Characterization of π-Interactions in Native Collagen by Solid-State NMR Spectroscopy

Collagen, a key extracellular matrix (ECM) protein of bone, provides connective tissues with strength and cohesion through its unique triple-helical structure, whose disruption is linked to numerous diseases and aging. The nanoscale organization of collagen within native bone ECM remains poorly understood. In this study, we employ high-resolution fast magic-angle spinning (MAS) solid-state NMR (ssNMR) spectroscopy to investigate collagen structure directly within the native bone matrix. Using two-dimensional (2D) <sup>1</sup>H-detected <sup>13</sup>C-<sup>1</sup>H double cross-polarization experiments at 70 kHz MAS, we detect signals from low-abundance residues and uncover previously unresolved inter-residue correlations in the aliphatic region. These proximities suggest potential π-interactions between aromatic residues and anionic or imino acids within the triple helix. Such interactions could provide additional stabilizing forces that are frequently overlooked in hydrogen bond-centered structural models. Our results reveal previously missing insights into the chemico-physical basis of collagen structural stabilization in the native ECM, laying the foundation for understanding disease-related structural changes and guiding the design of biomimetic materials to advance tissue engineering.

Authors

Institutions

Publication Details

Journal
The Journal of Physical Chemistry B
Published
2025-12-09
DOI
https://doi.org/10.1021/acs.jpcb.5c05838
Primary Topic
Advanced NMR Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Characterization of π-Interactions in Native Collagen by Solid-State NMR Spectroscopy

Vipin Agarwal, Neeraj Sinha, Bijaylaxmi Patra
The Journal of Physical Chemistry B
Advanced NMR Techniques and Applications
article

Characterization of π-Interactions in Native Collagen by Solid-State NMR Spectroscopy

Vipin Agarwal, Neeraj Sinha, Bijaylaxmi Patra
article en

Abstract

Collagen, a key extracellular matrix (ECM) protein of bone, provides connective tissues with strength and cohesion through its unique triple-helical structure, whose disruption is linked to numerous diseases and aging. The nanoscale organization of collagen within native bone ECM remains poorly understood. In this study, we employ high-resolution fast magic-angle spinning (MAS) solid-state NMR (ssNMR) spectroscopy to investigate collagen structure directly within the native bone matrix. Using two-dimensional (2D) <sup>1</sup>H-detected <sup>13</sup>C-<sup>1</sup>H double cross-polarization experiments at 70 kHz MAS, we detect signals from low-abundance residues and uncover previously unresolved inter-residue correlations in the aliphatic region. These proximities suggest potential π-interactions between aromatic residues and anionic or imino acids within the triple helix. Such interactions could provide additional stabilizing forces that are frequently overlooked in hydrogen bond-centered structural models. Our results reveal previously missing insights into the chemico-physical basis of collagen structural stabilization in the native ECM, laying the foundation for understanding disease-related structural changes and guiding the design of biomimetic materials to advance tissue engineering.

The Journal of Physical Chemistry BVol. 130(6)
Tata Institute of Fundamental Research (IN), Sanjay Gandhi Post Graduate Institute of Medical Sciences (IN), Centre of Biomedical Research (IN), Academy of Scientific and Innovative Research (IN)
Openalex Percentile: Top 65%
Advanced NMR Techniques and Applications
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.