# Combining germline-targeting, B cell immunofocusing and Env-Ab co-evolution strategies to induce HIV Envelope V2-apex broadly neutralizing antibodies

> **NIH NIH R61** · SCRIPPS RESEARCH INSTITUTE, THE · 2022 · $1,618,119

## Abstract

PROJECT SUMMARY/ABSTRACT:
The development of an effective HIV vaccine has proven to be a daunting challenge. Previous strategies for HIV
vaccine design aimed to elicit protective T cell responses, non-neutralizing antibodies, broadly neutralizing
antibodies (bnAbs), or some combination of the three. All three approaches have thus far failed to consistently
protect nonhuman primates (NHPs) or humans from infection. This grant aims to elicit bnAbs by means of a
novel strategy that combines – for the first time – germline-targeting, immunofocusing and molecularly guided
affinity maturation. This study design evolves from a growing consensus that critical elements to a successful
bnAb-based vaccine will be its ability to efficiently bind and activate rare naïve B cell germline precursors of
bnAbs; to immunofocus these B cell responses to canonical, conserved bnAb epitopes on the HIV Env trimer
and away from off-target strain specific or trimer base epitopes; and to mature or “polish” this bnAb lineage
response by a process of molecularly guided Env-Ab coevolution. The study design proposed in this application
addresses each of these three essential requirements as it aims to elicit bnAbs targeting the highly conserved
HIV-1 V2-apex site. The principal investigators (Andrabi and Shaw) have assembled a talented collaborating
research team with a strong track record of scientific discovery, bioengineering and molecular tool development,
including the discovery of V2-apex bnAbs (Burton), development of germline targeted V2 apex immunogens
(Andrabi), bioengineering of phosphoserine-linked alum nanoparticle antigen displays (Irvine), discovery of V2-
apex immunofocusing chimpanzee simian immunodeficiency viruses (Hahn), creation of CRISPRCas9 knock-in
mice (Batista), development of next-generation “designer” SHIVs (Shaw) and preclinical-clinical translation
(Dey). The project consists of four aims: Aim #1 will isolate HIV envelope V2-apex targeted bnAbs from SHIV
infected rhesus macaques, identify their UCA’s, and generate UCA-expressing knock-in mouse models for
vaccine evaluation. Aim #2 will design novel V2-apex germline-targeted and immunofocused SOSIP Env trimer
immunogens and by mammalian display saturation mutagenesis and structure-guided design present them as
soluble proteins or alum-based nanoparticles for enhanced B cell responses. Aim #3 will optimize germline-
targeting and B cell immunofocusing boost strategies in V2-apex bnAb UCA-expressing KI-mice and outbred
RMs, and will identify in SOSIP Env primed and SHIV infected RMs, Env “immunotypes” that can drive
neutralization breadth. Aim #4 will design and test, first in KI mice and then in a pivotal preclinical trial in RMs,
an all-SOSIP Env vaccination regimen designed to prime, boost and affinity-mature bnAb responses in a majority
of animals. If successful, this would be the first example of a vaccine regimen that consistently elicits bnAbs in
an outbred animal model, and it would represent...

## Key facts

- **NIH application ID:** 10380767
- **Project number:** 5R61AI161818-02
- **Recipient organization:** SCRIPPS RESEARCH INSTITUTE, THE
- **Principal Investigator:** Raiees Ahmad Andrabi
- **Activity code:** R61 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2022
- **Award amount:** $1,618,119
- **Award type:** 5
- **Project period:** 2021-04-01 → 2024-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10380767

## Citation

> US National Institutes of Health, RePORTER application 10380767, Combining germline-targeting, B cell immunofocusing and Env-Ab co-evolution strategies to induce HIV Envelope V2-apex broadly neutralizing antibodies (5R61AI161818-02). Retrieved via AI Analytics 2026-05-24 from https://api.ai-analytics.org/grant/nih/10380767. Licensed CC0.

---

*[NIH grants dataset](/datasets/nih-grants) · CC0 1.0*