Unraveling dynamic transcriptomic changes in sheep's lactating mammary gland following Escherichia coli lipopolysaccharide exposure.

Mammary gland infections constitute a significant challenge in dairy sheep, affecting productivity and welfare. Temporal RNA sequencing (RNA-Seq) provide a valuable approach to evaluate the evolution of the host defensive molecular mechanisms triggered by mastitis caused by external agents or events. This study aimed to characterize the transcriptomic response of sheep mammary glands to an intramammary inflammation induced with an Escherichia coli LPS inoculation based on RNA-Seq samples generated from milk somatic cells collected at 3 time points: pre-inoculation (0 h), and 6 h and 24 h post-LPS inoculation.

Impact on Fatality Rates and Years of Life Lost During the COVID-19 Pandemic: The Experience of the Mexican Public Health Incident Management Command.

Background: The SARS-CoV-2 pandemic challenged health systems worldwide. In Mexico, the Public Health Incident Management Command (COISS) strategy was implemented to improve health care for patients with COVID-19 who required hospitalization.

Aim: To evaluate the impact of the COISS strategy on case fatality rates (CFR) and years of life lost (YLL) in hospitalized patients with COVID-19.

Milk transcriptome biomarker identification to enhance feed efficiency and reduce nutritional costs in dairy ewes.

In recent years, rising prices for high-quality protein-based feeds have significantly increased nutrition costs. Consequently, investigating strategies to reduce these expenses and improve feed efficiency (FE) have become increasingly important for the dairy sheep industry. This research investigates the impact of nutritional protein restriction (NPR) during prepuberty and FE on the milk transcriptome of dairy Assaf ewes (sampled during the first lactation).

A meta-analysis approach for annotation and identification of lncRNAs controlling perirenal fat deposition in suckling lambs.

Long non-coding RNAs (lncRNAs) are being studied in farm animals due to their association with traits of economic interest, such as fat deposition. Based on the analysis of perirenal fat transcriptomes, this research explored the relevance of these regulatory elements to fat deposition in suckling lambs. To that end, meta-analysis techniques have been implemented to efficiently characterize and detect differentially expressed transcripts from two different RNA-seq datasets, one including samples of two sheep breeds that differ in fat deposition features, Churra and Assaf ( = 14), and one generated from Assaf suckling lambs with different fat deposition levels ( = 8).