Integrated targeted serum metabolomic profile and its association with gender, age, disease severity, and pattern identification in acne
Authors:
Min Hee Kim aff001; In Jin Ha aff002; Eunok Kim aff002; Kyuseok Kim aff001
Authors place of work:
Department of Ophthalmology & Otolaryngology & Dermatology, College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea
aff001; Korean Medicine Clinical Trial Center, Kyung Hee University Korean Medicine Hospital, Seoul, Republic of Korea
aff002; College of Korean Medicine, Kyung Hee University, Seoul, Republic of Korea
aff003
Published in the journal:
PLoS ONE 15(1)
Category:
Research Article
doi:
https://doi.org/10.1371/journal.pone.0228074
Summary
Background
Westernized diet and nutritional metabolism are important in acne pathogenesis, especially in adult patients. However, clinical and basic data are lacking. Pattern identification (PI) is a tool that results in a diagnostic conclusion based on a cluster of concurrent symptoms and signs in traditional medicine. Acne can be classified by PI. However, whether the metabolomic profile differs according to the PI of acne is unknown. Metabolomic data would help clarify the pathogenesis of acne.
Methods
We conducted a cross-sectional study involving 40 healthy controls and 60 subjects with acne. We evaluated androgens, serum lipids, essential amino acids, nonessential amino acids, other amino acids, and pro-inflammatory cytokines of all subjects and compared the metabolomic profiles between acne subjects and healthy controls, and in subgroups according to gender, age, severity, and PI.
Results
Dehydroepiandrosterone sulfate and serum fatty acids were significantly higher in female subjects, adolescents, and those with disharmony of the thoroughfare and conception vessels. The total essential and nonessential amino acids were significantly lower in the overall, female, adult, severe, and phlegm-stasis group. The latter group exhibited elevated serum levels of interleukin-1β and -6.
Conclusions
This is the first study to investigate serum lipids, amino acids, and cytokines in subjects with acne. We analyzed the differences between metabolomic profiles to determine the diagnostic value of PI. Prospective studies with more patients are needed to confirm the characteristics of each PI and lipidomic data will enrich knowledge concerning lipid mechanism.
Keywords:
Cytokines – Lipids – Androgens – Metabolomics – lipid metabolism – Amino acid metabolism – Polycystic ovary syndrome – Acne
Introduction
Acne vulgaris is a common chronic inflammatory dermatosis that affects 85% of adolescents and young adults worldwide [1–3]. Increased risk of acne has been described in developed countries compared with developing countries [4], which is closely related with the adoption of a more westernized diet. A recent study reported that acne prevalence in adults is increasing, especially in female subjects [5]. Adult acne or adult female acne is considered as a specific acne subtype distinct from adolescent acne [6]. Diet and nutritional metabolism play key roles in acne pathogenesis, especially in adult patients. However, clinical and basic research data are lacking.
In addition to diet, hormonal abnormalities [7], stress and modern life style [8], smoking [9], environmental factors [10, 11], and genetic predispositions [12, 13] may contribute to acne. The influence of these systemic factors on acne has recently changed the perception of acne as both a site-specific and systemic disease [14]. From this perspective, the development of a tool that classifies acne according to systemic symptoms is needed for the individualized and targeted therapy of acne. Pattern identification (PI) is a tool that results in a diagnostic conclusion based on a cluster of concurrent symptoms and signs in traditional medicine that is based on the themes of holism and individualization [15]. Although standardized diagnostic criteria have not been described in the classic literature, advancements in systems biology and computing techniques have led to progress in the standardization and modernization of PI [16, 17]. A standardization study revealed that acne also can be classified by PI [18]. However, the PI metabolomic profile indicating the difference of pro-inflammatory cytokines in acne is unknown.
Metabolomic analysis would provide more knowledge of the pathogenesis of acne. Thus, the aims of this study were to compare the metabolomic profiles with pro-inflammatory cytokines between acne subjects and healthy controls, and to compare the differences in these metabolomic profiles with pro-inflammatory cytokines in subgroups according to gender, age, severity, and PI.
Materials and methods
Study design
This cross-sectional study was conducted at Kyung Hee University Korean Medicine Hospital (Clinical Research Information Service, Republic of Korea: KCT0002212) [19]. Healthy volunteers and subjects with acne were enrolled at a screening visit and outcomes were measured after one week (Table 1). This study was approved by the institutional review board of Kyung Hee University Korean Medicine Hospital (KOMCIRB-161118-HR-062). Written informed consent was obtained by the investigator from all participants prior to enrollment.
