# Therapeutics Core

> **NIH NIH P30** · UNIVERSITY OF NEBRASKA MEDICAL CENTER · 2020 · $203,175

## Abstract

Therapeutics Core
Abstract
Antiretroviral therapy remains the gold standard for the treatment of human immunodeficiency virus infection.
While having dramatic effects on disease morbidity and mortality, it demands life-long adherence. Secondary
toxicities, viral mutation, co-morbid diseases, constitutional drug-associated symptoms, adherence of complex
regimens “pill burdens”, and drug-drug interactions are further complicating limitations. Nanoformulated long-
acting antiretroviral therapy with half-lives measured in month(s) require infrequent administration but with
equivalent or superior therapeutic efficacy compared to standard drug regiments. These have the potential to
revolutionize current antiretroviral therapy. Cell-targeted nanoformulations provide yet another boost by
improving drug delivery to viral reservoirs and by providing novel opportunities for viral eradication. This Core
seeks funds to bring together and be a resource for investigators skilled in cell biology, virology,
pharmaceutical science, immunology, animal science, clinical medicine, and good manufacturing practice to
move laboratory discoveries to the patient’s bedside. The Core is innovative in research design and translation.
While providing unique collaborative opportunities, the science is high impact with true discovery potential.
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## Key facts

- **NIH application ID:** 9901615
- **Project number:** 5P30MH062261-19
- **Recipient organization:** UNIVERSITY OF NEBRASKA MEDICAL CENTER
- **Principal Investigator:** Howard E Gendelman
- **Activity code:** P30 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $203,175
- **Award type:** 5
- **Project period:** — → —

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9901615

## Citation

> US National Institutes of Health, RePORTER application 9901615, Therapeutics Core (5P30MH062261-19). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/9901615. Licensed CC0.

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