1H NMR spectroscopic studies on human seminal plasma: A probative discriminant function analysis classification model

Traditional seminal fluid-based clinical descriptors used to predict infertility and sub-fertility have shortcomings, including lack of insight into the underlying pathology. These methods are also time-consuming and labor-intensive. To address these limitations, 1H nuclear magnetic resonance (NMR)...

Full description

Saved in:
Bibliographic Details
Published in:Journal of pharmaceutical and biomedical analysis 2011, Vol.54 (1), p.106-113
Main Authors: Gupta, Ashish, Mahdi, Abbas Ali, Ahmad, Mohammad Kaleem, Shukla, Kamla Kant, Jaiswer, Shyam Pyari, Shankhwar, Satya Narain
Format: Article
Language:English
Subjects:
Adult
Case-Control Studies
Discriminant function analysis
Humans
Infertility
Infertility, Male - diagnosis
Lipid Peroxidation
Magnetic Resonance Spectroscopy - methods
Male
Middle Aged
Models, Statistical
Multivariate Analysis
NMR spectroscopy
Oligospermia - metabolism
Propionates - chemistry
Semen - metabolism
Seminal plasma
Sensitivity and Specificity
Sperm Motility
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Traditional seminal fluid-based clinical descriptors used to predict infertility and sub-fertility have shortcomings, including lack of insight into the underlying pathology. These methods are also time-consuming and labor-intensive. To address these limitations, 1H nuclear magnetic resonance (NMR) spectroscopy was used to identify and classify signature biomarkers. Semen samples collected from 60 healthy, fertile men and from 125 infertile (normozoospermic and oligozoospermic) patients. Lactate, alanine, choline, citrate, glycerophosphocholine (GPC), glutamine, tyrosine, histidine, phenylalanine, and uridine were measured by 1H NMR spectroscopy. The sperm concentration, motility, lipid peroxidation, and total protein were evaluated with standard laboratory methods in the same samples. NMR-quantified metabolites and clinical laboratory data were analyzed, separately, through linear multivariate discriminant function analysis (DFA) to determine the signature descriptors for each group. DFA reveals that alanine, citrate, GPC, tyrosine, and phenylalanine can be used to determine infertility. DFA-based classification demonstrated high accuracy (92.4% by NMR and 94.1% by clinical laboratory method) in differentiating healthy controls from infertile patients. This statistical analysis was also able to accurately classify normozoospermic to oligozoospermic samples (92.9% by NMR and 92.6% by clinical laboratory method). In conclusion, 1H NMR-based metabolic screening appears to be a promising, rapid, and non-invasive approach to probing infertility that has similar sensitivity and specificity to the tedious laboratory method.
ISSN:0731-7085
1873-264X
DOI:10.1016/j.jpba.2010.07.021