Sample size
This study was not intended to validate the effects of certain interventions on acne, but rather to compare metabolomic profiles with pro-inflammatory cytokines of acne subjects with those of healthy controls. Moreover, in the metabolomic study design, a sample size of three to five subjects per group may provide useful preliminary data [20]. Therefore, in this exploratory study, the number of subjects was set as 40 healthy subjects and 60 acne subjects, which enables the assessment of the differences in biomarkers between healthy individuals and acne subjects, including a respective 95% confidence interval, with sufficient precision according to the size of the metabolite kit, with expert opinions in metabolomics, molecular biology, dermatology, and statistics. The gender ratio in each group was 1:1.
Subjects
The inclusion criteria for acne group were as follows: (1) age 19–35 years, (2) body mass index (BMI) 18.5 to 23 kg/m2, and (3) voluntary participation in this clinical trial. The inclusion criteria for the control group were as follows: (1) age 19–35 years, (2) BMI 18.5 to 23 kg/m2, (3) no evidence of acne, (4) (only for female subjects) regular menstrual cycle during the last 3 months, (5) no digestive-related uncomfortable symptoms in usual situations, (6) no abdominal muscle tension, (7) other disorders that may affect the outcomes, and (8) voluntary participation in this clinical trial. The exclusion criteria for both groups were: (1) use of oral steroids, oral contraceptives, oral vitamin A derivatives, antibiotics, or herbal medicines that may affect the test results during the last 4 weeks, (2) no fasting for more than 8 hours after 9:00 pm on the day before the visit, (3) consumption of alcohol in the preceding week, (4) smoking, (5) pregnancy or lactation, (6) previously diagnosed with polycystic ovary syndrome (PCOS), (7) judgment that physical or mental testing is not appropriate for the clinical trial, and (8) participation in other clinical trials that might affect this trial.
Outcome
Metabolomic profiles with pro-inflammatory cytokines
We evaluated two androgens (dehydroepiandrosterone sulfate [DHEA-S] and testosterone), serum lipids, six essential amino acids (EAAs), seven nonessential amino acids (NEAAs), three other amino acids (AAs), and eight pro-inflammatory cytokines in all subjects. More information about profiling methods are presented in a previously published protocol study [19]. Subjects in each group were divided into two groups: adolescent acne (age ≤25 years) and adult acne (age >25 years) [21].
PI
The assessor fulfilled the inventory for PI of acne, which is based on weighted scoring system (see S1 Table) after diagnosis of each subject [18]. After completing the questionnaire, subjects were classified into Wind-Heat (WH), Dampness-Heat (DH), Phlegm-Stasis (PS), and Disharmony of the thoroughfare and conception vessels (DTCV) pattern based on body and acne conditions (Table 2). The DTCV acne group included only female subjects, since the diagnosis is related to the menstrual cycle. Therefore, values of the DTCV acne group were compared with those of female subjects in the control group. Values of female subjects in the other PI groups were also compared with those of female subjects in the control group, to assess whether the characteristics of the female subjects in the DTCV group differed from other female subjects with acne.
Disease severity
Acne severity was defined in accordance with the Korean Acne Grading System. The grade ranged from 1 to 6, where 1 = ≤ 10 papules, 2 = 11–30 papules, 3 = ≥ 31 papules; ≤ 10 nodules, 4 = 11–20 ± mild ongoing scars, 5 = 21–30 nodules ± moderate ongoing scars, and 6 = ≥ 31 nodules ± severe ongoing scars ± sinus tract (papule; acne < 5 mm, nodule; acne > 5 mm) [22]. Subjects were divided into two groups: mild acne (grade 1–3) and severe acne (grade 4–6)
Skin assessments
Skin assessments for skin temperature, skin stiffness (cutaneous resonance running time), and sebum levels were performed on the both facial cheeks using a model ST500 skin thermometer, model RVM600 reviscometer, and model SM815 sebumeter SM815 (all from Courage + Khazaka Electronic GmbH, Kern, Germany), respectively [23, 24]. The assessments were performed three times and average values were used. The assessments were performed under strictly controlled conditions with a room temperature of 22 ± 2°C and a relative humidity of 50 ± 10% and after the resting period of approximately 30 min.
Statistical analyses
All statistical analyses were performed using SPSS 21 software (IBM Inc., Armonk, NY, USA). Data are presented as means ± standard deviations for continuous data or number (n) for categorical data. The baseline characteristics were compared by an independent t test for continuous values and chi-square test for categorical values. An independent t test was performed for the comparison of continuous data between the healthy subjects and acne subjects and subanalyses according to gender, age, and PI. Analysis of covariance was performed for the comparison according to severity (controls vs. mild vs. severe), after adjustment for gender. Tukey's HSD post-hoc test was used to determine which groups differed from each other. In all tests, a p-value < 0.05 was considered statistically significant.
