Limits...
Metabotypes with properly functioning mitochondria and anti-inflammation predict extended productive life span in dairy cows.

Huber K, Dänicke S, Rehage J, Sauerwein H, Otto W, Rolle-Kampczyk U, von Bergen M - Sci Rep (2016)

Bottom Line: In a longitudinal study from 42 days before up to 100 days after parturition, we identified metabolites such as long-chain acylcarnitines and biogenic amines associated with extended productive life spans.These metabolites are mainly secreted by the liver and depend on the functionality of hepatic mitochondria.The concentrations of biogenic amines and some acylcarnitines differed already before the onset of lactation thus indicating their predictive potential for continuation or early ending of productive life.

View Article: PubMed Central - PubMed

Affiliation: Institute of Animal Science, University of Hohenheim, Germany.

ABSTRACT
The failure to adapt metabolism to the homeorhetic demands of lactation is considered as a main factor in reducing the productive life span of dairy cows. The so far defined markers of production performance and metabolic health in dairy cows do not predict the length of productive life span satisfyingly. This study aimed to identify novel pathways and biomarkers related to productive life in dairy cows by means of (targeted) metabolomics. In a longitudinal study from 42 days before up to 100 days after parturition, we identified metabolites such as long-chain acylcarnitines and biogenic amines associated with extended productive life spans. These metabolites are mainly secreted by the liver and depend on the functionality of hepatic mitochondria. The concentrations of biogenic amines and some acylcarnitines differed already before the onset of lactation thus indicating their predictive potential for continuation or early ending of productive life.

No MeSH data available.


Related in: MedlinePlus

Exploratory data analysis to identify metabotypes.Principal component analyses (PCA) of physiological (dry matter intake, energy balance, glucose, non-esterified fatty acids, beta hydroxybutyrate, glycerol, insulin, liver triglycerides, visceral adipose tissue, back fat thickness) and metabolomics (acylcarnitines, proteinogenic and modified amino acids, glycerophospho- and sphingolipids, biogenic amines and hexoses) markers at days −42, +3, +21 and +100 related to calving. The two metabotypes, cows left productive life early (LE, red dots) and healthy cows (H, green dots) were clearly separated by metabolomics markers at day 21 and 100, while physiological markers revealed a clear separation at day +3 only.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
getmorefigures.php?uid=PMC4835701&req=5

f1: Exploratory data analysis to identify metabotypes.Principal component analyses (PCA) of physiological (dry matter intake, energy balance, glucose, non-esterified fatty acids, beta hydroxybutyrate, glycerol, insulin, liver triglycerides, visceral adipose tissue, back fat thickness) and metabolomics (acylcarnitines, proteinogenic and modified amino acids, glycerophospho- and sphingolipids, biogenic amines and hexoses) markers at days −42, +3, +21 and +100 related to calving. The two metabotypes, cows left productive life early (LE, red dots) and healthy cows (H, green dots) were clearly separated by metabolomics markers at day 21 and 100, while physiological markers revealed a clear separation at day +3 only.

Mentions: Considering physiological (DMI, EB, glucose, NEFA, BHBA, glycerol, insulin, LTAG, VAT, BFT) and metabolomics markers, at day −42, PCA of both did not reveal any separation of groups (Fig. 1a,b). Only at day +3 the PCA of physiological markers indicated a clear separation of the two different groups in the cohort (Fig. 1c), while PCA of metabolomics markers showed lower power to discriminate between the two groups (Fig. 1d). However, at day +21 (Fig. 1e,f) and more pronounced, at day +100 (Fig. 1g,h) the PCA of metabolomic markers indicated a clear separation of LE and H group, while physiological markers did not reveal any separation. The distribution of metabolites in the comparison of LE versus H revealed over all time points a significant up-regulation of certain metabolites in the H group (Fig. 2).


Metabotypes with properly functioning mitochondria and anti-inflammation predict extended productive life span in dairy cows.

Huber K, Dänicke S, Rehage J, Sauerwein H, Otto W, Rolle-Kampczyk U, von Bergen M - Sci Rep (2016)

Exploratory data analysis to identify metabotypes.Principal component analyses (PCA) of physiological (dry matter intake, energy balance, glucose, non-esterified fatty acids, beta hydroxybutyrate, glycerol, insulin, liver triglycerides, visceral adipose tissue, back fat thickness) and metabolomics (acylcarnitines, proteinogenic and modified amino acids, glycerophospho- and sphingolipids, biogenic amines and hexoses) markers at days −42, +3, +21 and +100 related to calving. The two metabotypes, cows left productive life early (LE, red dots) and healthy cows (H, green dots) were clearly separated by metabolomics markers at day 21 and 100, while physiological markers revealed a clear separation at day +3 only.
© Copyright Policy - open-access
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC4835701&req=5

f1: Exploratory data analysis to identify metabotypes.Principal component analyses (PCA) of physiological (dry matter intake, energy balance, glucose, non-esterified fatty acids, beta hydroxybutyrate, glycerol, insulin, liver triglycerides, visceral adipose tissue, back fat thickness) and metabolomics (acylcarnitines, proteinogenic and modified amino acids, glycerophospho- and sphingolipids, biogenic amines and hexoses) markers at days −42, +3, +21 and +100 related to calving. The two metabotypes, cows left productive life early (LE, red dots) and healthy cows (H, green dots) were clearly separated by metabolomics markers at day 21 and 100, while physiological markers revealed a clear separation at day +3 only.
Mentions: Considering physiological (DMI, EB, glucose, NEFA, BHBA, glycerol, insulin, LTAG, VAT, BFT) and metabolomics markers, at day −42, PCA of both did not reveal any separation of groups (Fig. 1a,b). Only at day +3 the PCA of physiological markers indicated a clear separation of the two different groups in the cohort (Fig. 1c), while PCA of metabolomics markers showed lower power to discriminate between the two groups (Fig. 1d). However, at day +21 (Fig. 1e,f) and more pronounced, at day +100 (Fig. 1g,h) the PCA of metabolomic markers indicated a clear separation of LE and H group, while physiological markers did not reveal any separation. The distribution of metabolites in the comparison of LE versus H revealed over all time points a significant up-regulation of certain metabolites in the H group (Fig. 2).

Bottom Line: In a longitudinal study from 42 days before up to 100 days after parturition, we identified metabolites such as long-chain acylcarnitines and biogenic amines associated with extended productive life spans.These metabolites are mainly secreted by the liver and depend on the functionality of hepatic mitochondria.The concentrations of biogenic amines and some acylcarnitines differed already before the onset of lactation thus indicating their predictive potential for continuation or early ending of productive life.

View Article: PubMed Central - PubMed

Affiliation: Institute of Animal Science, University of Hohenheim, Germany.

ABSTRACT
The failure to adapt metabolism to the homeorhetic demands of lactation is considered as a main factor in reducing the productive life span of dairy cows. The so far defined markers of production performance and metabolic health in dairy cows do not predict the length of productive life span satisfyingly. This study aimed to identify novel pathways and biomarkers related to productive life in dairy cows by means of (targeted) metabolomics. In a longitudinal study from 42 days before up to 100 days after parturition, we identified metabolites such as long-chain acylcarnitines and biogenic amines associated with extended productive life spans. These metabolites are mainly secreted by the liver and depend on the functionality of hepatic mitochondria. The concentrations of biogenic amines and some acylcarnitines differed already before the onset of lactation thus indicating their predictive potential for continuation or early ending of productive life.

No MeSH data available.


Related in: MedlinePlus