Spanish-Language Measures of Intimate Partner Violence: A Systematic Review of Psychometric Evidence and Translation Methodology.

Intimate partner violence (IPV) is prevalent worldwide, including in Latinx populations. Reported rates of IPV in Latinx populations vary widely, indicating that measurement errors may be impeding researchers' and clinicians' understanding of IPV in these populations. We conducted a systematic review across a range of social science databases to evaluate psychometric properties and translation methodologies of Spanish-language IPV measures. Records were included if they included Spanish measures assessing IPV victimization. We identified 91 records with a total of 70 measures and evaluated the measures' extant psychometric evidence using the COnsensus-based Standards for the selection of health Measurement Instruments. For the measures translated from English to Spanish, we evaluated the translation methodology based on best-practice recommendations for achieving translations that are psychometrically equivalent to their original versions. We found that validation information about measures was sparse and that few translations adhered to best-practice recommendations. Based on our a priori criteria we recommend the Plazaola-Castaño translation of the Index of Spouse Abuse. In closing, we discuss the validity evidence of translated measures independent of the original language version and best-practice recommendations in translating psychological measures.

Advancing evidence-based practice through the Knowledge Translation Challenge: Nurses' important roles in research, implementation science and practice change.

AIM: To describe a knowledge translation capacity-building initiative and illustrate the roles of nurses in practice change using an exemplar case study. DESIGN: The report uses observational methods and reflection. METHODS: The Knowledge Translation Challenge program involves a multi-component intervention across several sites. The advisory committee invited eligible teams to attend capacity-building workshops. Implementation plans were developed, and successful teams receive funding for a 2 year period. Evaluation involved collecting data on program uptake and impact on practice change. Data has been collected from five cohorts. The exemplar case study employed an action-research framework. RESULTS: Four nurse-led teams have demonstrated successful implementation of their practice change. The case study on implementing a clinical toolkit for clozapine management further illustrates a thoughtful planning process, and implementation journey and learnings by a team of nurses. CONCLUSION: The Knowledge Translation Challenge program empowers nurses to use implementation science practices to enhance the quality and effectiveness of healthcare services. Success of this initiative serves as a model for addressing the persistent gap between knowledge and practice in clinical settings and the value of activating nurses to help close this gap. IMPLICATIONS: As the most trusted and numerous profession, it is vital that nurses contribute to efforts to translate research evidence into clinical practice. The Knowledge Translation Challenge program supports nurses to lead practice change. IMPACT: The Knowledge Translation Challenge program successfully equips nurses and other health care providers with the knowledge, skills and resources to implement practice improvements which enhance the quality and effectiveness of healthcare services and nursing practice. PATIENT OR PUBLIC CONTRIBUTION: The Knowledge Translation Challenge advisory committee has three patient-public partners that support teams to develop a patient-oriented approach for their projects by providing feedback on the implementation plans. Each team was also supported to include patient-public partners on their project.

Understanding the Use of Mobility Data in Disasters: Exploratory Qualitative Study of COVID-19 User Feedback.

BACKGROUND: Human mobility data have been used as a potential novel data source to guide policies and response planning during the COVID-19 global pandemic. The COVID-19 Mobility Data Network (CMDN) facilitated the use of human mobility data around the world. Both researchers and policy makers assumed that mobility data would provide insights to help policy makers and response planners. However, evidence that human mobility data were operationally useful and provided added value for public health response planners remains largely unknown. OBJECTIVE: This exploratory study focuses on advancing the understanding of the use of human mobility data during the early phase of the COVID-19 pandemic. The study explored how researchers and practitioners around the world used these data in response planning and policy making, focusing on processing data and human factors enabling or hindering use of the data. METHODS: Our project was based on phenomenology and used an inductive approach to thematic analysis. Transcripts were open-coded to create the codebook that was then applied by 2 team members who blind-coded all transcripts. Consensus coding was used for coding discrepancies. RESULTS: Interviews were conducted with 45 individuals during the early period of the COVID-19 pandemic. Although some teams used mobility data for response planning, few were able to describe their uses in policy making, and there were no standardized ways that teams used mobility data. Mobility data played a larger role in providing situational awareness for government partners, helping to understand where people were moving in relation to the spread of COVID-19 variants and reactions to stay-at-home orders. Interviewees who felt they were more successful using mobility data often cited an individual who was able to answer general questions about mobility data; provide interactive feedback on results; and enable a 2-way communication exchange about data, meaning, value, and potential use. CONCLUSIONS: Human mobility data were used as a novel data source in the COVID-19 pandemic by a network of academic researchers and practitioners using privacy-preserving and anonymized mobility data. This study reflects the processes in analyzing and communicating human mobility data, as well as how these data were used in response planning and how the data were intended for use in policy making. The study reveals several valuable use cases. Ultimately, the role of a data translator was crucial in understanding the complexities of this novel data source. With this role, teams were able to adapt workflows, visualizations, and reports to align with end users and decision makers while communicating this information meaningfully to address the goals of responders and policy makers.

