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7eca0689-e84f-40ee-bc52-f4c3eb2a29dd |
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8684964a-bab1-4235-93a8-5fd5e24a1d0a |
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nmblgvwp-5219 |
| base_model_name |
xevyo |
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| model_name |
MicroRNA Predictors |
| model_desc |
MicroRNA Predictors of Longevity in
Caenorhabditi MicroRNA Predictors of Longevity in
Caenorhabditis... |
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/home/sid/tuning/finetune/backend/output/nmblgvwp- /home/sid/tuning/finetune/backend/output/nmblgvwp-5219/merged_fp16_hf... |
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xevyo |
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xevyo-base-v1 |
| dataset_desc |
This PDF is a comprehensive scientific research ar This PDF is a comprehensive scientific research article published in PLoS Genetics that investigates how microRNAs (miRNAs)—tiny non-coding RNA molecules that regulate gene expression—can predict how long an individual organism will live, even when all animals are genetically identical and raised in identical environments. The study uses the model organism Caenorhabditis elegans, a tiny nematode worm widely used in aging research.
The paper identifies three specific microRNAs—mir-71, mir-239, and mir-246—whose early-adulthood expression levels predict up to 47% of lifespan variability between genetically identical worms. This makes them some of the strongest known biomarkers of individual aging.
🔶 1. Central Purpose
The research aims to understand:
Why genetically identical individuals live different lifespans.
Whether early-life gene expression states can forecast future longevity.
Which miRNAs function as biomarkers (or even determinants) of lifespan.
The authors explore whether epigenetic and regulatory fluctuations—not random damage alone—may set a “trajectory” of robustness or frailty early in adulthood.
🔶 2. Key Findings
✅ A) Homeostatic (health) measures predict 62% of lifespan variability
Using a custom single-worm culture device, the researchers measured:
Movement rates
Body size and its maintenance
Autofluorescent “age pigments”
Tissue integrity (“decrepitude”)
Together, these physical markers predicted over 60% of differences in lifespan.
✅ B) Three microRNAs predict long-term survival
1. mir-71 — the strongest predictor
Expression peaks in early adulthood.
Higher and sustained expression predicts longer lifespan.
Spatial pattern shifts (from specific tissues to diffuse expression) also correlate strongly.
Explains up to 47% of lifespan variance on its own.
mir-71 acts in the insulin/IGF-1 signaling (IIS) pathway, a major longevity mechanism.
2. mir-246 — a longevity promoter
Expression rises gradually.
Slower plateau = longer life.
Predicts ~20% of lifespan differences.
3. mir-239 — a longevity antagonist
Expression continually increases with age.
Higher levels = shorter lifespan.
Predicts ~10% of lifespan variance.
✅ C) MicroRNAs likely determine longevity, not just report it
Two of the miRNAs (mir-71 and mir-239) function upstream of insulin signaling, which means their natural fluctuations:
alter stress resistance
shape metabolic resilience
impact tissue maintenance
Thus, individual differences in miRNA expression early in life likely shape the organism’s aging trajectory.
🔶 3. Methodological Highlights
The authors:
Designed a minimally invasive single-worm imaging platform.
Tracked hundreds of worms from birth to death.
Used time-lapse fluorescence imaging to monitor gene expression.
Applied machine learning tools (e.g., principal component analysis) to extract predictive spatial patterns.
This allowed them to link microscopic biological states to macroscopic outcomes (lifespan).
🔶 4. Why This Study Is Important
⭐ It provides some of the strongest evidence that:
Longevity is strongly influenced by early-life regulatory states.
Random damage is not the sole driver of aging variation.
miRNAs can serve as powerful aging biomarkers.
⭐ It hints at a universal principle:
Regulatory molecules that control conserved aging pathways (like IIS) may set the pace of aging early in life, even in humans.
🔷 Perfect One-Sentence Summary
This study shows that early-adulthood expression patterns of three microRNAs in C. elegans—particularly mir-71—can predict nearly half of individual lifespan variation, revealing that early-life regulatory states, not just random damage, play a major role in determining how long genetically identical organisms will live.... |
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