| Literature DB >> 26190864 |
Joanna Matysiak1, Małgorzata Juszczak2, Monika M Karpińska3, Ewa Langner4, Katarzyna Walczak5, Marta Lemieszek2, Alicja Skrzypek1, Wojciech Rzeski6, Andrzej Niewiadomy7.
Abstract
ABSTRACT: We reported the synthesis and characterization of a series of azolo- and azino[1,3]thiazinones containing the 2,4-dihydroxyphenyl substituent. The compounds were prepared by a new one-step reaction of aryl-modified sulfinylbis[(2,4-dihydroxyphenyl)methanethione]s and the corresponding aminoazolo(azino)carboxamides. Their chemical structures were confirmed by IR, NMR: 1H, 13C, HSQC, and EI-MS spectral data. The compounds inhibited proliferation and viability of lung cancer A549, colon cancer HT-29, and glioma C6 cells in a structure- and concentration-dependent manner. The activity of some analogues was below 10 μmol dm-3 (IC50). Glioma C6 cells were the most sensitive to tested compounds. Generally, the derivatives were not toxic for the skin fibroblast HSF culture. Moreover, some of them exerted a protective effect on the treated normal cells. Evaluation of compound properties in silico showed that they possess significant drug-like characteristics and most of them display a low toxicity.Entities:
Keywords: ADMET; Antiproliferative activity; Azolothiazinones; Cytotoxicity; Resorcinols
Year: 2015 PMID: 26190864 PMCID: PMC4498246 DOI: 10.1007/s00706-015-1453-4
Source DB: PubMed Journal: Monatsh Chem ISSN: 0026-9247 Impact factor: 1.451

HSQC NMR data of compounds 1b, 1e, and 2c
Fig. 1The antiproliferative effect of compounds in rat glioma C6. The cells were grown in the culture medium only (control) and in the presence of tested compounds (10–100 μmol dm−3) for 96 h, and the MTT assay was performed. The data represent mean % of control viability ±SEM of six trials and were analyzed by means of linear regression
Antiproliferative activity of compounds against glioma C6 cells expressed as IC50, their molecular descriptors, and parameters of adsorption and distribution processes assumed using ADMET Predictor software
| No. | IC50/μmol dm−3 | Log |
| Rule of 5 | nRB | PSA/Å2 |
| Peff/cm s−1 × 10−4 | MDCK/cm s−1 × 10−7 |
| BBB | Log BB | PPB/% |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
| 17.2 | 2.18 | 0.95 | 0 | 1 | 99.1 | 48 | 2.47 | 140.73 | 0.7 | Low | −0.29 | 92.73 |
|
| 35.8 | 2.17 | 0.95 | 0 | 1 | 99.1 | 48 | 2.49 | 132.27 | 0.69 | Low | −0.35 | 92.85 |
|
| 23.1 | 2.48 | 1.22 | 0 | 2 | 99.1 | 43 | 2.32 | 136.17 | 0.79 | Low | −0.27 | 93.97 |
|
| –a | 1.75 | 0.95 | 0 | 1 | 99.1 | 37 | 2.88 | 184.77 | 0.23 | Low | −0.55 | 98.52 |
|
| 100.8 | 1.57 | 0.19 | 0 | 2 | 108.0 | 45 | 2.94 | 109.44 | 0.55 | Low | −0.41 | 92.58 |
|
| 48.9 | 2.69 | 1.34 | 0 | 3 | 88.2 | 99 | 5.18 | 172.44 | 0.82 | Low | −0.10 | 96.13 |
|
| –a | 2.95 | 1.59 | 0 | 3 | 88.2 | 82 | 5.19 | 196.52 | 0.91 | Low | −0.10 | 96.64 |
|
| 27.1 | 2.99 | 1.59 | 0 | 3 | 88.2 | 80 | 5.21 | 186.56 | 0.90 | Low | −0.16 | 96.76 |
|
| 32.2 | 3.32 | 1.83 | 0 | 4 | 88.2 | 70 | 4.81 | 193.76 | 0.97 | Low | −0.11 | 97.32 |
|
| 31.8 | 2.94 | 1.59 | 0 | 3 | 88.2 | 74 | 5.78 | 249.87 | 0.38 | Low | −0.34 | 99.04 |
|
| 33.1 | 1.42 | 0.55 | 0 | 1 | 99.1 | 51 | 1.96 | 110.01 | 1.07 | Low | −0.40 | 88.69 |
|
| –a | 1.42 | 0.55 | 0 | 1 | 99.1 | 51 | 1.98 | 103.09 | 1.06 | Low | −0.46 | 88.92 |
|
| 8.2 | 1.79 | 0.82 | 0 | 2 | 99.1 | 46 | 1.81 | 104.61 | 1.18 | Low | −0.37 | 91.06 |
|
| 53.5 | 0.91 | 0.55 | 0 | 1 | 99.1 | 42 | 2.38 | 130.67 | 0.39 | Low | −0.65 | 97.12 |
|
| –a | 1.39 | 0.55 | 0 | 1 | 99.1 | 45 | 2.41 | 136.76 | 0.80 | Low | −0.49 | 91.39 |
|
| 89.7 | 1.76 | 0.82 | 0 | 2 | 99.1 | 40 | 2.26 | 141.31 | 0.92 | Low | −0.40 | 92.71 |
|
| 18.3 | 0.76 | 0.55 | 0 | 1 | 99.1 | 37 | 2.78 | 187.10 | 0.27 | Low | −0.69 | 97.34 |
|
| –a | 3.35 | 2.20 | 0 | 2 | 83.3 | 35 | 4.94 | 250.10 | 1.04 | Low | −0.07 | 97.05 |
