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Background Many hormones display distinct circadian rhythms, driven by central regulators, hormonal bioavailability, and half-life. A set of 11-oxygenated C19 steroids (11-oxyandrogens) and pregnenolone sulfate (PregS) are elevated in congenital adrenal hyperplasia and other disorders, but their circadian patterns have not been characterized. Participants and methods Peripheral blood was collected every 2 h over 24 h from healthy volunteer men (10 young, 18–30 years, and 10 older, 60–80 years). We used mass spectrometry to quantify 15 steroids, including androstenedione (A4), testosterone (T), 11β-hydroxy- and 11-ketotestosterone (11OHT, 11KT),11β-hydroxy- and 11-ketoandrostenedione (11OHA4, 11KA4), and 4 ∆5-steroid sulfates. Diurnal models including mesor (rhythm adjusted median), peak, and nadir concentrations, acrophase, and amplitude were computed. Results 11OHA4 followed a rhythm similar to cortisol: acrophase 8:00 h, nadir 21:00 h and were similar in young and old men. 11KT had similar diurnal patterns, but the peak was lower in older than in young men, as was the case for A4. All four steroid sulfates were higher in young vs older men. PregS and 17-hydroxypregnenolone sulfate (17OHPregS) showed sustained elevations between 8:00 and 18:00 h, and nadirs around midnight, while DHEAS and AdiolS displayed minimal diurnal variations. All 4 11-oxyandrogens correlated tightly with cortisol (r from 0.54 for 11OHT to 0.81 for 11OHA4, P < 0.0001 for all), but very weakly with T, supporting their adrenal origin and ACTH governance. Conclusions 11-Oxyandrogens, PregS, and 17OHPregS display distinct circadian and age variations, which should be accounted for when used as clinical biomarkers.

Insulin has been shown to have major impact on muscle mitochondrial function. Recent data show that ceramide can decrease oxygen consumption and ATP production in isolated mitochondria. The aim of the present study was to determine whether insulin deficiency alters ceramide (CER) and its metabolites ‐ sphinganine (SPA), sphingosine (SPH) and sphingosine‐1‐phosphate (S1P) ‐ in mitochondrial (mt) and sarcoplasmic (src) fractions from quadriceps muscle of streptozotocin‐diabetic C57BL/6 male mice. We studied non‐diabetic controls (C); diabetic, insulin‐treated (D+); and diabetic, insulin‐deprived (D−). D− and D+ group received LinBit insulin implants, whereas C group received blank implants. Implants from D− group were removed 7 days prior to sacrifice. CER and its metabolites were measured in a tandem mass spectrometer connected to a UPLC system. Insulin deprivation increased CER in muscle src although decreased in mt. Insulin treatment normalized CER content in src, but further lowered CER content in mt, which was accompanied by elevation in mitochondrial SPH content. Changes in SPA and S1P levels in both the src and mt were non‐significant. In conclusion, diabetes and insulin have profound effects on CER concentrations in muscle subcellular fractions. C D− D+ src mt src mt src mt SPA Mean 0.34 nd 0.32 nd 0.34 nd SEM ±0.04 ±0.02 ±0.04 SPH Mean 0.44 1.63 0.61 2.15 0.47 2.55 SEM ±0.07 ±0.23 ±0.10 ±0.14 ±0.03 ±0.21 S1P Mean 0.32 1.14 0.27 1.06 0.23 0.91 SEM ±0.03 ±0.2 ±0.05 ±0.14 ±0.01 ±0.1 CER Mean 85.7 326.0 162.5 267.3 93.0 199.7 SEM ±17.4 ±38.4 ±19.8 ±24.0 ±4.4 ±11.2

