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Yang L, Wang Q, He L, Sun X. The critical role of tumor microbiome in cancer immunotherapy. Cancer Biol Ther 2024; 25:2301801. [PMID: 38241173 PMCID: PMC10802201 DOI: 10.1080/15384047.2024.2301801] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Accepted: 01/01/2024] [Indexed: 01/21/2024] Open
Abstract
In recent years, the microbiome has shown an integral role in cancer immunotherapy and has become a prominent and widely studied topic. A full understanding of the interactions between the tumor microbiome and various immunotherapies offers opportunities for immunotherapy of cancer. This review scrutinizes the composition of the tumor microbiome, the mechanism of microbial immune regulation, the influence of tumor microorganisms on tumor metastasis, and the interaction between tumor microorganisms and immunotherapy. In addition, this review also summarizes the challenges and opportunities of immunotherapy through tumor microbes, as well as the prospects and directions for future related research. In conclusion, the potential of microbial immunotherapy to enhance treatment outcomes for cancer patients should not be underestimated. Through this review, it is hoped that more research on tumor microbial immunotherapy will be done to better solve the treatment problems of cancer patients.
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Affiliation(s)
- Liu Yang
- School of Clinical Medicine, The Affiliated Hospital, Southwest Medical University, Luzhou, China
| | - Qi Wang
- Department of Gastroenterology, Affiliated Hospital of Jiangsu University, Jiangsu University, Zhenjiang, China
| | - Lijuan He
- Department of Health Management Center, The Affiliated Hospital, Southwest Medical University, Luzhou, China
| | - Xingyu Sun
- Department of Gynecology, The Affiliated Traditional Chinese Medicine Hospital, Southwest Medical University, Luzhou, China
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Rosati D, Palmieri M, Brunelli G, Morrione A, Iannelli F, Frullanti E, Giordano A. Differential gene expression analysis pipelines and bioinformatic tools for the identification of specific biomarkers: A review. Comput Struct Biotechnol J 2024; 23:1154-1168. [PMID: 38510977 PMCID: PMC10951429 DOI: 10.1016/j.csbj.2024.02.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/23/2023] [Revised: 02/20/2024] [Accepted: 02/20/2024] [Indexed: 03/22/2024] Open
Abstract
In recent years, the role of bioinformatics and computational biology together with omics techniques and transcriptomics has gained tremendous importance in biomedicine and healthcare, particularly for the identification of biomarkers for precision medicine and drug discovery. Differential gene expression (DGE) analysis is one of the most used techniques for RNA-sequencing (RNA-seq) data analysis. This tool, which is typically used in various RNA-seq data processing applications, allows the identification of differentially expressed genes across two or more sample sets. Functional enrichment analyses can then be performed to annotate and contextualize the resulting gene lists. These studies provide valuable information about disease-causing biological processes and can help in identifying molecular targets for novel therapies. This review focuses on differential gene expression (DGE) analysis pipelines and bioinformatic techniques commonly used to identify specific biomarkers and discuss the advantages and disadvantages of these techniques.
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Affiliation(s)
- Diletta Rosati
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Cancer Genomics & Systems Biology Lab, Dept. of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Maria Palmieri
- Cancer Genomics & Systems Biology Lab, Dept. of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Giulia Brunelli
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Andrea Morrione
- Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA
| | - Francesco Iannelli
- Laboratory of Molecular Microbiology and Biotechnology, Department of Medical Biotechnologies, University of Siena, Siena, Italy
| | - Elisa Frullanti
- Cancer Genomics & Systems Biology Lab, Dept. of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Med Biotech Hub and Competence Center, Department of Medical Biotechnologies, University of Siena, Italy
| | - Antonio Giordano
- Department of Medical Biotechnologies, University of Siena, 53100 Siena, Italy
- Sbarro Institute for Cancer Research and Molecular Medicine, Center for Biotechnology, Department of Biology, College of Science and Technology, Temple University, Philadelphia, PA 19122, USA
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Morris DM, Wang C, Papanastasiou G, Gray CD, Xu W, Sjöström S, Badr S, Paccou J, Semple SIK, MacGillivray T, Cawthorn WP. A novel deep learning method for large-scale analysis of bone marrow adiposity using UK Biobank Dixon MRI data. Comput Struct Biotechnol J 2024; 24:89-104. [PMID: 38268780 PMCID: PMC10806280 DOI: 10.1016/j.csbj.2023.12.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/20/2023] [Revised: 12/20/2023] [Accepted: 12/23/2023] [Indexed: 01/26/2024] Open
Abstract
Background Bone marrow adipose tissue (BMAT) represents > 10% fat mass in healthy humans and can be measured by magnetic resonance imaging (MRI) as the bone marrow fat fraction (BMFF). Human MRI studies have identified several diseases associated with BMFF but have been relatively small scale. Population-scale studies therefore have huge potential to reveal BMAT's true clinical relevance. The UK Biobank (UKBB) is undertaking MRI of 100,000 participants, providing the ideal opportunity for such advances. Objective To establish deep learning for high-throughput multi-site BMFF analysis from UKBB MRI data. Materials and methods We studied males and females aged 60-69. Bone marrow (BM) segmentation was automated using a new lightweight attention-based 3D U-Net convolutional neural network that improved segmentation of small structures from large volumetric data. Using manual segmentations from 61-64 subjects, the models were trained to segment four BM regions of interest: the spine (thoracic and lumbar vertebrae), femoral head, total hip and femoral diaphysis. Models were tested using a further 10-12 datasets per region and validated using datasets from 729 UKBB participants. BMFF was then quantified and pathophysiological characteristics assessed, including site- and sex-dependent differences and the relationships with age, BMI, bone mineral density, peripheral adiposity, and osteoporosis. Results Model accuracy matched or exceeded that for conventional U-Nets, yielding Dice scores of 91.2% (spine), 94.5% (femoral head), 91.2% (total hip) and 86.6% (femoral diaphysis). One case of severe scoliosis prevented segmentation of the spine, while one case of Non-Hodgkin Lymphoma prevented segmentation of the spine, femoral head and total hip because of T2 signal depletion; however, successful segmentation was not disrupted by any other pathophysiological variables. The resulting BMFF measurements confirmed expected relationships between BMFF and age, sex and bone density, and identified new site- and sex-specific characteristics. Conclusions We have established a new deep learning method for accurate segmentation of small structures from large volumetric data, allowing high-throughput multi-site BMFF measurement in the UKBB. Our findings reveal new pathophysiological insights, highlighting the potential of BMFF as a novel clinical biomarker. Applying our method across the full UKBB cohort will help to reveal the impact of BMAT on human health and disease.
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Affiliation(s)
- David M. Morris
- University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
- Edinburgh Imaging, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Chengjia Wang
- University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
- School of Mathematics and Computer Sciences, Heriot-Watt University, Edinburgh EH14 1AS, UK
| | - Giorgos Papanastasiou
- Edinburgh Imaging, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
- School of Computer Science and Electronic Engineering, Wivenhoe Park, The University of Essex, Colchester CO4 3SQ, UK
| | - Calum D. Gray
- Edinburgh Imaging, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Wei Xu
- Centre for Global Health, Usher Institute, University of Edinburgh, Edinburgh EH8 9AG, UK
| | - Samuel Sjöström
- University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Sammy Badr
- University of Lille, Marrow Adiposity and Bone Laboratory (MABlab) ULR 4490, F-59000 Lille, France
- CHU Lille, Department of Radiology and Musculoskeletal Imaging, F-59000 Lille, France
| | - Julien Paccou
- University of Lille, Marrow Adiposity and Bone Laboratory (MABlab) ULR 4490, F-59000 Lille, France
- CHU Lille, Department of Rheumatology, F-59000 Lille, France
| | - Scott IK Semple
- University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
- Edinburgh Imaging, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - Tom MacGillivray
- Centre for Clinical Brain Sciences, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
| | - William P. Cawthorn
- University/BHF Centre for Cardiovascular Science, University of Edinburgh, The Queen's Medical Research Institute, Edinburgh BioQuarter, 47 Little France Crescent, Edinburgh EH16 4TJ, UK
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Chen J, Lu RS, Diaz-Canestro C, Song E, Jia X, Liu Y, Wang C, Cheung CK, Panagiotou G, Xu A. Distinct changes in serum metabolites and lipid species in the onset and progression of NAFLD in Obese Chinese. Comput Struct Biotechnol J 2024; 23:791-800. [PMID: 38318437 PMCID: PMC10839226 DOI: 10.1016/j.csbj.2024.01.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/28/2023] [Revised: 01/08/2024] [Accepted: 01/14/2024] [Indexed: 02/07/2024] Open
Abstract
Introduction Metabolic disturbances are major contributors to the onset and progression of non-alcoholic fatty liver disease (NAFLD), which includes a histological spectrum ranging from single steatosis (SS) to non-alcoholic steatohepatitis (NASH). This study aimed to identify serum metabolites and lipids enriched in different histological stages of NAFLD and to explore metabolites/lipids as non-invasive biomarkers in risk prediction of NAFLD and NASH in obese Chinese. Methods Serum samples and liver biopsies were obtained from 250 NAFLD subjects. Untargeted metabolomic and lipidomic profiling were performed using Liquid Chromatography-Mass Spectrometry. Significantly altered metabolites and lipids were identified by MaAsLin2. Pathway enrichment was conducted with MetaboAnalyst and LIPEA. WGCNA was implemented to construct the co-expression network. Logistic regression models were developed to classify different histological stages of NAFLD. Results A total of 263 metabolites and 550 lipid species were detected in serum samples. Differential analysis and pathway enrichment analysis revealed the progressive patterns in metabolic mechanisms during the transition from normal liver to SS and to NASH, including N-palmitoyltaurine, tridecylic acid, and branched-chain amino acid signaling pathways. The co-expression network showed a distinct correlation between different triglyceride and phosphatidylcholine species with disease severity. Multiple models classifying NAFLD versus normal liver and NASH versus SS identified important metabolic features associated with significant improvement in disease prediction compared to conventional clinical parameters. Conclusion Different histological stages of NAFLD are enriched with distinct sets of metabolites, lipids, and metabolic pathways. Integrated algorithms highlight the important metabolic and lipidomic features for diagnosis and staging of NAFLD in obese individuals.
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Affiliation(s)
- Jiarui Chen
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
- Leibniz Insitute for Natural Product Research and Infection Biology, Microbiome Dynamics, Hans Knöll Institute, Jena, Germany
| | - Ronald Siyi Lu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Candela Diaz-Canestro
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Erfei Song
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Xi Jia
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Yan Liu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Cunchuan Wang
- Department of Metabolic and Bariatric Surgery, The First Affiliated Hospital of Jinan University, Guangzhou, China
| | - Cynthia K.Y. Cheung
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
| | - Gianni Panagiotou
- Department of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
- Leibniz Insitute for Natural Product Research and Infection Biology, Microbiome Dynamics, Hans Knöll Institute, Jena, Germany
- Friedrich Schiller University, Faculty of Biological Sciences, Jena, Germany
- Cluster of Excellence Balance of the Microverse, Friedrich-Schiller-University Jena, Jena, Germany
| | - Aimin Xu
- State Key Laboratory of Pharmaceutical Biotechnology, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region
- Department of Pharmacology and Pharmacy, the University of Hong Kong, Hong Kong Special Administrative Region
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Beylerli O, Shi H, Begliarzade S, Shumadalova A, Ilyasova T, Sufianov A. MiRNAs as new potential biomarkers and therapeutic targets in brain metastasis. Noncoding RNA Res 2024; 9:678-686. [PMID: 38577014 PMCID: PMC10987301 DOI: 10.1016/j.ncrna.2024.02.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 02/01/2024] [Accepted: 02/22/2024] [Indexed: 04/06/2024] Open
Abstract
Brain metastases represent a formidable challenge in cancer management, impacting a significant number of patients and contributing significantly to cancer-related mortality. Conventional diagnostic methods frequently fall short, underscoring the imperative for non-invasive alternatives. Non-coding RNAs (ncRNAs), specifically microRNAs (miRNAs) and long non-coding RNAs (lncRNAs), present promising avenues for exploration. These ncRNAs exert influence over the prognosis and treatment resistance of brain metastases, offering valuable insights into underlying mechanisms and potential therapeutic targets. Dysregulated ncRNAs have been identified in brain metastases originating from various primary cancers, unveiling opportunities for intervention and prevention. The analysis of ncRNA expression in bodily fluids, such as serum and cerebrospinal fluid, provides a noninvasive means to differentiate brain metastases from primary tumors. NcRNAs, particularly miRNAs, assume a pivotal role in orchestrating the immune response within the brain microenvironment. MiRNAs exhibit promise in diagnosing brain metastases, effectively distinguishing between normal and cancer cells, and pinpointing the tissue of origin for metastatic brain tumors. The manipulation of miRNAs holds substantial potential in cancer treatment, offering the prospect of reducing toxicity and enhancing efficacy. Given the limited treatment options and the formidable threat of brain metastases in cancer patients, non-coding RNAs, especially miRNAs, emerge as beacons of hope, serving as both diagnostic tools and therapeutic targets. Further clinical studies are imperative to validate the specificity and sensitivity of ncRNAs, potentially reshaping approaches to tackle this challenge and elevate treatment outcomes for affected patients.
