Near-UV Circular Dichroism and Second-Derivative Fluorescence Spectroscopy as Complementary Tools for Studying Ligand–Albumin Interactions
Abstract
1. Introduction
2. Results and Discussion
2.1. Assessment of the Tertiary Structure of Albumins by Near-UV CD Spectroscopy
2.2. Assessment of the Tertiary Structure of Albumins by Second-Derivative Fluorescence Spectra
3. Materials and Methods
3.1. Chemicals and Reagents
3.2. Methods
3.2.1. Sample Preparation
3.2.2. Circular Dichroism (CD) and Fluorescence Spectroscopy
3.3. Statistical Analysis
4. Conclusions
- (i)
- Glycation significantly alters the tertiary structure of HSA and reduces its drug-binding capacity at Sudlow’s sites I and II. Fructose-glycated HSA showed the most pronounced structural changes, confirming fructose as the most reactive glycation agent.
- (ii)
- PHB induced distinct structural rearrangements, manifested by a characteristic enhancement of the ellipticity peak at ~290 nm, which indicates perturbations in the chiral environment near Trp14 within Sudlow’s site I.
- (iii)
- KP caused weaker, site-specific conformational perturbations, primarily within hydrophobic domains enriched in Phe residues.
- (iv)
- Glycation reduces the hydrophobicity of the aromatic residue environment, making it more exposed and polar, whereas the microenvironment of Trp214 remained relatively stable.
- (v)
- Ligands modulate the conformational flexibility of glycated albumin mainly through the reorganization of Tyr-rich domains, rather than by directly affecting the surroundings of the single Trp214.
- (vi)
- The findings demonstrate that glycation heterogeneity significantly influences drug binding, a finding relevant to pharmacokinetics in diabetes and other metabolic disorders.
Supplementary Materials
Funding
Data Availability Statement
Conflicts of Interest
Abbreviations
| AGEs | Advanced glycation end-products |
| CD | Circular dichroism |
| FRC | D(−)-fructose |
| GLC | D(+)-glucose |
| GFS | Glucose–fructose syrup |
| HSA | Human serum albumin |
| gHSAFRC | Human serum albumin glycated by fructose |
| gHSAGLC | Human serum albumin glycated by glucose |
| gHSAsyrup | Human serum albumin glycated by glucose–fructose syrup |
| KP | Ketoprofen |
| NSAIDs | Nonsteroidal anti-inflammatory drugs |
| SD | Standard deviation |
| PHB | Phenylbutazone |
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| Sample | H275nm mean ± SD * | λmin (nm) | λmax (nm) | H295nm mean ± SD * | λmin (nm) | λmax (nm) |
|---|---|---|---|---|---|---|
| HSA | 0.842 ± 0.040 (a) | 301 | 313 | 0.014 ± 0.003 | 383 | 389 |
| (PHB–HSA)complex—PHBnorm | 1.732 ± 0.172 (a) | 308 | 318 | 0.020 ± 0.006 | 391 | 395 |
| (KP–HSA)complex—KPnorm | 0.558 ± 0.086 (a) | 308 | 317 | 0.011 ± 0.007 | 392 | 396 |
| gHSAGLC | 0.794 ± 0.012 (b) | 301 | 314 | 0.016 ± 0.005 | 387 | 394 |
| (PHB–gHSAGLC)complex—PHBnorm | 1.442 ± 0.050 (b) | 308 | 318 | 0.020 ± 0.008 | 378 | 384 |
| (KP–gHSAGLC)complex—KPnorm | 0.214 ± 0.003 (b) | 309 | 316 | 0.027 ± 0.001 | 383 | 391 |
