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Research article · 2025 · Full text

International Journal of Advanced Chemistry Research

Structural and functional analysis of hemoglobin variants using circular dichroism

Vasudha HegdeKamala Agarwal

Volume 7(2) · Pages 193–196 · DOI: 10.33545/26646781.2025.v7.i2c.432 ↗

Research areasHemoglobinopathies and Related DisordersHemoglobin structure and functionProtein Structure and Dynamics

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Abstract

Author-written

Abnormal hemoglobin variants affect an estimated 7% of the global population, yet the relationship between single amino acid substitutions and overall protein secondary structure isn't always straightforward. This research applied far-UV circular dichroism (CD) spectroscopy to characterise the secondary structure composition of five hemoglobin variants — HbA (normal adult), HbS, HbC, HbE, and HbF (fetal) — purified from patient blood samples at Rabindranath Tagore Open University, Bhubaneswar. CD spectra were recorded between 190 and 260 nm, and secondary structure fractions were estimated using the CONTIN/LL algorithm. HbA and HbF retained the highest α-helical content (74.3% and 72.9%), while HbE showed the most disruption (66.4% α-helix). Thermal denaturation experiments revealed corresponding differences in melting temperature. The findings demonstrate that even single-point mutations can measurably shift the helical balance of hemoglobin.

Summary

Source-checked

Plain-language reading of the full paper, prepared with AI and checked against the text. Each point links to the authors' own words.

  1. Why it matters

    • Hemoglobinopathies, including sickle cell disease, are among the most frequent inherited blood disorders globally, particularly in India, the Mediterranean, and sub-Saharan Africa. View evidence ↗

      Why it matters

      Hemoglobinopathies, including sickle cell disease, are among the most frequent inherited blood disorders globally, particularly in India, the Mediterranean, and sub-Saharan Africa.

      In the paper's own words

      “Sickle cell disease and other hemoglobinopathies collectively rank among the most common inherited blood disorders worldwide, with the highest prevalence in sub-Saharan Africa, India, and the Mediterranean basin [1].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • These disorders are caused by point mutations in globin genes that result in single amino acid substitutions, such as the glutamate to valine change seen in HbS. View evidence ↗

      Why it matters

      These disorders are caused by point mutations in globin genes that result in single amino acid substitutions, such as the glutamate to valine change seen in HbS.

      In the paper's own words

      “Each variant arises from a point mutation in the α- or β-globin gene, leading to a single amino acid change — glutamate to valine in HbS, glutamate to lysine in HbC, and glutamate to lysine at a different position in HbE [2].”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
    • While the genetic basis of these mutations is well-understood, the exact way they affect the protein's overall fold and stability is not yet fully resolved. View evidence ↗

      Why it matters

      While the genetic basis of these mutations is well-understood, the exact way they affect the protein's overall fold and stability is not yet fully resolved.

      In the paper's own words

      “These substitutions are well described at the genetic level, but how they translate into measurable changes in protein fold and stability isn't fully resolved.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  2. The question

    • The study aimed to analyze the secondary structure and thermal stability of five hemoglobin variants using identical measurement conditions to fill existing data gaps. View evidence ↗

      The question

      The study aimed to analyze the secondary structure and thermal stability of five hemoglobin variants using identical measurement conditions to fill existing data gaps.

      In the paper's own words

      “This research aimed to fill that gap by recording CD spectra and thermal melting curves for five hemoglobin variants processed and measured under identical conditions.”

      Page 1

      Found in: Introduction

      Read it in the full textOpen PDF at page 1 ↗
  3. What they did

    • Variants were purified using cation-exchange FPLC with a phosphate gradient and verified for purity via HPLC and cellulose acetate electrophoresis. View evidence ↗

      What they did

      Variants were purified using cation-exchange FPLC with a phosphate gradient and verified for purity via HPLC and cellulose acetate electrophoresis.

      In the paper's own words

      “Hemoglobin variants were separated by cation-exchange FPLC (HiTrap SP HP column, Cytiva) using a 10-200 mM phosphate gradient (pH 6.5). Purity was confirmed by cellulose acetate electrophoresis and HPLC on a Bio-Rad D-10 analyser.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Secondary structure was analyzed using far-UV circular dichroism (CD) spectroscopy from 190 to 260 nm, with fractions calculated via the CONTIN/LL algorithm. View evidence ↗

      What they did

      Secondary structure was analyzed using far-UV circular dichroism (CD) spectroscopy from 190 to 260 nm, with fractions calculated via the CONTIN/LL algorithm.

