| Literature DB >> 32230833 |
Anna Pedrinolla1, Alessandro L Colosio1, Roberta Magliozzi2, Elisa Danese3, Emine Kirmizi4, Stefania Rossi2, Silvia Pogliaghi1, Massimiliano Calabrese2, Matteo Gelati3, Ettore Muti5, Emiliano Cè6,7, Stefano Longo6, Fabio Esposito6,7, Giuseppe Lippi3, Federico Schena1, Massimo Venturelli1,8.
Abstract
The interplay between chronic constraint and advanced aging on blood flow, shear-rate, vascular function, nitric oxide (NO)-bioavailability, microcirculation, and vascular inflammation factors is still a matter of debate. Ninety-eight individuals (Young, n=28, 23±3yrs; Old, n=36, 85±7yrs; Bedridden, n=34, 88±6yrs) were included in the study. The bedridden group included old individuals chronically confined to bed (3.8±2.3yrs). A blood sample was collected and analyzed for plasma nitrate, and vascular inflammatory markers. Hyperemic response (∆peak) during the single passive leg movement (sPLM) test was used to measure vascular function. Skeletal muscle total hemoglobin was measured at the vastus lateralis during the sPLM test, by means of near infrared spectroscopy (NIRS). Bedridden subjects revealed a depletion of plasma nitrates compared with Old (-23.8%) and Young (-31.1%). Blood flow was lower in the Bedridden in comparison to Old (-20.1%) and Young (-31.7%). Bedridden presented lower sPLM ∆peak compared Old (-72.5%) and the Young (-83.3%). ∆peak of NIRS total hemoglobin was lower in the Bedridden compared to that in the Young (-133%). All vascular inflammatory markers except IL-6 were significantly worse in the Bedridden compared to Old and Young. No differences were found between the Old and Young in inflammatory markers. Results of this study confirm that chronic physical constraint induces an exacerbation of vascular disfunction and differential regulation of vascular-related inflammatory markers. The mechanisms involved in these negative adaptations seems to be associated with endothelial dysfunction and consequent diminished NO-bioavailability likely caused by the reduced shear-rate consequential to long-term reduction of physical activity.Entities:
Keywords: Inflammatory profile; Vascular function; bed-rest; physical constrain
Year: 2020 PMID: 32230833 PMCID: PMC7230833 DOI: 10.3390/jcm9040918
Source DB: PubMed Journal: J Clin Med ISSN: 2077-0383 Impact factor: 4.241
Subjects characteristics 1.
| Characteristic | Young ( | Old ( | Bedridden ( |
|---|---|---|---|
| Age - years | 23 ± 3 | 85 ± 7 2 | 88 ± 6 2 |
| Female - n (%) | 28 (100) | 25 (70) 2 | 22 (55) 2 |
| Bedridden - years | 0 | 0 | 3.8 ± 2.3 2,3 |
| Weight - kg | 60 ± 10 | 65 ± 12 | 61 ± 15 |
| Height - m | 1.6 ± 0.3 | 1.6 ± 0.4 | 1.6 ± 0.6 |
| BMI - kg·m−2 | 22.8 ± 1.8 | 24.3 ± 4.3 | 25.2 ± 6.0 2 |
| Tight volume - L | 8.4 ±1.5 | 8.1 ± 1.7 | 6.7 ± 1.3 2,3 |
| Comorbidities | |||
| Number of comorbidities per individual | 0 | 3 ± 1 2 | 4.0 ± 1 2,3 |
| Cardiovascular Disease - n (%) | 0 | 2 (6) 2 | 4 (12) 2,3 |
| Diabetes - n (%) | 0 | 4 (12) 2 | 3 (9) 2 |
| Arthrosis- n (%) | 0 | 3 (9) 2 | 4 (12) 2 |
| Pharmacological Treatment | |||
| Number of medications per individual | 0 | 1 ± 0.5 2 | 4.2 ± 2.22,3 |
| Antihypertensive - n (%) | 0 | 4 (12) | 8 (24) 2,3 |
| Cardiological medication – n (%) | 0 | 2 (6) | 3 (9) 3 |
| Antipsychotics - n (%) | 0 | 0 | 6 (18) 2,3 |
| Antidepressant - n (%) | 0 | 0 | 11 (32) 2,3 |
| Benzodiazepines – n (%) | 0 | 2 (6) 2 | 7 (20) 2,3 |
1 Data are presented mean ± SD. Kruskal–Wallis one-way analysis of variance on ranks was used to identify between-group differences. BMI, body mass index. 2 Between-group difference versus Young group (p < 0.05). 3 Between-group difference versus Old group (p < 0.05)
Comparison between groups: Young, Old, and Bedridden 1.
