Biology subjects

Hughes, T.

Publications and source records attributed to Hughes, T..

At least 19 recordsLinked to original sources

bioRxiv2026

Beyond Exons: Linking Noncoding Heritability and Polygenicity across Complex Human Traits and Disorders

The genetic architecture of complex traits spans a continuum of polygenicity, yet it remains unclear how differences in polygenicity relate to the functional localization of SNP heritability across the genome. We use a MiXeR-based framework to partition heritability across exonic, intronic, and intergenic regions for 34 traits and introduce a likelihood-based annotation contribution score that quantifies annotation-specific impact on heritability. Exons explain a minority of heritability, and their contribution decreases with increasing polygenicity, from an average of 22% in less polygenic somatic diseases and biomarkers to 13% in highly polygenic psychiatric and cognitive phenotypes. Intergenic fractions show the opposite trend, whereas intronic fractions remain relatively stable. Analysis of a broader set of functional annotations reveals systematic differences along the polygenicity axis: highly polygenic traits show stronger contributions from comparative genomics and variant-effect scores, whereas less polygenic traits show stronger contributions in promoter, transcription, and chromatin annotations. Together, these results indicate that the functional partitioning of heritability systematically varies with polygenicity, pointing to a shift from gene-proximal regulatory architectures to architectures shaped by numerous dispersed regulatory effects as a key determinant of differences in polygenicity across traits.

genetics↗

bioRxiv2025

EGFR-targeted and MMP-activated membranolytic peptides derived from Polybia paulista MP1 kill cancer cells specifically in vitro and reduce tumour growth in vivo

Membranolytic peptides have demonstrated potential as cancer therapeutics, although targeting to cancer cells and reducing toxicity associated with activity in normal cells remain unmet challenges. We have investigated the membranolytic peptide MP1, from Polybia paulista, in order to assess ways to reduce its non-specific toxicity and thereby improve its characteristics as a cancer therapeutic. Using a panel of human breast cell lines and cell survival assays, we show that C-terminal addition of an EGFR binding sequence, with or without a linking MMP-2 cleavage sequence, generally reduced the efficacy of the peptides relative to wildtype MP1, as determined by increases in IC50 values. Critically, cell lines that show the highest sensitivities to these fusion peptides (MDA-MB-468, MDA-MB-231) expressed the highest EGFR and/or MMP-2 levels, demonstrating that these additions direct the cytotoxic activity to cells expressing these biomarkers. MMP-2 inhibition significantly reduced the cell-killing activity of peptides containing MMP-2 cleavage sites, further demonstrating targeting to this biomarker. Fusion peptides significantly induced apoptosis and reduced survival in EGFR/MMP-2 high cancer cells, while sparing EGFR/MMP-2 low cells in the context of standard tissue culture and 3D-spheroids. Finally, systemic treatment with the EGFR and MMP-2 cleavage fusion significantly reduced tumour size in MDA-MB-468 xenograft models, confirming in vivo efficacy against cancer cells and acceptable systemic toxicity. We present this EGFR-MMP-MP1 peptide as a novel cancer therapeutic for further pre-clinical and clinical development.

cancer biology↗

bioRxiv2025

HO-3867 mediated modulation of Extracellular vesicles and Tumor microenvironment: A novel immunotherapeutic strategy for ovarian cancer

IntroductionOvarian cancer (OC) remains the most lethal gynecologic malignancy, with poor long-term survival, largely due to its diagnosis at advanced stages and its high rate of recurrence with resistance to platinum therapies. This study evaluates the therapeutic efficacy of HO-3867, a STAT3 inhibitor, and bevacizumab, an anti-VEGF antibody, alone and in combination in an immunocompetent (IC) syngeneic ovarian cancer progression model. MethodsThe ability of HO-3867 to induce macrophage polarization was assessed in RAW264.7 cells, while its impact on anti-tumor immunity was evaluated in splenocytes co-cultured with ID8 and OC ascites cells. Immune modulation, including cytokine induction, extracellular vesicle (EV) release, and endosomal sorting complex required for transport (ESCRT) protein expression, was analyzed in-vitro and using in-vivo OC model. The therapeutic effects of HO-3867 and bevacizumab were examined in vivo by measuring ascites volume, EV secretion levels, and immune cell populations via flow cytometry. ResultsOur results demonstrate that combination therapy significantly reduced ascites accumulation, and limited peritoneal disease spread in ovarian cancer mouse models. EV analysis revealed a decrease in total EVs and CD9+ subpopulations, which correlated with the associated ESCRT proteins involved in EV formation and secretion implicating EVs in tumor progression and immune modulation. Flow cytometry analysis of ascites immune cell populations showed that combination therapy reduced myeloid-derived suppressor cells (MDSCs) and their PD-L1 expression, while enhancing CD8+ T cell cytotoxicity via granzyme B secretion. Cytokine profiling revealed upregulation of IFN-{gamma} and downregulation of IL-6, IL-10 and CXCL-2 suggesting enhanced anti-tumor immune response. Furthermore, HO-3867 promoted macrophage polarization toward tumoricidal M1 phenotype and reduced MDSC expansion in-vitro, enhancing anti-tumor immunity. ConclusionHO-3867 and bevacizumab synergistically reprogram the tumor microenvironment, inhibit EV-mediated progression, and enhance antitumor immunity. These findings support its immunomodulatory potential in ovarian cancer ascites, offering a promising therapeutic strategy.

