Explore the vast range of titles available.

Low maximally attained lung function increases the risk of chronic obstructive pulmonary disease irrespective of the subsequent rate of lung function decline. We aimed to determine if there were individuals with a distinct, persistently low lung function trajectory in the CRS (Tucson Children's Respiratory Study). The CRS, an ongoing birth cohort study, enrolled 1,246 participants between 1980 and 1984. Latent class linear mixed effects modeling of the ratio of FEV1 to FVC was used to identify distinct lung function trajectories among participants with two or more spirometry measurements between ages 11 and 32 years. Among 599 participants with 2,142 observations, a model with two distinct trajectories (a low trajectory [n = 56; 9.3%] and a normal trajectory) fit the data significantly better than a model with only one trajectory (P = 0.0007). As compared with those with a normal trajectory, participants with a persistently low trajectory were more likely to have a history of maternal asthma (20.0% vs. 9.9%; P = 0.02); early life lower respiratory illness caused by respiratory syncytial virus (41.2% vs. 21.4%; P = 0.001); and physician-diagnosed active asthma at age 32 years (43.9% vs. 16.2%; P < 0.001). Individuals with a persistently low trajectory also demonstrated lower lung function as measured by average maximal expiratory flow at functional residual capacity during infancy and at age 6 years. A distinct group of individuals in a nonselected population demonstrates a persistently low lung function trajectory that may be partly established at birth and predisposes them to chronic obstructive pulmonary disease later in life.

Background The recently updated European LeukemiaNet risk stratification guidelines combine cytogenetic abnormalities and genetic mutations to provide the means to triage patients with acute myeloid leukemia for optimal therapies. Despite the identification of many prognostic factors, relatively few have made their way into clinical practice. Methods In order to assess and improve the performance of the European LeukemiaNet guidelines, we developed novel prognostic models using the biomarkers from the guidelines, age, performance status and select transcript biomarkers. The models were developed separately for mononuclear cells and viable leukemic blasts from previously untreated acute myeloid leukemia patients (discovery cohort, N  = 185) who received intensive chemotherapy. Models were validated in an independent set of similarly treated patients (validation cohort, N  = 166). Results Models using European LeukemiaNet guidelines were significantly associated with clinical outcomes and, therefore, utilized as a baseline for comparisons. Models incorporating age and expression of select transcripts with biomarkers from European LeukemiaNet guidelines demonstrated higher area under the curve and C-statistics but did not show a substantial improvement in performance in the validation cohort. Subset analyses demonstrated that models using only the European LeukemiaNet guidelines were a better fit for younger patients (age < 55) than for older patients. Models integrating age and European LeukemiaNet guidelines visually showed more separation between risk groups in older patients. Models excluding results for ASXL1 , CEBPA , RUNX1 and TP53 , demonstrated that these mutations provide a limited overall contribution to risk stratification across the entire population, given the low frequency of mutations and confounding risk factors. Conclusions While European LeukemiaNet guidelines remain a critical tool for triaging patients with acute myeloid leukemia, the findings illustrate the need for additional prognostic factors, including age, to improve risk stratification.

Background Studies have not systematically compared the ability to verify performance of prognostic transcripts in paired bulk mononuclear cells versus viable CD34-expressing leukemic blasts from patients with acute myeloid leukemia. We hypothesized that examining the homogenous leukemic blasts will yield different biological information and may improve prognostic performance of expression biomarkers. Methods To assess the impact of cellular heterogeneity on expression biomarkers in acute myeloid leukemia, we systematically examined paired mononuclear cells and viable CD34-expressing leukemic blasts from SWOG diagnostic specimens. After enrichment, patients were assigned into discovery and validation cohorts based on availability of extracted RNA. Analyses of RNA sequencing data examined how enrichment impacted differentially expressed genes associated with pre-analytic variables, patient characteristics, and clinical outcomes. Results Blast enrichment yielded significantly different expression profiles and biological pathways associated with clinical characteristics (e.g., cytogenetics). Although numerous differentially expressed genes were associated with clinical outcomes, most lost their prognostic significance in the mononuclear cells and blasts after adjusting for age and ELN risk, with only 11 genes remaining significant for overall survival in both cell populations ( CEP70 , COMMD7 , DNMT3B , ECE1 , LNX2 , NEGR1 , PIK3C2B , SEMA4D , SMAD2 , TAF8 , ZNF444 ). To examine the impact of enrichment on biomarker verification, these 11 candidate biomarkers were examined by quantitative RT/PCR in the validation cohort. After adjusting for ELN risk and age, expression of 4 genes ( CEP70 , DNMT3B , ECE1 , and PIK3CB ) remained significantly associated with overall survival in the blasts, while none met statistical significance in mononuclear cells. Conclusions This study provides insights into biological information gained/lost by examining viable CD34-expressing leukemic blasts versus mononuclear cells from the same patient and shows an improved verification rate for expression biomarkers in blasts.

Consumption of probiotics and/or yogurt could be a solution for restoring the balance of the gut microbiota. This study examined associations of regular intake of probiotic supplements or yogurt with the gut microbiota among a diverse population of older adults ( N =1,861; 60–72 years). Faecal microbial composition was obtained from 16S rRNA gene sequencing (V1–V3 region). General linear models were used to estimate the associations of probiotic supplement or yogurt intake with microbiome measures adjusting for covariates. Compared to non-yogurt consumers ( N =1,023), regular yogurt consumers (≥once/week, N =818) had greater Streptococcus (β=0.29, P =0.0003) and lower Odoribacter (β=−0.33, P <0.0001) abundance. The directions of the above associations were consistent across the five ethnic groups but stronger among Japanese Americans ( Streptococcus: β=0.56, P =0.0009; Odoribacter: β=−0.62, P =0.0005). Regular intake of probiotic supplements ( N =175) was not associated with microbial characteristics (i.e., alpha diversity and the abundance of 152 bacteria genera). Streptococcus is one of the predominant bacteria genera in yogurt products, which may explain the positive association between yogurt consumption and Streptococcus abundance. Our analyses suggest that changes in Odoribacter were independent of changes in Streptococcus abundance. Future studies may investigate whether these microbial genera and their sub-level species mediate potential pathways between yogurt consumption and health.

Summary Low bone mineral density is highly prevalent in sickle cell disease (SCD); whether bisphosphonates can safely preserve or increase bone mass in SCD adults remains unknown. In this study, lumbar spine bone density remained stable with alendronate use, and treatment-related side effects were mostly mild and self-limited. Purpose To describe the effects of alendronate in adults with sickle cell disease (SCD) and osteoporosis. Methods We reviewed retrospective clinical data from adults with SCD and osteoporosis treated with alendronate at a single center in Brazil (2009–2019). Bone mineral density (BMD) was measured by dual-energy X-ray absorptiometry (DXA) of the lumbar spine, femoral neck, and total hip. We analyzed BMD changes by alendronate treatment duration (months), stratified by sex, skeletal site, and SCD genotype. Results Sixty-four SCD adults with osteoporosis (69% females, 73% HbSS, mean age ± standard deviation 42.4 ± 10.9 years) received alendronate for a median (interquartile range) of 48 (29, 73) months. Compared with males, females had significantly lower baseline BMD (g/cm 2 ) at the femoral neck (0.72 vs 0.85, p  =  < 0.001) and total hip (0.79 vs 0.88, p  = 0.009). The between-sex differences in BMD changes were insignificant. Mean lumbar spine BMD significantly changed by 0.0357 g/cm 2 ( p  = 0.028) in those on alendronate for > 5 years. Four adults (6.3%) reported mild therapy-related side effects. An atypical femoral diaphysis fracture, attributed to alendronate, was incidentally noted in a 37-year-old man on treatment for 4 years. Conclusion In this retrospective cohort of adults with SCD and osteoporosis on alendronate for a median of 48 months, we found no significant interactions between sex and changes in lumbar spine, femoral neck, or total hip BMD with alendronate. Lumbar spine BMD was stable in those on alendronate for < 5 years. Side effects of alendronate were mild, though one patient developed an atypical femoral fracture.

As past usual diet quality may affect gut microbiome (GM) composition, we examined the association of the Healthy Eating Index (HEI)-2015 assessed 21 and 9 years before stool collection with measures of fecal microbial composition in a subset of the Multiethnic Cohort. A total of 5936 participants completed a validated quantitative FFQ (QFFQ) at cohort entry (Q1, 1993–1996), 5280 at follow-up (Q3, 2003–2008) and 1685 also at a second follow-up (Adiposity Phenotype Study (APS), 2013–2016). All participants provided a stool sample in 2013–2016. Fecal microbial composition was obtained from 16S rRNA gene sequencing (V1–V3 regions). HEI-2015 scores were computed based on each QFFQ. Using linear regression adjusted for relevant covariates, we calculated associations of HEI-2015 scores with gut microbial diversity and 152 individual genera. The mean HEI-2015 scores increased from Q1 (67 (sd 10)) to Q3 (71 (sd 11)) and APS (72 (sd 10)). Alpha diversity assessed by the Shannon Index was significantly higher with increasing tertiles of HEI-2015. Of the 152 bacterial genera tested, seven (Anaerostipes, Coprococcus_2, Eubacterium eligens, Lachnospira, Lachnospiraceae_ND3007, Ruminococcaceae_UCG-013 and Ruminococcus_1) were positively and five (Collinsella, Parabacteroides, Ruminiclostridium_5, Ruminococcus gnavus and Tyzzerella) were inversely associated with HEI-2015 assessed in Q1, Q3 and APS. The estimates of change per unit of the HEI-2015 score associated with the abundance of these twelve genera were consistent across the three questionnaires. The quality of past diet, assessed as far as ∼20 years before stool collection, is equally predictive of GM composition as concurrently assessed diet, indicative of the long-term consistency of this relation.

Background The recently updated European LeukemiaNet risk stratification guidelines combine cytogenetic abnormalities and genetic mutations to provide the means to triage patients with acute myeloid leukemia for optimal therapies. Despite the identification of many prognostic factors, relatively few have made their way into clinical practice. Methods In order to assess and improve the performance of the European LeukemiaNet guidelines, we developed novel prognostic models using the biomarkers from the guidelines, age, performance status and select transcript biomarkers. The models were developed separately for mononuclear cells and viable leukemic blasts from previously untreated acute myeloid leukemia patients (discovery cohort, N = 185) who received intensive chemotherapy. Models were validated in an independent set of similarly treated patients (validation cohort, N = 166). Results Models using European LeukemiaNet guidelines were significantly associated with clinical outcomes and, therefore, utilized as a baseline for comparisons. Models incorporating age and expression of select transcripts with biomarkers from European LeukemiaNet guidelines demonstrated higher area under the curve and C-statistics but did not show a substantial improvement in performance in the validation cohort. Subset analyses demonstrated that models using only the European LeukemiaNet guidelines were a better fit for younger patients (age < 55). Models integrating age and European LeukemiaNet guidelines visually showed more separation between risk groups in older patients. Models, which excluded results for ASXL1, CEBPA, RUNX1 and TP53, demonstrated a limited overall contribution to risk stratification across the entire population, given the low frequency of mutations and confounding risk factors. Conclusions While European LeukemiaNet guidelines remain a critical tool for triaging patients with acute myeloid leukemia, the findings illustrate the need for additional prognostic factors, including age, to improve risk stratification.

Purpose To investigate combined MRI and 18 F-FDG PET for assessing breast tumor metabolism/perfusion mismatch and predicting pathological response and recurrence-free survival (RFS) in women treated for breast cancer. Methods Patients undergoing neoadjuvant chemotherapy (NAC) for locally-advanced breast cancer were imaged at three timepoints (pre, mid, and post-NAC), prior to surgery. Imaging included diffusion-weighted and dynamic contrast-enhanced (DCE-) MRI and quantitative 18 F-FDG PET. Tumor imaging measures included apparent diffusion coefficient, peak percent enhancement (PE), peak signal enhancement ratio (SER), functional tumor volume, and washout volume on MRI and standardized uptake value (SUVmax), glucose delivery (K 1 ) and FDG metabolic rate (MRFDG) on PET, with percentage changes from baseline calculated at mid- and post-NAC. Associations of imaging measures with pathological response (residual cancer burden [RCB] 0/I vs. II/III) and RFS were evaluated. Results Thirty-five patients with stage II/III invasive breast cancer were enrolled in the prospective study (median age: 43, range: 31–66 years, RCB 0/I: N = 11/35, 31%). Baseline imaging metrics were not significantly associated with pathologic response or RFS ( p  > 0.05). Greater mid-treatment decreases in peak PE, along with greater post-treatment decreases in several DCE-MRI and 18 F-FDG PET measures were associated with RCB 0/I after NAC ( p  < 0.05). Additionally, greater mid- and post-treatment decreases in DCE-MRI (peak SER, washout volume) and 18 F-FDG PET (K 1 ) were predictive of prolonged RFS. Mid-treatment decreases in metabolism/perfusion ratios (MRFDG/peak PE, MRFDG/peak SER) were associated with improved RFS. Conclusion Mid-treatment changes in both PET and MRI measures were predictive of RCB status and RFS following NAC. Specifically, our results indicate a complementary relationship between DCE-MRI and 18 F-FDG PET metrics and potential value of metabolism/perfusion mismatch as a marker of patient outcome.

In recent years, we have witnessed astonishing advances in medicine, including treating diseases at the level of genes and cells. Acknowledgements This letter represents solely the individual and personal views of the authors and signatories, and not those of their employers, companies, universities or any other organization or agency. Competing interests John Maraganore is CEO and board member of Alnylam Pharmaceuticals, and on the board of Agios Pharmaceuticals and the Biotechnology Innovation Organization.