There is a pressing need for effective therapeutics for coronavirus disease 2019 (COVID-19), the respiratory disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) virus. The process of drug development is a costly and meticulously paced process, where progress is often hindered by the failure of initially promising leads. To aid this challenge, in vitro human microphysiological systems need to be refined and adapted for mechanistic studies and drug screening, thereby saving valuable time and resources during a pandemic crisis. The SARS-CoV-2 virus attacks the lung, an organ where the unique three-dimensional (3D) structure of its functional units is critical for proper respiratory function. The in vitro lung models essentially recapitulate the distinct tissue structure and the dynamic mechanical and biological interactions between different cell types. Current model systems include Transwell, organoid and organ-on-a-chip or microphysiological systems (MPSs). We review models that have direct relevance toward modeling the pathology of COVID-19, including the processes of inflammation, edema, coagulation, as well as lung immune function. We also consider the practical issues that may influence the design and fabrication of MPS. The role of lung MPS is addressed in the context of multi-organ models, and it is discussed how high-throughput screening and artificial intelligence can be integrated with lung MPS to accelerate drug development for COVID-19 and other infectious diseases.

Infectious diseases remain a public healthcare concern worldwide. Amidst the pandemic of coronavirus disease 2019 (COVID-19) caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection, increasing resources have been diverted to investigate the therapeutics targeting COVID-19 Spike glycoprotein and to develop various classes of vaccines. Most of the current investigations employ two-dimensional (2D) cell culture and animal models. However, 2D culture negates the multicellular interactions and 3D microenvironment, and animal models cannot mimic human physiology because of interspecies differences. On the other hand, organ-on-a-chip (OoC) research devices introduce a game-changer to model viral infections in human tissues, facilitating high-throughput screening of antiviral therapeutics. In this context, this review provides an overview of the in vitro OoC-based modeling of viral infection, highlighting the strengths and challenges for the future directions.

Secreted phosphoprotein 24 kDa (spp24) is a bone morphogenetic protein (BMP)/transforming growth factor-β cytokine-binding protein. The spp24 BMP-2-binding/transforming growth factor receptor II homology-1 (TRH1) domain is a highly conserved N-to-C terminally disulfide-bonded 19-amino acid residue loop similar to those in fetuin and the BMP receptor II. TRH1 domains exhibit a characteristic BTB or β-pleated sheet/turn/β-pleated sheet secondary structure. Our objective was to identify amino acid residues in the spp24 TRH1 domain that bind BMP-2, starting with the nine invariant mammalian residues. Alanine scanning (substitution of Ala for a native residue) was conducted for Cys(110), Arg(111), Ser(112), Thr(113), Val(114), Ser(117), Val(121), Val(124), and Cys(128) of recombinant bovine spp24 (residues 24-203). Binding to rhBMP-2 was assessed by surface plasmon resonance, and the equilibrium binding constants were calculated assuming 1:1 binding between spp24 or its mutants and rhBMP-2, so that affinity = K(D) = k(d)/k(a). Replacing Arg(111) (a positively charged basic residue), polar residues Thr(113) and Ser(117), and the nonpolar Cys(128) with Ala had little effect on BMP-2 binding. Replacing Val(114) or Val(121) with Ala increased binding affinity, whereas replacing Cys(110), Ser(112), Val(124), or both Cys(110) and Cys(128) with Ala decreased it. The kinetics of spp24 binding to BMP-2 can be manipulated by replacing invariant TRH1 residues. Decreasing the relative degree of hydrophobicity in the β-pleated sheet secondary structural motif of the TRH1 domain by replacing key Val residues with Ala increased the affinity for BMP-2 whereas altering the composition of the α-helical turn did not. Thus, the β-pleated sheets play a greater role in BMP-2 binding than the α-helical turn.