| Literature DB >> 35204165 |
Elena-Codruța Dobrică1,2, Matei-Alexandru Cozma3,4, Mihnea-Alexandru Găman3,5, Vlad-Mihai Voiculescu2,3, Amelia Maria Găman6,7.
Abstract
Psoriasis is a chronic, immune-mediated inflammatory dermatosis characterized by the appearance of erythematous plaques, covered by white scales, occasionally pruritogenic, and distributed mainly on the extensor areas. Oxidative stress is defined as an imbalance or a transient or chronic increase in the levels of free oxygen/nitrogen radicals, either as a result of the exaggerated elevation in their production or the decrease in their ability to be eliminated by antioxidant systems. Although the pathogenesis of psoriasis remains far from elucidated, there are studies that delineate an involvement of oxidative stress in this skin disorder. Thus, a systematic search was computed in PubMed/Medline, Web of Science and SCOPUS and, in total, 1293 potentially eligible articles exploring this research question were detected. Following the removal of duplicates and the exclusion of irrelevant manuscripts based on the screening of their titles and abstracts (n = 995), 298 original articles were selected for full-text review. Finally, after we applied the exclusion and inclusion criteria, 79 original articles were included in this systematic review. Overall, the data analyzed in this systematic review point out that oxidative stress markers are elevated in psoriasis and share an association with the duration and severity of the disease. The concentrations of these biomarkers are impacted on by anti-psoriasis therapy. In addition, the crosstalk between psoriasis and oxidative stress is influenced by several polymorphisms that arise in genes encoding markers or enzymes related to the redox balance. Although the involvement of oxidative stress in psoriasis remains undisputable, future research is needed to explore the utility of assessing circulating serum, plasma, urinary and/or skin biomarkers of oxidative stress and of studying polymorphisms in genes regulating the redox balance, as well as how can these findings be translated into the management of psoriasis, as well in understanding its pathogenesis and evolution.Entities:
Keywords: antioxidants; inflammation; oxidative stress; psoriasis; reactive oxygen species
Year: 2022 PMID: 35204165 PMCID: PMC8868066 DOI: 10.3390/antiox11020282
Source DB: PubMed Journal: Antioxidants (Basel) ISSN: 2076-3921
Figure 1PRISMA 2009 Flow Diagram. From Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. The Prisma Group. Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Med. 2009, 6, e1000097, doi:10.1371/journal.pmed.1000097. For more information, visit www.prisma-statement.org (accessed on 9 January 2022) [11].
Markers of Oxidative Stress in Patients with Psoriasis.
| Authors and Year | Country | Type of Study | Sample Size (Psoriasis/Controls) | Mean Disease Duration (Years) | Mean Age (Years) | Sample | Measured Parameters | Main Results (Psoriasis Versus Control Group) | |
|---|---|---|---|---|---|---|---|---|---|
