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. 2018 Jun 14;18(7):47. doi: 10.1007/s11892-018-1003-7

Type 1 Diabetes in a Resource-Poor Setting: Malnutrition Related, Malnutrition Modified, or Just Diabetes?

Shitaye Alemu Balcha 1, David IW Phillips 2,, Elisabeth R Trimble 3
PMCID: PMC6002435  PMID: 29904886

Abstract

Purpose of Review

Very little is known about the occurrence of type 1 diabetes (T1DM) in resource-poor countries and particularly in their rural hinterlands.

Recent Findings

Studies of the epidemiology of T1DM in Ethiopia and similar countries in sub-Saharan Africa show that the pattern of presenting disease differs substantially from that in the West. Typically, the peak age of onset of the disease is more than a decade later with a male excess and a low prevalence of indicators of islet-cell autoimmunity. It is also associated with markers of undernutrition.

Summary

These findings raise the question as to whether the principal form of T1DM seen in these resource-poor communities has a different pathogenesis. Whether the disease is a direct result of malnutrition or whether malnutrition may modify the expression of islet-cell autoimmunity is unclear. However, the poor prognosis in these settings underlines the urgent need for detailed clinical and epidemiological studies.

Keywords: Malnutrition-related diabetes, Type 1 DM, Resource-poor countries, Epidemiology, Undernutrition

Introduction

There is a lack of good clinical and epidemiological studies of type 1 diabetes (T1DM) in resource-poor settings. The neglect is particularly evident in sub-Saharan Africa despite increasing recognition that T1DM is a significant and widespread health problem associated with unacceptably high rates of morbidity and mortality [1•]. Much of what we know in this part of the world is based on small-scale reports, often centred on urban areas. The data that do exist have suggested a disease pattern very unlike that found in the West, with an older age of clinical onset and the widespread occurrence of atypical forms [2••, 3•]. Furthermore, most of sub-Saharan Africa’s population still live in rural areas, and even less is known about the epidemiology of T1DM in these communities where traditional diets and lifestyle tend to be the norm together with food insecurity and under- rather than overnutrition. Studies of diabetes in these areas are particularly difficult to carry out because of the lack of medical staff, appropriate infrastructure and specialist laboratory analyses.

Type 1 Diabetes in a Resource-Poor Setting

We have studied T1DM in Ethiopia, a country which has experienced many severe famines and in which more than 50% of children have evidence of nutritional stunting. Chronic undernutrition is common not only during intrauterine life and early childhood but also during the entire period of growth and adult life [4]. These studies together with recent similar studies in comparable populations suggest that there are major differences in the age and gender of presenting cases together with marked urban-rural variations in incidence. Importantly, they also suggest that there are differences in the role that autoimmunity plays in the pathogenesis of the disease, and highlight a possible contribution of undernutrition.

Studies on T1DM have been undertaken for more than a decade in two Ethiopian university centres, Gondar and Jimma, 750 km northwest and 330 km southwest of the capital, Addis Ababa, respectively. Each university hospital is linked to several clinics deep in the surrounding rural areas: these clinics consult with and are overseen by health care staff from the university centres. In this way, it has been possible to assess disease incidence, including T1DM, and evaluate differences between town and country. A study involving these two university centres in Ethiopia gave interesting results with respect to age of onset and differences between urban and rural areas.