Enhancing endothelial colony-forming cells for treating diabetic vascular complications: challenges and clinical prospects.

Diabetes mellitus (DM) is a metabolic disease characterized by hyperglycemia, leading to various vascular complications. Accumulating evidence indicates that endothelial colony-forming cells (ECFCs) have attractive prospects for repairing and restoring blood vessels. Thus, ECFCs may be a novel therapeutic option for diabetic patients with vascular complications who require revascularization therapy. However, it has been reported that the function of ECFCs is impaired in DM, which poses challenges for the autologous transplantation of ECFCs. In this review, we summarize the molecular mechanisms that may be responsible for ECFC dysfunction and discuss potential strategies for improving the therapeutic efficacy of ECFCs derived from patients with DM. Finally, we discuss barriers to the use of ECFCs in human studies in light of the fact that there are no published reports using these cells in humans.

Individualized high-resolution analysis to categorize diverse learning and memory deficits in tau rTg4510 mice exposed to low-intensity blast.

Mild traumatic brain injury (mTBI) resulting from low-intensity blast (LIB) exposure in military and civilian individuals is linked to enduring behavioral and cognitive abnormalities. These injuries can serve as confounding risk factors for the development of neurodegenerative disorders, including Alzheimer's disease-related dementias (ADRD). Recent animal studies have demonstrated LIB-induced brain damage at the molecular and nanoscale levels. Nevertheless, the mechanisms linking these damages to cognitive abnormalities are unresolved. Challenges preventing the translation of preclinical studies into meaningful findings in "real-world clinics" encompass the heterogeneity observed between different species and strains, variable time durations of the tests, quantification of dosing effects and differing approaches to data analysis. Moreover, while behavioral tests in most pre-clinical studies are conducted at the group level, clinical tests are predominantly assessed on an individual basis. In this investigation, we advanced a high-resolution and sensitive method utilizing the CognitionWall test system and applying reversal learning data to the Boltzmann fitting curves. A flow chart was developed that enable categorizing individual mouse to different levels of learning deficits and patterns. In this study, rTg4510 mice, which represent a neuropathology model due to elevated levels of tau P301L, together with the non-carrier genotype were exposed to LIB. Results revealed distinct and intricate patterns of learning deficits and patterns within each group and in relation to blast exposure. With the current findings, it is possible to establish connections between mice with specific cognitive deficits to molecular changes. This approach can enhance the translational value of preclinical findings and also allow for future development of a precision clinical treatment plan for ameliorating neurologic damage of individuals with mTBI.

Discovery of A G-Quadruplex Unwinder That Unleashes the Translation of G-Quadruplex-Containing mRNA without Inducing DNA Damage.

To explore the mechanisms and therapeutic strategies for G-quadruplex (G4) mediated diseases, it is crucial to manipulate and intervene in intracellular G4 structures using small molecular tools. While hundreds of G4 stabilizers have been developed, there is a significant gap in the availability of G4 unwinding agents. Here, we propose a strategy to disrupt G-quadruplexes by forming G-C hydrogen bonds with chemically modified cytidine trimers. We validated a good G4 unwinder, the 2'-F cytidine trimer (2'-F C3). 2'-F C3 does not inhibit cell growth nor cause severe DNA damage at a concentration below 10 µM. Moreover, 2'-F C3 does not affect gene transcription nor RNA splicing, while it significantly enhances the translation of G4-containing mRNA and upregulates RNA splicing, RNA processing and cell cycle pathways. The discovery of this G4 unwinder provides a functional tool for the chemical modulation of G4s in living cells.

Cross-Cultural Adaptation and Psychometric Validation of the Quality of Life Index Among Hausa-Speaking People with Spinal Cord Injury in Northwest Nigeria.