Results
Subjects
From May 2017 to November 2017, a total of 40 healthy volunteers and 60 of acne subjects were included in this study. There were no significant differences in BMI, gender, smoking, alcohol consumption, sleep time, stress level, dietary habits, and skin assessment between two groups. A difference was evident for age (Table 3).
Comparison of metabolomic profiles with pro-inflammatory cytokines between groups, and gender and age subgroup analysis
Overall
No significant differences were observed in the androgens and cytokines. Serum lipids and linoleic acids were significantly higher in the acne group. In the acne group three EAAs, two NEAAs, sum of EAAs, and sum of NEAAs were significantly lower, while two NEAAs and one of the other AAs were significantly higher (Table 4 and Fig 1).
Male subgroup
No significant differences were noted in androgens, serum lipids, EAAs, and cytokines. Two NEAAs and sum of NEAAs were significantly lower in the acne group (Table 4 and Fig 1).
Female subgroup
No significant differences were found in the cytokines. Among androgens, DHEA-S, and among serum lipids, palmitic acid were significantly higher in the acne group. Three EAAs and sum of EAAs were significantly lower, while one NEAA and one of the other AAs were significantly higher in the acne group (Table 4 and Fig 1).
Adolescent subgroup
No significant differences were observed in EAAs and cytokines. Among androgens, DHEA-S, and among serum lipids, linoleic and oleic acids, were significantly higher in the acne group. One NEAA was significantly lower in the acne group (Table 4 and Fig 1).
Adult subgroup
No significant differences were found in androgens, serum lipids, and cytokines. Five EAAs, two NEAA, sum of EAAs, and sum of NEAAs significantly lower, while two NEAAs were significantly higher in the acne group (Table 4 and Fig 1).
Comparison of metabolomic profiles with pro-inflammatory cytokines according to disease severity
No significant differences were found in androgens and cytokines. Among serum lipids, linoleic acids were significantly higher in the mild group than in the control group. One EAA and one NEAA were significantly lower in the mild group than in the control group. One EAA, one NEAA, sum of EAAs, and sum of NEAAs were significantly lower, while two NEAAs and one of the other AAs, were significantly higher in the severe group than in the control group (Table 5 and Fig 2).
Comparison of serum metabolites and pro-inflammatory cytokines according to PI
Wind-heat
No significant differences were noted in androgens, serum lipids, and cytokines. One NEAA and one of the other AAs were significantly higher in the WH acne group than in the control group (Table 5 and Fig 2).
Dampness-heat
No significant differences were noted in androgens, serum lipids, and cytokines. Three EAAs and one NEAA were significantly lower in the DH acne group than in the control group (Table 5 and Fig 2).
Phlegm-stasis
Subjects with severe acne symptoms displayed no significant differences in androgens. Among serum lipids, cholesterol was significantly lower in the PS acne group than in the control group. Two EAAs, three NEAA, and sum of NEAAs were significantly lower, while one EAA, three NEAAs, and one of the other AAs were significantly higher in the PS acne group than in the control group. Among cytokines, interleukin (IL)-1β and IL-6 were significantly higher in the PS acne group than in the control group (Table 5 and Fig 2).
Disharmony of the thoroughfare and conception vessels
Among androgens, DHEA-S was significantly higher in the DTCV acne group than in the female subjects of the control group, while no significant differences were observed among the female subjects in other PI groups. Among serum lipids, palmitic acid was significantly higher in the DTCV acne group than in the female subjects of the control group, while no significant differences were observed among the female subjects of other PI groups. Among EAAs, isoleucine, tryptophan, and sum of EAAs were significantly lower in the DTCV acne group than in the female subjects of the control group. Isoleucine, phenylalanine, and sum of EAAs were significantly lower in the female subjects in other PI groups than in those of the control group. Among NEAAs, sarcosine was significantly higher in the female subjects of other PI groups and hydroxyproline was significantly higher in the DTCV acne group than in the female subjects of the control group. Among cytokines, IL-15 was decreased in the DTCV acne group, while IL-1β was increased in the female subjects in the other PI groups compared with the control group (Table 5 and Fig 2).
Discussion
Acne vulgaris has been suggested to be closely related with mammalian target of rapamycin complex 1 (mTORC-1) driven metabolic diseases [25], which include obesity [26], type 2 diabetes mellitus [2], and cancer [27]. Western diet, which is characterized by the high intake of hyperglycemic carbohydrates and dairy products, increases insulin and insulin-like growth factor-1 (IGF-1) [28, 29], and promotes mTORC-1 signaling, the key regulator of anabolism and lipogenesis [30, 31]. mTORC-1 activation induces hyperseborrhea and hyperkeratinization of the pilosebaceous duct by stimulating androgens, and dysseborrhea by changing the proportion of free fatty acids (FFAs) in sebum. IGF-1 induces pro-inflammatory cytokine expression in sebocytes by activating the nuclear factor-kappa B pathway [25].
In this study, DHEA-S was elevated only in female subjects and adolescents with acne. DHEA-S was not elevated in the overall subjects, male subjects, and adults with acne. Previous studies reported that the rise in DHEA-S correlates with the onset of acne in children, and higher levels of DHEA-S are found at puberty in girls with acne than in those without acne [32]. Subjects with the highest levels of DHEA-S develop the most severe acne among adolescent girls [33]. Hormonal factors are also important in adult acne. It was reported that 62% of adult women with acne experience worsening of their acne in the days before menstruation [34]. However, the majority of adult acne subjects have normal androgen levels in the absence of PCOS, congenital adrenal hyperplasia, and adrenal or ovarian tumors [35]. This suggests that initiation of acne symptoms is induced with elevated androgens in puberty, especially in girls, and with the persistent progression of acne into adulthood; hormonal receptors expressed by both sebocytes and keratinocytes may be more sensitive to low levels of androgens [35, 36]. Meanwhile, only female subjects in the DTCV group displayed elevated DHEA-S compared with those in the control group, despite the larger proportion of subjects with mild symptoms. The DTCV pattern displayed a weighted value for the effect of the menstrual cycle concerning the worsening of acne, menstrual irregularity, and pain in the lower abdomen (See S1 Table). Among these symptoms, menstrual irregularity is the most representative symptom of PCOS. Although we excluded subjects with previously diagnosed PCOS and obese subjects during enrollment, subjects with undiagnosed PCOS may not have been fully excluded, since PCOS is a common but often undiagnosed condition [37]. Therefore, many female patients with undiagnosed PCOS visit dermatological clinics to treat their acne. Dietary correction and hormonal therapy are more helpful for patients with PCOS. However, hormonal testing is not frequently performed due to its cost and inconvenience of blood collection. Therefore, determining the PI pattern after the completion of a single questionnaire may improve the clinical efficiency of treatment for female patients.
Several studies have reported quantitative changes of sebum (hyperseborrea) and qualitative modifications of sebum (dysseborrhea) with higher amounts of FFA in skin affected by acne [38–40]. Elevated IGF-1 and insulin that is mediated by western diet increases sebaceous gland growth and sebaceous lipogenesis, which causes hyper- and dysseborrhea in acne patients [25]. Concerning serum lipids, acne patients frequently display abnormal lipid profiles, including total cholesterol, triglyceride, low density lipoprotein cholesterol, and lipoprotein [41, 42]. The present study is the first to evaluate serum FFAs in patients with acne. The data are consistent with the observation of elevated FFAs in insulin resistant subjects [43], and the increases of linoleic acids (polyunsaturated FFA), oleic acids (monounsaturated FFA), and palmitic acids (saturated FFA) in acne subjects. These findings indicate that serum FFAs as well as sebum FFAs are elevated in patients with acne. Consistent with results for DHEA-S, FFAs were elevated only in female subjects and adolescents, not in the male subjects and adults. Androgens stimulate lipid synthesis [44], and the upregulation of androgens and serum lipids affects acne in female subjects and adolescents. Additional lipidomics data are needed to clarify the lipid mechanism in acne subjects.
No studies have reported the profile of serum AAs in acne. In this study, sum of EAAs and NEAAs were decreased in the overall, female, adult, severe acne, and PS acne subgroups. The PS group had weighed value for inflammatory lesion, pustule, cyst, nodule, and pigmentation (see S1 Table). Consistent with our observations, decreases in serum AAs have been described for several chronic inflammatory disorders, including rheumatoid arthritis, inflammatory bowel disease, and chronic kidney disease [45–47]. Concerning dermatology, AAs chelate calcium ions and stimulate exfoliation of the stratum corneum, accelerating the turnover of the stratum corneum [48]. Therefore, decreased serum levels of AAs may induce hyperkeratinization, one of the four major factors of acne. However, topical exfoliating therapies can have a negative impact on the barrier functions by increasing transepidermal water loss [49]. Our findings indicate that AAs may be efficiently used to improve skin affected by acne, especially in adults, females, and those with severe acne.
IGF-1 and Cutibacterium acnes are the most important factors that induce an inflammatory response in acne. A recent study of biopsy samples from acne subjects showed that expression of pro-inflammatory cytokines is upregulated after stimulation of IGF-1 [50, 51]. C. acnes induces production of local pro-inflammatory cytokines, including IL-1β, IL-8, IL-12 and tumor necrosis factor-alpha (TNF-α) via a Toll-like receptor 2 dependent mechanism [52, 53]. The present study is the first to evaluate the serum levels of IL-1α, IL-1β, IL-6, IL-8, IL-12β, IL-15, TNF-α, and granulocyte-macrophage colony-stimulating factor in acne subjects compared with the levels in healthy controls. No significant differences were observed in the acne group and all subgroups, including the severe acne subgroup. However, the PS group, which had weighted values for inflammatory lesions, pustules, cysts, nodules, and pigmentation (see S1 Table), exhibited elevated serum levels of IL-1β and IL-6. This suggests that IGF-1 and C. acnes activate local inflammation in skin lesions. However, the systematic impact may not be significant, except in patients who develop many inflammatory lesions.