cancer biology↗

bioRxiv2025

Single-cell transcriptomics-guided development of flow cytometric tests predicting chronic myeloid leukemia blast crisis transformation at chronic phase diagnosis

Clinical risk scores in chronic myeloid leukemia (CML) are inadequate for identifying chronic phase (CP) patients at high-risk of blast crisis (BC) progression. The lack of accurate predictive tests hamper timely interventions, including stem cell transplants, that are more effective in early disease. By interrogating a single cell atlas of primary imatinib resistance for a BC-like gene expression signature, we identify aberrant CD42A+ megakaryocytic and CD10+CD19+ lymphoid progenitor expansion, as well as STAT1- and IFN{gamma}-related inflammatory programs, as consistent features in the bone marrow and peripheral blood of CP patients at high-risk of BC transformation. We develop multi-color flow cytometry-based tests (MFC) to detect these features in CP patients at the time of diagnosis. Validating our MFC panels on a combined Australia-Singapore cohort comprising 28 CP patients, including 14 who underwent transformation, we demonstrate their ability to detect 100% of CP patients who transform with no false positives. Our findings highlight small populations of inflamed hematopoietic stem and progenitor cells, present at CP diagnosis, as powerful harbingers of future BC transformation. The ability of MFC panels to detect these cells at diagnosis support their inclusion as accurate risk-assessment tools to improve management of high-risk patients.

cancer biology↗

bioRxiv2024

Nirmatrelvir-Resistant Mutations in SARS-CoV-2 Mpro Enhance Host Immune Evasion via Cleavage of NF-κB Essential Modulator

Nirmatrelvir is a SARS-CoV-2 Mpro inhibitor in Paxlovid. Patients treated with it often produce mutant viruses in which the Mpro resists Nirmatrelvir inhibition. A common interpretation is that the mutations allow the virus to escape inhibition, but here we report that these mutations enable the protease to more effectively cleave the host protein NF-kappa-B essential modulator (NEMO), which weakens the immune response, improves viral replication, and may contribute to long COVID.

immunology↗

bioRxiv2024

Deciphering transcriptional programming during lupin (Lupinus angustifolius) seed development using RNA-seq

Lupin (Lupinus spp.) seeds are valued for their high protein content (35-40%) for both human and animal consumption. Seed development in crop plants is a critical factor influencing both seed fate and yield, hence, understanding the molecular mechanisms of seed development is essential. This study conducted a transcriptome analysis of Narrow Leaf Lupin (NLL) during seed development stages (3, 6, 9, 12, 15, 18, and 21 days after flowering) to investigate transcriptional dynamics and identify key candidate genes that control seed development. Approximately 357 million sequencing reads were generated from nine samples from leave, flower and seed tissues, enabling the identification of 34,769 expressed genes. The analysis revealed dynamic gene expression, with early stages marked by high metabolic activity and later stages focusing on storage protein synthesis and nutrient reservoir formation. The differential expression patterns of seed storage protein genes, including cupin groups (, {beta}, {gamma}, and {delta} conglutins), were notable. The expression of and {beta} conglutins increased at later stages (15-21 days after flowering), supporting their role in grain filling and nutrient storage. Genes related to quinolizidine alkaloid biosynthesis, such as lysine/ornithine decarboxylase and purine permease transporter 1, showed late expression patterns suggesting alkaloid synthesis and transport during later stages. Many of the well-established transcription factors (TFs) known for their roles in seed development (bHLH, AP2, MYB, ERF, C2H2, NAC, WRKY, and C3H zinc finger families) showed differential expression, thus reinforcing the validity of our findings. These findings lay the groundwork for understanding the genetic and molecular mechanisms of seed development in lupin, contributing to enhanced crop management and breeding programs.