Background: Quality of life (QoL) is an important outcome that is used to measure the success of healthcare interventions. Valid and reliable instruments are required to assess QoL. Hence, we conducted this study to adapt and validate the QoL Index (QLI) among Hausa-speaking people with spinal cord injury (SCI) in northwest Nigeria. Method: Using the International Society for Pharmacoeconomic and Outcome Research principles of good practice and the consensus-based standards for the selection of health measurement instruments guidelines, the QLI-SCI version was translated into Hausa language and tested for content validity, internal consistency, and test-retest reliability among people with SCI in northwest Nigeria. Result: The Hausa QLI (HQLI) demonstrated good content validity (CVI = 92.18%), internal consistency (Cronbach's alpha = 0.855), and test-retest reliability (ICC =0.949 [95% CI, 0.916-0.969]). Conclusion: The HQLI can be deployed to assess QoL among Hausa-speaking people with SCI, thus promoting robust measurement of QoL in an SCI population.

Genetics of rheumatoid arthritis.

In the past four decades, a plethora of genetic association studies have been carried out in cohorts of patients with rheumatoid arthritis. These studies have highlighted key aspects of disease pathogenesis and suggested causal mechanisms. In this review, we discuss major advances in our understanding of the genetic architecture of rheumatoid arthritis susceptibility, severity and treatment response and explain how genetics supports current models of disease pathogenesis and outcome. We outline future research directions, like Mendelian randomisation, and present a number of potential avenues for clinical translation, including risk and outcome prediction, patient stratification into treatment response groups and pharmacological applications.

A sneak peek into chronic glucose exposure and insulin secretion impairment through translatome.

Diabetes is an epidemic caused by a multitude of factors. Despite the studies attempting to unravel its mechanism, there is still more to discover about glucose-insulin dynamics. In a recent issue of the Journal of Clinical Investigation, Cheruiyot et al. uncovered a translational regulatory circuit during ß-cell glucose toxicity that inherently affects the translational makeup and protein expression in functioning ß-cells.Journal of Clinical Investigation, Cheruiyot et al. uncovered a translational regulatory circuit during ß-cell glucose toxicity that inherently affects the translational makeup and protein expression in functioning ß-cells. Their multiomics approach might provide a deeper understanding of high glucose and translational regulation of genes involved in ß-cell insulin impairment caused by prolonged high-glucose exposure.

Adaptation and Validation of the Persian Version of the Voice Handicap Index-10 (VHI-10).

OBJECTIVES: Voice disorders can profoundly impact health, quality of life, job performance, and social interactions. Traditional evaluations have expanded to include quality-of-life assessments, emphasizing self-reported outcomes. The Voice Handicap Index (VHI) stands out among relevant questionnaires, with the VHI-10 being a concise derivative. This study was conducted to translate and validate the Voice Handicap Index-10 (VHI-10) questionnaire for Persian speakers, enhancing clinical assessments of voice disorders and quality of life. METHODS: This cross-sectional study, conducted in Iran, involved (1) translating the VHI-10 into Persian, (2) confirming face and content validity using Content Validity Ratio (CVR), and Content Validity Index (CVI), and (3) evaluating its reliability through a survey. A panel of experts confirmed the validity, and reliability of the study, which was assessed using Cronbach's alpha, Spearman-Brown, and Guttman coefficients. The survey involved 225 participants, including 150 healthy people and 75 patients with voice disorders, who were selected using a convenience sampling method. RESULTS: All question items demonstrated a CVI greater than 0.79 and a CVR between 0.62 and 1. Reliability analysis yielded high Cronbach's alpha values for functional, physical, and emotional domains (0.909) and total (0.961). The mean overall scores of VHI-10 for healthy and disordered groups were 18.78 and 0.74, respectively. The VHI-10 effectively discriminated between healthy and disordered groups in all domains, with an accuracy of 97.33%. The determined cut-off point was 4.5, with a strong area under the Receiver Operating Characteristic (ROC) curve (0.989). CONCLUSION: This study successfully adapted and validated the Persian version of the VHI-10. The questionnaire demonstrated high reliability and validity, distinguishing between individuals with and without voice disorders. This Persian version is now a valuable tool for speech and language pathologists conducting clinical voice evaluations in Iran and also it could be applied in studies to determine the effects of voice problems on participant's quality of life.

ArzEn-MultiGenre: An aligned parallel dataset of Egyptian Arabic song lyrics, novels, and subtitles, with English translations.

