Literature DB >> 28133512

Phototoxicity Evaluation of Pharmaceutical Substances with a Reactive Oxygen Species Assay Using Ultraviolet A.

Yong Sun Lee1, Jung-Sun Yi1, Hye Rim Lim2, Tae Sung Kim1, Il Young Ahn1, Kyungyuk Ko1, JooHwan Kim1, Hye-Kyung Park3, Soo Jung Sohn4, Jong Kwon Lee1.   

Abstract

With ultraviolet and visible light exposure, some pharmaceutical substances applied systemically or topically may cause phototoxic skin irritation. The major factor in phototoxicity is the generation of reactive oxygen species (ROS) such as singlet oxygen and superoxide anion that cause oxidative damage to DNA, lipids and proteins. Thus, measuring the generation of ROS can predict the phototoxic potential of a given substance indirectly. For this reason, a standard ROS assay (ROS assay) was developed and validated and provides an alternative method for phototoxicity evaluation. However, negative substances are over-predicted by the assay. Except for ultraviolet A (UVA), other UV ranges are not a major factor in causing phototoxicity and may lead to incorrect labeling of some non-phototoxic substances as being phototoxic in the ROS assay when using a solar simulator. A UVA stimulator is also widely used to evaluate phototoxicity in various test substances. Consequently, we identified the applicability of a UVA simulator to the ROS assay for photoreactivity. In this study, we tested 60 pharmaceutical substances including 50 phototoxins and 10 non-phototoxins to predict their phototoxic potential via the ROS assay with a UVA simulator. Following the ROS protocol, all test substances were dissolved in dimethyl sulfoxide or sodium phosphate buffer. The final concentration of the test solutions in the reaction mixture was 20 to 200 μM. The exposure was with 2.0~2.2 mW/cm2 irradiance and optimization for a relevant dose of UVA was performed. The generation of ROS was compared before and after UVA exposure and was measured by a microplate spectrophotometer. Sensitivity and specificity values were 85.7% and 100.0% respectively, and the accuracy was 88.1%. From this analysis, the ROS assay with a UVA simulator is suitable for testing the photoreactivity and estimating the phototoxic potential of various test pharmaceutical substances.

Entities:  

Keywords:  Alternative testing method; Photoreactivity; Photosafety screening; Phototoxicity; Reactive oxygen species; Ultraviolet A

Year:  2017        PMID: 28133512      PMCID: PMC5266373          DOI: 10.5487/TR.2017.33.1.043

Source DB:  PubMed          Journal:  Toxicol Res        ISSN: 1976-8257


INTRODUCTION

Phototoxicity is an acute light-induced skin irritation when photoreactive chemicals are topically or systemically applied (1). Phototoxicity begins when photoreactive chemicals are excited by absorption of ultraviolet and visible light (UV/VIS). The excited chemicals can then transfer the absorbed energy and generate reactive oxygen species (ROS). The increased ROS levels provoke cytotoxicity through damage of DNA, lipids and proteins by oxidative stress (2,3). Several types of drugs, such as antibiotics, anticonvulsants, antimalarials, antipsychotics, thiazide diuretics, non-steroidal anti-inflammatory drugs and others, have phototoxic potential and can cause notable phototoxic reactions such as sunburn and hyperpigmentation (4–6). Because of drug-induced phototoxicity, regulatory agencies, US FDA, EU EMA and ICH, provide photosafety guidances, introducing test methods and evaluation strategies (1,7,8). Following the ICH guidance S10, few non-animal testing methods for phototoxicity are recommended and these include measurement of the molar extinction coefficient (MEC), a standard ROS assay, a 3T3 neutral red uptake phototoxicity assay and a reconstructed human skin model assay. The ROS assay was developed to screen photoreactivity of drugs through generation of the superoxide anion (type 1 reaction) and singlet oxygen (type 2 reaction) and their generation is an early stage chemical reaction as part of the phototoxicity mechanism (6). The ROS assay protocol was established and the validation studies were conducted under the direction of the Japanese Center for the Validation of Alternative Methods (JaCVAM) (9–11). For the assay, high sensitivity and reproducibility were demonstrated and as part of the test, two solar simulators Suntest CPS series and SXL-2500V2 were evaluated. This assay, however, has low specificity, showing high false positive results. For this reason, we only focused on the effect of UVA (315~400 nm), which is much important than other ultraviolet in phototoxicity. In addition, a UVA simulator is commonly used for phototoxicity evaluations. In this study, we evaluated the performance of the ROS assay with UVA (UVA ROS assay) instead of sunlight (290~700 nm) using 50 phototoxins and 10 non-phototoxins.

