Faculty Bibliography

IMPORTANCE/UNASSIGNED:Randomized clinical trials have shown that sacubitril-valsartan reduces the risks of mortality and hospitalization in patients with heart failure with reduced ejection fraction (HFrEF), but patients with kidney failure requiring dialysis were excluded. OBJECTIVE/UNASSIGNED:To investigate the comparative effectiveness of sacubitril-valsartan vs angiotensin-converting enzyme inhibitors or angiotensin receptor blockers (ACEIs or ARBs) in patients with HFrEF requiring hemodialysis. DESIGN, SETTING, AND PARTICIPANTS/UNASSIGNED:This retrospective, 1:1 propensity score-matched comparative effectiveness study included patients who were 18 years or older with HFrEF, enrolled in Medicare Parts A, B, and D, and survived at least 90 days receiving in-center hemodialysis from July 8, 2015, to December 31, 2020. Patients were excluded for less than 180 days of continuous Medicare Parts A, B, and D primary payer coverage or prior dispensing of sacubitril-valsartan. Data analysis was conducted from September 23, 2023, to June 25, 2024. EXPOSURES/UNASSIGNED:New use of sacubitril-valsartan vs new or continued use of ACEIs or ARBs. MAIN OUTCOMES AND MEASURES/UNASSIGNED:The associations between initiation of sacubitril-valsartan therapy and all-cause mortality, cardiovascular mortality, all-cause hospitalization, and HF hospitalization were assessed using Cox proportional hazards regression models in a propensity score-matched sample. RESULTS/UNASSIGNED:Participants included 1:1 matched pairs of 1434 sacubitril-valsartan users and 1434 ACEI or ARB users (mean [SD] age, 64 [13] years). Of the 2868 matched participants, 996 (65%) were male; 987 (34%) were Black or African American and 1677 (58%) were White; and median dialysis vintage was 3.8 (IQR, 1.8-6.3) years. The median follow-up was 0.9 (IQR, 0.4-1.7) years. Sacubitril-valsartan (vs ACEI or ARB) therapy was associated with a reduction in all-cause mortality (hazard ratio [HR], 0.82 [95% CI, 0.73-0.92]) and all-cause hospitalization (HR, 0.86 [95% CI, 0.79-0.93]) but not cardiovascular mortality (HR, 1.01 [95% CI, 0.86-1.19]) or HF hospitalization (HR, 0.91 [95% CI, 0.82-1.02]). There was a decrease in hyperkalemia (HR, 0.71 [95% CI, 0.62-0.81]) and no difference in hypotension (HR, 0.99 [95% CI, 0.83-1.19]). Only 195 participants (14%) ever received the maximum combination dose of sacubitril (97 mg twice daily) and valsartan (103 mg twice daily). CONCLUSIONS AND RELEVANCE/UNASSIGNED:In this comparative effectiveness study of patients with HFrEF requiring hemodialysis, sacubitril-valsartan therapy was associated with beneficial effects in all-cause mortality and all-cause hospitalization.

BACKGROUND:Early trials of dihydropyridine calcium channel blockers (DCCBs) suggest a detrimental effect on intraglomerular pressure and an association with albuminuria. OBJECTIVE:We sought to evaluate the associations of DCCB initiation with albuminuria and kidney failure with replacement therapy (KFRT) and to determine whether renin-angiotensin system (RAS) blockade modified these associations. DESIGN/METHODS:We conducted a target trial emulation study using a new user, active comparator design and electronic health record data from Geisinger Health. PARTICIPANTS/METHODS:We included patients without severe albuminuria or KFRT who were initiated on a DCCB or thiazide (active comparator) between January 1, 2004, and December 31, 2019. MAIN MEASURES/METHODS:Using inverse probability of treatment weighting, we performed doubly robust Cox proportional hazards regression to estimate the association of DCCB initiation with incident severe albuminuria (urine albumin to creatinine ratio > 300 mg/g) and KFRT, overall and stratified by RAS blocker use. KEY RESULTS/RESULTS:, and with a mean follow-up of 8 years. Compared with thiazides, DCCBs were significantly associated with the development of severe albuminuria (hazard ratio [HR], 1.29; 95% confidence interval [CI], 1.16-1.43), with attenuation of risk in the presence of RAS blockade (P for interaction < 0.001). The risk of KFRT was increased among patients without RAS blockade (HR, 1.66; 95% CI, 1.19-2.31), but not with RAS blockade (P for interaction = 0.005). CONCLUSIONS:DCCBs were associated with increased risk of albuminuria and, in the absence of RAS blockade, KFRT. These findings suggest coupling DCCB therapy with RAS blockade may mitigate adverse kidney outcomes.

