ARTICLE
Auteur(s) : Dominique VAN NESTE
Skinterface 9, rue du Sondart B-7500 Tournai, Belgium
Article accepted on 20/10/03
The biological value of human hair colour is poorly understood.
Clinical experience tells us that scalp hair is an excellent
sun-lock as one of the first signs of unnoticed hair loss may be an
unexpected sunburn of the scalp skin. Also greying is obviously
associated with ageing. Other modifications of scalp hair
associated with ageing are usually described as hair “thinning”.
Because this is a qualitative term describing the global perception
of scalp hair it cannot help our understanding of the basic
modification of hair growth during ageing. The specificity of
“senescent alopecia” remains a matter of dispute [1, 2]. A detailed
knowledge of scalp behaviour during ageing requires measurement of
four variables known to quantitatively describe the hairiness of
scalp namely, number of hairs (and hair follicles) per unit scalp
area, growth phase duration, growth rate and thickness [3]. The two
last variables can be measured using light microscopy irrespective
of hair pigmentation and a correlation was shown between these
variables in various conditions [4, 5].
Little is known about the relationship between hair pigmentation,
growth rate and thickness and the possible changes occurring with
age. We have now characterised these hair growth variables in
relation to hair pigmentation in postmenopausal females and
compared the results with those from young and mature female
controls.
Materials and methods
Volunteers
24 women agreed to participate in a hair physiology study
after approval of the protocol by the Ethical Committee.
8 subjects (average age 60.5 years; range 50-65) from a
group of 12 untreated post menopausal Caucasian females with
“thinning” hair showed both pigmented (P) and unpigmented (white-W)
hairs on the same scalp. Hair loss was classified according to
Ludwig's classification [6].
7 young (average age 19 years; range 15-21) and
5 mature (average age 42.8 years; range 38-48) healthy
females served as controls. Their hair colour ranged from light to
dark brown with few if any white hairs.
Scalp Sites
All hairs from 3 1.2 × 1.0 cm scalp sites,
2 on the top of the head (T), one occipital (O) in each
individual were clipped close to the scalp surface. The patients
returned one month later (average 29.2 days; range
28-33 days) for clipping and collection of the grown hairs.
Menopausal women were sampled twice at a one month interval.
Clipped hairs were mounted with double sided adhesive tape on
microscope slides and length and thickness (average of maximum and
minimum diameter; precision of the objective ruler: 0.1 µm)
were determined microscopically. The presence of medulla was
evaluated against a standardized ruler and medulla was described as
occupying 10, 20, 50, 70 or 90% of the length of the hair
segment. Only those hairs with two clear cut ends at both sites
were measured (precision of length measures 0.5 mm). W hairs
were defined as indistinguishable in colour from background when
placed against a white card (Fig. 1). Other hairs were
considered P.
Statistical Analysis
After checking of our samples for normality of data
distribution, analysis of variance was used for the comparison of W
and P hairs and of P hairs from different subject groups.
Comparison of P and W hairs of similar thickness was made by
selecting hairs to form pairs of P and W hairs each from the same
subject within 10µm bands of thickness. Growth rates were compared
for each thickness band by a paired t-test. p
values < 0.05 were considered as statistically
significant. Study of pigmented hairs only was performed in
different age groups using ANOVA and the descriptive statistics
(average and standard deviation) are given for each variable in a
table.
Results
Comparison of measurements in postmenopausal women with
pigmented and unpigmented hair
Clinical demographics are shown in Table
I. There was no correlation between age, Ludwig category
and distribution of W hairs in the postmenopausal females. W hairs
were expressed more on T sites.
Table I. Demographics of
postmenopausal females
|
Ludwig Category
|
Age |
W Hairs
(%) |
| T Sites |
O Sites |
| I |
50 |
54 |
25 |
| I |
55 |
0 |
0 |
| I |
59 |
85 |
63 |
| I |
62 |
32 |
25 |
| I-II |
55 |
22 |
15 |
| I-II |
62 |
22 |
48 |
| II |
49 |
0 |
0 |
| II |
65 |
0 |
0 |
| II |
65 |
38 |
19 |
| II |
66 |
52 |
53 |
| III |
54 |
0 |
0 |
| III |
62 |
36 |
25 |
This table lists severity of hair loss (Ludwig scale), age and
proportion of white hair (% W hairs) in postmenopausal women.
Although no difference (p > 0.05) was observed
between sites for all hairs (Fig. 2), the average
thickness of W hair for all sites significantly
(p < 0.0001) exceeded that of P hair. Both T and O
sites showed similar differences.
As shown in figure
3, the medulla of W hair for all sites was significantly
(p < 0.0001) more developed than the medulla of P
hair. Medullas in T sites were more developed than O sites
(p < 0.05) but this was restricted to W hair.
Growth rate of W hair was significantly higher than that of P hair
(p < 0.0001; Fig. 4). There was also a
significant variation with scalp site (p < 0.0001).
Interaction between site and colour was significant
(p = 0.0062) with the following rank order
O/W > T/W > O/P > T/P.
As thickness is known to influence growth rate independently of
pigmentation, we analysed in greater detail the effect of hair
pigmentation on hair growth rate for hairs of equal thickness.