We found very low incidence of TIDM in childhood (3.3% diagnosed under 15 years) followed by a rapid increase in the mid-teens up to the age of 30 [5•]. This is illustrated in Fig. 1 which shows the age of presentation of a consecutive series of over 2280 diabetic patients over a 14-year period; nearly a half of the patients had T1DM. There were similar findings in a third culturally distinct area of Ethiopia, Mekelle [6], South Africa [7] and Cameroon [8]. By contrast, the pattern of disease reported from diabetes registries in the West show a much higher incidence rate in the under-15 age group (50–60%) with peak incidence at or before puberty [9]. As the rural areas of Ethiopia and other developing countries are exceptionally remote it is possible that some cases, especially in young children, may die undiagnosed. However, this is unlikely to be so in the urban areas where paediatric and diabetes services have been established for many years. For example, Kalk and colleagues in South Africa have reported a low incidence of childhood T1DM from a mainly urban population of Soweto with well-established paediatric medical services [7]. Another striking feature of the disease in Ethiopia was the male excess. Overall, the annual incidence in men was twice as high as that in women with the male excess more marked in the 15- to 40-year age group (sex ratio 2.4:1) than in those diagnosed at younger than 15 years (sex ratio 1.2:1). We have also found differences in incidence between urban and rural areas. In Ethiopia, urban centres had higher incidence rates than the surrounding rural areas [5•]; the annual urban rates were 11.9 and 6.1 per 100,000 for men and women, respectively, rates that did not differ much from Swedish figures for the 15–34 age group, the age group in which most of the Ethiopian cases occur [9]. By contrast, the corresponding rates for the rural communities were 2.2 and 1.0 per 100,000 for men and women, respectively. More than 90% of the population live in rural areas so, despite the lower incidence rate, the total number of T1DM cases in the rural areas was more than twice the number in the urban areas—an important fact for infrastructure planning for rural communities.

Fig. 1.

Fig. 1

Age frequency of a series of 2280 patients with diabetes presenting at Gondar and Jimma hospitals, Ethiopia, 1995–2008. (Based on ref. 5). T1DM type 1 diabetes, T2DM type 2 diabetes

Of particular interest is the effect of transition to a more western lifestyle which has been studied in Jews who have emigrated to Israel from Ethiopia; a large number originated from the rural areas around Gondar, an area included in our survey of T1DM [10•]. Not only was there an increase in the incidence of T1DM to one of the highest in Israel but also, in those carrying two high-risk susceptibility genes for T1DM, there was a reduction in the age of onset which correlated with the time the family had lived in Israel before the birth of the diabetic subject [11]. This suggests that lifestyle has an effect on the epidemiology of T1DM within Ethiopia and exposure to environmental factors (nutritional and other) causes a disease transition to a ‘Western pattern’ of diabetes with an earlier onset. This is supported by the finding that migrants to Sweden whose parents came from east Africa showed an increased incidence of T1DM [12].

A Role for Undernutrition?

In a case-control study in Ethiopia, we showed that T1DM was strongly associated with poverty and markers of undernutrition, most marked in the rural cases. Affected patients reported a history of childhood malnutrition, and the loss of the patient’s mother during early childhood; this was coupled with evidence of disproportionate skeletal growth, especially in men, and other evidences of poverty and overcrowding [10•]. However, the clearest evidence for undernutrition as an aetiological factor in diabetes comes from animal studies. Reductions in total food intake during pregnancy or early postnatal life lead to decreased glucose tolerance and diabetes in the offspring. The rodent maternal protein-restricted model is one of the most extensively studied. Low-protein-fed (5–8%) dams give birth to growth-restricted offspring and when suckled by the same low-protein-fed dams during lactation, they remain permanently growth-restricted, despite being weaned on to a control (20% protein) diet. This dietary manipulation approximates to the levels of protein nutrition observed in developing countries [13]. Undernutrition at particular times in pregnancy affects the methylation and alters the activity of many genes that control hepatic and pancreatic function. These epigenetic changes alter genes that control growth and transcription factors important for pancreatic development and β-cell differentiation such as IGF2 [14], PDX1 [15] and HNF4-α [16], resulting in a permanently reduced β-cell mass and reduced insulin secretion. Altered HNF4-α function (gene mutations or deletions) in humans has also been associated with maturity onset diabetes of the young, a non-obese form of diabetes that can be mistaken for T1DM [17]. Deficiencies in the postnatal diet can also affect IGF2 imprinting in mice and lead to reduced IGF2 levels [14]. Changes in micronutrient levels alone in the peri-conceptual period can alter the methylation of many genes, even when the caloric intake is maintained. In sheep, altered levels of micronutrients that contribute to the methylation process such as vitamin B12, folic acid and methionine have been shown to change the methylation status of many genes in the liver and pancreas; it is of interest that more than 50% of the affected loci are specific to males [18]. In humans, epidemiological evidence for an effect of early undernutrition on the development of diabetes has come from a study of men and women born during the Dutch Winter Famine of 1944–45 showing that gross total undernutrition during gestation resulted in poorer glucose tolerance and impaired insulin secretion when followed up 60 years later [19, 20].

