# Early Warning Systems for Childhood and Adult Disorders

> **NIH NIH R35** · ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI · 2020 · $1,016,103

## Abstract

Project Summary
According to the developmental origins of health and disease hypothesis, many disorders originate via
environmental exposures in fetal and early postnatal life. Such early life environmental exposures can alter the
developmental trajectory by disrupting the homeostasis of one or more systems, and in doing so produce
identifiable biochemical signatures characteristic of the disease process or outcome. However, the lack of a
conceptual framework as well as technological barriers have hampered research in this area; consequently,
many disorders are not detected until overt clinical signs appear in adulthood, at which point it is no longer
possible to meaningfully alter the course of development or disease. We are proposing a new paradigm that
will overcome these barriers to detect disease years before current clinical and biochemical tests. By doing so
we will be able to predict, and even prevent and treat diseases decades before any clinical signs. Central to
our proposal is an underappreciated characteristic of many human physiologic processes—they commonly
exhibit highly temporally resolved biochemical rhythms (or cycles) when at homeostasis. The idea of
biochemical rhythms in itself is not revolutionary; sleep cycles, body temperature, cortisol rhythms, and
menstrual cycles are all examples of the rhythmic nature of human physiology operating at various intervals.
Medical testing, however, seldom considers rhythmicity. We propose to develop not just a novel technology
that analyzes dynamic rhythmicity of key biochemical pathways during fetal development and childhood to
accurately detect marked and sustained deviations from homeostasis that would be prognostic of later-life
disease onset, but also a new framework for understanding development not solely as a linear trajectory but as
interconnected rhythmic processes embedded within the growth trajectory.

## Key facts

- **NIH application ID:** 9729176
- **Project number:** 1R35ES030435-01
- **Recipient organization:** ICAHN SCHOOL OF MEDICINE AT MOUNT SINAI
- **Principal Investigator:** Manish Arora
- **Activity code:** R35 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $1,016,103
- **Award type:** 1
- **Project period:** 2020-06-01 → 2028-03-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9729176

## Citation

> US National Institutes of Health, RePORTER application 9729176, Early Warning Systems for Childhood and Adult Disorders (1R35ES030435-01). Retrieved via AI Analytics 2026-05-22 from https://api.ai-analytics.org/grant/nih/9729176. Licensed CC0.

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