plant biology↗

bioRxiv2024

Comprehensive multi-site profiling of the malignant pleural mesothelioma micro-environment identifies candidate molecular determinants of histopathologic type

Pleural mesothelioma (PM) comprises sarcomatoid, epithelioid and biphasic histologic subtypes. Bulk PM RNA-sequencing identifies a histology-associated molecular gradient with features of epithelial-mesenchymal (EM) transition but cannot parse malignant, stromal, and immune tumor components. The mechanisms driving PM malignant cell phenotype and associated histology is not well-characterized. Here, we use single-cell RNA-sequencing (scRNA-seq) paired with exome, bulk RNA-sequencing, and histologic analysis of adjacent samples to characterize malignant cell EM state, parse the tumor microenvironment (TME), and identify candidate drivers of PM cell fate. We observe EM variation in malignant cells analogous to bulk samples. We characterize epithelioid and sarcomatoid malignant cell programs and identify a new uncommitted malignant cell EM phenotype enriched in biphasic histology samples. Using inferred CNVs we observe that single individual PM clones consist of cells exhibiting all three EM cell states. We find that distinct non-malignant microenvironments associated with tumors consisting of mostly cells in each state, and identify WNT inhibition, GAS6-AXL, and HBEGF-EGFR signaling as pathways associated with distinct EM cell states. These findings provide deeper insight into the molecular drivers of PM malignant cells and identify non-malignant cell signals as potential EMT and growth drivers in PM.

cancer biology↗

bioRxiv2022

Multi-species analysis of inflammatory response elements reveals ancient and lineage-specific contributions of transposable elements to NF-κB binding

Transposable elements (TEs) provide a source of transcription factor binding sites that can rewire conserved gene regulatory networks. NF-{kappa}B is an evolutionary conserved transcription factor complex primarily involved in innate immunity and inflammation. The extent to which TEs have contributed to NF-{kappa}B responses during mammalian evolution is not well established. Here we performed a multi-species analysis of TEs bound by the NF-{kappa}B subunit RELA (also known as p65) in response to the proinflammatory cytokine TNF. By comparing RELA ChIP-seq data from TNF-stimulated primary aortic endothelial cells isolated from human, mouse and cow, we found that 55 TE subfamilies were associated with RELA bound regions. These RELA-bound transposons possess active epigenetic features and reside near TNF-responsive genes. A prominent example of lineage-specific contribution of transposons comes from the bovine SINE subfamilies Bov-tA1/2/3 which collectively contributed over 14,000 RELA bound regions in cow. By comparing RELA binding data across species, we also found several examples of RELA motif-bearing TEs that colonized the genome prior to the divergence of the three species and contributed to species-specific RELA binding. For example, we found human RELA bound MER81 instances were enriched for the interferon gamma pathway and demonstrated that one RELA bound MER81 element can control the TNF-induced expression of Interferon Gamma Receptor 2 (IFNGR2). Using ancestral reconstructions, we found that RELA containing MER81 instances rapidly decayed during early primate evolution (> 50 million years ago (MYA)) before stabilizing since the separation of Old World monkeys (< 50 MYA). Taken together, our results suggest ancient and lineage-specific transposon subfamilies contributed to mammalian NF-{kappa}B regulatory networks.

genomics↗

bioRxiv2022

Single-strain behavior predicts responses to environmental pH and osmolality in the gut microbiota.

