| Literature DB >> 36172184 |
Xiaoxue Li1, Wenxin Li1, Zhengzhipeng Zhang1, Weidong Wang2, Hui Huang1.
Abstract
Introduction: Renal interstitial fibrosis is a common pathophysiological change in the chronic kidney disease (CKD). Nicotinamide adenine dinucleotide (NAD)-dependent deacetylase sirtuin 6 (SIRT6) is demonstrated to protect against kidney injury. Vitamin B3 is the mostly used form of NAD precursors. However, the role of SIRT6 overexpression in renal interstitial fibrosis of CKD and the association between dietary vitamin B3 intake and renal function remain to be elucidated.Entities:
Keywords: HIPK2; SIRT6; chronic kidney disease; renal function; renal interstitial fibrosis; vitamin B3
Year: 2022 PMID: 36172184 PMCID: PMC9510922 DOI: 10.3389/fphar.2022.1007168
Source DB: PubMed Journal: Front Pharmacol ISSN: 1663-9812 Impact factor: 5.988
FIGURE 1SIRT6 overexpression protected against renal interstitial fibrosis. (A) Western blot analysis of SIRT6 and αSMA expression in fibrotic kidneys of CKD mice. n = 6. (B) Representative hematoxylin and eosin staining, Masson trichrome staining and immunohistochemical images of collagen I and αSMA expression in kidneys. Scale bar, 100 μm. (C–E) Sera from WT and SIRT6-Tg of CKD mice were tested for serum creatinine, BUN and proteinuria for 24 h n = 6. All values are presented as mean ± SEM. *p < 0.05.
FIGURE 2HIPK2 was downregulated in the kidneys of SIRT6-Tg mice. (A) Western blot analysis of HIPK2 expression in fibrotic kidneys of CKD mice. n = 6. (B) Representative immunohistochemical images of HIPK2 in kidneys of SIRT6-Tg mice. Scale bar, 100 μm. (C) Western blot analysis of HIPK2 and αSMA expression in fibrotic kidneys of WT and SIRT6-Tg mice. n = 6. All values are presented as mean ± SEM. *p < 0.05.
FIGURE 3SIRT6 and HIPK2 are induced by TGF-β1 in HK2 cells. (A) Western blot analysis of SIRT6 and collagen I expression in HK2 cells exposed to TGF-β1 for 48 h with indicated dose. n = 3. (B) Western blot analysis of HIPK2 expression in HK2 cells exposed to 2.5 ng/ml TGF-β1 for 48 h n = 3. (C) Quantitative real-time PCR analysis of genes expression in HK2 cells treated with TGF-β1. n = 3. All values are presented as mean ± SEM. *p < 0.05.
FIGURE 4HIPK2 was downregulated by SIRT6 in the post-transcriptional level. (A) Western blot analysis of SIRT6 and HIPK2 expression after indicated transfection. n = 3. (B) Quantitative real-time PCR analysis of HIPK2 expression after SIRT6 depletion. n = 3. (C) Representative immunofluorescence images of HIPK2 in TGF-β1-induced HK2 cells after SIRT6 depletion. Scale bar, 200 μm. (D) Western blot analysis of SIRT6 and HIPK2 expression in TGF-β1-induced HK2 cells after SIRT6 depletion. n = 3. All values are presented as mean ± SEM. *p < 0.05.
