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Modeling Clinical States and Metabolic Rhythms in Bioarcheology
#MMPMID26346040
Qualls C
; Bianucci R
; Spilde MN
; Phillips G
; Wu C
; Appenzeller O
Biomed Res Int
2015[]; 2015
(?): 818724
PMID26346040
show ga
Bioarcheology is cross disciplinary research encompassing the study of human
remains. However, life's activities have, up till now, eluded bioarcheological
investigation. We hypothesized that growth lines in hair might archive the
biologic rhythms, growth rate, and metabolism during life. Computational modeling
predicted the physical appearance, derived from hair growth rate, biologic
rhythms, and mental state for human remains from the Roman period. The width of
repeat growth intervals (RI's) on the hair, shown by confocal microscopy, allowed
computation of time series of periodicities of the RI's to model growth rates of
the hairs. Our results are based on four hairs from controls yielding 212 data
points and the RI's of six cropped hairs from Zweeloo woman's scalp yielding 504
data points. Hair growth was, ten times faster than normal consistent with
hypertrichosis. Cantú syndrome consists of hypertrichosis, dyschondrosteosis,
short stature, and cardiomegaly. Sympathetic activation and enhanced metabolic
state suggesting arousal was also present. Two-photon microscopy visualized
preserved portions of autonomic nerve fibers surrounding the hair bulb. Scanning
electron microscopy found evidence that a knife was used to cut the hair three to
five days before death. Thus computational modeling enabled the elucidation of
life's activities 2000 years after death in this individual with Cantu syndrome.
This may have implications for archeology and forensic sciences.
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