Neonatal iron distribution and infection susceptibility in full term, preterm and low birthweight babies in urban Gambia: study protocol for an observational study

James H Cross, Ousman Jarjou, Nuredin Ibrahim Mohammed, Andrew M Prentice, Carla Cerami, James H Cross, Ousman Jarjou, Nuredin Ibrahim Mohammed, Andrew M Prentice, Carla Cerami

Abstract

Background: Neonatal infection is the third largest cause of death in children under five worldwide. Nutritional immunity is the process by which the host innate immune system limits nutrient availability to invading organisms. Iron is an essential micronutrient for both microbial pathogens and their mammalian hosts. Changes in iron availability and distribution have significant effects on pathogen virulence and on the immune response to infection. Our previously published data shows that, during the first 24 hours of life, full-term neonates have reduced overall serum iron. Transferrin saturation decreases rapidly from 45% in cord blood to ~20% by six hours post-delivery. Methods: To study neonatal nutritional immunity and its role in neonatal susceptibility to infection, we will conduct an observational study on 300 full-term normal birth weight (FTB+NBW), 50 preterm normal birth weight (PTB+NBW), 50 preterm low birth weight (PTB+LBW) and 50 full-term low birth weight (FTB+LBW), vaginally-delivered neonates born at Kanifing General Hospital, The Gambia. We will characterize and quantify iron-related nutritional immunity during the early neonatal period and use ex vivo sentinel bacterial growth assays to assess how differences in serum iron affect bacterial growth. Blood samples will be collected from the umbilical cord (arterial and venous) and at serial time points from the neonates over the first week of life. Discussion: Currently, little is known about nutritional immunity in neonates. In this study, we will increase understanding of how nutritional immunity may protect neonates from infection during the first critical days of life by limiting the pathogenicity and virulence of neonatal sepsis causing organisms by reducing the availability of iron. Additionally, we will investigate the hypothesis that this protective mechanism may not be activated in preterm and low birth weight neonates, potentially putting these babies at an enhanced risk of neonatal infection. Trial registration: clinicaltrials.gov ( NCT03353051) 27/11/2017.

Keywords: Hepcidin; Host-Pathogen Interaction; Hypoferremia; Neonates; Nutritional Immunity; Sub-Saharan Africa; The Gambia; Transferrin.

Conflict of interest statement

No competing interests were disclosed.

Copyright: © 2019 Cross JH et al.

