| Literature DB >> 27574962 |
Vladimir N Anisimov1, Irina G Popovich1, Mark A Zabezhinski1, Maria N Yurova1, Margarita L Tyndyk1, Ivan V Anikin1, Peter A Egormin1, Irina A Baldueva1, Elena I Fedoros1,2, Sergey E Pigarev1,2, Andrey V Panchenko1.
Abstract
Effects of long-term application of novel polyphenolic composition BP-C3, containing polyphenolic benzenepolycarboxylic acids, vitamins and minerals on some biomarkers of aging, life span and spontaneous tumorigenesis has been studied in female SHR mice. Administration of BP-C3 with drinking water (0.005%) did not exert any toxic effect (did not have effect on general condition of animals, weight dynamics and consumption of food), postponed age-related switch-off of estrous function, caused slight reduction of body temperature. An increased survival was observed in mice treated with BP-C3 (p=0.00164, log rank test). BP-C3 increased mean lifespan - by 8.4%, lifespan of the last 10% of animals - by 12.4%, and life span of tumor-free mice - by 11.6%. A tendency in ability of BP-C3 to inhibit development of spontaneous tumors in mice was detected, though it did not reach the level of statistical significance (p=0.166, log rank test). The number of malignant mammary tumors was 1.5 times less and total number of tumors of various localizations was 1.6 times less in BP-C3 treated animals. Multiple tumors were registered in 8% of mice in the сontrol group and no cases - in BP-C3 treated group. Thus, BP-C3 demonstrated some anti-carcinogenic and a pronounced geroprotective activity.Entities:
Keywords: biomarkers of aging; mice; polyphenolic compound BP-C3; spontaneous tumorigenesis
Mesh:
Substances:
Year: 2016 PMID: 27574962 PMCID: PMC5076442 DOI: 10.18632/aging.101024
Source DB: PubMed Journal: Aging (Albany NY) ISSN: 1945-4589 Impact factor: 5.682
Figure 1Age-related dynamics of body weight (A), food consumption (B), water consumption (C) and body temperature (D) in SHR mice non-treated and treated with BP-C3. * - The difference with control at the same age is significant, p<0.05.
Figure 2Age-related dynamics of the length of estrous cycles (A), fraction of mice with regular estrous cycles (B), survival (C) and tumor yield (D) in SHR mice non-treated and treated with BP-C3. * - The difference with control at the same age is significant, p<0.05.
Effect of treatment with BP-C3 on survival of female SHR mice
| Group | Number of survivors at the age of: (days) | ||||||||
|---|---|---|---|---|---|---|---|---|---|
| 100 | 200 | 300 | 400 | 500 | 600 | 700 | 800 | 900 | |
| Control | 60 | 60 | 60 | 56 | 45 | 32 | 14 | 1 | 0 |
| BP-C3 | 60 | 60 | 60 | 58 | 49 | 35 | 25 | 10 | 0 |
p<0,05
Effect of treatment with BP-C3 on survival of female SHR mice
| Parameters | Control | BP-C3 | Δ,%; p |
|---|---|---|---|
| Number of mice | 60 | 60 | |
| Mean life span, days (M±m) | 596 ± 15,5 | 646 ± 18,7 | +8.4%; p<0.01 |
| Maximum life span, days | 800 | 873 | +9.1% |
| Mean life span of 10% last survivors, days | 768 ± 8,5 | 863 ± 3,7 | +12.4%; p<0.01 |
| Number of tumour-free mice | 31 (52%) | 39 (65%) | +13%; p=0.19 |
| Mean life span of tumour-free mice, days | 606 ± 21,7 | 676 ± 24,3 | +11.6%; p<0.05 |
Effect of treatment with BP-C3 on incidence of spontaneous tumors and non-tumor pathology in female SHR mice
| Parameters | Control | BP-C3 |
|---|---|---|
| Number of mice | 60 | 60 |
| Total number of tumor-bearing mice2 | 29 (48%) | 21 (36%) |
| Number of malignant tumor-bearing mice2 | 27 (45%) | 20 (34%) |
| Number of tumors | 34 | 21 |
| Number of malignant tumors | 32 | 20 |
| Number of tumors per tumor-bearing mice | 1,17 ± 0,05 | 1,00 ± 0,00 |
| Age at the first tumor detection, days | 291 | 338 |
| Mean life span of tumor-bearing mice, days | 595 ± 24,2 | 592 ± 25,3 |
| Mammary adenocarcinoma | 22 (33%) | 15 (25%) |
| Malignant lymphoma | 6 (10%) | 4 (7%) |
| Lung adenoma | 1 (2%) | 1 (2%) |
| Lung adenocarcinoma | 1 (2%) | 1 (2%) |
| Subcutaneous fibrosarcoma | 2 (3%) | - |
| Cavernous liver hemangioma | 1 (2%) | - |
| Ovarian granulesa cell tumour | 1 (2%) | - |
| Non-tumor pathology (number of cases, %) | ||
| Pneumonia | 25 (42%) | 30 (50%) |
| Hepatitis | 5 (8%) | 3 (5%) |
| Nephropathy | 5 (8%) | 8 (13%) |
| Enteritis | 3 (5%) | 5 (8%) |
| Adnexitis | 3 (5%) | 2 (3%) |
| Peritonitis | 2 (3%) | 0 |
| Bleeding | 0 | 1 (2%) |
– p<0,05