| Autor: |
Cherukuri R; Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77840, United States., Kammala AK; Division of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States., Thomas TJ; Division of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States., Saylor L; Division of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States., Richardson L; Division of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States., Kim S; Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77840, United States., Ferrer M; 3D Tissue Bioprinting Laboratory, National Centre for Advancing Translational Sciences, National Institute of Sciences, Bethesda, Maryland 20892, United States., Acedo C; 3D Tissue Bioprinting Laboratory, National Centre for Advancing Translational Sciences, National Institute of Sciences, Bethesda, Maryland 20892, United States., Song MJ; 3D Tissue Bioprinting Laboratory, National Centre for Advancing Translational Sciences, National Institute of Sciences, Bethesda, Maryland 20892, United States., Gaharwar AK; Department of Biomedical Engineering, Texas A&M University, College Station, Texas 77840, United States., Menon R; Division of Basic Science and Translational Research, Department of Obstetrics & Gynecology, The University of Texas Medical Branch at Galveston, Galveston, Texas 77555, United States., Han A; Department of Electrical and Computer Engineering, Texas A&M University, College Station, Texas 77840, United States.; Department of Biomedical Engineering, Texas A&M University, College Station, Texas 77840, United States.; Department of Chemical Engineering, Texas A&M University, College Station, Texas 77840, United States. |
| Abstrakt: |
Spontaneous preterm birth (PTB) affects around 11% of births, posing significant risks to neonatal health due to the inflammation at the fetal-maternal interface (FMi). This inflammation disrupts immune tolerance during pregnancy, often leading to PTB. While organ-on-a-chip (OOC) devices effectively mimic the physiology, pathophysiology, and responses of FMi, their relatively low throughput limits their utility in high-throughput testing applications. To overcome this, we developed a three-dimensional (3D)-printed model that fits in a well of a 96-well plate and can be mass-produced while also accurately replicating FMi, enabling efficient screening of drugs targeting FMi inflammation. Our model features two cell culture chambers (maternal and fetal cells) interlinked via an array of microfluidic channels. It was thoroughly validated, ensuring cell viability, metabolic activity, and cell-specific markers. The maternal chamber was exposed to lipopolysaccharides (LPS) to induce an inflammatory state, and proinflammatory cytokines in the culture supernatant were quantified. Furthermore, the efficacy of anti-inflammatory inhibitors in mitigating LPS-induced inflammation was investigated. Results demonstrated that our model supports robust cell growth, maintains viability, and accurately mimics PTB-associated inflammation. This high-throughput 3D-printed model offers a versatile platform for drug screening, promising advancements in drug discovery and PTB prevention. |