BACKGROUND & AIMS/OBJECTIVE:Plant-based diets are associated with a lower risk of chronic diseases. Large-scale proteomics can identify objective biomarkers of plant-based diets, and improve our understanding of the pathways that link plant-based diets to health outcomes. This study investigated the plasma proteome of four different plant-based diets [overall plant-based diet (PDI), provegetarian diet, healthful plant-based diet (hPDI), and unhealthful plant-based diet (uPDI)] in the Atherosclerosis Risk in Communities (ARIC) Study and replicated the findings in the Framingham Heart Study (FHS) Offspring cohort. METHODS:ARIC Study participants at visit 3 (1993-1995) with completed food frequency questionnaire (FFQ) data and proteomics data were divided into internal discovery (n = 7690) and replication (n = 2543) data sets. Multivariable linear regression was used to examine associations between plant-based diet indices (PDIs) and 4955 individual proteins in the discovery sample. Then, proteins that were internally replicated in the ARIC Study were tested for external replication in FHS (n = 1358). Pathway overrepresentation analysis was conducted for diet-related proteins. C-statistics were used to predict if the proteins improved prediction of plant-based diet indices beyond participant characteristics. RESULTS:In ARIC discovery, a total of 837 diet-protein associations (PDI = 233; provegetarian = 182; hPDI = 406; uPDI = 16) were observed at false discovery rate (FDR) < 0.05. Of these, 453 diet-protein associations (PDI = 132; provegetarian = 104; hPDI = 208; uPDI = 9) were internally replicated. In FHS, 167/453 diet-protein associations were available for external replication, of which 8 proteins (PDI = 1; provegetarian = 0; hPDI = 8; uPDI = 0) replicated. Complement and coagulation cascades, cell adhesion molecules, and retinol metabolism were over-represented. C-C motif chemokine 25 for PDI and 8 proteins for hPDI modestly but significantly improved the prediction of these indices individually and collectively (P value for difference in C-statistics<0.05 for all tests). CONCLUSIONS:Using large-scale proteomics, we identified potential candidate biomarkers of plant-based diets, and pathways that may partially explain the associations between plant-based diets and chronic conditions.

The number of assays on highly-multiplexed proteomic platforms has grown tenfold over the past 15 years from less than 1,000 to >11,000. The leading aptamer-based and antibody-based platforms have different strengths. For example, Eldjarn et al¹ demonstrated that the aptamer-based SomaScan 5k (4,907 assays, assessed in the Icelandic 36K) and the antibody-based Olink Explore 3072 (2,931 assays, assessed in the UK BioBank) had a similar number of cis-pQTLs among all targets (2,120 vs. 2,101) but Olink had a greater number of cis-pQTLs among the overlapping targets (1,164 vs. 1,467). Analysis of split plasma measures showed the SomaScan assays to be more precise: median coefficient of variation (CV) of 9.9% vs. 16.5% for Olink.¹ Precision of the newest versions of the platforms-SomaScan 11k (>11,000 assays, released in December 2023) and Olink Explore HT (>5,400 assays, released in July 2023)-has not yet been established. We assessed the reproducibility of the SomaScan 11k and Olink Explore HT using split plasma samples from 102 Atherosclerosis Risk in Communities (ARIC) Study participants. We found that the SomaScan 11k assays had a median CV of 6.8% (vs 6.6% for the subset of assays available on the SomaScan 5k) and the Olink Explore HT assays had a median CV of 35.7% (vs 19.8% for the subset of assays available on the Olink Explore 3072). Across Olink assays, the CVs were strongly negatively correlated with protein detectability, i.e., percent of samples above the limit of detection (LOD). For the 4,443 overlapping assays, the distribution of between-platform correlations was bimodal with a peak at r~0 and with another smaller peak at r~0.8. These findings on precision are consistent with the updated results by Eldjarn et al¹ but indicate that precision of these two leading platforms in human plasma has diverged as the number of included proteins has increased.

KEY POINTS:Integrated analysis of proteome and metabolome identifies modules associated with CKD progression and kidney failure. Ephrin transmembrane proteins and podocyte-expressed CRIM1 and NPNT emerged as central components and warrant experimental and clinical investigation. BACKGROUND:Proteins and metabolites play crucial roles in various biological functions and are frequently interconnected through enzymatic or transport processes. METHODS:=569). RESULTS:). CONCLUSIONS:This study demonstrates that integration of the proteome and metabolome can identify functions of pathophysiologic importance in kidney disease.

KEY POINTS:Proteomic profiling identified 35 blood proteins associated with chronic histopathologic lesions in the kidney. Testican-2 was expressed in the glomerulus, released by the kidney into circulation, and inversely associated with glomerulosclerosis severity. NELL1 was expressed in tubular epithelial cells, released by the kidney into circulation, and inversely associated with interstitial fibrosis and tubular atrophy severity. BACKGROUND:The severity of chronic histopathologic lesions on kidney biopsy is independently associated with higher risk of progressive CKD. Because kidney biopsies are invasive, identification of blood markers that report on underlying kidney histopathology has the potential to enhance CKD care. METHODS:We examined the association between 6592 plasma protein levels measured by aptamers and the severity of interstitial fibrosis and tubular atrophy (IFTA), glomerulosclerosis, arteriolar sclerosis, and arterial sclerosis among 434 participants of the Boston Kidney Biopsy Cohort. For proteins significantly associated with at least one histologic lesion, we assessed renal arteriovenous protein gradients among 21 individuals who had undergone invasive catheterization and assessed the expression of the cognate gene among 47 individuals with single-cell RNA sequencing data in the Kidney Precision Medicine Project. RESULTS:In models adjusted for eGFR, proteinuria, and demographic factors, we identified 35 proteins associated with one or more chronic histologic lesions, including 20 specific for IFTA, eight specific for glomerulosclerosis, and one specific for arteriolar sclerosis. In general, higher levels of these proteins were associated with more severe histologic score and lower eGFR. Exceptions included testican-2 and NELL1, which were associated with less glomerulosclerosis and IFTA, respectively, and higher eGFR; notably, both of these proteins demonstrated significantly higher levels from artery to renal vein, demonstrating net kidney release. In the Kidney Precision Medicine Project, 13 of the 35 protein hits had cognate gene expression enriched in one or more cell types in the kidney, including podocyte expression of select glomerulosclerosis markers (including testican-2) and tubular expression of several IFTA markers (including NELL1). CONCLUSIONS:Proteomic analysis identified circulating proteins associated with chronic histopathologic lesions, some of which had concordant site-specific expression within the kidney.