Most studies have linked early undernutrition with insulin resistance and type 2 diabetes (T2DM), for example in South India where low BMI and low vitamin B12 status during pregnancy is associated with intrauterine growth retardation [21] and insulin-resistant diabetes in the offspring [22]. However, it is clear that T1DM can also occur and that the effects of early undernutrition are manifest as T1DM or T2DM according to the degree, timing and macro- or micronutrient specificity of the nutritional deficit. In the case of people living in urban areas of developing countries, a change to a western-type diet and the development of obesity would increase the risk of developing insulin-resistant T2DM.

Islet-cell Autoimmunity in Sub-Saharan Africa

Autoimmunity is believed to be a very important factor in the aetiology of T1DM, especially that arising in childhood. Recent studies have reported rates of islet autoantibody positivity ranging from 30% in Tanzania [23], 29–35% in Ethiopia [24•, 25] to 43% in Cameroon [8] in T1DM. These studies have been carried out for the most part in adult patients and some in mainly urban areas. It is known that in Caucasian patients, the rates of autoantibody positivity in T1DM decrease with age of onset in newly diagnosed cases; typical values for autoantibody positivity are 85–98% positive with onset at the age of 15 years and under [26], 76% positive with onset at 15–34 years [27] and 67% with onset at 34 years and above [28]. These results suggest that, even when using age-appropriate comparisons, the proportion of diabetes resulting from autoimmunity in sub-Saharan Africa may be lower than in the European population. Recent reports from Cameroon [8], Tunisia [29] and Egypt [30] have drawn attention to the influence of HLA status on autoantibody production in T1DM in these countries. In regions where there are lower frequencies of diabetes-associated HLA haplotypes, there may be fewer cases of diabetes with an autoimmune basis, although this is unlikely to be the only factor. This is an area that requires further study in order to define more clearly the role of autoimmunity in the aetiology of T1DM in other areas of Africa.

The low rates of autoimmunity in sub-Saharan Africa may be due to a higher proportion of the patients having non-immunogenic diabetes as a result of impaired pancreatic β-cell development as described above. However, it is also possible that the reduced propensity to islet-cell autoimmunity reflects the effects of chronic undernutrition on the immune system. In the Gambia, severe malnutrition in subsistence farmers occurs for several months each year (the ‘hungry’ season) before the next harvest. Children born in the ‘hungry’ season show evidence of intrauterine growth retardation and have a smaller thymus than those born after harvest; they also have a 10-fold increased likelihood of death from infectious causes in early adult life, suggesting a permanent impairment of the immune system [3133]. In Ethiopia, many dietary constituents are involved in chronic undernutrition and it is likely that more than one could be involved in modulating the immune system. For example, almost half the stunted children had zinc deficiency [34]. In one study, more than 30% of the mothers were protein-calorie deficient, 20% were vitamin A deficient, and many had low levels of zinc in their breast milk [35]; zinc [36] and vitamin A [37] deficiencies are known to alter the immune response. In the Gambia, mothers who give birth in the ‘hungry’ season have less IL-7 in their breast milk than those who give birth when food is more plentiful [38]; IL-7 is essential for the proliferation and survival of precursor T cells [39]. Since the fetal thymus releases T cells as early as 14 weeks gestation, any nutritional insult acting before or at that time could have lasting effects on the immune responses. Clearly, the specifics of maternal and in utero malnutrition vary geographically in the developing world; however, in Ethiopia, there are nutritional deficiencies that, theoretically, could give rise to immune deficiencies and altered autoimmune responses in later life, and may contribute to the low incidence of childhood T1DM.