| 1. | Kirmit et al. 2020 [ | Turkey | Case–control study | 147 (87/60) | 7 (0–37) | 32.8 ± 15.6 | Venous blood | CRP, CAT, MPO, FOX, IMA | ↑CAT, FOX, IMA ( |
| 2. | Oszukawska et al. 2020 | Poland | Case–control study | 96 (66/30) | 21–73 years | Venous blood | PON-1, alpha-tocopherol, uric acid, homocysteine | ↑Uric acid, homocysteine | |
| 3. | Skutnik-Radziszewska et al. 2020 | Poland | Case–control study | 80 (40/40) | 12.7 ± 9 | 45.6 ± 20.2 | Venous blood, stimulated/unstimulated saliva | Px, CAT, SOD (saliva), TOS, OSI, AGE, AOPP, MDA, LOOH (blood and saliva) | ↑TOS, OSI, AGE, AOPP, MDA, LOOH ( |
| 4. | Kiafar et al. 2020 | Iran | Observational study | 20 (20/0) | - | 38.9 ± 12.6 | Skin biopsy samples | TrxR | ↓TrxR ( |
| 5. | Skoie et al. 2019 | Norway | Case–control study | 168 (84/84) | 14 (8–24) | 45 | Venous blood | AOPP, MDA, CRP | AOPP unmodified |
| 6. | Kizilyel et al. 2019 | Turkey | Case–control study | 95 (50/45) | 8.8 ± 6.9 | 32.5 ± 14.5 | Venous blood | TOS, TAS, MDA, 8H2D | ↑TOS ( |
| 7. | Ergun et al. 2019 | Turkey | Case–control stody | 72 (50/20) | - | - | None (non-invasive measurements) | AGE | ↑AGE ( |
| 8. | Wojcik et al. 2019 | Poland | Case–control study | 48 (32/16) | - | 35 (Ps) | Venous blood | NADPH oxidase, Xanthine oxidase, ROS, CAT, GSH-Px, GSH | ↑NADPH, xanthine oxidase, ROS (PsA > Ps) ( |
| 9. | Esmaeili et al. 2019 | Iran | Case–control study | 20 (10/10) | 18.5 ± 3.1 (mild Ps), | 37 (mild Ps) | Venous blood | GSH, ROS, TAS, FRAP | ↑ROS ( |
| 10. | Elaine Husni et al. 2018 | USA | Cross sectional study | 688 | 15.5 ± 13.2 (Ps), 21.1 ± 14.9 (PsA) | 45.7 ± 15.3 (Ps), 50.4 ± 11.8 (PsA) | Venous blood | PON-1, AS | ↓AS ( |
| 11. | Haberka et al. 2018 | Poland | Case–control study | 119 | 15.3 ± 11.2 | 43 ± 13.5 | Venous blood | Visfatin, | ↑AOPP, visfatin |
| 12. | Ambrozewicz et al. 2018 | Poland | Case–control study | 102 | - | 38.2 | Venous blood | NADPH oxidase, Xanthine oxidase, GSH-Px, GSH-R, SOD, TrxR, GSH, Vitamin C | ↑NADPH oxidase, xanthine oxidase (Ps and PsA), SOD (only in Ps) ( |
| 13. | El-Rifaie et al. 2018 | Egypt | Case–control study | 101 | - | 45.6 ± 15.1 | Venous blood | HO | ↑HO ( |
| 14. | Asha et al. 2017 | India | Case–control study | 300 | - | 39.6 ± 11.9 | Venous blood | OxLDL, GSH, FRAP, MDA | ↑OxLDL, OxLDL/LDL ( |
| 15. | Emre et al. 2017 | Turkey | Case–control study | 166 | - | 36.0 | Venous blood | Native SH, Total SH, SS | ↑Native SH ( |
| 16. | Papagrigoraki et al. 2017 | Italy | Cross sectional study | 160 | - | 48 ± 8 (severe Ps). 47 ± 11 (mild Ps) | Venous blood | AGE(s) | ↑AGE(s) ( |
| 17. | Shahidi-Dadras et al. 2017 | Iran | Case–control study | 80 | 10.1 ± 8.3 | 36.7 ± 14.8 | Venous blood | Cu, Fe, Trf, Cp | ↓Fe, Trf ( |
| 18. | Bakry et al. 2016 | India | Case–control study | 115 | 0.3 ± 0.2 | 39.8 ± 18.1 | Urine | Urinary biopyrrins | ↑Urinary biopyrrins ( |
| 19. | Sunitha et al. 2016 | India | Cross sectional study | 90 | 3.7 ± 5.1 | 44.9 ± 14.3 | Venous blood | AuAb-oxLDL, oxLDL | ↑AuAb-oxLDL, OxLDL ( |
| 20. | Dilek et al. 2016 | Turkey | Case–control study | 75 | - | 36.8 ± 8.2 | Venous blood, skin biopsy samples | iNOS, MPO | ↑MPO ( |
