Evaluation of Major Autohemotherapy (MAH) in Psoriasis Patients Using Serum Inflammatory Markers
Abstract
1. Introduction
2. Materials and Methods
2.1. Patients and Controls Included in the Study
2.2. Inclusion Criteria
- Patients aged 18–60 with a diagnosis of psoriasis who consent to participate in the study and who present to the Dermatology and Venereology Clinic or the Family Medicine Clinic at the Health Application and Research Center of Afyonkarahisar Health Sciences University.
- Healthy individuals aged 18–60 who presented to the Dermatology and Venereal Diseases and Family Medicine clinics, had no systemic diseases, were not taking any medications, and agreed to participate in the study.
2.3. Exclusion Criteria
- Individuals who have received systemic psoriasis treatment within the last 6 months
- Glucose-6-phosphate dehydrogenase deficiency (favism)
- Pregnancy
- Obesity
- Acute alcohol intoxication and alcohol users
- Recent myocardial ischemia
- Hemorrhage in any organ
- Immune system disease
- Hyperthyroidism
- Severe anemia
- Diabetes mellitus
- Severe myasthenia gravis
- Neoplastic
- Liver and kidney disease
- Those who have recently undergone surgery
- Use of diuretics
- Familial hypercholesterolemia
- Hormone replacement therapy
- Ozone allergy
- Those who exercise excessively
- Those who have used vitamins and anti-inflammatory drugs in the last 3 months
2.4. Data Collection, Scales and Tests Used, Major Ozone Autohemotherapy
- PASI = 0.1(Eh + Ih + Dh)Ah + 0.2(Eu + Iu + Du)Au + 0.3(Et + It + Dt)At + 0.4(El + Il + Dl)Al
2.5. Measurement of Serum TNF-α, IL-1β, hs-CRP, Sialic Acid, and Sialic Acid Binding Ig-like Lectin-14 Levels
2.6. Major Ozone Autohemotherapy Application
2.7. Data Analysis
3. Results
4. Discussion
- Biomarkers whose role in the pathogenesis of the disease has not been conclusively proven were evaluated.
- Since psoriasis is an inflammatory process, inflammatory parameters decreased more markedly with MAH application, even if no difference was observed initially.
- The results obtained suggest that the disease is affected not only by inflammation but also by other pathogenic mechanisms.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
Abbreviations
| CRP | C-reactive protein |
| ELISA | Enzyme-linked immunosorbent assay |
| HDL-C | High-density lipoprotein cholesterol |
| Hs-CRP | High-sensitivity C-reactive protein |
| IFN-γ | Interferon gamma |
| IL-1β | Interleukin 1 beta |
| IL-6 | Interleukin 6 |
| IL-17 | Interleukin 17 |
| IL-17A | Interleukin 17A |
| IL-22 | Interleukin 22 |
| IL-23 | Interleukin 23 |
| IQR | Interquartile range |
| MAH | Major autohemotherapy |
| NF-κB | Nuclear factor kappa-light-chain-enhancer of activated B cells |