Conclusions

Recent epidemiological studies of T1DM in sub-Saharan Africa suggest that the common disease pattern differs from that in the West with a later age of onset, a male excess at presentation and a lower prevalence of indicators of islet-cell autoimmunity together with markers of undernutrition (Table 1). These features have a striking similarity to previous clinical descriptions of malnutrition-related diabetes [40, 41], which at one time was recognised as a separate entity by the World Health Organization. They suggest a need to clarify the role of nutrition or related aetiological factors affecting the presentation of T1DM in resource-poor settings. A key question is whether the disease seen in these communities is a direct result of malnutrition and the consequent reduction of pancreatic β-cell number and function, a result of malnutrition influencing the expression of islet-cell autoimmunity or, more likely, a combination of both processes. These studies are needed to help address the very great morbidity and mortality of patients with T1DM in poor communities and improve their diagnosis and treatment.

Table 1.

Features of T1DM in resource-poor compared with western settings

Resource poor Western
Uncommon in children, peak incidence 25–29 years Incidence rises to a peak at age 10–14 years
Male excess Genders equally affected in under 15 age group
Associations with markers of undernutrition Associated with increased childhood growth
Prevalence of islet-cell antibodies low High prevalence of islet-cell antibodies
Major urban-rural differences in incidence No consistent urban-rural pattern

Compliance with Ethical Standards

Conflict of Interest

Shitaye Alemu Balcha, David I.W. Phillips and Elisabeth R. Trimble declare that they have no conflict of interest.

Human and Animal Rights and Informed Consent

All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki Declaration and its later amendments or comparable ethical standard.

Footnotes

This article is part of the Topical Collection on Other Forms of Diabetes and Its Complications

References

Papers of particular interest, published recently, have been highlighted as:• Of importance •• Of major importance

