The alterations of circulating mucosal-associated invariant T cells in polycystic ovary syndrome Article Swipe
YOU?
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· 2022
· Open Access
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· DOI: https://doi.org/10.3389/fendo.2022.1038184
Background Polycystic ovary syndrome (PCOS) is the most common endocrine disorder affecting reproductive age females and an important cause of infertility. Although the etiology is complex and its pathogenesis remains unclear, the pathological process of PCOS is tightly related with the immune dysfunction and gut microbial dysbiosis. Mucosal-associated invariant T (MAIT) cells are a subset of innate-like T cells which can regulate inflammation through the production of cytokines and play a role in regulating the gut microbiota. We aim to evaluate the correlation between characteristics of PCOS and MAIT cells as well as their impact on cytokine secretion. Methods Peripheral blood samples were taken from PCOS patients (n=33) and healthy controls (n=30) during 2-5 days of the menstrual period. The frequencies of MAIT cells and T cells were measured by flow cytometry. Cytokines interleukin 17 (IL-17), interleukin 22(IL-22), interferon γ (IFN-γ) and granzyme B were determined by Enzyme-linked immunosorbent assay (ELISA). Results The frequency of MAIT cells was significantly reduced in the blood of PCOS patients compared with the controls, and negatively correlated with Body Mass Index (BMI), Homeostatic model assessment- insulin resistance (HOMA-IR) index, and Anti Miillerian Hormone (AMH). Thus, the frequencies of MAIT cells decreased in PCOS patients with abnormal weight (BMI≥24kg/m2), higher HOMA-IR (≥1.5), and excessive AMH (≥8ng/ml). The Cytokine IL-17 was significantly higher in PCOS patients and negatively correlated with the frequency of MAIT cells. Even though the IL-22 was lower in PCOS Patients, no correlation with MAIT cells was detected. In subgroup, CD4+MAIT cells correlated with BMI, AMH, and testosterone (T) levels. Conclusion The frequency change of MAIT cells may play a significant role in the pathogenesis of PCOS. Exploring these interactions with MAIT cells may provide a new target for PCOS treatment and prevention.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fendo.2022.1038184
- https://www.frontiersin.org/articles/10.3389/fendo.2022.1038184/pdf
- OA Status
- gold
- Cited By
- 4
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4310260772
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4310260772Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.3389/fendo.2022.1038184Digital Object Identifier
- Title
-
The alterations of circulating mucosal-associated invariant T cells in polycystic ovary syndromeWork title
- Type
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articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2022Year of publication
- Publication date
-
2022-11-28Full publication date if available
- Authors
-
Hong Zhou, Junting Xu, Ling Hong, Yanping Jia, Lilo Valerie Burk, Fengli Chi, Mei Zhao, Xiaohong Guan, Dan Liu, Xiangjie Yin, Yiqiao Zhang, Xiaoming Teng, Liyan Duan, Kunming LiList of authors in order
- Landing page
-
https://doi.org/10.3389/fendo.2022.1038184Publisher landing page
- PDF URL
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https://www.frontiersin.org/articles/10.3389/fendo.2022.1038184/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
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https://www.frontiersin.org/articles/10.3389/fendo.2022.1038184/pdfDirect OA link when available
- Concepts
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Polycystic ovary, Insulin resistance, Internal medicine, Endocrinology, Immune system, Granzyme B, Cytokine, Immunology, Medicine, Biology, T cell, InsulinTop concepts (fields/topics) attached by OpenAlex
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4Total citation count in OpenAlex
- Citations by year (recent)
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2025: 2, 2024: 1, 2023: 1Per-year citation counts (last 5 years)
- References (count)
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55Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.(PCOS) | 4 |
| abstract_inverted_index.(n=30) | 111 |
| abstract_inverted_index.(n=33) | 107 |
| abstract_inverted_index.cells. | 228 |
| abstract_inverted_index.change | 260 |
| abstract_inverted_index.common | 8 |
| abstract_inverted_index.during | 112 |
| abstract_inverted_index.higher | 204, 216 |
| abstract_inverted_index.immune | 41 |
| abstract_inverted_index.impact | 94 |
| abstract_inverted_index.index, | 184 |
| abstract_inverted_index.subset | 54 |
| abstract_inverted_index.target | 284 |
| abstract_inverted_index.though | 230 |
| abstract_inverted_index.weight | 202 |
| abstract_inverted_index.HOMA-IR | 205 |
| abstract_inverted_index.Hormone | 188 |
