Asymmetric Dimethylarginine Vibrational Spectroscopy Spectra and Density Functional Theory Model

N<sup>G</sup>, N<sup>G</sup>-dimethylarginine (ADMA) is an endogenous compound that acts as a competitive inhibitor of nitric oxide synthase (NOS), thereby reducing nitric oxide (NO) production and contributing to endothelial dysfunction. This dysfunction plays a pivotal role in the development of various pathological conditions, including cardiovascular disease, chronic renal failure, and diabetes. The diminished bioavailability of NO is a critical factor in the progression of these disorders, and alterations in ADMA levels have emerged as significant predictors of cardiovascular events and mortality. In this study, we investigated the molecular characteristics of ADMA using a combined approach of Raman and Fourier Transform Infrared (FT-IR) spectroscopy, complemented by computational simulations with the GaussView 5.0.8 and Gaussian 09 software suite. Experimental Raman and FT-IR spectra were acquired and compared with simulated spectra generated through Density Functional Theory (DFT) calculations. This comparative analysis enabled precise vibrational band assignments and the identification of key molecular vibrational modes, providing valuable insights into ADMA's structural and vibrational properties. These findings establish a comprehensive spectroscopic reference for ADMA, supporting its potential application as a biomarker in clinical diagnostics.

Authors

Institutions

Publication Details

Journal
Sensors
Published
2025-11-07
DOI
https://doi.org/10.3390/s25226818
Citations
1
Primary Topic
Nitric Oxide and Endothelin Effects
Type
article
Field-Weighted Citation Impact
1.16
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Asymmetric Dimethylarginine Vibrational Spectroscopy Spectra and Density Functional Theory Model

Erick Osvaldo Martínez Ruiz, A. Reyes-Reyes, M. C. Rodríguez‐Aranda, Luis Carlos Ortiz-Dosal et al.
1 citations
Sensors
Nitric Oxide and Endothelin Effects
1.16
article

Asymmetric Dimethylarginine Vibrational Spectroscopy Spectra and Density Functional Theory Model

Erick Osvaldo Martínez Ruiz, A. Reyes-Reyes, M. C. Rodríguez‐Aranda, Luis Carlos Ortiz-Dosal, Alejandra Ortiz-Dosal, Eleazar Samuel Kolosovas‐Machuca, Edgar Guevara, Emmanuel Rivera-Pérez, Luis Pablo Canul-Solis
article en
1 citations

Abstract

N<sup>G</sup>, N<sup>G</sup>-dimethylarginine (ADMA) is an endogenous compound that acts as a competitive inhibitor of nitric oxide synthase (NOS), thereby reducing nitric oxide (NO) production and contributing to endothelial dysfunction. This dysfunction plays a pivotal role in the development of various pathological conditions, including cardiovascular disease, chronic renal failure, and diabetes. The diminished bioavailability of NO is a critical factor in the progression of these disorders, and alterations in ADMA levels have emerged as significant predictors of cardiovascular events and mortality. In this study, we investigated the molecular characteristics of ADMA using a combined approach of Raman and Fourier Transform Infrared (FT-IR) spectroscopy, complemented by computational simulations with the GaussView 5.0.8 and Gaussian 09 software suite. Experimental Raman and FT-IR spectra were acquired and compared with simulated spectra generated through Density Functional Theory (DFT) calculations. This comparative analysis enabled precise vibrational band assignments and the identification of key molecular vibrational modes, providing valuable insights into ADMA's structural and vibrational properties. These findings establish a comprehensive spectroscopic reference for ADMA, supporting its potential application as a biomarker in clinical diagnostics.

SensorsVol. 25(22)
Autonomous University of San Luis Potosí (MX), Universidad Autónoma de Zacatecas "Francisco García Salinas" (MX)
Openalex Percentile: Top 16%
Nitric Oxide and Endothelin Effects
1.16
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.