Changes to gut environmental factors such as pH and osmolality due to disease or drugs correlate with major shifts in microbiome composition; however, we currently cannot predict which species can tolerate such changes or how the community will be affected. Here, we assessed the growth of 92 representative human gut bacterial strains spanning 28 families across multiple pH values and osmolalities in vitro. The ability to grow in extreme pH or osmolality conditions correlated with the availability of known stress response genes in many cases, but not all, indicating that novel pathways may participate in protecting against acid or osmotic stresses. Machine learning analysis uncovered genes or subsystems that are predictive of differential tolerance in either acid or osmotic stress. For osmotic stress, we corroborated the increased abundance of these genes in vivo during osmotic perturbation. The growth of specific taxa in limiting conditions in isolation in vitro correlated with survival in complex communities in vitro and in an in vivo mouse model of diet-induced intestinal acidification. Our data show that in vitro stress tolerance results are generalizable and that physical parameters may supersede interspecies interactions in determining the relative abundance of community members. Importantly, we provide an extensive resource for predicting shifts in microbial composition and gene abundance in complex perturbations. Furthermore, this work highlights the physical environment as a major driver of bacterial composition and the importance of performing physical measurements in animal and clinical studies to elucidate the drivers of shifts in microbiota abundance. Significance StatementChanges in pH and particle concentration (osmolality) commonly result from gut disease or the ingestion of common drugs, causing changes in bacterial growth and microbiota composition within the intestine. Thus far, the effects of physical parameters on the growth of intestinal bacterial taxa have not been well documented in the context of predicting microbiota community composition. To address this gap, we examined the growth of 92 bacterial species under varying pH and osmolality conditions. We found that physical parameters are key predictors of bacterial abundance in individual-strain cultures and in complex bacterial communities. Moreover, our results identified specific genes and pathways that are predictive of growth in specific environments. Together, these findings can aid in determining the effectiveness of microbiota therapies in gut environments subjected to various perturbations.

microbiology↗

bioRxiv2022

Identification of pre-existing microbiome and metabolic vulnerabilities to escalation of oxycodone self-administration and identification of a causal role of short-chain fatty acids in addiction-like behaviors.

The gut brain axis is thought to play a role in behavior and physiological responses through chemical, immunological, and metabolite signaling. Antibiotics, diet, and drugs can alter the transit time of gut contents as well as the makeup of the microbiome. Heterogeneity in genetics and environment are also well-known factors involved in the initiation and perpetuation of substance use disorders. Few viable genetic or biological markers are available to identify individuals who are at risk of escalating opioid intake. Primarily, the addiction field has focused on the nervous system, limiting the discovery of peripheral factors that contribute to addiction. To address this gap, we characterized the microbiome before and after drug exposure, and after antibiotics depletion in male and female heterogenous stock rats to determine if microbiome constituents are protective of escalation. We hypothesized that individuals that are prone to escalation of opioid self-administration will have distinct microbial and metabolic profiles. The fecal microbiome and behavioral responses were measured over several weeks of oxycodone self-administration and after antibiotic treatment. Antibiotic treatment reduces circulating short-chain fatty acids (SCFA) by depleting microbes that ferment fiber into these essential signaling molecules for the gut-brain axis. Depletion of the microbiome increased oxycodone self-administration in a subpopulation of animals (Responders). Supplementation of SCFAs in antibiotic depleted animals decreased elevated oxycodone self-administration. Phylogenetic functional analysis reveals distinct metabolic differences in the subpopulations of animals that are sensitive to antibiotic depletion and animals rescued by SCFA supplementation. In conclusion, this study identifies pre-existing microbiome and metabolic vulnerabilities to escalation of oxycodone self-administration, demonstrates that escalation of oxycodone self-administration dysregulates the microbiome and metabolic landscape, and identifies a causal role of short-chain fatty acids in addiction-like behaviors.

neuroscience↗

bioRxiv2022

Overexpression of the WAPO-A1 gene increases the number of spikelets per spike in bread wheat

Two homoeologous QTLs for number of spikelets per spike (SPS) were mapped on chromosomes 7AL and 7BL using two wheat MAGIC populations. Sets of lines contrasting for the QTL on 7AL were developed which allowed for the validation and fine mapping of the 7AL QTL and for the identification of a previously described candidate gene, WHEAT ORTHOLOG OF APO1 (WAPO1). Using transgenic overexpression in both a low and a high SPS line, we provide a functional validation for the role of this gene in determining SPS also in hexaploid wheat. We show that the expression levels of this gene positively correlate with SPS in multiple MAGIC founder lines under field conditions as well as in transgenic lines grown in the greenhouse. This work highlights the potential use of WAPO1 in hexaploid wheat for further yield increases. The impact of WAPO1 and SPS on yield depends on other genetic and environmental factors, hence, will require a finely balanced expression level to avoid the development of detrimental pleiotropic phenotypes.

plant biology↗

bioRxiv2021

Taxonomic classification methods reveal a new subgenus in the paramyxovirus subfamily Orthoparamyxovirinae

