BACKGROUND: The microbiome alterations are associated with cancer growth and may influence the immune system and response to therapy. Particularly, the gut microbiome has been recently shown to modulate response to melanoma immunotherapy. However, the role of the skin microbiome has not been well explored in the skin tumour microenvironment and the link between the gut microbiome and skin microbiome has not been investigated in melanoma progression. Therefore, the aim of the present study was to examine associations between dysbiosis in the skin and gut microbiome and the melanoma growth using MeLiM porcine model of melanoma progression and spontaneous regression. RESULTS: Parallel analysis of cutaneous microbiota and faecal microbiota of the same individuals was performed in 8 to 12 weeks old MeLiM piglets. The bacterial composition of samples was analysed by high throughput sequencing of the V4-V5 region of the 16S rRNA gene. A significant difference in microbiome diversity and richness between melanoma tissue and healthy skin and between the faecal microbiome of MeLiM piglets and control piglets were observed. Both Principal Coordinate Analysis and Non-metric multidimensional scaling revealed dissimilarities between different bacterial communities. Linear discriminant analysis effect size at the genus level determined different potential biomarkers in multiple bacterial communities. Lactobacillus, Clostridium sensu stricto 1 and Corynebacterium 1 were the most discriminately higher genera in the healthy skin microbiome, while Fusobacterium, Trueperella, Staphylococcus, Streptococcus and Bacteroides were discriminately abundant in melanoma tissue microbiome. Bacteroides, Fusobacterium and Escherichia-Shigella were associated with the faecal microbiota of MeLiM piglets. Potential functional pathways analysis based on the KEGG database indicated significant differences in the predicted profile metabolisms between the healthy skin microbiome and melanoma tissue microbiome. The faecal microbiome of MeLiM piglets was enriched by genes related to membrane transports pathways allowing for the increase of intestinal permeability and alteration of the intestinal mucosal barrier. CONCLUSION: The associations between melanoma progression and dysbiosis in the skin microbiome as well as dysbiosis in the gut microbiome were identified. Results provide promising information for further studies on the local skin and gut microbiome involvement in melanoma progression and may support the development of new therapeutic approaches.
- MeSH
- Bacteria genetics MeSH
- Dysbiosis microbiology MeSH
- Feces microbiology MeSH
- Fusobacterium MeSH
- Melanoma * MeSH
- Microbiota * MeSH
- Tumor Microenvironment MeSH
- Swine MeSH
- RNA, Ribosomal, 16S genetics MeSH
- Gastrointestinal Microbiome * genetics MeSH
- Animals MeSH
- Check Tag
- Animals MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
BACKGROUND: Microbiota refers to the population of microorganisms (bacteria, viruses and fungi) that inhabit the entire gastrointestinal tract, more particularly the colon whose role is to maintain the integrity of the intestinal mucosa and control the proliferation of pathogenic bacteria. Alteration in the composition of the gut microbiota is called dysbiosis. Dysbiosis redisposes to inflammatory bowel diseases such as ulcerative colitis, Crohn disease and indeterminate colitis. METHODS: The purpose of this literature review is to elucidate the influence of diet on the composition of the gastrointestinal microbiota in the healthy gut and the role of diet in the development of dysbiosis. CONCLUSION: The "Western diet", in particular a low - fiber high fat/high carbohydrate diet is one factor that can lead to severe dysbiosis. In contrast, "mediterranean" and vegetarian diets that includes abundant fruits, vegetables, olive oil and oily fish are known for their anti-inflammatory effects and could prevent dysbiosis and subsequent inflammatory bowel disease.
