Research shows that two genes, CALR and PIEZO1, behave differently in women with repeated miscarriage. In a 2026 study in Medicine, CALR was more active and PIEZO1 less active in the uterine lining of 10 affected women compared with 10 controls. Gram Research analysis suggests these are early leads, not proven causes or treatments.
Repeated miscarriage affects many couples, and its causes are still not fully understood. A 2026 study published in the journal Medicine looked at how the body handles lactate, a natural fuel molecule, to find genes involved in losing pregnancies again and again. Using public genetic databases and lab tests on endometrial tissue (the lining of the uterus) from 10 women with repeated miscarriage and 10 women without, researchers found that two genes, CALR and PIEZO1, behaved differently in the two groups. CALR was more active and PIEZO1 was less active in women with repeated miscarriage. The genes appear to be connected to immune and cell-signaling pathways. The researchers also suggested some possible drugs, including estradiol, that might act on these genes. According to research reviewed by Gram, this work is an early step. It identifies possible targets but does not show that these genes cause miscarriage or that any treatment works.
Key Statistics
A 2026 observational study published in the journal Medicine found that CALR was more active and PIEZO1 was less active in uterine lining samples from 10 women with repeated miscarriage compared with 10 women without.
According to research reviewed by Gram, a 2026 study combining public genetic datasets with lab testing identified two key genes, CALR and PIEZO1, linked to repeated miscarriage and to cytokine signaling pathways.
A 2026 computer-based drug analysis in the journal Medicine proposed estradiol as one candidate compound predicted to act on both CALR and PIEZO1, though this has not been tested in people.
The Quick Take
- What they studied: Researchers asked whether genes linked to lactate, a fuel molecule the body makes and uses, play a role in repeated miscarriage, and whether those genes could become targets for future treatments.
- Who participated: The study combined data from two large public genetic databases with lab tests on uterine lining tissue from 10 women who had experienced repeated miscarriage and 10 women who had not. The databases did not list their exact sizes in the study summary, so the lab group of 20 is the clearest number available.
- Key finding: Two genes, CALR and PIEZO1, stood out. CALR was more active and PIEZO1 was less active in women with repeated miscarriage. These differences were seen across the public datasets and were confirmed in the 20 tissue samples tested in the lab.
- What it means for you: This research does not change how anyone should prevent or treat miscarriage today. It points to genes that scientists may study further. If you have experienced repeated pregnancy loss, talk with your doctor or a fertility specialist about tests and options that are already proven.
The Research Details
This was an observational study, which means the researchers watched and measured what was already present rather than assigning treatments to people. They began with two public gene activity datasets from the Gene Expression Omnibus, a free database where researchers share lab results. One dataset was used to find patterns, and the second was used to check whether those patterns held up.
The team first looked for genes that were active at different levels in repeated miscarriage compared with healthy controls. They then compared these genes against a list of 262 genes known to be involved in lactate metabolism, which is how cells process lactate. The genes that appeared on both lists were narrowed down using a network map showing how proteins interact, and then two machine learning methods were used to rank which genes best separated the two groups.
Finally, the researchers ran a lab test called RT-qPCR on endometrial tissue from 10 women with repeated miscarriage and 10 without. This test measures how strongly a gene is switched on. They also explored which biological pathways the genes belonged to, mapped possible regulators such as microRNAs and transcription factors, and used a drug database to suggest compounds that might affect the genes.
Combining several methods makes the findings more trustworthy than any single test. Public datasets allow the pattern to be checked in different groups of women, and the lab test confirms that the pattern shows up in real tissue. Using machine learning helps rank genes objectively instead of relying only on what researchers expected to see. Together, these steps help narrow a very large list of genes down to a short, testable one.
The study used a sensible, layered approach and checked results in more than one dataset and in lab tissue. However, the lab portion was small, with only 10 people per group, which makes results more sensitive to chance and individual differences. The study is also observational, so it can show that genes differ between groups but cannot prove that those differences cause miscarriage. Some of the drug suggestions come from computer predictions rather than tests in people or animals. The study was published in a peer-reviewed journal, which means outside experts reviewed it before publication.
What the Results Show
The researchers found that CALR and PIEZO1 were the two key genes in this analysis. CALR was higher in women with repeated miscarriage, and PIEZO1 was lower. These patterns were seen in the public databases and were also present in the lab tests on 10 women with repeated miscarriage and 10 without.
In plain terms, CALR is a protein that helps shape and manage other proteins inside cells, and PIEZO1 is a channel that helps cells sense physical pressure and let certain ions pass through. The study suggests both may influence how the uterine lining responds to signals from the immune system. The authors linked the genes to cytokine signaling, a communication system that helps immune cells coordinate, and this may be part of why they stood out.
