Three-dimensional tissue model in direct contact with an on-chip vascular bed enabled by removable membranes

Three-dimensional (3D) tissue culture is a powerful tool for understanding physiological events. However, 3D tissues still have limitations in their size, culture period, and maturity, which are caused by the...

A reference tissue forward model for improved PET accuracy using within-scan displacement studies

We report a novel forward-model implementation of the full reference tissue model (fFTRM) that addresses the fast-exchange approximation employed by the simplified reference tissue model (SRTM) by incorporating a non-zero dissociation time constant from the specifically bound compartment. The forward computational approach avoided errors associated with noisy and nonorthogonal basis functions using an inverse linear model. Compared to analysis by a multilinear single-compartment reference tissue model (MRTM), fFTRM provided improved accuracy for estimation of binding potentials at early times in the scan, with no worse reproducibility across sessions. To test the model’s ability to identify small focal changes in binding potential using a within-scan challenge, we employed a nonhuman primate model of focal dopamine release elicited by deep brain microstimulation remote to ventral striatum (VST) during imaging by simultaneous PET and fMRI. The new model reported an unambiguously lateralized response in VST consistent with fMRI, whereas the MRTM-derived response was not lateralized and was consistent with simulations of model bias. The proposed model enabled better accuracy in PET [11C]raclopride displacement studies and may also facilitate challenges sooner after injection, thereby recovering some sensitivity lost to radioactive decay of the PET tracer.

In Vitro Nasal Tissue Model for the Validation of Nasopharyngeal and Mid-turbinate Swabs for SARS-CoV-2 Testing

Large-scale population testing is a key tool to mitigate the spread of respiratory pathogens, as in the current COVID-19 pandemic, where swabs are used to collect samples in the upper airways (e.g. nasopharyngeal and mid-turbinate nasal cavities) for diagnostics. However, the high volume of supplies required to achieve large-scale population testing has posed unprecedented challenges for swab manufacturing and distribution, resulting in a global shortage that has heavily impacted testing capacity world-wide and prompted the development of new swabs suitable for large-scale production. Newly designed swabs require rigorous pre-clinical and clinical validation studies that are costly and time consuming (i.e. months to years long); reducing the risks associated with swab validation is therefore paramount for their rapid deployment. To address these shortages, we developed a 3D-printed tissue model that mimics the nasopharyngeal and mid-turbinate nasal cavities, and we validated its use as a new tool to rapidly test swab performance. In addition to the nasal architecture, the tissue model mimics the soft nasal tissue with a silk-based sponge lining, and the physiological nasal fluid with asymptomatic and symptomatic viscosities of synthetic mucus. We performed several assays comparing standard flocked and injection-molded swabs. We quantified the swab pick-up and release, and determined the effect of viral load and mucus viscosity on swab efficacy by spiking the synthetic mucus with heat-inactivated SARS-CoV-2 virus. By molecular assays, we found that injected molded swabs performed similarly or superiorly in comparison to standard flocked swabs and we underscored a viscosity-dependent difference in cycle threshold values between the asymptomatic and symptomatic mucus for both swabs. To conclude, we developed an in vitro nasal tissue model, that corroborated previous swab performance data from clinical studies, with the potential of providing researchers with a clinically relevant, reproducible, safe, and cost-effective validation tool for the rapid development of newly designed swabs.

Risk Factors of Pulmonary Tuberculosis and Countermeasures: A Literature Review

BACKGROUND: Tuberculosis is still the primary infectious disease in the world due to HIV/AIDS. In the 2015-2019 strategic plan of the Ministry of Health, infectious diseases are one of the main priorities that must create a Healthy Indonesia. The prevalence rate of pulmonary tuberculosis cases in Indonesia is 539,000 new cases each year, with the number of deaths around 101,000 per year. Acid Fast Bacilli (AFB) (+) incidence rate is around 110/ 100,000 population. AIM: This study aimed to identify the influencing factors and efforts to overcome pulmonary tuberculosis disease. MATERIALS AND METHODS: The research method was carried out by tracing the research reports/articles related to pulmonary tuberculosis incidence as many as 38 selected articles. RESULT: Factors that influence tuberculosis infection incidence include age, income level (socioeconomic), housing conditions, the behavior of opening windows every morning, smoking, and a history of contact with tuberculosis patients. There are various countermeasures undertaken to overcome pulmonary tuberculosis, one of which uses a tissue model. This model involves many stakeholders whose duty is to provide knowledge and record the number of sufferers. The stages of action to control tuberculosis include discovery, treatment, and surveillance. CONCLUSION: Facts in the field show that several factors can affect the success of implementing pulmonary tuberculosis control. Therefore, it is necessary to participate in all society components and involve other agencies beyond the health agency so the reduction in the incidence of pulmonary tuberculosis can be appropriately realized.