  • 1.Bahendeka SK. Diabetes in sub-Saharan Africa: let us not forget type 1. Lancet Diabetes Endocrinol. 2017;5:575–577. doi: 10.1016/S2213-8587(17)30223-1. [DOI] [PubMed] [Google Scholar]
  • 2.Mbanya JC, Motala AA, Sobngwi E, Assah FK, Enoru ST. Diabetes in sub-Saharan Africa. Lancet. 2010;375(9733):2254–2266. doi: 10.1016/S0140-6736(10)60550-8. [DOI] [PubMed] [Google Scholar]
  • 3.Gill GV, Mbanya JC, Ramaiya KL, Tesfaye S. A sub-Saharan African perspective of diabetes. Diabetologia. 2009;52(1):8–16. doi: 10.1007/s00125-008-1167-9. [DOI] [PubMed] [Google Scholar]
  • 4.Dodge RE, Jr, Demeke T. The epidemiology of infant malnutrition in Dabat. Ethiop Med J. 1970;8(2):53–72. [PubMed] [Google Scholar]
  • 5.Alemu S, Dessie A, Seid E, Bard E, Lee PT, Trimble ER, et al. Insulin-requiring diabetes in rural Ethiopia: should we reopen the case for malnutrition-related diabetes? Diabetologia. 2009;52(9):1842–1845. doi: 10.1007/s00125-009-1433-5. [DOI] [PubMed] [Google Scholar]
  • 6.Habtu E, Gill G, Tesfaye S. Characteristics of insulin requiring diabetes in rural northern Ethiopia—a possible link with malnutrition? Ethiop Med J. 1999;37(4):263–267. [PubMed] [Google Scholar]
  • 7.Kalk WJ, Huddle KR, Raal FJ. The age of onset and sex distribution of insulin-dependent diabetes mellitus in Africans in South Africa. Postgrad Med J. 1993;69(813):552–556. doi: 10.1136/pgmj.69.813.552. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 8.Asanghanwa M, Gorus FK, Weets I, der Auwera BV, Aminkeng F, Mbunwe E, Goubert P, Verhaeghen K, Sobngwi E, Wenzlau JM, Hutton JC, Pipeleers DG, Keymeulen B, Mbanya JCN, van Schravendijk C. Clinical and biological characteristics of diabetic patients under age 40 in Cameroon: relation to autoantibody status and comparison with Belgian patients. Diabetes Res Clin Pract. 2014;103:97–105. doi: 10.1016/j.diabres.2013.11.013. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Pundziute-Lycka A, Dahlquist G, Nystrom L, Arnqvist H, Bjork E, Blohme G, et al. The incidence of type I diabetes has not increased but shifted to a younger age at diagnosis in the 0-34 years group in Sweden 1983-1998. Diabetologia. 2002;45(6):783–791. doi: 10.1007/s00125-002-0845-2. [DOI] [PubMed] [Google Scholar]
  • 10.Fekadu S, Yigzaw M, Alemu S, Dessie A, Fieldhouse H, Girma T, et al. Insulin-requiring diabetes in Ethiopia: associations with poverty, early undernutrition and anthropometric disproportion. Eur J Clin Nutr. 2010;64(10):1192–1198. doi: 10.1038/ejcn.2010.143. [DOI] [PubMed] [Google Scholar]
  • 11.Zung A, Elizur M, Weintrob N, Bistritzer T, Hanukoglu A, Zadik Z, Phillip M, Miller K, Koren I, Brautbar C, Israel S. Type 1 diabetes in Jewish Ethiopian immigrants in Israel: HLA class II immunogenetics and contribution of new environment. Hum Immunol. 2004;65(12):1463–1468. doi: 10.1016/j.humimm.2004.09.006. [DOI] [PubMed] [Google Scholar]
  • 12.Hussen HI, Persson M, Moradi T. The trends and risk of type 1 diabetes over the past 40 years: an analysis by birth cohorts and by parental background in Sweden. BMJ Open. 2013;3:e003418. doi: 10.1136/bmjopen-2013-003418. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 13.Dahri S, Snoeck A, Reusens-Billen B, Remacle C, Hoet JJ. Islet function in offspring of mothers on low-protein diet during gestation. Diabetes. 1991;40:115–120. doi: 10.2337/diab.40.2.S115. [DOI] [PubMed] [Google Scholar]
  • 14.Waterland RA, Lin JR, Smith CA, Jirtle RL. Post-weaning diet affects genomic imprinting at the insulin-like growth factor 2 (Igf2) locus. Hum Mol Genet. 2006;15(5):705–716. doi: 10.1093/hmg/ddi484. [DOI] [PubMed] [Google Scholar]
