• Journal of Pharmaceutical Investigation
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• v.25 no.4
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• pp.291-298
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• 1995

The purpose of this study is to verify the interaction between food and ampicillin which is one of the aminopenicillins known to be absorbed by a specified dipeptide transporter in the small intestine. The absorption of ampicillin was measured in the presence of the high carbohydrate food, high fat food, and high protein food, and compared with that in the presence of the control normal food. In situ single-pass perfusion method was chosen in these experiments using two jejunal segments in the rat. Reduction in the absorption of ampicillin was not shown, when both high carbohydrate food and high fat food were co-perfused with ampicillin. When the high protein food was co-perfused with ampicillin, the difference of $C_{out}/C_{in}$ of ampicillin ratio was $0.084\;{\pm}\;0.082$, showing a trend of reduced absorption without a significance. Further, glyclysarcosine (Gly-Sar) which is a stable dipeptide in the small intestine was used in order to see the direct competitive inhibition with ampicillin on the dipeptide transporter. The difference of $C_{out}/C_{in}$ ratio was $0.078\;{\pm}\;0.020$ in the presence of 10 mM Cly-Sar, showing a significant inhibition of ampicillin absorption (p < 0.02). It suggests that dietary di- and tripeptides, the digestive products of protein food, might have influence on the absorption of ampicillin, and that ampicillin could be given at the lasting state for better absorption.

• Korean Journal of Pharmacognosy
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• v.52 no.2
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• pp.112-117
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• 2021

Helianthus annuus L. has been reported with various pharmacological activities such as antibacterial, antidiabetic, and antioxidant effects. According to recent studies, H. annuus L. is known to contain components such as phenolic compounds, flavonoids, alkaloids, sesquiterpenoids, and lignans. The seeds of H. annuus L. have been reported to contain chlorogenic acid and di-O-caffeoylquinic acid as major components. However, studies on the main components and content of leaves of H. annuus L. are still incomplete. Therefore, in this study, the contents of four major components of H. annuus L. were evaluated by simultaneous quantitative analysis with high performance liquid chromatography (HPLC)-diode array detector (DAD). The isolated four compounds Caffeoylquinic acid(CQA), 3,4-dicaffeoylquinic acid(3,4-DCQA), 3,5-dicaffeoylquinic acid(3,5-DCQA) and 4,5-dicaffeoylquinic acid(4,5-DCQA) were shown in a large linearity with a correlation coefficient (R²) of 0.99. In addition, as a result of intra-inter day analysis of four major compounds by the analysis method of this study, the accuracy of 88.46% or more and less than 112.85% and excellent precision of less than 3% were shown, the content analysis showed CQA (0.383±0.018 mg/g), 3,4-DCQA (0.282±0.017 mg/g), 3,5-DCQA (1.109±0.068 mg/g), and 4,5-DCQA (0.673±0.020 mg/g).

• Journal of Gastric Cancer
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• v.17 no.2
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• pp.132-144
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• 2017

Purpose: To identify baseline prognostic factors for survival in patients with disease progression, during or after chemotherapy for the treatment of advanced gastric or gastroesophageal junction (GEJ) cancer. Materials and Methods: We pooled data from patients randomized between 2009 and 2012 in 2 phase III, global double-blind studies of ramucirumab for the treatment of advanced gastric or GEJ adenocarcinoma following disease progression on first-line platinum- and/or fluoropyrimidine-containing therapy (REGARD and RAINBOW). Forty-one key baseline clinical and laboratory factors common in both studies were examined. Model building started with covariate screening using univariate Cox models (significance level=0.05). A stepwise multivariable Cox model identified the final prognostic factors (entry+exit significance level=0.01). Cox models were stratified by treatment and geographic region. The process was repeated to identify baseline prognostic quality of life (QoL) parameters. Results: Of 1,020 randomized patients, 953 (93%) patients without any missing covariates were included in the analysis. We identified 12 independent prognostic factors of poor survival: 1) peritoneal metastases; 2) Eastern Cooperative Oncology Group (ECOG) performance score 1; 3) the presence of a primary tumor; 4) time to progression since prior therapy <6 months; 5) poor/unknown tumor differentiation; abnormally low blood levels of 6) albumin, 7) sodium, and/or 8) lymphocytes; and abnormally high blood levels of 9) neutrophils, 10) aspartate aminotransferase (AST), 11) alkaline phosphatase (ALP), and/or 12) lactate dehydrogenase (LDH). Factors were used to devise a 4-tier prognostic index (median overall survival [OS] by risk [months]: high=3.4, moderate=6.4, medium=9.9, and low=14.5; Harrell's C-index=0.66; 95% confidence interval [CI], 0.64-0.68). Addition of QoL to the model identified patient-reported appetite loss as an independent prognostic factor. Conclusions: The identified prognostic factors and the reported prognostic index may help clinical decision-making, patient stratification, and planning of future clinical studies.