Due to its aggressive nature and low survival rate, esophageal cancer is one of the deadliest cancer. While the intestinal microbiome significantly influences human health and disease. This research aimed to investigate and characterize the relative abundance of intestinal bacterial composition in esophageal cancer patients. The fecal samples were collected from esophageal cancer patients (n = 15) and healthy volunteers (n = 10). The PCR-DGGE was carried out by focusing on the V3 region of the 16S rRNA gene, and qPCR was performed for Bacteroides vulgatus, Escherichia coli, Bifidobacterium, Clostridium leptum and Lactobacillus. High-throughput sequencing of the 16S rRNA gene targeting the V3+V4 region was performed on 20 randomly selected samples. PCR-DGGE and High-throughput diversity results showed a significant alteration of gut bacterial composition between the experimental and control groups, which indicates the gut microbial dysbiosis in esophageal cancer patients. At the phylum level, there was significant enrichment of Bacteroidetes, while a non-significant decrease of Firmicutes in the experimental group. At family statistics, a significantly higher level of Bacteroidaceae and Enterobacteriaceae, while a significantly lower abundance of Prevotellaceae and Veillonellaceae were observed. There was a significantly high prevalence of genera Bacteroides, Escherichia-Shigella, while a significantly lower abundance of Prevotella_9 and Dialister in the experimental group as compared to the control group. Furthermore, the species analysis also showed significantly raised level of Bacteroides vulgatus and Escherichia coli in the experimental group. These findings revealed a significant gut microbial dysbiosis in esophageal cancer patients. So, the current study can be used for the understanding of esophageal cancer treatment, disease pathway, mechanism, and probiotic development.
- MeSH
- Adult MeSH
- Gastrointestinal Neoplasms * microbiology MeSH
- Gastrointestinal Tract microbiology MeSH
- Clinical Studies as Topic MeSH
- Middle Aged MeSH
- Humans MeSH
- Gastrointestinal Microbiome * MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Female MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
Meat-diet-induced changes in gut microbiota are often accompanied with the development of various metabolic and inflammatory disorders. The exact biochemical mechanism underlying these effects is not well elucidated. This study aims to evaluate how meat proteins in high-fat diets affect tryptophan metabolism in rats. The high-chicken-protein (HFHCH) or high-pork-protein (HFHP) diets increased levels of skatole and indole in cecal and colonic contents, feces, and subcutaneous adipose tissue. The HFHCH and HFHP diets also increased the abundance of Lactobacillus, the Family XIII AD3011 group, and Desulfovibrio in the cecum and colon, which may be involved in the production of skatole and indole. Additionally, high-meat-protein diets induced lower activity of skatole- and indole-metabolizing enzyme CYP2E1 in liver compared with low-meat-protein diets. This work highlights the negative impact of high meat proteins on physiological responses by inducing dysbiosis of gut microbiota and tryptophan metabolism.
- MeSH
- Bacteria classification genetics isolation & purification MeSH
- Cecum metabolism microbiology MeSH
- Diet, High-Fat adverse effects MeSH
- Dietary Proteins adverse effects metabolism MeSH
- Dysbiosis etiology metabolism microbiology MeSH
- Rats MeSH
- Humans MeSH
- Meat Proteins metabolism MeSH
- Rats, Wistar MeSH
- Gastrointestinal Microbiome * MeSH
- Tryptophan metabolism MeSH
- Animals MeSH
- Check Tag
- Rats MeSH
- Humans MeSH
- Male MeSH
- Animals MeSH
- Publication type
- Journal Article MeSH
The unique functionality of Akkermansia muciniphila in gut microbiota indicates it to be an indispensable microbe for human welfare. The importance of A. muciniphila lies in its potential to convert mucin into beneficial by-products, regulate intestinal homeostasis and maintain gut barrier integrity. It is also known to competitively inhibit other mucin-degrading bacteria and improve metabolic functions and immunity responses in the host. It finds a pivotal perspective in various diseases and their treatment. It has future as a promising probiotic, disease biomarker and therapeutic agent for chronic diseases. Disease-associated dysbiosis of A. muciniphila in the gut microbiome makes it a potential candidate as a biomarker for some diseases and can provide future theranostics by suggesting ways of diagnosis for the patients and best treatment method based on the screening results. Manipulation of A. muciniphila in gut microbiome may help in developing a novel personalized therapeutic action and can be a suitable next generation medicine. However, the actual pathway governing A. muciniphila interaction with hosts remains to be investigated. Also, due to the limited availability of products containing A. muciniphila, it is not exploited to its full potential. The present review aims at highlighting the potential of A. muciniphila in mucin degradation, contribution towards the gut health and host immunity and management of metabolic diseases such as obesity and type 2 diabetes, and respiratory diseases such as cystic fibrosis and COVID-19.