ArzEn-MultiGenre is a parallel dataset of Egyptian Arabic song lyrics, novels, and TV show subtitles that are manually translated and aligned with their English counterparts. The dataset contains 25,557 segment pairs that can be used to benchmark new machine translation models, fine-tune large language models in few-shot settings, and adapt commercial machine translation applications such as Google Translate. Additionally, the dataset is a valuable resource for research in various disciplines, including translation studies, cross-linguistic analysis, and lexical semantics. The dataset can also serve pedagogical purposes by training translation students and aid professional translators as a translation memory. The contributions are twofold: first, the dataset features textual genres not found in existing parallel Egyptian Arabic and English datasets, and second, it is a gold-standard dataset that has been translated and aligned by human experts.

Urdu translation and cross-cultural validation of the stroke self-efficacy questionnaire.

BACKGROUND: The Stroke Self-Efficacy Questionnaire (SSEQ) measures the self-confidence of the individual in functional activities after a stroke. The SSEQ is a self-report scale with 13 items that assess self-efficacy after a stroke in several functional domains. OBJECTIVE: The purpose was to translate the Stroke Self-Efficacy Questionnaire into Urdu Language and to find out the validity and reliability of Urdu SSEQ among stroke patients. METHODS: The cross-cultural validation study design was used. Following COSMIN guidelines, forward and backward translation protocols were adopted. After pilot testing on 10 stroke patients, the final Urdu version was drafted. A sample of 110 stroke patients was used to evaluate the validity and reliability of the SSEQ-U. Content and Concurrent validity were determined. The intraclass correlation coefficient and Cronbach's alpha were used to measure internal consistency and test-retest reliability. Data analysis was performed using SPSS 25. RESULTS: The final version was drafted after application on 10 stroke patients. Content validity was analyzed by a content validity index ranging from 0.87 to 1. The internal consistency was calculated by Cronbach's alpha (α > 0.80). Test-retest reliability was determined by the Intra-class correlation coefficient (ICC2,1=0.956). Concurrent validity was determined by correlations with other scales by using the Spearman correlation coefficient; moderate to strong correlations (positive and negative) were found with the Functional Independence Measure (r = 0.76), Beck Depression Inventory (r=-0.54), Short Form of 12-item Scale (r = 0.68) and Fall Efficacy Scale (r = 0.82) with p < 0.05. CONCLUSION: The Urdu version was linguistically acceptable and accurate for stroke survivors for determining self-efficacy. It showed good content and concurrent validity, internal consistency and test-retest reliability.

Clinical trial results in context: comparison of baseline characteristics and outcomes of 38,510 RECOVERY trial participants versus a reference population of 346,271 people hospitalised with COVID-19 in England.

BACKGROUND: Randomised trials are essential to reliably assess medical interventions. Nevertheless, interpretation of such studies, particularly when considering absolute effects, is enhanced by understanding how the trial population may differ from the populations it aims to represent. METHODS: We compared baseline characteristics and mortality of RECOVERY participants recruited in England (n = 38,510) with a reference population hospitalised with COVID-19 in England (n = 346,271) from March 2020 to November 2021. We used linked hospitalisation and mortality data for both cohorts to extract demographics, comorbidity/frailty scores, and crude and age- and sex-adjusted 28-day all-cause mortality. RESULTS: Demographics of RECOVERY participants were broadly similar to the reference population, but RECOVERY participants were younger (mean age [standard deviation]: RECOVERY 62.6 [15.3] vs reference 65.7 [18.5] years) and less frequently female (37% vs 45%). Comorbidity and frailty scores were lower in RECOVERY, but differences were attenuated after age stratification. Age- and sex-adjusted 28-day mortality declined over time but was similar between cohorts across the study period (RECOVERY 23.7% [95% confidence interval: 23.3-24.1%]; vs reference 24.8% [24.6-25.0%]), except during the first pandemic wave in the UK (March-May 2020) when adjusted mortality was lower in RECOVERY. CONCLUSIONS: Adjusted 28-day mortality in RECOVERY was similar to a nationwide reference population of patients admitted with COVID-19 in England during the same period but varied substantially over time in both cohorts. Therefore, the absolute effect estimates from RECOVERY were broadly applicable to the target population at the time but should be interpreted in the light of current mortality estimates. TRIAL REGISTRATION: ISRCTN50189673- Feb. 04, 2020, NCT04381936- May 11, 2020.

