Investigation Of Blood Lactate As A Marker Of Metabolic Dysfunction During Pregnancy

Previous work suggests blood lactate can be used as an indicator of metabolic disease, however, the utility of lactate as an indicator of metabolic dysfunction during pregnancy is unknown. PURPOSE: To determine if fasting or postprandial lactate is related to established markers of metabolic dysfunction (weight status, insulin resistance, substrate oxidation) during pregnancy. The ability to detect metabolic dysfunction during pregnancy has the potential to impact the immediate and future health of both mother and infant. METHODS: Lactate, glucose, and insulin values were assessed in 64 participants during late pregnancy (34.5 ± 1.7 weeks gestation) before (fasting) and after a high-fat meal (1 hr). Insulin and glucose levels were used to calculate HOMA-IR, which is an index of insulin resistance. Respiratory quotient (RQ), which reflects the relative contribution of fat and carbohydrate oxidation, was estimated using indirect calorimetry. Height (objectively assessed) and pre-pregnancy weight (self-reported) were used to estimate pre-pregnancy Body Mass Index (BMI). Means were compared and potential correlations were assessed using nonparametric tests. Partial correlations were used to adjust for potential confounders. RESULTS: Lactate was higher among those with pre-pregnancy overweight/obese (OWOB, n = 29) compared to lean (n = 35) (fasting: OWOB 0.90 ± 0.26 v lean 0.72 ± 0.26, p = 0.007; 1 hr: OWOB 1.01 ± 0.37 v lean 0.76 ± 0.28, p = 0.005). Fasting and 1 hr lactate values were positively correlated to fasting and 1 hr insulin and HOMA-IR (p < 0.05). When adjusting for pre-pregnancy BMI, only 1 hr lactate (not fasting) was correlated to insulin (1 hr) and HOMA-IR (fasting and 1 hr)(p < 0.05). Fasting and 1 hr lactate was positively correlated to 1 hr RQ and this remained when adjusting for pre-pregnancy BMI and HOMA-IR(p < 0.05). CONCLUSIONS: These data indicate lactate is associated with other markers of metabolic dysfunction during pregnancy. Future work should assess the clinical utility of lactate (fasting or postprandial), assessed at time points throughout pregnancy, as a potential biomarker for metabolic dysfunction or adverse obstetric outcomes, as in gestational or pre-pregnancy diabetes or fetal growth restriction. Funding was provided by NIH NIGMS Grant 5P20GM103436, WKU RCAP Grant 17-8011, and UTGSM Coffman Pediatric Research Endowment.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2024-09-16
DOI
https://doi.org/10.1249/01.mss.0001058796.27414.32
Primary Topic
Birth, Development, and Health
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Investigation Of Blood Lactate As A Marker Of Metabolic Dysfunction During Pregnancy

Kimberly B. Fortner, Nicholas T. Broskey, Jill M. Maples, Nikki B. Zite et al.
Medicine & Science in Sports & Exercise
Birth, Development, and Health
article

Investigation Of Blood Lactate As A Marker Of Metabolic Dysfunction During Pregnancy

Kimberly B. Fortner, Nicholas T. Broskey, Jill M. Maples, Nikki B. Zite, Rachel A. Tinius, Jaclyn B. van Nes, Alicia M. Mastronardi, Marie Blankenship
article en

Abstract

Previous work suggests blood lactate can be used as an indicator of metabolic disease, however, the utility of lactate as an indicator of metabolic dysfunction during pregnancy is unknown. PURPOSE: To determine if fasting or postprandial lactate is related to established markers of metabolic dysfunction (weight status, insulin resistance, substrate oxidation) during pregnancy. The ability to detect metabolic dysfunction during pregnancy has the potential to impact the immediate and future health of both mother and infant. METHODS: Lactate, glucose, and insulin values were assessed in 64 participants during late pregnancy (34.5 ± 1.7 weeks gestation) before (fasting) and after a high-fat meal (1 hr). Insulin and glucose levels were used to calculate HOMA-IR, which is an index of insulin resistance. Respiratory quotient (RQ), which reflects the relative contribution of fat and carbohydrate oxidation, was estimated using indirect calorimetry. Height (objectively assessed) and pre-pregnancy weight (self-reported) were used to estimate pre-pregnancy Body Mass Index (BMI). Means were compared and potential correlations were assessed using nonparametric tests. Partial correlations were used to adjust for potential confounders. RESULTS: Lactate was higher among those with pre-pregnancy overweight/obese (OWOB, n = 29) compared to lean (n = 35) (fasting: OWOB 0.90 ± 0.26 v lean 0.72 ± 0.26, p = 0.007; 1 hr: OWOB 1.01 ± 0.37 v lean 0.76 ± 0.28, p = 0.005). Fasting and 1 hr lactate values were positively correlated to fasting and 1 hr insulin and HOMA-IR (p < 0.05). When adjusting for pre-pregnancy BMI, only 1 hr lactate (not fasting) was correlated to insulin (1 hr) and HOMA-IR (fasting and 1 hr)(p < 0.05). Fasting and 1 hr lactate was positively correlated to 1 hr RQ and this remained when adjusting for pre-pregnancy BMI and HOMA-IR(p < 0.05). CONCLUSIONS: These data indicate lactate is associated with other markers of metabolic dysfunction during pregnancy. Future work should assess the clinical utility of lactate (fasting or postprandial), assessed at time points throughout pregnancy, as a potential biomarker for metabolic dysfunction or adverse obstetric outcomes, as in gestational or pre-pregnancy diabetes or fetal growth restriction. Funding was provided by NIH NIGMS Grant 5P20GM103436, WKU RCAP Grant 17-8011, and UTGSM Coffman Pediatric Research Endowment.

Medicine & Science in Sports & ExerciseVol. 56(10S)
East Carolina University (US), Western Kentucky University (US)
Openalex Percentile: Top 75%
Birth, Development, and Health
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.