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DOI 10.3390/diagnostics9040197

Медицинская библиотека · Diagnostics (Basel, Switzerland) · 2019

Is the Fatty Acids Profile in Blood a Good Predictor of Liver Changes? Correlation of Fatty Acids Profile with Fatty Acids Content in the Liver.

Maciejewska Dominika, Palma Joanna, Dec Karolina, Skonieczna-Żydecka Karolina, Gutowska Izabela, Szczuko Małgorzata, Jakubczyk Karolina, Stachowska Ewa

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Аннотация

BACKGROUND

Existing data show a correlation between the profile of fatty acids, liver, and blood. Therefore, the aim of our study was to investigate the correlation between the fatty acids profile in blood pallets and the liver.

METHODS

The experiment was performed on 60 eight-week-old male Sprague-Dawley rats. The study group (n = 30, 5 groups, 6 rats each) received a cholesterol diet; the control group (n = 30, 5 groups, 6 rats each) received standard food for laboratory rats. The rats from both the study and control groups were sacrificed after 2, 4, 8, 12, and 16 weeks of dietary exposure. The fatty acids profile was measured using gas chromatography (GC).

RESULTS

In both the control and study group, the highest correlations were observed in palmitoleic acid (RHO = 0.68), heptadecanoic acid (RHO = 0.65), vaccenic acid (RHO = 0.72), eicosapentaenoic acid (RHO = 0.68), docosapentaenoic acid (RHO = 0.77), and docosahexaenoic (RHO = 0.77). Among liver indexes, the highest correlations were desaturase-18 (0.61).

CONCLUSIONS

Fatty acids profile is a sensitive marker of the development of potentially pathological changes in the liver. The potential markers of fatty liver are: oleic acid, vaccenic acid, EPA, DHA, docosapentaenoic acid, and desaturase index (SCD-18 index).

Для цитирования: Maciejewska Dominika, Palma Joanna, Dec Karolina, Skonieczna-Żydecka Karolina, Gutowska Izabela, Szczuko Małgorzata, Jakubczyk Karolina, Stachowska Ewa. Is the Fatty Acids Profile in Blood a Good Predictor of Liver Changes? Correlation of Fatty Acids Profile with Fatty Acids Content in the Liver.. Diagnostics (Basel, Switzerland). 2019. DOI: 10.3390/diagnostics9040197.
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