A synthetic biology approach for the treatment of pollutants with microalgae.

The increase in global population and industrial development has led to a significant release of organic and inorganic pollutants into water streams, threatening human health and ecosystems. Microalgae, encompassing eukaryotic protists and prokaryotic cyanobacteria, have emerged as a sustainable and cost-effective solution for removing these pollutants and mitigating carbon emissions. Various microalgae species, such as C. vulgaris, P. tricornutum, N. oceanica, A. platensis, and C. reinhardtii, have demonstrated their ability to eliminate heavy metals, salinity, plastics, and pesticides. Synthetic biology holds the potential to enhance microalgae-based technologies by broadening the scope of treatment targets and improving pollutant removal rates. This review provides an overview of the recent advances in the synthetic biology of microalgae, focusing on genetic engineering tools to facilitate the removal of inorganic (heavy metals and salinity) and organic (pesticides and plastics) compounds. The development of these tools is crucial for enhancing pollutant removal mechanisms through gene expression manipulation, DNA introduction into cells, and the generation of mutants with altered phenotypes. Additionally, the review discusses the principles of synthetic biology tools, emphasizing the significance of genetic engineering in targeting specific metabolic pathways and creating phenotypic changes. It also explores the use of precise engineering tools, such as CRISPR/Cas9 and TALENs, to adapt genetic engineering to various microalgae species. The review concludes that there is much potential for synthetic biology based approaches for pollutant removal using microalgae, but there is a need for expansion of the tools involved, including the development of universal cloning toolkits for the efficient and rapid assembly of mutants and transgenic expression strains, and the need for adaptation of genetic engineering tools to a wider range of microalgae species.

A Simple Equation to Estimate Urinary Flow Rate Using Urine Creatinine.

BACKGROUND: Accurate assessment of urine flow remains challenging in both inpatient and outpatient settings. We hypothesized we could derive an equation that would accurately estimate urine flow rate (eV) through derivation from other existing equations commonly used in nephrology clinical practice. METHODS: The eV equation was derived using the Cockcroft-Gault and the measured creatinine clearance (CrCl = UCrV/PCr) equations. Within the African American Study of Kidney Disease and Hypertension (AASK; n = 570) and COMBINE (n = 133) clinical trials, we identified participants with concordant estimated and measured creatinine excretion rates to define a subset with highly accurate 24-h urine collections, to assure a reliable gold standard. We then compared eV to measured 24-h urine flow rates in these trials. RESULTS: In AASK, we found a high correlation between eV and measured urine flow rate (V; r = 0.91, p < 0.001); however, Bland-Altman plots showed that eV was 9.5 mL/h lower than V, on average. Thus, we added a correction factor to the eV equation and externally validated the new equation in COMBINE. eV and V were again highly correlated (r = 0.91, p < 0.001), and bias was improved (mean difference 5.3 mL/h). Overall, 80% of individuals had eV that was within 20% of V. CONCLUSIONS: A simple equation using urine creatinine, demographics, and body weight can accurately predict urine flow rate and may have clinical utility in situations where it is difficult to accurately measure the urine flow rate.

Hemoperitoneum as a Consequence of Colonoscopy.

Hemoperitoneum without evidence of organ damage is a rare complication of colonoscopy. It is most frequently seen in association with splenic rupture due to traction on the splenocolic ligament. In our case, we present a 48-year-old cirrhotic man who developed peritoneal bleeding during a diagnostic colonoscopy for iron deficiency anemia. However, he was without signs of splenic damage or colon perforation. We suggest that the most likely source of bleeding is a ruptured portal-caval collateral vessel based on a computed tomography performed following the procedure.

Development of novel smart device based application for serial wound imaging and management.

Burn wound photography has diverse clinical applications; however, inherent technological limitations mitigate its utility. Limitations include lack of quality control, serial imaging, complexity, and expense. With the performance gap between smart devices and digital cameras rapidly narrowing, and computing performance increasing, smart devices are poised to uniquely address these limitations and enhance the field of wound photography. To this end, we developed a proof-of-concept smart device application addressing the limitations of traditional photography and meeting the needs of burn clinicians. The result was an innovative smart device application providing user-friendly serial imaging and informatics capabilities at the patient bedside. The application generated images with significantly higher brightness (2.4±1.07 vs. 3.8±1.69, n=15, p<0.05) and higher contrast (255±0.00 vs. 236.3±5.64, n=15, p<0.0001), more consistent positioning (1.22±0.03 vs. 2.08±0.61, n=15, p<0.0001) and zoom (18.14 vs. 14.29, n=15, p<0.0001) compared to those taken by a basic compact digital camera using default settings. Surveyed clinician end-users reported greater functionality (20 vs. 0, n=20, p<0.001), and a more intuitive interface (18 vs. 2, n=20, p<0.001) with the application. We report consistent serial wound imaging and informatics are both feasible on a smart device platform. These findings will pave the way for new smart device-based clinical applications.