Urine Biopsy as Dynamic Biomarker to Enhance Clinical Staging of Bladder Cancer in Radical Cystectomy Candidates.

PURPOSE: There is significant interest in identifying complete responders to neoadjuvant chemotherapy (NAC) before radical cystectomy (RC) to potentially avoid removal of a pathologically benign bladder. However, clinical restaging after NAC is highly inaccurate. The objective of this study was to develop a next-generation sequencing-based molecular assay using urine to enhance clinical staging of patients with bladder cancer. METHODS: Urine samples from 20 and 44 patients with bladder cancer undergoing RC were prospectively collected for retrospective analysis for molecular correlate analysis from two clinical trials, respectively. The first cohort was used to benchmark the assay, and the second was used to determine the performance characteristics of the test as it correlates to responder status as measured by pathologic examination. RESULTS: First, to benchmark the assay, known mutations identified in the tissue (MT) of patients from the Accelerated Methotrexate, Vinblastine, Doxorubicin, Cisplatin trial (ClinicalTrials.gov identifier: NCT01611662, n = 16) and a cohort from University of California-San Francisco (n = 4) were cross referenced against mutation profiles from urine (MU). We then determined the correlation between MU persistence and residual disease in pre-RC urine samples from a second prospective clinical trial (The pT0 trial; ClinicalTrials.gov identifier: NCT02968732). Residual MU status correlated strongly with residual disease status (pT0 trial; n = 44; P = .0092) when MU from urine supernatant and urine pellet were assessed separately and analyzed in tandem. The sensitivity, specificity, PPV, and NPV were 91%, 50%, 86%, and 63% respectively, with an overall accuracy of 82% for this second cohort. CONCLUSION: MU are representative of MT and thus can be used to enhance clinical staging of urothelial carcinoma. Urine biopsy may be used as a reliable tool that can be further developed to identify complete response to NAC in anticipation of safe RC avoidance.

Anti-CMV IgG Seropositivity is Associated with Plasma Biomarker Evidence of Amyloid-ß Accumulation.

Background: Some human studies have identified infection with cytomegalovirus (CMV), a member of the alpha herpesvirus family, as a risk factor for Alzheimer's disease and related dementias (ADRD). To our knowledge, no studies have evaluated associations of CMV seropositivity with plasma biomarkers of ADRD risk in middle-aged adults. Objective: In participants recruited for an exercise study, we evaluated cross-sectional associations of CMV seropositivity with: Aß42/Aß40 ratio, a low ratio suggestive of central nervous system Aß accumulation; glial fibrillary acidic protein (GFAP), a measure of neuroinflammation; and neurofilament light (NfL), a measure of neurodegeneration. Methods: Anti-CMV IgG was quantified by ELISA. Plasma ADRD biomarkers were quantified using the ultrasensitive SIMOA assay. We used linear regression to evaluate associations of CMV seropositivity with the ADRD biomarkers, adjusting for age, sex, and race (n = 303; Age = 55.7±9.2 years). For ADRD biomarkers significantly associated with CMV seropositivity, we evaluated continuous associations of anti-CMV IgG levels with the ADRD biomarkers, excluding CMV seronegative participants. Results: 53% of participants were CMV seropositive. CMV seropositivity was associated with a lesser Aß42/Aß40 ratio (ß=-3.02e-03 95% CI [-5.97e-03, -7.18e-05]; p = 0.045). In CMV seropositive participants, greater anti-CMV IgG levels were associated with a lesser Aß42/Aß40 ratio (ß=-4.85e-05 95% CI[-8.45e-05, -1.25e-05]; p = 0.009). CMV seropositivity was not associated with plasma GFAP or NfL in adjusted analyses. Conclusions: CMV seropositivity was associated with a lesser plasma Aß42/Aß40 ratio. This association may be direct and causally related to CMV neuro-cytotoxicity or may be indirect and mediated by inflammatory factors resulting from CMV infection burden and/or the immune response.

Tryptophan Metabolism and Neurodegeneration: Longitudinal Associations of Kynurenine Pathway Metabolites with Cognitive Performance and Plasma Alzheimer's Disease and Related Dementias Biomarkers in the Duke Physical Performance Across the LifeSpan Study.

BACKGROUND: The kynurenine pathway (KP) comprises a family of tryptophan-derived metabolites that some studies have reported are associated with poorer cognitive performance and an increased risk of Alzheimer's disease and related dementias (ADRD). OBJECTIVE: The objective of this study was to determine the associations of plasma KP metabolites (kynurenine [KYN], kynurenic acid [KA], and tryptophan [TRP]) with a panel of plasma ADRD biomarkers (Aß42/ ß40 ratio, pTau-181, glial fibrillary acidic protein [GFAP], and neurofilament light [NfL]) and cognitive performance in a subset of older adults drawn from the Duke Physical Performance Across the LifeSpan (PALS) study. METHODS: The Montreal Cognitive Assessment (MoCA) was used to assess cognitive performance. We used multivariate multiple regression to evaluate associations of the KYN/TRP and KA/KYN ratios with MoCA score and plasma ADRD biomarkers at baseline and over two years (n = 301; Age = 74.8±8.7). RESULTS: Over two years, an increasing KYN/TRP ratio was associated with increasing plasma concentrations of plasma p-Tau181 (ß= 6.151; 95% CI [0.29, 12.01]; p = 0.040), GFAP (ß= 11.12; 95% CI [1.73, 20.51]; p = 0.020), and NfL (ß= 11.13; 95% CI [2.745, 19.52]; p = 0.009), but not MoCA score or the Aß42/Aß40 ratio. There were no significant associations of KA/KYN with MoCA score or plasma ADRD biomarkers. CONCLUSION: Our findings provide evidence that greater concentrations of KP metabolites are associated longitudinally over two years with greater biomarker evidence of neurofibrillary tau pathology (pTau-181), neuroinflammation (GFAP), and neurodegeneration (NfL), suggesting that dysregulated KP metabolism may play a role in ADRD pathogenesis.

Causal analysis identifies small HDL particles and physical activity as key determinants of longevity of older adults.

BACKGROUND: The hard endpoint of death is one of the most significant outcomes in both clinical practice and research settings. Our goal was to discover direct causes of longevity from medically accessible data. METHODS: Using a framework that combines local causal discovery algorithms with discovery of maximally predictive and compact feature sets (the "Markov boundaries" of the response) and equivalence classes, we examined 186 variables and their relationships with survival over 27 years in 1507 participants, aged ≥71 years, of the longitudinal, community-based D-EPESE study. FINDINGS: As few as 8-15 variables predicted longevity at 2-, 5- and 10-years with predictive performance (area under receiver operator characteristic curve) of 0·76 (95% CIs 0·69, 0·83), 0·76 (0·72, 0·81) and 0·66 (0·61, 0·71), respectively. Numbers of small high-density lipoprotein particles, younger age, and fewer pack years of cigarette smoking were the strongest determinants of longevity at 2-, 5- and 10-years, respectively. Physical function was a prominent predictor of longevity at all time horizons. Age and cognitive function contributed to predictions at 5 and 10 years. Age was not among the local 2-year prediction variables (although significant in univariable analysis), thus establishing that age is not a direct cause of 2-year longevity in the context of measured factors in our data that determine longevity. INTERPRETATION: The discoveries in this study proceed from causal data science analyses of deep clinical and molecular phenotyping data in a community-based cohort of older adults with known lifespan. FUNDING: NIH/NIA R01AG054840, R01AG12765, and P30-AG028716, NIH/NIA Contract N01-AG-12102 and NCRR 1UL1TR002494-01.

Kidney Cancer Incidence and Mortality Disparities Involving American Indians/Alaska Natives: An Analysis of the Oklahoma Central Cancer Registry (OCCR).

Purpose: This cohort study describes the differences in kidney cancer age-adjusted incidence and mortality rates between American Indians/Alaskan Natives (AI/ANs) and Whites in Oklahoma. Additionally, rates for the U.S. are updated to establish an epidemiological comparison between Oklahoma and the rest of the country. Materials and Methods: Kidney cancer age-adjusted incidence and mortality rates for Oklahoma were gathered using the Oklahoma Central Cancer Registry since 1999. National rates were obtained from the Center for Disease Control and Prevention Wide-ranging Online Data for Epidemiologic Research database between 1997 and 2017. Rate ratios were used to compare incidence and mortality rates for AI/ANs and Whites within Oklahoma as well as the entire country. Joinpoint regression models were created to illustrate trends in kidney cancer incidence and mortality. Results: The age-adjusted incidence rate of kidney cancer in Oklahoma for AI/ANs and Whites was 32.3 and 15.8 per 100,000, respectively, for an incidence rate ratio of 2.04. The national incidence rate ratio was 0.89. The age-adjusted mortality rate in Oklahoma for AI/ANs and Whites was 9.78 and 4.98 per 100,000, respectively, for a mortality rate ratio of 1.98. Oklahomans, irrespective of race, fare worse in terms of kidney cancer mortality compared to the rest of the country. Conclusions: In Oklahoma, AI/ANs are more likely than Whites to have a kidney cancer diagnosis. AI/ANs are twice as likely to die from kidney cancer than Whites in Oklahoma. AI/AN populations in certain states may benefit from kidney cancer early screening initiatives.

A Multidimensional Bioinformatic Platform for the Study of Human Response to Surgery.

OBJECTIVE: To design and establish a prospective biospecimen repository that integrates multi-omics assays with clinical data to study mechanisms of controlled injury and healing. BACKGROUND: Elective surgery is an opportunity to understand both the systemic and focal responses accompanying controlled and well-characterized injury to the human body. The overarching goal of this ongoing project is to define stereotypical responses to surgical injury, with the translational purpose of identifying targetable pathways involved in healing and resilience, and variations indicative of aberrant peri-operative outcomes. METHODS: Clinical data from the electronic medical record combined with large-scale biological data sets derived from blood, urine, fecal matter, and tissue samples are collected prospectively through the peri-operative period on patients undergoing 14 surgeries chosen to represent a range of injury locations and intensities. Specimens are subjected to genomic, transcriptomic, proteomic, and metabolomic assays to describe their genetic, metabolic, immunologic, and microbiome profiles, providing a multidimensional landscape of the human response to injury. RESULTS: The highly multiplexed data generated includes changes in over 28,000 mRNA transcripts, 100 plasma metabolites, 200 urine metabolites, and 400 proteins over the longitudinal course of surgery and recovery. In our initial pilot dataset, we demonstrate the feasibility of collecting high quality multi-omic data at pre- and postoperative time points and are already seeing evidence of physiologic perturbation between timepoints. CONCLUSIONS: This repository allows for longitudinal, state-of-the-art geno-mic, transcriptomic, proteomic, metabolomic, immunologic, and clinical data collection and provides a rich and stable infrastructure on which to fuel further biomedical discovery.

Calorie restriction improves lipid-related emerging cardiometabolic risk factors in healthy adults without obesity: Distinct influences of BMI and sex from CALERIE™ a multicentre, phase 2, randomised controlled trial.

BACKGROUND: For many cardiovascular risk factors there is no lower limit to which further reduction will result in decreased disease risk; this includes values within ranges considered normal for healthy adults. This seems to be true for new emerging metabolic risk factors identified by innovative technological advances. Further, there seems to be ever evolving evidence of differential responses to lifestyle interventions by sex and body compositions in the normal range. In this secondary analysis, we had the opportunity to test these principles for newly identified molecular biomarkers of cardiometabolic risk in a young (21-50 years), normal weight healthy population undergoing calorie restriction for two years. METHODS: The Comprehensive Assessment of Long-term Effects of Reducing Intake of Energy (CALERIE™) was a 24-month, multicenter, randomized controlled trial (May 2007-November 2012) in healthy, adults without obesity to evaluate the potential for calorie restriction (CR) to promote anti-aging adaptations, including those associated with disease risk. 218 participants (age 37.9 ± 7.2 years and body mass index (BMI) 25.1 ± 1.7 kg/m2, mean±SD) were randomized 2:1 to 24 months of CR (prescribed as 25% reduction from baseline calorie intake) versus ad libitum (AL). Fasting plasma from baseline, 12, and 24 months was used for assessments of lipoproteins, metabolites, and inflammatory markers using nuclear magnetic resonance spectroscopy. FINDINGS: Averaging 11.9% CR, the CR group had reductions at 12 and 24 months in the cardiovascular disease risk markers, apolipoprotein B and GlycA, and risks for insulin resistance and type 2 diabetes-Lipoprotein Insulin Resistance Index and Diabetes Risk Index (all PCRvsAL ≤0.0009). Insulin resistance and diabetes risk improvements resulted from CR-induced alterations in lipoproteins, specifically reductions in triglyceride-rich lipoprotein particles and low-density lipoprotein particles, a shift to larger high-density lipoprotein particles (more effective cholesterol transporters), and reductions in branched chain amino acids (BCAAs) (all PCRvsAL ≤0.004). These CR responses were more pronounced in overweight than normal weight participants and greater in men than women. INTERPRETATION: In normal to slightly overweight adults without overt risk factors or disease, 12 months of ∼12% CR improved newly identified risk markers for atherosclerotic cardiovascular disease, insulin resistance and type 2 diabetes. These markers suggest that CR improves risks by reducing inflammation and BCAAs and shifting lipoproteins from atherogenic to cholesterol transporting. Additionally, these improvements are greater for men and for those with greater BMIs indicating sex and BMI-influences merit attention in future investigations of lifestyle-mediated improvements in disease risk factors. FUNDING: The CALERIE™ trial design and implementation were supported by a National Institutes of Health (NIH) U-grant provided to four institutions, the three intervention sites and a coordinating center (U01 AG022132, U01 AG020478, U01 AG020487 U01 AG020480). For this secondary analysis including sample acquisition and processing, data analysis and interpretation, additional funding was provided by the NIH to authors as follows: R01 AG054840 (MO, VBK); R33 AG070455 (KMH, DCP, MB, SBR, CKM, LMR, SKD, CFP, CJR, WEK); P30 DK072476 (CKM, LMR); and U54 GM104940 (CKM, LMR).

Monocyte miRNAs Are Associated With Type 2 Diabetes.

miRNAs are small noncoding RNAs that may contribute to common diseases through epigenetic regulation of gene expression. Little is known regarding the role of miRNAs in type 2 diabetes (T2D). We performed miRNA sequencing and transcriptomic profiling of peripheral monocytes from the longitudinal Multi-Ethnic Study of Atherosclerosis (MESA) (N = 1,154). We examined associations between miRNAs and prevalent impaired fasting glucose and T2D and evaluated the T2D-associated miRNA effect on incident T2D. Of 774 detected miRNAs, 6 (miR-22-3p, miR-33a-5p, miR-181c-5p, miR-92b-3p, miR-222-3p, and miR-944) were associated with prevalent T2D. For five of the six miRNAs (all but miR-222-3p), our findings suggest a dose-response relationship with impaired fasting glucose and T2D. Two of the six miRNAs were associated with incident T2D (miR-92b-3p: hazard ratio [HR] 1.64, P = 1.30E-03; miR-222-3p: HR 1.97, P = 9.10E-03) in the highest versus lowest tertile of expression. Most of the T2D-associated miRNAs were also associated with HDL cholesterol concentrations. The genes targeted by these miRNAs belong to key nodes of a cholesterol metabolism transcriptomic network. Higher levels of miRNA expression expected to increase intracellular cholesterol accumulation in monocytes are linked to an increase in T2D risk.

A phase 2 trial of the somatostatin analog pasireotide to prevent GI toxicity and acute GVHD in allogeneic hematopoietic stem cell transplant.

BACKGROUND: Allogeneic hematopoietic stem cell transplantation (HCT) is an often curative intent treatment, however it is associated with significant gastrointestinal (GI) toxicity and treatment related mortality. Graft-versus-host disease is a significant contributor to transplant-related mortality. We performed a phase 2 trial of the somatostatin analog pasireotide to prevent gastrointestinal toxicity and GVHD after myeloablative allogeneic HCT. METHODS: Patients received 0.9mg pasireotide every 12 hours from the day prior to conditioning through day +4 after HCT (or a maximum of 14 days). The primary outcomes were grade 3-4 gastrointestinal toxicity through day 30 and acute GVHD. Secondary outcomes were chronic GVHD, overall survival and relapse free survival at one year. Stool and blood samples were collected from before and after HCT for analyses of stool microbiome, local inflammatory markers, and systemic inflammatory and metabolic markers. Results were compared with matched controls. RESULTS: Twenty-six patients received pasireotide and were compared to 52 matched contemporaneous controls using a 1-2 match. Grade 3-4 GI toxicity occurred in 21 (81%) patients who received pasireotide and 35 (67%) controls (p = 0.33). Acute GVHD occurred in 15 (58%) patients in the pasireotide group and 28 (54%) controls (p = 0.94). Chronic GVHD occurred in 16 patients in the pasireotide group (64%) versus 22 patients in the control group (42%) (p = 0.12). Overall survival at 1 year in the pasireotide group was 63% (95% CI: 47%,86%) versus 82% (95% CI: 72%, 93%) in controls (log-rank p = 0.006). Relapse-free survival rate at one year was 40% (95% CI: 25%, 65%) in the pasireotide group versus 78% (95% CI: 68%, 91%) in controls (log-rank p = 0.002). After controlling for the effect of relevant covariates, patients in the pasireotide group had attenuated post-HCT loss of microbial diversity. Analysis of systemic inflammatory markers and metabolomics demonstrated feasibility of such analyses in patients undergoing allogeneic HCT. Baseline level and pre-to-post transplant changes in several inflammatory markers (including MIP1a, MIP1b, TNFa, IL8Pro, and IL6) correlated with likelihood of survival. CONCLUSIONS: Pasireotide did not prevent gastrointestinal toxicity or acute GVHD compared to contemporaneous controls. Pasireotide was associated with numerically higher chronic GVHD and significantly decreased OS and RFS compared to contemporaneous controls. Pasireotide may provide a locally protective effect in the stool microbiome and in local inflammation as measured by stool calprotectin, stool beta-defensin, and stool diversity index.

Cystoscopy and Systematic Bladder Tissue Sampling in Predicting pT0 Bladder Cancer: A Prospective Trial.

PURPOSE: Concern for discordance between clinical staging and final pathology drives current management of patients deemed appropriate candidates for radical cystectomy. Therefore, we set out to prospectively investigate reliability and shortcomings of cystoscopic evaluation in radical cystectomy candidates. MATERIALS AND METHODS: Patients undergoing radical cystectomy for urothelial carcinoma were enrolled in a prospective single-arm study to evaluate reliability of Systematic Endoscopic Evaluation in predicting pT0 urothelial carcinoma (NCT02968732). Systematic Endoscopic Evaluation consisted of cystoscopy and tissue sampling at the time of radical cystectomy. Systematic Endoscopic Evaluation results were compared to radical cystectomy pathology. The primary end point was the negative predictive value of Systematic Endoscopic Evaluation findings in predicting radical cystectomy pathology. RESULTS: A total of 61 patients underwent Systematic Endoscopic Evaluation and radical cystectomy. Indications included muscle invasive bladder cancer in 42 (68.9%) and high risk nonmuscle invasive bladder cancer in 19 (31.1%). In all, 38 (62.3%, 90.5% of patients with muscle invasive bladder cancer) received neoadjuvant chemotherapy. On Systematic Endoscopic Evaluation, 31 (50.8%) patients demonstrated no visual nor biopsy-based evidence of disease (seeT0), yet 16/31 (51.6%) harbored residual disease (>pT0), including 8 (8/31, 25.8%) with residual ≥pT2 disease upon radical cystectomy. The negative predictive value of Systematic Endoscopic Evaluation predicting a pT0 bladder was 48.4% (CI 30.2-66.9), which was below our prespecified hypothesis. Therefore, the trial was stopped for futility. CONCLUSIONS: Approximately 1 of 4 patients with seeT0 at the time of radical cystectomy harbored residual muscle invasive bladder cancer. These prospective data definitively confirm major limitations of endoscopic assessment for pT0 bladder cancer. Future work should focus on novel imaging and biomarker strategies to optimize evaluations before radical cystectomy for improved decision making regarding bladder preservation.

Biomarkers Associated with Physical Resilience After Hip Fracture.

BACKGROUND: Clinically similar older adults demonstrate variable responses to health stressors, heterogeneity attributable to differences in physical resilience. However, molecular mechanisms underlying physical resilience are unknown. We previously derived a measure of physical resilience after hip fracture-the expected recovery differential (ERD)-that captures the difference between actual recovery and predicted recovery. Starting with biomarkers associated with physical performance, morbidity, mortality, and hip fracture, we evaluated associations with the ERD to identify biomarkers of physical resilience after hip fracture. METHODS: In the Baltimore Hip Studies (N = 304) sera, we quantified biomarkers of inflammation (TNFR-I, TNFR-II, sVCAM-1, and IL-6), metabolic and mitochondrial function (non-esterified fatty acids, lactate, ketones, acylcarnitines, free amino acids, and IGF-1), and epigenetic dysregulation (circulating microRNAs). We used principal component analysis, canonical correlation, and least absolute shrinkage and selection operator regression (LASSO) to identify biomarker associations with better-than-expected recovery (greater ERD) after hip fracture. RESULTS: Participants with greater ERD were more likely to be women and less disabled at baseline. The complete biomarker set explained 37% of the variance in ERD (p < .001) by canonical correlation. LASSO regression identified a biomarker subset that accounted for 27% of the total variance in the ERD and included a metabolic factor (aspartate/asparagine, C22, C5:1, lactate, glutamate/mine), TNFR-I, miR-376a-3p, and miR-16-5p. CONCLUSIONS: We identified a set of biomarkers that explained 27% of the variance in ERD-a measure of physical resilience after hip fracture. These ERD-associated biomarkers may be useful in predicting physical resilience in older adults facing hip fracture and other acute health stressors.

The changing landscape in the management of newly diagnosed castration sensitive metastatic prostate cancer.

Metastatic prostate cancer is a heterogeneous disease entity. Men without prior androgen deprivation therapy exposure are termed metastatic castration sensitive prostate cancer (mCSPC). The goal of this article is to update the reader on the rapidly changing landscape of treatment for men with mCSPC. Along with the options available to the clinician for treatment of men with mCSPC, the care of these patients has evolved into a multi-disciplinary field with expanding roles for medical, urologic, and radiation oncologists.

Association of Blood Chemistry Quantifications of Biological Aging With Disability and Mortality in Older Adults.

Quantification of biological aging has been proposed for population surveillance of age-related decline in system integrity and evaluation of geroprotective therapies. However, methods of quantifying biological aging have been little studied in geriatric populations. We analyzed three clinical-biomarker-algorithm methods to quantify biological aging. Klemera-Doubal method Biological Age and homeostatic dysregulation algorithms were parameterized from analysis of U.S. National Health and Nutrition Examination Surveys (NHANES) data (N = 36,207) based on published methods. Levine method Biological Age was adapted from published analysis of NHANES data. Algorithms were applied to biomarker data from the Duke Established Populations for Epidemiologic Studies of the Elderly (Duke-EPESE) cohort of older adults (N = 1,374, aged 71-102 years, 35% male, 52% African American). We tested associations of biological aging measures with participant reported Activities of daily living (ADL), instrumental activities of daily living (IADL) dependencies, and mortality. We evaluated the sensitivity of results to the demographic composition of reference samples and biomarker sets used to develop biological aging algorithms. African American and white Duke-EPESE participants with more advanced biological aging reported dependence in more ADLs and IADLs and were at increased risk of death over follow-up through 2017. Effect sizes were similar across algorithms, but were strongest for Levine method Biological Age (per-quintile increase in ADL incidence rate ratio = 1.25, 95% confidence interval [1.17-1.37], IADL incidence rate ratio = 1.23 [1.15-1.32], mortality hazard ratio = 1.12 [1.08-1.16]). Results were insensitive to demographic composition of reference samples, but modestly sensitive to the biomarker sets used to develop biological aging algorithms. Blood-chemistry-based quantifications of biological aging show promise for evaluating the effectiveness of interventions to extend healthy life span in older adults.

Thyroid Hormone Status Regulates Skeletal Muscle Response to Chronic Motor Nerve Stimulation.

Although both exercise and thyroid hormone (TH) status can cause cellular and metabolic changes in skeletal muscle, the impact of TH status on exercise-associated changes is not well understood. Here, we examined the effects of TH status on muscle fiber type, cell signaling, and metabolism in a rabbit model of exercise training - chronic motor nerve stimulation (CMNS). Five rabbits were rendered hypothyroid for 7-8 weeks and three rabbits were made hyperthyroid for 2 weeks prior to CMNS of the left peroneal nerve for 10 days. We then measured markers of muscle fiber type, autophagy, and nutrient- or energy-sensing proteins, and metabolic intermediates. CMNS increased MHC-I expression in hypothyroid rabbits, whereas it was unchanged in hyperthyroid rabbits. CMNS also increased p-AMPK, p-ATGL, CPT-1α, p-Akt, GLUT4, and p-70S6K in hypothyroid rabbits. In contrast, p-AMPK and p-AKT were increased at baseline in hyperthyroid rabbits, but CMNS did not further increase them or any of the other markers. CMNS also increased TCA cycle and acylcarnitine metabolites in hypothyroid rabbits; whereas, acylcarnitines were already elevated in hyperthyroid rabbits, and were only slightly increased further by CMNS. In summary, CMNS effects on cell signaling and metabolism of skeletal muscle were more pronounced in the hypothyroid than the hyperthyroid state. Interestingly, in the hypothyroid state, CMNS caused concomitant activation of two signaling pathways that are usually reciprocally regulated - AMPK and mTOR signaling - which manifested as increased ß-oxidation, MHC-I expression, and protein synthesis. Thus, our findings provide insight into the role of TH status on exercise response in muscle. Our observations suggest that TH status of patients may be an important determinant and predictor of their response to exercise training in skeletal muscle.

Association of Low Socioeconomic Status With Adverse Prostate Cancer Pathology Among African American Men Who Underwent Radical Prostatectomy.

BACKGROUND: We tested for associations between socioeconomic status (SES) and adverse prostate cancer pathology in a population of African American (AA) men treated with radical prostatectomy (RP). PATIENTS AND METHODS: We retrospectively reviewed data from 2 institutions for AA men who underwent RP between 2010 and 2015. Household incomes were estimated using census tract data, and patients were stratified into income groups relative to the study population median. Pathologic outcomes after RP were assessed, including the postsurgical Cancer of the Prostate Risk Assessment (CAPRA-S) score and a definition of adverse pathology (stage ≥ pT3, Gleason score ≥ 4+3, or positive lymph nodes), and compared between income groups. RESULTS: We analyzed data of 347 AA men. Median household income was $37,954. Low-SES men had significantly higher prostate-specific antigen values (mean 10.2 vs. 7.3; P < .01) and CAPRA-S scores (mean 3.4 vs. 2.5; P < .01), more advanced pathologic stage (T3-T4 31.8% vs. 21.5%; P = .03), and higher rates of seminal vesicle invasion (17.3% vs. 8.2%; P < .01), positive surgical margins (35.3% vs. 22.1%; P < .01), and adverse pathology (41.4% vs. 30.1%; P = .03). Linear and logistic regression showed significant inverse associations of SES with CAPRA-S score (P < .01) and adverse pathology (P = .03). CONCLUSION: In a population of AA men who underwent RP, we observed an independent association of low SES with advanced stage or aggressive prostate cancer. By including only patients in a single racial demographic group, we eliminated the potential confounding effect of race on the association between SES and prostate cancer risk. These findings suggest that impoverished populations might benefit from more intensive screening and early, aggressive treatment of prostatic malignancies.

Prediction of significant estimated glomerular filtration rate decline after renal unit removal to aid in the clinical choice between radical and partial nephrectomy in patients with a renal mass and normal renal function.

OBJECTIVES: To develop a clinically applicable predictive model to quantitate the risk of estimated glomerular filtration rate (eGFR) decline to ≤45 mL/min/1.73 m2 after radical nephrectomy (RN) to better inform decisions between RN and partial nephrectomy (PN). PATIENTS AND METHODS: Our prospectively maintained kidney cancer registry was reviewed for patients with a preoperative eGFR >60 mL/min/1.73 m2 who underwent RN for a localized renal mass. New baseline renal function was indexed. We used multivariable logistic regression to develop a predictive nomogram and evaluated it using receiver-operating characteristic (ROC) analysis. Decision-curve analysis was used to assess the net clinical benefit. RESULTS: A total of 668 patients met the inclusion criteria, of whom 183 (27%) experienced a decline in eGFR to ≤45 mL/min/1.73 m2 . On multivariable analysis, increasing age (P = 0.001), female gender (P < 0.001), and increasing preoperative creatinine level (P < 0.001) were associated with functional decline. We constructed a predictive nomogram that included these variables in addition to comorbidities with a known association with kidney disease, but found that a simplified model excluding comorbidities was equally robust (cross-validated area under the ROC curve was 0.78). Decision-curve analysis showed the net clinical benefit at probabilities >~11%. CONCLUSIONS: The decision to perform RN vs PN is multifaceted. We have provided a simple quantitative tool to help identify patients at risk of a postoperative eGFR of ≤45 mL/min/1.73 m2 , who may be stronger candidates for nephron preservation.

Risk of Ovarian Malignancy in Patients Undergoing Radical Cystectomy for Bladder Cancer.

OBJECTIVE: To determine whether there is an increased risk of ovarian cancer in women undergoing radical cystectomy (RC) for bladder cancer using a large population-based data source. Current American Urologic Association guidelines suggest removal of ovaries during RC in women with bladder cancer, presumably to mitigate the risk ovarian cancer. However, recent data have demonstrated an increased risk of all-cause mortality, cardiovascular disease, osteoporosis, cognitive impairment, and diminished sexual function in some populations of women after oophorectomy. METHODS: We queried the surveillance, epidemiology and end results (SEER) database for all women with a diagnosis of primary bladder cancer who underwent RC between 1998 and 2010. Patients with concurrent or subsequent primary ovarian cancer were then identified using the SEER multiple primaries dataset. Multiple primary standardized incidence ratio was calculated as an estimate of the relative risk of a concurrent or subsequent ovarian malignancy using SEER*Stat software. RESULTS: A total of 1851 women met inclusion criteria for analysis. Of this population, 221 (11.9%) women developed a subsequent nonbladder malignancy, of which 2 (0.11%) women developed subsequent ovarian cancer during the observation period. Multiple primary standardized incidence ratio for development of an ovarian malignancy was 2/4 (0.50). CONCLUSION: The risk of concurrent or subsequent ovarian malignancy in women undergoing RC for bladder cancer is very low. Therefore, oophorectomy at the time of RC may be obviated in order to mitigate the undue risk of cardiovascular disease, osteoporosis, cognitive impairment, and diminished sexual function.

Should Structured Exercise Be Promoted As a Model of Care? Dissemination of the Department of Veterans Affairs Gerofit Program.

Exercise provides a wide range of health-promoting benefits, but support is limited for clinical programs that use exercise as a means of health promotion. This stands in contrast to restorative or rehabilitative exercise, which is considered an essential medical service. We propose that there is a place for ongoing, structured wellness and health promotion programs, with exercise as the primary therapeutic focus. Such programs have long-lasting health benefits, are easily implementable, and are associated with high levels of participant satisfaction. We describe the dissemination and implementation of a long-standing exercise and health promotion program, Gerofit, for which significant gains in physical function that have been maintained over 5 years of follow-up, improvements in well-being, and a 10-year 25% survival benefit among program adherents have been documented. The program has been replicated at 6 Veterans Affairs Medical Centers. The pooled characteristics of enrolled participants (n = 691) demonstrate substantial baseline functional impairment (usual gait speed 1.05 ± 0.3 m/s, 8-foot up and go 8.7 ± 6.7 seconds, 30-second chair stands 10.7 ± 5.1, 6-minute walk distance 404.31 ± 141.9 m), highlighting the need for such programs. Change scores over baseline for 3, 6, and 12 months of follow-up are clinically and statistically significant (P < .05 all measures) and replicate findings from the parent program. Patient satisfaction ratings of high ranged from 88% to 94%. We describe the implementation process and present 1-year outcomes. We suggest that such programs be considered essential elements of healthcare systems.