Figures

Figure 1.. Main study flow chart of…
Figure 1.. Main study flow chart of all study procedures and exclusion criteria.
Group A will contain neonates characterised by preterm birth and low birthweight (PTB+LBW); Group B will contain neonates characterised by preterm birth and normal birthweight (PTB+NBW); Group C will contain neonates characterised by full term birth and low birthweight (FTB+LBW); Groups D1, D2 and D3 will all contain babies characterised by full term birth and normal birthweight (FTB+NBW). In this study, preterm is defined α): Father refused, mother refused, family/escort refused, communication not possible or mother with severe disabilities. Exclusion criteria (β): Antibiotics or antimalarials given before delivery (<24 hours), referred to tertiary level health facility, absconded, known HIV-positive, severe pre-eclampsia, receiving TB treatment, antepartum haemorrhage, recent blood transfusion (within the last month), no foetal heartbeat, mother <18 years, refusal, recruited to another study and emergency caesarean section. Exclusion criteria (γ): Recruited to another study on-site, refusal, blood transfusion given in labour, antibiotics or antimalarials given during labour, neonate requires resuscitation (1 min APGAR), neonatal weight <2000g, neonate born breech, neonate born via vacuum delivery, neonate born caesarean section, foetal stillbirth, macerated stillbirth and major congenital malformations. Exclusion criteria (δ): Failed cord blood collection (serum tubes), failed cord blood collection (EDTA), cord blood processed >6 hours, neonate requires resuscitation (10 min APGAR), absconded and route 2B refusal. Exclusion criteria (ε): Mother birth check refusal, father birth check refusal, family escort birth check refusal, mother <18 years, recruited to another study on-site, antibiotics or antimalarials given to mother before delivery (<24 hours), neonate has had surgery, neonates sibling twin was recruited, neonate given antibiotics (other than tetracycline eye ointment), neonate given iron supplementation, neonatal sickness (tone, activity, feeding, heart rate, respiratory rate, abnormal anterior fontanelle), neonatal temperature (<36.5°C or >37.5°C), major congenital malformations (neonate), New Ballard Score (<32 weeks), failed V1 (serum), failed V1 (EDTA), failed V1 (both EDTA and serum), mother V1 bleed refusal, father V1 bleed refusal, and family/escort V1 bleed refusal. Exclusion criteria (ζ): neonatal sickness (tone, activity, feeding, heart rate, respiratory rate, abnormal anterior fontanelle), neonatal temperature (<36.5°C or >37.5°C), neonate has had surgery, neonate given antibiotics (other than tetracycline eye ointment), neonate given iron supplementation, failed V2 bleed, Mother community/V2 bleed refusal, father community/V2 bleed refusal, and family community/V2 bleed refusal.
Figure 2.. NeoInnate Study enrolment route and…
Figure 2.. NeoInnate Study enrolment route and blood draw design.
Group A contains neonates characterised by preterm birth and low birthweight (PTB+LBW); Group B contains neonates characterised by preterm birth and normal birthweight (PTB+NBW); Group C contains neonates characterised by full term birth and low birthweight (FTB+LBW); Groups D1, D2 and D3 all contain babies characterised by full term birth and normal birthweight (FTB+NBW).
Figure 3.. Estimated power to detect a…
Figure 3.. Estimated power to detect a given difference between Groups A vs D based on simulation using a linear regression model adjusted for baseline for three sample size scenarios.
N1 (Group A=Group B=Group C=50 neonates);N2 (GroupA=GroupB =25 neonates and Group C=50 neonates);N3 (GroupA=GroupB =10 neonates and Group C=50 neonates);N4 (GroupA=Group B=50 neonates and Group C =10 neonates).
Figure 4.. An example of hypothetical scenario…
Figure 4.. An example of hypothetical scenario for TSAT values between the groups to be compared.
In this example: (i) Time 0 refers to average cord blood levels (ii) Time 6–24 refers to the mean level in the 6–24 hour period after birth. (iii) T1, T2, represent TSAT in 1 and 2 above and ΔT=T2-T1 for full term, normal birthweight (Group D) (iv.) T1’, T2’and ΔT’=T2’-T1’ same as above but for the premature, low birthweight (Group A). Hypothesis: H 0: T2=T2’ vs. H A: T2≠T2’.