| 21. | Yazici et al. 2016 | Turkey | Case–control study | 43 | 11.4 ± 9.3 | 39.1 ± 12.4 | Venous blood | MPO, PCC, AOPP, LOOH, PP | ↑MPO, PCC, AOPP, LOOH, PP ( |
| 22. | Zhou et al. 2015 | China | Case–control study | 379 (214/165) | - | 41.0 ± 12.6 | Venous blood | TB, CRP | ↓TB ( |
| 23. | Ikonomidis et al. 2015 | Greece | Cross sectional study | 158 | - | 51 ± 12.2 | Venous blood | MDA, IL-6 | ↑MDA, IL-6 ( |
| 24. | Surucu et al. 2015 | Turkey | Case–control study | 87 | 10.1 ± 7.7 | 37.9 ± 10.8 | Venous blood | Prolidase, TOS, TAS, OSI | ↓TAS ( |
| 25. | Chandrashekar et al. 2015 | India | Cross sectional study | 86 | 4.1 ± 4 | 44.6 ± 12.0 | Venous blood | 25-OH-vitD, CRP, IMA | ↓25-OH-vitD ( |
| 26. | Nemati et al. 2014 | Iran | Case–control study | 200 | 4.5 ± 2.4 | 35.7 ± 10 | Venous blood | PON-1, SOD, CAT, MDA | ↓PON-1, SOD, CAT ( |
| 27. | Pujari et al. 2014 | India | Case–control study | 180 | - | 20–60 | Venous blood | MDA, vitamin E, CAT | ↓Vitamin E, CAT ( |
| 28. | Balta et al. 2014 | Turkey | Case–control study | 115 | 7.5 ± 9.1 | 36.8 ± 12.8 | Venous blood | TB, DB, IB, CRP | ↓TB ( |
| 29. | Meki et Shobaili, 2014 | Saudi Arabia | Case–control study | 80 | 10.3 ± 0.9 | 30.2 ± 1.4 | Venous blood | NO | ↑NO ( |
| 30. | He et al. 2014 | China | Cross sectional study | 50 | - | 43.04 ± 11.15 | Venous blood | MDA, PON-1 | ↓PON-1 ( |
| 31. | Kaur et al. 2013 | Estonia | Case–control study | 107 | 18.6 ± 11.0 | 43.2 ± 12.4 | Venous blood | TPX, TAS, OSI, Methylglycoxal | ↓TAS ( |
| 32. | Damasiewicz-Bodzek et Wielkoszynski, 2012 | Poland | Case–control study | 160 | 10.2 ± 8.1 | 37.1 ± 10.8 | Venous blood | AGE, Ab anti CEL, Ab anti CML | ↑AGE, Ab anti CEL, Ab anti CML ( |
| 33. | Emre et al. 2012 | Turkey | Case–control study | 116 | 9.51 ± 7,19 (non-smokers), 9.715 ± 7.84 (smokers) | 39.9 ± 11.1 (non-smokers), 39.6 ± 12.9 (smokers) | Venous blood | TOS, TAS, AS, OSI | ↓TAS ( |
| 34. | Gabr and Al-Ghadir, 2012 | Egypt | Case–control study | 75 | 4.72 ± 1.7 | 29 ± 13.6 | Venous blood | MDA, NO, SOD, CAT, TAS | ↓TAS, SOD, CAT ( |
| 35. | Ozdemir et al. 2012 | Turkey | Case–control study | 52 | 6.6 ± 5.8 | 38.9 ± 11.5 | Venous blood | IMA | ↑IMA ( |
| 36. | Lima et Kimball, 2011 | USA | Cross sectional study | 116 | - | 49.4 | None (non-invasive measurements) | Skin Carotenoid level | ↓Skin carotenoid level ( |
| 37. | Usta et al. 2011 | Turkey | Cross sectional study | 77 | 10 (without MS), 10 (with MS) | - | Venous blood | TAS, TOS, PON-1, AS | ↓PON-1, AS |
| 38. | Ferretti et al. 2011 | Italy | Case–control study | 48 | - | 47.5 ± 13.5 | Venous blood | PON-1, AS, LOOH | ↓PON-1, AS |
| 39. | Sikar Akturk et al. 2011 | Turkey | Case–control study | 46 | - | 42.8 ± 16.5 | Venous blood, skin biopsy samples | NO, MDA | ↑NO, MDA ( |
| 40. | Basavaraj et al. 2011 | India | Case–control study | 40 | - | 25–45 | Venous blood | 8-OHdG, | ↑8-OHdG ( |
| 41. | Kadam et al. 2010 | India | Case–control study | 120 | - | - | Venous blood | MDA, NO, SOD, CAT, TAS | ↓TAS, SOD, CAT ( |
| 42. | Abeyakirthi et al. 2010 | Scotland | Case–control study | 16 | - | 21–50 | Skin tape strips | Ornithine, Arginine | ↑Ornithine ( |