- MeSH
- COVID-19 * MeSH
- Diabetes Mellitus, Type 2 * MeSH
- Dysbiosis therapy MeSH
- Mucus MeSH
- Humans MeSH
- Mucins metabolism MeSH
- Gastrointestinal Microbiome * MeSH
- Verrucomicrobia metabolism MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
The novel coronavirus disease 2019 (COVID-19) pandemic outbreak caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2) has garnered unprecedented global attention. It caused over 2.47 million deaths through various syndromes such as acute respiratory distress, hypercoagulability, and multiple organ failure. The viral invasion proceeds through the ACE2 receptor, expressed in multiple cell types, and in some patients caused serious damage to tissues, organs, immune cells, and the microbes that colonize the gastrointestinal tract (GIT). Some patients who survived the SARS-CoV-2 infection have developed months of persistent long-COVID-19 symptoms or post-acute sequelae of COVID-19 (PASC). Diagnosis of these patients has revealed multiple biological effects, none of which are mutually exclusive. However, the severity of COVID-19 also depends on numerous comorbidities such as obesity, age, diabetes, and hypertension and care must be taken with respect to other multiple morbidities, such as host immunity. Gut microbiota in relation to SARS-CoV-2 immunopathology is considered to evolve COVID-19 progression via mechanisms of biochemical metabolism, exacerbation of inflammation, intestinal mucosal secretion, cytokine storm, and immunity regulation. Therefore, modulation of gut microbiome equilibrium through food supplements and probiotics remains a hot topic of current research and debate. In this review, we discuss the biological complications of the physio-pathological effects of COVID-19 infection, GIT immune response, and therapeutic pharmacological strategies. We also summarize the therapeutic targets of probiotics, their limitations, and the efficacy of preclinical and clinical drugs to effectively inhibit the spread of SARS-CoV-2.
- MeSH
- COVID-19 * immunology complications therapy MeSH
- Dysbiosis * MeSH
- COVID-19 Drug Treatment MeSH
- Gastrointestinal Tract microbiology MeSH
- Humans MeSH
- Post-Acute COVID-19 Syndrome MeSH
- Probiotics therapeutic use MeSH
- SARS-CoV-2 * immunology MeSH
- Gastrointestinal Microbiome * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
Fibromyalgia is a rheumatic syndrome and its pathogenesis is controversial. The recent literature has placed considerable attention on the link between alteration of the intestinal microbiota and fibromyalgia, emphasizing the close connection between the neuroenteric system and the CNS. This study aims to evaluate the probable relationship between intestinal dysbiosis and altered secretion of hormones and vitamins such as cortisol, serotonin, Vitamin D and thyroid hormones in a patient with fibromyalgia.
