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OBJECTIVES: The aim of this investigation was to evaluate the discrepancies between bioelectrical impedance analysis (BIA) and computed tomography (CT) in assessing skeletal muscle mass and identifying low muscle mass in patients with colorectal cancer. METHODS: This study recruited 137 patients with colorectal cancer from February 2028 to December 2023. CT scans were analyzed at the Lumbar 3 vertebral level to determine the area of skeletal muscle, which was then utilized to estimate whole-body skeletal muscle mass. [BIA] was also employed to measure skeletal muscle. Both skeletal muscle mass values [kg] were divided by height2 [m2] to calculate the skeletal muscle index [SMI, kg/m2], denoted as SMI-CT and SMI-BIA, respectively. RESULTS: The median age was 69.8 + 9.5 years, with the sex ratio being 88/49 [male/female]. Whereas more than one-third of the patients were classified as malnourished based on the Global Leadership Initiative on Malnutrition GLIM-CT criteria using L3-SMI [n = 36.5%], fewer patients were classified as malnourished based on GLIM-BIA using SMI-BIA [n = 19.0%]. According to the CT analysis [low SMI-L3], 52 [38.0%] patients were diagnosed as having poor muscle mass, whereas only 18 [13.1%] patients were identified as having low muscle mass using BIA [low SMIBIA]. The measured SMI showed a positive association with SMI-CT in all patients [r = 0.63, p < 0.001]. Using Bland-Altman evaluation, a significant mean bias of 0.45 + 1.41 kg/m2 [95% CI 0.21-0.70; p < 0.001] between SMI-BIA and SMI-CT was reported. Receiver operating characteristic (ROC) curves were generated to detect poor muscle mass using SMI-BIA with CT as the gold standard. The area under the curve (AUC) for SMI-BIA in identifying poor muscle mass was 0.714 (95% CI: 0.624-0.824), with a good cut-off value of 8.1 kg/m2, yielding a sensitivity of 68.3% and a specificity of 66.9%. CONCLUSIONS: BIA generally overestimates skeletal muscle mass in colorectal cancer patients when contrasted to CT. As a result, BIA may underestimate the prevalence of poor muscle mass and malnutrition according to the GLIM criteria in this patient population.

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INTRODUCTION: Lower respiratory tract infections (LRTI) remain a significant global cause of mortality and disability. Viruses constitute a substantial proportion of LRTI cases, with their pandemic potential posing a latent threat. After the SARS-CoV-2 pandemic, the resurgence of other respiratory viruses, including Influenza and Respiratory Syncytial Virus responsible for LRTI has been observed especially in susceptible populations. AREAS COVERED: This review details the inflammatory mechanisms associated with three primary respiratory viruses: SARS-CoV-2, Influenza, and Respiratory Syncytial Virus (RSV). The focus will be on elucidating the activation of inflammatory pathways, understanding cellular contributions to inflammation, exploring the role of interferon and induced cell death in the response to these pathogens and detailing viral evasion mechanisms. Furthermore, the distinctive characteristics of each virus will be explained. EXPERT OPINION: The study of viral pneumonia, notably concerning SARS-CoV-2, Influenza, and RSV, offers critical insights into infectious and inflammatory mechanisms with wide-ranging implications. Addressing current limitations, such as diagnostic accuracy and understanding host-virus interactions, requires collaborative efforts and investment in technology. Future research holds promise for uncovering novel therapeutic targets, exploring host microbiome roles, and addressing long-term sequelae. Integrating advances in molecular biology and technology will shape the evolving landscape of viral pneumonia research, potentially enhancing global public health outcomes.