References

    1. WHO: WHO | Every Newborn: an action plan to end preventable deaths.WHO (World Health Organization),2014.
    1. United Nations Children’s Fund, World Health Organization, W. B. and U. N: Levels & Trends in Child Mortality. Report 2017. Estimates developed by the UN Inter-agency Group for Child Mortality Estimation.New York (NY): United Nations Children’s Fund. Levels & Trends in Child Mortality. Report 2017.2017.
    1. WHO, UNICEF: UNICEF - Levels & Trends in Child Mortality. Rep.2014, 2014.
    1. Lawn JE, Kinney MV, Black RE, et al. : Newborn survival: a multi-country analysis of a decade of change. Health Policy Plan. 2012;27 Suppl 3:iii6–iii28. 10.1093/heapol/czs053
    1. United Nations Inter-agency Group for Child Mortality Estimation (UN IGME): United Nations Inter-agency Group for Child Mortality Estimation (UN IGME), ‘Levels & Trends in Child Mortality: Report 2018, Estimates developed by the United Nations Inter-agency Group for Child Mortality Estimation’.United Nations Children’s Fund, New.
    1. World Health Organization: Care of the preterm and/or low-birth-weight newborn.[Updated 2017]. Accessed Dec 2018.
    1. UNICEF & WHO: United Nations Children’s Fund and World Health Organization, Low Birthweight: Country, regional and global estimates.UNICEF, New York.2004;27
    1. Oza S, Cousens SN, Lawn JE: Estimation of daily risk of neonatal death, including the day of birth, in 186 countries in 2013: a vital-registration and modelling-based study. Lancet Glob Health. 2014;2(11):e635–e644. 10.1016/S2214-109X(14)70309-2
    1. Hill K, Choi Y: Neonatal mortality in the developing world. Demogr Res. 2006;14:429–452. 10.4054/DemRes.2006.14.18
    1. Lawn JE, Cousens S, Zupan J, et al. : 4 million neonatal deaths: when? Where? Why? Lancet. 2005;365(9462):891–900. 10.1016/S0140-6736(05)71048-5
    1. Huynh BT, Padget M, Garin B, et al. : Burden of bacterial resistance among neonatal infections in low income countries: how convincing is the epidemiological evidence? BMC Infect Dis. 2015;15:127. 10.1186/s12879-015-0843-x
    1. Saha SK, Schrag SJ, El Arifeen S, et al. : Causes and incidence of community-acquired serious infections among young children in south Asia (ANISA): an observational cohort study. Lancet. 2018;392(10142):145–159. 10.1016/S0140-6736(18)31127-9
    1. Waters D, Jawad I, Ahmad A, et al. : Aetiology of community-acquired neonatal sepsis in low and middle income countries. J Glob Health. 2011;1(2):154–70.
    1. Simonsen KA, Anderson-Berry AL, Delair SF, et al. : Early-onset neonatal sepsis. Clin Microbiol Rev. 2014;27(1):21–47. 10.1128/CMR.00031-13
    1. Okomo U: Neonatal Infections; a hospital-based study in The Gambia examining aetiology and associated maternal Colonisation.London School of Hygiene & Tropical Medicine.2018. 10.17037/PUBS.04646824
    1. Lubell Y, Ashley EA, Turner C, et al. : Susceptibility of community-acquired pathogens to antibiotics in Africa and Asia in neonates--an alarmingly short review. Trop Med Int Health. 2011;16(2):145–151. 10.1111/j.1365-3156.2010.02686.x
    1. Laxminarayan R, Duse A, Wattal C, et al. : Antibiotic resistance-the need for global solutions. Lancet Infect Dis. 2013;13(12):1057–1098. 10.1016/S1473-3099(13)70318-9
    1. Davies J, Davies D: Origins and evolution of antibiotic resistance. Microbiol Mol Biol Rev. 2010;74(3):417–33. 10.1128/MMBR.00016-10
    1. Young Infants Clinical Signs Study Group: Clinical signs that predict severe illness in children under age 2 months: a multicentre study. Lancet. 2008;371(9607):135–142. 10.1016/S0140-6736(08)60106-3
    1. Caza M, Kronstad JW: Shared and distinct mechanisms of iron acquisition by bacterial and fungal pathogens of humans. Front Cell Infect Microbiol. 2013;3:80. 10.3389/fcimb.2013.00080
