| Title |
Quantitative Mapping of Human Hair Graying and Reversal in Relation to Life Stress
|
|---|---|
| Published in |
bioRxiv, May 2020
|
| DOI | 10.1101/2020.05.18.101964 |
| Authors | |
| Abstract |
Hair graying is a universal hallmark of aging believed to be linked to psychological stress. Here we develop a novel approach to quantitatively profile natural graying events along individual human hair shafts, resulting in a quantifiable physical timescale of hair pigmentation patterns (HPPs). Using this approach, we quantify rare events of white/gray hairs that naturally regain pigmentation within days to weeks, thereby quantitatively defining the reversibility of graying in healthy, unmedicated individuals. Proteomic analysis shows that graying is marked by the upregulation of proteins related to energy metabolism, mitochondria, and antioxidant defenses. Combining hair pigmentation profiling and proteomics at the single hair level, we also report hair graying and its reversal occurring in parallel with behavioral and psychological stressors. A computational simulation suggests a threshold-based mechanism for the temporary reversibility of graying. Quantitatively mapping HPPs in humans provides an opportunity to longitudinally examine the influence of life exposures on biological aging. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 31 | 25% |
| France | 6 | 5% |
| Canada | 4 | 3% |
| United Kingdom | 4 | 3% |
| Switzerland | 3 | 2% |
| Spain | 3 | 2% |
| Germany | 3 | 2% |
| Denmark | 2 | 2% |
| India | 2 | 2% |
| Other | 12 | 10% |
| Unknown | 54 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 89 | 72% |
| Scientists | 29 | 23% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
| Practitioners (doctors, other healthcare professionals) | 3 | 2% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 31% |
| Professor | 1 | 6% |
| Student > Postgraduate | 1 | 6% |
| Student > Master | 1 | 6% |
| Unknown | 8 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
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| Environmental Science | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Computer Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 9 | 56% |