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Optimal DX FYI: Dysbiosis and its Management are Complex

The human microbiome comprises all microorganisms like bacteria, viruses, and fungi that live within our bodies and can significantly influence our physiology and health. An imbalance in these microbial communities, known as dysbiosis, can lead to various symptoms depending on where the imbalance occurs and is associated with many systemic diseases.

Factors such as genetics, lifestyle habits, diet (especially ultra-processed foods and additives), and medications can influence dysbiosis. The microbiome holds tremendous potential in diagnosing, treating, and monitoring diseases, and a whole-body systems-based approach to diagnosing dysbiosis may be more effective than focusing solely on specific microorganisms.

Addressing whole-body dysbiosis may involve lifestyle changes, dietary adjustments, and microbial modulation, although the effectiveness of these interventions in humans is still being researched.

Characteristics of the human microbiome
  • Microbial communities inhabiting our body are known as the human microbiota and are found in the skin, oral cavity, conjunctiva, respiratory tract, genitourinary (GU), and gastrointestinal (GI) tracts.
  • The microbiota in different body surfaces has the ability to repel pathogens, a property known as colonization resistance.
  • The microbiome is composed of the microbiota, its genes, and its products, including microbial structural products and metabolites. It is the second genome of our body.
  • The composition of the microbiome is host-specific and changes throughout an individual’s lifetime. It varies with individual genotype, environment, and diet - the most important contributor to microbiota balance.
  • The microbiota plays a crucial role in energy extraction from nutrients through unique enzyme and biochemical pathways.
  • Gut microbiota synthesize vitamins K, B12, biotin,andfolate.
  • Toxin exposure, including that from increased urbanization, can adversely affect microbiota balance. Air pollutants like carbon monoxide (CO), nitrogen dioxide (NO2) from vehicle exhaust and industrial wastes can play a role. Cigarette smoking is toxic and can affect the microbiota both in the gut and lungs.

In eubiosis, indicative of a balanced microbial ecosystem, there is a preponderance of beneficial bacteria (Phyla Firmicutes and Bacteroidetes) over pathogenic bacteria (Phylum Proteobacteria). Dysbiosis can result when there is a microbial imbalance or compositional change, and pathogenic bacteria override beneficial bacteria, potentially causing disease.

Factors contributing to dysbiosis include
  • Inappropriate use of antibiotics
  • Other medications, including proton pump inhibitors, metformin, psychotropics, anti-depressants, statins, opioids, and NSAIDs
  • Excess alcohol intake
  • Increased intake of sugar or protein
  • Frequent antiacid use
  • Exposure to pesticides, including unwashed [non-organic] fruits and vegetables
  • Chronic stress and anxiety, which weaken the immune system
  • Poor dental hygiene

Most patients with dysbiosis present with

  • Gastrointestinal symptoms like halitosis or bad breath, frequent flatus, bloating, food intolerances, food sensitivity, abdominal cramping, diarrhea, and/or mucus in the stool.
  • Other symptoms include vaginal or rectal itching, skin conditions, fatigue, mood symptoms like depression or anxiety, and problems with memory.
  • These symptoms depend on the system impacted by dysbiosis. 
Dysbiosis Timeline

Under conditions of dysbiosis, there can be a reduction of protective bacteria with a switch to more abundant pathogenic and cancer-promoting bacteria, which can include Streptococcus bovis, Sulfidogenic bacteria, Fusobacterium nucleatum, Bacteroides fragilis, Clostridium septicum, Escherichia coli, Helicobacter pylori, Enterococcus faecalis, Human papilloma virus, John Cunnigham virus, and Epstein Barr virus.

Whole-body dysbiosis could be a risk factor for many diseases. The first human microbiome is inherited at birth and is highly stable, whereas the acquired microbiome after birth depends on environmental factors. Some studies have linked dysbiosis to being born via C-section and being formula-fed from birth.

 

Dynamic changes of microbiome over the lifespan

 

Whole-body dysbiosis can be classified into gut microbial dysbiosis, including oral dysbiosis and non-gut microbial dysbiosis

Gut vs. non-gut dysbiosis

Organ system

Associated diseases with an element of dysbiosis

Gut

Cardiovascular

Hypertension
Dyslipidemia
Atherosclerosis
Atrial fibrillation
Endocarditis

Non-gut

Respiratory

Asthma
COPD
Cystic fibrosis
Pneumonia

Gut

Gastrointestinal

Irritable bowel disease
Irritable bowel syndrome
Gastroenteritis
Non-alcoholic fatty liver disease
Cirrhosis

Non-gut

Genitourinary

Chronic kidney disease
Bacterial vaginosis
Pelvic inflammatory disease

Non-gut

Central nervous systems

Meningitis
Stroke/Cerebrovascular accident
Parkinson’s disease

Gut

Psychiatric conditions

Dementia
Depression
Anxiety
Bipolar disorder
Schizophrenia

Gut/Non-gut

Oncological conditions

Gynecological cancers
Colorectal cancer
Skin cancers

Gut

Autoimmune diseases

Rheumatoid arthritis
Systemic sclerosis
Sjogren’s syndrome
Antiphospholipid syndrome

Non-gut

Skin

Eczema
Psoriasis
Dermatitis

Gut

Endocrine or metabolic

Diabetes mellitus type 1
Diabetes mellitus type 2
Obesity

Various extraintestinal organs play a role in the physiological function of the gut microbiome. Gut and non-gut dysbiosis communicate through different axes in a bidirectional manner. This highlights the concept of the gut–organ axis.

