| Literature DB >> 35444076 |
Keiichi Tsuji1, Shinichiro Nakamura2,3, Tomohiro Aoki4, Kazuhiko Nozaki1.
Abstract
Cerebral artery structure has not been extensively studied in primates. The aim of this study was to examine the cerebrovascular anatomy of cynomolgus monkeys (Macaca fascicularis), which are one of the most commonly used primates in medical research on human diseases, such as cerebral infarction and subarachnoid hemorrhage. In this study, we investigated the anatomy and diameter of cerebral arteries from 48 cynomolgus monkey brain specimens. We found three anatomical differences in the vascular structure of this species compared to that in humans. First, the distal anterior cerebral artery is single. Second, the pattern in which both the anterior inferior cerebellar artery and posterior inferior cerebellar artery branch from the basilar artery is the most common. Third, the basilar artery has the largest diameter among the major arteries. We expect that this anatomical information will aid in furthering research on cerebrovascular disease using cynomolgus monkeys.Entities:
Keywords: anterior cerebral artery; cerebrovascular anatomy; cynomolgus monkey; diameter of cerebral artery; inferior cerebellar artery
Mesh:
Year: 2022 PMID: 35444076 PMCID: PMC9388346 DOI: 10.1538/expanim.22-0002
Source DB: PubMed Journal: Exp Anim ISSN: 0007-5124
Fig. 1.The observation of cerebrum was conducted from the bottom of the frontotemporal lobes (A), and from the bottom of the cerebellar and brain stem (B). The Circle of Willis was observed after striping the intracranial arteries from the brain (C). The vertebral artery, basilar artery, and cerebellar arteries were also detected (D). In this figure, the anterior cerebral artery of the monkey is classified as single type.
Fig. 2.Measured sites of cerebral artery diameter.
The diameter of cerebral arteries of cynomolgus monkey in this study
| median | [IQR] | Group | |
|---|---|---|---|
| BA trunk | 1.37 | [1.15, 1.52] | a |
| Lt.VA | 1.14 | [0.94, 1.30] | b |
| Rt.VA | 1.03 | [0.87, 1.22] | b |
| Lt.ICA | 1.13 | [1.02, 1.25] | b |
| Rt.ICA | 1.10 | [0.95, 1.29] | b |
| Lt.M1 | 0.87 | [0.74, 1.00] | c |
| Rt.M1 | 0.91 | [0.74, 1.00] | c |
| A2 | 0.68 | [0.57, 0.77] | d |
| Lt.P1 | 0.68 | [0.59, 0.78] | d |
| Rt.P1 | 0.69 | [0.60, 0.82] | d |
| Lt.A1 | 0.61 | [0.51, 0.76] | d,e |
| Rt.A1 | 0.62 | [0.54, 0.73] | d,e,f |
| Lt.PICA | 0.55 | [0.45, 0.64] | f,g |
| Rt.PICA | 0.54 | [0.46, 0.61] | f,g |
| Lt.SCA | 0.49 | [0.46, 0.59] | g |
| Rt.SCA | 0.49 | [0.41, 0.53] | g |
| Lt.Pcom | 0.47 | [0.37, 0.62] | e,g,h |
| Rt.Pcom | 0.46 | [0.37, 0.54] | g,h |
| Lt.AchA | 0.41 | [0.32, 0.45] | h,i |
| Rt.AchA | 0.40 | [0.32, 0.43] | h,i |
| Lt.AICA | 0.34 | [0.26, 0.38] | i |
| Rt.AICA | 0.33 | [0.25, 0.39] | i |
interquartile range (IQR) [25%, 75%]. There are significant differences between different groups, but there are no significant differences within the same group.
Correlation between cerebral artery diameter and weight and age
| Weight | Age | ||
|---|---|---|---|
| A2 | Pearson’s Correlation | 0.050 | 0.188 |
| 0.784 | 0.294 | ||
| Lt.A1 | Pearson’s Correlation | 0.292 | −0.058 |
| 0.099 | 0.750 | ||
| Rt.A1 | Pearson’s Correlation | −0.111 | 0.055 |
| 0.539 | 0.76 | ||
| Lt.ICA | Pearson’s Correlation | 0.071 | −0.042 |
| 0.693 | 0.816 | ||
| Rt.ICA | Pearson’s Correlation | −0.135 | 0.100 |
| 0.453 | 0.578 | ||
| Lt.M1 | Pearson’s Correlation | 0.068 | 0.276 |
| 0.706 | 0.12 | ||
| Rt.M1 | Pearson’s Correlation | −0.035 | 0.336 |
| 0.846 | 0.056 | ||
| Lt.AchA | Pearson’s Correlation | 0.037 | −0.113 |
| 0.840 | 0.533 | ||
| Rt.AchA | Pearson’s Correlation | 0.034 | 0.092 |
| 0.851 | 0.610 | ||
| Lt.Pcom | Pearson’s Correlation | −0.106 | 0.284 |
| 0.555 | 0.109 | ||
| Rt.Pcom | Pearson’s Correlation | −0.165 | 0.169 |
| 0.359 | 0.347 | ||
| Lt.P1 | Pearson’s Correlation | 0.064 | 0.024 |
| 0.725 | 0.895 | ||
| Rt.P1 | Pearson’s Correlation | 0.072 | 0.122 |
| 0.691 | 0.501 | ||
| Lt.SCA | Pearson’s Correlation | 0.141 | 0.253 |
| 0.435 | 0.155 | ||
| Rt.SCA | Pearson’s Correlation | 0.087 | 0.174 |
| 0.632 | 0.334 | ||
| Lt.AICA | Pearson’s Correlation | 0.031 | 0.148 |
| 0.865 | 0.411 | ||
| Rt.AICA | Pearson’s Correlation | 0.026 | −0.002 |
| 0.885 | 0.991 | ||
| Lt.PICA | Pearson’s Correlation | 0.197 | −0.044 |
| 0.271 | 0.810 | ||
| Rt.PICA | Pearson’s Correlation | 0.048 | 0.177 |
| 0.791 | 0.325 | ||
| BA trunk | Pearson’s Correlation | 0.087 | 0.399* |
| 0.631 | 0.022 | ||
| Lt.VA | Pearson’s Correlation | 0.232 | 0.217 |
| 0.194 | 0.226 | ||
| Rt.VA | Pearson’s Correlation | 0.113 | 0.389* |
| 0.531 | 0.025 | ||
*Correlation is significant at the P<0.05 level. Tests were two-tailed.
Fig. 3.The classification of the anterior cerebral artery (ACA) as single type (A), fenestration type (B), and double ACA type (C, D) based on macroscopic observations of its confluence.
Fig. 4.Both the anterior inferior cerebellar artery (AICA) and the posterior inferior cerebellar artery (PICA) branch from the basilar artery (BA) (A). The AICA branches from the BA and the PICA branches from the vertebral artery (VA) (B). Both the AICA and the PICA branch from the VA (C). The VA branches from the BA. The PICA is double origin type that one branch comes from the VA, while the other branch originates from the BA, which merge into one distally (D). The common trunk of the AICA and the PICA branch from the BA (E).