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Association between Helicobacter pylori infection,mismatch repair,HER2 and tumor-infiltrating lymphocytes in gastric cancer

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World Journal of Gastrointestinal Oncology 2024年第6期16卷 2487-2503页

作者： Carlos A Castaneda Miluska Castillo Luis A Bernabe Joselyn Sanchez Matteo Fassan Katherine Tello Ignacio Ivan Wistuba Ivan Chavez Passiuri Eloy Ruiz Juvenal Sanchez fernando barreda Daniel Valdivia Yaqueline Bazan Milagros Abad-Licham Claudio Mengoa Hugo Fuentes Paola Montenegro Ebert Poquioma Raul Alatrista Claudio J Flores Luis Taxa Faculty of Health Sciences Universidad Cientifica del SurLima 15038Peru GECO PERU Grupo de Estudios Clinicos Oncologicos del PeruLima 15038Peru Department of Research Instituto Nacional de Enfermedades NeoplasicasLima 15038Peru Faculty of Human Medicine Universidad Ricardo PalmaLima 15039Peru Department of Medicine Surgical Pathology&Cytopathology UnitUniversity of PaduaPadua 35121Italy Department of Translational Molecular Pathology The University of Texas MD Anderson Cancer CenterHoustonTX 77030United States Department of Abdominal Surgery Instituto Nacional de Enfermedades NeoplasicasLima 15038Peru Department of Pathology Instituto Nacional de Enfermedades NeoplasicasLima 15038Peru Department of Medical Specialties Instituto Nacional de Enfermedades NeoplasicasLima 15038Peru Department of Pathology Instituto Regional de Enfermedades Neoplasicas del NorteTrujillo 13001Peru Faculty of Human Medicine Universidad Privada Antenor OrregoTrujillo 13008Peru Department of Surgery Instituto Regional de Enfermedades Neoplasicas del SurArequipa 04002Peru Department of Medical Oncology Instituto Nacional de Enfermedades NeoplasicasLima 15038Peru Department of Epidemiology Instituto Nacional de Enfermedades NeoplasicasLima 15038Peru Unidad de Investigación Básica y Traslacional Oncosalud-AUNALima 15038Peru Faculty of Medicine Universidad San Martin de PorresLima 15008Peru

BACKGROUND The influence of Helicobacter-pylori(H.pylori)infection and the characteristics of gastric cancer(GC)on tumor-infiltrating lymphocyte(TIL)levels has not been extensively studied.Analysis of infiltrating-immune-cell subtypes as well as survival is necessary to obtain comprehensive information.AIM To determine the rates of deficient mismatch-repair(dMMR),HER2-status and H.pylori infection and their association with TIL levels in GC.METHODS Samples from 503 resected GC tumors were included and TIL levels were evaluated following the international-TILs-working-group recommendations with assessment of the intratumoral(IT),stromal(ST)and invasive-border(IB)compartments.The density of CD3,CD8 and CD163 immune cells,and dMMR and HER2-status were determined by immunohistochemistry(IHC).H.pylori infection was evaluated by routine histology and quantitative PCR(qPCR)in a subset of samples.RESULTS dMMR was found in 34.4%,HER2+in 5%and H.pylori-positive in 55.7%of samples.High IT-TIL was associated with grade-3(P=0.038),while ST-TIL with grade-1(P<0.001),intestinal-histology(P<0.001)and no-recurrence(P=0.003).dMMR was associated with high TIL levels in the ST(P=0.019)and IB(P=0.01)compartments,and STCD3(P=0.049)and ST-CD8(P=0.05)densities.HER2-was associated with high IT-CD8(P=0.009).H.pylorinegative was associated with high IT-TIL levels(P=0.009)when assessed by routine-histology,and with high TIL levels in the 3 compartments(P=0.002-0.047)and CD8 density in the IT and ST compartments(P=0.001)when assessed by qPCR.A longer overall survival was associated with low IT-CD163(P=0.003)and CD8/CD3(P=0.001 in IT and P=0.002 in ST)and high IT-CD3(P=0.021),ST-CD3(P=0.003)and CD3/CD163(P=0.002).CONCLUSION TIL levels were related to dMMR and H.pylori-negativity.Low CD8/CD3 and high CD163/CD3 were associated with lower recurrence and longer survival.