    1. Koczura R, Kaznowski A: Occurrence of the Yersinia high-pathogenicity island and iron uptake systems in clinical isolates of Klebsiella pneumoniae. Microb Pathog. 2003;35(5):197–202. 10.1016/S0882-4010(03)00125-6
    1. Drakesmith H, Prentice AM: Hepcidin and the iron-infection axis. Science. 2012;338(6108):768–772. 10.1126/science.1224577
    1. Krause A, Neitz S, Mägert HJ, et al. : LEAP-1, a novel highly disulfide-bonded human peptide, exhibits antimicrobial activity. FEBS Lett. 2000;480(2–3):147–50. 10.1016/S0014-5793(00)01920-7
    1. Pigeon C, Ilyin G, Courselaud B, et al. : A new mouse liver-specific gene, encoding a protein homologous to human antimicrobial peptide hepcidin, is overexpressed during iron overload. J Biol Chem. 2001;276(11):7811–7819. 10.1074/jbc.M008923200
    1. Park CH, Valore EV, Waring AJ, et al. : Hepcidin, a urinary antimicrobial peptide synthesized in the liver. J Biol Chem. 2001;276(11):7806–7810. 10.1074/jbc.M008922200
    1. Nemeth E, Rivera S, Gabayan V, et al. : IL-6 mediates hypoferremia of inflammation by inducing the synthesis of the iron regulatory hormone hepcidin. J Clin Invest. 2004;113(9):1271–1276. 10.1172/JCI20945
    1. Armitage AE, Eddowes LA, Gileadi U, et al. : Hepcidin regulation by innate immune and infectious stimuli. Blood. 2011;118(15):4129–39. 10.1182/blood-2011-04-351957
    1. Ryan JD, Altamura S, Devitt E, et al. : Pegylated interferon-α induced hypoferremia is associated with the immediate response to treatment in hepatitis C. Hepatology. 2012;56(2):492–500. 10.1002/hep.25666
    1. Peyssonnaux C, Zinkernagel AS, Datta V, et al. : TLR4-dependent hepcidin expression by myeloid cells in response to bacterial pathogens. Blood. 2006;107(9):3727–32. 10.1182/blood-2005-06-2259
    1. Wrighting DM, Andrews NC: Interleukin-6 induces hepcidin expression through STAT3. Blood. 2006;108(9):3204–3209. 10.1182/blood-2006-06-027631
    1. Verga Falzacappa MV, Vujic Spasic M, Kessler R, et al. : STAT3 mediates hepatic hepcidin expression and its inflammatory stimulation. Blood. 2007;109(1):353–358. 10.1182/blood-2006-07-033969
    1. Rodriguez R, Jung CL, Gabayan V, et al. : Hepcidin induction by pathogens and pathogen-derived molecules is strongly dependent on interleukin-6. Infect Immun. 2014;82(2):745–52. 10.1128/IAI.00983-13
    1. Arezes J, Jung G, Gabayan V, et al. : Hepcidin-induced hypoferremia is a critical host defense mechanism against the siderophilic bacterium Vibrio vulnificus. Cell Host Microbe. 2015;17(1):47–57. 10.1016/j.chom.2014.12.001
    1. Michels KR, Zhang Z, Bettina AM, et al. : Hepcidin-mediated iron sequestration protects against bacterial dissemination during pneumonia. JCI Insight. 2017;2(6):e92002. 10.1172/jci.insight.92002
    1. Stefanova D, Raychev A, Arezes J, et al. : Endogenous hepcidin and its agonist mediate resistance to selected infections by clearing non-transferrin-bound iron. Blood. 2017;130(3):245–257. 10.1182/blood-2017-03-772715
    1. Frank KM, Schneewind O, Shieh WJ: Investigation of a researcher's death due to septicemic plague. N Engl J Med. 2011;364(26):2563–2564. 10.1056/NEJMc1010939
    1. Khan FA, Fisher MA, Khakoo RA: Association of hemochromatosis with infectious diseases: expanding spectrum. Int J Infect Dis. 2007;11(6):482–487. 10.1016/j.ijid.2007.04.007
    1. Collard KJ: Iron homeostasis in the neonate. Pediatrics. 2009;123(4):1208–16. 10.1542/peds.2008-1047
    1. Dominguez-Bello MG, Costello EK, Contreras M, et al. : Delivery mode shapes the acquisition and structure of the initial microbiota across multiple body habitats in newborns. Proc Natl Acad Sci U S A. 2010;107(26):11971–11975. 10.1073/pnas.1002601107
    1. Houghteling PD, Walker WA: Why is initial bacterial colonization of the intestine important to infants' and children's health? J Pediatr Gastroenterol Nutr. 2015;60(3):294–307. 10.1097/MPG.0000000000000597
