Gender-specific association between blood cell parameters and hyperuricemia in high-altitude areas Article Swipe
Danli Cui
,
Ruoying Huang
,
Dexi Yongzong
,
Bo Lin
,
Xia Huang
,
Qimei Ciren
,
Xuelian Zhou
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fpubh.2024.1336674
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.3389/fpubh.2024.1336674
Background Hyperuricemia is a common metabolic disorder linked to various health conditions. Its prevalence varies among populations and genders, and high-altitude environments may contribute to its development. Understanding the connection between blood cell parameters and hyperuricemia in high-altitude areas can shed light on the underlying mechanisms. This study aimed to investigate the relationship between blood cell parameters and hyperuricemia in high-altitude areas, with a particular focus on gender differences. Methods We consecutively enrolled all eligible Tibetan participants aged 18–60 who were undergoing routine medical examinations at the People’s Hospital of Chaya County between January and December 2022. During this period, demographic and laboratory data were collected to investigate the risk factors associated with hyperuricemia. Results Among the participants, 46.09% were diagnosed with hyperuricemia. In the male cohort, significant correlations were found between serum uric acid (SUA) levels and red blood cell (RBC) count, creatinine (Cr). Urea, alanine transaminase (ALT), and albumin (ALB). Notably, RBC exhibited the strongest association. Conversely, in the female cohort, elevated SUA levels were associated with factors such as white blood cell (WBC) count. Urea, ALT, and ALB, with WBC demonstrating the most significant association. Further analysis within the female group revealed a compelling relationship between SUA levels and specific white blood cell subtypes, particularly neutrophils (Neu). Conclusion This study revealed gender-specific associations between SUA levels and blood cell parameters in high-altitude areas. In males, RBC count may play a role in hyperuricemia, while in females, WBC count appears to be a significant factor. These findings contribute to our understanding of metabolic dynamics in high-altitude regions but require further research for comprehensive mechanistic insights.
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Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.3389/fpubh.2024.1336674
- https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1336674/pdf
- OA Status
- gold
- Cited By
- 2
- References
- 26
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4393146892
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4393146892Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.3389/fpubh.2024.1336674Digital Object Identifier
- Title
-
Gender-specific association between blood cell parameters and hyperuricemia in high-altitude areasWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-03-25Full publication date if available
- Authors
-
Danli Cui, Ruoying Huang, Dexi Yongzong, Bo Lin, Xia Huang, Qimei Ciren, Xuelian ZhouList of authors in order
- Landing page
-
https://doi.org/10.3389/fpubh.2024.1336674Publisher landing page
- PDF URL
-
https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1336674/pdfDirect link to full text PDF
- Open access
-
YesWhether a free full text is available
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-
goldOpen access status per OpenAlex
- OA URL
-
https://www.frontiersin.org/journals/public-health/articles/10.3389/fpubh.2024.1336674/pdfDirect OA link when available
- Concepts
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Hyperuricemia, Medicine, White blood cell, Aspartate transaminase, Internal medicine, Uric acid, Creatinine, Alanine transaminase, Physiology, Cohort, Effects of high altitude on humans, Red blood cell distribution width, Biology, Enzyme, Anatomy, Biochemistry, Alkaline phosphataseTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
2Total citation count in OpenAlex
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2025: 2Per-year citation counts (last 5 years)
- References (count)
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26Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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