New Regenerative and Anti-Aging Medicine Approach Based on Single-Stranded Alpha-1 Collagen for Neo-Collagenesis Induction: Clinical and Instrumental Experience of a New Injective Polycomponent Formulation for Dermal Regeneration
<p>Box plot graphs for “normal group” (non-smoker patients) showing the values of skin wrinkle depth using 1 mm filter in the three anatomical areas examined (cheek—eye—neck) and how they change over time from baseline (T0) to last follow-up (T2).</p> "> Figure 2
<p>Box plot graphs for “smoker group” (smoker patients) showing the values of skin wrinkle depth using 1 mm filter in the three anatomical areas examined (cheek—eye—neck) and how they change over time from baseline (T0) to last follow-up (T2).</p> "> Figure 3
<p>Box plot graphs for “acne group” (patients with acne scars) showing the values of skin examined in cheek area only, where scars were much more evident, using 1 mm filter, and how they changed over time from baseline (T0) to last follow-up (T2).</p> "> Figure 4
<p>Example of automatic Antera 3D matching algorithm for finding the exact position during different measurements. Picture taken from cheek area (cheek). A 2.2 cm circle has been used for each measurement. Baseline and T2 pictures are shown.</p> "> Figure 5
<p>Picture taken from periocular area (eye). A 2.2 cm circle has been used for each measurement. Baseline and T2 pictures are shown.</p> "> Figure 6
<p>Picture taken from neck area (neck). A 2.2 cm circle has been used for each measurement. Baseline and T2 pictures are shown.</p> "> Figure 7
<p>Picture taken from cheek area in a patient with acne scars. A 2.2 cm circle has been used for each measurement. Baseline and T2 pictures are shown.</p> ">
Abstract
:1. Introduction
2. Materials and Methods
2.1. Inclusion Criteria
2.2. Exclusion Criteria
2.3. Patient Selection and Study Design
2.4. Evaluation
2.5. Injection Technique
2.6. Statistical Analysis
3. Results
4. Discussion
5. Conclusions
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Descriptive Statistics | |||||||
---|---|---|---|---|---|---|---|
Number of Patients | Female | Male | Age Minimum | Age Maximum | Mean | Std. Deviation | |
Normal group | 50 | 42 | 8 | 30 | 70 | 49.76 | 10.916 |
Smoker group | 20 | 18 | 2 | 31 | 70 | 52.5 | 13.233 |
Acne group | 30 | 27 | 3 | 27 | 48 | 40.17 | 4.92 |
SGAIS SCALE | ||
---|---|---|
Rating | Description | |
5 | very much improved | optimal cosmetic result |
4 | much improved | marked improvement in appearance from the initial condition, but not optimal for the patient. A touch up would slightly improve the result |
3 | improved | obvious improvement in appearance from the initial condition, but a touch up or retreatment is indicated |
2 | no change | the appearance is essentially the same as the original condition |
1 | worse | the appearance is worse than the original condition |
Friedman Test Wrinkle Depth | ||||||
---|---|---|---|---|---|---|
Normal Group | Smoker Group | Acne Group | ||||
χ Square | Sig. (2-Tailed) | χ Square | Sig. (2-Tailed) | χ Square | Sig. (2-Tailed) | |
CHEEK wrinkle depth (1 mm filter) | 20.28 | 0.000 | 30.9 | 0.000 | 43.46 | 0.000 |
CHEEK wrinkle depth (2 mm filter) | 36.48 | 0.000 | 40 | 0.000 | 56.26 | 0.000 |
CHEEK wrinkle depth (4 mm filter) | 38.92 | 0.000 | 36.1 | 0.000 | 39.26 | 0.000 |
EYE wrinkle depth (1 mm filter) | 43.72 | 0.000 | 31.6 | 0.000 | ||