    1. Basha S, Surendran N, Pichichero M: Immune responses in neonates. Expert Rev Clin Immunol. 2014;10(9):1171–84. 10.1586/1744666X.2014.942288
    1. Lipiński P, Styś A, Starzyński RR: Molecular insights into the regulation of iron metabolism during the prenatal and early postnatal periods. Cell Mol Life Sci. 2013;70(1):23–38. 10.1007/s00018-012-1018-1
    1. Lorenz L, Peter A, Poets CF, et al. : A review of cord blood concentrations of iron status parameters to define reference ranges for preterm infants. Neonatology. 2013;104(3):194–202. 10.1159/000353161
    1. Lorenz L, Herbst J, Engel C, et al. : Gestational age-specific reference ranges of hepcidin in cord blood. Neonatology. 2014;106(2):133–139. 10.1159/000360072
    1. Ru Y, Pressman EK, Guillet R, et al. : Umbilical Cord Hepcidin Concentrations Are Positively Associated with the Variance in Iron Status among Multiple Birth Neonates. J Nutr. 2018;148(11):1716–1722. 10.1093/jn/nxy151
    1. Szabó M, Vásárhelyi B, Balla G, et al. : Acute postnatal increase of extracellular antioxidant defence of neonates: the role of iron metabolism. Acta Paediatr. 2001;90(10):1167–1170. 10.1111/j.1651-2227.2001.tb03248.x
    1. Sturgeon P: Studies of iron requirements in infante and children. I. Normal values for serum iron, copper and free erythrocyte protoporphyrin. Pediatrics. 1954;13(2):107–25.
    1. Ballard JL, Khoury JC, Wedig K, et al. : New Ballard Score, expanded to include extremely premature infants. J Pediatr. 1991;119(3):417–23. 10.1016/S0022-3476(05)82056-6
    1. Cross J, Jarjou O, Mohammed NI: Cross et al. GatesOpen Research SCC1525v2__NeoInnate_Participant Info&Consent form Route 1. figshare.Figure.2019. 10.6084/m9.figshare.8069195.v4
    1. Cross J, Jarjou O, Mohammed NI, et al. : Cross et al. GatesOpenResearch SCC1525v2_NeoInnate_Consent form Route 2_Part 1_ (Umbilical Cord Blood Collection) - Labour Ward_v1.1-Approved 8Nov17. figshare.Figure.2019. 10.6084/m9.figshare.8069246.v1
    1. Cerami C, Cross J, Jarjou O, et al. : Cross et al. Gates Open Research SCC1525v2__NeoInnate_Consent form Route 2_Part 2_(Post-Delivery) - ANC Outside SGH v1-Approved 8Nov17. figshare.Figure.2019. 10.6084/m9.figshare.8069243.v1
    1. WHO | Delayed umbilical cord clamping for improved maternal and infant health and nutrition outcomes. WHO,2018.
    1. Cross JH, Bradbury RS, Fulford AJ, et al. : Oral iron acutely elevates bacterial growth in human serum. Sci Rep. 2015;5:16670. 10.1038/srep16670
    1. Moore SE, Fulford AJ, Streatfield PK, et al. : Comparative analysis of patterns of survival by season of birth in rural Bangladeshi and Gambian populations. Int J Epidemiol. 2004;33(1):137–143. 10.1093/ije/dyh007
    1. Skaar EP: The battle for iron between bacterial pathogens and their vertebrate hosts. PLoS Pathog. 2010;6(8):e1000949. 10.1371/journal.ppat.1000949
    1. Lee AC, Panchal P, Folger L, et al. : Diagnostic Accuracy of Neonatal Assessment for Gestational Age Determination: A Systematic Review. Pediatrics. 2017;140(6): pii: e20171423. 10.1542/peds.2017-1423
    1. Benson CB, Doubilet PM: Sonographic prediction of gestational age: accuracy of second- and third-trimester fetal measurements. AJR Am J Roentgenol. 1991;157(6):1275–1277. 10.2214/ajr.157.6.1950881
    1. Sebastiani G, Wilkinson N, Pantopoulos K: Pharmacological Targeting of the Hepcidin/Ferroportin Axis. Front Pharmacol. 2016;7:160. 10.3389/fphar.2016.00160
    1. : The opposing effects of acute inflammation and iron deficiency anemia on serum hepcidin and iron absorption in young women. Haematologica.2019;104(6) : 10.3324/haematol.2018.208645 1143-1149 10.3324/haematol.2018.208645

Source: PubMed

3
Subscribe