Baseline characteristics by the quartiles of energy-adjusted dietary vitamin B3 intake.
| Characteristics | Total ( | Quartile 1 ( | Quartile 2 ( | Quartile 3 ( | Quartile 4 ( |
|
|---|---|---|---|---|---|---|
| Adjusted dietary vitamin B3 intake (mg/day) | 11.0 ± 2.8 | 7.9 ± 1.0 | 10.0 ± 0.4 | 11.5 ± 0.5 | 14.7 ± 2.6 | <0.001 |
| Baseline eGFR (mL/min/1.73m2) | 78.1 ± 15.8 | 77.7 ± 16.0 | 77.9 ± 15.6 | 78.5 ± 15.4 | 78.3 ± 16.1 | 0.540 |
| Serum creatinine (mg/dl) | 0.9 ± 0.2 | 1.0 ± 0.2 | 1.0 ± 0.2 | 0.9 ± 0.2 | 0.9 ± 0.2 | 0.322 |
| Age | 61.8 ± 9.8 | 62.1 ± 10.4 | 61.7 ± 10.2 | 61.6 ± 10.0 | 61.8 ± 9.8 | 0.572 |
| Male [n (%)] | 2,488 (47.3%) | 614 (46.7%) | 644 (49.4%) | 649 (49.4%) | 581 (44.2%) | 0.031 |
| Race [n (%)] | <0.001 | |||||
| White | 2,168 (41.2%) | 545 (41.4%) | 573 (43.6%) | 499 (37.9%) | 551 (41.9%) | |
| Black | 1,324 (25.2%) | 336 (25.6%) | 332 (25.2%) | 326 (24.8%) | 330 (25.1%) | |
| Hispanic | 1,105 (21.0%) | 370 (28.1%) | 319 (24.3%) | 253 (19.2%) | 163 (12.4%) | |
| Chinese American | 662 (12.6%) | 64 (4.9%) | 91 (6.9%) | 237 (18.0%) | 270 (20.5%) | |
| Hypertension [n (%)] | 2,268 (43.1%) | 575 (43.7%) | 553 (42.1%) | 571 (43.4%) | 569 (43.3%) | 0.832 |
| Diabetes [n (%)] | 588 (11.2%) | 117 (8.9%) | 129 (9.8%) | 162 (12.3%) | 180 (13.7%) | <0.001 |
| Smoking status [n (%)] | <0.001 | |||||
| Never | 2,697 (51.3%) | 635 (48.3%) | 654 (49.7%0 | 704 (53.5%) | 704 (53.6%0 | |
| Former | 1951 (37.1%) | 484 (36.8%) | 506 (38.5%) | 473 (36.0%) | 488 (37.1%) | |
| Current | 611 (11.6%) | 196 (14.9%) | 155 (11.8%) | 138 (10.5%) | 122 (9.3%) | |
| Drinking status [n (%)] | <0.001 | |||||
| Never | 1,064 (20.2%) | 250 (19.0%) | 234 (17.8%) | 261 (19.8%) | 319 (24.3%) | |
| Former | 1,177 (22.4%) | 335 (25.5%) | 272 (20.7%) | 293 (22.3%) | 277 (21.1%) | |
| Current | 3,018 (57.4%) | 730 (55.5%) | 809 (61.5%) | 761 (57.9%) | 718 (54.6%) | |
| BMI (kg/m2) | 28.1 ± 5.3 | 28.6 ± 5.4 | 28.5 ± 5.4 | 27.8 ± 5.0 | 27.7 ± 5.2 | <0.001 |
| SBP (mmHg) | 125.6 ± 20.9 | 125.8 ± 21.2 | 124.9 ± 20.2 | 126.1 ± 20.5 | 125.5 ± 21.8 | 0.497 |
| DBP (mmHg) | 71.7 ± 10.2 | 71.8 ± 10.4 | 71.7 ± 10.0 | 72.0 ± 9.7 | 71.1 ± 10.5 | 0.135 |
| FPG (mg/dl) | 95.8 ± 27.4 | 93.8 ± 24.7 | 95.5 ± 27.9 | 97.0 ± 28.1 | 97.0 ± 28.6 | 0.009 |
| TG (mg/dl) | 110 (77–158) | 113 (79–162) | 112 (78–158) | 107 (77–158) | 107 (75–156) | 0.183 |
| TC (mg/dl) | 193.5 ± 34.1 | 195.2 ± 34.4 | 194.2 ± 36.5 | 193.7 ± 33.1 | 191.0 ± 32.1 | 0.013 |
