We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Plasma Eicosanoids Characterized During Gestation Predicts Outcome

By LabMedica International staff writers
Posted on 03 Sep 2020
Print article
Image: The UltiMate 3000 RS HPLC system and mass spectrometer (Photo courtesy of Thermo Fisher Scientific).
Image: The UltiMate 3000 RS HPLC system and mass spectrometer (Photo courtesy of Thermo Fisher Scientific).
Fetal growth disorders are major risk factors for adverse pregnancy and later life outcomes. Proxy outcomes for disorders of fetal growth include small for gestational age (SGA) and large for gestational age (LGA) birth weight. Risk factors for SGA include maternal obstetrical complications, fetal genetic factors, infection, and various medical conditions.

Eicosanoids, an important class of lipid mediators derived from polyunsaturated fatty acids, can act as both direct influences and biomarkers of inflammation through a variety of biological pathways. Eicosanoids produced from the oxygenation of polyunsaturated fatty acid precursors, including the primary omega-6 fatty acids (linoleic acid [LA] and arachidonic acid [AA]) and omega-3 fatty acids (docosahexaenoic acid [DHA] and eicosapentaenoic acid.

Scientists from the National Institute of Environmental Health Sciences (Research Triangle, NC, USA) and their colleagues carried out a case–control study of 90 pregnant women within a cohort study that included 31 women who delivered small for gestational age (SGA) babies (SGA, ≤10th percentile), 28 who delivered large for gestational age (LGA) babies (≥90th percentile), and 31 who delivered appropriate for gestational age (AGA) babies (controls, >10th to <90th percentile).

A panel of eicosanoids and fatty acids was measured in plasma samples by the mass spectrometry. Non-esterified (free) eicosanoid and fatty acid levels were quantified by liquid chromatography with tandem mass spectrometry (LC-MS/MS). Online liquid chromatography and electrospray ionization tandem mass spectrometry of extracted plasma samples were performed on an UltiMate 3000 RS HPLC system and Quantiva mass spectrometer (Thermo Fisher Scientific, Waltham, MA, USA). For statistical analyses, they examined eicosanoids that were detected in ≥50% of all plasma samples analyzed. A total of 27 eicosanoids met this criterion while the other 30 were excluded.

The scientists reported that maternal plasma levels of eicosanoids and fatty acids generally followed U-shaped curve patterns across gestation. Bayesian models showed that associations between eicosanoids and case status varied by biosynthetic pathway. Eicosanoids derived from AA via the cytochrome P450 (CYP) and lipoxygenase (LOX) biosynthetic pathways were positively associated with SGA. The adjusted mean concentration of 12-Hydroxyeicosatetraenoic acid (12-HETE), a LOX pathway product, was 56.2% higher among SGA cases compared to AGA controls. Eicosanoid associations with LGA were mostly null, but negative associations were observed with eicosanoids derived from AA by LOX enzymes. The fatty acid precursors had estimated mean concentrations 41%–97% higher among SGA cases and 33%–39% lower among LGA cases compared to controls.

The authors concluded that eicosanoids and fatty acids systematically change in maternal plasma over pregnancy. Eicosanoids from specific inflammation-related pathways were higher in mothers of SGA cases and mostly similar in mothers of LGA cases compared to controls. These findings can provide deeper insight into etiologic mechanisms of abnormal fetal growth outcomes. The study was published on August 14, 2020 in the journal PLOS Medicine.




Platinum Member
Xylazine Immunoassay Test
Xylazine ELISA
Magnetic Bead Separation Modules
MAG and HEATMAG
Complement 3 (C3) Test
GPP-100 C3 Kit
Gold Member
hCG Whole Blood Pregnancy Test
VEDALAB hCG-CHECK-1

Print article

Channels

Molecular Diagnostics

view channel
Image: Signs of multiple sclerosis show up in blood years before symptoms appear (Photo courtesy of vitstudio/Shutterstock)

Unique Autoantibody Signature to Help Diagnose Multiple Sclerosis Years before Symptom Onset

Autoimmune diseases such as multiple sclerosis (MS) are thought to occur partly due to unusual immune responses to common infections. Early MS symptoms, including dizziness, spasms, and fatigue, often... Read more

Hematology

view channel
Image: The CAPILLARYS 3 DBS devices have received U.S. FDA 510(k) clearance (Photo courtesy of Sebia)

Next Generation Instrument Screens for Hemoglobin Disorders in Newborns

Hemoglobinopathies, the most widespread inherited conditions globally, affect about 7% of the population as carriers, with 2.7% of newborns being born with these conditions. The spectrum of clinical manifestations... Read more

Immunology

view channel
Image: Exosomes can be a promising biomarker for cellular rejection after organ transplant (Photo courtesy of Nicolas Primola/Shutterstock)

Diagnostic Blood Test for Cellular Rejection after Organ Transplant Could Replace Surgical Biopsies

Transplanted organs constantly face the risk of being rejected by the recipient's immune system which differentiates self from non-self using T cells and B cells. T cells are commonly associated with acute... Read more

Microbiology

view channel
Image: Microscope image showing human colorectal cancer tumor with Fusobacterium nucleatum stained in a red-purple color (Photo courtesy of Fred Hutch Cancer Center)

Mouth Bacteria Test Could Predict Colon Cancer Progression

Colon cancer, a relatively common but challenging disease to diagnose, requires confirmation through a colonoscopy or surgery. Recently, there has been a worrying increase in colon cancer rates among younger... Read more

Pathology

view channel
Image: A new study has identified patterns that predict ovarian cancer relapse (Photo courtesy of Cedars-Sinai)

Spatial Tissue Analysis Identifies Patterns Associated With Ovarian Cancer Relapse

High-grade serous ovarian carcinoma is the most lethal type of ovarian cancer, and it poses significant detection challenges. Typically, patients initially respond to surgery and chemotherapy, but the... Read more