| Nrf2 | Nuclear factor erythroid 2–related factor 2 |
| OMICS | Global “omics” platforms (genomics, proteomics, metabolomics, etc.) |
| PASI | Psoriasis Area and Severity Index |
| PPAR-γ | Peroxisome proliferator-activated receptor gamma |
| SA | Sialic acid |
| Siglec-14 | Sialic acid-binding immunoglobulin-like lectin 14 |
| SPSS | Statistical Package for the Social Sciences |
| TCA | Tricarboxylic acid cycle |
| Th17 | T helper 17 cells |
| TLR2 | Toll-like receptor 2 |
| TNF-α | Tumor necrosis factor alpha |
| Treg | Regulatory T cells |
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| Categories | Patient (n = 26; %57.8) | Control (n = 19; %42.2) | |||
|---|---|---|---|---|---|
| n | % | n | % | p | |
| Gender | |||||
| Female | 9 | 42.9 | 12 | 57.1 | 0.11 |
| Male | 17 | 70.8 | 7 | 29.2 | |
| Age (years) | |||||
| <40 | 19 | 73.1 | 6 | 31.6 | 0.014 |
| ≥40 | 7 | 26.9 | 13 | 68.4 | |
| Marital status | |||||
| Married | 20 | 76.9 | 13 | 68.4 | 0.767 |
| Single | 6 | 23.1 | 6 | 31.6 | |
| Education | |||||
| ≤High school | 14 | 53.8 | 1 | 5.3 | 0.01 |
| >High school | 12 | 46.2 | 18 | 94.7 | |
| Smoking | |||||
| Yes | 12 | 46.2 | 8 | 42.1 | 1.00 |
| No | 14 | 53.8 | 11 | 57.9 | |
| PASI | |||||
| Mild | 16 | 61.5 | |||
| Moderate/Severe | 10 | 38.5 | |||
| Patient | Control | |||||
|---|---|---|---|---|---|---|
| Median (IQR) | Median (Min–Max) | Median (IQR) | Median (Min–Max) | p * | ||
| TNF-α | ||||||
| First | 59.7 (17.8) | 36.4–452.3 | 73.2 (90.1) | 10.3–439.2 | 0.077 | |
| Last | 54.5 (28.5) | 30.6–417.1 | 75.7 (119.9) | 11.3–466.8 | 0.198 | |
| p ** | 0.304 | 0.243 | ||||
| IL-1β | ||||||
| First | 701.9 (271.20) | 197.4–3763.0 | 1271.0 (1470.8) | 59.8–3376.0 | 0.071 | |
| Last | 685.9 (309.65) | 423.8–3234.0 | 1237.0 (1766.8) | 100.2–3756.0 | 0.020 | |
| p ** | 0.694 | 0.049 | ||||
| Hs-CRP | ||||||
| First | 8.7 (4.2) | 6.1–26.4 | 11.3 (8.5) | 4.9–22.5 | 0.232 | |
| Last | 8.3 (3.4) | 5.7–17.4 | 9.9 (6.0) | 3.0–26.4 | 0.103 | |
| p ** | 0.026 | 0.059 | ||||
| Sialic acid | ||||||
| First | 48.3 (162.1) | 25.6–187.7 | 55.0 (26.0) | 10.9–147.3 | 0.241 | |
| Last | 45.7 (93.0) | 27.5–120.5 | 54.8 (56.2) | 17.3–186.0 | 0.023 | |
| p ** | 0.112 | 0.212 | ||||
| Siglec-14 | ||||||
| First | 653.8 (459.2) | 530.4–3188.0 | 744.4 (461.0) | 484.5–1710.0 | 0.646 | |
| Last | 637.5 (185.3) | 496.3–1575.0 | 729.9 (705.4) | 447.0–3240.0 | 0.015 | |
| p ** | 0.011 | 0.601 | ||||
| PASI Initial | PASI Last | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Mild (n = 16) | Severe (n = 10) | Mild (n = 19) | Severe (n = 7) | ||||||||
| Median (IQR) | Range (Min–Max) | Median (IQR) | Range (Min–Max) | p * | Median (IQR) | Range (Min–Max) | Median (IQR) | Range (Min–Max) | p * | ||
| TNF-α | |||||||||||