| gHSAFRC | 0.172 ± 0.013 (c) | 299 | 305 | 0.009 ± 0.005 | 393 | 372 |
| (PHB–gHSAFRC)complex—PHBnorm | 0.352 ± 0.039 (c) | 308 | 317 | 0.025 ± 0.011 | 394 | 386 |
| (KP–gHSAFRC)complex—KPnorm | 0.369 ± 0.017 (c) | 311 | 302 | 0.010 ± 0.004 | 382 | 387 |
| gHSAsyrup | 0.219 ± 0.033 (d) | 300 | 307 | 0.003 ± 0.002 (e) | 381 | 386 |
| (PHB–gHSAsyrup)complex—PHBnorm | 0.641 ± 0.051 (d) | 306 | 317 | 0.002 ± 0.002 | 383 | 387 |
| (KP–gHSAsyrup)complex—KPnorm | 0.479 ± 0.010 (d) | 311 | 302 | 0.027 ± 0.009 (e) | 391 | 383 |
| Sample | H275nm | H295nm |
|---|---|---|
| Mean ± SD * | ||
| (PHB–HSA)complex—PHBnorm | 1.732 ± 0.172 | 0.020 ± 0.006 |
| (PHB–gHSAGLC)complex—PHBnorm | 1.442 ± 0.050 | 0.020 ± 0.008 |
| (PHB–gHSAFRC)complex—PHBnorm | 0.352 ± 0.039 | 0.025 ± 0.011 |
| (PHB–gHSAsyrup)complex—PHBnorm | 0.641 ± 0.051 | 0.002 ± 0.002 |
| One–way ANOVA (H275nm) Kruskal–Wallis ANOVA (H295nm) | F = 140.417 p < 0.001 | H = 7.269 p = 0.064 statistically non-significant differences (p > 0.05) |
| Tukey’s HSD test, n = 3 | all differences statistically significant (p < 0.05) | n.a. ** |
| (KP–HSA)complex—KPnorm | 0.558 ± 0.086 | 0.011 ± 0.007 |
| (KP–gHSAGLC)complex—KPnorm | 0.214 ± 0.003 | 0.020 ± 0.008 |
| (KP–gHSAFRC)complex—KPnorm | 0.369 ± 0.017 | 0.010 ± 0.004 |
| (KP–gHSAsyrup)complex—KPnorm | 0.479 ± 0.010 | 0.027 ± 0.009 |
| Kruskal–Wallis ANOVA | H = 10.385 | H = 7.989 |
| p = 0.016 | p = 0.046 | |
| MCT, n = 3 | statistically significant differences: (KP–HSA)complex—KPnorm vs. (KP–gHSAGLC)complex—KPnorm (p = 0.013) | statistically non-significant differences (p > 0.05) |
| HSA | 0.842 ± 0.040 | 0.014 ± 0.003 |
| gHSAGLC | 0.794 ± 0.012 | 0.016 ± 0.005 |
| gHSAFRC | 0.172 ± 0.013 | 0.009 ± 0.005 |
| gHSAsyrup | 0.219 ± 0.033 | 0.003 ± 0.002 |
| One-way ANOVA | F = 518.875 | F = 6.478 |
| p < 0.001 | p = 0.016 | |
| Tukey’s HSD test, n = 3 | significant differences: HSA vs. gHSAFRC, HSA vs. gHSAsyrup, gHSAGLC vs. gHSAFRC, gHSAGLC vs. gHSAsyrup (all p < 0.05) | significant differences: HSA vs. gHSAsyrup, gHSAGLC vs. gHSAsyrup (all p < 0.05) |
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Szkudlarek, A. Near-UV Circular Dichroism and Second-Derivative Fluorescence Spectroscopy as Complementary Tools for Studying Ligand–Albumin Interactions. Processes 2025, 13, 4000. https://doi.org/10.3390/pr13124000
Szkudlarek A. Near-UV Circular Dichroism and Second-Derivative Fluorescence Spectroscopy as Complementary Tools for Studying Ligand–Albumin Interactions. Processes. 2025; 13(12):4000. https://doi.org/10.3390/pr13124000
Chicago/Turabian StyleSzkudlarek, Agnieszka. 2025. "Near-UV Circular Dichroism and Second-Derivative Fluorescence Spectroscopy as Complementary Tools for Studying Ligand–Albumin Interactions" Processes 13, no. 12: 4000. https://doi.org/10.3390/pr13124000
APA StyleSzkudlarek, A. (2025). Near-UV Circular Dichroism and Second-Derivative Fluorescence Spectroscopy as Complementary Tools for Studying Ligand–Albumin Interactions. Processes, 13(12), 4000. https://doi.org/10.3390/pr13124000