| 43. | Hashemi et al. 2009 | Iran | Case–control study | 86 | - | 30.6 (8–80) | Venous blood | ADA, s-TIC, TAS | ↓TAS ( |
| 44. | Nakai et al. 2009 | Japan | Case–control study | 70 (49 (29 Ps, 21 AD)/20) | - | 55 (21–76) | Urine | Nitrate, 8-OHdG, MDA | ↑Nitrate ( |
| 45. | Toker et al. 2009 | Turkey | Case–control study | 53 (30/23) | 7.2 | 30.4 ± 10.6 | Venous blood | MDA, TAS, PON-1, AS | ↑PON-1, sodium stimulated PON-1 ( |
| 46. | Kaur et al. 2008 | Estonia | Case–control study | 44 (22/22) | - | 48 | Venous blood | Adiponectin, GSH, GSSG | ↑GSSG/GSH |
| 47. | Tekin et al. 2007 | Turkey | Case–control study | 124 (84/40) | - | 39 (17–58) | Skin biopsy samples | Ox-LDL | ↑Ox-LDL |
| 48. | Karaman et al. 2007 | Turkey | Case–control study | 66 (36/30) | 7.08 ± 4.52 | 39.3 ± 13.4 | Venous blood | SOD, GSH-Px(e), CAT | ↓SOD ( |
| 49. | Rocha-Pereira et al. 2004 | Portugal | Case–control study | 100 (60/40) | 0.5–50 | 46 ± 12 | Venous blood | TBA, TAS, Transferrin, Ceruloplasmin, CRP | ↓TAS ( |
| 50. | Kural et al. 2003 | Turkey | Case–control study | 70 (35/35) | - | 27–43 | Venous blood | AuAb-oxLDL, CRP, MDA, LOOH, TAS, SOD, GSH-Px, GSH-R, CAT | ↓CAT(e)( |
| 51. | Baz et al. 2003 | Turkey | Case–control study | 59 (35/24) | 7.83 ± 8.14 | 42.5 ± 13.7 | Venous blood | MDA, SOD, TAS | ↓TAS ( |
| 52. | Yldirim et al. 2003 | Turkey | Case–control study | 44 (22/22) | 10 | 37 | Venous blood, skin biopsy samples | SOD(e), GSH-Px(e), CAT(p), MDA(p and skin) | ↓SOD (e) ( |
| 53. | Relhan et al. 2002 | India | Case–control study | 80 (40/40) | 5.6 | - | Venous blood | MDA, Thiols | ↓Thiols ( |
CRP—C-reactive protein, CAT—catalase, MPO—myeloperoxidase, FOX—ferroxidase, IMA—ischemia modified albumin, PON-1—paraoxonase 1, TOS—total oxidant status, TAS—total antioxidant status, MDA—malondialdehyde, 8H2D—8-hydroxy 2′-deoxyguanosine, AOPP—advanced oxidation protein products, NADPH oxidase—nicotinamide adenine dinucleotide phosphate, ROS—reactive oxygen species, GSH-Px—glutathione peroxidase, GSH—glutathione, TrxR—thioredoxin reductase, FRAP—ferric reducing ability of plasma, AS—arylesterase, OSI—oxidative stress index, Px—salivary peroxidase, SOD—superoxide dismutase, AGE—advanced glycation end-products, LOOH—lipid hydroperoxides, OxLDL—oxidized low-density lipoproteins, NO—nitric oxide, 8-OHdG—8-hydroxy guanosine, iNOS—inducible nitric oxide, GSH-R—glutathione reductase, MS—metabolic syndrome, 25-OH-vitD—25-hydroxy-vitamin D, ADA—adenosine deaminase, s-TIC—serum trypsin inhibitory capacity, TBA—thiobarbituric acid, AD—atopic dermatitis, TPX—total peroxide concentration, PCC—protein carbonyl compounds, PP—pyrrolized protein, GSSG—oxidized glutathione, HO—hemoxygenase, TB—total bilirubin, DB—direct bilirubin, IB—indirect bilirubin, Cu—copper, Fe—iron, Trf—transferrin, Cp—ceruloplasmin, AuAb-oxLDL—autoantibodies anti-oxidized LDL, SH—thiol, SS—disulfide, CAD—coronary artery disease, IL-6—interleukin-6, Ab anti-CEL—anti-carboxyethyllysine antibodies, Ab anti CML—anti-carbocymethyllysine antibodies. e—erythrocyte, p—plasma, s—skin. ↑, increased. ↓, decreased.