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BACKGROUND: Host responses to infection are a major determinant of outcome. However, the existence of different response profiles in patients with endocarditis has not been addressed. Our objective was to apply transcriptomics to identify endotypes in patients with infective endocarditis. METHODS: Thirty-two patients with infective endocarditis were studied. Clinical data and a blood sample were collected at diagnosis, and RNA sequenced. Gene expression was used to identify two clusters (endocarditis endotypes EE1 and EE2). RNA sequencing was repeated after surgery. Transcriptionally active cell populations were identified by deconvolution. Differences between endotypes in clinical data, survival, gene expression and molecular pathways involved were assessed. Identified endotypes were recapitulated in a cohort of COVID19 patients. RESULTS: 18 and 14 patients were assigned to EE1 and EE2 respectively, with no differences in clinical data. Patients assigned to EE2 showed an enrichment in genes related to T-cell maturation and a decrease in the activation of the STAT pathway, with higher counts of active T-cells and lower counts of neutrophils. Fourteen patients (9 in EE1 and 5 in EE2) were submitted to surgery. Surgery in EE2 patients shifted gene expression towards a EE1-like profile. In-hospital mortality was higher in EE1 (56% vs 14%, p=0.027) with adjusted hazard ratio of 12.987 (95% confidence interval 3.356 - 50]. Translation of these endotypes to COVID19 and non-COVID septic patients yielded similar results in cell populations and outcome. CONCLUSIONS: Gene expression reveals two endotypes in patients with acute endocarditis, with different underlying pathogenetic mechanisms, response to surgery and outcome.

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The initially homogeneous epithelium of the early Drosophila embryo differentiates into regional subpopulations with different behaviours and physical properties that are needed for morphogenesis. The factors at top of the genetic hierarchy that control these behaviours are known, but many of their targets are not. To understand how proteins work together to mediate differential cellular activities, we studied in an unbiased manner the proteomes and phosphoproteomes of the three main cell populations along the dorso-ventral axis during gastrulation using mutant embryos that represent the different populations. We detected 6111 protein groups and 6259 phosphosites of which 3398 and 3433 respectively, were differentially regulated. The changes in phosphosite abundance did not correlate with changes in host protein abundance, showing phosphorylation to be a regulatory step during gastrulation. Hierarchical clustering of protein groups and phosphosites identified clusters that contain known fate determinants such as Doc1, Sog, Snail and Twist. The recovery of the appropriate known marker proteins in each of the different mutants we used validated the approach, but also revealed that two mutations that both interfere with the dorsal fate pathway, Toll10B and serpin27aex do this in very different manners. Diffused network analyses within each cluster point to microtubule components as one of the main groups of regulated proteins. Functional studies on the role of microtubules provide the proof of principle that microtubules have different functions in different domains along the DV axis of the embryo.

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Abstract Background Skin modification through tattoos is as old as humanity itself. However, this trend is on the rise, and with the use of different types of pigments and application practices, both cutaneous and systemic complications can arise. Adverse reactions can be grouped into five classes: inflammatory, infectious, neoplastic, aesthetic, and miscellaneous. On histopathology, inflammatory reactions can exhibit a lichenoid pattern or present as spongiotic dermatitis, granulomatous reactions, pseudolymphoma, pseudoepitheliomatous hyperplasia, or scleroderma/morphea-like changes. This article reviews tattoo complications, including their clinical and histopathological characteristics. Methods An open search was conducted on PubMed using the terms "tattoo", "complications", and "skin". No limits were set for period, language, or publication type of the articles. Results Reactions to tattoos are reported in up to 67% of people who get tattooed, with papulonodular and granulomatous reactions being the most common. Some neoplastic complications have been described, but their causality is still debated. Any pigment can cause adverse reactions, although red ink is more frequently associated with them. Patients with pre-existing dermatoses may experience exacerbation or complications of their diseases when getting tattoos; therefore, this procedure is not recommended for this patient group. Conclusions Dermatological consultation is recommended before getting a tattoo, as well as a histopathological examination in case of complications. In patients who develop cutaneous inflammatory reactions following tattooing, additional studies are recommended to investigate systemic diseases such as sarcoidosis, pyoderma gangrenosum, atopic dermatitis, and neoplasms. It is important for physicians to be trained in providing appropriate care in case of complications.

