GPT Image 2.0 프롬프트 - 죽상동맥경화 기전 생의학 일러스트

Create an editable, publication-quality scientific hypothesis figure in the visual style of a high-end cardiovascular biomedical graphical abstract, inspired by the reference figure “cholesterol–inflammation fusion mechanism”. The figure should present a clear left-to-right scientific narrative: Bidens pilosa decoction → oral absorption → bioavailable constituents entering the circulation → distribution to the aorta, atherosclerotic plaque, liver, kidney, intestine and feces → action on vascular and immune cells, especially macrophage foam cells → simultaneous regulation of cholesterol metabolism and chronic inflammation → interruption of the cholesterol–inflammation amplification loop → attenuation of atherosclerotic plaque and improvement of vascular lumen. Use one continuous biomedical illustration rather than a simple flowchart. The central visual scene should be a longitudinal cross-section of an atherosclerotic artery, including the blood lumen, red blood cells, endothelial cells, a thickened arterial wall, lipid accumulation, cholesterol crystals, macrophages, foam cells, inflammatory cytokines and atherosclerotic plaque. Add a magnified macrophage foam-cell inset connected to the plaque. Inside the macrophage, show lipid droplets, cholesterol crystals, cholesterol uptake, cholesterol efflux and inflammatory signaling. Represent the two mechanistic axes with distinct but harmonious visual coding: 1. Cholesterol-metabolism axis in blue: PPARγ → LXRα → ABCA1/ABCG1 → increased cholesterol efflux → reduced intracellular cholesterol accumulation and foam-cell formation. 2. Inflammatory axis in red or magenta: IL-1β / IL-1R1 → NF-κB / NLRP3 → reduced inflammatory signaling and cytokine release → attenuation of chronic vascular inflammation. Show the two axes converging into a central concept: “Cholesterol–inflammation fusion” and show a green Bidens pilosa intervention signal interrupting the reciprocal amplification between cholesterol accumulation and inflammation. The left side should include a botanical source image or a clean botanical illustration of Bidens pilosa and a transparent vessel containing the decoction. Use a subtle green pathway to indicate oral absorption and entry into the bloodstream. The tissue-distribution section should use scientifically recognizable but visually subordinate illustrations of the liver, kidney, intestine and feces. Label this section: “Blood and tissue distribution of bioavailable constituents” and add the qualification: “to be identified by mass spectrometry” or “hypothesized; subject to validation”. The right side should show the therapeutic outcome: reduced lipid accumulation, reduced inflammatory activity, smaller plaque burden, more stable plaque structure and improved vascular lumen. Use a soft pastel biomedical palette with pale pink, lavender, coral, blue, teal, olive green, gold and warm orange. Maintain consistent line weight, shading, lighting, perspective, cell style and illustration quality throughout the entire figure. Avoid mixing photographic plant images, cartoon icons, abstract 3D objects and unrelated visual styles. All text must remain editable vector text objects. Use bold Songti/SimSun-style Chinese typography for Chinese annotations and Times New Roman for gene names, protein names, pathway names and English labels. Do not rasterize text. Use curved, thin, semi-transparent scientific arrows with clear arrowheads. Arrows must follow the biological direction of the process and must not obscure the artery, plaque, macrophage or text. Avoid oversized triangular arrows, random lines, thick block arrows, excessive glow, decorative shapes and crowded labels. Do not generate unsupported experimental conclusions. Clearly distinguish established mechanisms from the proposed hypothesis. Use “hypothesized”, “subject to validation”, or “to be identified” wherever the active constituents, tissue enrichment, cellular targets or direct molecular binding have not yet been experimentally confirmed. The final figure should be suitable for a doctoral research proposal, academic presentation and later refinement for journal submission. Deliver an editable vector-based composition with separately editable images, labels, pathways, arrows, captions and legends.