Oral dysbiosis

  • Dysbiosis of the oral microbiome is commonly seen with gingivitis, periodontitis, dental caries, and oral candidiasis and is associated with systemic diseases.

Lung dysbiosis, including ear, nose, and throat tract dysbiosis

  • Lung dysbiosis occurs with asthma, chronic obstructive pulmonary disease (COPD), idiopathic pulmonary fibrosis, and lung cancers through the gut-lung axis.
  • Cigarette smoking can affect the microbiota both in the gut and lungs

Skin dysbiosis, including conjunctival and eye dysbiosis

  • Skin dysbiosis occurs through the skin-gut axis, which can be affected by diet. Western diet (high in fat, sugar, salt, and processed food ingredients) has been associated with psoriasis and atopic dermatitis.
  • In addition to probiotics, prebiotics can also help with skin conditions.
  • Metabolites produced by probiotics (also known as postbiotics), like sodium butyrate, are used to treat psoriasis, which is a proliferative skin disease.
  • Other postbiotics, like short-chain fatty acids (SCFA), produce anti-inflammatory activities in various skin disorders. Through the gut-skin axis, gut dysbiosis is associated with skin conditions such as atopic dermatitis, psoriasis, acne, and rosacea.

Genitourinary dysbiosis

Urinary microbiome dysbiosis is associated with interstitial cystitis, urinary tract infection (UTI), bladder pain syndrome and different types of urinary incontinence.

Diagnostic tests for dysbiosis

Test

Description

Stool test

This test can help determine the overall balance of bacteria and the presence of yeast. The use of polymerase chain reaction (PCR) can determine the ratio of Firmicutes to Bacteroidetes, along with the presence of Lactobacillus and Bifidobacterium.

A comprehensive digestive stool analysis (CDSA) includes analysis of different microbiota such a lactobacilli, bifidobacteria, E. coli, Proteus, Pseudomonas, Salmonella, Shigella, Vibrio, yeast, and microbiome analysis including sequencing technologies, dysbiosis indexes, metagenomics, metatranscriptomics as well as assessment of microbial metabolites like Short Chain Fatty Acids

Diversity of the microbiota (dysbiosis indexes)

These indexes help to determine intestinal microbial communities. Often alpha and beta diversity assessments are commonly used and should be interpreted based on the context of clinical findings. Alpha-diversity was calculated using the Shannon index depending on the gene and species profile.

Urine test

Look for microbial metabolites in the urine using Nuclear magnetic resonance (NMR).

Intestinal permeability assessment or mannitol-lactulose intestinal permeability test

This test can explore intestinal permeability and dysbiosis and suggest leaky gut syndrome. An individual can will consume the sugars mannitol and lactulose, if there is permeability in the gut, these guts will be detected in the urine at elevated levels.

Hydrogen or methane breath test

A baseline breath gas measurement is first done and followed by the patient ingesting a standardized substrate solution (typically lactulose) that is indigestible by humans but easily digestible by bacteria. Next, the individual's breath is measured every 20 min to assess the amount of hydrogen and methane. These readings will determine the degree of microbial fermentation within the upper GI tract. A positive indication of dysbiosis is confirmed with rapid and steady rises of the hydrogen and methane readings. Repetition of this test can be used to gauge the treatment progress of a leaky gut.

Large-scale bacterial marker profiling

This identification method used various specific markers on species/bacteria taxa. One example is the use of 54 probes that target the 16S rRNA gene at different bacterial taxonomic levels (covering Firmicutes, Proteobacteria, Bacteroidetes, Actinobacteria, Tenericutes, and Verrucomicrobia). This is known as the GA-Map dysbiosis test. When classifying a sample, it is compared to a reference population, a score of 1 to 5 is used, where a recording of greater than 2 is considered dysbiosis. It can also look at targeted species and give a score of −3 to 3 where negative values suggest a reduced abundance and positive values suggest increased abundance.

Relevant taxon-based methods

Other types of dysbiosis indexes have been developed to look at specific taxa and with the goal of being more simplistic and easily interpreted. These indexes are calculated based on ratios between abundance.

Neighborhood classification

This technique measures the microbial dysbiosis in an individual compared to a healthy control. This is determined by quantifying the deviation a specific sample is from a reference sample set using dissimilarity matrices.

Random forest prediction

Through the use of a machine learning, algorithm random forest and a generated dysbiosis index based on operational taxonomic units examining abundances normalized by GMPR (geometric mean of pairwise ratios). It uses a range from 0 to 1, where values approaching 1 suggest a high likelihood that the gut microbiota is from a symptomatic individual (often used in small intestine overgrowth (SIBO) patients).