Understanding molecular characteristics of extracellular vesicles derived from different types of mesenchymal stem cells for therapeutic translation.

Mesenchymal stem cells (MSCs) have been studied for decades as candidates for cellular therapy, and their secretome, including secreted extracellular vesicles (EVs), has been identified to contribute significantly to regenerative and reparative functions. Emerging evidence has suggested that MSC-EVs alone, could be used as therapeutics that emulate the biological function of MSCs. However, just as with MSCs, MSC-EVs have been shown to vary in composition, depending on the tissue source of the MSCs as well as the protocols employed in culturing the MSCs and obtaining the EVs. Therefore, the importance of careful choice of cell sources and culture environments is receiving increasing attention. Many factors contribute to the therapeutic potential of MSC-EVs, including the source tissue, isolation technique, and culturing conditions. This review illustrates the molecular landscape of EVs derived from different types of MSC cells along with culture strategies. A thorough analysis of publicly available omic datasets was performed to advance the precision understanding of MSC-EVs with unique tissue source-dependent molecular characteristics. The tissue-specific protein and miRNA-driven Reactome ontology analysis was used to reveal distinct patterns of top Reactome ontology pathways across adipose, bone marrow, and umbilical MSC-EVs. Moreover, a meta-analysis assisted by an AI technique was used to analyze the published literature, providing insights into the therapeutic translation of MSC-EVs based on their source tissues.

Widespread changes to the translational landscape in a maize microRNA biogenesis mutant.

MicroRNAs are short, non-coding RNAs that repress gene expression in both plants and animals and have diverse functions related to growth, development, and stress responses. The ribonuclease, DICER-LIKE1 (DCL1) is required for two steps in plant miRNA biogenesis: cleavage of the primary miRNAs (pri-miRNAs) to release a hairpin structure, called the precursor miRNA (pre-miRNA) and cleavage of the pre-miRNA to generate the miRNA/miRNA* duplex. The mature miRNA guides the RNA-induced silencing complex to target RNAs with complementary sequences, resulting in translational repression and/or RNA cleavage of target mRNAs. However, the relative contribution of translational repression versus mRNA degradation by miRNAs remains unknown at the genome-level in crops, especially in maize. The maize fuzzy tassel (fzt) mutant contains a hypomorphic mutation in DCL1 resulting in broad developmental defects. While most miRNAs are reduced in fzt, the levels of miRNA-targeted mRNAs are not dramatically increased, suggesting that translational regulation by miRNAs may be common. To gain insight into the repression mechanism of plant miRNAs, we combined ribosome profiling and RNA-sequencing to globally survey miRNA activities in maize. Our data indicate that translational repression contributes significantly to regulation of most miRNA targets and that approximately one-third of miRNA targets are regulated primarily at the translational level. Surprisingly, ribosomes appear altered in fzt mutants suggesting that DCL1 may also have a role in ribosome biogenesis. Thus, DICER-LIKE1 shapes the translational landscape in plants through both miRNA-dependent and miRNA-independent mechanisms.

Adding first-line PD-1 inhibition to anti-VEGF and XELOX in pMMR metastatic colorectal cancer: Steppingstones, stumbling blocks, and next phase.

In the randomized, double-blind, multicenter study by Wang et al.,1 the addition of serplulimab (a PD-1 antibody) to anti-VEGF (HLX04; a bevacizumab biosimilar) together with chemotherapy (XELOX) was deemed to be tolerable and safe and may improve progression-free survival. However, even if adverse events were comparable, oncological endpoints including survival need to be confirmed in the next phase 3 study.

Preclinical study and phase II trial of adapting low-dose radiotherapy to immunotherapy in small cell lung cancer.