EYE wrinkle depth (2 mm filter) | 20.52 | 0.000 | 30.1 | 0.000 | ||
EYE wrinkle depth (4 mm filter) | 17.76 | 0.000 | 12.7 | 0.002 | ||
NECK wrinkle depth (1 mm filter) | 6.76 | 0.034 | 40 | 0.000 | ||
NECK wrinkle depth (2 mm filter) | 0.52 | 0.771 | 18.1 | 0.000 | ||
NECK wrinkle depth (4 mm filter) | 9.64 | 0.000 | 40 | 0.000 |
Friedman Test Hemoglobin Values (Antera 3D Scanner) | ||||||
---|---|---|---|---|---|---|
Normal Group | Smoker Group | Acne Group | ||||
χ Square | Sig. (2-Tailed) | χ Square | Sig. (2-Tailed) | χ Square | Sig. (2-Tailed) | |
CHEEK wrinkle depth (1 mm filter) | 0.579 | 0.749 | 34.9 | 0.000 | 46.33 | 0.000 |
EYE wrinkle depth (1 mm filter) | 4.318 | 0.115 | 25.139 | 0.000 | ||
NECK wrinkle depth (1 mm filter) | 4.404 | 0.111 | 21 | 0.000 | ||
Friedman Test Hemoglobin Values (Antera 3D Scanner) | ||||||
Normal Group | Smoker Group | Acne Group | ||||
χ Square | Sig. (2-tailed) | χ Square | Sig. (2-tailed) | χ Square | Sig. (2-tailed) | |
CHEEK wrinkle depth (1 mm filter) | 24.121 | 0.000 | 37.696 | 0.000 | 10.41 | 0.005 |
EYE wrinkle depth (1 mm filter) | 29.249 | 0.000 | 34.9 | 0.000 | ||
NECK wrinkle depth (1 mm filter) | 3.146 | 0.207 | 8.532 | 0.014 |
Correlations between WRINKLE DEPTH Versus AGE | ||||||||||
---|---|---|---|---|---|---|---|---|---|---|
NORMAL GROUP | SMOKER GROUP | ACNE GROUP | ||||||||
T0 | T1 | T2 | T0 | T1 | T2 | T0 | T1 | T2 | ||
CHEEK wrinkle depth (1 mm filter) versus patient’s age | Sig. (2-tailed) | 0.43 | 0.343 | 0.763 | 0.142 | 0.453 | 0.282 | 0.223 | 0.223 | 0.259 |
CHEEK wrinkle depth (2 mm filter) versus patient’s age | Sig. (2-tailed) | 0.314 | 0.744 | 0.352 | 0.535 | 0.378 | 0.282 | 0.267 | 0.223 | 0.816 |
CHEEK wrinkle depth (4 mm filter) versus patient’s age | Sig. (2-tailed) | 0.156 | 0.551 | 0.821 | 0.672 | 0.819 | 0.282 | 0.223 | 0.223 | 0.259 |
EYE wrinkle depth (1 mm filter) versus patient’s age | Sig. (2-tailed) | 0.731 | 0.591 | 0.92 | 0.073 | 0.453 | 0.282 | |||
EYE wrinkle depth (2 mm filter) versus patient’s age | Sig. (2-tailed) | 0.86 | 0.172 | 0.352 | 0.181 | 0.063 | 0.282 | |||
EYE wrinkle depth (4 mm filter) versus patient’s age | Sig. (2-tailed) | 0.953 | 0.388 | 0.821 | 0.064 | 0.378 | 0.282 | |||
NECK wrinkle depth (1 mm filter) versus patient’s age | Sig. (2-tailed) | 0.687 | 0.663 | 0.586 | 0.063 | 0.063 | 0.282 | |||
NECK wrinkle depth (2 mm filter) versus patient’s age | Sig. (2-tailed) | 0.123 | 0.7 | 0.953 | 0.579 | 0.819 | 0.282 | |||
NECK wrinkle depth (4 mm filter) versus patient’s age | Sig. (2-tailed) | 0.214 | 0.063 | 0.563 | 0.214 | 0.033 | 0.563 | |||
Correlations between MELANIN QUATITY Versus AGE | ||||||||||
NORMAL GROUP | SMOKER GROUP | ACNE GROUP | ||||||||
T0 | T1 | T2 | T0 | T1 | T2 | T0 | T1 | T2 | ||
CHEEK melanin quantity versus patient’s age | Sig. (2-tailed) | 0.192 | 0.207 | 0.33 | 0.26 | 0.057 | 0.409 | 0.23 | 0.355 | 0.986 |
EYE melanin quantity versus patient’s age | Sig. (2-tailed) | 0.906 | 0.078 | 0.833 | 0.647 | 0.646 | 0.298 | |||
NECK melanin quantity versus patient’s age | Sig. (2-tailed) | 0.226 | 0.699 | 0.524 | 0.647 | 0.109 | 0.295 | |||
Correlations between HEMOGLOBIN QUANTITY Versus AGE | ||||||||||
NORMAL GROUP | SMOKER GROUP | ACNE GROUP | ||||||||
T0 | T1 | T2 | T0 | T1 | T2 | T0 | T1 | T2 | ||
CHEEK melanin quantity versus patient’s age | Sig. (2-tailed) | 0.597 | 0.109 | 0.627 | 0.101 | 0.252 | 0.28 | 0.654 | 0.37 | 0.691 |
