Citations

Abstract Rationale Pulmonary complications contribute significantly to nonrelapse mortality following hematopoietic stem cell transplantation (HCT). Identifying patients at high risk can help enroll such patients into clinical studies to better understand, prevent, and treat posttransplantation respiratory failure syndromes. Objectives To develop and validate a prediction model to identify those at increased risk of acute respiratory failure after HCT. Methods Patients underwent HCT between January 1, 2019, and December 31, 2021, at one of three institutions. Those treated in Rochester, MN, formed the derivation cohort, and those treated in Scottsdale, AZ, or Jacksonville, FL, formed the validation cohort. The primary outcome was the development of acute respiratory distress syndrome (ARDS), with secondary outcomes including the need for invasive mechanical ventilation (IMV) and/or noninvasive ventilation (NIV). Predictors were based on prior case-control studies. Measurements and Main Results Of 2,450 patients undergoing stem cell transplantation, there were 1,718 hospitalizations (888 patients) in the training cohort and 1,005 hospitalizations (470 patients) in the test cohort. A 22-point model was developed, with 11 points from prehospital predictors and 11 points from posttransplantation or early (<24-h) in-hospital predictors. The model performed well in predicting ARDS (C-statistic, 0.905; 95% confidence interval [CI], 0.870–0.941) and the need for IMV and/or NIV (C-statistic, 0.863; 95% CI, 0.828–0.898). The test cohort differed markedly in demographic, medical, and hematologic characteristics. The model also performed well in this setting in predicting ARDS (C-statistic, 0.841; 95% CI, 0.782–0.900) and the need for IMV and/or NIV (C-statistic, 0.872; 95% CI, 0.831–0.914). Conclusions A novel prediction model incorporating data elements from the pretransplantation, posttransplantation, and early in-hospital domains can reliably predict the development of post-HCT acute respiratory failure.

Cachexia is a debilitating skeletal muscle wasting condition for which we currently lack effective treatments. In the context of cancer, certain chemotherapeutics cause DNA damage and cellular senescence. Senescent cells exhibit chronic activation of the transcription factor NF-κB, a known mediator of the proinflammatory senescence-associated secretory phenotype (SASP) and skeletal muscle atrophy. Thus, targeting NF-κB represents a logical therapeutic strategy to alleviate unintended consequences of genotoxic drugs. Herein, we show that treatment with the IKK/NF-κB inhibitor SR12343 during a course of chemotherapy reduces markers of cellular senescence and the SASP in liver, skeletal muscle, and circulation and, correspondingly, attenuates features of skeletal muscle pathology. Lastly, we demonstrate that SR12343 mitigates chemotherapy-induced reductions in body weight, lean mass, fat mass, and muscle strength. These findings support senescent cells as a promising druggable target to counteract the SASP and skeletal muscle wasting in the context of chemotherapy.

Introduction Atrial fibrillation/flutter (Afib) contributes independently to the hematopoietic cell transplant comorbidity index (HCTCI) and is a known complication of allogeneic hematopoietic transplantation (AlloHCT) which has been linked to inferior outcomes, particularly in older patients. An electrocardiogram (ECG)-based artificial intelligence (AI) algorithm to predict Afib and cardiac contractile dysfunction risk has been validated (Lancet 394:861, 2019). We hypothesized that assessment of pre-transplant Afib risk using the AI algorithm may predict future development of Afib and help identify patients at higher risk for this complication. Methods 191 consecutive MDS patients undergoing AlloHCT with curative intent using myeloablative (28.3%) or reduced intensity conditioning (62.3%) in the Mayo Clinic Comprehensive Cancer Center (Rochester, Jacksonville, Phoenix) between November 2015 and January 2022 were included in this retrospective analysis. Primary outcome was Afib within 100 days and 365 days of transplantation, and we also assessed the outcomes of Death and Relapse. Revised IPSS (IPSS-R) and HCTCI scores were included for all patients. Elevated Afib risk score using the AI algorithm was calculated from pre-transplant ECG, performed during vital organ testing at AlloHCT clearance. In addition to left ventricular (LV) ejection fraction (EF) we evaluated detailed echocardiographic (Echo) parameters including LV volume and mass indices, left atrial volume index (LAVI), maximum trans mitral flow velocities during LV filling (E velocity) and during the diastolic phase due to atrial contraction (A velocity), the velocity of the annulus away from the apex during the protodiastolic phase (e' velocity), E/A and E/e' ratios, the presence of valvular disease, and right ventricular systolic pressure (RVSP). We performed an analysis using a Cox proportional hazards regression models (adjusting for age and sex) to evaluate associations with Afib risk, Relapse, and Overall Survival. Results The median age was 64 years (18-75), 58.6% were male, 6.9% non-white race, and 3.7% Hispanic/Latino ethnicity. Most patients had an HCTCI score of 0-3 (76.3%). GVHD prophylaxis was predominantly with calcineurin inhibitor-based regimes plus/minus methotrexate or mycophenolate mofetil (83.8%). 5.2% of patients had a history of Afib before transplant. Non-relapse mortality was 7.9% at 100 days, and 18.3% at 365 days. N=25 patients (13.1%) developed Afib within 100 days, and n=28 (14.7%) within 1-year after AlloHCT. On multivariable analysis, Age [Hazard Ratio (HR) 2.83, 95% Confidence Interval (CI) 1.36-5.89, p=0.0055] and Echo parameters [including LAVI (HR 2.10, CI 1.23-3.58, p=0.0067), E velocity (HR 3.28, CI 1.29-8.80, p=0.013), E/A ratio (HR 3.74, CI 1.75-7.97, p=0.0006), E/e ' ratio (HR 1.81, CI 1.07-3.07, p=0.026) and RVSP (HR 1.68, CI 1.04-2.70, p=0.032)] were significantly associated with Afib risk; elevated AI risk score was significant in the univariate model (HR 2.74, CI 1.15-6.53, p=0.023) but was borderline in the multivariate model (HR 2.34, CI 0.98-5.60, p=0.056) ( Table 1). Based on previous observations we evaluated the association of AI and Echo parameters with Relapse and Death after AlloHCT ( Table 1). Age (HR 1.32, CI 1.01-1.71, p=0.041) and IPSS-R (HR 1.20, CI 1.08-1.33, p=0.0009) were significantly associated with Death after AlloHCT, while HCTCI (HR 1.10, CI 1.00-1.22, p=0.052) and higher LV EF (HR 0.63, CI 0.38-1.06, p=0.084) were borderline. For Relapse, only IPSS-R (HR 1.52, CI 1.31-1.75, p=1.22E-08) was significant, while increase Echo E velocity was of borderline significance (HR 0.45, CI 0.20-1.02, p=0.057). Conclusions Afib is a common post-AlloHCT complication and is more frequent with increasing Age. Echo parameters (specifically E/A ratio) predict significantly higher Afib risk, while the baseline ECG AI algorithm was of borderline significance. The selection of patients with lower HCTCI scores, and the low background prevalence of Afib in this cohort (i.e., selection of patients with lower baseline cardiac morbidity) are possible explanations for non-significance of the AI algorithm. As anticipated Age and IPSS-R are the greatest predictors of Death after AlloHCT, although the suggestion of an association with baseline Echo parameters highlights the importance of identifying those who may benefit from preemptive Cardiology intervention.

INTRODUCTION: Whether dye spray chromoendoscopy (DCE) adds value in surveillance colonoscopy with high-definition (HD) scopes remains controversial. This updated meta-analysis compares dysplasia detection using DCE and high-definition white light endoscopy (HD-WLE) in patients with inflammatory bowel disease (IBD) undergoing surveillance colonoscopy. METHODS: A comprehensive search was performed for randomized controlled trials (RCT) comparing HD-WLE and DCE in patients with IBD. The primary outcome was to compare the proportion of patients with at least 1 dysplastic lesion detected by DCE vs HD-WLE. Odds ratios (OR) and 95% confidence intervals (CI) were pooled using the random-effects model, with I 2 > 60% indicating substantial heterogeneity. The Grading of Recommendations, Assessment, Development, and Evaluation approach was used to assess the certainty of evidence (CoE). RESULTS: Six RCT involving 978 patients were analyzed (DCE = 479 vs HD-WLE = 499 patients). DCE detected significantly more patients with dysplasia than HD-WLE (18.8% vs 9.4%), OR 1.94 (95% CI 1.21–3.11, I 2 = 28%, P = 0.006, high CoE). This remained significant after excluding 2 RCT published as abstracts. A sensitivity analysis excluding a noninferiority RCT with a single experienced operator eliminated the results' heterogeneity, OR 2.46 (95% CI 1.56–3.90, I 2 = 0%). Although high-grade dysplasia detection was numerically higher in the DCE group (2.8% vs 1.1%), the difference was statistically insignificant, OR 2.21 (95% CI 0.64–7.62, I 2 = 0%, low CoE). DISCUSSION: Our updated meta-analysis supports DCE as a superior strategy in overall dysplasia detection in IBD, even with HD scopes. When expertise is available, DCE should be considered for surveillance colonoscopy in patients with high-risk IBD, with the acknowledgment that virtual chromoendoscopy shows equivalence in recent studies. Further multicenter trials with multiple endoscopists with varying expertise levels and longer-term outcome data showing a reduction in cancer or cancer-related death are needed.

The number of kidney after liver transplants (KALT) increased after the implementation of the United Network of Organ Sharing (UNOS) safety net policy, but the effects of the policy on KALT outcomes remain unknown. Using the UNOS database, we identified KALT between 60 and 365 days from liver transplant from January 1, 2010, to December 31, 2020. The main outcome was 1- and 3-year patient, liver, and kidney graft survival. Secondary outcomes included 6-month and 1-year acute rejection (AR) of liver and kidney, and 1-year kidney allograft function. Of the 256 KALT, 90 were pre-policy and 166 post-policy. Compared to pre-policy, post-policy 1- and 3-year liver graft survival was higher (54% and 54% vs. 86% and 81%, respectively, p <0.001), while 1- and 3-year kidney graft survival (99% and 75% vs. 92% and 79%, respectively, p =0.19), and 1- and 3-year patient survival (99% and 99% vs. 95% and 89%, respectively, p =0.11) were not significantly different. Subgroup analysis revealed similar trends in patients with and without renal failure at liver transplant. Liver AR at 6 months was lower post-policy (6.3% vs. 18.3%, p =0.006) but was similar (10.5% vs. 13%, p =0.63) at 1 year. Kidney AR was unchanged post-policy at 6 months and 1 year. Creatinine at 1 year did not differ post-policy versus pre-policy (1.4 vs. 1.3 mg/dL, p =0.07) despite a higher proportion of deceased donors, higher Kidney Donor Profile Index, and longer kidney cold ischemia time post-policy ( p <0.05 for all). This 3-year follow-up after the 2017 UNOS policy revision demonstrated that the safety net implementation has resulted in improved liver outcomes for patients who underwent KALT with no increased AR of the liver or the kidney allografts.

Background Caveolin‐1 is a structural protein of caveolae which forms a signaling platform for several cell surface receptors including leptin and insulin receptor. Caveolin‐1 expression is increased with obesity which is implicated in impaired adipose tissue leptin signaling. Considering the overlap between insulin and leptin cellular signaling pathways, we investigated known insulin‐sensitizing drugs which may reduce caveolin‐1 expression in adipose tissue and consequently improve leptin signaling. Methods We used an in‐vitro approach to identify insulin‐sensitizing drugs which may reduce caveolin‐1 expression. Differentiated human white preadipocytes (dHWP) were treated with pioglitazone (5–30 μM), troglitazone (10–30 μM), metformin (1–5 mM), or glimepiride (20–100 μM) for 24 hours. Caveolin‐1 expression was determined by Western blot. We further tested the responses in human adipose tissue from obese individuals (n=12, age: 45.4 ± 9.2 years, BMI: 48.9 ± 7.3 kg/m 2 ) undergoing surgery. Tissue was incubated with drugs for 24 h and caveolin‐1 expression was determined. Furthermore, the effect of drugs on leptin‐dependent activation of ERK and STAT3 was examined by western blot. Results Among the drugs investigated, only treatment with increasing concentrations of metformin resulted in a dose‐dependent decease in caveolin‐1 protein (p=0.01) expression in dHWP. Treatment with increasing concentrations of troglitazone upregulated caveolin‐1 (p=0.01), while pioglitazone (p=0.50) and glimepiride (p=0.09) had no effect of caveolin‐1 protein expression. Given these findings, only metformin was tested in human adipose tissue. Overall, metformin did not alter caveolin‐1 expression in adipose tissue from obese individuals (n=12, control: 0.040 ± 0.056, metformin: 0.024 ± 0.030, p=0.57), although a metformin dependent decrease in caveolin‐1 was evident in adipose tissue from 7 of the 12 obese subjects (control: 0.062 ± 0.066, metformin: 0.014 ± 0.013, p=0.02). Notably, changes in caveolin‐1 expression induced by metformin treatment were positively correlated with BMI (p=0.05, r 2 =0.33, n=12). Also, leptin dependent activation of ERK (control: 0.26 ± .098, leptin: 0.28 ± .08) and STAT3 (control: 0.028 ± 0.027, leptin: 0.032 ± 0.023) was impaired in obese adipose tissue and did not change with metformin treatment even in the 7 individuals with metformin associated decreases in caveolin‐1. Conclusions Metformin reduces caveolin‐1 expression in differentiated HWP. However, metformin decreases caveolin‐1 expression in adipose tissue of some but not all obese subjects, and does not have any effects on leptin signaling. The heterogeneous effects of metformin on caveolin‐1 expression in adipose tissue from obese individuals may be related to BMI and needs further investigation. Support or Funding Information MAP and KRS were supported by the American Physiological Society Stride Summer Undergraduate Research Fellowship NHLBI 1 R25 HL115473‐01. PS was supported by AHA scientist development grant 11SDG7260046.

Objective Preeclampsia (PE) is a hypertensive pregnancy disorder that represents a sex‐specific risk factor for future cardiovascular disease in affected women. This study evaluated the associations of a history of PE, conventional cardiovascular risk factors and vascular activation (defined by activation of blood elements and blood‐borne microvesicles (MV)) with carotid intima‐media thickness (CIMT) in menopausal women. Methods Caucasian women residents of Olmsted County, MN who delivered between 1976 and 1982 were identified from review of their medical records and matched for parity and age at index birth: 40 with a history of preeclampsia (PE) and 40 with a history of normotensive pregnancy (NP). Blood clinical chemistries and 38 measures of intravascular activation including differential cell counts, platelet aggregation and secretion, cell‐cell interactions, and blood‐borne MV were measured in venous blood. CIMT was measured by B‐mode ultrasound. The study was approved by the IRB at Mayo Clinic and all women gave written informed consent. Results Women averaged 60 years of age at the time of testing. CIMT was greater in the PE [0.80 mm (0.75, 0.85); median (25th, 75th percentile)] compared to the NP [0.73 mm (0.70, 0.78)] group (P=0.004). Body mass index, waist circumference, fasting insulin, high‐sensitive C‐reactive protein and present day hypertension were greater in the PE group. After adjusting for potential confounding factors, the odds of having a higher CIMT value was more than 3‐fold higher for women with a history of PE [OR 3.46 (1.38, 8.68); P=0.008]. Principal components (PC) analysis identified 7 components that accounted for 63% of the variability in measures of intravascular activation. The global test for association of intravascular activation with CIMT (P=0.009) was only significant among women with a history of NP. PC#4, which conveyed measures of whole blood platelet aggregation and platelet interactions with granulocytes and monocytes, positively associated with CIMT in the overall group after adjustment for PE status (partial ρ=0.290; P=0.009). PC#6, consisting of measures of platelet activation with platelet count and interactions between monocytes and the vascular endothelium, also showed a significant interaction with pregnancy history (P=0.014). Conclusion A history of preeclampsia accompanied by metabolic and pro‐coagulant/‐inflammatory intravascular cellular activation contributes to progression of CIMT in menopausal women. Support or Funding Information This work was funded by grants from the NIH AG44170, AG034676, UL1 TR000135 and the Mayo Foundation.

Abstract Calorie restriction (CR) with adequate nutrient intake is a potential geroprotective intervention. To advance this concept in humans, we tested the hypothesis that moderate CR in healthy young‐to‐middle‐aged individuals would reduce circulating biomarkers of cellular senescence, a fundamental mechanism of aging and aging‐related conditions. Using plasma specimens from the Comprehensive Assessment of Long‐term Effects of Reducing Intake of Energy (CALERIE™) phase 2 study, we found that CR significantly reduced the concentrations of several senescence biomarkers at 12 and 24 months compared to an ad libitum diet. Using machine learning, changes in biomarker concentrations emerged as important predictors of the change in HOMA‐IR and insulin sensitivity index at 12 and 24 months, and the change in resting metabolic rate residual at 12 months. Finally, using adipose tissue RNA‐sequencing data from a subset of participants, we observed a significant reduction in a senescence‐focused gene set in response to CR at both 12 and 24 months compared to baseline. Our results advance the understanding of the effects of CR in humans and further support a link between cellular senescence and metabolic health.