<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Tyler Ray | Yao Zheng@UHM</title><link>https://gustybear.github.io/author/tyler-ray/</link><atom:link href="https://gustybear.github.io/author/tyler-ray/index.xml" rel="self" type="application/rss+xml"/><description>Tyler Ray</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Fri, 07 Nov 2025 00:00:00 -1000</lastBuildDate><image><url>https://gustybear.github.io/media/logo_hu_d0a0b1783c391ac0.png</url><title>Tyler Ray</title><link>https://gustybear.github.io/author/tyler-ray/</link></image><item><title>Wearable Sweat Sensors for Cattle Heat Resistance and Metabolomics</title><link>https://gustybear.github.io/grant/2025_ctahr_cares_wearable/</link><pubDate>Fri, 07 Nov 2025 00:00:00 -1000</pubDate><guid>https://gustybear.github.io/grant/2025_ctahr_cares_wearable/</guid><description>&lt;h1 id="executive-summary">Executive Summary&lt;/h1>
&lt;p>This CTAHR CARES pilot project develops &lt;strong>non-invasive wearable sweat sensors&lt;/strong> to
monitor &lt;strong>heat stress in beef cattle&lt;/strong> at the molecular level. By coupling
commercial sweat and internal temperature sensors with &lt;strong>sweat metabolomics&lt;/strong> and
&lt;strong>gut microbiome profiling&lt;/strong>, the team aims to uncover biomarkers that distinguish
&lt;strong>heat-stressed&lt;/strong> from &lt;strong>heat-resistant&lt;/strong> animals.&lt;/p>
&lt;p>Heat stress in cattle is typically assessed using a combination of &lt;strong>visual
observation&lt;/strong>, &lt;strong>physiological measurements&lt;/strong>, and &lt;strong>environmental indices&lt;/strong> such
as the Temperature–Humidity Index (THI). These methods are indirect, labor
intensive, and often fail to capture &lt;strong>individual animal differences&lt;/strong> in
tolerance. This project will generate &lt;strong>continuous, individual-level data&lt;/strong> on
sweating, body temperature, movement, and molecular signatures to enable
climate-resilient herd management and breeding strategies in Hawaiʻi and beyond.&lt;/p>
&lt;h1 id="problem-statement">Problem Statement&lt;/h1>
&lt;p>Beef cattle in tropical and subtropical environments face increasingly frequent
&lt;strong>heat-stress events&lt;/strong> driven by climate change. Current evaluation methods:&lt;/p>
&lt;ul>
&lt;li>Rely on &lt;strong>THI&lt;/strong> and farm-level weather data&lt;/li>
&lt;li>Use &lt;strong>intermittent measurements&lt;/strong> of body temperature and respiration&lt;/li>
&lt;li>Depend on &lt;strong>subjective observation&lt;/strong> of panting, drooling, and behavior&lt;/li>
&lt;/ul>
&lt;p>However:&lt;/p>
&lt;ul>
&lt;li>&lt;strong>Individual and breed variation&lt;/strong> in heat tolerance is large&lt;/li>
&lt;li>Early, sub-clinical heat stress is often &lt;strong>missed&lt;/strong>&lt;/li>
&lt;li>Invasive or sporadic measurements are &lt;strong>not scalable&lt;/strong> for large herds&lt;/li>
&lt;/ul>
&lt;p>There is a critical need for &lt;strong>fast, accurate, and non-invasive tools&lt;/strong> to
determine when a specific cow is experiencing heat stress, and to identify
animals that remain resilient under extreme conditions.&lt;/p>
&lt;h1 id="research-objectives">Research Objectives&lt;/h1>
&lt;p>&lt;strong>Overall Goal:&lt;/strong> Develop an integrated framework that links &lt;strong>wearable sweat and
temperature sensing&lt;/strong> with &lt;strong>metabolomics&lt;/strong> and &lt;strong>microbiome&lt;/strong> data to quantify
heat stress and heat resistance in cattle.&lt;/p>
&lt;h1 id="objective-1--characterize-heat-stress-physiology">Objective 1 – Characterize Heat Stress Physiology&lt;/h1>
&lt;ul>
&lt;li>Relate &lt;strong>sweating rate&lt;/strong>, internal body temperature, and movement patterns to
&lt;strong>environmental conditions&lt;/strong> (THI, day/night cycles, seasonal variation)&lt;/li>
&lt;li>Capture how &lt;strong>apocrine sweat glands&lt;/strong> in cattle respond under different levels
of heat load&lt;/li>
&lt;/ul>
&lt;h1 id="objective-2--identify-molecular-biomarkers">Objective 2 – Identify Molecular Biomarkers&lt;/h1>
&lt;ul>
&lt;li>Perform &lt;strong>sweat metabolomics&lt;/strong> to identify compounds associated with heat
stress vs. heat resistance&lt;/li>
&lt;li>Analyze &lt;strong>gut microbiota&lt;/strong> (from fecal samples) and &lt;strong>blood-based markers&lt;/strong>&lt;/li>
&lt;li>Measure &lt;strong>thyroid hormone&lt;/strong> levels, &lt;strong>heat shock proteins (HSPs)&lt;/strong>, and
&lt;strong>mitochondrial ATP-related gene expression&lt;/strong> as potential indicators of
chronic heat load&lt;/li>
&lt;/ul>
&lt;h1 id="objective-3--enable-climate-resilient-cattle-selection">Objective 3 – Enable Climate-Resilient Cattle Selection&lt;/h1>
&lt;ul>
&lt;li>Integrate physiological and molecular data to identify &lt;strong>candidate biomarkers
and genetic markers&lt;/strong> of heat stress and heat resistance&lt;/li>
&lt;li>Provide a foundation for &lt;strong>future selection and breeding programs&lt;/strong> targeting
climate-resilient cattle in Hawaiʻi’s diverse environments&lt;/li>
&lt;/ul></description></item></channel></rss>