Polymorphisms of Genes Encoding Markers or Enzymes of Oxidative Stress in Psoriasis.
| Author/Year | Country | Sample (Psoriasis/Controls) | Mean Age of the Group (Years) | Disease Duration (Years) | Samples | Biomarkers Assessed | Genetic Polymorphisms | Results |
|---|---|---|---|---|---|---|---|---|
| Hernandez-Collazo et al. 2020 | Mexico | 228 (104/124) | 48.1 ± 16.0 | 10 ± 1.7 | Venous blood | TC, TG, LDL, HDL, VLDL, AI | PON-1 rs662 (A>G) and rs854560 (A>G) | ↓PON-1 and AS activity |
| Guarneri et al. 2019 | Italy | 296 | 53.7 ± 14.9 | - | Bucal swabs samples | GST | GSTM1/GSTT1 | GSTT1 null (OR = 3.73) and GSTM1/GSTT1 “double null” (OR = 5.94) |
| Solak et al. 2016 | Turkey | 207 (105/102) | 44.5 ± 13.2 | - | Venous blood | GSTT1, GSTM1 | GST | ↑GSTT1 similar in psoriasis and controls, but more frequent in the former ( |
| Chang et al. 2015 | Taiwan | 792 (280/512) | 48 ± 17 | - | Buccal swabs, venous blood | iNOS | (CCTTT) n pentanucleotide | Psoriasis less likely in LL genotype carriers versus non-carriers ( |
| Asefi et al. 2014 | Iran | 200 (100/100) | 35.3 ± 10.9 | 10.2 ± 5.8 | Blood | MDA, lipids, apolipoproteins | MTHFR 677-T | Dominant/recessive model (CC + CT/TT) and T allele of MTHFR-677 alleles increased risk of psoriasis (7.45 and 1.76 times) |
| Asefi et al. 2012 | Iran | 200 (100/100) | 35.3 ± 10.9 | - | Venous blood | AS, MDA, APOB ⁄APOA1, APOB, LP(a) | PON-1 55 Met | PON-1 55 M allele—associated with |
| Schnorr et al. 2005 | Germany | 20 (10/10) | 47 ± 12 | - | Skin biopsy samples | - | CATs (CAT-1, CAT-2A, CAT-2B) | CAT-1: upregulated in psoriasis ( |
| Vašků et al. 2002 | Czech Republic | 272 (130/142) | 44 ± 15 years | - | Venous blood | RAGE | G82S, 1704G/T, 2184A/G, 2245G/A | 2184A/G allele: more frequent in psoriasis ( |
Legend: GST/GSH—glutathione S-transferases; PON-1—paraoxonase 1; MDA—malondialdehyde; AS—arylesterase; APOB—apolipoprotein B; APOA1—apolipoprotein A1; MTHFR—methylentetrahydrofolatereductase, VAP-1—vascular adhesion protein-1; CAT—catalase; SOD1- superoxide dismutase 1; SOD2—superoxide dismutase 2; NFE2L2—nuclear factor, erythroid 2 like 2; CYBB—cytochrome b-245 beta chain; SO—superoxide; IL-17—interleukin-17; TAC—total antioxidant capacity; LP(a)—lipoprotein-a; TC—total cholesterol; LDL—low-density lipoprotein; HDL—high-density lipoprotein; CVD—cardiovascular disease TG—Triglycerides; VLDL—very low-density lipoprotein; AI—atherogenic index (TC/HDL-C ratio); iNOS—inducible nitric oxide synthase; TNF-α—tumor necrosis factor-α; IL-10—interleukin-10; N-AT—N-acetyltransferase; eNOS—endothelial nitric oxide synthase; CATs—cationic amino acid transporters, RAGE—receptor for advanced glycation end-products, GST—glutathione S-transferase. ↑, increased. ↓, decreased.