Comparison of pairs of P and W hairs of the same thickness range
showed that W hairs grew significantly faster (average 10%
difference in each subgroup; p < 0.001) than P hairs
in the main terminal thickness range of 50-70 µm
(90 paired observations; 34 in the 50-60 µm,
30 in the 60-70 µm and 26 in the 70-80 µm). P
and W hairs displayed similar rates of growth in the thickest hair
(> 80 µm) and thinner hair (< 50 µm)
categories. Thus faster rate in growth rate of W hairs is not
exclusively explained by the average increase in their
thickness.
Comparison of pigmented hairs from young, mature and
postmenopausal females (Fig. 5 and Table II).
Table II. Hair thickness, medulla
and growth rate (mean ± SD) for Young, Mature and
Postmenopausal Females
|
Young |
Mature |
Postmenopausal |
| Number of Subjects |
7 |
5 |
12 |
| Linear Hair Growth (mm/day) |
0.427 ± 0.026 |
0.401 ± 0.052 |
0.357 ± 0.31 |
| Hair Diameter (µm) |
73.69 ± 11.71 |
68.63 ± 5.41 |
59.01 ± 10.08 |
| Medulla Development (%) |
11.5 ± 8.4 |
18.1 ± 8.9 |
13.3 ± 4.9 |
Pigmented hairs of postmenopausal females grew significantly
slower than young (p < 0.05) and mature
(p < 0.05) females. Hair thickness was also less than
young (p < 0.05) and mature (p < 0.05)
females. Medulla development was not significantly different
(p > 0.05) between groups. Combined reduction of
thickness and growth rate will result in a slowing down of hair
production and significantly contribute to hair thinning.
White hairs from postmenopausal females had thickness and growth
rates similar to control subjects but were characterised by a
thicker medulla.
Discussion
The biological importance and/or significance of human hair
colour is unknown even though greying is obviously associated with
ageing. A rule of thumb suggests that 50% of people have 50% of
grey hair by the age of 50 years [7] and premature greying has
been thought to be a potential risk factor for ageing associated
conditions. From a dermatological and clinical perspective, W hairs
show a relative disease resistance in alopecia areata [8]. The
mechanisms by which W hairs are spared these changes are not
understood and may be important for the role of pigmentation and
prognostic value of greying.
Hair growth rate and thickness are known to be interrelated. In
male androgenetic alopecia thinner hair also grows more slowly than
thicker hair [9, 10]. Female body hair after antiandrogen therapy
also thins and shows reduced growth rates [4]. In menopausal
females our data show that the slowing down of growth rates may
also reflect clinical hair thinning. However, for hairs of equal
thickness, this phenomenon also appears to affect more specifically
P scalp hairs. Indeed unpigmented hair of menopausal woman
maintains growth rates found in pigmented hairs in the younger age
groups. To the best of our knowledge, similar studies in scalp hair
of younger and ageing males have not been performed. The biology
requires further investigation as to the regional variability and
the potential influence of androgens or other hormonal factors
responsible for unravelling these regional variations [11].
In this study as well as in a limited observation of male beard
hair [12], we observed a 10% slower rate of pigmented hair growth
as compared pairwise with white hair in the thickness range of
50 to 80 µm. It has been reported that W beard hair may
grow up to three times faster than P hairs [5]. It is not yet clear
whether this far outranging difference is due to whisker or beard
hair cycle differences, to ageing or to some methodological bias.
Taking our measurements into account and supposing that the
thickest white hair (80 µm) was compared with the thinnest
pigmented hair (50 µm) we found a 30% faster growth rate of
white hair; even so this remains far lower than the findings of
Nagl [5].
Our findings are in line with other authors showing that W hairs
were also found thicker and displaying a more developed medulla
[13]. These authors also found increased sensitivity to weathering,
increased cysteic acid residues and decreased cystine and increased
fibre reactivity to reducing and oxidizing agents. Whether these
chemical differences in white hair, probably related in part to the
lack of melanins and to the huge medulla, are also directly
responsible for other white hair biophysical properties
(coarseness, relative resistance to hair setting and colouring), is
not clearly established.
Hair colour significantly affects visibility of hair with
photographic methods [14]. This may have consequences on data
generated during hair loss trials involving balding subjects as
hair thinning is usually associated with less hair pigmentation [9]
even though less pigmented Caucasians are usually excluded from
clinical trials. Using such optical approaches in the investigation
of physiological changes of hairiness or hair growth responses to
drugs in ageing subjects also raises some doubts as some hair may
not be detected at first sight or growth promoters
might – by chance – simply affect hair
pigmentation and incidently make hair more visible to the observer
without modifying any of the growth variables (rate, duration of
anagen, thickness, duration of the lag phase).
Nowadays a high quality contrast enhanced phototrichogram (CE-PTG)
technique as shown in Figure 6 has an equal
resolution power to that of the microscopical method used in the
present study. Our CE-PTG techniques have now been validated for a
detailed analysis of all hair variables including monitoring of all
transitions of the hair growth cycle even when severe thinning
and/or greying hair is present [15, 16]. Clinical trials using such
refined methods would need to be considered seriously even when
previous data did not show significant effects. Indeed a whole
range of biological modifiers may provide investigators with
clinically relevant information and possible therapeutic answers to
recover age related losses of structures and functions that bother
our patients suffering from hair loss. n
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