The team also built a network showing what might control these genes. A long noncoding RNA called XIST, along with several shared transcription factors such as MYC, bHLH, and vitamin D receptor, appeared in this network. Transcription factors are proteins that switch genes on or off. These links are predictions based on existing biological maps, so they still need confirmation in future experiments.
The researchers suggested several drugs that might act on CALR and PIEZO1, and estradiol, a form of estrogen, was among them. This is a computer-based prediction from a drug database. It does not mean estradiol is safe or effective for preventing miscarriage, and hormone treatments carry their own risks that a doctor should weigh. Other compounds were also proposed, but these need laboratory and clinical testing before anyone can judge their value.
Repeated miscarriage has long been linked to immune problems, clotting issues, hormone imbalances, and uterine lining changes. This study adds to a growing body of work suggesting that the metabolism of lactate and related immune signaling may be part of the picture. It builds on earlier gene-level studies by combining several datasets with a lab check, which is a common path for early discovery work. Because it is one of the first to focus on lactate-related genes in this condition, it is best viewed as a starting point rather than a settled answer.
The lab test included only 20 women in total, which is small. Results from small groups can change when larger groups are studied. The study also did not clearly report the sample sizes of the public datasets in the summary, which makes it harder to judge how strong the database comparisons are. Because the work is observational, it cannot show cause and effect. The drug suggestions come from prediction tools and have not been tested in people. Finally, the lab samples came from a single type of tissue at one point in time, so they may not capture how gene activity changes during pregnancy.
The Bottom Line
Based on this study alone, there are no changes to clinical care. Confidence that CALR and PIEZO1 differ between women with repeated miscarriage and other women is moderate, since the pattern appeared across several data sources. Confidence that these genes cause miscarriage or that estradiol or any other drug would help is low, because those points have not been tested. Research shows that the best current steps include medical evaluation for repeated pregnancy loss, which may involve checking for immune, clotting, hormone, and uterine causes.
Researchers studying pregnancy loss, reproductive scientists, and clinicians who follow new genetic markers may find this work useful. People who have experienced repeated miscarriage may be interested, but they should discuss any personal decisions with their own doctor rather than acting on a laboratory finding. People with no pregnancy concerns do not need to change anything based on this study.
Findings like these usually take years to move from early discovery to real-world use. Larger studies, animal work, and clinical trials would all be needed before any gene-based test or drug could be considered. For anyone currently dealing with repeated miscarriage, standard medical evaluation is the realistic path to answers in the near term.
Frequently Asked Questions
What genes are linked to repeated miscarriage?
A 2026 study in the journal Medicine identified CALR and PIEZO1 as key genes in repeated miscarriage. CALR was more active and PIEZO1 less active in affected women, based on public datasets and lab tests on 20 endometrial samples. These findings are early and need more research.
Can lactate metabolism cause repeated miscarriage?
The study did not prove that lactate metabolism causes repeated miscarriage. It looked at genes involved in lactate processing and found some that differed between affected and unaffected women. The researchers describe this as a starting point for future investigation rather than a confirmed cause.
Is estradiol a proven treatment for recurrent miscarriage based on this study?
No proven treatment came from this research. Estradiol was suggested by a computer drug database as possibly acting on CALR and PIEZO1. It has not been tested in clinical trials for this purpose, and hormone treatments carry risks that a doctor should review before any use.
What should I do if I have had two or more miscarriages?
Talk with a doctor or fertility specialist about a medical evaluation after two or more pregnancy losses. Standard evaluations can check for immune, clotting, hormone, and uterine causes. Bring a written history of your pregnancies to the appointment to help your care team plan next steps.
Want to Apply This Research?
- If you are trying to conceive or are pregnant and working with a doctor, track the dates of each pregnancy, the outcome of each one, and any test results your doctor recommends. Record medications, supplements, and any symptoms in a consistent log so your care team has clear information.
- Encourage users to schedule a visit with a healthcare provider after two or more pregnancy losses, and to bring a summary of their history to that appointment. Remind users that this study does not support changing diet, supplements, or medications on their own.
- Over the long term, users can keep a private health record that includes cycle patterns, pregnancy history, and results of medical evaluations, updated after each visit. Users should review new research with a clinician before making any change, and should check the app for updates as larger studies on these genes are published.
This article summarizes an early-stage research study and is for general education only. It is not medical advice. The study used a small number of lab samples and computer-based predictions, so its findings have not been proven in larger groups or confirmed as causes or treatments. Anyone who has experienced pregnancy loss should speak with a qualified healthcare provider about personal evaluation and care. Do not start, stop, or change any medication or supplement based on this article.
This research translation is published by Gram Research, the science division of Gram, an AI-powered nutrition tracking app.