      In the paper's own words

      “Far-UV CD spectra were recorded on a JASCO J-815 spectropolarimeter using a 1 mm path-length quartz cuvette, scanning from 190 to 260 nm at 50 nm/min, with three accumulations per spectrum [8]. Secondary structure fractions were calculated using the CONTIN/LL method in the CDPro software package [9].”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
    • Thermal stability was measured by monitoring denaturation at 222 nm across a temperature range of 25 to 90°C to determine the melting temperature (Tm). View evidence ↗

      What they did

      Thermal stability was measured by monitoring denaturation at 222 nm across a temperature range of 25 to 90°C to determine the melting temperature (Tm).

      In the paper's own words

      “Thermal denaturation was monitored at 222 nm from 25 to 90°C at 1°C/min, and melting temperatures (Tm) were extracted from the first derivative of the sigmoidal curve.”

      Page 2

      Found in: Methods

      Read it in the full textOpen PDF at page 2 ↗
  4. What they found

    • Normal adult hemoglobin (HbA) exhibited the highest stability, with an α-helical content of 74.3% and a melting temperature of 64.7°C. View evidence ↗

      What they found

      Normal adult hemoglobin (HbA) exhibited the highest stability, with an α-helical content of 74.3% and a melting temperature of 64.7°C.

      In the paper's own words

      “HbA was the most stable, with 74.3% helix and a Tm of 64.7°C (Table 1).”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • HbE was the least stable variant, showing the lowest α-helical content at 66.4% and the lowest melting temperature at 56.8°C. View evidence ↗

      What they found

      HbE was the least stable variant, showing the lowest α-helical content at 66.4% and the lowest melting temperature at 56.8°C.

      In the paper's own words

      “HbE showed the lowest α-helical content (66.4%) and the lowest melting temperature (56.8°C).”

      Page 2

      Found in: Results

      Read it in the full textOpen PDF at page 2 ↗
    • The study found a close correlation between structure and stability, where every 1% decrease in α-helix roughly corresponded to a 1°C drop in melting temperature. View evidence ↗

      What they found

      The study found a close correlation between structure and stability, where every 1% decrease in α-helix roughly corresponded to a 1°C drop in melting temperature.

      In the paper's own words

      “The Tm values tracked helical content closely: each 1% drop in α-helix corresponded to roughly a 1°C decrease in melting temperature”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
  5. What it means

    • The authors concluded that single amino acid substitutions cause measurable structural shifts, with HbE and HbS showing the most significant loss of α-helical content and thermal stability. View evidence ↗

      What it means

      The authors concluded that single amino acid substitutions cause measurable structural shifts, with HbE and HbS showing the most significant loss of α-helical content and thermal stability.

      In the paper's own words

      “CD spectroscopy confirmed that single amino acid substitutions in hemoglobin produce measurable shifts in secondary structure. HbE and HbS exhibited the largest losses in α-helical content and the lowest thermal stability among the five variants examined.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The results suggest that CD spectroscopy is a valuable screening tool for assessing structural changes in hemoglobin, which may help develop therapies to stabilize variant globins. View evidence ↗

      What it means

      The results suggest that CD spectroscopy is a valuable screening tool for assessing structural changes in hemoglobin, which may help develop therapies to stabilize variant globins.

      In the paper's own words

      “These results reinforce the value of CD as a screening tool for assessing structural perturbations in hemoglobin variants and could inform therapeutic strategies that aim to stabilise variant globins.”

      Page 3

      Found in: Conclusion

      Read it in the full textOpen PDF at page 3 ↗
    • The study was limited by a small number of donors per variant, particularly for HbC, and potential noise from individual variations like glycation. View evidence ↗

      What it means

      The study was limited by a small number of donors per variant, particularly for HbC, and potential noise from individual variations like glycation.

      In the paper's own words

      “A practical limitation of this research is the modest number of donors per variant, especially for HbC (n = 4). Individual-to-individual variation in co-existing modifications — glycation, for instance — could add noise to the CD data.”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗
    • Far-UV CD cannot provide information on tertiary contacts or the heme environment, suggesting a need for near-UV and visible-region CD in future research. View evidence ↗

      What it means

      Far-UV CD cannot provide information on tertiary contacts or the heme environment, suggesting a need for near-UV and visible-region CD in future research.

      In the paper's own words

      “And while far-UV CD is excellent for secondary structure, it says little about tertiary contacts or heme environment changes, which near-UV CD and visible-region CD could address in future work [11, 12].”

      Page 3

      Found in: Discussion

      Read it in the full textOpen PDF at page 3 ↗

Visual summary

2 visuals

Illustrations explain the paper; charts are replotted from the paper's own table values.

Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
α-helix (%): HbA vs HbS vs HbC vs HbE vs HbF
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

α-helix (%): HbA vs HbS vs HbC vs HbE vs HbF

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗
Replotted from source data
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.↗ Enlarge
Tm (°C): HbA vs HbS vs HbC vs HbE vs HbF
Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

Open full-size image ↗

Tm (°C): HbA vs HbS vs HbC vs HbE vs HbF

Replotted from Table 1 (page 2) of the original paper. Every bar is the paper's own table value.

View source evidence ↗

Figures & tables

From the original paper
Secondary structure content and thermal stability of hemoglobin variantsTable 1Page 2Heatmap of secondary structure composition across five hemoglobin variants.Figure 1Page 2Absolute mean residue ellipticity at 208 nm and 222 nm for each hemoglobin variant.Figure 2Page 3
FULL TEXT Original article · reflowed for reading

Introduction

Sickle cell disease and other hemoglobinopathies collectively rank among the most common inherited blood disorders worldwide, with the highest prevalence in sub-Saharan Africa, India, and the Mediterranean basin [1] . Each variant arises from a point mutation in the αor β-globin gene, leading to a single amino acid changeglutamate to valine in HbS, glutamate to lysine in HbC, and glutamate to lysine at a different position in HbE [2] . These substitutions are well described at the genetic level, but how they translate into measurable changes in protein fold and stability isn't fully resolved. Circular dichroism spectroscopy is a powerful and non-destructive technique for probing protein secondary structure in solution. The far-UV region (190-260 nm) is sensitive to peptide bond geometry and can distinguish between α-helix, β-sheet, β-turn, and random coil conformations [3,4] . Applied to hemoglobin, CD can reveal whether a mutation that occurs on the protein surfacefar from the heme pocketstill perturbs the backbone fold. Earlier CD work on HbS and HbA showed small but reproducible drops in helical content for the sickle variant, though the reported magnitude varies between laboratories [5,6] . Comparative data for HbC, HbE, and HbF under identical measurement conditions are harder to find. And few reports combine secondary structure analysis with thermal unfolding experiments to link structural change to stability [7] . This research aimed to fill that gap by recording CD spectra and thermal melting curves for five hemoglobin variants processed and measured under identical conditions.

Theoretical Background

CD measures the differential absorption of left-and right-circularly polarised light by chiral molecules. For proteins, the amide chromophore produces characteristic spectral signatures: α-helices show negative bands near 208 nm (π→π* transition) and 222 nm (n→π* transition), with a positive band around 193 nm [3] . β-sheets exhibit a negative band near 218 nm and a positive band around 195 nm. The mean residue ellipticity (MRE) at 222 nm correlates approximately linearly with helical content, providing a quick estimate even before full deconvolution [4] . Deconvolution algorithms like CONTIN/LL fit the experimental spectrum against a reference dataset of proteins with known crystal structures.

Materials and Methods

Materials and Methods

Materials

Venous blood samples were collected from consenting adult patients at a partner hospital in Bhubaneswar between March and July 2023, following ethical clearance from the Rabindranath Tagore Open University Institutional Ethics Committee (protocol RTOU-IEC-2023-014, approved February 2023). Five hemoglobin variants were targeted: HbA (n = 8 donors), HbS (n = 6), HbC (n = 4), HbE (n = 5), and HbF (n = 4, cord blood from neonates with parental consent). Red blood cells were lysed in hypotonic phosphate buffer (5 mM, pH 7.4), and hemolysates were clarified by centrifugation at 12, 000 × g for 20 min.

Methods

Hemoglobin variants were separated by cation-exchange FPLC (HiTrap SP HP column, Cytiva) using a 10-200 mM phosphate gradient (pH 6.5). Purity was confirmed by cellulose acetate electrophoresis and HPLC on a Bio-Rad D-10 analyser. Purified fractions were dialysed into 10 mM phosphate buffer (pH 7.0) and adjusted to 0.2 mg/mL for CD measurements. Far-UV CD spectra were recorded on a JASCO J-815 spectropolarimeter using a 1 mm path-length quartz cuvette, scanning from 190 to 260 nm at 50 nm/min, with three accumulations per spectrum [8] . Secondary structure fractions were calculated using the CONTIN/LL method in the CDPro software package [9] . Thermal denaturation was monitored at 222 nm from 25 to 90°C at 1°C/min, and melting temperatures (Tm) were extracted from the first derivative of the sigmoidal curve.