| abstract_inverted_index.Methods | 98 |
| abstract_inverted_index.Results | 151 |
| abstract_inverted_index.between | 83 |
| abstract_inverted_index.complex | 25 |
| abstract_inverted_index.females | 14 |
| abstract_inverted_index.healthy | 109 |
| abstract_inverted_index.insulin | 181 |
| abstract_inverted_index.levels. | 256 |
| abstract_inverted_index.period. | 118 |
| abstract_inverted_index.process | 33 |
| abstract_inverted_index.provide | 281 |
| abstract_inverted_index.reduced | 159 |
| abstract_inverted_index.related | 38 |
| abstract_inverted_index.remains | 29 |
| abstract_inverted_index.samples | 101 |
| abstract_inverted_index.through | 63 |
| abstract_inverted_index.tightly | 37 |
| abstract_inverted_index.(ELISA). | 150 |
| abstract_inverted_index.(IFN-γ) | 140 |
| abstract_inverted_index.(IL-17), | 135 |
| abstract_inverted_index.Although | 21 |
| abstract_inverted_index.CD4+MAIT | 247 |
| abstract_inverted_index.Cytokine | 212 |
| abstract_inverted_index.abnormal | 201 |
| abstract_inverted_index.compared | 166 |
| abstract_inverted_index.controls | 110 |
| abstract_inverted_index.cytokine | 96 |
| abstract_inverted_index.disorder | 10 |
| abstract_inverted_index.etiology | 23 |
| abstract_inverted_index.evaluate | 80 |
| abstract_inverted_index.granzyme | 142 |
| abstract_inverted_index.measured | 128 |
| abstract_inverted_index.patients | 106, 165, 199, 219 |
| abstract_inverted_index.regulate | 61 |
| abstract_inverted_index.syndrome | 3 |
| abstract_inverted_index.unclear, | 30 |
| abstract_inverted_index.(HOMA-IR) | 183 |
| abstract_inverted_index.(≥1.5), | 206 |
| abstract_inverted_index.Cytokines | 132 |
| abstract_inverted_index.Exploring | 274 |
| abstract_inverted_index.Patients, | 237 |
| abstract_inverted_index.affecting | 11 |
| abstract_inverted_index.controls, | 169 |
| abstract_inverted_index.cytokines | 67 |
| abstract_inverted_index.decreased | 196 |
| abstract_inverted_index.detected. | 244 |
| abstract_inverted_index.endocrine | 9 |
| abstract_inverted_index.excessive | 208 |
| abstract_inverted_index.frequency | 153, 225, 259 |
| abstract_inverted_index.important | 17 |
| abstract_inverted_index.invariant | 48 |
| abstract_inverted_index.menstrual | 117 |
| abstract_inverted_index.microbial | 45 |
| abstract_inverted_index.subgroup, | 246 |
| abstract_inverted_index.treatment | 287 |
| abstract_inverted_index.22(IL-22), | 137 |
| abstract_inverted_index.Background | 0 |
| abstract_inverted_index.Conclusion | 257 |
| abstract_inverted_index.Miillerian | 187 |
| abstract_inverted_index.Peripheral | 99 |
| abstract_inverted_index.Polycystic | 1 |
| abstract_inverted_index.correlated | 172, 222, 249 |
| abstract_inverted_index.cytometry. | 131 |
| abstract_inverted_index.determined | 145 |
| abstract_inverted_index.dysbiosis. | 46 |
| abstract_inverted_index.interferon | 138 |
| abstract_inverted_index.negatively | 171, 221 |
| abstract_inverted_index.production | 65 |
| abstract_inverted_index.regulating | 73 |
| abstract_inverted_index.resistance | 182 |
| abstract_inverted_index.secretion. | 97 |
| abstract_inverted_index.Homeostatic | 178 |
| abstract_inverted_index.assessment- | 180 |
| abstract_inverted_index.correlation | 82, 239 |
| abstract_inverted_index.dysfunction | 42 |
| abstract_inverted_index.frequencies | 120, 192 |
| abstract_inverted_index.innate-like | 56 |
| abstract_inverted_index.interleukin | 133, 136 |
| abstract_inverted_index.microbiota. | 76 |
| abstract_inverted_index.prevention. | 289 |
| abstract_inverted_index.significant | 267 |
| abstract_inverted_index.(≥8ng/ml). | 210 |
| abstract_inverted_index.infertility. | 20 |
| abstract_inverted_index.inflammation | 62 |
| abstract_inverted_index.interactions | 276 |
| abstract_inverted_index.pathogenesis | 28, 271 |
| abstract_inverted_index.pathological | 32 |
| abstract_inverted_index.reproductive | 12 |
| abstract_inverted_index.testosterone | 254 |
| abstract_inverted_index.Enzyme-linked | 147 |
| abstract_inverted_index.immunosorbent | 148 |
| abstract_inverted_index.significantly | 158, 215 |
| abstract_inverted_index.characteristics | 84 |
| abstract_inverted_index.(BMI≥24kg/m2), | 203 |
| abstract_inverted_index.Mucosal-associated | 47 |
| cited_by_percentile_year.max | 97 |
| cited_by_percentile_year.min | 89 |
| corresponding_author_ids | https://openalex.org/A5017316035, https://openalex.org/A5101468055 |
| countries_distinct_count | 2 |
| institutions_distinct_count | 14 |
| corresponding_institution_ids | https://openalex.org/I4210111013, https://openalex.org/I4210153623, https://openalex.org/I62318514 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/3 |
| sustainable_development_goals[0].score | 0.7099999785423279 |
| sustainable_development_goals[0].display_name | Good health and well-being |
| citation_normalized_percentile.value | 0.57722528 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |