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. 2021 Jul 2;18(1):1908030. doi: 10.1080/21645515.2021.1908030

Table 1.

Summary table of the four approaches for predicting serum neutralization titer of VRC01. For concreteness, serum ID50 titers are considered but all descriptions apply to the prediction of either ID50 or ID80 titers

Approach for Predicting SerumID50 Titers Summary* Compared to Approaches 1–3 in ref #5 Pros Cons
Approach 1 SerumID50Pred= SerumConcMeasClinicallotIC50 Same as Approach 1 in;5
Serum ConcMeas < LLoQ replaced by LLoQ/2 in both articles.
  • Less resource-intensive: does not require ID50 measured on any serum sample; requires serum concentration measured in the given sample only

  • Simplest among all four approaches

  • Requires the availability of clinical lot IC50

  • In general, prediction performance not as high as Approaches 3 and 4

Approach 2 SerumID50Pred=SerumConcpopPKpredClinicallotIC50 Previous work in Ref5: Serum ConcMeas < LLoQ replaced by LLoQ/2 in the popPK model.
This current work: Likelihood method used to account for serum ConcMeas < LLoQ in the popPK model.
  • Less resource-intensive: does not require ID50 measured on any serum sample

  • Generally, as good as or better performance than Approach 1

  • Requires the availability of clinical lot IC50

  • Compared to Approach 1, Approaches 2–4 require serum concentrations measured at multiple time-points to permit popPK modeling

  • In general, prediction performance not as high as Approaches 3 and 4

Approach 3
  1. popPK modeling of measured longitudinal serum concentrations from all individuals;

  2. PD modeling of measured longitudinal serum concentrations and ID50 titers from individuals who have both types of data available;

  3. Serum ID50Pred obtained by plugging in popPK model-predicted serum concentration from step 1 into the PD model of step 2.

Previous work in Ref5: Serum ConcMeas < LLoQ replaced by LLoQ/2 in the popPK model; ID50Meas < LLoQ replaced by LLoQ/2 in the PD model.
This current work: Likelihood method used to account for serum ConcMeas <LLoQ, and ID50Meas <LLoQ in the popPK and PD models.
  • Compared to Approaches 1 & 2, does not require availability of the clinical lot IC50

  • Generally, better prediction performance than Approaches 1 and 2

  • More resource-intensive: in addition to serum concentrations measured at multiple time-points to permit popPK modeling, requires ID50 measured on a subset of those PK serum samples to permit PD modeling

Approach 4
  1. popPK modeling of measured longitudinal serum concentrations from all individuals; calculate serum IIP for all individuals;

  2. PD modeling of calculated longitudinal serum IIP and ID50 titers from individuals who have both types of data available;

  3. Serum ID50Pred obtained by plugging in calculated IIP from step 1 into the PD model of step 2.

NA (newly described here)
  • Accounts for not only serum concentrations but also the slope of the dose–response neutralization curve of the clinical lot product

  • Generally, better prediction performance than Approaches 1 and 2

  • More resource-intensive: in addition to serum concentrations measured at multiple time-points to permit popPK modeling, requires ID50 measured on a subset of those PK serum samples to permit PD modeling

  • Compared to Approach 3, additionally requires the availability of both IC50 and IC80 to permit the calculation of IIP as the predictor of ID50 titers

*Intended as an overview summary of each Approach; please see Methods for the full statistical description.

Conc = concentration; IIP = instantaneous inhibitory potential; Meas = measured; Pred = predicted; PK/PD = pharmacokinetics/pharmacodynamics.