{"title":"超越HCG测试:基于微生物组的妊娠诊断。","authors":"Prince Kumar , Monica Gulati , Bhupinder Kapoor , Ankit Kumar Yadav , Md Sadique Hussain , Rajesh Kumar","doi":"10.1016/j.cca.2025.120639","DOIUrl":null,"url":null,"abstract":"<div><div>The complex but definitive relationship between pregnancy and the body microbiota offers a significant opportunity for novel diagnostic techniques. This work proposes a new diagnostic method that correlates the significant changes in the gut, vaginal, and oral microbiota composition that occur in the early stages of pregnancy. The main premise is identification of those microbial indicators that are strongly linked to early pregnancy by describing the periodic shifts in these microbial ecosystems. Early and precise pregnancy identification may be made possible by these biomarkers' potential as highly sensitive and precise indicators. More importantly, an understanding of the fundamental processes by which the microbiota in various organs affects pregnancy outcomes, tailored therapies to enhance the health of both the mother and the fetus may be considered as a long-term goal. Analysis of vaginal swabs or saliva is proposed as a non-invasive method that might transform prenatal care. Healthcare professionals might monitor pregnancy progress, understand and mitigate the expected problems, and initiate prompt measures by identifying early pregnancy indicators. Finding microbiome-based indicators of pregnancy complications may also make it possible to identify at-risk patients early and implement individualized treatment plans. We may get fresh understanding of the intricacies of pregnancy and create creative methods to enhance the health of both mothers and children by utilizing the potential of the human microbiome.</div></div>","PeriodicalId":10205,"journal":{"name":"Clinica Chimica Acta","volume":"579 ","pages":"Article 120639"},"PeriodicalIF":2.9000,"publicationDate":"2025-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Beyond the hCG test: Microbiome-based diagnosis of pregnancy\",\"authors\":\"Prince Kumar , Monica Gulati , Bhupinder Kapoor , Ankit Kumar Yadav , Md Sadique Hussain , Rajesh Kumar\",\"doi\":\"10.1016/j.cca.2025.120639\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><div>The complex but definitive relationship between pregnancy and the body microbiota offers a significant opportunity for novel diagnostic techniques. This work proposes a new diagnostic method that correlates the significant changes in the gut, vaginal, and oral microbiota composition that occur in the early stages of pregnancy. The main premise is identification of those microbial indicators that are strongly linked to early pregnancy by describing the periodic shifts in these microbial ecosystems. Early and precise pregnancy identification may be made possible by these biomarkers' potential as highly sensitive and precise indicators. More importantly, an understanding of the fundamental processes by which the microbiota in various organs affects pregnancy outcomes, tailored therapies to enhance the health of both the mother and the fetus may be considered as a long-term goal. Analysis of vaginal swabs or saliva is proposed as a non-invasive method that might transform prenatal care. Healthcare professionals might monitor pregnancy progress, understand and mitigate the expected problems, and initiate prompt measures by identifying early pregnancy indicators. Finding microbiome-based indicators of pregnancy complications may also make it possible to identify at-risk patients early and implement individualized treatment plans. We may get fresh understanding of the intricacies of pregnancy and create creative methods to enhance the health of both mothers and children by utilizing the potential of the human microbiome.</div></div>\",\"PeriodicalId\":10205,\"journal\":{\"name\":\"Clinica Chimica Acta\",\"volume\":\"579 \",\"pages\":\"Article 120639\"},\"PeriodicalIF\":2.9000,\"publicationDate\":\"2025-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinica Chimica Acta\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S0009898125005182\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MEDICAL LABORATORY TECHNOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinica Chimica Acta","FirstCategoryId":"3","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0009898125005182","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MEDICAL LABORATORY TECHNOLOGY","Score":null,"Total":0}
Beyond the hCG test: Microbiome-based diagnosis of pregnancy
The complex but definitive relationship between pregnancy and the body microbiota offers a significant opportunity for novel diagnostic techniques. This work proposes a new diagnostic method that correlates the significant changes in the gut, vaginal, and oral microbiota composition that occur in the early stages of pregnancy. The main premise is identification of those microbial indicators that are strongly linked to early pregnancy by describing the periodic shifts in these microbial ecosystems. Early and precise pregnancy identification may be made possible by these biomarkers' potential as highly sensitive and precise indicators. More importantly, an understanding of the fundamental processes by which the microbiota in various organs affects pregnancy outcomes, tailored therapies to enhance the health of both the mother and the fetus may be considered as a long-term goal. Analysis of vaginal swabs or saliva is proposed as a non-invasive method that might transform prenatal care. Healthcare professionals might monitor pregnancy progress, understand and mitigate the expected problems, and initiate prompt measures by identifying early pregnancy indicators. Finding microbiome-based indicators of pregnancy complications may also make it possible to identify at-risk patients early and implement individualized treatment plans. We may get fresh understanding of the intricacies of pregnancy and create creative methods to enhance the health of both mothers and children by utilizing the potential of the human microbiome.
期刊介绍:
The Official Journal of the International Federation of Clinical Chemistry and Laboratory Medicine (IFCC)
Clinica Chimica Acta is a high-quality journal which publishes original Research Communications in the field of clinical chemistry and laboratory medicine, defined as the diagnostic application of chemistry, biochemistry, immunochemistry, biochemical aspects of hematology, toxicology, and molecular biology to the study of human disease in body fluids and cells.
The objective of the journal is to publish novel information leading to a better understanding of biological mechanisms of human diseases, their prevention, diagnosis, and patient management. Reports of an applied clinical character are also welcome. Papers concerned with normal metabolic processes or with constituents of normal cells or body fluids, such as reports of experimental or clinical studies in animals, are only considered when they are clearly and directly relevant to human disease. Evaluation of commercial products have a low priority for publication, unless they are novel or represent a technological breakthrough. Studies dealing with effects of drugs and natural products and studies dealing with the redox status in various diseases are not within the journal''s scope. Development and evaluation of novel analytical methodologies where applicable to diagnostic clinical chemistry and laboratory medicine, including point-of-care testing, and topics on laboratory management and informatics will also be considered. Studies focused on emerging diagnostic technologies and (big) data analysis procedures including digitalization, mobile Health, and artificial Intelligence applied to Laboratory Medicine are also of interest.