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Amsel’s Criteria
Blood-Brain Barrier (BBB)
Bradford Hill Criteria
Coelomic Metaplasia Theory
Drug Repurposing
Endometriomas
Environmental Theory of Endometriosis
Estrobolome
Estrogen
Estrogen Receptors (ER)
Facultative Anaerobes
Fecal Microbiota Transplantation (FMT)
Genetic and Epigenetic Theory of Disease
Gram-Negative Bacteria
Idiopathic
Guides & Resources
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Diagnosis of the menopause: NICE guidance and quality standards
Structured Exercise Benefits in Euthyroid Graves’ Disease: Improved Capacity, Fatigue, and Relapse
Gut microbiota modulation: a narrative review on a novel strategy for prevention and alleviation of ovarian aging
Dietary Intake and Ovarian Cancer Risk: A Systematic Review
Maternal Iron Deficiency Anemia Affects Postpartum Emotions and Cognition
Evidence for the Use of Complementary and Alternative Medicine for Pelvic Inflammatory Disease: A Literature Review
Prevalence of hot flushes and night sweats around the world: a systematic review
Vaginal microbiome of women with premature ovarian insufficiency: a descriptive cross-sectional study
Exercise for dysmenorrhoea
Black cohosh (Cimicifuga spp.) for menopausal symptoms.
Nifedipine for primary dysmenorrhoea
Drugs for the treatment of menopausal symptoms.
Does Physical Exercise Lower Endometriosis Risk? Systematic Review Insights
The Effects of Toxic Heavy Metals Lead, Cadmium and Copper on the Epidemiology of Male and Female Infertility
The role of probiotics in improving menstrual health in women with primary dysmenorrhoea
Diabetes Type I
July 7, 2025
Last Updated: 2025-07-07
Microbiome Signatures identifies and validates condition-specific microbiome shifts and interventions to accelerate clinical translation. Our multidisciplinary team supports clinicians, researchers, and innovators in turning microbiome science into actionable medicine.
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A microbiome signature is defined through a comprehensive approach that integrates differential abundance analysis across multiple datasets, followed by interpretation for biological relevance. This rigorous process ensures that the identified signature is both statistically robust and biologically meaningful. Associations that do not meet statistical significance or lack mechanistic relevance are excluded from the final signature.
A microbiome signature is defined through a comprehensive approach that integrates differential abundance analysis across multiple datasets, followed by interpretation for biological relevance. This rigorous process ensures that the identified signature is both statistically robust and biologically meaningful. Associations that do not meet statistical significance or lack mechanistic relevance are excluded from the final signature.
A microbiome signature is defined through a comprehensive approach that integrates differential abundance analysis across multiple datasets, followed by interpretation for biological relevance. This rigorous process ensures that the identified signature is both statistically robust and biologically meaningful. Associations that do not meet statistical significance or lack mechanistic relevance are excluded from the final signature.
A microbiome signature is defined through a comprehensive approach that integrates differential abundance analysis across multiple datasets, followed by interpretation for biological relevance. This rigorous process ensures that the identified signature is both statistically robust and biologically meaningful. Associations that do not meet statistical significance or lack mechanistic relevance are excluded from the final signature.
A microbiome signature is defined through a comprehensive approach that integrates differential abundance analysis across multiple datasets, followed by interpretation for biological relevance. This rigorous process ensures that the identified signature is both statistically robust and biologically meaningful. Associations that do not meet statistical significance or lack mechanistic relevance are excluded from the final signature.
A microbiome signature is defined through a comprehensive approach that integrates differential abundance analysis across multiple datasets, followed by interpretation for biological relevance. This rigorous process ensures that the identified signature is both statistically robust and biologically meaningful. Associations that do not meet statistical significance or lack mechanistic relevance are excluded from the final signature.
A microbiome signature is defined through a comprehensive approach that integrates differential abundance analysis across multiple datasets, followed by interpretation for biological relevance. This rigorous process ensures that the identified signature is both statistically robust and biologically meaningful. Associations that do not meet statistical significance or lack mechanistic relevance are excluded from the final signature.