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1 Department of Cardiology, Medical University of Graz, Auenbruggerplatz 15, Graz 8036, Austria.
2 Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 114 Rue Edouard Vaillant, Villejuif 94805, France.
3 Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue contre le cancer, Université de Paris, Sorbonne Université, INSERM U1138, Institut Universitaire de France, 15 Rue de l'École de Médecine, Paris 75006, France.
5 Department of Internal Medicine, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal.
6 Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Cardiovascular R&D Center (UnIC@RISE), 4200-319 Porto, Portugal.
7 Institute of Physiology II, University of Münster, Münster 48149, Germany.
8 Division of Cardiology and Center for Cardiovascular Research, Washington University School of Medicine, St. Louis, MO, USA.
9 Department of Cell Biology and Molecular Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
10 Department of Biochemistry, Chungbuk National University, Cheongju, South Korea.
11 Department of Cardiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
12 Division of Cell Biology, Histology and Embryology, Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, Graz 8010, Austria.
13 Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, 8010 Graz, Austria.
14 John Cochran Veterans Affairs Medical Center, St. Louis, MO, USA.
15 Pôle de Biologie, Hôpital Européen Georges Pompidou, AP-HP, 20 Rue Leblanc, Paris 75015, France.
16 Faculty of Medicine, University of Maribor, Taborska ulica 8, Maribor 2000, Slovenia.
1 Department of Cardiology, Medical University of Graz, Auenbruggerplatz 15, Graz 8036, Austria.
2 Metabolomics and Cell Biology Platforms, Institut Gustave Roussy, 114 Rue Edouard Vaillant, Villejuif 94805, France.
3 Centre de Recherche des Cordeliers, Equipe labellisée par la Ligue contre le cancer, Université de Paris, Sorbonne Université, INSERM U1138, Institut Universitaire de France, 15 Rue de l'École de Médecine, Paris 75006, France.
5 Department of Internal Medicine, Centro Hospitalar Universitário de São João, 4200-319 Porto, Portugal.
6 Department of Surgery and Physiology, Faculty of Medicine of the University of Porto, Cardiovascular R&D Center (UnIC@RISE), 4200-319 Porto, Portugal.
7 Institute of Physiology II, University of Münster, Münster 48149, Germany.
8 Division of Cardiology and Center for Cardiovascular Research, Washington University School of Medicine, St. Louis, MO, USA.
9 Department of Cell Biology and Molecular Medicine, Rutgers New Jersey Medical School, Newark, NJ, USA.
10 Department of Biochemistry, Chungbuk National University, Cheongju, South Korea.
11 Department of Cardiology, Dongzhimen Hospital, Beijing University of Chinese Medicine, Beijing, China.
12 Division of Cell Biology, Histology and Embryology, Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, Graz 8010, Austria.
13 Division of Molecular Biology and Biochemistry, Gottfried Schatz Research Center for Cell Signaling, Metabolism and Aging, Medical University of Graz, 8010 Graz, Austria.
