Background: Many chronic diseases are characterised by low-grade systemic inflammation. Oestrogens may promote immune response consistent with sex-specific patterns of diseases. In vitro culture and animal experiments suggest oestrogens are anti-inflammatory and might thereby protect against low-grade systemic inflammation. Evidence from epidemiological studies is limited. Using a Mendelian randomisation analysis with a separate-sample instrumental variable (SSIV) estimator, we examined the association of genetically predicted 17β-estradiol with well-established systemic inflammatory markers (total white cell count, granulocyte and lymphocyte count).
Methods: A genetic score predicting 17β-estradiol was developed in 237 young Chinese women (university students) from Hong Kong based on a parsimonious set of genetic polymorphisms (ESR1 (rs2175898) and CYP19A1 (rs1008805)). Multivariable linear regression was used to examine the association of genetically predicted 17β-estradiol with systemic inflammatory markers among 3096 older (50+ years) Chinese women from the Guangzhou Biobank Cohort Study.
Results: Predicted 17β-estradiol was negatively associated with white blood cell count (-6.3 10(3)/mL, 95% CI -11.4 to -1.3) and granulocyte count (-4.5 10(3)/mL, 95% CI -8.5 to -0.4) but not lymphocyte count (-1.5 10(3)/mL, 95% CI -3.4 to 0.4) adjusted for age only. Results were similar further adjusted for education, smoking, use of alcohol, physical activity, Body Mass Index, waist-hip ratio, age of menarche, age at menopause, use of hormonal contraceptives and hormone replacement therapy.
Conclusions: Endogenous genetically predicted 17β-estradiol reduced low-grade systemic inflammatory markers (white blood cell count and granulocyte count), consistent with experimental and ecological evidence of 17β-estradiol promoting immune response. Replication in a larger sample is required.
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http://dx.doi.org/10.1136/jech-2013-203451 | DOI Listing |
Eur J Radiol
January 2025
Department of Radiology, West China Hospital Sichuan University Chengdu Sichuan China. Electronic address:
Purpose: To develop and validate an MRI-based model for predicting postoperative early (≤2 years) recurrence-free survival (RFS) in patients receiving upfront surgical resection (SR) for beyond Milan hepatocellular carcinoma (HCC) and to assess the model's performance in separate patients receiving neoadjuvant therapy for similar-stage tumors.
Method: This single-center retrospective study included consecutive patients with resectable BCLC A/B beyond Milan HCC undergoing upfront SR or neoadjuvant therapy. All images were independently evaluated by three blinded radiologists.
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View Article and Find Full Text PDFVision Res
January 2025
Eccles Institute of Neuroscience, John Curtin School of Medical Research, Australian National University, Acton, ACT, Australia. Electronic address:
Photic drive responses (PDRs) are used to explore cortical hyperexcitability. We quantified PDRs and interactions with the alpha rhythm in people with epilepsy (PwE). Fifteen PwE (mean age ± SD 47.
View Article and Find Full Text PDFACS Sens
January 2025
Department of Physics and Astronomy, Franklin College of Arts and Sciences, The University of Georgia, Athens, Georgia 30602, United States.
Multiple respiratory viruses can concurrently or sequentially infect the respiratory tract, making their identification crucial for diagnosis, treatment, and disease management. We present a label-free diagnostic platform integrating surface-enhanced Raman scattering (SERS) with deep learning for rapid, quantitative detection of respiratory virus coinfections. Using sensitive silica-coated silver nanorod array substrates, over 1.
View Article and Find Full Text PDFJMIR Public Health Surveill
January 2025
School of Arts and Media, Wuhan College, Wuhan, China.
Background: The global aging population and rapid development of digital technology have made health management among older adults an urgent public health issue. The complexity of online health information often leads to psychological challenges, such as cyberchondria, exacerbating health information avoidance behaviors. These behaviors hinder effective health management; yet, little research examines their mechanisms or intervention strategies.
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