Instrumentation

The JASCO J-815 spectropolarimeter was equipped with a Peltier-type temperature controller (PTC-423S) for thermal ramp experiments. Nitrogen gas was flushed at 10 L/min to purge oxygen below 200 nm. Instrument calibration used d-10-camphorsulfonic acid (CSA) standard; the measured MRE at 290.5 nm was within 2% of the expected value. Data were processed in JASCO Spectra Manager software with adaptive smoothing.

Results

All five hemoglobin variants exhibited the characteristic double-minimum CD pattern of α-helical proteins, but with measurable differences in band intensity. HbE showed the lowest α-helical content (66.4%) and the lowest melting temperature (56.8°C). HbA was the most stable, with 74.3% helix and a Tm of 64.7°C (Table 1). The heatmap in Figure 1 makes the helical loss in HbS and HbE visually apparent, with compensating gains in β-sheet and coil fractions. HbE and HbS both showed reduced MRE magnitudes at both wavelengths, confirming the loss of helical secondary structure detected by deconvolution (Figure 2).

Figure 2. Absolute mean residue ellipticity at 208 nm and 222 nm for each hemoglobin variant.
Absolute mean residue ellipticity at 208 nm and 222 nm for each hemoglobin variant.↗ Enlarge
Figure 2
Absolute mean residue ellipticity at 208 nm and 222 nm for each hemoglobin variant.

Absolute mean residue ellipticity at 208 nm and 222 nm for each hemoglobin variant.

Open full-size image ↗
Original paper figureSource PDF · page 3 ↗
Figure 1. Heatmap of secondary structure composition across five hemoglobin variants.
Heatmap of secondary structure composition across five hemoglobin variants.↗ Enlarge
Figure 1
Heatmap of secondary structure composition across five hemoglobin variants.

Heatmap of secondary structure composition across five hemoglobin variants.

Open full-size image ↗
Original paper figureSource PDF · page 2 ↗
Table 1. Secondary structure content and thermal stability of hemoglobin variants
Variantα-helix (%)β-sheet (%)β-turn (%)Coil (%)Tm (°C)
HbA74.34.28.712.864.7
HbS68.17.610.413.958.3
HbC71.85.39.113.861.2
HbE66.48.111.314.256.8
HbF72.94.89.412.963.1

Table text extracted from the original PDF; superscript letters are shown inline. The original table image is below.

View original table image
Secondary structure content and thermal stability of hemoglobin variants↗ Enlarge
Table 1
Secondary structure content and thermal stability of hemoglobin variants

Secondary structure content and thermal stability of hemoglobin variants

Open full-size image ↗
Original paper tableSource PDF · page 2 ↗

Discussion

The 6-8 percentage-point drop in α-helix between HbA and HbE may seem modest, but it corresponds to roughly 10-12 fewer helical residues per subunitenough to alter intersubunit contacts and potentially affect oxygen binding cooperativity [5] . Nagel et al. [6] reported a 5% helical decrease in HbS relative to HbA, which matches our 6.2% difference within experimental uncertainty. The slightly larger disruption in HbE is consistent with its known tendency to form unstable tetramers that are more susceptible to oxidative damage [10] . HbF retained a high helical content (72.9%), only 1.4 percentage points below HbA. This isn't surprising given that the γ-globin chain shares about 73% sequence identity with the β-chain and the substitutions are conservative [2] . The Tm values tracked helical content closely: each 1% drop in α-helix corresponded to roughly a 1°C decrease in melting temperature, though this linear relationship shouldn't be overinterpreted given the small sample of variants.

A practical limitation of this research is the modest number of donors per variant, especially for HbC (n = 4). Individualto-individual variation in co-existing modificationsglycation, for instancecould add noise to the CD data. And while far-UV CD is excellent for secondary structure, it says little about tertiary contacts or heme environment changes, which near-UV CD and visible-region CD could address in future work [11,12] .

Conclusion

CD spectroscopy confirmed that single amino acid substitutions in hemoglobin produce measurable shifts in secondary structure. HbE and HbS exhibited the largest losses in α-helical content and the lowest thermal stability among the five variants examined. HbF closely resembled HbA in both respects. These results reinforce the value of CD as a screening tool for assessing structural perturbations in hemoglobin variants and could inform therapeutic strategies that aim to stabilise variant globins.

Acknowledgement

Acknowledgements Funding SourcesDepartmental research funds from Rabindranath Tagore Open University supported this work. Institutional SupportThe authors thank the biochemistry laboratory staff at RTOU, Bhubaneswar. Contributions Not Qualifying for AuthorshipDr. Priya Mohanty coordinated blood sample collection at the partner hospital.

References

12 in the original paper
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