MATERIALS AND METHODS

Chemicals and materials

Sixty test substances, including reference chemicals and phototoxic/non-phototoxic drugs, were selected for evaluation from the ROS assay protocol, a validation report of the ROS assay, package inserts and previous studies (6,9–16). 4-Aminobenzoic acid, 6-methylcoumarin, 8-methoxy psoralen, acridine, amiodarone, amlodipine, amoxapine, aspirin, atorvastatin, benzocaine, bezafibrate, bithionol, chlorothiazide, chlorpromazine HCl, ciprofloxacin, dapsone, demeclocycline, diclofenac, doxycycline, erythromycin, fenofibrate, flutamide, fluvastatin, furosemide, gliclazide, griseofulvin, hydrochlorothiazide, ibuprofen, ketoprofen, levofloxacin, losartan, lovastatin, methotrexate, nalidixic acid, naproxen, nifedipine, nitrofurantoin, norfloxacin, octyl salicylate, ofloxacin, omeprazole, oxytetracycline HCl, penicillin G, perphenazine, phenytoin, piroxicam, promethazine HCl, quinidine, quinine HCl, tetracycline, tiaprofenic acid, dimethyl sulfoxide (DMSO), sodium phosphate monobasic, sodium phosphate dibasic, p-nitroso-dimethylaniline (RNO), imidazole and nitroblue tetrazolium chloride (NBT) were purchased from Sigma-Aldrich (St. Louis, MO, USA). Enoxacin, lomefloxacin, meloxicam, mequitazine, nitrendipine, pitavastatin and rosiglitazone were obtained from Santa Cruz (Dallas, TX, USA). L-Histidine and sulisobenzone were purchased from Tokyo Chemical Industry (Tokyo, Japan). Quartz reaction containers were obtained from Ozawa Science (Aichi, Japan). Spectrophotometer cuvettes were purchased from Eppendorf (Hamburg, Germany). The 96-well plates (clear, flat-bottom, without lid) were obtained Corning (Corning, NY, USA). Following the ROS assay protocol, 20 mM sodium phosphate buffer (NaPB, pH 7.4), 0.2 mM p-Nitrosodimethylaniline (RNO), 20 mM imidazole and 0.4 mM nitroblue tetrazolium chloride (NBT) were prepared (10). All test substances and reagents were protected from light.

UV spectral analysis

UV spectral analysis was conducted as described in a previous study (6). The test substances were dissolved in 20 mM sodium phosphate buffer (NaPB, pH 7.4) at 20 μM (final concentration). The UV/VIS absorption spectra were analyzed with a microplate spectrophotometer (Mecasys, Daejeon, Korea), and a spectrophotometer cuvette with a 10-mm pathlength was used. The MEC values were calculated using the highest absorption peaks from 290 to 700 nm.

Conditions of irradiation

A UVA simulator equipped with 40 W lamps was used (Vilbert-Lourmat, Marne-la-vallee, France). The UVA irradiation test was conducted at 25°C with 2.0 mW/cm2 irradiance measured by a UVA detector (UVP, Cambridge, UK).