As part of a broad One Health surveillance effort to detect novel viruses in wildlife and people, we report several paramyxoviruses sequenced primarily from bats during 2013 and 2014 in Brazil and Malaysia, including seven from which we recovered full-length genomes. Of these, six represent the first full-length paramyxovirus genomes sequenced from the Americas, including two sequences which are the first full-length bat morbillivirus genomes published to date. Our findings add to the vast number of viral sequences in public repositories that have been increasing considerably in recent years due to the rising accessibility of metagenomics. Taxonomic classification of these sequences in the absence of phenotypic data has been a significant challenge, particularly in the paramyxovirus subfamily Orthoparamyxovirinae, where the rate of discovery of novel sequences has been substantial. Using pairwise amino acid sequence classification (PASC), we describe a novel genus within this subfamily tentatively named Jeishaanvirus, which we propose should include as subgenera Jeilongvirus, Shaanvirus, and a novel South American subgenus Cadivirus. We also highlight inconsistencies in the classification of Tupaia virus and Mojiang virus using the same demarcation criteria and show that members of the proposed subgenus Shaanvirus are paraphyletic. Importantly, this study underscores the critical importance of sequence length in PASC analysis as well as the importance of biological characteristics such as genome organization in the taxonomic classification of viral sequences.

microbiology↗

bioRxiv2021

A literature-derived knowledge graph augments the interpretation of single cell RNA-seq datasets

Technology to generate single cell RNA-sequencing (scRNA-seq) datasets and tools to annotate them have rapidly advanced in the past several years. Such tools generally rely on existing transcriptomic datasets or curated databases of cell type defining genes, while the application of scalable natural language processing (NLP) methods to enhance analysis workflows has not been adequately explored. Here we deployed an NLP framework to objectively quantify associations between a comprehensive set of over 20,000 human protein-coding genes and over 500 cell type terms across over 26 million biomedical documents. The resultant gene-cell type associations (GCAs) are significantly stronger between a curated set of matched cell type-marker pairs than the complementary set of mismatched pairs (Mann Whitney p < 6.15x10-76, r = 0.24; cohens D = 2.6). Building on this, we developed an augmented annotation algorithm that leverages GCAs to categorize cell clusters identified in scRNA-seq datasets, and we tested its ability to predict the cellular identity of 185 clusters in 13 datasets from human blood, pancreas, lung, liver, kidney, retina, and placenta. With the optimized settings, the true cellular identity matched the top prediction in 66% of tested clusters and was present among the top five predictions for 94% of clusters. Further, contextualization of differential expression analyses with these GCAs highlights poorly characterized markers of established cell types, such as CLIC6 and DNASE1L3 in retinal pigment epithelial cells and endothelial cells, respectively. Taken together, this study illustrates for the first time how the systematic application of a literature derived knowledge graph can expedite and enhance the annotation and interpretation of scRNA-seq data.

genomics↗

bioRxiv2020

A human iPSC-astroglia neurodevelopmental model reveals divergent transcriptomic patterns in schizophrenia

While neurodevelopmental abnormalities have been associated with schizophrenia (SCZ), the role of astroglia in disease pathophysiology remains poorly understood. In this study we used a human induced pluripotent stem cell (iPSC)-derived astrocyte model to investigate the temporal patterns of astroglia differentiation during developmental stages critical for SCZ using RNA-sequencing. The model generated astrocyte-specific patterns of gene expression during differentiation, and demonstrated that these patterns correspond well to astroglia-specific expression signatures of in vivo cortical fetal development. Applying this model, we were able to identify SCZ-specific expression dynamics in human astrocytes, and found that SCZ-associated differentially expressed genes were significantly enriched in the medial prefrontal cortex, striatum, and temporal lobe, targeting VWA5A and ADAMTS19. In addition, SCZ astrocytes displayed alterations in calcium signaling, and significantly decreased glutamate uptake and metalloproteinase activity relative to controls. These results provide strong support for the validity of our astrocyte model, and implicate novel transcriptional dynamics in astrocyte differentiation in SCZ together with functional changes that are potentially important biological components of SCZ pathology.

neuroscience↗

bioRxiv2020

No evidence of coronaviruses or other potentially zoonotic viruses in Sunda pangolins (Manis javanica) entering the wildlife trade via Malaysia.

