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Nijland, M. J.

Publications and source records attributed to Nijland, M. J..

2 recordsLinked to original sources

Maternal Under-Nutrition During Pregnancy Alters the Molecular Response to Over-Nutrition in Multiple Organs and Tissues in Juvenile Offspring

Previous studies suggest that mismatch between fetal and postnatal nutrition predisposes individuals to metabolic diseases. We examined whether NHP juvenile offspring of pregnancies with maternal undernutrition (MUN) had altered response to a high-fat, high-carbohydrate diet plus sugar drink challenge (HFCS) compared with controls (CON). Pregnant baboons were fed ad libitum (CON) or 30% calorie reduction from 0.16 gestation through lactation, and weaned offspring fed chow diet ad libitum. Offspring of MUN were growth restricted at birth. At [~]4.5y offspring received a 7-week HFCS challenge. Baseline and HFCS gene expression in liver, omental fat, and skeletal muscle, liver glycogen content, and fat cell size were quantified. MUN offspring had lower BMI and liver glycogen compared with CON. Pathway analysis showed differences for skeletal muscle and liver, including hepatic splicing and unfolded protein response. MUN offspring consumed more sugar drink than CON. After HFCS, MUN BMIs were similar to CON. Liver showed coordinated response to HFCS in CON but not MUN. Pathway and liver glycogen differences between MUN and CON at baseline indicate in utero programming persists in MUN juveniles. MUN catchup growth during HFCS suggests increased risk of obesity, diabetes, and cardiovascular disease. Greater sugar drink consumption in MUN demonstrates altered appetitive drive due to programming. Differences in blood leptin concentrations, omental adipocyte cell size, liver glycogen content, and tissue-specific molecular response to HFCS challenge suggest MUN significantly impacts juvenile offspring ability to manage an energy rich diet. O_FIG O_LINKSMALLFIG WIDTH=172 HEIGHT=200 SRC="FIGDIR/small/548121v1_ufig1.gif" ALT="Figure 1"> View larger version (45K): org.highwire.dtl.DTLVardef@b15085org.highwire.dtl.DTLVardef@11d4c1dorg.highwire.dtl.DTLVardef@704209org.highwire.dtl.DTLVardef@1ff9791_HPS_FORMAT_FIGEXP M_FIG C_FIG

systems biology↗

Postnatal persistence of sex-dependent renal developmentally programmed structural and molecular changes in nonhuman primates

BackgroundPoor nutrition during development programs kidney function. No studies on postnatal consequences of decreased perinatal nutrition exist in nonhuman primates (NHP) for translation to human renal disease. Our baboon model of moderate maternal nutrient restriction (MNR) produces intrauterine growth restricted (IUGR) and programs renal fetal phenotype. We hypothesized that the IUGR phenotype persists postnatally, influencing responses to a high-fat, high-carbohydrate, high-salt (HFCS) diet. MethodsPregnant baboons ate chow (Control; CON) or 70% of control intake (MNR) from 0.16 gestation through lactation. MNR offspring were IUGR at birth. At weaning, all offspring (CON and IUGR females and males, n=3/group) ate chow. At ~4.5 years of age, blood, urine, and kidney biopsies were collected before and after a 7-week HFCS diet challenge. Kidney function, unbiased kidney gene expression, and untargeted urine metabolomics were evaluated. ResultsIUGR female and male kidney transcriptome and urine metabolome differed from CON at 3.5 years, prior to HFCS. After the challenge, we observed sex-specific and fetal exposure-specific responses in urine creatinine, urine metabolites, and renal signaling pathways. ConclusionsWe previously showed mTOR signaling dysregulation in IUGR fetal kidneys. Before HFCS, gene expression analysis indicated that dysregulation persists postnatally in IUGR females. IUGR male offspring response to HFCS showed uncoordinated signaling pathway responses suggestive of proximal tubule injury. To our knowledge, this is the first study comparing CON and IUGR postnatal juvenile NHP and the impact of fetal and postnatal life caloric mismatch. Perinatal history needs to be taken into account when assessing renal disease risk.

genomics↗