Plasma Eicosanoids Characterized During Gestation Predicts Outcome
By LabMedica International staff writers Posted on 03 Sep 2020 |

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.
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.
Latest Clinical Chem. News
- New Clinical Chemistry Analyzer Designed to Meet Growing Demands of Modern Labs
- New Reference Measurement Procedure Standardizes Nucleic Acid Amplification Test Results
- Pen-Like Tool Quickly and Non-Invasively Detects Opioids from Skin
- Simple Urine Test Could Detect Multiple Cancers at Early Stage
- Earwax Test Accurately Detects Parkinson’s by Identifying Odor Molecules
- First-Of-Its-Kind Quantitative Method Assesses Opioid Exposure in Newborns
- Paper-Based Devices Outperform Existing Methods in Diagnosing Asymptomatic Malaria
- Simple Skin Test Could Revolutionize Diagnosis of Pediatric Eosinophilic Esophagitis
- Portable Diagnostic Tool Uses Bioluminescence to Detect Viruses at POC
- AI-Powered Lung Maturity Test Identifies Newborns at Higher Risk of Respiratory Distress
- AI-Powered Blood Test Accurately Detects Ovarian Cancer
- Automated Decentralized cfDNA NGS Assay Identifies Alterations in Advanced Solid Tumors
- Mass Spectrometry Detects Bacteria Without Time-Consuming Isolation and Multiplication
- First Comprehensive Syphilis Test to Definitively Diagnose Active Infection In 10 Minutes
- Mass Spectrometry-Based Monitoring Technique to Predict and Identify Early Myeloma Relapse
- ‘Brilliantly Luminous’ Nanoscale Chemical Tool to Improve Disease Detection
Channels
Molecular Diagnostics
view channel
New Biomarker Panel to Enable Early Detection of Pancreatic Cancer
Pancreatic cancer (PC) has one of the worst prognoses globally, with only 13% of diagnosed patients surviving for five years or more. In Ireland, there are about 900 cases of pancreatic cancer annually,... Read more
Ultrarapid Whole Genome Sequencing for Neonatal and Pediatric Patients Delivers Results In 48 Hours
Genetic diseases are the leading identifiable cause of infant mortality, and early diagnosis is crucial to improve patient outcomes. In the neonatal and pediatric intensive care units (NICU and PICU),... Read more
AI-Enabled Blood Test Demonstrates Diagnostic, Prognostic and Predictive Utility Across Cancer Continuum
Cancer remains a major challenge in healthcare due to difficulties in early detection and accurate diagnosis. Many cancers are diagnosed at advanced stages, limiting treatment options and impacting survival rates.... Read moreHematology
view channel
Disposable Cartridge-Based Test Delivers Rapid and Accurate CBC Results
Complete Blood Count (CBC) is one of the most commonly ordered lab tests, crucial for diagnosing diseases, monitoring therapies, and conducting routine health screenings. However, more than 90% of physician... Read more
First Point-of-Care Heparin Monitoring Test Provides Results in Under 15 Minutes
Heparin dosing requires careful management to avoid both bleeding and clotting complications. In high-risk situations like extracorporeal membrane oxygenation (ECMO), mortality rates can reach about 50%,... Read moreImmunology
view channel
Evolutionary Clinical Trial to Identify Novel Biomarker-Driven Therapies for Metastatic Breast Cancer
Metastatic breast cancer, which occurs when cancer spreads from the breast to other parts of the body, is one of the most difficult cancers to treat. Nearly 90% of patients with metastatic cancer will... Read more
Groundbreaking Lateral Flow Test Quantifies Nucleosomes in Whole Venous Blood in Minutes
Diagnosing immune disruptions quickly and accurately is crucial in conditions such as sepsis, where timely intervention is critical for patient survival. Traditional testing methods can be slow, expensive,... Read moreMicrobiology
view channel
Viral Load Tests Can Help Predict Mpox Severity
Mpox is a viral infection that causes flu-like symptoms and a characteristic rash, which evolves significantly over time and varies between patients. The disease spreads mainly through direct contact with... Read more
Gut Microbiota Analysis Enables Early and Non-Invasive Detection of Gestational Diabetes
Gestational diabetes mellitus is a common metabolic disorder marked by abnormal glucose metabolism during pregnancy, typically emerging in the mid to late stages. It significantly heightens the risk of... Read morePathology
view channel
AI Accurately Predicts Genetic Mutations from Routine Pathology Slides for Faster Cancer Care
Current cancer treatment decisions are often guided by genetic testing, which can be expensive, time-consuming, and not always available at leading hospitals. For patients with lung adenocarcinoma, a critical... Read more
AI Tool Enhances Interpretation of Tissue Samples by Pathologists
Malignant melanoma, a form of skin cancer, is diagnosed by pathologists based on tissue samples. A crucial aspect of this process is estimating the presence of tumor-infiltrating lymphocytes (TILs), immune... Read more
AI-Assisted Technique Tracks Cells Damaged from Injury, Aging and Disease
Senescent cells, which stop growing and reproducing due to injury, aging, or disease, play a critical role in wound repair and aging-related diseases like cancer and heart disease. These cells, however,... Read more
Novel Fluorescent Probe Shows Potential in Precision Cancer Diagnostics and Fluorescence-Guided Surgery
Hepatocellular carcinoma (HCC), a common type of liver cancer, is difficult to diagnose early and accurately due to the limitations of current diagnostic methods. Glycans, carbohydrate structures present... Read moreTechnology
view channel
Multifunctional Nanomaterial Simultaneously Performs Cancer Diagnosis, Treatment, and Immune Activation
Cancer treatments, including surgery, radiation therapy, and chemotherapy, have significant limitations. These treatments not only target cancerous areas but also damage healthy tissues, causing side effects... Read more
Ultra-Sensitive Biosensor Based on Light and AI Enables Early Cancer Diagnosis
Cancer diagnosis is often delayed due to the difficulty in detecting early-stage cancer markers. In particular, the concentration of methylated DNA in the bloodstream during the early stages of cancer... Read moreIndustry
view channel
2025 COMPAMED Innovation Forum Highlights Pioneering Work in Cancer Diagnostics
Cancer cases are among the biggest challenges faced by global healthcare systems. The incidence has risen in recent decades, not least on account of demographic change and escalating risk factors.... Read more
Quanterix Completes Acquisition of Akoya Biosciences
Quanterix Corporation (Billerica, MA, USA) has completed its previously announced acquisition of Akoya Biosciences (Marlborough, MA, USA), paving the way for the creation of the first integrated solution... Read more
Lunit and Microsoft Collaborate to Advance AI-Driven Cancer Diagnosis
Lunit (Seoul, South Korea) and Microsoft (Redmond, WA, USA) have entered into a collaboration to accelerate the delivery of artificial intelligence (AI)-powered healthcare solutions. In conjunction with... Read more