There are several limitations to this study. First, 60 acne subjects were divided into four PI groups. The number of subjects in each PI group may not have been large enough to obtain statistical significance. Secondly, acne subjects with undiagnosed PCOS may not have been fully excluded, and this could have biased the analysis of female subjects. Nevertheless, in the real world, blood or ultrasound tests are not frequently performed for patients. Therefore, including subjects with undiagnosed PCOS could better reflect actual clinical practice.
This is the first study to investigate serum lipids, AAs, and cytokines in subjects with acne. As an exploratory study, additional dedicated studies are needed to confirm the results. Prospective studies with more patients are needed to confirm the characteristics of each PIs, and future studies that provide more lipidomics data may clarify the lipid mechanism.
Supporting information
S1 Table [doc]
Pattern diagnosis inventory of acne.
Zdroje
1. Burris J, Rietkerk W, Woolf K. Acne: the role of medical nutrition therapy. J Acad Nutr Diet. 2013;113(3):416–30. Epub 2013/02/27. doi: 10.1016/j.jand.2012.11.016 23438493.
2. Cerman AA, Aktas E, Altunay IK, Arici JE, Tulunay A, Ozturk FY. Dietary glycemic factors, insulin resistance, and adiponectin levels in acne vulgaris. J Am Acad Dermatol. 2016;75(1):155–62. Epub 2016/04/12. doi: 10.1016/j.jaad.2016.02.1220 27061046.
3. Melnik BC. Evidence for acne-promoting effects of milk and other insulinotropic dairy products. Nestle Nutr Workshop Ser Pediatr Program. 2011;67:131–45. Epub 2011/02/22. doi: 10.1159/000325580 21335995.
4. Lynn DD, Umari T, Dunnick CA, Dellavalle RP. The epidemiology of acne vulgaris in late adolescence. Adolesc Health Med Ther. 2016;7:13–25. Epub 2016/03/10. doi: 10.2147/AHMT.S55832 26955297; PubMed Central PMCID: PMC4769025.
5. Holzmann R, Shakery K. Postadolescent acne in females. Skin Pharmacol Physiol. 2014;27 Suppl 1:3–8. Epub 2013/12/07. doi: 10.1159/000354887 24280643.
6. Dreno B. Treatment of adult female acne: a new challenge. J Eur Acad Dermatol Venereol. 2015;29 Suppl 5:14–9. Epub 2015/06/11. doi: 10.1111/jdv.13188 26059821.
7. Ju Q, Tao T, Hu T, Karadag AS, Al-Khuzaei S, Chen W. Sex hormones and acne. Clin Dermatol. 2017;35(2):130–7. Epub 2017/03/10. doi: 10.1016/j.clindermatol.2016.10.004 28274349.
8. Albuquerque RG, Rocha MA, Bagatin E, Tufik S, Andersen ML. Could adult female acne be associated with modern life? Arch Dermatol Res. 2014;306(8):683–8. Epub 2014/06/22. doi: 10.1007/s00403-014-1482-6 24952024.
9. Wolkenstein P, Misery L, Amici JM, Maghia R, Branchoux S, Cazeau C, et al. Smoking and dietary factors associated with moderate-to-severe acne in French adolescents and young adults: results of a survey using a representative sample. Dermatology. 2015;230(1):34–9. Epub 2014/11/22. doi: 10.1159/000366195 25413494.
10. Valeyrie-Allanore L, Sassolas B, Roujeau JC. Drug-induced skin, nail and hair disorders. Drug Saf. 2007;30(11):1011–30. Epub 2007/11/02. doi: 10.2165/00002018-200730110-00003 17973540.
11. Ju Q, Fimmel S, Hinz N, Stahlmann R, Xia L, Zouboulis CC. 2,3,7,8-Tetrachlorodibenzo-p-dioxin alters sebaceous gland cell differentiation in vitro. Exp Dermatol. 2011;20(4):320–5. Epub 2011/03/18. doi: 10.1111/j.1600-0625.2010.01204.x 21410761.
12. Evans DM, Kirk KM, Nyholt DR, Novac C, Martin NG. Teenage acne is influenced by genetic factors. Br J Dermatol. 2005;152(3):579–81. Epub 2005/03/25. doi: 10.1111/j.1365-2133.2005.06387.x 15787839.
