Precursor of spine and brain forms passively

The formation of the neural tube is an extremely important step in embryonic development, as ETH Professor Iber points out. In about one in a thousand embryos, this tube does not form completely. These children are born with a spinal malformation called spina bifida (from the Latin for "split spine"); in extreme cases, they are born with an "open back" (spina bifida aperta) that requires surgery. Not least in order to better prevent this kind of birth defect, scientists would like to understand neurulation -- the process of forming the neural tube -- in as much detail as possible.

"In recent decades, this question has been the focus of intense research," says Roman Vetter, a scientist in Iber's group and co-?author of the new study, which the researchers are now publishing in the journal PNAS. It is known that linear regions in the middle and on the sides of the neural plate are particularly strongly curved. These regions are called hingepoints. Until now, scientists assumed that local biochemical signals in the cells of the neural plate lead to the formation of these hingepoints, and that the hingepoints play an active role in the formation of the neural tube. However, there has been no explanation as to why the hingepoints form exactly where they do.

Computer modelling leads the way

The ETH researchers now postulate an alternative mechanism, according to which the neural plate does not actively bend itself, driven by the hingepoints, to form a tube. Rather, the neural plate initially adopts a slightly curved shape for anatomical reasons. Subsequently, the tissue lying either side of the neural plate (ectoderm and mesoderm) expands. This applies pressure to the neural plate from the side and causes it to passively form into a tube.

The researchers arrived at these findings with the help of computational modelling. Using existing image data from human and mouse embryos, the researchers created a computer model of neurulation based on the physical laws of nature. They then used a supercomputer at ETH Zurich to simulate several possible mechanisms for forming the neural tube.

This showed that the processes were best explained by the expansion of the surrounding tissue. "We use this to demonstrate that hinge points can arise as a result of external pressure. So they are probably not drivers of neurulation, as was previously thought, but a side effect of it," Iber says. Instead, the driver appears to be the surrounding tissue.

Further mechanism in the lower back

Especially in the upper part of the back, neurulation can be explained by the expansion of the adjacent tissue, because for anatomical reasons the neural plate is slightly pre-bent already. Further down the future back, this initial curvature is absent; the neural plate is flat in this area.

With their modelling, the ETH scientists were able to show that here, too, neurulation can be explained by external forces: protein fibres and anchor proteins help to pull the neural plate together like a zip. This causes the neural plate to curve and close into a tube.

According to the researchers, the fact that the mechanisms differ in the upper and lower back could explain why spinal malformations don't occur with the same frequency all along the back. Spina bifida is more common in the lower back, where the surrounding tissues are less supportive.

"We were able to show that mechanical effects are responsible for neurulation," Vetter says, "and our computer modelling was the key to revealing this in the first place." ETH Professor Iber adds, "It's impossible to demonstrate and understand a mechanical effect using biological and genetic experiments alone, without such simulations." Experimental researchers are now likely to try to confirm the ETH researchers' predictions with experiments in animals.

The aim is also to get one step closer to the causes of defects and thus their prevention. It is known that a deficiency of folic acid as well as other deficiency symptoms promote these malformations of the spine. Further research is needed to understand the underlying mechanisms in detail.