Reactive oxygen species (ROS) assay

ROS assay was performed as previously described in Onoue et al. (9,11) and the ROS assay protocol (10). Stock solutions of all test substances were prepared at 10 mM in DMSO or 20 mM sodium phosphate buffer (NaPB, pH 7.4) and used within the same day for accurate data. To detect the generation of singlet oxygen and superoxide anion, all prepared test substance stock solutions were mixed in reagents, containing 400 μM NBT in 20 mM NaPB (pH 7.4) for singlet oxygen (SO) and 200 μM RNO and 50 μM imidazole in 20 mM NaPB (pH 7.4) for superoxide anion (SA) detection, and the final concentration of test substances in the reaction mixture was at 200 μM. When precipitation was observed using a microscope (×100 magnification) in the reaction mixture, appropriate final concentrations (20, 50, 100 μM) were used. Two hundred microliters of each reaction mixture were put into three wells of a 96-well plate. Before UVA exposure, absorbance was measured at 440 nm for SO and 560 nm for SA by a microplate spectrophotometer and then a quartz reaction container was installed in the plate. The plate was irradiated with a UVA simulator. After irradiation, the absorbance at 440 nm and 560 nm for the plate was measured. Following the ROS assay protocol, ROS generation of SO and SA was calculated by mean absorbance before and after irradiation.

Data judgment

Photoreactivity of the test substances was judged according to the following criteria (10,11). A test substance was classified as a photoreactive substance when an SO value 25 or more and/or an SA value 20 or more was measured; in turn, it was judged to be a non-photoreactive substance when values of less than 25 for SO and less than 20 for SA were recorded.

RESULTS

Optimization of the irradiance dose

To use a UVA simulator, we performed a preliminary study in order to find the appropriate UVA dose with the reference chemicals listed in the ROS assay protocol (10). We exposed at 2.0 mW/cm2 irradiance, which is in the irradiance range of Atlas Suntest CPS/CPS+ in the ROS assay (10). We irradiated at up to 18 J/cm2 at intervals of 3 J/cm2 and recorded the phototoxic information. The results produced at 9 or more J/cm2 were matched with their phototoxic potential (Table 1). Also, values of positive and negative substances met the acceptance criteria (17,18). Considering the results obtained with the irradiation times, we selected the UVA dose of 9 J/cm2 for the main study.
Table 1

Selection of UVA irradiation conditions using reference chemicals

No.Substance nameCAS no.Phototoxic information*Concentration (μM)ROS assay (J/cm2)**



3T3 NRUAnimalHumanSOSA369121518
Positive/negative controls
1Quinine HCl (PC)6119-47-7PPP200200++++++
2Sulisobenzone (NC)4065-45-6NN200200
Reference chemicals
34-Aminobenzoic acid150-13-0NN200200
48-Methoxy psoralen298-81-7PPP200200++++
5Acridine260-94-6PPP200200++++++
6Benzocaine94-09-7N200200
7Chlorpromazine69-09-0PPP200200+++++
8Diclofenac15307-79-6P200200++++++
9Doxycycline10592-13-9PPP200200++++++
10Erythromycin114-07-8N200200
11Fenofibrate49562-28-9PP2020+++++
12Furosemide54-31-9P/NP200200+++++
13L-Histidine71-00-1P200200
14Ketoprofen22071-15-4PNP200200++++++
15Nalidixic acid389-08-2PPP200200++++++
16Norfloxacin70458-96-7PPP200200++++++
17Omeprazole73590-58-6P200200+++++
18Promethazine HCl58-33-3PP200200++++++

Phototoxic information was from JaCVAM (17) and Onoue et al. (11); P, phototoxic; N, non-phototoxic.

+, Positive result; −, Negative result.

Results of ROS assay using UVA simulator

Using the selected UVA dose, we identified the performance of the ROS assay with 60 test substances including 50 phototoxins and 10 non-phototoxins (Table 2). Firstly, we measured an MEC for all the test substances if they were photoreactive. Four substances, ibuprofen, erythromycin, penicillin G and phenytoin, had an MEC of less than 1,000. Next, we tested their solubility and identified precipitation, coloration or any other interference at 200 μM in the reaction mixture. Amiodarone, demeclocycline, fenofibrate, piroxicam and rosiglitazone showed precipitation in the reaction mixture for SO and/or SA and an appropriate concentration was further explored for them. Except for amiodarone, the substances with the solubility issues were dissolvable at least at 20 μM. As such, the evaluable test substances were determined be 59 of the original 60. The test results indicated that the UVA ROS assay correctly classified 42 of 49 phototoxins and 10 of 10 non-phototoxins. Amoxapine, atorvastatin, flutamide, griseofulvin, hydrochlorothiazide, nifedipine and nitrendipine were falsely judged as being non-phototoxins. The predictive capacity showed an 85.7% sensitivity, 100.0% specificity and 88.1% accuracy (Table 3).
Table 2

Results of the UVA ROS assay

No.Substance nameCAS no.UV absorption*Concentration (μM)UVA ROS assay**Phototoxic information