BACKGROUND: Immune checkpoint inhibitors (ICIs) provide modest but unsatisfactory benefits for extensive-stage small cell lung cancer (ES-SCLC). Developing strategies for treating ES-SCLC is critical. METHODS: We preliminarily explored the outcomes of salvage low-dose radiotherapy (LDRT) plus ICI on refractory SCLC patients. Next, we evaluated the combinational efficacy in murine SCLC. The tumor immune microenvironment (TIME) was analyzed for mechanistic study. Subsequently, we conducted a multicenter, prospective phase II trial that administered concurrent thoracic LDRT plus chemoimmunotherapy to treatment-naive ES-SCLC patients (MATCH trial, NCT04622228). The primary endpoint was confirmed objective response rate (ORR), and the key secondary endpoints included progression-free survival (PFS) and safety. FINDINGS: Fifteen refractory SCLC patients treated with LDRT plus ICI were retrospectively reviewed. The ORR was 73.3% (95% confidence interval [CI], 44.9-92.2). We identified a specific dose of LDRT (15 Gy/5 fractions) that exhibited growth retardation and improved survival in murine SCLC when combined with ICIs. This combination recruited a special T cell population, TCF1+ PD-1+ CD8+ stem-like T cells, from tumor-draining lymph nodes into the TIME. The MATCH trial showed a confirmed ORR of 87.5% (95% CI, 75.9-94.8). The median PFS was 6.9 months (95% CI, 5.4-9.3). CONCLUSIONS: These findings verified that LDRT plus chemoimmunotherapy was safe, feasible, and effective for ES-SCLC, warranting further investigation. FUNDING: This research was funded by West China Hospital (no. ZYJC21003), the National Natural Science Foundation of China (no. 82073336), and the MATCH trial was fully funded by Roche (China) Holding Ltd. (RCHL) and Shanghai Roche Pharmaceuticals Ltd. (SRPL).

Ribosome-Free Translation up to Pentapeptides via Template Walk on RNA Sequences.

The origin of translation is one of the most difficult problems of molecular evolution. Identifying molecular systems that translate an RNA sequence into a peptide sequence in the absence of ribosomes and enzymes is a challenge. Recently, single-nucleotide translation via coupling of 5' phosphoramidate-linked amino acids to 2'/3'-aminoacyl transfer-NMPs, as directed by the sequence of an RNA template, was demonstrated for three of the four canonical nucleotides. How single-nucleotide translation could be expanded to include all four bases and to produce longer peptides without translocation along the template strand remained unclear. Using transfer strands of increasing length containing any of the four bases that interrogate adjacent positions along the template, we now show that pentapeptides can be produced in coupling reactions and subsequent hydrolytic release in situ. With 2'/3'-aminoacylated mono-, di, tri- and tetranucleotides we thus show just how efficient translation can be without biomacromolecules.

Measuring what matters to older persons for active living: part I content development for the OPAL measure across four countries.

AIMS: Many older persons do not think of themselves as "patients" but as persons wishing to live as actively as possible for as long as possible. However, most health-related quality of life (HRQL) measures were developed for use with clinical populations. The aim of this project was to fill that gap and to develop, for international use, a measure of what matters to older persons as they age and seek to remain as active as possible, Older Persons for Active Living (OPAL). METHODS: For content development, interviews about active living were conducted with older persons from Canada, USA, UK, and the Netherlands in English, French, Spanish and Dutch, respectively with subsequent thematic analysis and harmonization. RESULTS: Analyses of transcripts from 148 older persons revealed that active living was a "way of being" and not merely doing activities. Saturation was reached and a total of 59 content areas were identified. After grouping similar "ways" together and after conducting a consensus rating of importance, 19 unique and important "ways" remained. In some languages, formulating was challenging for three of the 19, resulting in changes to two English words and dropping two other words, yielding a final list of 17 "ways of being" with harmonized wording in 4 languages. CONCLUSION: This study underscores the significance of listening to older adults and highlights the importance of considering linguistic and cultural nuances in measure development.

The canonical antiviral protein oligoadenylate synthetase 1 elicits antibacterial functions by enhancing IRF1 translation.

An important property of the host innate immune response during microbial infection is its ability to control the expression of antimicrobial effector proteins, but how this occurs post-transcriptionally is not well defined. Here, we describe a critical antibacterial role for the classic antiviral gene 2'-5'-oligoadenylate synthetase 1 (OAS1). Human OAS1 and its mouse ortholog, Oas1b, are induced by interferon-γ and protect against cytosolic bacterial pathogens such as Francisella novicida and Listeria monocytogenes in vitro and in vivo. Proteomic and transcriptomic analysis showed reduced IRF1 protein expression in OAS1-deficient cells. Mechanistically, OAS1 binds and localizes IRF1 mRNA to the rough endoplasmic reticulum (ER)-Golgi endomembranes, licensing effective translation of IRF1 mRNA without affecting its transcription or decay. OAS1-dependent translation of IRF1 leads to the enhanced expression of antibacterial effectors, such as GBPs, which restrict intracellular bacteria. These findings uncover a noncanonical function of OAS1 in antibacterial innate immunity.