14 John Cochran Veterans Affairs Medical Center, St. Louis, MO, USA.
15 Pôle de Biologie, Hôpital Européen Georges Pompidou, AP-HP, 20 Rue Leblanc, Paris 75015, France.
16 Faculty of Medicine, University of Maribor, Taborska ulica 8, Maribor 2000, Slovenia.
Nicotinamide improves cardiometabolic HFpEF through autophagy activation. ( A ) Representative echocardiography tracings:…
Figure 1
Nicotinamide improves cardiometabolic HFpEF through autophagy activation. (A) Representative echocardiography tracings: M-mode (top), pulsed-wave Doppler (middle), and tissue Doppler (bottom) from 20-week-old ZSF1 lean and obese rats, treated or not with 0.3% v/w nicotinamide (NAM) in the drinking water for 12 weeks (Ob + NAM vs. Obese, respectively). EF, ejection fraction. Left ventricular mass (LVmass) normalized to tibia length (TL). Ratio of peak early Doppler transmitral flow velocity (E) to myocardial tissue Doppler velocity (e′). Lung weight normalized to tibia length (LW/TL) (n = 8–9 rats/group). (B) Heatmap of cardiac expression levels (red = high, blue = low) of differentially regulated genes involved in the autolysosome-lysosome KEGG pathway (left), (n = 4 rats/group). Representative Western blots and quantification (middle) of autophagy markers, including LC3B-II expression, LC3B-II-to-LC3B-I ratio, and the autophagy substrate p62 (normalized to GAPDH) in the hearts of ZSF1 lean, obese, and NAM-treated obese rats (n = 8/9/9 rats, respectively). Representative confocal images of myocardial sections from adult Mito-Keima reporter mice (3-month-old) treated with the mouse equivalent dose of NAM (0.5% v/w in the drinking water for two weeks), with quantitative assessment of the positive ratiometric area of Mito-Keima fluorescence (561 nm/467 nm excitation), indicating mitophagy (right). Values were obtained from 30 different pictures per sample (n = 3–4 mice/group). (C) Immunoblot-based quantification of autophagy proteins acetylation (normalized to GAPDH) in the hearts of ZSF1 lean, obese, and NAM-treated obese rats (n = 6 rats/group), along with a Volcano plot depiction of the relative difference in detectable autophagy-related protein acetylation in NAM-treated vs. control obese ZSF1 rats (top), (n = 4/3 rats, respectively). Representative Western blots and quantification of insulin-like growth factor-1 receptor (IGF-1R) expression (normalized to total protein content detected by Ponceau S staining), and Akt phosphorylation normalized to total Akt expression in the hearts of ZSF1 lean, obese, and NAM-treated obese rats (bottom), (n = 4/6/4 rats, respectively). (D) Representative confocal images of myocardial sections from adult CAG-RFP-GFP-LC3 transgenic mice (3-month-old) treated with NAM (0.5% v/w in the drinking water for two weeks) and IGF-1 (200 µg/kg i.p., 30 min before sacrifice) or vehicle, with quantitative assessment of the ratio of autolysosomes (punctate RFP signal) to autophagosomes (punctate RFP-GFP signal (n = 4–5 mice/group). (E) Schematic representation of NAM feeding protocol to 5-week-old cardiomyocyte-specific Atg5-deficient mice (Atg5−/−), generated by crossing Atg5flox/flox mice with knock-in mice expressing Cre+ recombinase driven by the cardiomyocyte-specific MLC2a gene encoding α-myosin light chain promoter (MLC2a-Cre+). Atg5−/− mice and their control littermates (Atg5+/+) were fed a standard diet (SD; Sniff, #V1534) or a combination of high-fat diet (HFD; 45% kcal from fat, lard; Sniff, cat. EF R/M #D12451 modified) and the nitric oxide synthase inhibitor L-NAME (0.5 g/L in the drinking water) in the presence or absence of NAM (0.5% v/w in the drinking water for 6 weeks). EF, E/e′ ratio, LVRI, LVmass/TL. (n = 5–9 mice/group) (F) NAM and methyl-NAM levels were measured in participants of the NETDiamond prospective HFpEF cohort (N = 88). Participants were stratified by the median of methyl-NAM/NAM ratio, a proxy of NAM depletion, and compared across demographic, analytical, and echocardiographic parameters; only statistically significant differences [sex and B-type natriuretic peptides (BNP)] are reported. Time-to-first-event analysis for the composite endpoint of cardiovascular death or HF progression (i.e. HF hospitalization, acute HF episodes, or diuretic intensification) was conducted using Kaplan–Meier curves and Cox proportional-hazards models. The analysis was stratified with split time at 1 year of follow-up due to a significant time-dependent interaction, indicating a violation of the proportional hazards assumption (P = 0.036). Hazard ratios (HR) with 95% confidence intervals (CI) for follow-up ≥1 year are presented for unadjusted and adjusted models, with covariates including age, sex, creatinine, and BNP levels. Data are presented as means ± SD with subject-level data superimposed as individual points. P values were calculated by ANOVA with Dunnett’s post hoc test (A–D), Student’s t-test (B, right), or two-way ANOVA with Dunnett’s post hoc test (E). In (F), P values were calculated by Mann–Whitney test, χ2 test, Log-Rank test, or Cox proportional-hazards model, respectively. Akt, Akt serine/threonine kinase 1; Hsp90, heat shock protein 90; Hspa8, heat shock cognate 71 kDa protein; LC3, microtubule-associated protein 1A/1B-light chain 3; p62, ubiquitin-binding protein p62; ns, non-significant; Vdac1, voltage-dependent anion-selective channel protein 1.
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