| First | 60.6 (36.7) | 43.5–452.3 | 57.4 (24.0) | 36.4–108.0 | 0.370 | 59.9 (15.4) | 37.3–452.3 | 36.4–108.0 | 0.885 | ||
| Last | 54.4 (29.0) | 32.0–417.1 | 53.4 (823.5) | 30.6–126.1 | 0.562 | 53.3 (31.9) | 30.6–417.1 | 36.7–126.1 | 0.751 | ||
| p ** | 0.215 | 0.959 | 0.212 | 1.000 | |||||||
| IL-1β | |||||||||||
| First | 674.4 (260.3) | 418.8–3763.0 | 772.9 (433.9) | 197.4–1806.0 | 0.635 | 671.4 (278.4) | 197.4–3763.0 | 783.7 (367.9) | 468.5–1806.0 | 0.099 | |
| Last | 685.9 (319.8) | 423.8–3234.0 | 692.9 (330.4) | 432.5–1217.0 | 0.874 | 697.8 (305.2) | 423.8–3234.0 | 805.8 (334.5) | 521.5–1217.0 | 0.370 | |
| p ** | 0.877 | 0.575 | 0.841 | 0.237 | |||||||
| Hs-CRP | |||||||||||
| First | 8.6 (7.0) | 6.1–26.4 | 9.2 (4.6) | 6.1–25.4 | 0.673 | 8.5 (2.9) | 6.1–26.3 | 9.07 (12.4) | 6.1–25.4 | 0.665 | |
| Last | 8.1 (3.0) | 5.7–15.1 | 8.3 (9.1) | 6.9–17.4 | 0.155 | 7.97 (2.7) | 5.7–16.8 | 8.6 (8.2) | 6.9–17.4 | 0.099 | |
| p ** | 0.039 | 0.386 | 0.044 | 0.398 | |||||||
| Sialic acid | |||||||||||
| First | 45.3 (48.7) | 25.6–187.7 | 50.9 (39.6) | 34.6–147.9 | 0.370 | 48.3 (30.0) | 25.6–187.7 | 53.1 (92.5) | 34.6–147.9 | 0.236 | |
| Last | 41.3 (15.5) | 27.5–109.9 | 52.3 (35.9) | 37.5–120.5 | 0.051 | 41.5 (19.0) | 27.5–115.4 | 47.4 (14.7) | 38.1–120.5 | 0.214 | |
| p ** | 0.163 | 0.508 | 0.469 | 0.091 | |||||||
| Siglec-14 | |||||||||||
| First | 685.0 (467.8) | 530.4–3188.0 | 643.4 (273.4) | 548.4–1100.0 | 0.370 | 716.1 (468.5) | 530.4–3188.0 | 633.2 (112.0) | 535.7–1100.0 | 0.193 | |
| Last | 644.9 (151.7) | 540.9–1209.0 | 593.5 (328.4) | 496.3–1575.0 | 0.370 | 657.3 (178.5) | 500.0–1575.0 | 546.7 (132.3) | 496.3–1031.0 | 0.053 | |
| p ** | 0.039 | 0.139 | 0.044 | 0.043 | |||||||
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Soylu, S.; Şensoy, N.; Doğan, N.; Koca, H.B.; Köken, T. Evaluation of Major Autohemotherapy (MAH) in Psoriasis Patients Using Serum Inflammatory Markers. J. Clin. Med. 2026, 15, 485. https://doi.org/10.3390/jcm15020485
Soylu S, Şensoy N, Doğan N, Koca HB, Köken T. Evaluation of Major Autohemotherapy (MAH) in Psoriasis Patients Using Serum Inflammatory Markers. Journal of Clinical Medicine. 2026; 15(2):485. https://doi.org/10.3390/jcm15020485
Chicago/Turabian StyleSoylu, Seçil, Nazlı Şensoy, Nurhan Doğan, Halit Buğra Koca, and Tülay Köken. 2026. "Evaluation of Major Autohemotherapy (MAH) in Psoriasis Patients Using Serum Inflammatory Markers" Journal of Clinical Medicine 15, no. 2: 485. https://doi.org/10.3390/jcm15020485
APA StyleSoylu, S., Şensoy, N., Doğan, N., Koca, H. B., & Köken, T. (2026). Evaluation of Major Autohemotherapy (MAH) in Psoriasis Patients Using Serum Inflammatory Markers. Journal of Clinical Medicine, 15(2), 485. https://doi.org/10.3390/jcm15020485

