2022
DOI: 10.1152/ajpregu.00235.2021
|View full text |Cite
|
Sign up to set email alerts
|

Multiomic profiling of iron-deficient infant monkeys reveals alterations in neurologically important biochemicals in serum and cerebrospinal fluid before the onset of anemia

Abstract: Background: The effects of iron deficiency (ID) during infancy extend beyond the hematologic compartment and include short- and long-term adverse effects on many tissues including the brain. However, sensitive biomarkers of iron-dependent brain health are lacking in humans. Objective: To determine whether serum and CSF biomarkers of ID-induced metabolic dysfunction are concordant in the pre/early anemic stage of ID prior to anemia in a nonhuman primate model of infantile IDA. Methods: Paired serum and CSF spec… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
2
1

Citation Types

0
12
0

Year Published

2022
2022
2023
2023

Publication Types

Select...
5
1

Relationship

2
4

Authors

Journals

citations
Cited by 13 publications
(12 citation statements)
references
References 68 publications
0
12
0
Order By: Relevance
“…We applied our method of multi-source, multi-way Bayesian probit regression to our motivating data on iron deficiency in an infant rhesus monkey model and assessed our ability to discriminate between ID and iron sufficient (IS) infants based on the serum proteomic and metabolomic profiles measured at two time points (4 and 6 months after birth). In this model, infants destined to develop ID show evidence of ID (changes in serum iron indices and lower reticulocyte hemoglobin content) at 4 months, with iron deficiency anemia (lower hemoglobin and mean corpuscular volume) seen at 6 months (Lubach and Coe, 2006;Coe and others, 2013;Rao and others, 2018;Sandri and others, 2020Sandri and others, , 2021Sandri and others, , 2022. Proteomic and metabolomic changes in serum are seen in the preanemic and anemic periods (Sandri and others, 2022).…”
Section: Application To Multi-omic Iron Deficiencymentioning
confidence: 90%
See 3 more Smart Citations
“…We applied our method of multi-source, multi-way Bayesian probit regression to our motivating data on iron deficiency in an infant rhesus monkey model and assessed our ability to discriminate between ID and iron sufficient (IS) infants based on the serum proteomic and metabolomic profiles measured at two time points (4 and 6 months after birth). In this model, infants destined to develop ID show evidence of ID (changes in serum iron indices and lower reticulocyte hemoglobin content) at 4 months, with iron deficiency anemia (lower hemoglobin and mean corpuscular volume) seen at 6 months (Lubach and Coe, 2006;Coe and others, 2013;Rao and others, 2018;Sandri and others, 2020Sandri and others, , 2021Sandri and others, , 2022. Proteomic and metabolomic changes in serum are seen in the preanemic and anemic periods (Sandri and others, 2022).…”
Section: Application To Multi-omic Iron Deficiencymentioning
confidence: 90%
“…In this model, infants destined to develop ID show evidence of ID (changes in serum iron indices and lower reticulocyte hemoglobin content) at 4 months, with iron deficiency anemia (lower hemoglobin and mean corpuscular volume) seen at 6 months (Lubach and Coe, 2006;Coe and others, 2013;Rao and others, 2018;Sandri and others, 2020Sandri and others, , 2021Sandri and others, , 2022. Proteomic and metabolomic changes in serum are seen in the preanemic and anemic periods (Sandri and others, 2022). After routine pre-processing data were available for 227 metabolites and 205 proteins for 6 ID and 6 IS monkeys.…”
Section: Application To Multi-omic Iron Deficiencymentioning
confidence: 96%
See 2 more Smart Citations
“…We generated quantitative proteomic, metabolomic, and hematological profiles of serum and CSF from rhesus macaques at 4- and 6- months of age. The data were processed as previously described [1] , [2] , [3] , [4] , [5] and canonical correlation analysis (CCA) was performed to examine significant trends ( Fig. 1 ).…”
Section: Data Descriptionmentioning
confidence: 99%