λmax (nm)MEC (M−1cm−1)SOSASOSAResult
Positive/negative controls
1Quinine HCl (PC)6119-47-73315250200200279.6 ± 24.5190.3 ± 31.3+(11), (17)
2Sulisobenzone (NC)4065-45-6(290)92002002000.6 ± 4.9N.D.(11)
Phototoxic substances
36-Methylcoumarin92-48-8(290)875020020039.4 ± 1.853.7 ± 4.5+(11), (17)
48-Methoxy psoralen298-81-73001225020020027.4 ± 7.318.6 ± 3.5+(11), (17)
5Acridine260-94-63559250200200169.1 ± 10.595.1 ± 4.0+(11), (17)
6Amiodarone19774-82-4358/371101502020N.A.(P)N.A.(P)X(11), (17)
7Amlodipine111470-99-6365209002002009.9 ± 12.267.9 ± 34.0+(18)
8Amoxapine14028-44-52989000200200N.D.14.2 ± 10.3(6)
9Atorvastatin134523-00-5(290)920020020013.1 ± 6.910.6 ± 7.3(18)
10Bezafibrate41859-67-0(290)3452002003.6 ± 3.424.8 ± 3.9+(18)
11Bithionol97-18-7322775020020080.7 ± 7.221.1 ± 7.5+(11)
12Chlorothiazide58-94-6293119502002003.6 ± 1.238.6 ± 15.3+(6)
13Chlorpromazine HCl69-09-02934600200200N.D.55.0 ± 17.6+(11), (17)
14Ciprofloxacin85721-33-132215300200200198.3 ± 54.086.4 ± 12.2+(15)
15Demeclocyline64-73-33751570020050143.7 ± 12.846.1 ± 2.0+(12)
16Diclofenac15307-79-6(290)7850200200149.5 ± 10.3150.8 ± 32.6+(6)
17Doxycycline10592-13-93481165020020067.2 ± 9.180.6 ± 4.0+(11), (17)
18Enoxacin74011-58-833413500200200239.5 ± 5.1357.6 ± 2.3+(18)
19Fenofibrate49562-28-929411300202067.4 ± 15.8N.D.+(11), (17)
20Flutamide13311-84-7291780020020012.7 ± 4.17.3 ± 2.6(14)
21Fluvastatin93957-55-230311050200200190.4 ± 3.4155.6 ± 12.6+(18)
22Furosemide54-31-9(290)285020020074.3 ± 21.217.7 ± 8.6+(11)
23Gliclazide21187-98-4--2002004.3 ± 10.291.7 ± 12.2+(18)
24Griseofulvin126-07-8295242002002004.4 ± 2.810.6 ± 2.9(18)
25Hydrochlorothiazide58-93-531833502002001.9 ± 3.3N.D.(18), (19)
26Ibuprofen15687-27-1294602002001.8 ± 2.362.7 ± 10.7+(6)
27Ketoprofen22071-15-4(290)6450200200123.5 ± 12.876.4 ± 6.9+(11), (17)
28Levofloxacin138199-71-0(290)27150200200107.3 ± 28.6367.3 ± 14.2+(18)
29Lomefloxacin98079-52-832613350200200693.9 ± 22.164.5 ± 1.5+(13)
30Losartan124750-99-8(290)925200200N.D.50.3 ± 3.2+(18)
31Lovastatin75330-75-5325/333195020020027.0 ± 8.9N.D.+(18)
32Meloxicam71125-38-7(290)83502002009.2 ± 1.931.9 ± 9.7+(18)
33Mequitazine29216-28-23035850200200114.3 ± 11.915.4 ± 2.2+(18)
34Methotrexate59-05-230326100200200N.D.195.1 ± 20.6+Package insert
35Nalidixic acid389-08-23351210020020073.2 ± 6.4307.0 ± 16.8+(11), (17)
36Naproxen22204-53-1293355020020039.6 ± 3.277.9 ± 8.2+(18)
37Nifedipine21829-25-434258502002008.8 ± 3.2N.D.(6)
38Nitrendifine39562-70-43575000200200N.D.11.6 ± 1.5(6)
39Nitrofurantoin67-20-93812080020020062.4 ± 6.6N.D.+(6)
40Norfloxacin70458-96-732314450200200167.3 ± 24.182.3 ± 34.6+(11), (17)
41Ofloxacin82419-36-1(290)2825020020066.9 ± 6.4349.6 ± 11.6+(11), (17)
42Omeprazole73590-58-629914400200200N.D.92.0 ± 6.3+(6)
43Oxytetracycline HCl2058-46-03581610020020088.4 ± 25.066.8 ± 9.4+(6)
44Perphenazine58-39-93093600200200N.D.47.8 ± 9.5+(18)
45Piroxicam36322-90-4355179002005099.9 ± 5.837.2 ± 28.0+(11), (17)
46Pitavastatin147526-32-729110900200200N.A.(P)47.9 ± 19.5+(18)
47Promethazine HCl58-33-3300350020020059.5 ± 4.06.4 ± 4.5+(11), (17)
48Quinidine56-54-23315200200200154.6 ± 14.987.6 ± 16.1+(19)
49Rosiglitazone122320-73-431149002002031.9 ± 5.910.1 ± 1.5+(11), (17)
50Tetracycline60-54-83631595020020039.5 ± 5.449.0 ± 3.3+(11), (17)
51Tiaprofenic acid33005-95-731615500200200654.5 ± 23.0201.4 ± 15.4+(12)
Non-phototoxic substances
524-Aminobenzoic acid150-13-0(290)7300200200−0.2 ± 0.8−7.2 ± 0.5(11), (17)
53Aspirin50-78-2(290)20502002001.5 ± 2.8N.D.(11), (17)
54Benzocaine94-09-7(290)16850200200N.D.N.D.(11), (17)
55Dapsone80-08-02942625020020010.7 ± 2.3N.D.(19)
56Erythromycin114-07-8--200200N.D.15.1 ± 0.4(11), (17)
57L-Histidine71-00-129130002002000.7 ± 0.66.3 ± 0.6(11), (17)
58Octyl salicylate118-60-5(290)1250020203.5 ± 8.04.6 ± 3.8(11), (17)
59Penicillin G113-98-4--2002000.2 ± 0.39.8 ± 0.7(11), (17)
60Phenytoin57-41-0295900200200N.D.15.4 ± 0.9(11), (17)

When the maximum wavelengths were under 290 nm, these are marked 290 nm with parentheses.

SO: Singlet oxygen, SA: Superoxide anion, N.A. (P): Not available due to precipitation, N.D.: Not detected because SA or SO value was below zero.

Table 3

Comparison of predictive capacity of the UVA ROS assay with the standard ROS assay using two solar simulators

Standard ROS assay*UVA ROS assay


Suntest CPS seriesSXL-2500V2Biospectra
Sensitivity (%)100.0100.085.7
Specificity (%)61.655.9100.0
Accuracy (%)86.888.788.1

Performance capacity was from Onoue et al. (11) and sensitivity, specificity and accuracy of each solar simulator in the ROS assay indicate the average of each participated lab results.

