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1.
Transplantation ; 106(10): e452-e460, 2022 10 01.
Article in English | MEDLINE | ID: covidwho-1948635

ABSTRACT

BACKGROUND: Solid organ transplant recipients (SOTRs) are less likely to mount an antibody response to SARS-CoV-2 mRNA vaccines. Understanding risk factors for impaired vaccine response can guide strategies for antibody testing and additional vaccine dose recommendations. METHODS: Using a nationwide observational cohort of 1031 SOTRs, we created a machine learning model to explore, identify, rank, and quantify the association of 19 clinical factors with antibody responses to 2 doses of SARS-CoV-2 mRNA vaccines. External validation of the model was performed using a cohort of 512 SOTRs at Houston Methodist Hospital. RESULTS: Mycophenolate mofetil use, a shorter time since transplant, and older age were the strongest predictors of a negative antibody response, collectively contributing to 76% of the model's prediction performance. Other clinical factors, including transplanted organ, vaccine type (mRNA-1273 versus BNT162b2), sex, race, and other immunosuppressants, showed comparatively weaker associations with an antibody response. This model showed moderate prediction performance, with an area under the receiver operating characteristic curve of 0.79 in our cohort and 0.67 in the external validation cohort. An online calculator based on our prediction model is available at http://transplantmodels.com/covidvaccine/ . CONCLUSIONS: Our machine learning model helps understand which transplant patients need closer follow-up and additional doses of vaccine to achieve protective immunity. The online calculator based on this model can be incorporated into transplant providers' practice to facilitate patient-centric, precision risk stratification and inform vaccination strategies among SOTRs.


Subject(s)
COVID-19 Vaccines , COVID-19 , Transplant Recipients , Antibodies, Viral , Antibody Formation , BNT162 Vaccine , COVID-19/prevention & control , COVID-19 Vaccines/adverse effects , Humans , Immunosuppressive Agents/adverse effects , Machine Learning , Mycophenolic Acid , SARS-CoV-2 , Vaccines , Vaccines, Synthetic , mRNA Vaccines
2.
Int Arch Allergy Immunol ; 181(8): 629-634, 2020.
Article in English | MEDLINE | ID: covidwho-610697

ABSTRACT

The difference between the female and male immune response to COVID-19 infection, and infections in general, is multifactorial. The well-known determiners of the immune response, such as X and Y chromosomes, sex hormones, and microbiota, are functionally interconnected and influence each other in shaping the organism's immunity. We focus our commentary on the interplay between the genetic sex and mitochondria and how this may affect a sex-dependent immune response in COVID-19 infection. Realizing the existence of these interactions may help in designing novel methods or fine-tuning the existing and routine therapies to fight COVID-19 and other infections.


Subject(s)
Betacoronavirus , Coronavirus Infections/immunology , Mitochondria/physiology , Pneumonia, Viral/immunology , Sex Chromosomes/physiology , COVID-19 , Coronavirus Infections/drug therapy , Female , Humans , Male , Melatonin/therapeutic use , Pandemics , Pneumonia, Viral/drug therapy , SARS-CoV-2 , Sex Characteristics
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