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Coenzyme Q (ubiquinone or Q) functions as an essential redox‐active lipid in respiratory electron and proton transport in cellular energy metabolism, and it is an important lipid‐soluble antioxidant in cellular membranes. In Saccharomyces cerevisiae, proteins Coq3‐Coq9, as well as Coq11, assemble into a multi‐subunit protein complex called the CoQ‐synthome, which is required for Q biosynthesis. Coq10, a putative steroidogenic acute regulatory (StAR)‐related lipid transfer (StART) domain protein is not a member of the CoQ‐synthome, but is required for the proper assembly of the CoQ‐synthome, efficient de novo Q biosynthesis during early‐log phase, and the function of Q in respiration and as an antioxidant. Humans possess two isoforms, namely COQ10A and COQ10B. Based on the RNA‐seq data from NCBI, COQ10A is predominantly expressed in heart while COQ10B is present in all tissues, suggesting that COQ10B is probably serving a more general role. Previous studies have shown rescue of S. cerevisiae coq10Δ respiration deficient phenotype by expression of human COQ10A. Here we present new evidence showing rescue of S. cerevisiae coq10Δ by expression of either the human COQ10A or COQ10B homolog, as determined by restoration of respiratory growth on non‐fermentable carbon sources, de novo Q biosynthesis, as well as restoration of the CoQ‐synthome. Support or Funding Information This research was supported by NSF MCB‐1330803 and Ruth L. Kirschstein National Research Service Award GM007185. This abstract is from the Experimental Biology 2018 Meeting. There is no full text article associated with this abstract published in The FASEB Journal.

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Background and Aims: Being a caregiver for a patient with chronic liver disease (CLD) can be burdensome mentally, emotionally financially, and physically. The aim of this study was to systemically review the available tools and propose tools that can comprehensively evaluate caregiver burden for individuals caring for patients with CLD. Methods: We searched the PubMed database for all studies on the impact of patients with CLD on caregiver burden without timeframe restriction. Eligible studies included cohort studies, review studies, or cross-sectional studies. The number of patients and caregivers was isolated from each paper. Studies in the same categories were isolated and statistically compared. Results: A total of 13 studies meeting our inclusion criteria as stated in the methods sections were included. In total, 2528 caregivers were taking care of 2003 patients with CLD. Women made up the majority of caregivers at 78.2%, 95.7% of whom identified as the patient's spouse. Caregiver strain index is one of the most comprehensive tools; however, the questions are very general and do not fully elucidate financial strain. Beck depression and anxiety were correlated (p=0.0001), and both depression and anxiety were correlated with perceived caregiver burden (PCB) and Zarit Burden Interview (ZBI) (p=0.002). Depression scale correlated with Interpersonal Support Evaluation-Short Form, and Model for End-Stage Liver Disease score correlated with ZBI and PCB (total and in most domains; p=0.001). Patient's poorer cognitive performance correlated with higher ZBI and PCB (employed patients had higher cognitive performance and lower ZBI and PCB). Conclusions: Caregiver burden remains poorly understood due to the lack of uniformity in the assessment tools used to evaluate caregiver burden. None of the tools used to evaluate caregiver burden are comprehensive; however, most tools correlate statistically in the ability to identify caregiver burden. A comprehensive tool is lacking for identifying caregiver burden in patients with CLD.

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