Combined alpha and beta diversity

This method is most commonly used in sequencing-based microbiota studies that provide a general description of microbial communities. Alpha is use to describe the number of unique taxa (richness) and their distribution (evenness) within a community and is often considered a biomarker of health. Beta is used to assess difference in community composition between individuals, or can be applied when assessing patients versus healthy controls. There is a combined method described as a dysbiosis index that uses a range of 0–5, where values greater than 1 suggest dysbiosis.

Oral carnitine challenge test

This test was designed to help determine and apply personalized nutrition to an individual based on the function of their gut microbiome. This method considers the gut microbiome as a “bioreactor” and it is provided inputs in the form of fermentable materials and the outputs (microbial byproducts) are measured either in the blood or urine. This test can also be used to measure metabolites from microbial fermentation.

Gut dysbiosis biomarkers

There are certain biomarkers that may give an indication of gut dysbiosis. Certain gut microorganisms are able to release urolithins (anti-inflammatory metabolites) when exposed to dietary polyphenols. These metabolites may serve as biomarkers of gut microbiota composition and functionality (159). Other biomarkers that have been studied for metabolite profiling and diagnosing dysbiosis include, trimethylamine-N-oxide, short-chain fatty acids, 3-indoxyl sulfate, p-cresyl sulfate, secondary bile acids, hippurate, human β-defensin-2, chromogranin A, secreted immunoglobulins and zonulin.

Dysbiosis indexes

Dysbiosis can be determined and quantify by relevant taxon-based methods, bacterial marker profiling, alpha and beta diversity. At this time, these indexes may be used as a diagnostic marker of dysbiosis, but are not predictors of a disease or disease process.

Management strategies for dysbiosis

Classification

Method

Mechanisms of action

Direct repopulation

Fecal microbiota transplant

A method of directly repopulating the gastrointestinal tract with beneficial bacteria

Gut biotics

Probiotics

Live microorganisms that can provide health benefits and are designed to restore the beneficial bacteria of the gut

Prebiotics

Compounds found in food designed to promote the growth of beneficial microorganisms of the human gut

Synbiotics

Refers to food or dietary supplements that consist of both probiotics and prebiotics

Diet/Food modifications

Fermented foods

Fermented foods may play a role in health benefit through the nutritive alteration of the ingredients, modulation of the immune system, and the presence of bioactive compounds. By modulating the gut microbiota composition and activity they can affect intestinal and systemic function. Ingestion may help intestinal barrier function along with the production of metabolites inhibiting the uptake of pathogens

 

Fiber rich foods

High-fiber diets have the ability to positively alter the microbial intestinal composition by promoting the growth of more beneficial bacteria, such as Prevotella and Bacteroides, while shifting away from Firmicutes. Dietary fiber can also selectively increase SCFAs producing bacterium abundance.

 

Mediterranean diet

This diet is generally described as having a greater focus on minimally processed fruits and vegetables with the inclusion of pulses (e.g., Chickpeas, lentils), nuts, seeds, and fish in relative abundance. The diet itself has also been associated with improvement in microbiome composition and diversity which can lead to lower risk of gut dysbiosis.

 

Ketogenic diet

This diet focused on a considerable limitation of carbohydrate sources to promote ketone body production. These ketones bodies may lead to an impact on energy metabolism and impact on the microbiome influencing bacteria taxa, richness and diversity.

Microbial by-products

Metabolite treatment

The byproducts of the gut microbiome or even probiotics are highly bioactive and are sometimes called “postbiotics”. Some common metabolites are SCFAs, which are a fuel source for colonocytes and can help maintain the gut barrier and inhibit pathogenic microorganism proliferation due to acidic pH condition. Specific SCFAs, such as resveratrol, a phytoalexin, can decrease plasma TMAO (which is a risk factor for CVD).

Optimal Takeaways

  • The human microbiome is crucial to overall health and affects several organs.
  • Dysbiosis, an imbalance in the gut and non-gut microbiome, is considered a medical condition that can lead to various health issues, from irritable bowel syndrome and inflammatory bowel disease to oral gingivitis and cardiovascular disease.
  • Medications and medical treatments can impact the microbiome, sometimes contributing to dysbiosis.
  • Diet and lifestyle changes are key therapeutic approaches to improve dysbiosis.
  • Adopting a Mediterranean diet and avoiding ultra-processed foods can positively alter the gut microbiome's composition and function.
  • Diagnosing dysbiosis involves tests such as urine tests, hydrogen breath tests, stool analysis, intestinal permeability tests, microbiome diversity tests, and measuring SCFA levels.

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Reference

Alagiakrishnan K, Morgadinho J, Halverson T. Approach to the diagnosis and management of dysbiosis. Front Nutr. 2024 Apr 19;11:1330903. doi: 10.3389/fnut.2024.1330903. PMID: 38706561; PMCID: PMC11069313. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY).

 

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Tag(s): Conditions

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