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Background: We aimed to determine the effectiveness of switching to bictegravir in maintaining an undetectable viral load (<50 copies/mL) among people with HIV (PWH) as compared with continuing dolutegravir-, efavirenz-, or raltegravir-based antiretroviral therapy using nationwide observational data from Mexico. Methods: We emulated 3 target trials comparing switching to bictegravir vs continuing with dolutegravir, efavirenz, or raltegravir. Eligibility criteria were PWH aged ≥16 years with a viral load <50 copies/mL and at least 3 months of current antiretroviral therapy (dolutegravir, efavirenz, or raltegravir) between July 2019 and September 2021. Weekly target trials were emulated during the study period, and individuals were included in every emulation if they continued to be eligible. The main outcome was the probability of an undetectable viral load at 3 months, which was estimated via an adjusted logistic regression model. Estimated probabilities were compared via differences, and 95% CIs were calculated via bootstrap. Outcomes were also ascertained at 12 months, and sensitivity analyses were performed to test our analytic choices. Results: We analyzed data from 3 028 619 PWH (63 581 unique individuals). The probability of an undetectable viral load at 3 months was 2.9% (95% CI, 1.9%-3.8%), 1.3% (95% CI, .9%-1.6%), and 1.2% (95% CI, .8%-1.7%) higher when switching to bictegravir vs continuing with dolutegravir, efavirenz, and raltegravir, respectively. Similar results were observed at 12 months and in other sensitivity analyses. Conclusions: Our findings suggest that switching to bictegravir could be more effective in maintaining viral suppression than continuing with dolutegravir, efavirenz, or raltegravir.

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Introduction: The Vaccines for Children (VFC) program was established in 1994 to provide recommended vaccines at no cost to eligible children and help ensure that all U.S. children are protected from life-threatening vaccine-preventable diseases. Methods: CDC analyzed data from the 2012-2022 National Immunization Survey-Child (NIS-Child) to assess trends in vaccination coverage with ≥1 dose of measles, mumps, and rubella vaccine (MMR), 2-3 doses of rotavirus vaccine, and a combined 7-vaccine series, by VFC program eligibility status, and to examine differences in coverage among VFC-eligible children by sociodemographic characteristics. VFC eligibility was defined as meeting at least one of the following criteria: 1) American Indian or Alaska Native; 2) insured by Medicaid, Indian Health Service (IHS), or uninsured; or 3) ever received at least one vaccination at an IHS-operated center, Tribal health center, or urban Indian health care facility. Results: Overall, approximately 52.2% of U.S. children were VFC eligible. Among VFC-eligible children born during 2011-2020, coverage by age 24 months was stable for ≥1 MMR dose (88.0%-89.9%) and the combined 7-vaccine series (61.4%-65.3%). Rotavirus vaccination coverage by age 8 months was 64.8%-71.1%, increasing by an average of 0.7 percentage points annually. Among all children born in 2020, coverage was 3.8 (≥1 MMR dose), 11.5 (2-3 doses of rotavirus vaccine), and 13.8 (combined 7-vaccine series) percentage points lower among VFC-eligible than among non-VFC-eligible children. Conclusions and implications for public health practice: Although the VFC program has played a vital role in increasing and maintaining high levels of childhood vaccination coverage for 30 years, gaps remain. Enhanced efforts must ensure that parents and guardians of VFC-eligible children are aware of, have confidence in, and are able to obtain all recommended vaccines for their children.

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The autoimmune/inflammatory syndrome induced by adjuvants (ASIA) encompasses various autoimmune conditions triggered by exposure to substances with adjuvant activity. Despite its potential relevance to public health, global scientific production on ASIA syndrome is significantly limited. This knowledge gap underscores the need for a comprehensive bibliometric assessment to understand global research in this field. Therefore, this article aims to conduct a bibliometric analysis to identify and evaluate research trends related to ASIA syndrome worldwide. A Scopus search identified scientific documents published between 2010 and 2022. A total of 2,133 articles meeting inclusion criteria were selected and analyzed for scientific production, authors, and institutions. Two-hundred fifty six documents were analyzed, mostly journal articles with multiple authors. The year with the highest publications was 2023, marking a notable increase since 2021. Italy and Israel had the most documents and citations, correlating with authors Yehuda Shoenfeld (Israel) and Carlo Perricone (Italy). Standout journals are "The Journal of Immunologic Research" and "Lupus." Relevant affiliations include Tel-Aviv University and the National Autonomous University of Mexico. This article identifies and analyzes scientific trends associated with ASIA syndrome. Despite increased publications, this field remains controversial and lacks full acceptance within the medical and scientific community, as evidenced by limited scientific production compared to other pathologies. These findings may motivate researchers to generate impactful publications, contributing to the global knowledge expansion on this syndrome.

