🍽️ high-fat sucrose

AI Engines For more Details: PerplexityKagi LabsYou

  1. Weight Gain and Obesity: Consuming a diet high in both fat and sugar can contribute to weight gain and obesity. Foods rich in both fat and sugar are typically energy-dense but nutrient-poor, meaning they provide a lot of calories without offering much in the way of essential nutrients. Overconsumption of these foods can lead to an imbalance between energy intake and expenditure, resulting in weight gain.

  2. Increased Risk of Metabolic Syndrome: Metabolic syndrome is a cluster of conditions that includes obesity, elevated blood sugar, high blood pressure, and abnormal lipid levels. A diet high in both fat and sugar is associated with an increased risk of developing metabolic syndrome, which in turn raises the risk of type 2 diabetes, cardiovascular disease, and other metabolic disorders.

  3. Impaired Glucose Tolerance and Insulin Resistance: High-fat, high-sugar diets can lead to impaired glucose tolerance and insulin resistance, which are precursors to type 2 diabetes. Excessive consumption of sugary and fatty foods can lead to elevated blood sugar levels and reduced sensitivity to insulin, the hormone responsible for regulating blood sugar levels.

  4. Cardiovascular Disease: Diets high in both fat and sugar are associated with an increased risk of cardiovascular disease. High intake of saturated and trans fats can raise levels of LDL (bad) cholesterol and triglycerides, while excessive sugar consumption can contribute to inflammation, oxidative stress, and endothelial dysfunction, all of which are risk factors for heart disease and stroke.

  5. Non-Alcoholic Fatty Liver Disease (NAFLD): Excessive consumption of dietary fat and sugar can contribute to the development of non-alcoholic fatty liver disease (NAFLD), a condition characterized by the accumulation of fat in the liver. NAFLD can progress to more severe forms of liver disease, including non-alcoholic steatohepatitis (NASH) and cirrhosis, and increase the risk of liver cancer.

  6. Inflammation and Oxidative Stress: Diets high in both fat and sugar can promote inflammation and oxidative stress in the body. Excess consumption of saturated fats and added sugars can trigger immune responses and increase the production of reactive oxygen species (ROS), leading to chronic low-grade inflammation and cellular damage.

  7. Cognitive Decline: Some research suggests that diets high in both fat and sugar may be associated with cognitive decline and an increased risk of neurodegenerative diseases such as Alzheimer's disease. High intake of saturated fats and refined sugars may contribute to inflammation in the brain and impair cognitive function over time.

  8. Digestive Issues: Foods high in both fat and sugar, particularly processed and fried foods, can be difficult to digest and may contribute to gastrointestinal issues such as bloating, gas, and discomfort. Additionally, high-fat, high-sugar diets can disrupt the balance of gut bacteria, leading to dysbiosis and digestive disturbances.

;

Check for interactions on Supp.AI   |   πŸ“š PubMed Citations

Data Contradictions β€” Limits of Certainity

Impacted of high-fat sucrose On Probiotics

Rank Probiotic Impact

Bacteria Impacted by high-fat sucrose

We extend modifiers to include items that changes the parent and child taxa. I.e. for a species, that would be the genus that is belongs to and the strains in the species.

πŸ§™?