关键词： Lymphocytes Macrophages Gastric cancer Helicobacter pylori HER2 Mismatch repair

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Exploring multifaceted factors in chronic kidney disease risk: A comprehensive analysis of biochemistry, lifestyle, and inflammation in elderly Chinese individuals

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World Journal of Clinical Cases 2024年第5期12卷 1033-1035页

作者： fernando Cardona Unitat de Genètica Molecular Instituto de Biomedicina de Valencia–CSICValencia 46010Spain Centro de investigación Biomédica en Red Enfermedades Neurodegenerativas(CIBERNED) Instituto de Salud Carlos IIIMadrid 28029Spain Departamento de Biotecnología Escuela Técnica Superior de Ingeniería Agronómica y del Medio Natural(ETSIAMN)Univeristat Politècnica de ValenciaValencia 46022Spain

This letter praises a recent article in the World Journal of Clinical Cases(Roles of biochemistry data,lifestyle,and inflammation in identifying abnormal renal function in old Chinese),examining factors affecting abnormal renal function in elderly Chinese using advanced machine learning.It highlights the importance of uric acid,age,hemoglobin,body mass index,sport hours,and systolic blood pressure.The study's holistic approach,integrating lifestyle and inflammation,offers a nuanced understanding of chronic kidney disease risk factors.The letter suggests exploring mechanistic pathways of hyperuricemia,the link between anemia and renal function,and the connection between body mass index and estimated glomerular filtration rate.It advocates investigating physical activity's impact on renal health and the independent effects of blood pressure.The study significantly contributes to chronic kidney disease understanding,proposing avenues for further exploration and interventions.Commendations are extended to the authors and the journal.

关键词： Biochemistry data Lifestyle Machine learning Renal function

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Predicting outcomes after kidney transplantation: Can Pareto’s rules help us to do so?

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World Journal of Transplantation 2024年第1期14卷 9-11页

作者： fernando M Gonzalez Francisca Gonzalez Cohens Department of Nephrology Faculty of MedicineUniversidad de ChileSantiago 7500922Chile Web Intelligence Centre Faculty of Physics and Mathematical SciencesSantiago 7500922Chile

Kidney transplantation is the best option for kidney replacement therapy,even considering that most of the times the grafts do not survive as long as their recipients.In the Khalil et al's experience,published in this issue of the Journal,they analyze their second kidney graft survival and describe those significant predictors of early loss.This editorial comments on the results and put in perspective that most of the times,long-term graft survival could be inadvertently jeopardized if the immunosuppressive therapy is reduced or withdrawn for any reason,and that it could happen frequently if the transplant physician intends to innovate with the clinical care without proper evidence-based data.

关键词： Kidney transplantation Graft survival Acute rejection Interstitial fibrosis and tubular atrophy Immunosuppression

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A Review of State-of-the-art Flexible Power Point Tracking Algorithms in Photovoltaic Systems for Grid Support:Classification and Application

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Journal of Modern Power Systems and Clean Energy 2024年第1期12卷 1-21页

作者： Mina Haghighat Mehdi Niroomand Hossein Dehghani Tafti Christopher D.Townsend Tyrone fernando the Department of Electrical Engineering University of IsfahanIsfahanIran the Department of Electrical Electronic and Computer EngineeringUniversity of Western AustraliaCrawley WA 6009Australia

To maximize conversion efficiency,photovoltaic(PV)systems generally operate in the maximum power point tracking(MPPT)mode.However,due to the increasing penetra tion level of PV systems,there is a need for more developed control functions in terms of frequency support services and voltage control to maintain the reliability and stability of the power grid.Therefore,flexible active power control is a manda tory task for grid-connected PV systems to meet part of the grid requirements.Hence,a significant number of flexible pow er point tracking(FPPT)algorithms have been introduced in the existing literature.The purpose of such algorithms is to real ize a cost-effective method to provide grid support functional ities while minimizing the reliance on energy storage systems.This paper provides a comprehensive overview of grid support functionalities that can be obtained with the FPPT control of PV systems such as frequency support and volt-var control.Each of these grid support functionalities necessitates PV sys tems to operate under one of the three control strategies,which can be provided with FPPT algorithms.The three control strate gies are classified as:①constant power generation control(CP GC),②power reserve control(PRC),and③power ramp rate control(PRRC).A detailed discussion on available FPPT algo rithms for each control strategy is also provided.This paper can serve as a comprehensive review of the state-of-the-art FPPT algorithms that can equip PV systems with various grid support functionalities.

关键词： Maximum power point tracking(MPPT) flexi ble power point tracking(FPPT) power reserve control(PRC) power ramp rate control(PRRC) low voltage ride-through(LVRT) constant power generation(CPG)

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Going deep:Roots,carbon,and analyzing subsoil carbon dynamics

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Molecular Plant 2024年第1期17卷 1-3页

作者： Ezhilmathi Angela Joseph fernando Michael Selvaraj Yusaku Uga Wolfgang Busch Hunt Bowers Joe Tohme Alliance of Bioversity International and CIAT Km 17 Recta Cali-PalmiraAprtado Aereo 6713Cali 763537Colombia National Institute of Agrobiological Sciences(NIAS) TsukubaIbaraki 305-0856Japan Salk Institute for Biological Studies 10010 N Torrey Pines RoadLa JollaCA 92037USA Earth Optics Suite 840ArlingtonVA 22202USA

Agricultural practices currently contribute to the emission of approximately 10%–12%atmospheric greenhouse gasses,with tillage agriculture accelerating soil disruption and carbon dioxide release.Nevertheless,various options exist,such as converting new lands for agriculture,promoting healthier plant-based diets,adopting advanced management technologies,and minimizing food loss.However,these measures alone are insufficient to ensure environmental sustainability within planetary boundaries.