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INTRODUCTION AND OBJECTIVES: Transthyretin cardiac amyloidosis (ATTR-CA) is a frequent cause of heart failure with preserved ejection fraction (HFpEF). This study sought to determine the prevalence of ATTR-CA among HFpEF patients in a multicenter nationwide study. METHODS: Consecutive ambulatory or hospitalized patients aged ≥ 50 years with HFpEF and left ventricle hypertrophy ≥ 12mm were studied at 20 Spanish hospitals. Screening for cardiac amyloidosis was initiated according to the usual clinical practice of each center. Positive scintigraphs were centrally analyzed. RESULTS: 422 patients were included, of whom 387 underwent further screening for cardiac amyloidosis. A total of 65 patients (16.8%) were diagnosed with ATTR-CA, none below 75 years. There was an increase of prevalence with age. Of them, 60% were male, with a mean age of 85.3±5.2 years, mean left ventricle ejection fraction of 60.3±7.6% and a mean maximum left ventricle wall thickness of 17.2 [12-25] mm. Most of the patients were New York Heart Association class II (48.4%) or III (46.8%). Besides being older than non-ATTR-CA patients, ATTR-CA patients had higher median NT-proBNP levels (3801 [2266-7132] vs 2391 [1141-4796] pg/mL; P=.003). There was no statistical difference in the prevalence of ATTR-CA by sex (19.7% for men and 13.8% for women, P=.085). A ∼7% (4/56) of the patients exhibited a genetic variant (ATTRv). CONCLUSIONS: This multicenter nationwide study found a prevalence of 16.8%, confirming that ATTR-CA is a significant contributor to HFpEF in male and female patients with left ventricle hypertrophy and more than 75 years.

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BACKGROUND:  Endoscopic retrograde cholangiopancreatography (ERCP) is the preferred technique for treating pathologies of the bile duct. It has been suggested that this procedure, combined with sphincterotomy, may influence the subsequent development of long-term complications. The main objective of this study was to determine the long-term complications of biliopancreatic disease after ERCP and their potential association with the development of biliopancreatic neoplasms. METHODS:  This retrospective cohort study included 576 patients who underwent ERCP (referred to as index ERCP) with sphincterotomy for benign biliary disease, with a minimum follow-up period of more than 2 years. RESULTS:  The incidence of long-term benign and neoplastic pathologies after ERCP was analyzed. The most common findings were recurrence of choledocholithiasis in 70 patients (12.1%), cholangitis "sine materia" in 27 patients (4.7%), and acute pancreatitis in 8 patients (1.4%). Eight patients (1.4%) developed hepatobiliopancreatic neoplasms, including 4 cases of pancreatic neoplasms (0.7%), 1 cholangiocarcinoma (0.2%), 1 ampulloma (0.2%), and 2 intrahepatic neoplasms (0.3%). Multivariate analysis revealed that factors such as age over 50 years, previous biliary surgery, diversion of the bile duct (BD) to the digestive tract, dilation of the BD, stent placement, biopsy, and cholecystectomy were factors associated with an increased risk of long-term benign complications. CONCLUSION:  Endoscopic retrograde cholangiopancreatography with sphincterotomy is associated with an increased long-term risk of subsequent benign biliopancreatic disease. However, our data do not allow us to establish a direct relationship with the development of biliopancreatic neoplasms.

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Severe lung injury requiring mechanical ventilation may lead to secondary fibrosis. Senescence, a cell response characterized by cell cycle arrest and a shift towards a proinflammatory/profibrotic phenotype, is one of the involved mechanisms. Here, we explore the contribution of mechanical stretch as trigger of senescence of the respiratory epithelium and its link with fibrosis. Human lung epithelial cells and fibroblasts were exposed in vitro to mechanical stretch, and senescence assessed. In addition, fibroblasts were exposed to culture media preconditioned by senescent epithelial cells and their activation was studied. Transcriptomic profiles from stretched, senescent epithelial cells and activated fibroblasts were combined to identify potential activated pathways. Finally, the senolytic effects of digoxin were tested in these models. Mechanical stretch induced senescence in lung epithelial cells, but not in fibroblasts. This stretch-induced senescence has specific features compared to senescence induced by doxorubicin. Fibroblasts were activated after exposure to supernatants conditioned by epithelial senescent cells. Transcriptomic analyses revealed notch signaling as a potential responsible for the epithelial-mesenchymal crosstalk, as blockade of this pathway inhibits fibroblast activation. Treatment with digoxin reduced the percentage of senescent cells after stretch and ameliorated the fibroblast response to preconditioned media. These results suggest that lung fibrosis in response to mechanical stretch may be caused by the paracrine effects of senescent cells. This pathogenetic mechanism can be pharmacologically manipulated to improve lung repair.