The effect of anti-psoriasis therapy on oxidative stress markers.
| Author/Year | Country | Intervention | Treatment Duration | Measured Parameters | Samples | Study Group (Psoriasis/Controls) | Mean Age of Patients | Effect on the Measured Parameters | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Akbulak et al. 2017 | Turkey | MTX 10–15 mg/week | ≥12 weeks | expression of GST and CYP enzymes | Skin biopsy samples | 43 (21/22) | 42.5 ± 10.9 | ↑GSTK1, GSTM1, GSTT1, CYP1B1, CYP2E1: in the psoriasis tissues ( |
| 2 | Elango et al. 2013 | India | MTX | 12 weeks | ROS, MDA, nitrate, | Venous blood, skin biopsy samples | 103 (58/45) | 46.4 ± 14.1 | ↑ROS (lesional skin), MDA (serum) |
| 3 | Kılıc et al. 2013 | Turkey | MTX | 8 weeks | TAS, TOS, OSI, PON-1 | Venous blood | 26 (26/0) | 45.3 ± 11.7 | No significant differences pre and post-treatment |
| 4 | Tekin et al. 2006 | Turkey | MTX 20 mg/week | Until the disappearance of the lesions | Nitrite-nitrate | Venous blood | 43 (22/21) | 35.0 ± 11.8 | ↓Nitrite-nitrate ( |
| 5 | Darlenski et al. 2021 | Bulgaria | NB-UVB 311 nm | 10 sessions | PASI, DLQI, skin carotenoid levels | Non-invasive | 29 (20/9) | 48.9 | ↓PASI, DLQI ( |
| 6 | Darlenski et al. 2018 | Bulgaria | NB-UVB 311 nm | 14 sessions | MDA, ROS, Asc, CAT | Venous blood | 47 (22/25) | 50.9 | ↓ROS, Asc, MDA, CAT ( |
| 7 | Wacewicz et al. 2017 | Poland | NB-UVB | 20 sessions | Se, Zn, Cu, Cu/Zn, CRP, TAS | Venous blood | 118 (60/58) | 41.2 ± 12.5 | ↓Se and TAS ( |
| 8 | Karadag et al. 2016 | Turkey | NB-UVB 311 nm | 20–36 sessions | GST, CYP | Skin | 54 (32/22) | 37.2 ± 14.8 | GST1K1, GST1M1, GST1O1, GST1T1, |
| 9 | Pektas et al. 2013 | Turkey | NB-UVB 310–315 nm | 30 sessions | hsCRP, TAS, TOS, OSI, PON-1, ARE | Venous blood | 24 (24/0) | 37.9 ± 12.3 | ↓PASI ( |
| 10 | Coimbra et al. 2012 | Portugal | NB-UVB: 17 pts; PUVA: 20 pts; calcipotriol: 10 pts | 12 weeks | TB, MBH, MPB3, TAS, TBA, elastase, lactoferrin, CRP | Venous blood | 113 (73/40) | 45 ± 15 | PUVA: ↓leukocytes, neutrophils, elastase, lactoferrin, CRP, TBA, TBA/TAS |
| 11 | Karaarslan et al. 2006 | Turkey | BB-UVB | 21 weeks | TBARS, | Venous blood | 52 (32/20) | 42.0 ± 11.1 | ↑TBARS ( |
| 12 | Barygina et al. 2013 | Italy | infliximab 5 mg/kg every 8 weeks | 6 months | ROS, GSH, NADPH oxidase, PCO, MDA, TAS, TBARS (lipid peroxidation) | Venous blood | 47 (29/18) | 47 ± 8 | ↓PCO, TBARS, TBARS, ROS ( |
| 13 | Wolk et al. 2017 | USA | tofacitinib 5 mg/10 mg twice daily | 16 weeks | HDL, LDL, PON-1, LCAT, SA-A, hsCRP | Venous blood | 161 (70 tofacitinib 5 mg, 71 tofacitinib 10 mg, 50 placebo) | 42.3–50.9 | ↑LDL, HDL ( |
| 14 | Pastore et al. 2011 | Italy | efalizumab 1 mg/kg/week | 12 | Nitrites-nitrates, MDA, TBARS, SOD, Cu, Zn, GST, CAT, acrolein-protein adducts, 9.4-HNE, SF, GF, PUFA. | Venous blood | 50 (26/24) | 42.9 | pro-inflammatory cytokines, PUFAs esterified in phospholipids of RBC membranes were not affected. |
