For decades we believed that extreme nausea during pregnancy was caused by “hormones.” A large study found the real culprit

The beginning of pregnancy for many is associated with horrible nausea and vomiting that have become almost an inevitable and deeply annoying toll in pregnancy and that many women fear. And the reality is that, for a percentage of these women, nausea becomes a big problem and evolves into a very serious form called hyperemesis gravidarum. What was believed. At first, the most classic reviews They pointed squarely at the ‘hormonal dance’ that pregnant women experience while the placenta is forming. Here the peaks of human chorionic gonadotropin (which is the hormone that pregnancy tests detect), along with estrogens and progesterone, were the main responsible for this discomfort. However, in clinical practice, the exact cause remained uncertain, since it was not understood why some women only felt mild morning sickness and others ended up hospitalized due to the severe dehydration caused by vomiting. And the answer was in the DNA. A great study. Here science has dotted the i’s with an article published in Nature which has analyzed the data of almost 11,000 cases of hyperemesis gravidarum and contrasted it with more than 420,000 women who did not have this problem. The result. He targeted ten genes associated with this severe form of extreme nausea, but among all of them the GDF15 gene emerged as the main culprit. And here the different experts point out that the developing fetus and the placenta produce the hormone GDF15, which is produced from the gene that we mentioned before and sends it directly to the blood, causing this nausea. Although the key is not just how much hormone is produced, but the degree of prior exposure the mother had to this hormone before pregnancy. In this way, women who had low levels of GDF15 before becoming pregnant turn out to be much more sensitive to the sudden surge of this hormone from the fetus, which triggers the most severe symptoms of nausea and vomiting. A discovery with evidence. Despite the forcefulness that accompanies this evidence, the study suggests that the gene GDF15 It is the main cause, but not the only one. The fact that there are other genes involved demonstrates that hyperemesis gravidarum is a multifactorial condition so calling it the “sole cause” would be scientifically inaccurate, but classifying it as the most determining genetic factor is, today, a fact supported by the best peer-reviewed literature. What does it mean? Identifying GDF15 as the main biological switch of this problem is undoubtedly the first step to be able to apply a treatment that can help these future mothers who suffer from significant vomiting during pregnancy, and especially in the first trimester. Although it is true that this does not explain many other symptoms of pregnancy, such as heartburn or that some things begin to feel bad ‘just because’. Although there is still a lot of research ahead to discover them. Images | tirachardz on Freepik In Xataka | We have been sending pregnant women to bed for decades as a precaution. Science has just proven that it is a big mistake

This is how an AI made an impossible pregnancy possible

For couples facing a diagnosis of male infertility severe, like azoospermia (the absence of sperm in the ejaculate), the path is usually bleak. The solution goes through different very expensive techniques and in many cases invasive that can become inaccessible and leave a couple without options to have a biological child. But science has found a way to provide a solution to this problem, and artificial intelligence is the protagonist. The milestone. Columbia University has achieved the first clinical confirmation of a pregnancy using technology based on artificial intelligence to recover a sperm in a sample where there was none a priori. Now, this breakthrough offers hope for couples who are affected by severe male infertility. This success was reported in an especially difficult case: a couple with a 19-year history of infertility and many failed attempts to conceive a child. In total, the couple faced 19 cycles of egg retrieval and two testicular removal procedures that were not producing any results. But finally AI achieved something that traditional methods could not. Sperm hunter. The system used for this case is called STAR, which is the English acronym for Sperm Tracking and Recovery and it has three elements: A microfluidic chip: a small disposable plate through which the semen sample flows. High-speed imaging: A system that captures 300 frames per second as the sample progresses. A deep learning AI: the brain of the operation that will analyze all the images in search of the sperm that will give a new life along with the egg. The system with all these elements has the capacity to analyze the sample at a rate of 400 microliters per hour, processing up to one million images during this time. AI, which is based on architecture “You Only Look Once“, scans each frame in real time in search of sperm candidates so that they can later be extracted from the sample. But logically something so important cannot be entrusted to a single frame. That is why the AI, to be sure that it has seen a sperm, will use at least three frames where it is seen before giving the good news. Although there is one detail to resolve: a sperm is like a needle in a haystack (or even worse). This means that the moment there is a confirmed positive there is no time for a human to ‘catch’ it, but rather the system has a microfluidic mechanism that is activated and isolates the specific sperm in a volume of 300 nanoliters that can now be used by an embryologist. A success story. The couple in the studio was a major challenge. The man, 39, had azoospermia and had already gone through multiple manual searches and failed surgical extractions. The 37-year-old woman had a very low ovarian reserve. At first, embryologists began to look for some type of sperm in the semen, but there were no good results. That is when STAR was chosen to analyze 2.5 million images in approximately 2 hours, giving a result of seven sperm and two of them being mobile. Those two sperm, which would have gone completely unnoticed by the human eye (unless one was very lucky), were recovered and injected into two eggs. Both eggs fertilized and developed into embryos, which were transferred. Thirteen days later the good news arrived, as the patient had her first positive pregnancy test. A new path. As we mentioned at the beginning, this new AI-based identification system gives a lot of hope to couples who may have many problems getting fertilized due to problems finding any sperm in the ejaculate. Something that is currently in the research phase and is in the United States, so its landing in Europe may take some time. In Xataka | Having many children sounds great as a way to preserve the species. Until you start passing genetic mutations

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