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The integration of Artificial Intelligence (AI) in healthcare signifies a substantial shift, offering benefits to patients and healthcare systems while also introducing new risks. The emphasis on patient safety and performance standards is pivotal, especially with the European Union's strides towards regulating AI through the AI Act. This act focuses on classifying AI systems based on risk levels, mandating stringent requirements for high-risk AI, enhancing transparency, and ensuring ethics in AI applications. The concept of an "AI passport" is introduced as a living document detailing the AI system's purpose, ethical declarations, training, evaluation, and potential biases. This passport aims to enhance transparency and safety in medical AI applications, serving as a comprehensive record for patients, clinicians, and stakeholders. The AI passport, structured in JSON format, encapsulates key information about the AI system as a mechanism for continuous performance evaluation and transparency. This initiative may represent a significant step towards mitigating the risks associated with AI in healthcare, emphasizing the importance of accountability, transparency, and patient safety in the development and application of AI technologies.

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INTRODUCTION: Inherent variations between inter-center data can undermine the robustness of segmentation models when applied at a specific center (dataset shift). We investigated whether specialized center-specific models are more effective compared to generalist models based on multi-center data, and how center-specific data could enhance the performance of generalist models within a particular center using a fine-tuning transfer learning approach. For this purpose, we studied the dataset shift at center level and conducted a comparative analysis to assess the impact of data source on glioblastoma segmentation models. METHODS & MATERIALS: The three key components of dataset shift were studied: prior probability shift-variations in tumor size or tissue distribution among centers; covariate shift-inter-center MRI alterations; and concept shift-different criteria for tumor segmentation. BraTS 2021 dataset was used, which includes 1251 cases from 23 centers. Thereafter, 155 deep-learning models were developed and compared, including 1) generalist models trained with multi-center data, 2) specialized models using only center-specific data, and 3) fine-tuned generalist models using center-specific data. RESULTS: The three key components of dataset shift were characterized. The amount of covariate shift was substantial, indicating large variations in MR imaging between different centers. Glioblastoma segmentation models tend to perform best when using data from the application center. Generalist models, trained with over 700 samples, achieved a median Dice score of 88.98%. Specialized models surpassed this with 200 cases, while fine-tuned models outperformed with 50 cases. CONCLUSIONS: The influence of dataset shift on model performance is evident. Fine-tuned and specialized models, utilizing data from the evaluated center, outperform generalist models, which rely on data from other centers. These approaches could encourage medical centers to develop customized models for their local use, enhancing the accuracy and reliability of glioblastoma segmentation in a context where dataset shift is inevitable.

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Alcohol use disorder (AUD) is a highly prevalent public health problem. The ghrelin system has been identified as a potential target for therapeutic intervention for AUD. Previous work showed that systemic administration of the growth hormone secretagogue receptor (GHSR) antagonist DLys reduced alcohol intake and preference in male mice. Yet, it is unclear whether central or peripheral GHSRs mediated these effects. We hypothesized that alcohol consumption is driven by central GHSRs and addressed this hypothesis by testing the effects of central administration of DLys. Male C57BL/6J mice consumed alcohol in a two-bottle choice procedure (10% ethanol versus water). DLys (2 nmol) was administered intracerebroventricularly for 7 days to examine alcohol intake and preference. DLys decreased alcohol intake and preference but had no effect on food intake. The effects on alcohol intake and preference persisted after several administrations, indicating lack of tolerance to DLys' effects. These results suggest that central administration of DLys is sufficient to reduce alcohol drinking and that DLys remains effective after several administrations when given intracerebroventricularly. Moreover, this work suggests that the effects of intracerebroventricularly administered DLys are specific to alcohol and do not generalize to other calorie-driven behaviors.