  • 15.Park JH, Stoffers DA, Nicholls RD, Simmons RA. Development of type 2 diabetes following intrauterine growth retardation in rats is associated with progressive epigenetic silencing of Pdx1. J Clin Invest. 2008;118(6):2316–2324. doi: 10.1172/JCI33655. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Sandovici I, Smith NH, Nitert MD, ckers-Johnson M, Uribe-Lewis S, Ito Y, et al. Maternal diet and aging alter the epigenetic control of a promoter-enhancer interaction at the Hnf4a gene in rat pancreatic islets. Proc Natl Acad Sci U S A. 2011;108(13):5449–5454. doi: 10.1073/pnas.1019007108. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Besser RE, Shepherd MH, McDonald TJ, Shields BM, Knight BA, Ellard S, et al. Urinary C-peptide creatinine ratio is a practical outpatient tool for identifying hepatocyte nuclear factor 1-{alpha}/hepatocyte nuclear factor 4-{alpha} maturity-onset diabetes of the young from long-duration type 1 diabetes. Diabetes Care. 2011;34(2):286–291. doi: 10.2337/dc10-1293. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Sinclair KD, Allegrucci C, Singh R, Gardner DS, Sebastian S, Bispham J, Thurston A, Huntley JF, Rees WD, Maloney CA, Lea RG, Craigon J, McEvoy TG, Young LE. DNA methylation, insulin resistance, and blood pressure in offspring determined by maternal periconceptional B vitamin and methionine status. Proc Natl Acad Sci U S A. 2007;104(49):19351–19356. doi: 10.1073/pnas.0707258104. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 19.de Rooij S, Painter RC, Roseboom TJ, Phillips DI, Osmond C, Barker DJ, et al. Glucose tolerance at age 58 and the decline of glucose tolerance in comparison with age 50 in people prenatally exposed to the Dutch famine. Diabetologia. 2006;49(4):637–643. doi: 10.1007/s00125-005-0136-9. [DOI] [PubMed] [Google Scholar]
  • 20.de Rooij S, Painter RC, Phillips DI, Osmond C, Michels RP, Godsland IF, et al. Impaired insulin secretion after prenatal exposure to the Dutch famine. Diabetes Care. 2006;29(8):1897–1901. doi: 10.2337/dc06-0460. [DOI] [PubMed] [Google Scholar]
  • 21.Muthayya S, Kurpad AV, Duggan CP, Bosch RJ, Dwarkanath P, Mhaskar A, Mhaskar R, Thomas A, Vaz M, Bhat S, Fawzi WW. Low maternal vitamin B12 status is associated with intrauterine growth retardation in urban South Indians. Eur J Clin Nutr. 2006;60:791–801. doi: 10.1038/sj.ejcn.1602383. [DOI] [PubMed] [Google Scholar]
  • 22.Yajnik CS. Transmission of obesity-adiposity and related disorders from the mother to the baby. Ann Nutr Metab. 2014;64(suppl 1):8–17. doi: 10.1159/000362608. [DOI] [PubMed] [Google Scholar]
  • 23.Lutale JJ, Thordarson H, Holm PI, Eide GE, Velvik K. Islet cell autoantibodies in African patients with type 1 and type 2 diabetes in Dar es Salaam Tanzania: a cross sectional study. J Autoimmune Dis 2007;4:4. [DOI] [PMC free article] [PubMed]
  • 24.Siraj ES, Gupta MK, Yifter H, Ahmed A, Kebede T, Reja A, Abdulkadir J. Islet-cell associated autoantibodies in Ethiopians with diabetes mellitus. J Diabetes Complications. 2016;30:1039–1042. doi: 10.1016/j.jdiacomp.2016.05.005. [DOI] [PubMed] [Google Scholar]
  • 25.Gill GV, Tekle A, Reja A, Wile D, English PJ, Diver M, Williams AJK, Tesfaye S. Immunological and C-peptide studies of patients with diabetes in northern Ethiopia: existence of an unusual subgroup possibly related to malnutrition. Diabetologia. 2011;54:51–57. doi: 10.1007/s00125-010-1921-7. [DOI] [PubMed] [Google Scholar]
  • 26.Botero D, Wolfsdorf JI. Diabetes mellitus in children and adolescents. Arch Med Res. 2005;36(3):281–290. doi: 10.1016/j.arcmed.2004.12.002. [DOI] [PubMed] [Google Scholar]
  • 27.Jensen R, Gilliam L, Torn C, Landin-Olsson M, Palmer J, Akesson K, et al. Islet cell autoantibody levels after the diagnosis of young adult diabetic patients. Diabet Med. 2007;24(11):1221–1228. doi: 10.1111/j.1464-5491.2007.02235.x. [DOI] [PubMed] [Google Scholar]
  • 28.Graham J, Hagopian WA, Kockum I, Li LS, Sanjeevi CB, Lowe RM, Schaefer JB, Zarghami M, Day HL, Landin-Olsson M, Palmer JP, Janer-Villanueva M, Hood L, Sundkvist G, Lernmark A, Breslow N, Dahlquist G, Blohmé G, Diabetes Incidence in Sweden Study Group. Swedish Childhood Diabetes Study Group Genetic effects on age-dependent onset and islet cell autoantibody markers in type 1 diabetes. Diabetes. 2002;51(5):1346–1355. doi: 10.2337/diabetes.51.5.1346. [DOI] [PubMed] [Google Scholar]