Log D octanol–water distribution coefficient, M log P log P according to Moriguchi model, nRB number of rotatable bonds, PSA Polar Surface Area, S water solubility, Peff human jejunal effective permeability, MDCK apparent permeability for Madin–Darby Canine Kidney (MDCK) cells, V volume of distribution, BBB qualitative likelihood high/low of crossing the blood–brain barrier, log BB logarithm of the brain/blood partition coefficient, PPB overall fraction of a drug bound in human blood plasma (in %)
aValue was not calculated
Fig. 2The antiproliferative effect of compounds in human non-small cell lung cancer A549. The cells were grown in the culture medium only (control) and in the presence of tested compounds (10–100 μmol dm−3) for 96 h, and the MTT assay was performed. The data represent mean % of control viability ±SEM of six trials and were analyzed by means of linear regression
Fig. 3The antiproliferative effect of compounds in human colon carcinoma HT-29. The cells were grown in the culture medium only (control) and in the presence of tested compounds (10–100 μmol dm−3) for 96 h, and the MTT assay was performed. The data represent mean % of control viability ±SEM of six trials and were analyzed by means of linear regression
Fig. 4Cytotoxicity of compounds in the primary culture of human skin fibroblasts HSF. The cells were grown in the culture medium only (control) and in the presence of tested compounds (10–100 μmol dm−3) for 24 h, and the LDH assay was performed. The data represent mean % of control viability ±SEM of 6 trials and were analyzed by means of linear regression
Characteristics of metabolism and toxicity profile of compounds estimated by the ADMET Predictor software
| No. | Substrate CYP1A2/% | Clint CYP1A2/µcm3 min−1 mg−1 | Substrate CYP2C9/ % | Clint CYP2C9/µcm3 min−1 mg−1 | TOX risk | TOX code | TOX MUT risk | TOX MUT code | TOX Rat/mg kg−1 | ADMET_Risk | ADMET code |
|---|---|---|---|---|---|---|---|---|---|---|---|
|
| Yes (63) | 4.33 | Yes (56) | 7.32 | 1.78 | Xm, Hp | 1 | S3 | 1372.56 | 1.78 | Xm, Hp |
|
| Yes (63) | 4.20 | Yes (56) | 3.96 | 1.92 | Xm, Hp | 1 | S3 | 1373.27 | 1.92 | Xm, Hp |
|
| Yes (63) | 0.87 | Yes (56) | 6.27 | 1.63 | Xm, Hp | 1 | S3 | 1465.48 | 1.63 | Xm, Hp |
|
| Yes (57) | 3.32 | Yes (63) | 1.75 | 1.46 | Xm, Hp | 1 | S3 | 676.78 | 2.22 | fu, Xm, Hp |
|
| yes (63) | 2.52 | Yes (63) | 2.07 | 2.16 | Xm, Hp, Mu | 2 | m1, S3 | 1105.78 | 2.16 | Xm, Hp, Mu |
|
| Yes (60) | 4.87 | No (60) | – | 3 | Xm, Hp, Mu | 2 | m1, S3 | 1342.59 | 3 | Xm, Hp, Mu |
|
| Yes (60) | 7.62 | No (64) | – | 3 | Xm, Hp, Mu | 2 | m1, S3 | 1454.44 | 3 | Xm, Hp, Mu |
|
| Yes (56) | 10.30 | No (67) | – | 3 | Xm, Hp, Mu | 2 | m1, S3 | 1449.67 | 3 | Xm, Hp, Mu |
|
| Yes (55) | 3.26 | No (65) | – | 3 | Xm, Hp, Mu | 2 | m1, S3 | 1474.65 | 3.16 | fu, Xm, Hp, Mu |
|
| Yes (58) | 18.10 | Yes (58) | 27.90 | 2 | Xm, Hp | 1 | S3 | 776.88 | 4.06 | fu, Xm, Hp, 1A, C9 |
|
| Yes (63) | 4.99 | Yes (75) | 36.20 | 0 | – | 1 | S3 | 685.69 | 1 | C9 |
|
| Yes (63) | 4.99 | Yes (56) | 23.50 | 0 | – | 1 | S3 | 688.09 | 0.57 | C9 |
|
| Yes (63) | 0.89 | Yes (63) | 33.30 | 0 | – | 1 | m3 | 716.96 | 1 | C9 |
|
| Yes (58) | 6.10 | YES (75) | 15.00 | 0 | – | 1 | m3 | 487.5 | 0.06 | fu |
|
| Yes (63) | 5.92 | Yes (63) | 18.10 | 1 | Hp | 1 | S3 | 998.28 | 1.21 | Hp, C9 |
|
| Yes (63) | 1.40 | Yes (75) | 24.20 | 1 | Hp | 1 | m3 | 1056.83 | 1.62 | Hp, C9 |
|
| Yes (57) | 5.45 | Yes (75) | 11.80 | 1 | Hp | 1 | m3 | 595.56 | 1.17 | Fu,Hp |
|
| Yes (63) | 0.99 | Yes (55) | 240.00 | 2 | Hp, Mu | 2 | S1, S3 | 1315.29 | 3.03 | fu, Hp, Mu, C9 |
Xm TOX BRM Mouse <35 (carcinogenicity in chronic mouse studies), Hp hepatotoxicity, Mu TOX MUT Risk >1, fu % Unbnd <[1,3] (low fraction unbound in plasma), 1A MET 1A2 km >0.01 μmol dm−3 and MET 1A2 CLint >[15,30], C9 MET 2C9 km >0.01 μmol dm−3 and MET 2C9 CLint >[15,30 µcm3 min−1 mg−1], S1 TOX MUT 97 + 1537 = Positive, S3 TOX MUT 102 + wp2 = Positive, m3 TOX MUT m102 + wp2 = Positive AND NOT TOX MUT 102 + wp2 = Positive