Asunto(s)
Antineoplásicos/farmacología , Resistencia a Antineoplásicos/efectos de los fármacos , Mieloma Múltiple/patología , Naftiridinas/farmacología , Células Madre Neoplásicas/efectos de los fármacos , Células Plasmáticas/efectos de los fármacos , Inhibidores de Proteínas Quinasas/farmacología , Proteínas Serina-Treonina Quinasas/antagonistas & inhibidores , Antineoplásicos/uso terapéutico , Células de la Médula Ósea/efectos de los fármacos , Células de la Médula Ósea/patología , Células Cultivadas , Relación Dosis-Respuesta a Droga , Ensayos de Selección de Medicamentos Antitumorales , Humanos , Mieloma Múltiple/tratamiento farmacológico , Naftiridinas/uso terapéutico , Células Madre Neoplásicas/patología , Células Plasmáticas/patología , Inhibidores de Proteínas Quinasas/uso terapéutico , Microambiente Tumoral/efectos de los fármacosRESUMEN
BACKGROUND: The role of the fungal microbiota in digestive diseases is poorly defined, but is becoming better understood due to advances in metagenomics. AIM: To review the gastrointestinal fungal microbiota and its relationship with digestive diseases. METHODS: Search of the literature using PubMed and MEDLINE databases. Subject headings including 'fungal-bacterial interactions', 'mycotoxins', 'immunity to fungi', 'fungal infection', 'fungal microbiota', 'mycobiome' and 'digestive diseases' were used. RESULTS: The fungal microbiota is an integral part of the gastrointestinal microecosystem with up to 10(6) microorganisms per gram of faeces. Next-generation sequencing of the fungal 18S rRNA gene has allowed better characterisation of the gastrointestinal mycobiome. Numerous interactions between fungi and bacteria and the complex immune response to gastrointestinal commensal or pathogenic fungi all impact on the pathophysiology of inflammatory bowel disease and other gastrointestinal inflammatory entities such as peptic ulcers. Mycotoxins generated as fungal metabolites contribute to disturbances of gastrointestinal barrier and immune functions and are associated with chronic intestinal inflammatory conditions as well as hepatocellular and oesophagogastric cancer. Systemic and gastrointestinal disease can also lead to secondary fungal infections. Fungal genomic databases and methodologies need to be further developed and will allow a much better understanding of the diversity and function of the mycobiome in gastrointestinal inflammation, tumourigenesis, liver cirrhosis and transplantation, and its alteration as a consequence of antibiotic therapy and chemotherapy. CONCLUSIONS: The fungal microbiota and its metabolites impact gastrointestinal function and contribute to the pathogenesis of digestive diseases. Further metagenomic analyses of the gastrointestinal mycobiome in health and disease is needed.
Asunto(s)
Enfermedades Gastrointestinales/microbiología , Inflamación/microbiología , Enfermedades Inflamatorias del Intestino/microbiología , Bacterias/aislamiento & purificación , Heces/microbiología , Hongos/aislamiento & purificación , Enfermedades Gastrointestinales/fisiopatología , Humanos , Inflamación/fisiopatología , Enfermedades Inflamatorias del Intestino/fisiopatología , MicrobiotaRESUMEN
In an effort to develop a molecular classification scheme for Crohn's disease (CD), mucosal biopsies from 69 CD patients and 28 normal controls were analyzed for expression of the RelA subunit of nuclear factor (NF)-kappaB, A20 (a negative regulator of NF-kappaB), polymeric immunoglobulin receptor (pIgR), tumor necrosis factor (TNF), and interleukin (IL)-8. Principal component analysis was used to classify individuals into three subsets based on patterns of biomarker expression. Set 1 included normal subjects and CD patients with mild disease and good responses to therapy, thus defining "normal" biomarker expression. CD patients in set 2, characterized by low expression of all five biomarkers, had moderate to severe disease and poor responses to immunosuppressive and anti-TNF therapy. Patients in set 3, characterized by low expression of RelA, A20, and pIgR, normal TNF and elevated IL-8, had acute inflammation that responded well to therapy. Classification of CD patients by these biomarkers may predict disease behavior and responses to therapy.