  • 29.Stayoussef M, Benmansour J, Al-Jenaidi FA, Said HB, Rayana CB, et al. Glutamic acid decarboxylase 65 and islet cell antigen 512/IA-2 autoantibodies in relation to human leukocyte antigen class II DR and DQ alleles and haplotypes in type 1 diabetes mellitus. Clin Vaccine Immunol. 2011;18:990–993. doi: 10.1128/CVI.00073-11. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 30.El-Amir MI, El-Feky MA, Laine A-P, Harkonen T, El Badawy O, et al. Risk genes and autoantibodies in Egyptian children with type 1 diabetes—low frequency of autoantibodies in carriers of the HLA-DRB1*04:05–DQA1*03–DQB1*02 risk haplotype. Diabetes Metab Res Rev. 2015;31:287–294. doi: 10.1002/dmrr.2609. [DOI] [PubMed] [Google Scholar]
  • 31.Moore SE, Collinson AC, Ngom PT, Aspinall R, Prentice AM. Early immunological development and mortality from infectious disease in later life. Proc Nutr Soc. 2006;65:311–318. doi: 10.1079/PNS2006503. [DOI] [PubMed] [Google Scholar]
  • 32.Ngom PT, Solon J, Moore SE, Morgan G, Prentice AM, Aspinall R. Thymic function and T cell parameters in a natural human experimental model of seasonal infectious diseases and nutritional burden. J Biomed Sci. 2011;18:41. doi: 10.1186/1423-0127-18-41. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.• Prentice S. They are what you eat: can nutritional factors during gestation and early infancy modulate the neonatal immune response? Review. Front Immunol. 2017;8 10.3389/fimmu.2017.01641. A review of the increasing evidence that nutritional factors in early life can influence the immune response. [DOI] [PMC free article] [PubMed]
  • 34.Umeta M, West CE, Haidar J, Deurenberg P, Hautvast JGAJ. Zinc supplementation and stunted infants in Ethiopia: a randomised controlled trial. Lancet. 2000;355:2021–2026. doi: 10.1016/S0140-6736(00)02348-5. [DOI] [PubMed] [Google Scholar]
  • 35.Umeta M, West CE, Verhoef H, Haidar J, Hautvast JGAJ. Factors associated with stunting in infants aged 5-11 months in the Dodota-Sire district, rural Ethiopia. J Nutr. 2003;133:1064–1069. doi: 10.1093/jn/133.4.1064. [DOI] [PubMed] [Google Scholar]
  • 36.Fraker PJ, King LE. Reprogramming of the immune system during zinc deficiency. Annu Rev Nutr. 2004;24:277–298. doi: 10.1146/annurev.nutr.24.012003.132454. [DOI] [PubMed] [Google Scholar]
  • 37.Bono MR, Tejon G, Flores-Santibanez F, Fernandez D, Rosemblatt M, Sauma D. Retinoic acid as a modulator of T cell immunity. Nutrients. 2016;8:349. doi: 10.3390/nu8060349. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 38.Ngom PT, Collinson AC, Pido-Lopez J, Henson SM, Prentice AM, Aspinall R. Improved thymic function in exclusively breastfed infants is associated with higher interleukin 7 concentrations in their mothers’ breast milk. Am J Clin Nutr. 2004;80:722–728. doi: 10.1093/ajcn/80.3.722. [DOI] [PubMed] [Google Scholar]
  • 39.Suda T, Zlotnik A. IL-7 maintains the T cell precursor potential of CD3-CD4-CD8-thymocytes. J Immunol. 1991;146:3068–3073. [PubMed] [Google Scholar]
  • 40.Abdulkadir J, Mengesha B, Welde GZ, Keen H, Worku Y, Gebre P, et al. The clinical and hormonal (C-peptide and glucagon) profile and liability to ketoacidosis during nutritional rehabilitation in Ethiopian patients with malnutrition-related diabetes mellitus. Diabetologia. 1990;33(4):222–227. doi: 10.1007/BF00404800. [DOI] [PubMed] [Google Scholar]
  • 41.Samal KC, Kanungo A, Sanjeevi CB. Clinicoepidemiological and biochemical profile of malnutrition-modulated diabetes mellitus. Ann N Y Acad Sci. 2002;958:131–137. doi: 10.1111/j.1749-6632.2002.tb02955.x. [DOI] [PubMed] [Google Scholar]

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