| 15 | Campanati et al. 2012 | Italy | etanercept or adalimumab | 12 weeks | iNOS, TNF-alpha, VEGF, NO, SOD, CAT, GST, GSH | Skin biopsy samples | 12 (6/6) | 51 ± 5.8 and 52 ± 6.9 | ↓VEGF ( |
Legend: MTX—Methotrexate; ROS—reactive oxygen species; MDA—malondialdehyde; SOD—superoxide dismutase; CAT—catalase; TAS—total antioxidant status; Asc—ascorbyl radicals; PASI—psoriasis area and severity index, DLQI—dermatology life quality index; NB-UVB—narrow band ultraviolet B; TAC—total antioxidant capacity; WBC—white blood cells, PCO—protein carbonyl content; GSH—glutathione content; TBARS—thiobarbituric acid reactive substances; hsCRP—high sensitive C-reactive protein; TOS—total oxidant status; OSI—oxidative stress index; PON-1—serum paraoxonase-1; AS—arylesterase; TC—total cholesterol; LDL—low-density lipoprotein; HDL—high-density lipoprotein; ALT—alanine aminotransferase; TSH—thyroid-stimulating hormone; FAE—fumaric acid esters; GSTs—Glutathione S-transferases; AE—adverse effects, CRP—c-reactive protein, Cu—copper, Se—selenium, Zn—zinc, CBD—cannabidiol, GT—Goeckerman therapy (combined exposure of 3% crude coal tar ointment and UV radiation), BPDE—benzo[a]pyrene-7,8-diol-9,10-epoxide, BB-UVB—broad-band ultraviolet B, TBARS—thiobarbituric acid reactive substance, 4-HNE—4-hydroxy nonenal-protein, SF—stimulating factors, GF—growth factors, PUFA—polyunsaturated fatty acids, GPx—glutathione, peroxidase, l-NMMA—NG-monomethyl-l-arginine, PUVA—psoralen plus UVA, TBA—thiobarbituric acid, CRP—C-reactive protein, MBH—membrane-bound hemoglobin, TB—total bilirubin, MPB3—membrane protein band 3, MCV—mean cell volume, MCH—mean cell hemoglobin, LCAT—lecithin-cholesterol acyltransferase, SA-A—serum amyloid A, CYP—cytochrome p450, 8H2DG—8-hydroxy-2′-deoxyguanosine, 8HG—8-hydroxyguanosine, 8HGN—8-hydroxyguanine. ↑, increased. ↓, decreased.
Figure 2Oxidative stress in the psoriasis evolution. Oxidative stress plays an important role in the initiation and evolution of psoriasis and its associated-comorbidities/complications (cardiovascular diseases, psoriasis arthritis and autoimmune diseases. These complications are generated by the chronic action of ROS and RNS on the main cell constituents (lipids, proteins and carbohydrates), with a secondary activation of molecular pathways (Nrf2, NF-kB) responsible for inducing synthesis of antioxidant molecules (Nrf2) or pro-oxidant enzymes (NF-kB). ROS—reactive oxygen species; RNS—reactive nitrogen species; Nrf2—nuclear erythroid factor 2-related factor 2; NF-kB—nuclear factor kappa light chain enhancer of activated B cells; PUFAs—polyunsaturated fatty acids; AGE—advanced glycation end-products; PCO—protein carbonyl content.