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Rodent models of metabolic disorders: considerations for use in studies of neonatal programming

Published online by Cambridge University Press:  23 September 2021

Kasimu Ghandi Ibrahim*
Affiliation:
Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, P.M.B. 2254, Sokoto, Nigeria Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346 Sokoto, Nigeria
Dawoud Usman
Affiliation:
Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, P.M.B. 2254, Sokoto, Nigeria Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346 Sokoto, Nigeria
Muhammad Bashir Bello
Affiliation:
Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346 Sokoto, Nigeria Department of Veterinary Microbiology, Faculty of Veterinary Medicine, Usmanu Danfodiyo University, P.M.B. 2346 Sokoto, Nigeria
Ibrahim Malami
Affiliation:
Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346 Sokoto, Nigeria Department of Pharmacognosy and Ethnopharmacy, Faculty of Pharmaceutical Sciences, Usmanu Danfodiyo University, P.M.B 2346 Sokoto, Nigeria
Bilyaminu Abubakar
Affiliation:
Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346 Sokoto, Nigeria Department of Pharmacology and Toxicology, Faculty of Pharmaceutical Sciences, Usmanu Danfodiyo University, P.M.B 2346 Sokoto, Nigeria
Murtala Bello Abubakar
Affiliation:
Department of Physiology, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, P.M.B. 2254, Sokoto, Nigeria Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346 Sokoto, Nigeria
Mustapha Umar Imam
Affiliation:
Centre for Advanced Medical Research and Training, Usmanu Danfodiyo University, P.M.B. 2346 Sokoto, Nigeria Department of Medical Biochemistry, Faculty of Basic Medical Sciences, College of Health Sciences, Usmanu Danfodiyo University, P.M.B. 2254 Sokoto, Nigeria
*
*Corresponding author: Kasimu Ghandi Ibrahim, email ghandi.kasimu@udusok.edu.ng
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Abstract

Epidemiologically, metabolic disorders have garnered much attention, perhaps due to the predominance of obesity. The early postnatal life represents a critical period for programming multifactorial metabolic disorders of adult life. Though altricial rodents are prime subjects for investigating neonatal programming, there is still no sufficiently generalised literature on their usage and methodology. This review focuses on establishing five approach-based models of neonatal rodents adopted for studying metabolic phenotypes. Here, some modelled interventions that currently exist to avoid or prevent metabolic disorders are also highlighted. We also bring forth recommendations, guidelines and considerations to aid research on neonatal programming. It is hoped that this provides a background to researchers focused on the aetiology, mechanisms, prevention and treatment of metabolic disorders.

Information

Type
Research Article
Copyright
© The Author(s), 2021. Published by Cambridge University Press on behalf of The Nutrition Society
Figure 0

Table 1. Summary of some publications using the altered litter size model for neonatal programming

Figure 1

Table 2. Summary of some publications using the model of altered lactational condition of the dam for neonatal programming

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Table 3. Summary of some publications using the model of altered lactational condition of the pup for neonatal programming

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Table 4. Summary of some publications using cross-foster or genetic models for neonatal programming

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Table 5. Summary of some publications using combined models for neonatal programming

Figure 5

Fig. 1. An illustration of the litter size model useful for metabolic programming at early postnatal life. Adjustments in litter size (a) small or (b) large; determine milk availability and trigger the development of metabolic phenotypes with age. Using this model, several behaviours and phenotypes have been studied (trace boxes). CR, energetic restriction; eCB, endocannabinoid; GLUT4, glucose transporter 4; IRS, insulin receptor substrate.

Figure 6

Fig. 2. An illustration of the model of altered lactational condition of the dam. Development of the offspring metabolic health following lactation is influenced by maternal exposure and health during lactation via notable changes in milk content (untraced boxes). Using this model, several behaviours and metabolic phenotypes have been studied (traced box). ALA, α-linolenic acid; DHA, docosahexaenoic acid; FA, fatty acid; HFD, high-fat diet; NAFLD, non-alcoholic fatty liver disease; PND, postnatal day; SCD1, stearoyl-CoA desaturase-1; SREBP-1C, sterol regulatory element-binding protein-1c.

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Fig. 3. Illustration of the pup-in-a-cup model used for breeding artificially reared (AR) pups. The pups in warm moist incubators (floating Styrofoam cups insulate the pups from direct contact with heat source, i.e. water bath) water at 40°C from 2 to 13 postnatal day (PND) to keep pup axillary temp at 32–36°C. The intragastric cannula (PE leads) emerge from the lids of the cups (not shown) and pass across to syringe mounted infusion pumps(68). PE, polyethylene.

Figure 8

Fig. 4. Oral supplementation/intermittent feeding of maternally reared (MR) pups. Using this model of altered lactational condition of the pup, several behaviours and phenotypes have been studied (traced box). Fgf21 = fibroblast growth factor-21; NAFLD, non-alcoholic fatty liver disease; OA, oleanolic acid; OS, oligosaccharide; PPAR-α, peroxisome proliferator activated protein -alpha; WAT, white adipose tissue.

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Fig. 5. A cross-foster of litter from a healthy dam to an obese dam. Using the cross-foster model some behaviour and phenotypes have been studied (traced box). Alterations in milk composition influences the offspring metabolic phenotype via epigenetics.

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Table 6. Some physiological parameters to be noted for neonatal programming(11,38,153)

Figure 11

Fig. 6. Showing the anogenital distance of 7 d old Swiss mice (littermates). ♀, anogenital distance of a female pup ≈ 2·5 cm. ♂, anogenital distance of a male pup ≈ 4 cm.