Taxonomy Rank Effect Citations Notation
Clostridia class Decreases 📓 Source Study
Bacilli class Increases 👪 Source Study
Bacteroidia class Increases 👪 Source Study
Erysipelotrichia class Increases 👪 Source Study
Aerococcaceae family Increases 👶 Source Study
Bacteroidaceae family Increases 👶 Source Study
Balneicellaceae family Increases 👶 Source Study
Barnesiellaceae family Increases 👶 Source Study
Carnobacteriaceae family Increases 👶 Source Study
Coprobacillaceae family Increases 👶 Source Study
Dysgonomonadaceae family Increases 👶 Source Study
Enterococcaceae family Increases 👶 Source Study
Erysipelotrichaceae family Increases 👶 Source Study
Lactobacillaceae family Increases 👶 Source Study
Leuconostocaceae family Increases 👶 Source Study
Muribaculaceae family Increases 👶 Source Study
Odoribacteraceae family Increases 👶 Source Study
Paludibacteraceae family Increases 👶 Source Study
Porphyromonadaceae family Increases 👶 Source Study
Prevotellaceae family Increases 👶 Source Study
Rikenellaceae family Increases 👶 Source Study
Salinivirgaceae family Increases 👶 Source Study
Streptococcaceae family Increases 👶 Source Study
Tannerellaceae family Increases 👶 Source Study
Tenuifilaceae family Increases 👶 Source Study
Turicibacteraceae family Increases 👶 Source Study
Aerosphaera genus Increases ⚗️ Source Study
Proteiniphilum genus Increases ⚗️ Source Study
Clostridia incertae sedis no rank Decreases 👶 Source Study
environmental samples no rank Decreases 👶 Source Study
unclassified Clostridia no rank Decreases 👶 Source Study
unclassified Megasphaera no rank Decreases ⚗️ Source Study
Bacteroidales incertae sedis no rank Increases 👶 Source Study
environmental samples no rank Increases 👶 Source Study
Lactobacillales incertae sedis no rank Increases 👶 Source Study
unclassified Bacteroidales no rank Increases 👶 Source Study
Caldicellulosiruptorales order Decreases 👶 Source Study
Eubacteriales order Decreases 👶 Source Study
Halanaerobiales order Decreases 👶 Source Study
Koleobacterales order Decreases 👶 Source Study
Moorellales order Decreases 👶 Source Study
Natranaerobiales order Decreases 👶 Source Study
Thermoanaerobacterales order Decreases 👶 Source Study
Thermosediminibacterales order Decreases 👶 Source Study
Bacteroidales order Increases 📓 Source Study
Erysipelotrichales order Increases 📓 Source Study
Lactobacillales order Increases 📓 Source Study
Bacillota phylum Decreases 👪 Source Study
Aerosphaera taetra species Increases ⚗️ Source Study

Impact of high-fat sucrose on Conditions from US National Library of Medicine

A higher number indicates impact on more bacteria associated with the condition and confidence on the impact.

We have X bacteria high and Y low reported. We find that the modifier reduces some and increases other of these two groups. We just tally: X|reduces + Y|Increase = Positive   X|increases + Y|decrease = Negative.

Benefit Ratio:
Numbers above 0 have increasing positive effect.
Numbers below 0 have increasing negative effect.