| Variable | Young ( | Old ( | Bedridden ( |
|---|---|---|---|
| Nitrates - µM | 49.5 (38.1–62.4) | 44.8 (34.7–56.8) | 34.1 (23.8–40.9) 2,3 |
| Values at rest | |||
| Femoral artery diameter - cm | 0.79 (0.73–0.83) | 0.78 (0.73–0.83) | 0.58 (0.50–0.70) 2,3 |
| Femoral Blood Flow - mL·min−1·L−1 | 43.5 (29.5–51.4) | 37.2 (24.1–49.1) | 29.7 (20.7–36.1) 2,3 |
| Femoral artery shear-rate – s−1 | 709 (539–876) | 609 (394–701) | 452(264–505) 2,3 |
| Total Hemoglobin - µM 4 | 41.2 (35.9–62.4) | 26.4 (14.2–51.8) | 22.7 (11.4–25.7) 2 |
| sPLM-induced hyperemia | |||
| Blood Flow ∆Peak - mL·min−1·L−1 | 65.2 (28.7–114.9) | 39.7 (10.5–56.4) 2 | 10.9 (5.8–16.8) 2,3 |
| Blood Flow AUC - AU | 105.8 (57.3–265.5) | 17.5 (-2.3–67.7) 2 | 2.3 (−11.5–13.3) 2 |
| Total Hemoglobin ∆Peak -µM 4 | 1.5 (1.3–2.5) | 0.2 (−0.2–0.9) | −0.5 (−0.6–0.02) 2 |
| Total Hemoglobin AUC- AU 4 | 39.0 (25.9–89.1) | −9.4 (−29.6–30.1) | −48.9 (−51.9–−26.5) 2 |
| Inflammatory profile | |||
| TNF-α - pg·mL−1 | 33.2 (22.8–39.4) | 35.6 (23.5–42.8) | 19.7 (18.2–28.1) 2,3 |
| IL-1β - pg·mL−1 | 0.79 (0.5–0.9) | 0.57 (0.4–1.1) | 1.17 (1.1–1.4) 2,3 |
| IL-6 - pg·mL−1 | 2.7 (1.0–4.9) | 1.9 (1.9–3.9) | 2.7 (2.5–3.1) |
| IL-8 - pg·mL−1 | 10.1 (6.8–14.5) | 13.1 (8.9–15.3) | 6.4 (5.7–9.2) 3 |
| IFN-γ - pg·mL−1 | 0.82 (0.2–2.7) | 3.15 (1.1–9.8) | 7.79 (7.2–7.9) 3 |
| GM-CSF - pg·mL−1 | 0.92 (0.36–2.36) | 1.51 (1.2–2.1) | 3.20 (2.9–3.3) 2,3 |
| PDGF - pg·mL−1 | 160.9 (52.7–331.1) | 267.7 (125.1–312.3) | 9.7 (7.4–70.2) 2,3 |
| RANTES - pg·mL−1 | 16,159 (10,162–22,262) | 21,612 (16,470–23,046) | 33.9 (28.1–35.5) 2,3 |
AUC, area under the curve; TNF-α,tumor necrosis factor-α; IL-1β, interleukin-1β;IL-6, interleukin-6; IL-8 interleukin-8; IFN- γ, interferon-γ; PDGF, platelet-derived growth factor; GM-CSF, granulocyte-macrophage colony stimulating factor, RANTES, regulated on activation, normal T cells expressed and secreted. 1 Data are presented as median and (25–75 percentile). Kruskal–Wallis one-way analysis of variance on ranks was used to identify between-group differences. 2 Between-groups difference versus the Young group (p < 0.05) 3 Between-groups difference versus the Old group (p < 0.05). 4 Total hemoglobin was measured by means of near-infrared spectroscopy during the sPLM Test, on a sub-group of 10 individuals for each group.
Figure 1Femoral blood flow and NIRS total hemoglobin during passive limb movement test. Data are presented as mean and standard deviation in the three groups: Young (panel A, femoral blood flow normalized for tight volume; panel D, NIRS total hemoglobin); Old (panel B, femoral blood flow. normalized for tight volume; panel E NIRS total hemoglobin); Bedridden (panel C femoral blood flow normalized for tight volume; panel F, NIRS total hemoglobin). † Between-groups difference versus the Young group (p < 0.05) ‡ Between-groups difference versus the Old group (p < 0.05).
Figure 2Inflammatory profile and comparison between groups: Young, Old, and Bedridden. Data are presented as mean and standard deviation. Kruskal–Wallis one-way analysis of variance on ranks was used to identify between groups differences. Tumor necrosis factor-α (TNF-α, panel A); interleukin-1β (IL-1β, panel B); interleukin-6 (IL-6, panel C); interleukin-8 (IL-8, panel D); interferon-γ (IFN- γ, panel E); platelet-derived growth factor (PDGF, panel F); granulocyte-macrophage colony stimulating factor (GM-CSF, panel G), regulated on activation, normal T cells expressed and secreted (RANTES, panel H). † Between-groups difference versus the Young group (p < 0.05). ‡ Between-groups difference versus the Old group (p < 0.05).
Figure 3Direct and indirect effects of activity and physical constrain on the physiological aging process. Aging brings with itself several (mal)adaptations at vascular level such as a decrease in endothelial function with a reduction (↓) of Nitric Oxide (NO) bioavailability, followed by an increase (↑) in capillary atrophy leading to a poorer circulation and microcirculation. The worsening of these physiological mechanisms during aging serves as basis for the development of vascular dysfunction and consequently the risk of cardiovascular disease and other comorbidities increases. When the normal aging process is accompanied by physical constraint, with of the absence of movement, as in the case of bedridden individuals, the lack of activity directly impacts blood flow with a consequent reduction in shear-rate together with an altered inflammatory profile. All these events work together in a further downregulation of endothelial function, NO-bioavailability, and capillary atrophy with worst outcomes on circulation and microcirculation. Chronic physical constraint ends in an exacerbation of the vascular dysfunction, leading to a higher risk for cardiovascular disease and other related comorbidities. At the contrary, when the regulator aging process is accompanied by an active lifestyle, as in the case of our active oldest–old, the prolonged and repeated movement serves as a direct stimulus for increasing blood flow and shear-rate, together with a maintenance or amelioration of the inflammatory status, serving as a direct positive stimulus for the endothelial function, NO-bioavailability, maintenance of capillary health, circulation, and microcirculation. Consequently, vascular function is maintained and the risk of developing cardiovascular disease and related comorbidities is reduced.