13. Szabo K, Kemeny L. Studying the genetic predisposing factors in the pathogenesis of acne vulgaris. Hum Immunol. 2011;72(9):766–73. Epub 2011/06/15. doi: 10.1016/j.humimm.2011.05.012 21669244.
14. Zouboulis CC. Acne as a chronic systemic disease. Clin Dermatol. 2014;32(3):389–96. Epub 2014/04/29. doi: 10.1016/j.clindermatol.2013.11.005 24767186.
15. Organization WH. WHO International Standard Terminologies on Traditional Medicine in the Western Pacific Region: World Health Organization; 2007.
16. Lian F, Wu HC, Sun ZG, Guo Y, Shi L, Xue MY. Effects of Liuwei Dihuang Granule ([symbols; see text]) on the outcomes of in vitro fertilization pre-embryo transfer in infertility women with Kidney-yin deficiency syndrome and the proteome expressions in the follicular fluid. Chin J Integr Med. 2014;20(7):503–9. Epub 2014/04/10. doi: 10.1007/s11655-014-1712-y 24715425.
17. Wang Y, Chuo WJ, Li C, Guo SZ, Chen JX, Yu JD, et al. Energy metabolism disorder and myocardial injury in chronic myocardial ischemia with Qi deficiency and blood stasis syndrome based on 2-DE proteomics. Chin J Integr Med. 2013;19(8):616–20. Epub 2012/12/06. doi: 10.1007/s11655-012-1230-8 23212566.
18. Shin J-H, Jeong W-Y, Moon Y-K, Nam H-J, Kim Y-B, Lee J-H, et al. An Expert Survey for Developing the Pattern Diagnosis Instrument of Acne. The Journal of Korean Medicine Ophthalmology and Otolaryngology and Dermatology. 2015;28(2):23–32. doi: 10.6114/jkood.2015.28.2.023
19. Kim K, Ha I, Kim E, Kim K. A comparative study of biological and metabolic biomarkers between healthy individuals and patients with acne vulgaris: A cross-sectional study protocol. Medicine (Baltimore). 2017;96(45):e8554. Epub 2017/11/16. doi: 10.1097/MD.0000000000008554 29137071; PubMed Central PMCID: PMC5690764.
20. Barnes S, Benton HP, Casazza K, Cooper SJ, Cui X, Du X, et al. Training in metabolomics research. I. Designing the experiment, collecting and extracting samples and generating metabolomics data. J Mass Spectrom. 2016;51(7):ii–iii. Epub 2016/07/21. doi: 10.1002/jms.3672 27434812.
21. Skroza N, Tolino E, Mambrin A, Zuber S, Balduzzi V, Marchesiello A, et al. Adult Acne Versus Adolescent Acne: A Retrospective Study of 1,167 Patients. J Clin Aesthet Dermatol. 2018;11(1):21–5. Epub 2018/02/08. 29410726; PubMed Central PMCID: PMC5788264.
22. Sung K RY, Choi E, et al. Korean acne grading system. Korean J Dermatol. 2004;42:1241–7.
23. Rodrigues L, Eemco. EEMCO guidance to the in vivo assessment of tensile functional properties of the skin. Part 2: instrumentation and test modes. Skin Pharmacol Appl Skin Physiol. 2001;14(1):52–67. Epub 2001/02/15. doi: 10.1159/000056334 11174091.
24. Firooz A, Sadr B, Babakoohi S, Sarraf-Yazdy M, Fanian F, Kazerouni-Timsar A, et al. Variation of biophysical parameters of the skin with age, gender, and body region. ScientificWorldJournal. 2012;2012:386936. Epub 2012/04/27. doi: 10.1100/2012/386936 22536139; PubMed Central PMCID: PMC3317612.
25. Melnik BC. Acne vulgaris: The metabolic syndrome of the pilosebaceous follicle. Clin Dermatol. 2018;36(1):29–40. Epub 2017/12/16. doi: 10.1016/j.clindermatol.2017.09.006 29241749.
26. Seleit I, Bakry OA, Abdou AG, Hashim A. Body mass index, selected dietary factors, and acne severity: are they related to in situ expression of insulin-like growth factor-1? Anal Quant Cytopathol Histpathol. 2014;36(5):267–78. Epub 2015/03/26. 25803999.
27. Zhang M, Qureshi AA, Fortner RT, Hankinson SE, Wei Q, Wang LE, et al. Teenage acne and cancer risk in US women: A prospective cohort study. Cancer. 2015;121(10):1681–7. Epub 2015/01/13. doi: 10.1002/cncr.29216 25572604; PubMed Central PMCID: PMC4424088.