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Affiliation(s)
- Ozal Beylerli
- Central Research Laboratory, Bashkir State Medical University, Ufa, Republic of Bashkortostan, 3 Lenin Street, 450008, Russia
| | - Huaizhang Shi
- Department of Neurosurgery, The First Affiliated Hospital of Harbin Medical University, Youzheng Street 23, Nangang District, Harbin, Heilongjiang Province, 150001, China
| | - Sema Begliarzade
- Department of Oncology, Radiology and Radiotherapy, Tyumen State Medical University, 54 Odesskaya Street, 625023, Tyumen, Russia
| | - Alina Shumadalova
- Department of General Chemistry, Bashkir State Medical University, Ufa, Republic of Bashkortostan, 3 Lenin Street, 450008, Russia
| | - Tatiana Ilyasova
- Department of Internal Diseases, Bashkir State Medical University, Ufa, Republic of Bashkortostan, 450008, Russia
| | - Albert Sufianov
- Department of Neurosurgery, Sechenov First Moscow State Medical University (Sechenov University), Moscow, 119992, Russia
- Educational and Scientific Institute of Neurosurgery, Рeoples’ Friendship University of Russia (RUDN University), 6 Miklukho-Maklaya St, Moscow, 117198, Russia
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Nandwa JO, Mehmood A, Mahjabeen I, Raheem KY, Hamadou M, Raimi MZ, Kayani MA. miR-4716-3p and the target AKT2 Gene/rs2304186 SNP are associated with blood cancer pathogenesis in Pakistani population. Noncoding RNA Res 2024; 9:695-703. [PMID: 38577021 PMCID: PMC10990746 DOI: 10.1016/j.ncrna.2024.03.005] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2024] [Revised: 02/28/2024] [Accepted: 03/13/2024] [Indexed: 04/06/2024] Open
Abstract
AKT2 is crucial for cancer cells' invasion, metastasis, and survival. It is a possible downstream gene target of cancer glycolysis-related microRNAs. The study investigated the role of miRNA-4716-3p, rs2304186, and the AKT2 gene in blood cancer pathogenesis. RT-qPCR was used to analyze AKT2 gene mRNA and miRNA-4716-3p expression in 200 blood cancer samples and 200 healthy controls. Furthermore, Tetra-ARMS PCR was used to examine the rs2304186 AKT2 SNP in 300 patients and 290 control samples. miRNA-4716-3p was shown to be significantly downregulated (p = 0.0294), whereas mRNA expression of the AKT2 gene was found to be significantly upregulated (p = 0.0034) in blood cancer patients compared to healthy individuals. miRNA-4716-3p downregulation (p = 0.0466) was more pronounced, while AKT2 upregulation was non-significant (p = 0.1661) in untreated patients compared to chemotherapy-treated patients. Blood cancer risk was significantly associated with the rs2304186 GT genotype (p = 0.0432), TT genotype (p = 0.0502), and mutant allele (T) frequency (p = 0.0008). Polymorphism rs2304186 was associated with an increased risk of blood cancer in dominant (p = 0.0011), recessive (p = 0.0502), and additive (p = 0.0008) genetic models. The results suggested that the rs2304186 and the deregulated expression of miRNA-4716-3p and AKT2 gene at the mRNA level may significantly increase the incidence of blood cancer, particularly in the Pakistani population. Therefore, these may function as suitable biomarkers for blood cancer diagnosis and prognosis. Additional, larger-scale investigations may be required to affirm these results.
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Affiliation(s)
- Jairus Olumasai Nandwa
- Department of Biosciences, COMSATS University Islamabad, Pakistan
- Department of Public Needs Research, Integrated Cancer Research Foundation of Kenya, Kenya
- Department of Genetics, Hebrew University of Jerusalem, Israel
| | - Azhar Mehmood
- Department of Biosciences, COMSATS University Islamabad, Pakistan
| | - Ishrat Mahjabeen
- Department of Biosciences, COMSATS University Islamabad, Pakistan
| | | | - Mamoudou Hamadou
- Department of Biological Sciences, Faculty of Science, University of Maroua, Cameroon
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Beylerli O, Ilyasova T, Shi H, Sufianov A. MicroRNAs in meningiomas: Potential biomarkers and therapeutic targets. Noncoding RNA Res 2024; 9:641-648. [PMID: 38577017 PMCID: PMC10987300 DOI: 10.1016/j.ncrna.2024.02.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 02/07/2024] [Accepted: 02/19/2024] [Indexed: 04/06/2024] Open
Abstract
Meningiomas, characterized primarily as benign intracranial or spinal tumors, present distinctive challenges due to their variable clinical behavior, with certain cases exhibiting aggressive features linked to elevated morbidity and mortality. Despite their prevalence, the underlying molecular mechanisms governing the initiation and progression of meningiomas remain insufficiently understood. MicroRNAs (miRNAs), small endogenous non-coding RNAs orchestrating post-transcriptional gene expression, have garnered substantial attention in this context. They emerge as pivotal biomarkers and potential therapeutic targets, offering innovative avenues for managing meningiomas. Recent research delves into the intricate mechanisms by which miRNAs contribute to meningioma pathogenesis, unraveling the molecular complexities of this enigmatic tumor. Meningiomas, originating from arachnoid meningothelial cells and known for their gradual growth, constitute a significant portion of intracranial tumors. The clinical challenge lies in comprehending their progression, particularly factors associated with brain invasion and heightened recurrence rates, which remain elusive. This comprehensive review underscores the pivotal role of miRNAs, accentuating their potential to advance our comprehension of meningioma biology. Furthermore, it suggests promising directions for developing diagnostic biomarkers and therapeutic interventions, holding the promise of markedly improved patient outcomes in the face of this intricate and variable disease.
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Affiliation(s)
- Ozal Beylerli
- Central Research Laboratory, Bashkir State Medical University, Republic of Bashkortostan, 3 Lenin Street, Ufa, 450008, Russia
| | - Tatiana Ilyasova
- Department of Internal Diseases, Bashkir State Medical University, Republic of Bashkortostan 450008, Ufa, Russia
| | - Huaizhang Shi
- Department of Neurosurgery, First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China
| | - Albert Sufianov
- Educational and Scientific Institute of Neurosurgery, Рeoples’ Friendship University of Russia (RUDN University), Moscow, Russia
- Department of Neurosurgery, Sechenov First Moscow State Medical University (Sechenov University), Moscow, Russia
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Marima R, Basera A, Miya T, Damane BP, Kandhavelu J, Mirza S, Penny C, Dlamini Z. Exosomal long non-coding RNAs in cancer: Interplay, modulation, and therapeutic avenues. Noncoding RNA Res 2024; 9:887-900. [PMID: 38616862 PMCID: PMC11015109 DOI: 10.1016/j.ncrna.2024.03.014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 03/20/2024] [Accepted: 03/29/2024] [Indexed: 04/16/2024] Open
Abstract
In the intricate field of cancer biology, researchers are increasingly intrigued by the emerging role of exosomal long non-coding RNAs (lncRNAs) due to their multifaceted interactions, complex modulation mechanisms, and potential therapeutic applications. These exosomal lncRNAs, carried within extracellular vesicles, play a vital partin tumorigenesis and disease progression by facilitating communication networks between tumor cells and their local microenvironment, making them an ideal candidates for use in a liquid biopsy approach. However, exosomal lncRNAs remain an understudied area, especially in cancer biology. Therefore this review aims to comprehensively explore the dynamic interplay between exosomal lncRNAs and various cellular components, including interactions with tumor-stroma, immune modulation, and drug resistance mechanisms. Understanding the regulatory functions of exosomal lncRNAs in these processes can potentially unveil novel diagnostic markers and therapeutic targets for cancer. Additionally, the emergence of RNA-based therapeutics presents exciting opportunities for targeting exosomal lncRNAs, offering innovative strategies to combat cancer progression and improve treatment outcomes. Thus, this review provides insights into the current understanding of exosomal lncRNAs in cancer biology, highlighting their crucial roles, regulatory mechanisms, and the evolving landscape of therapeutic interventions. Furthermore, we have also discussed the advantage of exosomes as therapeutic carriers of lncRNAs for the development of personalized targeted therapy for cancer patients.
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Affiliation(s)
- Rahaba Marima
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChi Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, South Africa
| | - Afra Basera
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChi Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, South Africa
- Department of Medical Oncology, Faculty of Health Sciences, Steve Biko Academic Hospital, University of Pretoria, South Africa
| | - Thabiso Miya
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChi Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, South Africa
| | - Botle Precious Damane
- Department of Surgery, Steve Biko Academic Hospital, University of Pretoria, Pretoria, 0028, South Africa
| | - Jeyalakshmi Kandhavelu
- Department of Oncology, Lombardi Comprehensive Cancer Center, Georgetown University Medical Center, Washington, DC, USA
| | - Sheefa Mirza
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Parktown, 2193, South Africa
| | - Clement Penny
- Department of Internal Medicine, School of Clinical Medicine, Faculty of Health Sciences, University of the Witwatersrand, Parktown, 2193, South Africa
| | - Zodwa Dlamini
- SAMRC Precision Oncology Research Unit (PORU), DSI/NRF SARChi Chair in Precision Oncology and Cancer Prevention (POCP), Pan African Cancer Research Institute (PACRI), University of Pretoria, South Africa
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Alessandroni L, Sagratini G, Gagaoua M. Proteomics and bioinformatics analyses based on two-dimensional electrophoresis and LC-MS/MS for the primary characterization of protein changes in chicken breast meat from divergent farming systems: Organic versus antibiotic-free. Food Chem (Oxf) 2024; 8:100194. [PMID: 38298469 PMCID: PMC10828576 DOI: 10.1016/j.fochms.2024.100194] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/24/2023] [Revised: 01/02/2024] [Accepted: 01/13/2024] [Indexed: 02/02/2024]
Abstract
Proteomics is a key analytical method in meat research thanks to its potential in investigating the proteins at interplay in post-mortem muscles. This study aimed to characterize for the first time the differences in early post-mortem muscle proteomes of chickens raised under two farming systems: organic versus antibiotic-free. Forty post-mortem Pectoralis major muscle samples from two chicken strains (Ross 308 versus Ranger Classic) reared under organic versus antibiotic-free farming systems were characterized and compared using two-dimensional electrophoresis and LC-MS/MS mass spectrometry. Within antibiotic-free and organic farming systems, 14 and 16 proteins were differentially abundant between Ross 308 and Ranger Classic, respectively. Within Ross 308 and Ranger Classic chicken strains, 12 and 18 proteins were differentially abundant between organic and antibiotic-free, respectively. Bioinformatics was applied to investigate the molecular pathways at interplay, which highlighted the key role of muscle structure and energy metabolism. Antibiotic-free and organic farming systems were found to significantly impact the muscle proteome of chicken breast meat. This paper further proposes a primary list of putative protein biomarkers that can be used for chicken meat or farming system authenticity.
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Affiliation(s)
- Laura Alessandroni
- School of Pharmacy, Chemistry Interdisciplinary Project (CHIP), University of Camerino, Via Madonna delle Carceri, 62032 Camerino, Italy
| | - Gianni Sagratini
- School of Pharmacy, Chemistry Interdisciplinary Project (CHIP), University of Camerino, Via Madonna delle Carceri, 62032 Camerino, Italy
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Tian Z, Yu S, Cai R, Zhang Y, Liu Q, Zhu Y. SH3GL2 and MMP17 as lung adenocarcinoma biomarkers: a machine-learning based approach. Biochem Biophys Rep 2024; 38:101693. [PMID: 38571554 PMCID: PMC10987888 DOI: 10.1016/j.bbrep.2024.101693] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2023] [Revised: 03/19/2024] [Accepted: 03/19/2024] [Indexed: 04/05/2024] Open
Abstract
Objective Using bioinformatics machine learning methods, our research aims to identify the potential key genes associated with Lung adenocarcinoma (LUAD). Methods We obtained two gene expression profiling microarrays (GSE68571 and GSE74706) from the public Gene Expression Omnibus (GEO) database at the National Centre for Biotechnology Information (NCBI). The purpose was to identify Differentially Expressed Genes (DEGs) between the lung adenocarcinoma group and the healthy control group. The limma R package in R was utilized for this analysis. For the differential gene diagnosis of lung adenocarcinoma, we employed the least absolute shrinkage and selection operator (LASSO) regression and SVM-RFE screening crossover. To evaluate the performance, ROC curves were plotted. We performed immuno-infiltration analysis using CIBERSORT. Finally, we validated the key genes through qRT-PCR and Western-blot verification, then downregulated MMP17 gene expression, upregulated SH3GL2 gene expression, and performed CCK8 experiments. Results A total of 32 Differentially Expressed Genes (DEGs) were identified. Two diagnostic marker genes, SH3GL2 and MMP17, were selected by employing LASSO and SVM-RFE machine learning methods. In Lung adenocarcinoma cells, the expression of MMP17 was observed to be elevated compared to normal lung epithelial cells in the control group (P < 0.05). In contrast, a down-regulation of SH3GL2 was found in Lung adenocarcinoma cells (P < 0.05). Finally, we downregulated MMP17 and upregulated SH3GL2 gene expression, then the CCK8 showed that the proliferation of both lung cancer cells was inhibited. Conclusion SH3GL2 and MMP17 are expected to be potential biomarkers for Lung adenocarcinoma.
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Affiliation(s)
- Zengjian Tian
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Shilong Yu
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Ruizhi Cai
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Yinghui Zhang
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Qilun Liu
- General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
| | - Yongzhao Zhu
- Institute of Medical Sciences, General Hospital of Ningxia Medical University, Yinchuan, Ningxia, 750004, China
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11
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Ji Z, Zhang J, Deng C, Guo T, Han R, Yang Y, Zang C, Chen Y. Identification of pasteurized mare milk and powder adulteration with bovine milk using quantitative proteomics and metabolomics approaches. Food Chem X 2024; 22:101265. [PMID: 38468636 PMCID: PMC10926301 DOI: 10.1016/j.fochx.2024.101265] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2023] [Revised: 02/29/2024] [Accepted: 02/29/2024] [Indexed: 03/13/2024] Open
Abstract
Adulteration in dairy products presents food safety challenges, driven by economic factors. Processing may change specific biomarkers, thus affecting their effectiveness in detection. In this study, proteomics and metabolomics approaches were to investigate the detection of bovine milk (BM) constituents adulteration in pasteurized mare milk (PMM) and mare milk powder (MMP). Several bovine proteins and metabolites were identified, with their abundances in PMM and MMP increasing upon addition of BM. Proteins like osteopontin (OPN) and serotransferrin (TF) detected adulteration down to 1 % in PMM, whereas these proteins in MMP were utilized to identify 10 % adulteration. Biotin and N6-Me-adenosine were effective in detecting adulteration in PMM as low as 10 % and 1 % respectively, while in MMP, their detection limits extend down to 0.1 %. These findings offer insights for authenticating mare milk products and underscore the influence of processing methods on biomarker levels, stressing the need to consider these effects in milk product authentication.
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Affiliation(s)
- Zhongyuan Ji
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
- Key Laboratory of Quality & Safety Control for Milk and Dairy Products of Ministry of Agriculture and Rural Affairs, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100193, China
| | - Junyu Zhang
- Institute of Feed Research, Xinjiang Academy of Animal Science, Urumqi 830052, Xinjiang, China
| | - Chunxia Deng
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Tongjun Guo
- Institute of Feed Research, Xinjiang Academy of Animal Science, Urumqi 830052, Xinjiang, China
| | - Rongwei Han
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Yongxin Yang
- College of Food Science and Engineering, Qingdao Agricultural University, Qingdao 266109, Shandong, China
| | - Changjiang Zang
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
| | - Yong Chen
- College of Animal Science, Xinjiang Agricultural University, Urumqi 830052, Xinjiang, China
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12
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Chattopadhyay A, Tak H, Anirudh J, Naick BH. Meta-analysis of Circulatory mitomiRs in stress Response: Unveiling the significance of miR-34a and miR-146a. Gene 2024; 912:148370. [PMID: 38490506 DOI: 10.1016/j.gene.2024.148370] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/22/2023] [Revised: 02/21/2024] [Accepted: 03/11/2024] [Indexed: 03/17/2024]
Abstract
BACKGROUND MicroRNAs (miRNAs) are short, noncoding RNAs with essential roles in cellular pathways and are often associated with various diseases and stress conditions. Recently, they have been discovered in mitochondria, termed "mitomiRs," with unique functions. Mitochondria, crucial organelles for energy production and stress responses, Dysregulated mitomiRs functions and expression has been evident in stress conditions such as cardiovascular and neurodegenerative. In this meta-analysis we have systematically identified miR-34a & miR-146a as possible potential biomarkers for affliction. METHODS A meta-analysis was conducted to assess the potential role of miR-34a and miR-146a, two specific mitomiRs, as biomarkers in stress-related conditions. The study followed PRISMA guidelines, involving comprehensive database searches in May and September 2023. Twelve studies meeting predefined inclusion criteria were selected, and data analysis included the evaluation of miR-34a and miR-146a expression levels in various stress conditions compared to control groups. We also performed Gene ontology (GO) and Pathway enrichment analysis to observe how mitomiRs affects our body. RESULTS The meta-analysis revealed a significant increase in overall mitomiRs (miR-34a and miR-146a) expression levels in experimental groups experiencing different stress conditions compared to control groups (Z = 3.54, p < 0.05 using RevMan software). miR-34a demonstrated more pronounced upregulation and exhibited potential as a specific biomarker in certain stress-related conditions (Z = 2.22, p < 0.05). However, miR-146a did not show a significant difference, requiring further investigation in various stress-related contexts. The Analysis indicated a high degree of heterogeneity among the studies. CONCLUSION This meta-analysis emphasises the importance of mitomiRs, especially miR-34a, as potential biomarkers in the intricate interplay between stress, mitochondrial function, and disease. The study opens new avenues for exploring miRNAs' diagnostic and therapeutic applications in stress-related diseases, highlighting their pivotal role at the crossroads of molecular biology, psychology, and medicine.
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Affiliation(s)
| | - Harshita Tak
- Department of Sports Biosciences, Central University of Rajasthan, India
| | - Jivanage Anirudh
- Department of Sports Biosciences, Central University of Rajasthan, India
| | - B Hemanth Naick
- Department of Sports Biosciences, Central University of Rajasthan, India.
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13
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Öztürk M, Salih B, Eroğlu AE, Boyaci E. Development and functionalization of electrospun fiber coated thin film microextraction devices for rapid mass spectrometric determination of biologically important polar molecules. J Pharm Biomed Anal 2024; 243:116074. [PMID: 38437785 DOI: 10.1016/j.jpba.2024.116074] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 02/25/2024] [Accepted: 02/25/2024] [Indexed: 03/06/2024]
Abstract
Rapid diagnosis of diseases is one of the challenging areas in clinical research. From the analytical chemist's perspective, the main challenges are isolating the compounds from the bio-specimen and lengthy analysis times. In this regard, solid phase microextraction offers a platform to address the abovementioned challenges. Moreover, its sharp tip-thin film geometry, known as coated blade spray (CBS), can enhance the extraction and act as an ionization source in direct mass spectrometric analysis. In this study, a new CBS device specifically designed for polar analytes was prepared and optimized to determine urinary metabolites. For this purpose, polyacrylonitrile (PAN) was selected as a base polymer as it can be electrospun to form a nanofibrous structure, and it can be modified with weak ion exchange moieties to interact with polar analytes. Following the electrospinning of PAN, hydrolysis was optimized, and conditions leading to sufficient extraction enhancement without dissolving the polymer were obtained when probes were treated with 5.0 M of NaOH for 2.5 h. Using the coated blades prepared as explained, the evaluation of various extraction conditions showed that 5 min is sufficient for equilibrium extraction. In addition, the solution's ionic strength and pH significantly affect the extraction. Optimum sorption was obtained at no salt added and pH 7.0 conditions. The CBS-MS optimization showed that 10.0 µL of ACN/MeOH/H2O (40:40:20, v/v/v) with formic acid kept for 15 seconds on the blade before voltage application leads to the highest signal. The limits of quantification of the analytes are between 50 and 100 ng/mL.
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Affiliation(s)
- Merve Öztürk
- Department of Chemistry, Middle East Technical University, Ankara 06800, Türkiye
| | - Bekir Salih
- Department of Chemistry, Hacettepe University, Ankara 06800, Türkiye
| | - Ahmet E Eroğlu
- Department of Chemistry, İzmir Institute of Technology Urla, İzmir 35430, Türkiye
| | - Ezel Boyaci
- Department of Chemistry, Middle East Technical University, Ankara 06800, Türkiye.
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14
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Botello-Marabotto M, Martínez-Bisbal MC, Pinazo-Durán MD, Martínez-Máñez R. Tear metabolomics for the diagnosis of primary open-angle glaucoma. Talanta 2024; 273:125826. [PMID: 38479028 DOI: 10.1016/j.talanta.2024.125826] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2023] [Revised: 02/14/2024] [Accepted: 02/21/2024] [Indexed: 04/09/2024]
Abstract
Primary Open-Angle Glaucoma (POAG) is the most prevalent glaucoma type, and the leading cause of irreversible visual impairment and blindness worldwide. Identification of early POAG biomarkers is of enormous value, as there is not an effective treatment for the glaucomatous optic nerve degeneration (OND). In this pilot study, a metabolomic analysis, by using proton (1H) nuclear magnetic resonance (NMR) spectroscopy was conducted in tears, in order to determine the changes of specific metabolites in the initial glaucoma eyes and to discover potential diagnostic biomarkers. A classification model, based on the metabolomic fingerprint in tears was generated as a non-invasive tool to support the preclinical and clinical POAG diagnosis. 1H NMR spectra were acquired from 30 tear samples corresponding to the POAG group (n = 11) and the control group (n = 19). Data were analysed by multivariate statistics (partial least squares-discriminant analysis: PLS-DA) to determine a model capable of differentiating between groups. The whole data set was split into calibration (65%)/validation (35%), to test the performance and the ability for glaucoma discrimination. The calculated PLS-DA model showed an area under the curve (AUC) of 1, as well as a sensitivity of 100% and a specificity of 83.3% to distinguish POAG group versus control group tear data. This model included 11 metabolites, potential biomarkers of the disease. When comparing the study groups, a decrease in the tear concentration of phenylalanine, phenylacetate, leucine, n-acetylated compounds, formic acid, and uridine, was found in the POAG group. Moreover, an increase in the tear concentration of taurine, glycine, urea, glucose, and unsaturated fatty acids was observed in the POAG group. These results highlight the potential of tear metabolomics by 1H NMR spectroscopy as a non-invasive approach to support early POAG diagnosis and in order to prevent visual loss.
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Affiliation(s)
- Marina Botello-Marabotto
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València - Universitat de València, Valencia, Spain; Unidad Mixta de Investigación en Nanomedicina y Sensores, Instituto de Investigación Sanitaria La Fe (IISLAFE) - Universitat Politècnica de València, Valencia, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Spain
| | - M Carmen Martínez-Bisbal
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València - Universitat de València, Valencia, Spain; Unidad Mixta de Investigación en Nanomedicina y Sensores, Instituto de Investigación Sanitaria La Fe (IISLAFE) - Universitat Politècnica de València, Valencia, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Spain; Departamento de Química Física, Universitat de València, Valencia, Spain.
| | - M Dolores Pinazo-Durán
- Ophthalmic Research Unit "Santiago Grisolia"/FISABIO, Valencia, Spain; Cellular and Molecular Ophthalmobiology Research Group at the University of Valencia, Valencia, Spain; Spanish Net of Inflammatory Research (REI-RICORS: RD21/0002/0032) Institute of Health Carlos III, Madrid, Spain
| | - Ramón Martínez-Máñez
- Instituto Interuniversitario de Investigación de Reconocimiento Molecular y Desarrollo Tecnológico (IDM), Universitat Politècnica de València - Universitat de València, Valencia, Spain; Unidad Mixta de Investigación en Nanomedicina y Sensores, Instituto de Investigación Sanitaria La Fe (IISLAFE) - Universitat Politècnica de València, Valencia, Spain; CIBER de Bioingeniería, Biomateriales y Nanomedicina, Instituto de Salud Carlos III, Spain; Departamento de Química, Universitat Politècnica de València, Valencia, Spain; Unidad Mixta UPV-CIPF de Investigación en Mecanismos de Enfermedades y Nanomedicina, València, Universitat Politècnica de València, Centro de Investigación Príncipe Felipe, Valencia, Spain
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15
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Srivastava A, Nalroad Sundararaj S, Bhatia J, Singh Arya D. Understanding long COVID myocarditis: A comprehensive review. Cytokine 2024; 178:156584. [PMID: 38508059 DOI: 10.1016/j.cyto.2024.156584] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/29/2023] [Revised: 02/21/2024] [Accepted: 03/15/2024] [Indexed: 03/22/2024]
Abstract
Infectious diseases are a cause of major concern in this twenty-first century. There have been reports of various outbreaks like severe acute respiratory syndrome (SARS) in 2003, swine flu in 2009, Zika virus disease in 2015, and Middle East Respiratory Syndrome (MERS) in 2012, since the start of this millennium. In addition to these outbreaks, the latest infectious disease to result in an outbreak is the SARS-CoV-2 infection. A viral infection recognized as a respiratory illness at the time of emergence, SARS-CoV-2 has wreaked havoc worldwide because of its long-lasting implications like heart failure, sepsis, organ failure, etc., and its significant impact on the global economy. Besides the acute illness, it also leads to symptoms months later which is called long COVID or post-COVID-19 condition. Due to its ever-increasing prevalence, it has been a significant challenge to treat the affected individuals and manage the complications as well. Myocarditis, a long-term complication of coronavirus disease 2019 (COVID-19) is an inflammatory condition involving the myocardium of the heart, which could even be fatal in the long term in cases of progression to ventricular dysfunction and heart failure. Thus, it is imperative to diagnose early and treat this condition in the affected individuals. At present, there are numerous studies which are in progress, investigating patients with COVID-19-related myocarditis and the treatment strategies. This review focuses primarily on myocarditis, a life-threatening complication of COVID-19 illness, and endeavors to elucidate the pathogenesis, biomarkers, and management of long COVID myocarditis along with pipeline drugs in detail.
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Affiliation(s)
- Arti Srivastava
- Department of Pharmacology, All India Institute of Medical Sciences, New Delhi 110029, India
| | | | - Jagriti Bhatia
- Department of Pharmacology, All India Institute of Medical Sciences, New Delhi 110029, India
| | - Dharamvir Singh Arya
- Department of Pharmacology, All India Institute of Medical Sciences, New Delhi 110029, India.
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16
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Bhole RP, Chikhale RV, Rathi KM. Current biomarkers and treatment strategies in Alzheimer disease: An overview and future perspectives. IBRO Neurosci Rep 2024; 16:8-42. [PMID: 38169888 PMCID: PMC10758887 DOI: 10.1016/j.ibneur.2023.11.003] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2023] [Revised: 11/06/2023] [Accepted: 11/09/2023] [Indexed: 01/05/2024] Open
Abstract
Alzheimer's disease (AD), a progressive degenerative disorder first identified by Alois Alzheimer in 1907, poses a significant public health challenge. Despite its prevalence and impact, there is currently no definitive ante mortem diagnosis for AD pathogenesis. By 2050, the United States may face a staggering 13.8 million AD patients. This review provides a concise summary of current AD biomarkers, available treatments, and potential future therapeutic approaches. The review begins by outlining existing drug targets and mechanisms in AD, along with a discussion of current treatment options. We explore various approaches targeting Amyloid β (Aβ), Tau Protein aggregation, Tau Kinases, Glycogen Synthase kinase-3β, CDK-5 inhibitors, Heat Shock Proteins (HSP), oxidative stress, inflammation, metals, Apolipoprotein E (ApoE) modulators, and Notch signaling. Additionally, we examine the historical use of Estradiol (E2) as an AD therapy, as well as the outcomes of Randomized Controlled Trials (RCTs) that evaluated antioxidants (e.g., vitamin E) and omega-3 polyunsaturated fatty acids as alternative treatment options. Notably, positive effects of docosahexaenoic acid nutriment in older adults with cognitive impairment or AD are highlighted. Furthermore, this review offers insights into ongoing clinical trials and potential therapies, shedding light on the dynamic research landscape in AD treatment.