DISCUSSION

To use a UVA simulator instead of validated solar simulators, we established the irradiation condition of the ROS assay with UVA. We chose a UVA irradiance of 2.0 mW/cm2, which has been used in Atlas Suntest CPS series and has shown the lowest variation in a previous study (6). We found an appropriate UVA intensity that was compatible with phototoxic information of reference chemicals (Table 1). Also, the selected intensity sufficiently generated ROS and in the range of 5~20 J/cm2, which is widely used in in vitro and in vivo phototoxic assays (1). Solubility evaluation of test substance solutions proceeded right before the assay, in order to prevent interference, such as precipitation and coloration that might affect the test results. To overcome a solubility problem, the ROS assay was modified to use the micelle system using Tween 20 (18). Thus, low solubility substances could be evaluated for their phototoxic potential by adapting the micellar system to the UVA ROS assay. The study results showed that the 7 phototoxic substances, amoxapine, atorvastatin, flutamide, griseofulvin, hydrochlorothiazide, nifedipine and nitrendipine, were classified as non-phototoxins (Table 2). These substances showed a UVA absorption and MEC of over 1,000 but did not generate ROS, either singlet oxygen or superoxide anion species. Moreover, irradiation of UVA at up to 18 J/cm2 did not generate ROS (data not shown). However, these substances were correctly classified in previous studies, which used a solar simulator (6,18). Different results between a UVA simulator and a solar simulator could be related with UVB wavelength. UVB may be an essential factor to generate ROS of these chemicals, even they absorbed UVA wavelength. Therefore, misclassified chemicals may not generate ROS. On the other hand, the final concentration of a test chemical, 200 μM, could be limited to generate ROS in the UVA ROS assay system. If using more higher concentration than the final concentration, these chemicals would be generated ROS and met the criteria of photoreactivity. L-Histidine, penicillin G and phenytoin that were false positive substances in the ROS assay were correctly classified as non-phototoxins (Table 2) (6,9,11). Surprisingly, bezafibrate, gliclazide, ibuprofen and losartan generated superoxide anion and were thus classified as phototoxins even though they had low MEC values in the UV/VIS range (290~700 nm). These results were consistent with those of the previous study, and MEC values cannot be always used to evaluate-phototoxic potential of chemicals (6). We conducted the UVA ROS assay with 60 test substances to identify their phototoxic potential. The results showed that this assay could adequately evaluate phototoxicity of the test substances analyzed. In addition, the UVA ROS assay has higher specificity and lower sensitivity than the ROS assay, and the performance of the UVA ROS assay is comparable with that of the ROS assay (Table 3). Our findings suggest that the UVA ROS assay could be used as a method for phototoxicity evaluation of pharmaceutical substances.
  14 in total

1.  The EpiSkin phototoxicity assay (EPA): development of an in vitro tiered strategy using 17 reference chemicals to predict phototoxic potency.

Authors:  Damien Lelièvre; Pascale Justine; François Christiaens; Nicole Bonaventure; Julie Coutet; Laurent Marrot; José Cotovio
Journal:  Toxicol In Vitro       Date:  2007-05-01       Impact factor: 3.500

2.  An evaluation of chemical photoreactivity and the relationship to photogenotoxicity.

Authors:  Anthony M Lynch; Mark D Smith; Amy S Lane; Sharon A Robinson; Mark H Kleinman; Sonya Kennedy-Gabb; Philip Wilcox; Robert W Rees
Journal:  Regul Toxicol Pharmacol       Date:  2009-11-13       Impact factor: 3.271

Review 3.  Cutaneous photosensitivity diseases induced by exogenous agents.

Authors:  J W Gould; M G Mercurio; C A Elmets
Journal:  J Am Acad Dermatol       Date:  1995-10       Impact factor: 11.527

Review 4.  ROS function in redox signaling and oxidative stress.