OBJECTIVES: Accurate identification of acute respiratory distress syndrome is essential for understanding its epidemiology, patterns of care, and outcomes. We aimed to design a computable phenotyping strategy to detect acute respiratory distress syndrome in electronic health records of critically ill patients. DESIGN: This is a retrospective cohort study. Using a near real-time copy of the electronic health record, we developed a computable phenotyping strategy to detect acute respiratory distress syndrome based on the Berlin definition. SETTING: Twenty multidisciplinary ICUs in Mayo Clinic Health System. SUBJECTS: The phenotyping strategy was applied to 196,487 consecutive admissions from year 2009 to 2019. INTERVENTIONS: The acute respiratory distress syndrome cohort generated by this novel strategy was compared with the acute respiratory distress syndrome cohort documented by clinicians during the same period. The sensitivity and specificity of the phenotyping strategy were calculated in randomly selected patient cohort (50 patients) using the results from manual medical record review as gold standard. MEASUREMENTS AND MAIN RESULTS: Among the patients who did not have acute respiratory distress syndrome documented, the computable phenotyping strategy identified 3,169 adult patients who met the Berlin definition, 676 patients (21.3%) were classified to have severe acute respiratory distress syndrome (Pao 2/Fio 2 ratio ≤ 100), 1,535 patients (48.4%) had moderate acute respiratory distress syndrome (100 < Pao 2/Fio 2 ratio ≤ 200), and 958 patients (30.2%) had mild acute respiratory distress syndrome (200 < Pao 2/Fio 2 ratio ≤ 300). The phenotyping strategy achieved a sensitivity of 94.4%, specificity of 96.9%, positive predictive value of 94.4%, and negative predictive value of 96.9% in a randomly selected patient cohort. The clinicians documented acute respiratory distress syndrome in 1,257 adult patients during the study period. The clinician documentation rate of acute respiratory distress syndrome was 28.4%. Compared with the clinicians’ documentation, the phenotyping strategy identified a cohort that had higher acuity and complexity of illness suggested by higher Sequential Organ Failure Assessment score (9 vs 7; p < 0.0001), higher Acute Physiology and Chronic Health Evaluation score (76 vs 63; p < 0.0001), higher rate of requiring invasive mechanical ventilation (99.1% vs 71.8%; p < 0.0001), higher ICU mortality (20.6% vs 16.8%; p < 0.0001), and longer ICU length of stay (5.1 vs 4.2 d; p < 0.0001). CONCLUSIONS: Our rule-based computable phenotyping strategy can accurately detect acute respiratory distress syndrome in critically ill patients in the setting of high clinical complexity. This strategy can be applied to enhance early recognition of acute respiratory distress syndrome and to facilitate best-care delivery and clinical research in acute respiratory distress syndrome.

AbstractRecommended colorectal cancer screening modalities vary with respect to safety, efficacy, and cost. Better understanding of the factors that influence patient preference is, therefore, critical for improving population adherence to colorectal cancer screening. To address this knowledge gap, we conducted a panel survey focused on three commonly utilized colorectal cancer screening options [fecal immunochemical test or guaiac-based fecal occult blood test (FIT/gFOBT), multi-target stool DNA (mt-sDNA) test, and colonoscopy] with a national sample of U.S. adults, ages 40–75 years and at average risk of colorectal cancer, in November 2019. Of 5,097 panelists invited to participate, 1,595 completed the survey (completion rate, 31.3%). Our results showed that when presented a choice between two colorectal cancer screening modalities, more respondents preferred mt-sDNA (65.4%) over colonoscopy, FIT/gFOBT (61%) over colonoscopy, and mt-sDNA (66.9%) over FIT/gFOBT. Certain demographic characteristics and awareness of and/or experience with various screening modalities influenced preferences. For example, uninsured people were more likely to prefer stool-based tests over colonoscopy [OR, 2.53; 95% confidence interval (CI), 1.22–5.65 and OR, 2.73; 95% CI, 1.13–7.47]. People who had heard of stool-based screening were more likely to prefer mt-sDNA over FIT/gFOBT (OR, 2.07; 95% CI, 1.26–3.40). People who previously had a stool-based test were more likely to prefer FIT/gFOBT over colonoscopy (OR, 2.75; 95% CI, 1.74–4.41), while people who previously had a colonoscopy were less likely to prefer mt-sDNA or FIT/gFOBT over colonoscopy (OR, 0.39; 95% CI, 0.24–0.63 and OR, 0.40; 95% CI, 0.26–0.62). Our survey demonstrated broad patient preference for stool-based tests over colonoscopy, contrasting the heavy reliance on colonoscopy for colorectal cancer screening in clinical practice and highlighting the importance of considering patient preference in colorectal cancer screening recommendations.Prevention Relevance:Our national survey demonstrated broad patient preference for stool-based tests over colonoscopy, contrasting the heavy reliance on colonoscopy for colorectal cancer screening in clinical practice and highlighting the importance of considering patient preference in colorectal screening recommendations.

ABSTRACT Background With pathway‐specific trials in PD associated with variants in the glucocerebrosidase gene (PD GBA ) under way, we need markers that confirm the impact of genetic variants in patient‐derived biofluids in order to allow patient stratification merely based on genetics and that might serve as biochemical read‐out for target engagement. Objective To explore GBA‐pathway‐specific biomarker profiles cross‐sectionally (TUEPAC‐MIGAP, PPMI) and longitudinally (PPMI). Methods We measured enzyme activity of the lysosomal glucocerebrosidase, CSF levels of glucosylceramides (upstream substrate of glucocerebrosidase), CSF levels of ceramides (downstream product of glucocerebrosidase), lactosylceramides, sphingosines, sphingomyelin (by‐products) and CSF levels of total α‐synuclein in PD GBA patients compared to PD GBA_wildtype patients. Results Cross‐sectionally in both cohorts and longitudinally in PPMI: (1) glucocerebrosidase activity was significantly lower in PD GBA compared to PD GBA_wildtype . (2) CSF levels of upstream substrates (glucosylceramides species) were higher in PD GBA compared to PD GBA_wildtype . (3) CSF levels of total α‐synuclein were lower in PD GBA compared to PD GBA_wildtype . All of these findings were most pronounced in PD GBA with severe mutations (PD GBA_severe ). Cross‐sectionally in TUEPAC‐MIGAP and longitudinally in PPMI, CSF levels of downstream‐products (ceramides) were higher in PD GBA_severe . Cross‐sectionally in TUEPAC‐MIGAP by‐products sphinganine and sphingosine‐1‐phosphate and longitudinally in PPMI species of by‐products lactosylceramides and sphingomyelin were higher in PD GBA_severe . Interpretation These findings confirm that GBA mutations have a relevant functional impact on biomarker profiles in patients. Bridging the gap between genetics and biochemical profiles now allows patient stratification for clinical trials merely based on mutation status. Importantly, all findings were most prominent in PD GBA with severe variants. © 2021 International Parkinson and Movement Disorder Society

We conducted a survey of primary care clinicians and gastroenterologists (n = 938) between 11/06/19–12/06/19 to assess knowledge and attitudes regarding colorectal cancer screening. We assessed clinicians’ attitudes toward lowering the colorectal cancer screening initiation age to 45 years, a topic of current debate. We also evaluated provider and practice characteristics associated with agreement. Only 38.1% of primary care clinicians endorsed colorectal cancer screening initiation at age 45 years, compared to 75.5% of gastroenterologists (p < .0001). Gastroenterologists were over 5 times more likely than primary care clinicians to endorse lowering the screening initiation age (OR = 5.30, 3.54-7.93). Other factors found to be independently associated with agreement with colorectal cancer screening initiation at age 45 years included seeing more than 25 patients per day (vs. fewer) and suburban (vs. urban) location. Results emphasize the need for collaboration between primary care clinicians and gastroenterologists to ensure that patients receive consistent messaging and evidence-based care.