Publications by authors named "Maria F Gomez"

Background: Cachexia accounts for about 20% of all cancer-related deaths and it is indicative of poor prognosis and progressive functional impairment. The role of the gut microbiome in the development of cachexia in colorectal cancer (CRC) patients has not been established.

Methods: Pre-surgical stool samples from n = 103 stage I-III CRC patients in the ColoCare Study were analyzed using 16S rRNA gene sequencing (Illumina) to characterize fecal bacteria.

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Ensuring high vaccination coverage is vital, particularly during a pandemic. While pre-booked appointment letters have shown promise in vaccination campaigns, their effectiveness in specific sociodemographic groups remains to be explored. Our study evaluated the effect of pre-booked appointment letters on COVID-19 vaccine uptake within different sociodemographic groups using a quasi-experimental methodology.

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Introduction: The residence system can become an area of social inequalities and inequities, also becoming a scenario where discrimination and work-related and gender violence are reproduced. The objectives of the study are to understand the perception of discrimination and workplace violence, the most frequent types of discrimination, the factors related to perceived discrimination and violence, and the degree of knowledge about institutional protocols.

Materials And Methods: Cross-sectional study.

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Background: Body composition is associated with colorectal cancer (CRC) survival. However, body composition measurements have traditionally relied on single-slice, axial imaging. Fully automated volumetric body composition analysis is widely available, but associations with CRC survival have yet to be examined in detail.

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Unlabelled: There is an increasing need for new biomarkers to improve prediction of chronic kidney disease (CKD) in individuals with type 2 diabetes (T2D). We aimed to identify blood-based epigenetic biomarkers associated with incident CKD and develop a methylation risk score (MRS) predicting CKD in individuals with newly diagnosed T2D. DNA methylation was analyzed epigenome wide in blood from 487 individuals with newly diagnosed T2D, of whom 88 developed CKD during an 11.

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Intraductal papillary mucinous neoplasms (IPMN) are commonly detected pancreatic cysts that may transform into pancreatic ductal adenocarcinoma (PDAC). Predicting which IPMNs will progress to PDAC remains a clinical challenge. Moreover, identifying those clinically evident IPMNs for which a surveillance approach is best is a dire clinical need.

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We describe the case of a 36-year-old male patient with a history of chronic headache who came to the emergency room due to an intense global headache, associated with a tonic-clonic episode and loss of consciousness. A cranial computed tomography revealed subarachnoid hemorrhage without apparent aneurysms and a left temporal hyperdense lesion suggestive of intraparenchymal hematoma on the follow-up computed tomography. Cerebral angiography showed irregularities in the right internal carotid artery, including a pseudoaneurysm and multiple stenoses in pial arteries, which were related to chronic cocaine use.

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Diabetic kidney disease (DKD) is the leading cause of end stage kidney failure worldwide, of which cellular insulin resistance is a major driver. Here, we study key human kidney cell types implicated in DKD (podocytes, glomerular endothelial, mesangial and proximal tubular cells) in insulin sensitive and resistant conditions, and perform simultaneous transcriptomics and proteomics for integrated analysis. Our data is further compared with bulk- and single-cell transcriptomic kidney biopsy data from early- and advanced-stage DKD patient cohorts.

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Aims: Type 2 diabetes (T2D) patients with a clinical phenotype characterized by a high degree of insulin resistance are at increased risk of chronic kidney disease (CKD). We previously demonstrated that the endothelin receptor antagonist (ERA) atrasentan reduced insulin resistance in T2D. In this study, we compared the effect of atrasentan on insulin resistance across different phenotypic clusters of patients with T2D.

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Obesity and cardiometabolic disease often, but not always, coincide. Distinguishing subpopulations within which cardiometabolic risk diverges from the risk expected for a given body mass index (BMI) may facilitate precision prevention of cardiometabolic diseases. Accordingly, we performed unsupervised clustering in four European population-based cohorts (N ≈ 173,000).

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Article Synopsis
  • - Precision medicine aims to enhance the accuracy and reliability of health recommendations while ensuring safety and cost-effectiveness, but faces challenges due to the diverse nature of diseases and the lack of standardized reporting in research.
  • - The BePRECISE consortium, made up of 23 experts, developed a 23-item checklist to improve the reporting of precision medicine research, using a thorough review process to create guidelines.
  • - The checklist promotes inclusivity in research by emphasizing health equity, encouraging the involvement of under-represented communities, which can help with the effective and fair application of precision medicine in clinical settings.
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Article Synopsis
  • Precision medicine can enhance the prediction of cardiovascular disease (CVD) risk in individuals with Type 2 diabetes (T2D), based on a systematic review of various studies.
  • Out of 9380 studies, 416 met criteria, focusing on biomarkers, genetic markers, and risk score/models to find new prognostic factors.
  • Only 13 biomarkers improved prediction, with NT-proBNP showing the strongest evidence, while other markers like troponin-T and triglyceride-glucose also showed moderate promise, highlighting a need for further research in this area.
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Importance And Aims: Diabetic microvascular complications significantly impact morbidity and mortality. This review focuses on machine learning/artificial intelligence (ML/AI) in predicting diabetic retinopathy (DR), diabetic kidney disease (DKD), and diabetic neuropathy (DN).