Authors:  Michael Schieber; Navdeep S Chandel
Journal:  Curr Biol       Date:  2014-05-19       Impact factor: 10.834

5.  The International EU/COLIPA In Vitro Phototoxicity Validation Study: Results of Phase II (Blind Trial). Part 1: The 3T3 NRU Phototoxicity Test.

Authors:  H Spielmann; M Balls; J Dupuis; W J Pape; G Pechovitch; O de Silva; H G Holzhütter; R Clothier; P Desolle; F Gerberick; M Liebsch; W W Lovell; T Maurer; U Pfannenbecker; J M Potthast; M Csato; D Sladowski; W Steiling; P Brantom
Journal:  Toxicol In Vitro       Date:  1998-06-01       Impact factor: 3.500

6.  An evaluation of chemical photoreactivity and the relationship to phototoxicity.

Authors:  Mark H Kleinman; Mark D Smith; Edit Kurali; Sarah Kleinpeter; Kaina Jiang; Yongxia Zhang; Sonya A Kennedy-Gabb; Anthony M Lynch; Chris D Geddes
Journal:  Regul Toxicol Pharmacol       Date:  2010-06-30       Impact factor: 3.271

7.  Establishment and intra-/inter-laboratory validation of a standard protocol of reactive oxygen species assay for chemical photosafety evaluation.

Authors:  Satomi Onoue; Kazuhiro Hosoi; Shinobu Wakuri; Yumiko Iwase; Toshinobu Yamamoto; Naoko Matsuoka; Kazuichi Nakamura; Tsuguto Toda; Hironori Takagi; Naoto Osaki; Yasuhiro Matsumoto; Satoru Kawakami; Yoshiki Seto; Masashi Kato; Shizuo Yamada; Yasuo Ohno; Hajime Kojima
Journal:  J Appl Toxicol       Date:  2012-06-13       Impact factor: 3.446

8.  Establishment of an in silico phototoxicity prediction method by combining descriptors related to photo-absorption and photo-reaction.

Authors:  Yu Haranosono; Masaaki Kurata; Hideyuki Sakaki
Journal:  J Toxicol Sci       Date:  2014-08       Impact factor: 2.196

Review 9.  Phototoxicity and photoallergy in man.

Authors:  J H Epstein
Journal:  J Am Acad Dermatol       Date:  1983-02       Impact factor: 11.527

10.  Development of micellar reactive oxygen species assay for photosafety evaluation of poorly water-soluble chemicals.

Authors:  Yoshiki Seto; Masashi Kato; Shizuo Yamada; Satomi Onoue
Journal:  Toxicol In Vitro       Date:  2013-05-30       Impact factor: 3.500

View more
  4 in total

Review 1.  Phototoxicity of traditional chinese medicine (TCM).

Authors:  Xiaoqi Li; Rui An; Kun Liang; Xinhong Wang; Lisha You
Journal:  Toxicol Res (Camb)       Date:  2018-08-27       Impact factor: 3.524

2.  Density functional theory study of structural and electronic properties of trans and cis structures of thiothixene as a nano-drug.

Authors:  Akram Noori Tahneh; Samaneh Bagheri Novir; Ebrahim Balali
Journal:  J Mol Model       Date:  2017-11-25       Impact factor: 1.810

3.  Evaluation of the skin phototoxicity of systemically administered pharmaceuticals in Sprague-Dawley rats.

Authors:  Eun Ji Kim; Nam Hee Youn; Jung-Sun Yi; Joo Hwan Kim; Ye-Jin Cho; Ki Taek Nam; Ki Sook Park; Jong Kwon Lee
Journal:  Toxicol Res       Date:  2021-02-08

4.  Minocycline Impact on Redox Homeostasis of Normal Human Melanocytes HEMn-LP Exposed to UVA Radiation and Hydrogen Peroxide.

Authors:  Jakub Rok; Zuzanna Rzepka; Mateusz Maszczyk; Artur Beberok; Dorota Wrześniok
Journal:  Int J Mol Sci       Date:  2021-02-06       Impact factor: 5.923

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.