- MeSH
- Dysbiosis MeSH
- Fibromyalgia * microbiology pathology MeSH
- Hormones metabolism MeSH
- Humans MeSH
- Brain-Gut Axis MeSH
- Gastrointestinal Microbiome * MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
- Review MeSH
Výskum črevného mikrobiómu zaznamenal v poslednej dekáde vzostup záujmu v mnohých odvetviach medicíny. Naším hlavným cieľom je poukázať na schopnosť mikróbov širokospektrálne ovplyvniť funkcie ľudského organizmu, najmä imunitného systému, a naopak, objasniť zmeny zloženia črevného mikrobiómu v potransplantačnom období a ich funkciu na dlhodobé prežívanie štepu a pacienta v kontexte výskytu širokého spektra komplikácií. Transplantácia obličky s následným užívaním imunosupresív a antibiotík (ATB) do značnej miery ovplyvňuje kompozíciu črevného mikrobiómu. Následný vznik dysbiózy signifikantne zvyšuje riziko rozvoja akútnej rejekcie, intersticiálnej fibrózy a tubulárnej atrofie štepu (IF/TA – interstitial fibrosis and tubular atrophy), potransplantačnej hnačky, orgánových infekcií a metabolických komplikácií ako je potransplantačný diabetes mellitus. Dôležitý je tiež vplyv mikroorganizmov črevného mikrobiómu na metabolizmus imunosupresív s produkciou menej efektívnych komponentov, a následnou nutnosťou modifikácie ich hladín s vyšším rizikom poddávkovania a vzniku rejekcie štepu. Podpora zloženia črevného mikrobiómu v potransplantačnom období v prospech baktérií produkujúcich mastné kyseli‐ ny s krátkym reťazcom (SCFA – short chain fatty acids) je možná zmenou zloženia stravy s prevahou vlákniny, aplikáciou probiotík, prebiotík. Podľa dostupných štúdií môže viesť k benefitom v zmysle metabolickej kompenzácie, navodeniu donor‐špecifickej tolerancie a množstvo iných, s celkovým zlepšením kvality prežívania pacienta a štepu.
Gut microbiome research has been a surge of interest in many branches of medicine in the last decade. Our main aim is to show ability of microbes to infuence the functions of human body, especially in the immune system, and on the other hand to clarify changes in composition of gut microbiome in the post-transplantation period and their function for the long-term survival of the graft and the patient in the context of the occurrence of a wide range of complications. Kidney transplantation with the subsequent use of immunosuppressants and antibiotics affects the composition of gut microbiome. The subsequent development of dysbiosis significantly increases the risk of acute rejection, interstitial fibrosis and tubular atrophy of the graft, post-transplant diarrhoea, organ ́s infections and metabolic complications such as post-transplant diabetes mellitus. Also important is the influence of the microorganisms of the gut microbiome on metabolism of immunosuppressants with the production of less effective components and the subsequent necessity of modifying their levels with a higher risk of underdosing and the occurrence of graft rejection. Support of the composition of the gut microbiome in the post-transplantation period in favor of bacteria producing short chain fatty acids (SCFA) is possible by changing of diet with predominance of fiber, the application of probiotics, prebiotics. According to available studies, it can lead to benefits in term of metabolic compensation, to the induction of donor-specific tolerance and many others, with an overall improvement in the quality of patient and graft survival.
- MeSH
- Dysbiosis etiology pathology MeSH
- Immunosuppressive Agents adverse effects therapeutic use MeSH
- Humans MeSH
- Probiotics pharmacology classification therapeutic use MeSH
- Risk MeSH
- Gastrointestinal Microbiome * physiology immunology drug effects MeSH
- Kidney Transplantation * adverse effects MeSH
- Check Tag
- Humans MeSH
- Publication type
- Review MeSH
