The review summarizes experimental and clinical data about the influence of Lactobacillus on the immune system. A conclusion is made that the effect of Lactobacillus is a multifactor process. After entering the intestinal tract live microorganisms or biologically active substances produced by them may activate specific and nonspecific systems of microorganism protection. Experimental and clinical data about the action of Lactobacillus as adjuvants to the humoral immune response are presented. The mechanisms of anticancerogenic action of Lactobacillus and their cell wall components are analyzed in detail. The prospects for the use of Lactobacillus as probiotics in medicine are considered. The conclusion about positive value of the multifactor action of these microorganisms on the human immune system is made, since no negative effects are evoked by the discussed mechanisms of specific effect of Lactobacillus. This opens wide possibilities for the development of application schemes of probiotics from lactobacillus for the stimulation of several functions of the immune system, creation a new forms of antitumor drugs and combination of them with oral vaccines for improving their immunogenicity.

Download full-text PDF

Source

Publication Analysis

Top Keywords

immune system
16
experimental clinical
8
clinical data
8
action lactobacillus
8
lactobacillus
7
immune
5
[the current
4
current concepts
4
concepts influence
4
influence lactobacilli
4

Similar Publications

Inflammatory responses and lipid metabolism disorders are key components in the development of coronary artery disease and contribute to no-reflow after coronary intervention. This study aimed to investigate the association between the neutrophil to high-density lipoprotein ratio (NHR) and no-reflow phenomenon in ST-segment elevation myocardial infarction (STEMI) patients after primary percutaneous coronary intervention (PPCI). This study enrolled 288 patients with STEMI from September 1st, 2022 to February 29th, 2024, in the Zhengzhou Central Hospital Affiliated to Zhengzhou University.

View Article and Find Full Text PDF

T-helper 17 (Th17) cells significantly influence the onset and advancement of malignancies. This study endeavor focused on delineating molecular classifications and developing a prognostic signature grounded in Th17 cell differentiation-related genes (TCDRGs) using machine learning algorithms in head and neck squamous cell carcinoma (HNSCC). A consensus clustering approach was applied to The Cancer Genome Atlas-HNSCC cohort based on TCDRGs, followed by an examination of differential gene expression using the limma package.

View Article and Find Full Text PDF

Background: Sepsis, a critical global health challenge, accounted for approximately 20% of worldwide deaths in 2017. Although the Sequential Organ Failure Assessment (SOFA) score standardizes the diagnosis of organ dysfunction, early sepsis detection remains challenging due to its insidious symptoms. Current diagnostic methods, including clinical assessments and laboratory tests, frequently lack the speed and specificity needed for timely intervention, particularly in vulnerable populations such as older adults, intensive care unit (ICU) patients, and those with compromised immune systems.

View Article and Find Full Text PDF

Metabolic abnormalities associated with liver disease have a significant impact on the risk and prognosis of cholecystitis. However, the underlying mechanism remains to be elucidated. Here, we investigated this issue using Wilson's disease (WD) as a model, which is a genetic disorder characterized by impaired mitochondrial function and copper metabolism.

View Article and Find Full Text PDF

Since the precursor frequency of naive T cells is extremely low, investigating the early steps of antigen-specific T cell activation is challenging. To overcome this detection problem, adoptive transfer of a cohort of T cells purified from T cell receptor (TCR) transgenic donors has been extensively used but is not readily available for emerging pathogens. Constructing TCR transgenic mice from T cell hybridomas is a labor-intensive and sometimes erratic process, since the best clones are selected based on antigen-induced CD69 upregulation or IL-2 production in vitro, and TCR chains are polymerase chain reaction (PCR)-cloned into expression vectors.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!