The legal and illegal trade in wildlife for food, medicine and other products is a globally significant threat to biodiversity that is also responsible for the emergence of pathogens that threaten human and livestock health and our global economy. Trade in wildlife likely played a role in the origin of COVID-19, and viruses closely related to SARS-CoV-2 have been identified in bats and pangolins, both traded widely. To investigate the possible role of pangolins as a source of potential zoonoses, we collected throat and rectal swabs from 334 Sunda pangolins (Manis javanica) confiscated in Peninsular Malaysia and Sabah between August 2009 and March 2019. Total nucleic acid was extracted for viral molecular screening using conventional PCR protocols used to routinely identify known and novel viruses in extensive prior sampling (>50,000 mammals). No sample yielded a positive PCR result for any of the targeted viral families - Coronaviridae, Filoviridae, Flaviviridae, Orthomyxoviridae and Paramyxoviridae. In light of recent reports of coronaviruses including a SARS-CoV-2 related virus in Sunda pangolins in China, the lack of any coronavirus detection in our upstream market chain samples suggests that these detections in downstream animals more plausibly reflect exposure to infected humans, wildlife or other animals within the wildlife trade network. While confirmatory serologic studies are needed, it is likely that Sunda pangolins are incidental hosts of coronaviruses. Our findings further support the importance of ending the trade in wildlife globally.

molecular biology↗

bioRxiv2020

Single-cell analysis reveals mechanisms of plasticity of leukemia initiating cells

Leukemia initiating cells (LICs) fuel leukemic growth and spark relapse. Previously thought to be primitive and rare, the LIC state may actually be heterogeneous and dynamic, enabling evasion of therapies. Here, we use single-cell transcriptomics to track LIC multipotency within the cellular ontogeny of MLL-rearranged B-lymphoblastic leukemia (MLL-r B-ALL). Although we identify rare transcriptionally and phenotypically primitive LICs, we also observe LICs emerging from more differentiated populations with the capability to replenish the full leukemic cellular diversity. We find that activation of MYC-driven oxidative phosphorylation controls this process of facultative state conversion in LICs.

cancer biology↗

bioRxiv2020

Design for Fast Optogenetic Screen In Mammalian Cells For Next Gen Ca2+ Sensors

Genetically encoded fluorescent biosensors are powerful tools for studying complex signaling in the nervous system, and now both Ca2+ and voltage sensors are available to study the signaling behavior of entire neural circuits. There is a pressing need for improved sensors to properly interrogate these systems. Improving them is challenging because testing them involves low throughput, labor-intensive processes. Our goal was to create a live cell system in HEK293 cells that use a simple, reproducible, optogenetic process for testing prototypes of genetically encoded biosensors. In this live cell system, blue light activates an adenylyl cyclase enzyme (bPAC) that increases intracellular cAMP [1]. In turn, the cAMP opens a cAMP gated ion channel (olfactory cyclic nucleotide-gated channel, CNG, or the hyperpolarization-activated cyclic nucleotide-gated channel, HCN2). This produces slow, whole-cell Ca2+ transients and voltage changes. To increase the speed of these transients, we added the inwardly rectifying potassium channel Kir2.1, the bacterial voltage-gated sodium channel NAVROSD, and Connexin-43. This is a modular system in which the types of channels, and their relative amounts, can be tuned to produce the cellular behavior that is crucial for screening biosensors. The result is a highly reproducible, high-throughput live cell system that can be used to screen voltage and Ca2+ sensors in multiple fluorescent wavelengths simultaneously.

bioengineering↗

bioRxiv2019

Transparent and Reproducible Research Practices in the Surgical Literature

Previous studies have established a baseline of minimal reproducibility in the social science and biomedical literature. Clinical research is especially deficient in factors of reproducibility. Surgical journals contain fewer clinical trials than non-surgical ones, suggesting that it should be easier to reproduce the outcomes of surgical literature. In this study, we evaluated a broad range of indicators related to transparency and reproducibility in a random sample of 300 articles published in surgery-related journals between 2014 and 2018. A minority of our sample made available their materials (2/186, 95% C.I. 0-2.2%), protocols (1/196, 0-1.3%), data (19/196, 6.3-13%), or analysis scripts (0/196, 0-1.9%). Only one study was adequately pre-registered. No studies were explicit replications of previous literature. Most studies (162/292 50-61%) declined to provide a funding statement, and few declared conflicts of interest (22/292, 4.8-11%). Most have not been cited by systematic reviews (183/216, 81-89%) or meta-analyses (188/216, 83-91%), and most were behind a paywall (187/292, 58-70%). The transparency of surgical literature could improve with adherence to baseline standards of reproducibility.

scientific communication and education↗