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Causal association between genetically predicted circulating immune cell counts and frailty: a two-sample Mendelian randomization study.
Guo, Xiao-Guang; Zhang, Ya-Juan; Lu, Ya-Xin; Lu, Jia-Mei; Zhang, Jie; Li, Hui-Xin; Chen, Chao-Jin; Yang, Jian-Jun.
Affiliation
  • Guo XG; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Zhang YJ; Department of Obstetrics and Gynecology, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Lu YX; Big Data and Artificial Intelligence Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Lu JM; Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Zhang J; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Li HX; Department of Anesthesiology, Pain and Perioperative Medicine, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, China.
  • Chen CJ; Big Data and Artificial Intelligence Center, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
  • Yang JJ; Department of Anesthesiology, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, China.
Front Immunol ; 15: 1336498, 2024.
Article in En | MEDLINE | ID: mdl-38322263
ABSTRACT

Background:

Despite the recognized link between immune responses and frailty, the association between immune cell counts and frailty based on previous observational studies remains disputed, with uncertain causal nexus. This study aimed to elucidate causal association between genetically predicted circulating immune cell counts and frailty.

Methods:

We conducted the two-sample Mendelian randomization (MR) study with independent genetic variants associated with six immune cell subtype counts from genome-wide association studies in 563,946 European individuals. Frailty summary data, assessed via frailty index (FI), was obtained from study comprising 175,226 subjects. Univariate MR, reverse MR and multivariate MR were conducted to comprehensive investigate the association between immune cell counts and FI, with two-step MR analysis for mediation analysis.

Results:

Univariate MR evidence indicated that among six leukocyte subtype counts, only elevated eosinophil count was significantly correlated with higher FI (ß = 0.059, 95% confidence interval [CI], 0.042-0.078, P=5.63E-11), with no reverse causal relationship identified in reverse MR. In multivariate MR, the causal effect of eosinophil count retained statistical significance (ß = 0.063, 95% CI, 0.021-0.104, P = 0.003). Ultimately, the two-step MR analysis demonstrated two mediators in this causal pathway asthma (ß= 0.019, 95% CI, 0.013-0.025, P = 35.84E-10, mediated proportion, 31.732%) and rheumatoid arthritis (ß= 0.004, 95% CI, 0.001-0.006, P=1.75E-03, mediated proportion, 6.411%).

Conclusions:

Within immune cell subtypes, MR evidence indicated only genetically predicted circulating eosinophil count had irreversible and independent causal effect on frailty, with asthma and rheumatoid arthritis possibly serving as partial mediators. The finding stressed the need for further exploring physiological functions of eosinophils in order to develop effective strategies against frailty.
Subject(s)
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arthritis, Rheumatoid / Asthma / Frailty Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Front Immunol / Front. immunol / Frontiers in immunology Year: 2024 Document type: Article Affiliation country: China Country of publication: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Arthritis, Rheumatoid / Asthma / Frailty Type of study: Clinical_trials / Observational_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Front Immunol / Front. immunol / Frontiers in immunology Year: 2024 Document type: Article Affiliation country: China Country of publication: Suiza