关键词： soil measures carbon

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Metabolomics for the diagnosis of bladder cancer: A systematic review

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Asian Journal of Urology 2024年第2期11卷 221-241页

作者： Herney Andrés García-Perdomo Angélica María Dávila-Raigoza fernando Korkes Division of Urology/Urooncology Department of SurgerySchool of MedicineUniversidad del ValleCaliColombia UROGIV Research Group School of MedicineUniversidad del ValleCaliColombia Urologic Oncology Division of UrologyABC Medical SchoolSao PauloBrazil

Objective: Metabolomics has been extensively utilized in bladder cancer (BCa) research, employing mass spectrometry and nuclear magnetic resonance spectroscopy to compare various variables (tissues, serum, blood, and urine). This study aimed to identify potential biomarkers for early BCa diagnosis.Methods: A search strategy was designed to identify clinical trials, descriptive and analytical observational studies from databases such as Medline, Embase, Cochrane Central Register of Controlled Trials, and Latin American and Caribbean Literature in Health Sciences. Inclusion criteria comprised studies involving BCa tissue, serum, blood, or urine profiling using widely adopted metabolomics techniques like mass spectrometry and nuclear magnetic resonance. Primary outcomes included description of metabolites and metabolomics profiling in BCa patients and the association of metabolites and metabolomics profiling with BCa diagnosis compared to control patients. The risk of bias was assessed using the Quality Assessment of Studies of Diagnostic Accuracy.Results: The search strategy yielded 2832 studies, of which 30 case-control studies were included. Urine was predominantly used as the primary sample for metabolite identification. Risk of bias was often unclear inpatient selection, blinding of the index test, and reference standard assessment, but no applicability concerns were observed. Metabolites and metabolomics profiles associated with BCa diagnosis were identified in glucose, amino acids, nucleotides, lipids, and aldehydes metabolism.Conclusion: The identified metabolites in urine included citric acid, valine, tryptophan, taurine, aspartic acid, uridine, ribose, phosphocholine, and carnitine. Tissue samples exhibited elevated levels of lactic acid, amino acids, and lipids. Consistent findings across tissue, urine, and serum samples revealed downregulation of citric acid and upregulation of lactic acid, valine, tryptophan, taurine, glutamine, aspartic acid, uridine, ribose, and phosphocholine.

关键词： Metabolite Metabolomics Bladder cancer Metabolomicsprofile

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Unveiling the brain’s symphony:exploring the necessity and sufficiency of neural networks in behavior control

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Neural Regeneration Research 2025年第1期20卷 186-187页

作者： fernando Jose Bustos Instituto de Ciencias Biomedicas Facultad de Medicina y Facultad de Ciencias de la VidaUniversidad Andres BelloSantiagoChile Millennium Nucleus of Neuroepigenetics and Plasticity(EpiNeuro) SantiagoChile

Since the pioneering work by Broca and Wernicke in the 19th century,who examined individuals with brain lesions to associate them with specific behaviors,it was evident that behaviors are complex and cannot be fully attributable to specific brain areas alone.Instead,they involve connectivity among brain areas,whether close or distant.At that time,this approach was considered the optimal way to dissect brain circuitry and function.These pioneering efforts opened the field to explore the necessity or sufficiency of brain areas in controlling behavior and hence dissecting brain function.However,the connectivity of the brain and the mechanisms through which various brain regions regulate specific behaviors,either individually or collaboratively,remain largely elusive.Utilizing animal models,researchers have endeavored to unravel the necessity or sufficiency of specific brain areas in influencing behavior;however,no clear associations have been firmly established.

关键词： behavior connectivity neural

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Predicting grain size-dependent superplastic properties in friction stir processed ZK30 magnesium alloy with machine learning methods

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Journal of Magnesium and Alloys 2024年第5期12卷 1931-1943页

作者： Farid Bahari-Sambran fernando Carre?o C.M.Cepeda-Jiménez Alberto Orozco-Caballero Physical Metallurgy Department CENIM-CSIC Department of Mechanical Engineering Chemistry and Industrial Design Polytechnic University of Madrid