EYE melanin quantity versus patient’s age | Sig. (2-tailed) | 0.43 | 0.374 | 0.614 | 0.06 | 0.591 | 0.326 | |||
NECK melanin quantity versus patient’s age | Sig. (2-tailed) | 0.358 | 0.393 | 0.31 | 0.073 | 0.102 | 0.31 |
Face Q Questionnaire Results | |||
---|---|---|---|
Normal Group | |||
Number of Patients | Chi-Square | Asymp. Sig | |
Aging appraisal questions | 50 | 40.968 | 0.000 |
Facial appearance questions | 50 | 70.235 | 0.000 |
Appraisal lines overall questions | 50 | 47.582 | 0.000 |
Appraisal neck questions | 50 | 48.042 | 0.000 |
Skin quality questions | 50 | 49.834 | 0.000 |
Smokers Group | |||
Aging appraisal questions | 20 | 13.13 | 0.001 |
Facial appearance questions | 20 | 27.103 | 0.000 |
Appraisal lines overall questions | 20 | 28.43 | 0.000 |
Appraisal neck questions | 20 | 15.233 | 0.000 |
Skin quality questions | 20 | 13.899 | 0.001 |
Acne Group | |||
Aging appraisal questions | 30 | 24.122 | 0.000 |
Facial appearance questions | 30 | 36.735 | 0.000 |
Appraisal lines overall questions | 30 | 27.291 | 0.000 |
Appraisal neck questions | 30 | 36.439 | 0.000 |
Skin quality questions | 30 | 32.739 | 0.000 |
Wilcoxon Signed-Rank Test SGAIS QUESTIONNAIRE | ||||||
---|---|---|---|---|---|---|
NORMAL GROUP | SMOKER GROUP | ACNE GROUP | ||||
Wilcoxon Signed-Rank Test | Z | Asymp. Sig. (2-Tailed) | Z | Asymp. Sig. (2-Tailed) | Z | Asymp. Sig. (2-Tailed) |
−3.186 | 0.001 | −2.111 b | 0.035 | −4.244 b | 0.000 | |
NORMAL GROUP | SMOKER GROUP | ACNE GROUP | ||||
T1 | T2 | T1 | T2 | T1 | T2 | |
Very Much Improved | 16% | 18% | 15% | 25% | 0% | 10% |
Much Improved | 12% | 25% | 10% | 20% | 0% | 60% |
Improved | 70% | 32% | 70% | 55% | 76.6% | 30% |
No Change | 2% | 0% | 5% | 0% | 23.3% | 0% |
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Di Rosa, L.; De Pasquale, A.; Baldassano, S.; Marguglio, N.; Drid, P.; Proia, P.; Vasto, S. New Regenerative and Anti-Aging Medicine Approach Based on Single-Stranded Alpha-1 Collagen for Neo-Collagenesis Induction: Clinical and Instrumental Experience of a New Injective Polycomponent Formulation for Dermal Regeneration. Biomedicines 2024, 12, 916. https://doi.org/10.3390/biomedicines12040916
Di Rosa L, De Pasquale A, Baldassano S, Marguglio N, Drid P, Proia P, Vasto S. New Regenerative and Anti-Aging Medicine Approach Based on Single-Stranded Alpha-1 Collagen for Neo-Collagenesis Induction: Clinical and Instrumental Experience of a New Injective Polycomponent Formulation for Dermal Regeneration. Biomedicines. 2024; 12(4):916. https://doi.org/10.3390/biomedicines12040916
Chicago/Turabian StyleDi Rosa, Luigi, Antonino De Pasquale, Sara Baldassano, Noemi Marguglio, Patrik Drid, Patrizia Proia, and Sonya Vasto. 2024. "New Regenerative and Anti-Aging Medicine Approach Based on Single-Stranded Alpha-1 Collagen for Neo-Collagenesis Induction: Clinical and Instrumental Experience of a New Injective Polycomponent Formulation for Dermal Regeneration" Biomedicines 12, no. 4: 916. https://doi.org/10.3390/biomedicines12040916
APA StyleDi Rosa, L., De Pasquale, A., Baldassano, S., Marguglio, N., Drid, P., Proia, P., & Vasto, S. (2024). New Regenerative and Anti-Aging Medicine Approach Based on Single-Stranded Alpha-1 Collagen for Neo-Collagenesis Induction: Clinical and Instrumental Experience of a New Injective Polycomponent Formulation for Dermal Regeneration. Biomedicines, 12(4), 916. https://doi.org/10.3390/biomedicines12040916