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Affiliation(s)
- Ritesh P. Bhole
- Department of Pharmaceutical Chemistry, Dr. D. Y. Patil institute of Pharmaceutical Sciences & Research, Pimpri, Pune, India
- Dr. D. Y. Patil Dental College and Hospital, Dr. D. Y. Patil Vidyapeeth, Pimpri, Pune 411018, India
| | | | - Karishma M. Rathi
- Department of Pharmacy Practice, Dr. D. Y. Patil institute of Pharmaceutical Sciences & Research, Pimpri, Pune, India
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Nilsen DW, Aarsetoey R, Poenitz V, Ueland T, Aukrust P, Michelsen AE, Brugger-Andersen T, Staines H, Grundt H. Chemokine ligand 18 predicts all-cause mortality in patients hospitalized with chest pain of suspected coronary origin. Int J Cardiol Cardiovasc Risk Prev 2024; 21:200264. [PMID: 38596196 PMCID: PMC11002648 DOI: 10.1016/j.ijcrp.2024.200264] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 11/09/2023] [Revised: 02/21/2024] [Accepted: 03/20/2024] [Indexed: 04/11/2024]
Abstract
Introduction Chemokines mediate recruitment and activation of leucocytes. Chemokine ligand 18 (CCL18) is mainly expressed by monocytes/macrophages and dendritic cells. It is highly expressed in chronic inflammatory diseases, and locally in atherosclerotic plaques, particularly at sites of reduced stability, and systemically in acute coronary syndrome patients. Reports on its prognostic utility in the latter condition, including myocardial infarction (MI), are scarce. Aim To assess the utility of CCL18 as a prognostic marker of recurrent cardiovascular events in patients hospitalized with chest pain of suspected coronary origin. Methods The population consisted of 871 consecutive chest-pain patients, of whom 386 were diagnosed with acute myocardial infarction (AMI) based on Troponin-T (TnT) levels >50 ng/L. Stepwise Cox regression models, applying normalized continuous loge/SD values, were fitted for the biomarkers with cardiac mortality within 2 years and total mortality within 2 and 7 years as the dependent variables. Results Plasma samples from 849 patients were available. By 2 years follow-up, 138 (15.8%) patients had died, of which 86 were cardiac deaths. Univariate analysis showed a positive, significant association between CCL18 and total death [HR 1.55 (95% 1.30-1.83), p < 0.001], and for cardiac death [HR 1.32 (95% 1.06-1.64), p = 0.013]. Associations after adjustment were non-significant. By 7 years follow-up, 332 (38.1%) patients had died. CLL18 was independently associated with all-cause mortality [HR 1.14 (95% CI, 1.01-1.29), p = 0.030], but not with MI (n = 203) or stroke (n = 55). Conclusion CCL18 independently predicts long-term all-cause mortality but had no independent prognostic bearing on short-term cardiac death and CVD events.
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Affiliation(s)
- Dennis W.T. Nilsen
- Stavanger University Hospital, Department of Cardiology, Stavanger, Norway
- University of Bergen, Department of Clinical Science, Bergen, Norway
| | - Reidun Aarsetoey
- Stavanger University Hospital, Department of Cardiology, Stavanger, Norway
| | - Volker Poenitz
- Stavanger University Hospital, Department of Cardiology, Stavanger, Norway
| | - Thor Ueland
- Department of Clinical Medicine, Thrombosis Research Center, UiT - The Arctic University of Norway, Tromsø, Norway
- University of Oslo, Faculty of Medicine, Oslo, Norway
| | - Pål Aukrust
- University of Oslo, Faculty of Medicine, Oslo, Norway
- Oslo University Hospital, Rikshospitalet, Research Institute of Internal Medicine, Oslo, Norway
- Oslo University Hospital, Rikshospitalet, Section of Clinical Immunology and Infectious Diseases, Oslo, Norway
| | - Annika E. Michelsen
- University of Oslo, Faculty of Medicine, Oslo, Norway
- Oslo University Hospital, Rikshospitalet, Research Institute of Internal Medicine, Oslo, Norway
| | | | - Harry Staines
- Sigma Statistical Services, Balmullo, Northern Ireland, United Kingdom
| | - Heidi Grundt
- Stavanger University Hospital, Department of Cardiology, Stavanger, Norway
- Stavanger University Hospital, Department of Respiratory Medicine, Stavanger, Norway
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18
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van Hoogland-van Heerden M, Böhmer LH, Heyneke O, Lechaba T, Scott L, Norton G, Woodiwiss A, Mntla P, Majane OHI. Characteristics of heart failure with a preserved ejection fraction in black South African patients. Int J Cardiol Heart Vasc 2024; 52:101408. [PMID: 38638536 PMCID: PMC11024654 DOI: 10.1016/j.ijcha.2024.101408] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2023] [Revised: 03/14/2024] [Accepted: 04/06/2024] [Indexed: 04/20/2024]
Abstract
Background Heart failure with a preserved ejection fraction (HFpEF) is common in the elderly (≥75 years) and associated with arterial stiffness. The mean age of HFpEF presentation is lower (40-55 years) in sub-Saharan Africa. No clinical study has been conducted on HFpEF in identifying and characterising this phenotype at a younger age, moreover in a South African black population where the risk of HFpEF is two times higher than in other ethnic groups. This study investigated the characteristics of HFpEF in a black South African population, the biochemical markers that predict HFpEF and cardiac structural changes in this HF phenotype. Methods Sixty-six participants with HFpEF and 213 controls were enrolled. All participants gave informed consent and completed a standardised questionnaire. Echocardiographic, anthropometric, central haemodynamic measurements, pulse wave velocity (PWV) and biomarker analysis were done. Results The mean age of HFpEF participants was 54.88 ± 13.51 years. Most of the participants (76 %) were between 20 and 64 years, while only 24 % were older. HFpEF participants were hypertensive, and more obese with increased incidence of alcohol consumption. PWV was increased in HFpEF (9.97 ± 2.78 m/s) when compared to participants without HFpEF (6.11 ± 2.18 m/s), p < 0.0001. There were no significant associations between central haemodynamic parameters, N-terminal pro B-type natriuretic peptide (NT-proBNP) (p = 0.9746), and galectin-3 (p = 0.2166). NT-proBNP, but not galectin-3, was associated with left ventricular hypertrophy (p = 0.0002) and left atrial diameter (p = 0.0005). Conclusion HFpEF in South Africa is predominant in obese young to middle-age individuals with arterial stiffness and who consume alcohol regularly. NT-proBNP could be used to diagnose HFpEF, however, should be interpreted with caution in populations with a high prevalence of obesity.
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Affiliation(s)
| | - LH Böhmer
- Sefako Makgatho Health Sciences University, South Africa
| | - O Heyneke
- Sefako Makgatho Health Sciences University, South Africa
| | - T Lechaba
- Sefako Makgatho Health Sciences University, South Africa
| | - L Scott
- Sefako Makgatho Health Sciences University, South Africa
| | - G Norton
- University of the Witwatersrand, South Africa
| | - A Woodiwiss
- University of the Witwatersrand, South Africa
| | - P Mntla
- Sefako Makgatho Health Sciences University, Dr George Mukhari Academic Hospital, South Africa
| | - OHI Majane
- Sefako Makgatho Health Sciences University, South Africa
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19
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Shboul M, Bani Domi A, Abu Zahra A, Khasawneh AG, Darweesh R. Plasma miRNAs as potential biomarkers for schizophrenia in a Jordanian cohort. Noncoding RNA Res 2024; 9:350-358. [PMID: 38511065 PMCID: PMC10950580 DOI: 10.1016/j.ncrna.2024.01.018] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2023] [Revised: 01/15/2024] [Accepted: 01/30/2024] [Indexed: 03/22/2024] Open
Abstract
Background Schizophrenia (SZ), a complex and chronic neuropsychiatric disorder affecting approximately 1 % of the general population, presents diagnostic challenges due to the absence of reliable biomarkers, and relying mainly on clinical observations. MicroRNAs (miRNAs) signatures in a wide range of diseases, including psychiatric disorders, hold immense potential for serving as biomarkers. This study aimed to analyze the expression levels of specific microRNAs (miRNAs) namely miR-29b-3p, miR-106b-5p, and miR-199a-3p and explore their diagnostic potential for SZ in Jordanian patients. Methods Small RNAs (miRNAs) were extracted from plasma samples of 30 SZ patients and 35 healthy controls. RNA was reverse transcribed and quantified by real-time polymerase chain reaction (qRT-PCR). The expression levels of three miRNAs (miR-29b-3p, miR-106b-5p and miR-199a-3p) were analyzed. Receiver operating characteristic (ROC) curves analysis was performed to evaluate diagnostic value of these miRNAs. Target genes prediction, functional enrichment and pathway analyses were done using miRWalk and Metascape. STRING database was used to construct protein-protein network and identify hub genes. Results Notably, miR-106b-5p and miR-199a-3p were significantly upregulated (p < 0.0001), while miRNA-29b-3p was downregulated (p < 0.0001) in SZ patients compared to controls. The diagnostic potential was assessed through ROC curves, revealing substantial diagnostic value for miR-199a-3p (AUC: 0.979) followed by miR-106b-5p (AUC: 0.774), with limited diagnostic efficacy for miR-29b-3p. Additionally, bioinformatic analyses for the predicted target genes of the diagnostically significant miRNAs uncovered Gene Ontology (GO) terms related to neurological development, including morphogenesis, which is involved in neuron differentiation, brain development, head development, and neuron projection morphogenesis. These findings highlight a potential connection between the identified miRNAs and SZ pathophysiology in the studied Jordanian population. Furthermore, a protein-protein interaction network from the target genes identified in association with neurological development in the Gene Ontology (GO) terms deepens our comprehension of the molecular landscape of the regulated target genes. Conclusions This comprehensive exploration highlights the promising role of miRNAs in unraveling intricate molecular pathways associated with SZ in the Jordanian cohort and suggests that plasma miRNAs could serve as reliable biomarkers for SZ diagnosis and disease progression. Remarkably, this study represents the first investigation into the role of circulating miRNA expression among Jordanian patients with SZ, providing valuable insights into the diagnostic landscape of this disorder.
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Affiliation(s)
- Mohammad Shboul
- Department of Medical Laboratory Sciences, Faculty of Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
| | - Amal Bani Domi
- Department of Medical Laboratory Sciences, Faculty of Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
| | - Abdulmalek Abu Zahra
- Department of Medical Laboratory Sciences, Faculty of Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
| | - Aws G. Khasawneh
- Department of Neurosciences, Faculty of Medicine, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
| | - Reem Darweesh
- Department of Medical Laboratory Sciences, Faculty of Medical Sciences, Jordan University of Science and Technology, P.O. Box 3030, Irbid, 22110, Jordan
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20
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Blodgett JM, Pérez-Zepeda MU, Godin J, Kehler DS, Andrew MK, Kirkland S, Rockwood K, Theou O. Prognostic accuracy of 70 individual frailty biomarkers in predicting mortality in the Canadian Longitudinal Study on Aging. GeroScience 2024; 46:3061-3069. [PMID: 38182858 PMCID: PMC11009196 DOI: 10.1007/s11357-023-01055-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Accepted: 12/22/2023] [Indexed: 01/07/2024] Open
Abstract
The frailty index (FI) uses a deficit accumulation approach to derive a single, comprehensive, and replicable indicator of age-related health status. Yet, many researchers continue to seek a single "frailty biomarker" to facilitate clinical screening. We investigated the prognostic accuracy of 70 individual biomarkers in predicting mortality, comparing each with a composite FI. A total of 29,341 individuals from the comprehensive cohort of the Canadian Longitudinal Study on Aging were included (mean, 59.4 ± 9.9 years; 50.3% female). Twenty-three blood-based biomarkers and 47 test-based biomarkers (e.g., physical, cardiac, cardiology) were examined. Two composite FIs were derived: FI-Blood and FI-Examination. Mortality status was ascertained using provincial vital statistics linkages and contact with next of kin. Areas under the curve were calculated to compare prognostic accuracy across models (i.e., age, sex, biomarker, FI) in predicting mortality. Compared to an age-sex only model, the addition of individual biomarkers demonstrated improved model fit for 24/70 biomarkers (11 blood, 13 test-based). Inclusion of FI-Blood or FI-Examination improved mortality prediction when compared to any of the 70 biomarker-age-sex models. Individual addition of seven biomarkers (walking speed, chair rise, time up and go, pulse, red blood cell distribution width, C-reactive protein, white blood cells) demonstrated an improved fit when added to the age-sex-FI model. FI scores had better mortality risk prediction than any biomarker. Although seven biomarkers demonstrated improved prognostic accuracy when considered alongside an FI score, all biomarkers had worse prognostic accuracy on their own. Rather than a single biomarker test, implementation of routine FI assessment in clinical settings may provide a more accurate and reliable screening tool to identify those at increased risk of adverse outcomes.
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Affiliation(s)
- Joanna M Blodgett
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada.
