Potential biomarkers of atopic dermatitis
Atopic dermatitis (AD) is a chronic, recurrent inflammatory skin disease with a wide range of heterogeneity. Accurate biomarkers or predictors are the keys to instructing personalized tailored precise treatment. The development of technology such as transcriptomics, genomics, and proteomics provides...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-11-01
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| Series: | Frontiers in Medicine |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/fmed.2022.1028694/full |
| _version_ | 1828290303312789504 |
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| author | Ling Yu Ling Yu Ling Yu Linfeng Li |
| author_facet | Ling Yu Ling Yu Ling Yu Linfeng Li |
| author_sort | Ling Yu |
| collection | DOAJ |
| description | Atopic dermatitis (AD) is a chronic, recurrent inflammatory skin disease with a wide range of heterogeneity. Accurate biomarkers or predictors are the keys to instructing personalized tailored precise treatment. The development of technology such as transcriptomics, genomics, and proteomics provides novel insights into the possibility to find potential biomarkers. Meanwhile, emerging minimally invasive methods such as tape stripping were used to reveal different profiles of patients’ skin without biopsy. Several potential biomarkers or predictors have been found. In this review, we summarized the current development of potential biomarkers of AD. Nitric oxide synthase 2/inducible nitric oxide synthase (NOS2/iNOS), human beta-defensin-2 (hBD-2), and matrix metalloproteinases 8/9 (MMP8/9) may be the candidate biomarkers for AD diagnosis. Filaggrin (FLG) gene mutation increased the occurrence risk of AD. Fatty-acid-binding protein 5 (FABP5) may serve as an effective biomarker for the atopic march (AM). Squamous cell carcinoma antigen 2 (SCCA2), serum thymus and activation-regulated chemokine (TARC), cutaneous T-cell-attracting chemokine (CTACK), eosinophil-derived neurotoxin (EDN), macrophage-derived chemokine (MDC), lactate dehydrogenase (LDH), and interleukin (IL)-18 can be the candidate biomarkers for disease severity monitoring. IL-17, IL-23, IL-33, and indoleamine 2,3-dioxygenase (IDO1) can be used as predictive biomarkers for AD comorbidities. LDH, TARC, pulmonary and activation-regulated chemokine (PARC), periostin, IL-22, eotaxin-1/3, and IL-8 may be the candidate biomarkers for monitoring treatment effects. There are still unmet needs and a long way to go for more convenient, non-invasive, and effective predictors and biomarkers to better guide personalized precise treatment. |
| first_indexed | 2024-04-13T10:34:41Z |
| format | Article |
| id | doaj.art-63c076bdaf4e47afbc376a6ccccae5e3 |
| institution | Directory Open Access Journal |
| issn | 2296-858X |
| language | English |
| last_indexed | 2024-04-13T10:34:41Z |
| publishDate | 2022-11-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Medicine |
| spelling | doaj.art-63c076bdaf4e47afbc376a6ccccae5e32022-12-22T02:50:05ZengFrontiers Media S.A.Frontiers in Medicine2296-858X2022-11-01910.3389/fmed.2022.10286941028694Potential biomarkers of atopic dermatitisLing Yu0Ling Yu1Ling Yu2Linfeng Li3Department of Dermatology, Beijing Friendship Hospital, Capital Medical University, Beijing, ChinaDepartment of Dermatology, Henan Provincial People’s Hospital, Zhengzhou, ChinaDepartment of Dermatology, Zhengzhou University People’s Hospital, Zhengzhou, ChinaDepartment of Dermatology, Beijing Friendship Hospital, Capital Medical University, Beijing, ChinaAtopic dermatitis (AD) is a chronic, recurrent inflammatory skin disease with a wide range of heterogeneity. Accurate biomarkers or predictors are the keys to instructing personalized tailored precise treatment. The development of technology such as transcriptomics, genomics, and proteomics provides novel insights into the possibility to find potential biomarkers. Meanwhile, emerging minimally invasive methods such as tape stripping were used to reveal different profiles of patients’ skin without biopsy. Several potential biomarkers or predictors have been found. In this review, we summarized the current development of potential biomarkers of AD. Nitric oxide synthase 2/inducible nitric oxide synthase (NOS2/iNOS), human beta-defensin-2 (hBD-2), and matrix metalloproteinases 8/9 (MMP8/9) may be the candidate biomarkers for AD diagnosis. Filaggrin (FLG) gene mutation increased the occurrence risk of AD. Fatty-acid-binding protein 5 (FABP5) may serve as an effective biomarker for the atopic march (AM). Squamous cell carcinoma antigen 2 (SCCA2), serum thymus and activation-regulated chemokine (TARC), cutaneous T-cell-attracting chemokine (CTACK), eosinophil-derived neurotoxin (EDN), macrophage-derived chemokine (MDC), lactate dehydrogenase (LDH), and interleukin (IL)-18 can be the candidate biomarkers for disease severity monitoring. IL-17, IL-23, IL-33, and indoleamine 2,3-dioxygenase (IDO1) can be used as predictive biomarkers for AD comorbidities. LDH, TARC, pulmonary and activation-regulated chemokine (PARC), periostin, IL-22, eotaxin-1/3, and IL-8 may be the candidate biomarkers for monitoring treatment effects. There are still unmet needs and a long way to go for more convenient, non-invasive, and effective predictors and biomarkers to better guide personalized precise treatment.https://www.frontiersin.org/articles/10.3389/fmed.2022.1028694/fullatopic dermatitisbiomarkerpredictorphenotypeprecise treatment |
| spellingShingle | Ling Yu Ling Yu Ling Yu Linfeng Li Potential biomarkers of atopic dermatitis Frontiers in Medicine atopic dermatitis biomarker predictor phenotype precise treatment |
| title | Potential biomarkers of atopic dermatitis |
| title_full | Potential biomarkers of atopic dermatitis |
| title_fullStr | Potential biomarkers of atopic dermatitis |
| title_full_unstemmed | Potential biomarkers of atopic dermatitis |
| title_short | Potential biomarkers of atopic dermatitis |
| title_sort | potential biomarkers of atopic dermatitis |
| topic | atopic dermatitis biomarker predictor phenotype precise treatment |
| url | https://www.frontiersin.org/articles/10.3389/fmed.2022.1028694/full |
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