ABSTRACTBackground : Acne vulgaris is a
common skin disease, affecting more than 85% of
adolescents and often continuing into adulthood.
People between 11 and 30 years of age and up to
5% of older adults. For most patients acne remains
a nuisance with occasional flares of unsightly
comedones, pustules and nodules. For other less
fortunate persons, the sever inflammatory response
to Propionibacterium acnes (P.acnes) results in
permanent
Methods: Disfiguring scars. (1, 2) Stigmata of sever
acne cane lead to social ostracism, withdrawal
from society and severe psychologic
depression (1-4).
Result Pathogenesis of acne Traditionally, acne
has been thought of as a multifactorial disease of
the folliculosebaceous unit, involving excess
sebum production, abnormal follicular
hyperkeratinization, overgrowth of
Propionibacterium acnes, and inflammation (Fig
2). Recent laboratory and clinical investigations
into the roles of the innate immune system and
extracellular matrix remodeling proteins have shed
additional light on this pathogenetic process (5-7).
Role of androgens: Activity of type 1 5areductase
enzyme was shown to predominate in
human sebaceous glands and epidermis. This
enzyme is responsible for the conversion of
testosterone to the more potent androgen,
dihydrotestosterone (DHT). DHT in turn is thought
to mediate androgen dependent skin diseases such
as acne, hirsutism and androgenetic alopecia (13)
The enzyme 5a-reductase type 1 has been studied
in those with and without acne and it has been
hypothesized that those with acne might have more
active 5a-reductase type 1 .(2)
Conclusion : The prominent role of hormones in
the pathophysiology of acne has long been
recognized and corroborated by clinical and
experimental observations and therapeutic
experience (14). Although acne is not considered a
primary endocrine disorder, androgens, such as
dihydrotestosterone, dehydroepiandrosterone
sulfate, and testosterone, and growth hormone and
insulin-like growth factors, have all been
implicated in the pathogenesis of acne (15).
Corresponding address to :
Dr. Yasir Mansour Mohamed Al-Ani
Islam Mohammad Nabil El Helou
Urinary tract infection is a bacterial infection that often affects the bladder and thus the urinary system. E. coli is one of the leading uropathogenic bacteria that cause urinary tract infections. Uropathogenic E. coli is highly effective and successful in causing urinary tract infections through biofilm formation and urothelial cell invasion mechanisms. Other organisms that cause urinary tract infections include members of the Enterobacteriaceae family, streptococci and staphylococci species and perch. In addition, K.penumoniae is another important gram-negative bacterium that causes urinary tract infections. With the PCR technique, unseen bacterial species can be detected using standard clinical microbiology methods. In this study, the
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There is no statistically significant difference at (0.05) level of significance between the average grades of the students participating in the training program according to the knowledge economy and the average grades of the students who did not participate in the training program in the test of productive thinking. The study sample consisted of (288) second intermediate grade students divided into (152) for the control group
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This research investigated the effect of adding two groups of reinforcement materials, including bioactive materials Hydroxyapatite (HA) and halloysite nanoclay and bioinert materials Alumina (AL2O3) and Zirconia (ZrO2), each of them with various weight ratios (1,2,3,4 &5)% to the polymer matrix PMMA. The best ratios were selected, and then a hybrid was preparing Composite red from the best ratios from each group. Thermal properties, including thermal conductivity and Thermomechanical Analysis (TMA) technology, have been studied. The results showed that adding 3% Hydroxyapatite (HA) and 5% halloysite nanoclay to the polymethacrylate (PMMA) mer leads to an increase in thermal conductivity. It was also found from the Thermomechanical Analysis
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Was conducted to compare the two methods above and it became clear by comparing the logistic regression model best of a Linear Discriminant function written
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