- Division of Surgery Interventional Science, Institute of Sport Exercise and Health, University College London, London, UK.
| | - Mario Ulisses Pérez-Zepeda
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
- Instituto Nacional de Geriatría, Mexico City, Mexico
- Centro de Investigación en Ciencias de La Salud (CICSA), FCS, Universidad Anáhuac México Campus Norte, Huixquilucan, Edo. de México, Lomas Anahuac, Mexico
| | - Judith Godin
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
| | - Dustin Scott Kehler
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
- School of Physiotherapy, Dalhousie University, Halifax, NS, Canada
| | - Melissa K Andrew
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
| | - Susan Kirkland
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
- Department of Community Health and Epidemiology, Dalhousie University, Halifax, NS, Canada
| | - Kenneth Rockwood
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
| | - Olga Theou
- Division of Geriatric Medicine, Dalhousie University and Nova Scotia Health, Halifax, NS, Canada
- School of Physiotherapy, Dalhousie University, Halifax, NS, Canada
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Holgersen N, Nielsen VW, Rosenø NAL, Thyssen JP, Egeberg A, Nielsen SH, Ring HC, Thomsen SF. Biomarkers of systemic inflammation are associated with disease severity and metabolic syndrome in patients with hidradenitis suppurativa. JAAD Int 2024; 15:170-178. [PMID: 38638915 PMCID: PMC11025002 DOI: 10.1016/j.jdin.2024.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/03/2024] [Indexed: 04/20/2024] Open
Abstract
Background Biomarkers associated with disease severity and comorbid metabolic syndrome (MetS) in patients with hidradenitis suppurativa (HS) are lacking. Objective To identify biomarkers associated with disease severity and comorbid MetS in patients with HS. Methods Data on hospital outpatients with HS were obtained through clinical examination and interviews. Indicators of systemic inflammation; C-reactive protein (CRP), erythrocyte sedimentation-rate (ESR), neutrophil/lymphocyte-ratio (NLR), platelet/lymphocyte-ratio (PLR), monocyte/lymphocyte-ratio (MLR), platelet/neutrophil-ratio (PNR), pan-immune-inflammation-value (PIV), and systemic-immune-inflammatory-index (SII), were calculated from blood samples. Results Seven hundred patients were included; of those 444 (63.4%) and 256 (36.6%) were female and male, respectively, with a median age of 38.3 years (IQR = 27.9-51.0). Increasing CRP, ESR, NLR, PIV, and SII (P < .001) were significantly associated with increasing Hurley-stage and international hidradenitis suppurativa severity score system 4 (IHS4)-score in adjusted analysis. A doubling in CRP (OR 1.59 (1.36-1.85), P < .001), ESR (OR 1.39 (1.17-1.66), P < .001) and PIV (OR 1.41 (1.12-1.77) P = .002) was associated with MetS in adjusted analysis. ESR was the best estimator for severe IHS4-score (AUC = 0.72 (0.66-0.77), P < .001) and Hurley III (AUC = 0.79 (0.73-0.85), P < .001) whereas CRP was best for MetS (AUC = 0.67 (0.62-0.72), P < .001). Limitations Patients in a hospital setting tend to have more severe disease. Conclusion Biomarkers like CRP, ESR, and PIV measuring systemic inflammation were associated with disease severity and comorbid MetS in patients with HS.
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Affiliation(s)
- Nikolaj Holgersen
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
| | | | | | - Jacob P. Thyssen
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
| | - Alexander Egeberg
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
- Department of Clinical Medicine, University of Copenhagen, Copenhagen, Denmark
| | | | - Hans Christian Ring
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
| | - Simon Francis Thomsen
- Department of Dermato-Venereology & Wound Healing Centre, Bispebjerg Hospital, Copenhagen, Denmark
- Department of Biomedical Sciences, University of Copenhagen, Copenhagen, Denmark
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22
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Bica C, Jurj A, Harangus A, Ciocan C, Moldovan A, Zanoaga O, Burz C, Ferracin M, Raduly L, Berindan-Neagoe I. miRNA patterns in male LUSC patients - the 3-way mirror: Tissue, plasma and exosomes. Transl Oncol 2024; 44:101951. [PMID: 38564933 PMCID: PMC11002298 DOI: 10.1016/j.tranon.2024.101951] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/22/2023] [Revised: 03/28/2024] [Accepted: 03/28/2024] [Indexed: 04/04/2024] Open
Abstract
Lung cancer remains one of the leading causes of cancer-related deaths worldwide. It is classified into two main histological groups: non-small cell lung cancer (NSCLC) and small cell lung cancer. Improving the outcome of cancer patients could be possible by enhancing the early diagnosis. In the current study, we evaluated the levels of three microRNAs - miR-21-5p, miR-155-5p, and miR-181a-5p in tumor (TT) vs adjacent normal tissue (NT), as well as their expression levels in plasma and extracellular vesicles (EVs) from plasma in lung squamous cell carcinoma (LUSC) male patients vs healthy individuals as means to identify a panel of miRNAs that could serve as novel biomarkers for the diagnosis of LUSC in male patients. Matched paired tissue samples from male LUSC (n=40) patients were used for miRNA expression analysis. MiR-21-5p and miR-155-5p in tumor tissue were overexpressed, while underexpression of miR-181a-5p was observed in LUSC TT vs NT. These results were further validated in the TCGA LUSC dataset, considering 279 male samples. These alterations of miR-21-5p, miR-181a-5p, and miR-155-5p in tumor tissue are also present in plasma and plasma extracellular vesicles in LUSC male patients. In addition, ROC curves were performed to assess the sensitivity and specificity of different combinations of these miRNAs, confirming a high diagnostic accuracy for LUSC of up to 88 % in male subjects. The expression levels in tissue samples and the abundance in plasma and plasma EVs of the three miRNAs combined - miR-21-5p, miR-155-5p and miR-181a-5p - could be considered for further studies on biomarkers for the early detection of LUSC in male subjects.
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Affiliation(s)
- Cecilia Bica
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, 400337, Romania; Research Center for Advanced Medicine-MedFUTURE, Department of Translational Medicine, "Iuliu Haţieganu" University of Medicine and Pharmacy, 400347 Cluj-Napoca, Romania
| | - Ancuta Jurj
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, 400337, Romania
| | | | - Cristina Ciocan
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, 400337, Romania
| | - Alin Moldovan
- Leon Daniello Pulmonology Hospital, Cluj-Napoca, Romania
| | - Oana Zanoaga
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, 400337, Romania
| | - Claudia Burz
- Department of Immunology and Allergology, Faculty of Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania; Department of Medical Oncology, The Oncology Institute "Prof. Dr. Ion Chiricuţă", 400015 Cluj-Napoca, Romania
| | - Manuela Ferracin
- Department of Experimental, Diagnostic and Specialty Medicine, University of Bologna, Bologna, Italy
| | - Lajos Raduly
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, 400337, Romania.
| | - Ioana Berindan-Neagoe
- Research Center for Functional Genomics, Biomedicine and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, 400337, Romania
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23
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Zeinelabdeen Y, Abaza T, Yasser MB, Elemam NM, Youness RA. MIAT LncRNA: A multifunctional key player in non-oncological pathological conditions. Noncoding RNA Res 2024; 9:447-462. [PMID: 38511054 PMCID: PMC10950597 DOI: 10.1016/j.ncrna.2024.01.011] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/26/2023] [Revised: 12/27/2023] [Accepted: 01/14/2024] [Indexed: 03/22/2024] Open
Abstract
The discovery of non-coding RNAs (ncRNAs) has unveiled a wide range of transcripts that do not encode proteins but play key roles in several cellular and molecular processes. Long noncoding RNAs (lncRNAs) are specific class of ncRNAs that are longer than 200 nucleotides and have gained significant attention due to their diverse mechanisms of action and potential involvement in various pathological conditions. In the current review, the authors focus on the role of lncRNAs, specifically highlighting the Myocardial Infarction Associated Transcript (MIAT), in non-oncological context. MIAT is a nuclear lncRNA that has been directly linked to myocardial infarction and is reported to control post-transcriptional processes as a competitive endogenous RNA (ceRNA) molecule. It interacts with microRNAs (miRNAs), thereby limiting the translation and expression of their respective target messenger RNA (mRNA) and regulating protein expression. Yet, MIAT has been implicated in other numerous pathological conditions such as other cardiovascular diseases, autoimmune disease, neurodegenerative diseases, metabolic diseases, and many others. In this review, the authors emphasize that MIAT exhibits distinct expression patterns and functions across different pathological conditions and is emerging as potential diagnostic, prognostic, and therapeutic agent. Additionally, the authors highlight the regulatory role of MIAT and shed light on the involvement of lncRNAs and specifically MIAT in various non-oncological pathological conditions.
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Affiliation(s)
- Yousra Zeinelabdeen
- Molecular Genetics Research Team, Molecular Biology and Biochemistry Department, Faculty of Biotechnology, German International University (GIU), Cairo, 11835, Egypt
- Faculty of Medical Sciences/UMCG, University of Groningen, Antonius Deusinglaan 1, Groningen, 9713 AV, the Netherlands
| | - Tasneem Abaza
- Molecular Genetics Research Team, Molecular Biology and Biochemistry Department, Faculty of Biotechnology, German International University (GIU), Cairo, 11835, Egypt
- Biotechnology and Biomolecular Biochemistry Program, Faculty of Science, Cairo University, Cairo, Egypt
| | - Montaser Bellah Yasser
- Bioinformatics Group, Center for Informatics Sciences (CIS), School of Information Technology and Computer Science (ITCS), Nile University, Giza, Egypt
| | - Noha M. Elemam
- Clinical Sciences Department, College of Medicine, University of Sharjah, Sharjah, United Arab Emirates
- Research Institute for Medical and Health Sciences, University of Sharjah, Sharjah, United Arab Emirates
| | - Rana A. Youness
- Molecular Genetics Research Team, Molecular Biology and Biochemistry Department, Faculty of Biotechnology, German International University (GIU), Cairo, 11835, Egypt
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Zhang Z, Li Z, Wei K, Cao Z, Zhu Z, Chen R. Sweat as a source of non-invasive biomarkers for clinical diagnosis: An overview. Talanta 2024; 273:125865. [PMID: 38452593 DOI: 10.1016/j.talanta.2024.125865] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/17/2023] [Revised: 02/26/2024] [Accepted: 02/29/2024] [Indexed: 03/09/2024]
Abstract
Sweat has excellent potential as one of the sources of non-invasive biomarkers for clinical diagnosis. It is relatively easy to collect and process and may contain different disease-specific markers and drug metabolites, making it ideal for various clinical applications. This article discusses the anatomy of sweat glands and their role in sweat production, as well as the history and development of multiple sweat sample collection and analysis techniques. Another primary focus of this article is the application of sweat detection in clinical disease diagnosis and other life scenarios. Finally, the limitations and prospects of sweat analysis are discussed.
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Affiliation(s)
- Zhiliang Zhang
- Department of Plastic and Reconstructive Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Department of Plastic and Aesthetic Surgery, Ningbo Hangzhou Bay Hospital, Zhejiang, China
| | - Zhanhong Li
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China
| | - Kunchen Wei
- Department of Plastic and Reconstructive Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China
| | - Zehui Cao
- Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China
| | - Zhigang Zhu
- School of Health Science and Engineering, University of Shanghai for Science and Technology, Shanghai, 200093, China.
| | - Rui Chen
- Department of Plastic and Reconstructive Surgery, Renji Hospital, Shanghai Jiao Tong University, School of Medicine, Shanghai, China; Institute of Molecular Medicine, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai, China.
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25
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Lozano-Vicario L, Muñoz-Vázquez ÁJ, Ramírez-Vélez R, Galbete-Jiménez A, Fernández-Irigoyen J, Santamaría E, Cedeno-Veloz BA, Zambom-Ferraresi F, Van Munster BC, Ortiz-Gómez JR, Hidalgo-Ovejero ÁM, Romero-Ortuno R, Izquierdo M, Martínez-Velilla N. Association of postoperative delirium with serum and cerebrospinal fluid proteomic profiles: a prospective cohort study in older hip fracture patients. GeroScience 2024; 46:3235-3247. [PMID: 38236313 PMCID: PMC11009174 DOI: 10.1007/s11357-024-01071-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2023] [Accepted: 01/08/2024] [Indexed: 01/19/2024] Open
Abstract
Postoperative delirium (POD) is a common neuropsychiatric complication in geriatric inpatients after hip fracture surgery and its occurrence is associated with poor outcomes. The purpose of this study was to investigate the relationship between preoperative biomarkers in serum and cerebrospinal fluid (CSF) and the development of POD in older hip fracture patients, exploring the possibility of integrating objective methods into future predictive models of delirium. Sixty hip fracture patients were recruited. Blood and CSF samples were collected at the time of spinal anesthesia when none of the subjects had delirium. Patients were assessed daily using the 4AT scale, and based on these results, they were divided into POD and non-POD groups. The Olink® platform was used to analyze 45 cytokines. Twenty-one patients (35%) developed POD. In the subsample of 30 patients on whom proteomic analyses were performed, a proteomic profile was associated with the incidence of POD. Chemokine (C-X-C motif) ligand 9 (CXCL9) had the strongest correlation between serum and CSF samples in patients with POD (rho = 0.663; p < 0.05). Although several cytokines in serum and CSF were associated with POD after hip fracture surgery in older adults, there was a significant association with lower preoperative levels of CXCL9 in CSF and serum. Despite the small sample size, this study provides preliminary evidence of the potential role of molecular biomarkers in POD, which may provide a basis for the development of new delirium predictive models.