The aim of this work is to predict, for the first time, the high temperature flow stress dependency with the grain size and the underlaid deformation mechanism using two machine learning models, random forest（RF） and artificial neural network（ANN）. With that purpose, a ZK30 magnesium alloy was friction stir processed（FSP） using three different severe conditions to obtain fine grain microstructures（with average grain sizes between 2 and 3 μm） prone to extensive superplastic response. The three friction stir processed samples clearly deformed by grain boundary sliding（GBS） deformation mechanism at high temperatures. The maximum elongations to failure, well over 400% at high strain rate of 10-2s-1, were reached at 400 ℃ in the material with coarsest grain size of 2.8 μm, and at 300 ℃ for the finest grain size of 2 μm. Nevertheless, the superplastic response decreased at 350 ℃ and 400 ℃ due to thermal instabilities and grain coarsening, which makes it difficult to assess the operative deformation mechanism at such temperatures. This work highlights that the machine learning models considered, especially the ANN model with higher accuracy in predicting flow stress values, allow determining adequately the superplastic creep behavior including other possible grain size scenarios.

关键词： Machine learning Artificial intelligence Magnesium alloys Superplasticity Friction stir processing Grain coarsening

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Stochastic seismic inversion and Bayesian facies classification applied to porosity modeling and igneous rock identification

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Petroleum Science 2024年第2期21卷 918-935页

作者： Fábio Júnior Damasceno Fernandes Leonardo Teixeira Antonio fernando Menezes Freire Wagner Moreira Lupinacci Exploratory Interpretation and Reservoir Characterization Group(GIECAR) Department of Geology and GeophysicsFederal Fluminense UniversityNiter oiRJ24210-346Brazil Petrobras Rio de JaneiroRJ20231-030Brazil National Institute of Science and Technology of Petroleum Geophysics(INCT-GP/CNPQ) Niter oiRJ24210-346Brazil

We apply stochastic seismic inversion and Bayesian facies classification for porosity modeling and igneous rock identification in the presalt interval of the Santos Basin. This integration of seismic and well-derived information enhances reservoir characterization. Stochastic inversion and Bayesian classification are powerful tools because they permit addressing the uncertainties in the model. We used the ES-MDA algorithm to achieve the realizations equivalent to the percentiles P10, P50, and P90 of acoustic impedance, a novel method for acoustic inversion in presalt. The facies were divided into five: reservoir 1,reservoir 2, tight carbonates, clayey rocks, and igneous rocks. To deal with the overlaps in acoustic impedance values of facies, we included geological information using a priori probability, indicating that structural highs are reservoir-dominated. To illustrate our approach, we conducted porosity modeling using facies-related rock-physics models for rock-physics inversion in an area with a well drilled in a coquina bank and evaluated the thickness and extension of an igneous intrusion near the carbonate-salt interface. The modeled porosity and the classified seismic facies are in good agreement with the ones observed in the wells. Notably, the coquinas bank presents an improvement in the porosity towards the top. The a priori probability model was crucial for limiting the clayey rocks to the structural lows. In Well B, the hit rate of the igneous rock in the three scenarios is higher than 60%, showing an excellent thickness-prediction capability.

关键词： Stochastic inversion Bayesian classification Porosity modeling Carbonate reservoirs Igneous rocks

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Time-Series Embeddings from Language Models: A Tool for Wind Direction Nowcasting

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Journal of Meteorological Research 2024年第3期38卷 558-569页

作者： Décio ALVES Fábio MENDON?A Sheikh Shanawaz MOSTAFA fernando MORGADO-DIAS University of Madeira Campus Universitário da Penteada 9020-105 Funchal Interactive Technologies Institute/Laboratory for Robotics and Engineering Systems and Agência Regional para o Desenvolvimento da Investiga??o Tecnologia e Inova??o Edif.Madeira Tecnopolo

Wind direction nowcasting is crucial in various sectors, particularly for ensuring aviation operations and safety. In this context, the TELMo(Time-series Embeddings from Language Models) model, a sophisticated deep learning architecture, has been introduced in this work for enhanced wind-direction nowcasting. Developed by using three years of data from multiple stations in the complex terrain of an international airport, TELMo incorporates the horizontal u(east–west) andv (north–south) wind components to significantly reduce forecasting errors. On a day with high wind direction variability, TELMo achieved mean absolute error values of 5.66 for 2-min, 10.59 for 10-min, and 14.79 for20-min forecasts, processed within a swift 9-ms/step timeframe. Standard degree-based analysis, in comparison, yielded lower performance, emphasizing the effectiveness of the u and v components. In contrast, a Vanilla neural network, representing a shallow-learning approach, underperformed in all analyses, highlighting the superiority of deep learning methodologies in wind direction nowcasting. TELMo is an efficient model, capable of accurately forecasting wind direction for air traffic operations, with an error less than 20° in 97.49% of the predictions, aligning with recommended international thresholds. This model design enables its applicability across various geographical locations, making it a versatile tool in global aviation meteorology.

关键词： wind nowcasting wind components wind direction time series prediction deep learning

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