Dataset Information

Ileal proteome reprogramming during superimposed trematode infection

ABSTRACT: We investigated how repeated intestinal worm infections affect the cells lining the small intestine in mice. Infections with intestinal trematodes can disrupt the normal balance of the gut, leading to tissue damage and altered metabolism. Using a proteomics approach, we measured changes in thousands of proteins in intestinal epithelial cells during a first infection and after a second, repeated infection. We found that the first infection caused stress in the cells, impaired oxygen use, and reduced the activity of pathways that normally help repair tissue. In contrast, the repeated infection triggered a coordinated response that restored many cellular functions. Cells increased protein activity related to fat metabolism, tissue structure, barrier integrity, and antimicrobial defense. We also observed evidence that the immune signaling molecule interleukin-25 plays a central role in coordinating these protective and repair processes. These results suggest that the gut epithelium can adapt to repeated infections by reorganizing its metabolic and structural functions, which may help limit tissue damage and promote partial resistance to parasites. Our study provides a detailed map of the molecular changes that underlie this adaptation, improving our understanding of how the intestinal lining responds to repeated worm infections

INSTRUMENT(S):

ORGANISM(S): Mus Musculus (mouse)

TISSUE(S): Small Intestine

SUBMITTER: Luz Valero

LAB HEAD: Rafael Toledo

PROVIDER: PXD076260 | Pride | 2026-07-29

REPOSITORIES: Pride

ACCESS DATA

Dataset's files

Source:

Items per page:

1 - 5 of 37

Similar Datasets

Project description:Due to the severity of CMV infection and the high number of deaths associated to this pathogen, the American Institute of Medicine proposed the development of a vaccine as a priority. Numerous attempts have been made to develop vaccines against CMV however, the complex interaction between CMV and the immune system and the absence of an animal model able to reproduce human physiology associated to CMV infection have hindered the development of a vaccine. Based on the long history of unsuccessful trials, it is necessary to keep looking for new CMV antigens that can contribute to induce a wide immune response. We designed a proteomic approach to find, select and characterize CMV antigens that induce a CMV-specific immune response, using serum samples from patients that have developed a protective CMV-specific response after transplantation. Serum samples from 28 kidney transplant recipients that exhibit a high neutralizing antibody response and CMV-specific immune response collected at the University Hospital 12 Octubre in Spain were tested. One sample was collected at transplantation with no or low antibody titers (baseline) and the second sample (post-immunization) after acquiring high neutralizing antibody titers (>1/640). Using serum samples from immunized patients as primary antibody, we detected by western blot CMV antigens that were specifically recognized by the post-immunization serum compared with the baseline serum. Excised proteins were further characterized and identified using liquid chromatography coupled with tandem mass spectrometry. To prove the recognition of the identified protein, the open reading frames were cloned and individually expressed in HEK 293T cells and further detected by western blot using serum samples. To characterize the in vivo immune response elicited against UL44, groups of mice were immunized using the pcDNA-UL44 construct and PBS control. We identified and validated three proteins (UL83, UL55 and UL44). Proteins UL83 (pp65) and UL55 (gB) have previously shown to elicit a potent antibody response, while UL44 was newly identified to elicit a neutralizing antibody immune response. In conclusion, we demonstrate that using serum of immunized patients is an excellent strategy to identify CMV proteins that may be involved on stimulating a wide and protective CMV-specific immunity.

			Action	DRS
	220210_CM_L1.wiff	Wiff
	220210_CM_L1.wiff.scan	Wiff
	220210_CM_L2.wiff	Wiff
	220210_CM_L2.wiff.scan	Wiff
	220210_CM_L3.wiff	Wiff

Dataset Information

Ileal proteome reprogramming during superimposed trematode infection

Dataset's files

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets