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

Ashish Gupta, Abbas Ali Mahdi, Mohammad Kaleem Ahmad, Kamla Kant Shukla, Shyam Pyari Jaiswer, Satya Narain Shankhwar

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish (US)
Pages (from-to)106-113
Number of pages8
JournalJournal of Pharmaceutical and Biomedical Analysis
Volume54
Issue number1
DOIs
StatePublished - Jan 1 2011

Keywords

  • Discriminant function analysis
  • Infertility
  • NMR spectroscopy
  • Seminal plasma

ASJC Scopus subject areas

  • Analytical Chemistry
  • Pharmaceutical Science
  • Drug Discovery
  • Spectroscopy
  • Clinical Biochemistry

Fingerprint Dive into the research topics of '<sup>1</sup>H NMR spectroscopic studies on human seminal plasma: A probative discriminant function analysis classification model'. Together they form a unique fingerprint.

  • Cite this