Department of Biomedical Engineering, University of Miami, Miami, Florida, United States of America.
University of Miami Miller School of Medicine, Miami, Florida, United States of America.
PLoS One. 2024 Apr 2;19(4):e0292566. doi: 10.1371/journal.pone.0292566. eCollection 2024.
Post vaccine immunity following COVID-19 mRNA vaccination may be driven by extrinsic, or controllable and intrinsic, or inherent health factors. Thus, we investigated the effects of extrinsic and intrinsic on the peak antibody response following COVID-19 primary vaccination and on the trajectory of peak antibody magnitude and durability over time. Participants in a longitudinal cohort attended visits every 3 months for up to 2 years following enrollment. At baseline, participants provided information on their demographics, recreational behaviors, and comorbid health conditions which guided our model selection process. Blood samples were collected for serum processing and spike antibody testing at each visit. Cross-sectional and longitudinal models (linear-mixed effects models) were generated to assess the relationship between selected intrinsic and extrinsic health factors on peak antibody following vaccination and to determine the influence of these predictors on antibody over time. Following cross-sectional analysis, we observed higher peak antibody titers after primary vaccination in females, those who reported recreational drug use, younger age, and prior COVID-19 history. Following booster vaccination, females and Hispanics had higher peak titers after the 3rd and 4th doses, respectively. Longitudinal models demonstrated that Moderna mRNA-1273 recipients, females, and those previously vaccinated had increased peak titers over time. Moreover, drug users and half-dose Moderna mRNA-1273 recipients had higher peak antibody titers over time following the first booster, while no predictive factors significantly affected post-second booster antibody responses. Overall, both intrinsic and extrinsic health factors play a significant role in shaping humoral immunogenicity after initial vaccination and the first booster. The absence of predictive factors for second booster immunogenicity suggests a more robust and consistent immune response after the second booster vaccine administration.
接种 COVID-19 mRNA 疫苗后的疫苗后免疫可能受外在的或可控的和内在的或固有健康因素的驱动。因此,我们研究了外在和内在因素对 COVID-19 初级疫苗接种后峰值抗体反应的影响,以及随着时间的推移峰值抗体幅度和耐久性的轨迹。纵向队列中的参与者在登记后的 2 年内每 3 个月进行一次随访。在基线时,参与者提供了他们的人口统计学、娱乐行为和合并健康状况的信息,这些信息指导了我们的模型选择过程。在每次就诊时采集血样进行血清处理和刺突抗体检测。生成了横断面和纵向模型(线性混合效应模型),以评估选定的内在和外在健康因素与接种后峰值抗体之间的关系,并确定这些预测因子对抗体随时间的影响。在横断面分析后,我们观察到女性、报告使用娱乐性药物的人、年龄较小和有 COVID-19 既往史的人在初级疫苗接种后产生的峰值抗体滴度更高。在加强接种后,女性和西班牙裔在第 3 剂和第 4 剂后分别产生更高的峰值滴度。纵向模型表明,Moderna mRNA-1273 接种者、女性和以前接种过疫苗的人随着时间的推移峰值滴度增加。此外,药物使用者和半剂量 Moderna mRNA-1273 接种者在第一次加强接种后随着时间的推移峰值抗体滴度更高,而没有预测因素显著影响第二次加强接种后的抗体反应。总体而言,内在和外在健康因素都在初始疫苗接种和第一次加强接种后的体液免疫原性形成中起重要作用。第二次加强免疫原性没有预测因素表明,第二次加强疫苗接种后会产生更强大和更一致的免疫反应。