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Affiliation(s)
- Lucía Lozano-Vicario
- Department of Geriatric Medicine, Hospital Universitario de Navarra (HUN), Pamplona, Spain.
| | | | - Robinson Ramírez-Vélez
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Arkaitz Galbete-Jiménez
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Joaquín Fernández-Irigoyen
- Proteomics Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
| | - Enrique Santamaría
- Proteomics Unit, Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IDISNA), Pamplona, Spain
| | | | - Fabricio Zambom-Ferraresi
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
| | - Barbara C Van Munster
- Department of Geriatric Medicine, University Medical Center Groningen, University of Groningen, Groningen, The Netherlands
| | - José Ramón Ortiz-Gómez
- Department of Anesthesiology and Reanimation, Hospital Universitario de Navarra (HUN), Pamplona, Spain
| | | | - Román Romero-Ortuno
- Discipline of Medical Gerontology, School of Medicine, Trinity College Dublin, Dublin, Ireland
| | - Mikel Izquierdo
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
| | - Nicolás Martínez-Velilla
- Department of Geriatric Medicine, Hospital Universitario de Navarra (HUN), Pamplona, Spain
- Navarrabiomed, Hospital Universitario de Navarra (HUN), Universidad Pública de Navarra (UPNA), Instituto de Investigación Sanitaria de Navarra (IdiSNA), Pamplona, Spain
- CIBER of Frailty and Healthy Aging (CIBERFES), Instituto de Salud Carlos III, Madrid, Spain
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Englezos D, Voutouri C, Stylianopoulos T. Machine learning analysis reveals tumor stiffness and hypoperfusion as biomarkers predictive of cancer treatment efficacy. Transl Oncol 2024; 44:101944. [PMID: 38552284 PMCID: PMC10990740 DOI: 10.1016/j.tranon.2024.101944] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/26/2023] [Revised: 03/06/2024] [Accepted: 03/22/2024] [Indexed: 04/07/2024] Open
Abstract
In the pursuit of advancing cancer therapy, this study explores the predictive power of machine learning in analyzing tumor characteristics, specifically focusing on the effects of tumor stiffness and perfusion (i.e., blood flow) on treatment efficacy. Recent advancements in oncology have highlighted the significance of these physiological properties of the tumor microenvironment in determining treatment outcomes. We delve into the relationship between these tumor attributes and the effectiveness of cancer therapies in preclinical tumor models. Utilizing robust statistical methods and machine learning algorithms, our research analyzes data from 1365 cases of various cancer types, assessing how tumor stiffness and perfusion influence the efficacy of treatment protocols. We also investigate the synergistic potential of combining drugs that modulate tumor stiffness and perfusion with standard cytotoxic treatments. By incorporating these predictors into treatment planning, our study aims to enhance the precision of cancer therapy, tailoring treatment to individual tumor profiles. Our findings demonstrate a significant correlation between stiffness/perfusion and treatment efficacy, highlighting a new way for personalized cancer treatment strategies.
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Affiliation(s)
- Demetris Englezos
- Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus
| | - Chrysovalantis Voutouri
- Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus.
| | - Triantafyllos Stylianopoulos
- Cancer Biophysics Laboratory, Department of Mechanical and Manufacturing Engineering, University of Cyprus, Nicosia, Cyprus.
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Mohammadi H, Ariaei A, Ghobadi Z, Gorgich EAC, Rustamzadeh A. Which neuroimaging and fluid biomarkers method is better in theranostic of Alzheimer's disease? An umbrella review. IBRO Neurosci Rep 2024; 16:403-417. [PMID: 38497046 PMCID: PMC10940808 DOI: 10.1016/j.ibneur.2024.02.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2023] [Accepted: 02/24/2024] [Indexed: 03/19/2024] Open
Abstract
Biomarkers are measured to evaluate physiological and pathological processes as well as responses to a therapeutic intervention. Biomarkers can be classified as diagnostic, prognostic, predictor, clinical, and therapeutic. In Alzheimer's disease (AD), multiple biomarkers have been reported so far. Nevertheless, finding a specific biomarker in AD remains a major challenge. Three databases, including PubMed, Web of Science, and Scopus were selected with the keywords of Alzheimer's disease, neuroimaging, biomarker, and blood. The results were finalized with 49 potential CSF/blood and 35 neuroimaging biomarkers. To distinguish normal from AD patients, amyloid-beta42 (Aβ42), plasma glial fibrillary acidic protein (GFAP), and neurofilament light (NFL) as potential biomarkers in cerebrospinal fluid (CSF) as well as the serum could be detected. Nevertheless, most of the biomarkers fairly change in the CSF during AD, listed as kallikrein 6, virus-like particles (VLP-1), galectin-3 (Gal-3), and synaptotagmin-1 (Syt-1). From the neuroimaging aspect, atrophy is an accepted biomarker for the neuropathologic progression of AD. In addition, Magnetic resonance spectroscopy (MRS), diffusion weighted imaging (DWI), diffusion tensor imaging (DTI), tractography (DTT), positron emission tomography (PET), and functional magnetic resonance imaging (fMRI), can be used to detect AD. Using neuroimaging and CSF/blood biomarkers, in combination with artificial intelligence, it is possible to obtain information on prognosis and follow-up on the different stages of AD. Hence physicians could select the suitable therapy to attenuate disease symptoms and follow up on the efficiency of the prescribed drug.
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Affiliation(s)
- Hossein Mohammadi
- Department of Bioimaging, School of Advanced Technologies in Medicine, Isfahan University of Medical Sciences (MUI), Isfahan, Islamic Republic of Iran
| | - Armin Ariaei
- Student Research Committee, School of Medicine, Iran University of Medical Sciences, Tehran, Islamic Republic of Iran
| | - Zahra Ghobadi
- Advanced Medical Imaging Ward, Pars Darman Medical Imaging Center, Karaj, Islamic Republic of Iran
| | - Enam Alhagh Charkhat Gorgich
- Department of Anatomy, School of Medicine, Iranshahr University of Medical Sciences, Iranshahr, Islamic Republic of Iran
| | - Auob Rustamzadeh
- Cellular and Molecular Research Center, Research Institute for Non-communicable Diseases, Qazvin University of Medical Sciences, Qazvin, Iran
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Zvereva EA, Hendrickson OD, Dzantiev BB, Zherdev AV. Double lateral flow immunosensing of undeclared pork and chicken components of meat products. J Food Sci Technol 2024; 61:1148-1156. [PMID: 38562594 PMCID: PMC10981650 DOI: 10.1007/s13197-024-05944-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Revised: 12/01/2023] [Accepted: 01/30/2024] [Indexed: 04/04/2024]
Abstract
Adulteration of meat products is a serious problem in the modern society. Consumption of falsified meat products can be hazardous to health and/or lead to violating religious dietary principles. To identify such products, rapid and simple test systems for point-of-need detection are in demand along with complex laboratory methods. This study presents the first double lateral flow (immunochromatographic) test system, which allows simultaneous revealing two prevalent types of falsifications-undeclared addition of pork and chicken components to meat products. In the proposed test system, porcine myoglobin (MG) and chicken immunoglobulin Y (IgY) were used as specific biomarkers recognizable by antibodies. Within the optimization of the analysis, the concentrations of the immune reagents and regimes of their application on the working membrane were selected, which provided minimal limits of detection (LODs) for both analytes. The developed test system enables the detection of MG and IgY with the LODs of 10 and 12 ng/mL, respectively, which accords to addition of 0.1% of the undeclared meat compounds. The applicability of the test system to control the composition of raw meat mixtures and cooked food products was confirmed. The developed approach can be considered as a promising tool for monitoring composition of meat products. Supplementary Information The online version contains supplementary material available at 10.1007/s13197-024-05944-y.
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Affiliation(s)
- Elena A. Zvereva
- Research Center of Biotechnology of the Russian Academy of Sciences, A.N. Bach Institute of Biochemistry, Leninsky Prospect 33, Moscow, Russia 119071
| | - Olga D. Hendrickson
- Research Center of Biotechnology of the Russian Academy of Sciences, A.N. Bach Institute of Biochemistry, Leninsky Prospect 33, Moscow, Russia 119071
| | - Boris B. Dzantiev
- Research Center of Biotechnology of the Russian Academy of Sciences, A.N. Bach Institute of Biochemistry, Leninsky Prospect 33, Moscow, Russia 119071
| | - Anatoly V. Zherdev
- Research Center of Biotechnology of the Russian Academy of Sciences, A.N. Bach Institute of Biochemistry, Leninsky Prospect 33, Moscow, Russia 119071
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Casado Gama H, Amorós MA, Andrade de Araújo M, Sha CM, Vieira MP, Torres RG, Souza GF, Junkes JA, Dokholyan NV, Leite Góes Gitaí D, Duzzioni M. Systematic review and meta-analysis of dysregulated microRNAs derived from liquid biopsies as biomarkers for amyotrophic lateral sclerosis. Noncoding RNA Res 2024; 9:523-535. [PMID: 38511059 PMCID: PMC10950706 DOI: 10.1016/j.ncrna.2024.02.006] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/05/2024] [Accepted: 02/06/2024] [Indexed: 03/22/2024] Open
Abstract
The discovery of disease-specific biomarkers, such as microRNAs (miRNAs), holds the potential to transform the landscape of Amyotrophic Lateral Sclerosis (ALS) by facilitating timely diagnosis, monitoring treatment response, and accelerating drug discovery. Such advancement could ultimately improve the quality of life and survival rates for ALS patients. Despite more than a decade of research, no miRNA biomarker candidate has been translated into clinical practice. We conducted a systematic review and meta-analysis to quantitatively synthesize data from original studies that analyzed miRNA expression from liquid biopsies via PCR and compared them to healthy controls. Our analysis encompasses 807 miRNA observations from 31 studies, stratified according to their source tissue. We identified consistently dysregulated miRNAs in serum (hsa-miR-3665, -4530, -4745-5p, -206); blood (hsa-miR-338-3p, -183-5p); cerebrospinal fluid (hsa-miR-34a-3p); plasma (hsa-miR-206); and neural-enriched extracellular vesicles from plasma (hsa-miR-146a-5p, -151a-5p, -10b-5p, -29b-3p, and -4454). The meta-analyses provided further support for the upregulation of hsa-miR-206, hsa-miR-338-3p, hsa-miR-146a-5p and hsa-miR-151a-5p, and downregulation of hsa-miR-183-5p, hsa-miR-10b-5p, hsa-miR-29b-3p, and hsa-miR-4454 as consistent indicators of ALS across independent studies. Our findings provide valuable insights into the current understanding of miRNAs' dysregulated expression in ALS patients and on the researchers' choices of methodology. This work contributes to the ongoing efforts towards discovering disease-specific biomarkers.
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Affiliation(s)
- Hemerson Casado Gama
- Laboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil
| | - Mariana A. Amorós
- Laboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil
| | - Mykaella Andrade de Araújo
- Department of Cellular and Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil
| | - Congzhou M. Sha
- Department of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, PA, 17033, United States
| | - Mirella P.S. Vieira
- Laboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil
| | - Rayssa G.D. Torres
- Laboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil
| | - Gabriela F. Souza
- Laboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil
| | - Janaína A. Junkes
- Postgraduate Program in Society, Technologies and Public Policies, Tiradentes University Centre, AL, 57038-000, Brazil
| | - Nikolay V. Dokholyan
- Department of Biochemistry and Molecular Biology, Penn State College of Medicine, Hershey, PA, 17033, United States
- Department of Pharmacology, Penn State College of Medicine, Hershey, PA, 17033, United States
| | - Daniel Leite Góes Gitaí
- Department of Cellular and Molecular Biology, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil
| | - Marcelo Duzzioni
- Laboratory of Pharmacological Innovation, Institute of Biological Sciences and Health, Federal University of Alagoas, Maceió, Alagoas -AL, 57072-900, Brazil
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Ajeje ET, Gandolfi JV, Cavallari V, Silva-Jr JM, de Freitas Chaves RC, Berger-Estilita J, Lobo SM. Measurements of I-FABP and citrulline in the postoperative period of non-cardiac surgeries with gastrointestinal complications: A prospective cohort observational study. J Crit Care 2024; 81:154530. [PMID: 38335862 DOI: 10.1016/j.jcrc.2024.154530] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Revised: 01/26/2024] [Accepted: 01/29/2024] [Indexed: 02/12/2024]
Abstract
BACKGROUND Acute Gastrointestinal Injury (AGI) is associated with adverse clinical outcomes, including increased mortality. We aimed to investigate the potential of citrulline and intestinal fatty acid binding protein (I-FABP) as biomarkers for early AGI diagnosis and predicting outcomes in surgical patients. METHODS Prospective cohort study involving patients who underwent non-cardiac surgeries and were admitted to Intensive Care Units. AGI diagnosis was based on specific criteria, and severity was categorised following established guidelines. Statistical analyses were performed to assess the diagnostic accuracy of the biomarkers and their association with outcomes, P significant when <0.05. RESULTS AGI was identified in 40.3% of patients with varying severity. Mortality rates were significantly higher in the AGI group in the ICU (19.4% vs. 0%, p = 0.001) and hospital (22.6% vs. 2.17%, p = 0.003). Urinary I-FABP levels on days 3 and 7 showed reasonable and good accuracy for AGI diagnosis (AUC 0.732 and 0.813, respectively). Urinary I-FABP levels on days 2 and 3 accurately predict sepsis. Urinary citrulline levels on day one predicted mortality (AUC 0.87) furthermore urinary I-FABP levels on day 2 showed reasonable accuracy (sensitivity 83.3%, specificity 92.4%). CONCLUSION Urinary I-FABP and citrulline levels are promising diagnostic and prognostic markers in ICU patients following non-cardiac surgeries.
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Affiliation(s)
- Eduarda Tebet Ajeje
- Intensive Care Division. Hospital de Base, Faculdade de Medicina de São José do Rio Preto - São José do Rio Preto (SP), Brazil
| | - Joelma Villafanha Gandolfi
- Intensive Care Division. Hospital de Base, Faculdade de Medicina de São José do Rio Preto - São José do Rio Preto (SP), Brazil
| | - Vinicius Cavallari
- Intensive Care Division. Hospital de Base, Faculdade de Medicina de São José do Rio Preto - São José do Rio Preto (SP), Brazil
| | - João Manoel Silva-Jr
- Hospital Israelita Albert Einstein- São Paulo (SP), Brazil; Hospital das Clínicas, Faculdade de Medicina, Universidade de São Paulo - São Paulo (SP), Brazil
| | - Renato Carneiro de Freitas Chaves
- Hospital Israelita Albert Einstein- São Paulo (SP), Brazil; MIT Critical Data, Laboratory for Computational Physiology, Harvard-MIT Health Sciences and Technology, Massachusetts Institute of Technology, Cambridge, MA, United States
| | - Joana Berger-Estilita
- Institute of Anaesthesiology and Intensive Care, Salemspital, Hirslanden Medical Group, Schänzlistrasse 39, 3013 Bern, Switzerland; Institute for Medical Education, University of Bern, Mittelstrasse 43, 3012 Bern, Switzerland; CINTESIS, Centre for Health Technology and Services Research, Faculty of Medicine, University of Porto, Rua Dr. Plácido da Costa, s/n, 4200-450 Porto, Portugal
| | - Suzana Margareth Lobo
- Intensive Care Division. Hospital de Base, Faculdade de Medicina de São José do Rio Preto - São José do Rio Preto (SP), Brazil.
