fat mass (F = -0.476, p = 0.015) and high %fat (F = -0.084, p = 0.014).

Conclusion: Both %fat and BML were markers for high HbA1c. Early maximum adult weight predicts increased adiposity and risk of glucose dysfunction.

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Conflict of interest statement

Competing interests: The authors declare no competing interests.

Figures

Fig. 1
Fig. 1. The relationship between body fat% and body mass divided by suprasternal-pubic length (BML).
The two marmosets with diabetes indicated by open circles. BML explained 43.1% of the adjusted variance in body fat%. For every one-unit increase in BML (g/mm), the value of body fat% was predicted to increase by 6.38 (95% CI 4.32–8.44) p < 0.001.
Fig. 2
Fig. 2. The relationship between body fat% and glycosylated hemoglobin (HbA1c).
The two marmosets with diabetes indicated by open circles. Body fat% explained 26.3% of the adjusted variance in HbA1c. For every one-unit increase in body fat%, the value of HbA1c was predicted to increase by 0.169 (95% CI 0.091–0.248) p < 0.001.
Fig. 3
Fig. 3. The relationship between HbA1c and body mass divided by suprasternal-pubic length (BML).
The two marmosets with diabetes indicated by open circles. BML explained 28.3% of the adjusted variance in HbA1c. For every one-unit increase in BML (g/mm), the value of HbA1c was predicted to increase by 1.678 (95% CI 0.937–2.42) p < 0.001.
Fig. 4
Fig. 4. Node diagram for the path analysis model.
Marmosets that achieved maximum body mass earlier, ended up with a larger body size (B = −0.25, p < 0.001). Larger body size predicted higher body mass in proportion to body size (B = 0.02, p = 0.003), and lower activity (B = −1.97, p < 0.001). In turn, higher body mass in proportion to body size (B = −3.81, p = 0.002) and lower activity (B = 0.04, p = 0.01), predicted lower REE per gram of fat mass. Additional statistics available in Table 2.

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