Interactions between leucines within the signal peptides of megalin and stanniocalcin-1 are crucial for regulation of mitochondrial metabolism.

The mitochondrial intracrine Stanniocalcin 1 (STC1) activates mitochondrial anti-oxidant defenses. LRP2 (megalin) shuttles STC1 to the mitochondria through retrograde early endosome-to-Golgi- and Rab32-mediated pathway, and LRP2 KO impairs mitochondrial respiration and glycolysis. We determined STC1-LRP2 interaction domains using HA- and FLAG-tagged fragments of STC1 and LRP2, respectively, co-expressed in HEK293T cells. The trans-membrane domain of LRP2 is required for trafficking to the mitochondria. STC1-FLAG expressed in LRP2 KO cells fails to reach the mitochondria; thus, mitochondrial STC1 is extracellularly-derived via LRP2-mediated trafficking. Tri-leucines L12-14 in LRP2's signal peptide interact with STC1's signal peptide. Mutant LRP2 (L(12-14)A) does not bind STC1, while hSTC1 lacking signal peptide or Leucines L8/9/11 does not bind LRP2. STC1 fails to induce respiration or glycolysis in megalin KO mouse embryonal fibroblasts (MEF) expressing mutant LRP2, while mutant hSTC1 (L8/L9/L11 - > A8/A9/A11) fails to reach the mitochondria or induce respiration and glycolysis in WT MEF. Our data suggest direct regulation of mitochondrial metabolism by extracellular cues and reveal an important role for signal peptides' leucines in protein-protein interactions and mitochondrial biology.

Patient beliefs associated with medication hesitancy in palliative care: A systematic review using the theory of planned behavior.

CONTEXT: The demand of palliative care is increasing due to the aging population and treatment hesitancy or intentional avoidance compromises symptom management. OBJECTIVES: To identify patient beliefs associated with medication hesitancy by using the theory of planned behavior (TPB) namely, attitudes, subjective norms, behavioral intention, and perceived behavioral control associated with medication hesitancy or intentional noncompliance by avoidance. METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-Analysis guideline was followed to conduct a systematic literature search involving the CINAHL, Embase, MEDLINE, and PsycINFO databases from inception until March 2022. Hand-searched articles from reference lists and gray literature were included. Thematic analysis was conducted on qualitative data and triangulated with quantitative data. RESULTS: About 554 articles were retrieved from the literature search and 17 articles were included based on the eligibility criteria. Three subthemes that were identified under TPB constructs were attitude: negative attitude toward medications, passive attitude toward illness and inaccurate information about disease or medication; one subtheme was identified under subjective norms: perceived negative opinions from others; and one subtheme was identified under perceived behavioral control: perception of manageable symptoms. Quantitative data provided triangulation of qualitative findings related to fear of addiction and side effects, feelings of hopelessness, unclear direction and information, social stigma, endurable symptoms, and illness as determinants for medication avoidance. SIGNIFICANCE OF RESULTS: This systematic review highlighted some patient beliefs related to medication hesitancy or avoidance. Clinicians should take patient beliefs and concerns into consideration when creating treatment regimens for people receiving palliative care to optimize medication adherence and the quality of care.

Factors predicting outcomes of patients with high-risk squamous cell carcinoma treated with Mohs micrographic surgery.

BACKGROUND: There is limited literature on the long-term outcomes and prognostic factors of high-risk cutaneous squamous cell carcinomas (hrSCC) treated with Mohs micrographic surgery (MMS). OBJECTIVE: To determine the rates of local recurrence, metastatic disease, and disease-specific death in hrSCCs treated with MMS and patient or tumor factors associated with poor outcomes. METHODS: Single-institution, retrospective cohort analysis of hrSCC treated with MMS alone and MMS with adjuvant therapy. RESULTS: A total of 882 cases of hrSCC treated with MMS were identified, of which 842 were treated with MMS alone, with a median follow-up time of 2.4 years. The rate of local recurrence was 2.5%, of metastatic disease was 1.9%, and of disease-specific death was 0.57%. Perineural invasion, poor differentiation, and immunosuppression were significantly associated with poor outcomes. In propensity score-matched case patients treated with adjuvant therapy and control patients treated with Mohs alone, there was no significant difference in progression-free survival, but matching was imperfect. LIMITATIONS: Single-institution, retrospective review. CONCLUSIONS: MMS remains an effective treatment for hrSCC. Current SCC staging systems may be limited by inconsistent inclusion of poor differentiation. Immunosuppression, especially transplant, should be considered a high-risk clinical feature. Further study is needed on the effect of adjuvant treatment.

Using epigenomics data to predict gene expression in lung cancer.

BACKGROUND: Epigenetic alterations are known to correlate with changes in gene expression among various diseases including cancers. However, quantitative models that accurately predict the up or down regulation of gene expression are currently lacking. METHODS: A new machine learning-based method of gene expression prediction is developed in the context of lung cancer. This method uses the Illumina Infinium HumanMethylation450K Beadchip CpG methylation array data from paired lung cancer and adjacent normal tissues in The Cancer Genome Atlas (TCGA) and histone modification marker CHIP-Seq data from the ENCODE project, to predict the differential expression of RNA-Seq data in TCGA lung cancers. It considers a comprehensive list of 1424 features spanning the four categories of CpG methylation, histone H3 methylation modification, nucleotide composition, and conservation. Various feature selection and classification methods are compared to select the best model over 10-fold cross-validation in the training data set. RESULTS: A best model comprising 67 features is chosen by ReliefF based feature selection and random forest classification method, with AUC = 0.864 from the 10-fold cross-validation of the training set and AUC = 0.836 from the testing set. The selected features cover all four data types, with histone H3 methylation modification (32 features) and CpG methylation (15 features) being most abundant. Among the dropping-off tests of individual data-type based features, removal of CpG methylation feature leads to the most reduction in model performance. In the best model, 19 selected features are from the promoter regions (TSS200 and TSS1500), highest among all locations relative to transcripts. Sequential dropping-off of CpG methylation features relative to different regions on the protein coding transcripts shows that promoter regions contribute most significantly to the accurate prediction of gene expression. CONCLUSIONS: By considering a comprehensive list of epigenomic and genomic features, we have constructed an accurate model to predict transcriptomic differential expression, exemplified in lung cancer.

Inflammasome activation and pyroptosis mediate coagulopathy and inflammation in Salmonella systemic infection.

Inflammasome activation is a critical defense mechanism against bacterial infection. Previous studies suggest that inflammasome activation protects against Salmonella oral infection. Here we find inflammasome activation plays a critical role in the pathogenesis of Salmonella systemic infection. We show that in a systemic infection model by i.p. injection of Salmonella, deficiency of caspase-1 or gasdermin-D prolonged survival time, reduced plasma concentrations of the proinflammatory cytokines IL-1ß, IL-6 and TNFα. These deficiencies also protected against coagulopathy during Salmonella infection as evidenced by diminished prolongation of prothrombin time and increase in plasma thrombin-antithrombin complex concentrations in the caspase-1 or gasdermin-D deficient mice. Activation of the NAIP/NLRC4 inflammasome by flagellin and/or the components of the SPI1 type 3 secretion system played a critical role in Salmonella-induced coagulopathy. In the absence of flagellin and SPI1, the Salmonella mutant strain still triggered coagulopathy through the caspase-11/NLRP3 pathway. Our results reveal a previously undisclosed role of the inflammasomes and pyroptosis in the pathogenesis of Salmonella systemic infection.