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Malekan M, Haass NK, Rokni GR, Gholizadeh N, Ebrahimzadeh MA, Kazeminejad A. VEGF/VEGFR axis and its signaling in melanoma: Current knowledge toward therapeutic targeting agents and future perspectives. Life Sci 2024; 345:122563. [PMID: 38508233 DOI: 10.1016/j.lfs.2024.122563] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/20/2024] [Revised: 03/10/2024] [Accepted: 03/13/2024] [Indexed: 03/22/2024]
Abstract
Melanoma is responsible for most skin cancer-associated deaths globally. The progression of melanoma is influenced by a number of pathogenic processes. Understanding the VEGF/VEGFR axis, which includes VEGF-A, PlGF, VEGF-B, VEGF-C, and VEGF-D and their receptors, VEGFR-1, VEGFR-2, and VEGFR-3, is of great importance in melanoma due to its crucial role in angiogenesis. This axis generates multifactorial and complex cellular signaling, engaging the MAPK/ERK, PI3K/AKT, PKC, PLC-γ, and FAK signaling pathways. Melanoma cell growth and proliferation, migration and metastasis, survival, and acquired resistance to therapy are influenced by this axis. The VEGF/VEGFR axis was extensively examined for their potential as diagnostic/prognostic biomarkers in melanoma patients and results showed that VEGF overexpression can be associated with unfavorable prognosis, higher level of tumor invasion and poor response to therapy. MicroRNAs linking to the VEGF/VEGFR axis were identified and, in this review, divided into two categories according to their functions, some of them promote melanoma angiogenesis (promotive group) and some restrict melanoma angiogenesis (protective group). In addition, the approach of treating melanoma by targeting the VEGF/VEGFR axis has garnered significant interest among researchers. These agents can be divided into two main groups: anti-VEGF and VEGFR inhibitors. These therapeutic options may be a prominent step along with the modern targeting and immune therapies for better coverage of pathological processes leading to melanoma progression and therapy resistance.
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Affiliation(s)
- Mohammad Malekan
- Student Research Committee, School of Medicine, Mazandaran University of Medical Sciences, Sari, Iran.
| | | | - Ghasem Rahmatpour Rokni
- Department of Dermatology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Nasim Gholizadeh
- Department of Dermatology, Faculty of Medicine, Mazandaran University of Medical Sciences, Sari, Iran
| | - Mohammad Ali Ebrahimzadeh
- Pharmaceutical Sciences Research Center, School of Pharmacy, Mazandaran University of Medical Sciences, Sari, Iran
| | - Armaghan Kazeminejad
- Department of Dermatology, Antimicrobial Resistance Research Center, Communicable Diseases Institute, Mazandaran University of Medical Sciences,Sari, Iran
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Hanfland J, Lousberg J, Ringbeck B, Schäfers C, Schlich K, Eilebrecht S. Short-term test for the toxicogenomic assessment of ecotoxic modes of action in Myriophyllum spicatum. Sci Total Environ 2024; 924:171722. [PMID: 38490423 DOI: 10.1016/j.scitotenv.2024.171722] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/19/2024] [Revised: 03/03/2024] [Accepted: 03/12/2024] [Indexed: 03/17/2024]
Abstract
In environmental risk assessment of substances, the 14-day growth inhibition test following OECD test guideline 239 is employed to assess toxicity in the macrophyte Myriophyllum spicatum. Currently, this test evaluates physiological parameters and does not allow the identification of the mode of action (MoA) by which adverse effects are induced. However, for an improved ecotoxicity assessment of substances, knowledge about their ecotoxic MoA in non-target organisms is required. It has previously been suggested that the identification of gene expression changes can contribute to MoA identification. Therefore, we developed a shortened three-day assay for M. spicatum including the transcriptomic assessment of global gene expression changes and applied this assay to two model substances, the herbicide and photosynthesis inhibitor bentazone and the pharmaceutical and HMG-CoA reductase inhibitor atorvastatin. Due to the lack of a reference genome for M. spicatum we performed a de novo transcriptome assembly followed by a functional annotation to use the toxicogenomic results for MoA discrimination. The gene expression changes induced by low effect concentrations of these substances were used to identify differentially expressed genes (DEGs) and impaired biological functions for the respective MoA. We observed both concentration-dependent numbers and differentiated patterns of DEGs for both substances. While bentazone impaired genes involved in the response to reactive oxygen species as well as light response, and also genes involved in developmental processes, atorvastatin exposure led to a differential regulation of genes related to brassinosteroid response as well as potential metabolic shifts between the mevalonate and methyl erythritol 4-phosphate pathway. Based on these responses, we identified biomarker candidates for the assessment of MoA in M. spicatum. Utilizing the shortened assay developed in this study, the investigation of the identified biomarker candidates may contribute to the development of future MoA-specific screening approaches in the ecotoxicological hazard prediction using aquatic non-standard model organisms.
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Affiliation(s)
- Jost Hanfland
- Department Ecotoxicogenomics, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Auf dem Aberg 1, 57392 Schmallenberg, Germany; Faculty of Biology, University of Münster, Schlossplatz 4, 49149 Münster, Germany.
| | - Joëlle Lousberg
- Department Ecotoxicology, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Auf dem Aberg 1, 57392 Schmallenberg, Germany; Department of Biology, RWTH Aachen University, Worringerweg 1, 52074 Aachen, Germany.
| | - Benedikt Ringbeck
- Department Trace Analysis and Environmental Monitoring, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Auf dem Aberg 1, 57392 Schmallenberg, Germany.
| | - Christoph Schäfers
- Department Ecotoxicology, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Auf dem Aberg 1, 57392 Schmallenberg, Germany.
| | - Karsten Schlich
- Department Ecotoxicology, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Auf dem Aberg 1, 57392 Schmallenberg, Germany.
| | - Sebastian Eilebrecht
- Department Ecotoxicogenomics, Fraunhofer Institute for Molecular Biology and Applied Ecology IME, Auf dem Aberg 1, 57392 Schmallenberg, Germany.
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Romanò S, Nele V, Campani V, De Rosa G, Cinti S. A comprehensive guide to extract information from extracellular vesicles: a tutorial review towards novel analytical developments. Anal Chim Acta 2024; 1302:342473. [PMID: 38580402 DOI: 10.1016/j.aca.2024.342473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 03/11/2024] [Accepted: 03/12/2024] [Indexed: 04/07/2024]
Abstract
In the medical field, extracellular vesicles (EVs) are gaining importance as they act as cells mediators. These are phospholipid bilayer vesicles and contain crucial biochemical information about their mother cells being carrier of different biomolecules such as small molecules, proteins, lipids, and nucleic acids. After release into the extracellular matrix, they enter the systemic circulation and can be found in all human biofluids. Since EVs reflect the state of the cell of origin, there is exponential attention as potential source of new circulating biomarkers for liquid biopsy. The use of EVs in clinical practice faces several challenges that need to be addressed: these include the standardization of lysis protocols, the availability of low-cost reagents and the development of analytical tools capable of detecting biomarkers. The process of lysis is a crucial step that can impact all subsequent analyses, towards the development of novel analytical strategies. To aid researchers to support the evolution of measurement science technology, this tutorial review evaluates and discuss the most commonly protocols used to characterize the contents of EVs, including their advantages and disadvantages in terms of experimental procedures, time and equipment. The purpose of this tutorial review is to offer practical guide to researchers which are intended to develop novel analytical approaches. Some of the most significant applications are considered, highlighting their main characteristics divided per mechanism of action. Finally, comprehensive tables which provide an overview at a glance are provided to readers.
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Affiliation(s)
- Sabrina Romanò
- Department of Pharmacy, University of Naples Federico II, Italy.
| | - Valeria Nele
- Department of Pharmacy, University of Naples Federico II, Italy
| | | | | | - Stefano Cinti
- Department of Pharmacy, University of Naples Federico II, Italy.
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Silva MLD, Andrade TS, Villacis RAR, Sousa-Moura D, Domingues I, Lisboa CA, Camargo NS, Pic-Taylor A, Oliveira RD, Grisolia CK. Multilevel assessment of carbamazepine effects: An integrative approach using zebrafish early-life stages. Chemosphere 2024; 355:141772. [PMID: 38548084 DOI: 10.1016/j.chemosphere.2024.141772] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/20/2024] [Accepted: 03/21/2024] [Indexed: 04/08/2024]
Abstract
Carbamazepine (CBZ) is the most commonly used drug in epilepsy treatment, and its metabolites are commonly detected among persistent pharmaceuticals in the aquatic environment. This study aimed to investigate CBZ effects on early-life-stage zebrafish (Danio rerio) (from 2 to 168 hpf) by employing of an integrative approach linking endpoints from molecular to individual level: (i) development; (ii) locomotor activity; (iii) biochemical markers (lactate dehydrogenase, glutathione-S-transferase, acetylcholinesterase and catalase) and (iv) transcriptome analysis using microarray. A 168 h - LC50 of 73.4 mg L-1 and a 72 h - EC50 of 66.8 mg L-1 for hatching were calculated while developmental effects (oedemas and tail deformities) were observed at CBZ concentrations above 37.3 mg L-1. At the biochemical level, AChE activity proved to be the most sensitive parameter, as evidenced by its decrease across all concentrations tested (∼25% maximum reduction, LOEC (lowest observed effect concentration) < 0.6 μg L-1). Locomotor behaviour seemed to be depressed by CBZ although this effect was only evident at the highest concentration tested (50 mg L-1). Molecular analysis revealed a dose-dependent effect of CBZ on gene expression. Although only 25 genes were deregulated in organisms exposed to CBZ when compared to controls, both 0.6 and 2812 μg L-1 treatments impaired gene expression related to development (e.g. crygmxl1, org, klf2a, otos, stx16 and tob2) and the nervous system (e.g. Rtn3, Gdf10, Rtn3), while activated genes were associated with behavioural response (e.g. prlbr and taar). Altogether, our results indicate that environmentally relevant CBZ concentrations might affect biochemical and genetic traits of fish. Thus, the environmental risk of CBZ cannot be neglected, especially in a realistic scenario of constant input of domestic effluents into aquatic systems.
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Affiliation(s)
- Muriel Lopes da Silva
- Departamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Asa Norte, 70910-900, Brasília, Distrito Federal, Brazil
| | - Thayres Sousa Andrade
- Universidade Federal do Ceará, Campus de Crateús- PPGEC, Av. Profa. Machadinha Lima, 63700-000 Crateus, CE, Brazil
| | - Rolando André Rios Villacis
- Departamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Asa Norte, 70910-900, Brasília, Distrito Federal, Brazil
| | - Diego Sousa-Moura
- Departamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Asa Norte, 70910-900, Brasília, Distrito Federal, Brazil
| | - Inês Domingues
- Departamento de Biologia e CESAM, Universidade de Aveiro, Campus Universitário de Santiago, 3810-193, Aveiro, Portugal
| | - Carolina Almeida Lisboa
- Departamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Asa Norte, 70910-900, Brasília, Distrito Federal, Brazil
| | - Níchollas Serafim Camargo
- Departamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Asa Norte, 70910-900, Brasília, Distrito Federal, Brazil
| | - Aline Pic-Taylor
- Departamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Asa Norte, 70910-900, Brasília, Distrito Federal, Brazil
| | - Rhaul de Oliveira
- Instituto Federal do Norte de Minas, Campus de Arinos, Minas Gerais, Brazil
| | - Cesar Koppe Grisolia
- Departamento de Genética e Morfologia, Instituto de Ciências Biológicas, Universidade de Brasília, Asa Norte, 70910-900, Brasília, Distrito Federal, Brazil.
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Gunasekara TDKSC, De Silva PMCS, Chandana EPS, Jayasinghe S, Herath C, Siribaddana S, Jayasundara N. Environmental fluoride exposure and implications on potential pediatric kidney health risks: an approach with urinary biomarkers. Pediatr Nephrol 2024; 39:1469-1480. [PMID: 38085354 DOI: 10.1007/s00467-023-06218-z] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/14/2023] [Revised: 10/25/2023] [Accepted: 10/25/2023] [Indexed: 03/16/2024]
Abstract
BACKGROUND Environmental fluoride exposure at elevated levels is potentially linked to kidney injury, and may contribute to chronic kidney disease of uncertain etiology (CKDu) as a risk factor. However, this link remains unclear, and examining the risk of kidney damage from early life fluoride exposure may provide important insights. Hence, this study aimed to investigate associations of fluoride exposure with pediatric kidney health in CKDu impacted and unimpacted communities in Sri Lanka. METHODS Considering the geographical variations in environmental fluoride, climate, and prevalence of CKDu, four study groups were established within selected education zones in CKDu-endemic dry zone regions (D-En), and CKDu-nonendemic regions within the dry (D-NE), wet (W-NE), and intermediate (I-NE) climatic zones. The study population included 922 school students (11-18 years of age). Participants in each group were divided into four subgroups based on quartiles of respective urinary fluoride (UF) distribution for comparison of urinary kidney injury molecule-1 (KIM-1), neutrophil gelatinase-associated lipocalin (NGAL), and albumin-creatinine ratio (ACR). RESULTS UF levels in participants particularly in CKDu endemic dry zone regions were significantly high compared to the other regions. Significantly high median urinary NGAL (in D-NE) and ACR (in D-EN, and W-NE) levels were observed in subgroups of higher UF quartiles. Albuminuria was not particularly identified in subjects with high UF excretion. Urinary KIM-1 showed no significant variation across the UF quartile subgroups. Linear regression identified weak associations of UF with kidney injury biomarkers. CONCLUSIONS Fluoride exposure is particularly high in CKDu-endemic dry zone communities. As implied by kidney injury biomarkers, a strong link between fluoride exposure and pediatric kidney health was not evident at the observed exposure levels in the study regions.