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Cutaneous squamous cell carcinoma is the second most common neoplasm among non-melanoma skin cancers. When associated with perineural invasion of the cranial nerves, with clinical features often observed in trigeminal and facial nerves due to their cutaneous extension, it may lead to a worse prognosis. This paper introduces a rare case of an 81-year-old male, with a history of a moderately differentiated invasive carcinoma of the left frontal region with perineural invasion on the left trigeminal cranial nerve. The case underscores the aggressive nature of the intraneural infiltration by squamous cell carcinoma and the challenges in managing such advanced malignancies.

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INTRODUCTION: Candidates for bariatric surgery may have psychiatric disorders that must be evaluated. The aim of this study was to describe the psychological state and quality of life (QoL) of patients with obesity awaiting bariatric surgery prior to surgical procedure and 1 year after surgery. METHODS: A longitudinal retrospective observational study was carried out in 71 patients awaiting bariatric surgery. Anthropometric data were collected, and the following were evaluated before and 1 year after the intervention: 44 patients were evaluated to rule out personality disorder, using the Salamanca Questionnaire of Personality Disorders; eating disorder, with the Bulimia Test of Edinburgh (BITE); depression, using the Beck Depression Inventory (BDI); and 71 patients were evaluated QoL, with the "36-Item Short Form Health Survey" (SF-36). RESULTS: A total of 34.1% (n = 15) of patients presented personality disorder (group B most frequent). A total of 31.8% (n = 14) obtained scores suggesting anomalous food behavior (6.8%, n = 3 severe). According to the BDI, 43.2% (n = 19) showed low mood prior to the intervention. Lower scores were obtained when evaluating QoL for physical functioning (physical function: 56.81 ± 24.9; physical problems: 66.76 ± 37.64). One year after the intervention, QoL improved in those patients who underwent the sleeve gastrectomy (SG). CONCLUSIONS: Patients with bariatric surgery more frequently presented with type B and C personalities. One year after bariatric surgery, an improvement in QoL test was observed. Patients who underwent SG technique showed better mean scores than those after biliopancreatic diversion.

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INTRODUCTION: Information about PCSK9 gene variations and its association with cardiovascular (CV) disease is controversial. We aimed to evaluate 3 reported polymorphisms in PSCK9 in a cohort of young patients with myocardial infarction with ST segment elevation (STEMI). METHODS: Retrospective study of consecutive patients with premature STEMI (2018-2023). 216 patients with STEMI due atherothrombotic coronary artery disease (CAD), confirmed by coronary angiogram, were included. We genotyped 3 polymorphisms in PCSK9 (rs12117661, rs2483205, rs505151) in 207 patients (DNA unavailable in 9) and a control group (N = 200). RESULTS: Mean age 49.4 ± 6,6 years (82.4% men). Genotypes frequencies distribution in patient's and control's cohorts did not deviate from the expected by Hardy-Weinberg equilibrium and there were no significant differences between patients and controls. Among patients, we did not find any association between PSCK9 genotypes and clinical variables (gender, age, CV risk factors, cholesterol levels, family history of premature CAD or number of coronary arteries affected). CONCLUSION: We did not find any association between PSCK9 genotypes (RS12117661, RS2483205 and RS505151) and any CV risk factors or the extent of CAD in a cohort of patients with premature STEMI. There were not differences in the genotype distribution between patients and controls.

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This work addresses the challenge of classifying multiclass visual EEG signals into 40 classes for brain-computer interface applications using deep learning architectures. The visual multiclass classification approach offers BCI applications a significant advantage since it allows the supervision of more than one BCI interaction, considering that each class label supervises a BCI task. However, because of the nonlinearity and nonstationarity of EEG signals, using multiclass classification based on EEG features remains a significant challenge for BCI systems. In the present work, mutual information-based discriminant channel selection and minimum-norm estimate algorithms were implemented to select discriminant channels and enhance the EEG data. Hence, deep EEGNet and convolutional recurrent neural networks were separately implemented to classify the EEG data for image visualization into 40 labels. Using the k-fold cross-validation approach, average classification accuracies of 94.8% and 89.8% were obtained by implementing the aforementioned network architectures. The satisfactory results obtained with this method offer a new implementation opportunity for multitask embedded BCI applications utilizing a reduced number of both channels (<50%) and network parameters (<110 K).

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