Methods: A comprehensive PubMed search from 1990 to 2023 identified studies on ML/AI models for diabetic microvascular complications.

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Article Synopsis
  • Precision medicine is an evolving approach in healthcare that aims to enhance decision-making and health outcomes, particularly in managing diabetes, which poses serious health risks for millions globally.
  • The second international consensus report on precision diabetes medicine reviews current findings on prevention, diagnosis, treatment, and prognosis across different forms of diabetes, highlighting the potential for translating research into clinical practice.
  • The report also identifies knowledge gaps and sets out key milestones for better clinical implementation, emphasizing the need for standards addressing cost-effectiveness, health equity, and accessibility in treatment options.
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Importance: While the incidence of early-onset metastatic colorectal cancer (mCRC) has been increasing, studies on the age-related disparity in this group of patients are limited.

Objective: To evaluate the association of age with treatment-related adverse events and survival in patients with mCRC and explore the potential underlying factors.

Design, Setting, And Participants: This cohort study included 1959 individuals.

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Article Synopsis
  • * In a study of nearly 2,000 metabolites, researchers found significant associations that would have been missed if only plasma was analyzed, highlighting urine's unique contributions.
  • * Key findings include urine-specific mechanisms like glycerol transport and genetic links to metabolic diseases, emphasizing that examining metabolites in both plasma and urine offers deeper insights into kidney function and related health issues.
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Urinary extracellular vesicles (uEV) are a largely unexplored source of kidney-derived mRNAs with potential to serve as a liquid kidney biopsy. We assessed ∼200 uEV mRNA samples from clinical studies by genome-wide sequencing to discover mechanisms and candidate biomarkers of diabetic kidney disease (DKD) in Type 1 diabetes (T1D) with replication in Type 1 and 2 diabetes. Sequencing reproducibly showed >10,000 mRNAs with similarity to kidney transcriptome.

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Article Synopsis
  • The study reviews the potential of precision medicine to enhance cardiovascular disease risk prediction in people with type 2 diabetes by analyzing long-term research studies.
  • Out of 9380 studies, only 416 met the criteria for inclusion, with a focus on biomarkers, genetic markers, and risk models; 13 showed significant improvement in prediction.
  • The most effective predictors identified were NT-proBNP, troponin-T, TyG index, and Genetic Risk Score for Coronary Heart Disease, although the overall findings indicate a need for more rigorous research to establish practical clinical applications.
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Background: Chronic kidney disease (CKD) is a common comorbidity in people with diabetes mellitus, and a key risk factor for further life-threatening conditions such as cardiovascular disease. The early prediction of progression of CKD therefore is an important clinical goal, but remains difficult due to the multifaceted nature of the condition. We validated a set of established protein biomarkers for the prediction of trajectories of estimated glomerular filtration rate (eGFR) in people with moderately advanced chronic kidney disease and diabetes mellitus.

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Concerns have been raised regarding a potentially increased risk of cancer associated with treatment with glucagon-like peptide-1 (GLP-1) receptor agonists. Here, we explored whether fasting and oral glucose tolerance test post-challenge glucose-dependent insulinotropic peptide (GIP) and GLP-1 levels were associated with incident first cancer. Within the cardiovascular re-examination arm of the population-based Malmö Diet Cancer study (n = 3734), 685 participants with a previous cancer diagnosis were excluded, resulting in 3049 participants (mean age 72.

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Seaweeds are a rich source of nutritional and functional compounds, but they also accumulate heavy metals. Here, the chemical composition (crude protein, total lipids, Nitrogen Free Extract and fiber) and the presence of minerals (Na, K, Ca, Mg, P, Fe, Mn, Cu, Zn, Mo, Se) and unwanted elements (As, Cd, Hg, Pb, Ni, Cr, Al) were determined in eleven seaweeds from Chile. Depending on the species, a good contribution to the Recommended Dietary Allowance for K, Ca, Mg, Fe, Mn and Se was observed, and low Na/K ratios (<1.

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Background: This article investigates the impact of a non-mandatory and age-specific social distancing recommendation on isolation behaviours and disease outcomes in Sweden during the first wave of the coronavirus disease 2019 (COVID-19) pandemic (March to July 2020). The policy stated that people aged 70 years or older should avoid crowded places and contact with people outside the household.

Methods: We used a regression discontinuity design-in combination with self-reported isolation data from COVID Symptom Study Sweden (n = 96 053; age range: 39-79 years) and national register data (age range: 39-100+ years) on severe COVID-19 disease (hospitalization or death, n = 21 804) and confirmed cases (n = 48 984)-to estimate the effects of the policy.

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Invasive species such as seaweeds often have a broad tolerance, allowing them to colonize novel habitats. During invasion, also new epibacteria can be formed on seaweeds, which have important chemo-ecological effects. Since UV-radiation (UVR) is one of the main factors affecting seaweeds and their epibacteria, we tested its effect on intertidal and subtidal thalli of the invasive seaweed Codium fragile from three sites and monitored photosynthesis, antioxidant activity and epibacteria.

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The app-based COVID Symptom Study was launched in Sweden in April 2020 to contribute to real-time COVID-19 surveillance. We enrolled 143,531 study participants (≥18 years) who contributed 10.6 million daily symptom reports between April 29, 2020 and February 10, 2021.

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