Východiska: Incidence karcinomu pankreatu (pancreatic ductal adenocarcinoma – PDAC) má zejména v rozvinutých zemích zvyšující se tendenci. V roce 2021 bylo celosvětově diagnostikováno 496 000 nových případů PDAC. Incidence v ČR je jedna z nejvyšších na světě a za rok 2018 bylo zachyceno 2 332 nových pacientů. Vzhledem k absenci symptomů v časných stadiích je přibližně 50 % pacientů vstupně diagnostikováno se vzdálenými metastázemi. Mortalita je nepatrně nižší než incidence a navzdory výrazným pokrokům v onkologickém výzkumu zůstává PDAC stále fatální diagnózou. Zajímavým přístupem, a to nejen u PDAC, je studium mikrobiomu. Ten je definován jako soubor všech mikroorganizmů (mikrobiota, tedy bakterie, houby, viry archea a protozoa) a jejich genomu v určitém prostředí. Za fyziologických podmínek je střevní mikrobiom v symbióze s osídleným organizmem, a udržuje tak rovnováhu metabolizmu, slizniční imunomodulaci a reguluje proces trávení. Při dysregulaci počtu či funkce střevních mikroorganizmů nastává dysbióza. Ta pak vede ke vzniku metabolických a kardiovaskulárních chorob, k poruchám nervového systému, indukci zánětů střeva či kancerogenezi. Mikrobiota mohou indukovat kancerogenezi několika způsoby, a to zejména vyvoláním zánětlivé odpovědi, snížením schopnosti imunitního systému eliminovat poškozené buňky a v neposlední řadě mohou metabolity mikrobů vést k deregulaci genomu osídleného organizmu. Tato deregulace vede k aktivaci proapoptotických a proproliferativních proteinů. Dosavadní výzkum prokazuje, že na rozvoji PDAC se může podílet právě střevní či orální mikrobiom. Jednou z nejvíce studovaných bakterií je Porphyromonas gingivalis. I u dalších bakterií, jako jsou Fusobacteria, Enterobacter, Klebsiella, Prevotella či Rothia, byla prokázána role při vzniku PDAC. Cíl: Cílem tohoto přehledového článku je poukázat na jeden z možných mechanizmů vzniku PDAC. Ten by mohl být ovlivnitelný, což může znamenat snížení incidence a zlepšení prognózy tohoto agresivního onemocnění.
Background: The incidence of pancreatic cancer (pancreatic ductal adenocarcinoma – PDAC) is increasing, especially in developed countries. In 2021, 496,000 new PDAC cases were diagnosed worldwide. In the Czech Republic, the incidence is one of the highest in the world, with 2,332 new PDAC patients diagnosed in 2018. Due to the absence of symptoms in the early stages, approximately 50% of patients are initially diagnosed with distant metastases. Mortality is slightly lower than the incidence count and, despite significant advances in cancer research, PDAC remains a fatal diagnosis. However, microbiome seems to be an interesting approach, and not only in PDAC patients. Microbiome is defined as the set of all microorganisms (microbiota, i.e. bacteria, fungi, viruses, archaea, and protozoa) and their genome in a certain environment. In a physiological setting, the gut microbiome is in symbiosis with the host organism, maintaining the balance of metabolism, mucosal immunomodulation and regulating the digestion process. When dysregulation of the number or function of intestinal microorganisms occurs, dysbiosis is developed. It may lead to metabolic and cardiovascular diseases, nervous system disorders, induction of intestinal inflammation, or carcinogenesis. Microbiota can induce carcinogenesis in multiple ways, such as by activating an inflammatory response, reducing the immune system‘s ability to eliminate damaged cells, and deregulation of the host genome by microbial metabolites. This deregulation may lead to an activation of pro-apoptotic and pro-proliferative proteins. To date, research shows that the gut or oral microbiome may be involved in the development of PDAC. One of the most studied bacteria is Porphyromonas gingivalis. Other bacteria, such as Fusobacteria, Enterobacter, Klebsiella, Prevotella, and Rothia, have also been shown to play a role in PDAC. Purpose: The aim of this review article is to point out one of the possible mechanisms of cancerogenesis in PDAC patients and its therapeutic influence to reduce the incidence and improve the prognosis of this aggressive disease.
- MeSH
- Carcinoma, Pancreatic Ductal * diagnosis epidemiology etiology microbiology MeSH
- Dysbiosis complications microbiology pathology MeSH
- Carcinogenesis pathology MeSH
- Humans MeSH
- Microbiota * MeSH
- Risk Factors MeSH
- Gastrointestinal Microbiome genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Research Support, Non-U.S. Gov't MeSH
- Review MeSH