You will be shown a paragraph from a biomedical research article. Your task is to extract all drug combinations appearing in a specific sentence within in the paragraph. Each drug combination should be assigned to one of the following three categories:

- POS: Indicates a positive interaction between the drugs in the combination; for instance, drugs that have an additive or synergistic effect.
- NEG: Indicates a negative interaction between the drugs in the combination; for instance, combining these drugs might result in adverse side effects, or might reduce their efficacy.
- COMB: Indicates that the drugs are given in combination, but the type of interaction between the drugs cannot be determined based on the provided context.

Please format your answer as a json array. Each entry in the array should itself be an array formatted as [<drug_1>, <drug_2>, ..., <drug_n>, <category>] where <category> is one of the three categories listed above and <drug_1>, ..., <drug_n> are drug names copied verbatim from the input sentence. Different combinations may involve different numbers of drugs; in other words, the `n` in <drug_n> may vary.

As an example, the following output describes two extracted drug combinations; one between two drugs, and one between three drugs:

[["artesunate", "artemether", "COMB"], ["Nifedipine", "Labetalol", "Prazosin", "POS"]]

The paragraph and specific sentence are below. You should only extract relationships expressed in the specific sentence; the paragraph is provided for context.

In your output, return only the json array and no other text. If no drug combinations appear, return an empty array `[]`.

paragraph: Resveratrol protects human retinal pigment epithelial cells from acrolein-induced damage. Although the exact pathogenesis of age-related macular degeneration (AMD) is not clear, most studies indicate a role for retinal pigment epithelial (RPE) cell damage and death caused by oxidative stress. The purpose of this study was to examine the potential protective effects of lutein, zeaxanthin, meclofenamic acid, and resveratrol on the acrolein-induced oxidative stress in human RPE cells. ### methods Cultured human RPE R-50 cells were treated with acrolein at different concentrations and treatment times. The protective effects of lutein (100 microM), zeaxanthin (100 microM), meclofenamic acid (30 microM), and resveratrol (10 microM) were investigated by pretreatment with the above agents before toxicant exposure in acute toxicity models and cotreatment with the toxicant in chronic toxicity models. The synergistic effects of acrolein and hydrogen peroxide exposure were also studied. Fluorescent latex beads were used to assess the phagocytic function of the cells. ### results Acrolein inhibited the phagocytic function of human RPE R-50 cells, and the inhibitory effects were time dependent. Pretreatment with lutein, zeaxanthin, meclofenamic acid, or resveratrol alleviated the inhibition of phagocytosis in the acute acrolein and combined acrolein/hydrogen peroxide toxicity models. Synergistic effects were seen between zeaxanthin and resveratrol or meclofenamic acid . Cotreatment with lutein, zeaxanthin, meclofenamic acid, or resveratrol showed a protective effect against the damage caused by 7-day acrolein exposure followed by hydrogen peroxide treatment. ### conclusions Our results indicated an inhibitory effect of compounds found in cigarette smoke on human RPE phagocytosis, and lutein, zeaxanthin, meclofenamic acid, and resveratrol each offered protection against this inhibition. Therefore, red wine polyphenol, resveratrol, might ameliorate acrolein-induced or age-related RPE degeneration, such as AMD.

sentence: Synergistic effects were seen between zeaxanthin and resveratrol or meclofenamic acid .
[["resveratrol", "zeaxanthin", "POS"], ["meclofenamic acid", "zeaxanthin", "POS"]]