28. Melnik BC, John SM, Schmitz G. Over-stimulation of insulin/IGF-1 signaling by western diet may promote diseases of civilization: lessons learnt from laron syndrome. Nutr Metab (Lond). 2011;8:41. Epub 2011/06/28. doi: 10.1186/1743-7075-8-41 21699736; PubMed Central PMCID: PMC3141390.
29. Melnik B. Dietary intervention in acne: Attenuation of increased mTORC1 signaling promoted by Western diet. Dermatoendocrinol. 2012;4(1):20–32. Epub 2012/08/08. doi: 10.4161/derm.19828 22870349; PubMed Central PMCID: PMC3408989.
30. Ricoult SJ, Manning BD. The multifaceted role of mTORC1 in the control of lipid metabolism. EMBO Rep. 2013;14(3):242–51. Epub 2013/02/13. doi: 10.1038/embor.2013.5 23399656; PubMed Central PMCID: PMC3589096.
31. Chantranupong L, Wolfson RL, Sabatini DM. Nutrient-sensing mechanisms across evolution. Cell. 2015;161(1):67–83. Epub 2015/03/31. doi: 10.1016/j.cell.2015.02.041 25815986; PubMed Central PMCID: PMC4384161.
32. Lucky AW, Biro FM, Huster GA, Leach AD, Morrison JA, Ratterman J. Acne vulgaris in premenarchal girls. An early sign of puberty associated with rising levels of dehydroepiandrosterone. Arch Dermatol. 1994;130(3):308–14. Epub 1994/03/01. doi: 10.1001/archderm.130.3.308 8129408.
33. Lucky AW, Biro FM, Simbartl LA, Morrison JA, Sorg NW. Predictors of severity of acne vulgaris in young adolescent girls: results of a five-year longitudinal study. J Pediatr. 1997;130(1):30–9. Epub 1997/01/01. doi: 10.1016/s0022-3476(97)70307-x 9003848.
34. Collier CN, Harper JC, Cafardi JA, Cantrell WC, Wang W, Foster KW, et al. The prevalence of acne in adults 20 years and older. J Am Acad Dermatol. 2008;58(1):56–9. Epub 2007/10/20. doi: 10.1016/j.jaad.2007.06.045 17945383.
35. Williams C, Layton AM. Persistent acne in women: implications for the patient and for therapy. Am J Clin Dermatol. 2006;7(5):281–90. Epub 2006/09/30. doi: 10.2165/00128071-200607050-00002 17007539.
36. Preneau S, Dreno B. Female acne—a different subtype of teenager acne? J Eur Acad Dermatol Venereol. 2012;26(3):277–82. Epub 2011/08/19. doi: 10.1111/j.1468-3083.2011.04214.x 21848892.
37. Sharif E, Rahman S, Zia Y, Rizk NM. The frequency of polycystic ovary syndrome in young reproductive females in Qatar. Int J Womens Health. 2017;9:1–10. Epub 2016/12/30. doi: 10.2147/IJWH.S120027 28031728; PubMed Central PMCID: PMC5179205.
38. Zhou M, Gan Y, He C, Chen Z, Jia Y. Lipidomics reveals skin surface lipid abnormity in acne in young men. Br J Dermatol. 2018;179(3):732–40. Epub 2018/04/07. doi: 10.1111/bjd.16655 29624645.
39. Camera E, Ludovici M, Tortorella S, Sinagra JL, Capitanio B, Goracci L, et al. Use of lipidomics to investigate sebum dysfunction in juvenile acne. J Lipid Res. 2016;57(6):1051–8. Epub 2016/04/30. doi: 10.1194/jlr.M067942 27127078; PubMed Central PMCID: PMC4878189.
40. Zouboulis CC, Jourdan E, Picardo M. Acne is an inflammatory disease and alterations of sebum composition initiate acne lesions. J Eur Acad Dermatol Venereol. 2014;28(5):527–32. Epub 2013/10/19. doi: 10.1111/jdv.12298 24134468.
41. Arora MK, Seth S, Dayal S, Trehan AS, Seth M. Serum lipid profile in female patients with severe acne vulgaris. Clin Lab. 2014;60(7):1201–5. Epub 2014/08/20. doi: 10.7754/clin.lab.2013.120811 25134390.
42. Jiang H, Li CY, Zhou L, Lu B, Lin Y, Huang X, et al. Acne patients frequently associated with abnormal plasma lipid profile. J Dermatol. 2015;42(3):296–9. Epub 2015/02/03. doi: 10.1111/1346-8138.12761 25639454.
43. Newgard CB, An J, Bain JR, Muehlbauer MJ, Stevens RD, Lien LF, et al. A branched-chain amino acid-related metabolic signature that differentiates obese and lean humans and contributes to insulin resistance. Cell Metab. 2009;9(4):311–26. Epub 2009/04/10. doi: 10.1016/j.cmet.2009.02.002 19356713; PubMed Central PMCID: PMC3640280.