BACKGROUND:Metabolites represent a read-out of cellular processes underlying states of health and disease. METHODS:We evaluated cross-sectional and longitudinal associations between 1255 serum and 1398 urine known and unknown (denoted with "X" in name) metabolites (Metabolon HD4, 721 detected in both biofluids) and kidney function in 1612 participants of the Atherosclerosis Risk in Communities (ARIC) Study. All analyses were adjusted for clinical and demographic covariates, including for baseline eGFR and UACR in longitudinal analyses. RESULTS:At visit 5 of the ARIC study, the mean age of participants was 76 years (SD 6), 56% were women, mean eGFR was 62 ml/min/1.73m2 (SD 20), and median urine albumin-to-creatinine level (UACR) was 13 mg/g (IQR 25). In cross-sectional analysis, 675 serum and 542 urine metabolites were associated with eGFR (Bonferroni-corrected p < 4.0E-5 for serum analyses and p < 3.6E-5 for urine analyses), including 248 metabolites shared across biofluids. Fewer metabolites (75 serum and 91 urine metabolites, including 7 shared across biofluids) were cross-sectionally associated with albuminuria. Guanidinosuccinate, N2,N2-dimethylguanosine, hydroxy-N6,N6,N6-trimethyllysine, X-13844, and X-25422 were significantly associated with both eGFR and albuminuria. Over a mean follow-up of 6.6 years, serum mannose (HR 2.3 [1.6,3.2], p = 2.7E-5) and urine X-12117 (HR 1.7 [1.3,2.2], p = 1.9E-5) were risk factors for UACR doubling, whereas urine sebacate (HR 0.86 [0.80,0.92], p = 1.9E-5) was inversely associated. Compared to clinical characteristics alone, including the top 5 endogenous metabolites in serum and urine associated with longitudinal outcomes improved the outcome prediction (AUCs for eGFR decline: clinical model = 0.79, clinical + metabolites model = 0.87, p = 8.1E-6; for UACR doubling: clinical model = 0.66, clinical + metabolites model = 0.73, p = 2.9E-5). CONCLUSIONS:Metabolomic profiling in different biofluids provided distinct and potentially complementary insights into the biology and prognosis of kidney diseases.

RATIONALE & OBJECTIVE/OBJECTIVE:Smoking is a modifiable risk factor for various adverse events. However, little is known about the association of smoking with the incidence of acute kidney injury (AKI) in the general population. The objective of this study is to investigate the association of cigarette smoking with the risk of AKI. STUDY DESIGN/METHODS:Prospective observational study. SETTING & PARTICIPANTS/METHODS:14,571 participants (mean age 55 [6] years, 55% women and 25% Black participants) from the ARIC study visit 1 (1987-1989) were followed through December 31, 2019. EXPOSURES/METHODS:Smoking parameters (status, duration, pack-years, intensity, and years since cessation). OUTCOMES/RESULTS:Incident hospitalization with AKI, defined by a hospital discharge with a diagnostic code relevant to AKI. ANALYTICAL APPROACH/METHODS:Multivariable Cox regression models. RESULTS:Over a median follow-up of 26.3 years, 2,984 participants had an incident hospitalization with AKI. Current and former smokers had a significantly higher risk of AKI compared to never smokers after adjusting for potential confounders (Hazard ratio [HR], 2.22 [95% CI: 2.02-2.45] and 1.12 [1.02-1.23], respectively). A dose-response association was consistently seen for each of smoking duration, pack-years, and intensity with AKI (e.g., 1.19 [1.16-1.22] per 10 years of smoking). When years since cessation were considered as a time-varying exposure, the risk of AKI associated with smoking, compared to current smokers, began to decrease after 10 years, and became similar to never smokers at 30 years (HR for ≥30 years, 1.07 [0.97-1.20] vs. never smokers). LIMITATIONS/CONCLUSIONS:Self-reported smoking measurements and missing outpatient AKI cases. CONCLUSIONS:In a community-based cohort, all smoking parameters were robustly associated with the risk of AKI. Smoking cessation was associated with decreased risk of AKI, although the excess risk lasted up to 30 years. Our study supports the importance of preventing smoking initiation and promoting smoking cessation for the risk of AKI.

BACKGROUND/UNASSIGNED:There is interest in identifying novel filtration markers that lead to more accurate GFR estimates than current markers (creatinine and cystatin C) and are more consistent across demographic groups. We hypothesize that large-scale metabolomics can identify serum metabolites that are strongly influenced by glomerular filtration rate (GFR) and are more consistent across demographic variables than creatinine, which would be promising filtration markers for future investigation. METHODS/UNASSIGNED:< -0.5), we assessed additional variation by age (height in children), sex, race and body mass index (BMI). RESULTS/UNASSIGNED:< -0.5), 27 were consistently not associated with age (height in children), sex or race. CONCLUSIONS/UNASSIGNED:The majority of metabolite-mGFR correlations were negative and consistent across sex, race, BMI and study. Metabolites with consistent strong negative correlations with mGFR and non-association with demographic variables may represent candidate markers to improve estimation of GFR.