PubMed Conditions Bacteria Progression

Condition: Percent Association 📹 Video Explanation

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Caution:This is based on bacteria in common. Some conditions have short lists due to few studies. DNA is also a significant factor for developing or not developing a condition.

Related Condition Name Overlab Percentage
Acne 56 %
ADHD 32 %
Allergies 33 %
Alopecia (Hair Loss) 30 %
Ankylosing spondylitis 37 %
Anorexia Nervosa 46 %
Asthma 42 %
Atherosclerosis 46 %
Autism 33 %
Barrett esophagus cancer 38 %
Bipolar Disorder 42 %
Brain Trauma 35 %
Carcinoma 47 %
Cerebral Palsy 75 %
Chronic Fatigue Syndrome 36 %
Chronic Kidney Disease 46 %
Chronic Obstructive Pulmonary Disease (COPD) 37 %
Chronic Urticaria (Hives) 52 %
Constipation 88 %
Coronary artery disease 33 %
Crohn`s Disease 33 %
cystic fibrosis 50 %
Dermatomyositis 67 %
Eczema 38 %
Endometriosis 40 %
Eosinophilic Esophagitis 32 %
Epilepsy 41 %
Fibromyalgia 37 %
gallstone disease (gsd) 57 %
Gastroesophageal reflux disease (Gerd) including Barrett`s esophagus 48 %
Hidradenitis Suppurativa 31 %
IgA nephropathy (IgAN) 34 %
Inflammatory Bowel Disease 38 %
Insomnia 35 %
Irritable Bowel Syndrome 31 %
Liver Cirrhosis 38 %
Lung Cancer 42 %
ME/CFS with IBS 56 %
ME/CFS without IBS 36 %
Neuropathy (all types) 45 %
neuropsychiatric disorders (PANDAS, PANS) 33 %
Nonalcoholic Fatty Liver Disease (nafld) Nonalcoholic 32 %
obsessive-compulsive disorder 36 %
Osteoarthritis 60 %
Osteoporosis 64 %
Postural orthostatic tachycardia syndrome 83 %
Psoriasis 38 %
Rosacea 36 %
Sjögren syndrome 51 %
Sleep Apnea 54 %
Stress / posttraumatic stress disorder 35 %
Systemic Lupus Erythematosus 31 %
Type 1 Diabetes 35 %
Ulcerative colitis 31 %
Unhealthy Ageing 48 %

BOOM

All suggestions are computed solely on their predicted microbiome impact. Safety, side-effects etc must be evaluated by your medical professionals before starting. Some items suggests have significant risk of adverse consequences for some people.

Special thanks to David F Morrison and Geert Van Houcke for doing Quality Assurance. Special thanks to Oliver Luk, B.Sc. (Biology) from BiomeSight for spot checking the coding of data from the US National Library of Medicine

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