44. Cong TX, Hao D, Wen X, Li XH, He G, Jiang X. From pathogenesis of acne vulgaris to anti-acne agents. Arch Dermatol Res. 2019;311(5):337–49. Epub 2019/03/13. doi: 10.1007/s00403-019-01908-x 30859308.
45. Hisamatsu T, Okamoto S, Hashimoto M, Muramatsu T, Andou A, Uo M, et al. Novel, objective, multivariate biomarkers composed of plasma amino acid profiles for the diagnosis and assessment of inflammatory bowel disease. PLoS One. 2012;7(1):e31131. Epub 2012/02/04. doi: 10.1371/journal.pone.0031131 22303484; PubMed Central PMCID: PMC3269436.
46. Gerber DA. Low free serum histidine concentration in rheumatoid arthritis. A measure of disease activity. J Clin Invest. 1975;55(6):1164–73. Epub 1975/06/01. doi: 10.1172/JCI108033 1079527; PubMed Central PMCID: PMC301869.
47. Watanabe M, Suliman ME, Qureshi AR, Garcia-Lopez E, Barany P, Heimburger O, et al. Consequences of low plasma histidine in chronic kidney disease patients: associations with inflammation, oxidative stress, and mortality. Am J Clin Nutr. 2008;87(6):1860–6. Epub 2008/06/11. doi: 10.1093/ajcn/87.6.1860 18541578.
48. Kim JH, Ahn B, Choi SG, In S, Goh AR, Park SG, et al. Amino acids disrupt calcium-dependent adhesion of stratum corneum. PLoS One. 2019;14(4):e0215244. Epub 2019/04/17. doi: 10.1371/journal.pone.0215244 30990830.
49. Weber SU, Thiele JJ, Han N, Luu C, Valacchi G, Weber S, et al. Topical alpha-tocotrienol supplementation inhibits lipid peroxidation but fails to mitigate increased transepidermal water loss after benzoyl peroxide treatment of human skin. Free Radic Biol Med. 2003;34(2):170–6. Epub 2003/01/11. doi: 10.1016/s0891-5849(02)01187-5 12521598.
50. Im M, Kim SY, Sohn KC, Choi DK, Lee Y, Seo YJ, et al. Epigallocatechin-3-gallate suppresses IGF-I-induced lipogenesis and cytokine expression in SZ95 sebocytes. J Invest Dermatol. 2012;132(12):2700–8. Epub 2012/07/06. doi: 10.1038/jid.2012.202 22763784.
51. Kim H, Moon SY, Sohn MY, Lee WJ. Insulin-Like Growth Factor-1 Increases the Expression of Inflammatory Biomarkers and Sebum Production in Cultured Sebocytes. Ann Dermatol. 2017;29(1):20–5. Epub 2017/02/23. doi: 10.5021/ad.2017.29.1.20 28223742; PubMed Central PMCID: PMC5318522.
52. Kim J. Review of the innate immune response in acne vulgaris: activation of Toll-like receptor 2 in acne triggers inflammatory cytokine responses. Dermatology. 2005;211(3):193–8. Epub 2005/10/06. doi: 10.1159/000087011 16205063.
53. Nagy I, Pivarcsi A, Kis K, Koreck A, Bodai L, McDowell A, et al. Propionibacterium acnes and lipopolysaccharide induce the expression of antimicrobial peptides and proinflammatory cytokines/chemokines in human sebocytes. Microbes Infect. 2006;8(8):2195–205. Epub 2006/06/27. doi: 10.1016/j.micinf.2006.04.001 16797202.
Článek vyšel v časopise
PLOS One
2020 Číslo 1
- Řekněte mi, co jíte, a já vám řeknu, jaká je úroveň vaší kognice
- Původní český test ALBA pro odhalení mírných kognitivních deficitů získal certifikaci MZ ČR
- Duševní onemocnění se u teenagerů přenáší v rámci školní třídy
- Od kostiček k lidské kůži. Jak si postavit 3D biotiskárnu?
- Prof. Libor Grubhoffer: Nová varianta mpox je příležitostí pokročit v poznání původce varioly
Nejčtenější v tomto čísle
- Severity of misophonia symptoms is associated with worse cognitive control when exposed to misophonia trigger sounds
- Chemical analysis of snus products from the United States and northern Europe
- Calcium dobesilate reduces VEGF signaling by interfering with heparan sulfate binding site and protects from vascular complications in diabetic mice
- Effect of Lactobacillus acidophilus D2/CSL (CECT 4529) supplementation in drinking water on chicken crop and caeca microbiome