Condition Positive Impact Negative Impact Benefit Ratio Impact
Acne 0.4 1.2 -2
ADHD 0.4 1.3 -2.25
Allergic Rhinitis (Hay Fever) 0.2 0.6 -2
Allergies 0.7 1.2 -0.71
Allergy to milk products 1.2 0.3 3
Alopecia (Hair Loss) 0.3 0.2 0.5
Alzheimer's disease 0.9 2 -1.22
Amyotrophic lateral sclerosis (ALS) Motor Neuron 0.9 -0.9
Ankylosing spondylitis 0.2 1.2 -5
Anorexia Nervosa 0.2 2 -9
Asthma 0.2 0.6 -2
Atherosclerosis 0.3 0.3
Atrial fibrillation 0.2 0.2
Autism 1.2 1.1 0.09
Barrett esophagus cancer 0.4 0.4
Bipolar Disorder 0.4 0.6 -0.5
Brain Trauma 1.6 1.6
Celiac Disease 0.5 0.3 0.67
Chronic Fatigue Syndrome 0.2 1.7 -7.5
Chronic Kidney Disease 0.3 -0.3
Chronic Obstructive Pulmonary Disease (COPD) 0.2 0.2
Chronic Urticaria (Hives) 0.3 0.6 -1
Coagulation / Micro clot triggering bacteria 1.3 1.3
Colorectal Cancer 0.9 0.9 0
Constipation 0.2 0.4 -1
COVID-19 1.1 2.3 -1.09
Crohn's Disease 0.3 2 -5.67
deep vein thrombosis 0.8 0.8
Depression 2.3 2.9 -0.26
Dermatomyositis 0.6 -0.6
Eczema 0.2 1.1 -4.5
Endometriosis 0.4 0.2 1
Eosinophilic Esophagitis 1.2 -1.2
Epilepsy 0.4 0.4 0
Fibromyalgia 0.2 0.2
Functional constipation / chronic idiopathic constipation 0.4 1.1 -1.75
gallstone disease (gsd) 0.2 -0.2
Gastroesophageal reflux disease (Gerd) including Barrett's esophagus 0.3 0.3
Generalized anxiety disorder 0.6 0.6
giant cell arteritis 0.6 -0.6
Gout 2.4 -2.4
Graves' disease 0.2 3.3 -15.5
Halitosis 0.2 0.2
Hashimoto's thyroiditis 0.2 0.2
Hidradenitis Suppurativa 0.3 -0.3
hypercholesterolemia (High Cholesterol) 0.4 0.4
hyperglycemia 0.2 -0.2
Hyperlipidemia (High Blood Fats) 1 1
hypersomnia 0.2 0.2
hypertension (High Blood Pressure 0.3 0.2 0.5
Inflammatory Bowel Disease 0.3 0.4 -0.33
Insomnia 0.2 0.4 -1
Intelligence 0.4 0.4
Intracranial aneurysms 0.2 0.2
Irritable Bowel Syndrome 0.7 0.8 -0.14
Juvenile idiopathic arthritis 0.3 -0.3
Long COVID 2.7 3.5 -0.3
Lung Cancer 0.4 0.7 -0.75
Metabolic Syndrome 1.1 1.4 -0.27
Mood Disorders 3.2 3.4 -0.06
multiple chemical sensitivity [MCS] 0.2 0.2
Multiple Sclerosis 1 0.3 2.33
Neuropathy (all types) 0.7 0.3 1.33
neuropsychiatric disorders (PANDAS, PANS) 0.4 0.6 -0.5
Nonalcoholic Fatty Liver Disease (nafld) Nonalcoholic 1.2 0.6 1
Obesity 1.3 1.3 0
Osteoarthritis 0.3 -0.3
Osteoporosis 0.7 0.8 -0.14
Parkinson's Disease 0.6 1.5 -1.5
Polycystic ovary syndrome 0.2 0.4 -1
Premenstrual dysphoric disorder 0.3 0.3
primary biliary cholangitis 0.2 -0.2
Psoriasis 0.6 0.3 1
rheumatoid arthritis (RA),Spondyloarthritis (SpA) 1.6 1.8 -0.13
Rosacea 0.6 -0.6
Schizophrenia 1.3 1.4 -0.08
sensorineural hearing loss 0.2 -0.2
Sjögren syndrome 0.3 0.3
Sleep Apnea 0.4 0.4
Small Intestinal Bacterial Overgrowth (SIBO) 0.3 -0.3
Stress / posttraumatic stress disorder 0.4 -0.4
Systemic Lupus Erythematosus 0.9 2.6 -1.89
Tic Disorder 0.2 0.2
Tourette syndrome 0.2 0.2
Type 1 Diabetes 0.3 0.5 -0.67
Type 2 Diabetes 0.9 1.3 -0.44
Ulcerative colitis 1.5 2.7 -0.8

This is an Academic site. It generates theoretical models of what may benefit a specific microbiome results.

Explanations/Info/Descriptions are influenced by Large Language Models and may not be accurate and include some hallucinations. Please report any to us for correction.

Copyright 2016-2024 Lassesen Consulting, LLC [2007], DBA, Microbiome Prescription. All rights served.
Permission to data scrap or reverse engineer is explicitly denied to all users. U.S. Code Title 18 PART I CHAPTER 47 Β§β€―1030, CETS No.185, CFAA
Use of data on this site is prohibited except under written license. There is no charge for individual personal use. Use for any commercial applications or research requires a written license.
Caveat emptor: Analysis and suggestions are based on modelling (and thus infererence) based on studies. The data sources are usually given for those that wish to consider alternative inferences. theories and models.
Inventions/Methodologies on this site are Patent Pending.

Microbiome Prescription do not make any representations that data or analyses available on this site is suitable for human diagnostic purposes, for informing treatment decisions, or for any other purposes and accept no responsibility or liability whatsoever for such use.
This site is not Health Insurance Portability and Accountability Act of 1996 (HIPAA) compliant.