| LDL-C (mg/dl) | 117.1 ± 30.9 | 118.4 ± 31.2 | 118.2 ± 31.6 | 117.1 ± 30.7 | 114.7 ± 29.9 | 0.007 |
| HDL-C (mg/dl) | 51.3 ± 14.9 | 51.3 ± 15.2 | 50.8 ± 14.6 | 51.4 ± 14.8 | 51.8 ± 14.9 | 0.280 |
| Homocysteine (μmol/L) | 9.2 ± 3.7 | 9.5 ± 3.4 | 9.3 ± 4.3 | 9.1 ± 3.9 | 8.9 ± 2.9 | <0.001 |
| ARBs [n (%)] | 278 (5.3%) | 70 (5.3%) | 62 (4.7%) | 64 (4.9%) | 82 (6.2%) | 0.294 |
| ACEIs [n (%)] | 620 (11.8%) | 157 (11.9%) | 154 (11.7%) | 160 (12.2%) | 149 (11.3%) | 0.925 |
| Statins [n (%)] | 778 (14.8%) | 161 (12.2%) | 186 (14.1%) | 204 (15.5%) | 227 (17.3%) | 0.003 |
| Unadjusted dietary vitamin B3 intake (mg/day) | 16.2 ± 8.0 | 14.4 ± 7.1 | 16.0 ± 7.4 | 16.7 ± 8.3 | 17.7 ± 8.8 | <0.001 |
| Total energy intake (kcal/day) | 1,527 ± 783.0 | 1823 ± 891.4 | 1,606 ± 752.7 | 1,450.5 ± 727.5 | 1,228.1 ± 611.7 | <0.001 |
Values are presented as mean ± standard deviation or median (25th–75th quartiles) for continuous variables and n (%) for categorical variables. eGFR, estimate glomerular filtration rate; BMI, body mass index; SBP, systolic blood pressure; DBP, diastolic blood pressure; FPG, fasting plasma glucose; TG, triglycerides; TC, total cholesterol; LDL-C, low-density lipoprotein cholesterol; HDL-C, high-density lipoprotein cholesterol; ARBs, angiotensin receptor blockers; ACEIs, angiotensin-converting enzyme inhibitors.
Risk of renal function decline for adjusted dietary vitamin B3 intake quartile groups.
| Decline/Total | Model 1, RR (95%CI) |
| Model 2, RR (95%CI) |
| Model 3, RR (95%CI) |
| |
|---|---|---|---|---|---|---|---|
| Age<65 group | |||||||
| 1 | 147/752 | References | 1.0 | References | 1.0 | References | 1.0 |
| 2 | 163/769 | 1.107 (0.862–1.421) | 0.425 | 1.156 (0.896–1.493) | 0.265 | 1.105 (0.851–1.436) | 0.452 |
| 3 | 149/751 | 1.019 (0.790–1.314) | 0.887 | 1.033 (0.794–1.344) | 0.812 | 0.988 (0.752–1.298) | 0.931 |
| 4 | 175/758 | 1.235 (0.965–1.582) | 0.093 | 1.183 (0.911–1.536) | 0.207 | 1.082 (0.822–1.424) | 0.574 |
| Age≥65 group | |||||||
| 1 | 180/563 | References | 1.0 | References | 1.0 | References | 1.0 |
| 2 | 146/546 | 0.777 (0.599–1.007) | 0.056 | 0.783 (0.601–1.021) | 0.071 | 0.771 (0.589–1.010) | 0.059 |
| 3 | 157/564 | 0.821 (0.636–1.060) | 0.130 | 0.800 (0.613–1.043) | 0.099 | 0.783 (0.597–1.028) | 0.078 |
| 4 | 144/556 | 0.744 (0.574–0.964) | 0.025 | 0.744 (0.567–0.975) | 0.032 | 0.728 (0.548–0.966) | 0.028 |