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Affiliation(s)
- T D K S C Gunasekara
- Department of Zoology, Faculty of Science, University of Ruhuna, Matara, 81000, Sri Lanka
| | - P Mangala C S De Silva
- Department of Zoology, Faculty of Science, University of Ruhuna, Matara, 81000, Sri Lanka.
| | - E P S Chandana
- Department of Biosystems Technology, Faculty of Technology, University of Ruhuna, Matara, 81000, Sri Lanka
| | - Sudheera Jayasinghe
- Department of Pharmacology, Faculty of Medicine, University of Ruhuna, Galle, 80000, Sri Lanka
| | - Chula Herath
- Department of Nephrology, Sri Jayewardenepura General Hospital, Nugegoda, 10250, Sri Lanka
| | - Sisira Siribaddana
- Department of Medicine, Faculty of Medicine & Allied Sciences, Rajarata University, Saliyapura, 50008, Sri Lanka
| | - Nishad Jayasundara
- Nicholas School of the Environment, Duke University, Durham, NC, 27708, USA
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Huang CH, Fang YH, Zhang S, Wu IC, Chuang SC, Chang HY, Tsai YF, Tseng WT, Wu RC, Liu YT, Lien LM, Juan CC, Tange C, Otsuka R, Arai H, Hsu CC, Hsiung CA. Develop and Validate a Prognostic Index With Laboratory Tests to Predict Mortality in Middle-Aged and Older Adults Using Machine Learning Models: A Prospective Cohort Study. J Gerontol A Biol Sci Med Sci 2024; 79:glae041. [PMID: 38349645 DOI: 10.1093/gerona/glae041] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/21/2023] [Indexed: 04/08/2024] Open
Abstract
BACKGROUND Prognostic indices can enhance personalized predictions of health burdens. However, a simple, practical, and reproducible tool is lacking for clinical use. This study aimed to develop a machine learning-based prognostic index for predicting all-cause mortality in community-dwelling older individuals. METHODS We utilized the Healthy Aging Longitudinal Study in Taiwan (HALST) cohort, encompassing data from 5 663 participants. Over the 5-year follow-up, 447 deaths were confirmed. A machine learning-based routine blood examination prognostic index (MARBE-PI) was developed using common laboratory tests based on machine learning techniques. Participants were grouped into multiple risk categories by stratum-specific likelihood ratio analysis based on their MARBE-PI scores. The MARBE-PI was subsequently externally validated with an independent population-based cohort from Japan. RESULTS Beyond age, sex, education level, and BMI, 6 laboratory tests (low-density lipoprotein, albumin, aspartate aminotransferase, lymphocyte count, high-sensitivity C-reactive protein, and creatinine) emerged as pivotal predictors via stepwise logistic regression (LR) for 5-year mortality. The area under curves of MARBE-PI constructed by LR were 0.799 (95% confidence interval [95% CI]: 0.778-0.819) and 0.756 (95% CI: 0.694-0.814) for the internal and external validation data sets, and were 0.801 (95% CI: 0.790-0.811) and 0.809 (95% CI: 0.774-0.845) for the extended 10-year mortality in both data sets, respectively. Risk categories stratified by MARBE-PI showed a consistent dose-response association with mortality. The MARBE-PI also performed comparably with indices constructed with clinical health deficits and/or laboratory results. CONCLUSIONS The MARBE-PI is considered the most applicable measure for risk stratification in busy clinical settings. It holds potential to pinpoint older individuals at elevated mortality risk, thereby aiding clinical decision-making.
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Affiliation(s)
- Chi-Hsien Huang
- Department of Family Medicine, E-Da Hospital, Kaohsiung, Taiwan
- School of Medicine, College of Medicine, I-Shou University, Kaohsiung, Taiwan
| | - Yao-Hwei Fang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
| | - Shu Zhang
- Department of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - I-Chien Wu
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
| | - Shu-Chun Chuang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
| | - Hsing-Yi Chang
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
| | - Yi-Fen Tsai
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
| | - Wei-Ting Tseng
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
| | - Ray-Chin Wu
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
| | - Yen-Tze Liu
- Big Data Center, Changhua Christian Hospital, Changhua, Changhua, Taiwan
- Department of Post-Baccalaureate Medicine, College of Medicine, National Chung Hsing University, Taichung, Taiwan
| | - Li-Ming Lien
- Department of Neurology, Shin Kong Memorial Wu Ho-Su Hospital, Taipei, Taiwan
| | - Chung-Chou Juan
- Department of Surgery, Yuan's General Hospital, Kaohsiung, Taiwan
| | - Chikako Tange
- Department of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Rei Otsuka
- Department of Epidemiology of Aging, National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Hidenori Arai
- National Center for Geriatrics and Gerontology, Obu, Aichi, Japan
| | - Chih-Cheng Hsu
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
| | - Chao Agnes Hsiung
- Institute of Population Health Sciences, National Health Research Institutes, Zhunan, Miaoli, Taiwan
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Zhang F, Zhang Y, Zhou Q, Shi Y, Gao X, Zhai S, Zhang H. Using machine learning to identify proteomic and metabolomic signatures of stroke in atrial fibrillation. Comput Biol Med 2024; 173:108375. [PMID: 38569232 DOI: 10.1016/j.compbiomed.2024.108375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/28/2023] [Revised: 03/18/2024] [Accepted: 03/24/2024] [Indexed: 04/05/2024]
Abstract
Atrial fibrillation (AF) is a common cardiac arrhythmia, with stroke being its most detrimental comorbidity. The exact mechanism of AF related stroke (AFS) still needs to be explored. In this study, we integrated proteomics and metabolomics platform to explore disordered plasma proteins and metabolites between AF patients and AFS patients. There were 22 up-regulated and 31 down-regulated differentially expressed proteins (DEPs) in AFS plasma samples. Moreover, 63 up-regulated and 51 down-regulated differentially expressed metabolites (DEMs) were discovered in AFS plasma samples. We integrated proteomics and metabolomics based on the topological interactions of DEPs and DEMs, which yielded revealed several related pathways such as arachidonic acid metabolism, serotonergic synapse, purine metabolism, tyrosine metabolism and steroid hormone biosynthesis. We then performed a machine learning model to identify potential biomarkers of stroke in AF. Finally, we selected 6 proteins and 6 metabolites as candidate biomarkers for predicting stroke in AF by random forest, the area under the curve being 0.976. In conclusion, this study provides new perspectives for understanding the progressive mechanisms of AF related stroke and discovering innovative biomarkers for determining the prognosis of stroke in AF.
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Affiliation(s)
- Fan Zhang
- NHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Ying Zhang
- Beidahuang Industry Group General Hospital, Harbin, 150001, China
| | - Qi Zhou
- Research Management Office, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Yuanqi Shi
- Key Laboratory of Cardiovascular Disease Acousto-Optic Electromagnetic Diagnosis and Treatment in Heilongjiang Province, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Xiangyuan Gao
- NHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Siqi Zhai
- NHC Key Laboratory of Cell Transplantation, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China
| | - Haiyu Zhang
- Key Laboratory of Cardiovascular Disease Acousto-Optic Electromagnetic Diagnosis and Treatment in Heilongjiang Province, The First Affiliated Hospital of Harbin Medical University, Harbin, 150001, China.
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Parolini M, De Felice B, Gazzotti S, Sugni M, Ortenzi MA. Comparison of the potential toxicity induced by microplastics made of polyethylene terephthalate (PET) and polylactic acid (PLA) on the earthworm Eiseniafoetida. Environ Pollut 2024; 348:123868. [PMID: 38556148 DOI: 10.1016/j.envpol.2024.123868] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/05/2024] [Revised: 03/02/2024] [Accepted: 03/24/2024] [Indexed: 04/02/2024]
Abstract
A growing number of studies have demonstrated that microplastic (MP) contamination is widespread in terrestrial ecosystems. A wide array of MPs made of conventional, fossil-based polymers differing in size and shape has been detected in soils worldwide. Recently, also MPs made of bioplastics have been found in soils, but there is a dearth of information concerning their toxicity on soil organisms. This study aimed at exploring the potential toxicity induced by the exposure for 28 days to irregular shaped and differently sized MPs made of a fossil-based (polyethylene terephthalate - PET) and a bioplastic (polylactic acid - PLA) polymer on the earthworm Eisenia foetida. Two amounts (1 g and 10 g/kg of soil, corresponding to 0.1% and 1% of soil weight) of both MP types were administered to the earthworms. A multi-level approach was used to investigate the MP-induced effects at sub-individual and individual level. Changes in the activity of antioxidant and detoxifying enzymes, as well as in lipid peroxidation levels, were investigated at specific time-points (i.e., 7, 14, 21 and 28 days) as sub-individual responses. Histological analyses were performed to assess effects at tissue level, while the change in digging activity was considered as a proxy of behavioral effects. Earthworms ingested MPs made of both the polymers. MPs made of PET did not induce any adverse effect at none of the biological levels. In contrast, MPs made of PLA caused the modulation of earthworms' oxidative status as showed by a bell-shaped activity of superoxide dismutase coupled with an increase in glutathione peroxidase activity. However, neither oxidative and tissue damage, nor behavioral alteration occurred. These findings suggest that the exposure to bio-based MPs can cause higher toxicity compared to fossil-based MPs.
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Affiliation(s)
- Marco Parolini
- Department of Environmental Science and Policy, University of Milan, via Celoria 26, I-20133 Milan, Italy.
| | - Beatrice De Felice
- Department of Environmental Science and Policy, University of Milan, via Celoria 26, I-20133 Milan, Italy
| | - Stefano Gazzotti
- Department of Chemistry, University of Milan, via Golgi 19, I-20133, Milan, Italy
| | - Michela Sugni
- Department of Environmental Science and Policy, University of Milan, via Celoria 26, I-20133 Milan, Italy
| | - Marco Aldo Ortenzi
- Department of Chemistry, University of Milan, via Golgi 19, I-20133, Milan, Italy
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Paller AS, Scharschmidt TC, Kezic S, Irvine AD. Preclinical Atopic Dermatitis Skin in Infants: An Emerging Research Area. J Invest Dermatol 2024; 144:1001-1009. [PMID: 38573278 DOI: 10.1016/j.jid.2024.02.021] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Revised: 02/16/2024] [Accepted: 02/20/2024] [Indexed: 04/05/2024]
Abstract
Whereas clinically apparent atopic dermatitis (AD) can be confirmed by validated diagnostic criteria, the preclinical phenotype of infants who eventually develop AD is less well-characterized. Analogous to unaffected or nonlesional skin in established AD, clinically normal-appearing skin in infants who will develop clinical AD has distinct changes. Prospective studies have revealed insights into this preclinical AD phenotype. In this study, we review the structural, immunologic, and microbiome nature of the preclinical AD phenotype. Determination of markers that predict the development of AD will facilitate targeting of interventions to prevent the development or reduce the severity of AD in infants.
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Affiliation(s)
- Amy S Paller
- Department of Dermatology, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA; Department of Pediatrics, Northwestern University Feinberg School of Medicine, Chicago, Illinois, USA.
| | - Tiffany C Scharschmidt
- Department of Dermatology, University of California San Francisco, San Francisco, California, USA
| | - Sanja Kezic
- Department of Public and Occupational Health, Amsterdam Public Health Research Institute, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Alan D Irvine
- Clinical Medicine, Trinity College Dublin, Dublin, Ireland
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Liu D, Tan S, Zhou Z, Gu S, Zuo H. Trimethylamine N-oxide, β-alanine, tryptophan index, and vitamin B6-related dietary patterns in association with stroke risk. Nutr Metab Cardiovasc Dis 2024; 34:1179-1188. [PMID: 38218714 DOI: 10.1016/j.numecd.2023.12.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/27/2023] [Revised: 11/17/2023] [Accepted: 12/06/2023] [Indexed: 01/15/2024]
Abstract
BACKGROUND AND AIMS The aim of this study was to examine the associations of dietary patterns derived by reduced-rank regression (RRR) model reflecting variation in novel biomarkers (trimethylamine N-oxide, β-alanine, tryptophan index, and vitamin B6) with stroke risk. METHODS AND RESULTS We performed analyses based on a community-based cohort study "the Prospective Follow-up Study on Cardiovascular Morbidity and Mortality in China (PFS-CMMC)". Factor loadings were calculated by RRR using 11 food groups collected via a validated food frequency questionnaire and the four response variables based on its nested case-control data (393 cases of stroke vs. 393 matched controls). Dietary pattern scores were derived by applying the factor loadings to the food groups in the entire cohort (n = 15,518). The associations of dietary pattern with the stroke risk were assessed using Cox proportional hazards models. The dietary pattern characterized with higher intakes of red meat and poultry but lower intakes of fresh vegetables, fresh fruits, and fish/seafoods were identified for further analyses. The hazard ratios (HR) for the highest vs. lowest quartile was 1.55 [95 % confidence interval (CI): 1.18-2.03, P trend = 0.001] for total stroke, 2.96 [95 % CI: 1.53-5.71, P trend <0.001] for non-ischemic stroke, after adjustment for sex, age, educational attainment, current smoking, current drinking, body mass index, total energy intake, family history of stroke, hypertension, diabetes, hyperlipidemia, and estimated glomerular filtration rate. CONCLUSION Our findings highlight the importance of limited meat intake and increased intakes of fresh vegetables, fruits, and fish/seafoods in the prevention of stroke among Chinese adults.
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Affiliation(s)
- Dong Liu
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China; School of Public Health, Nantong University, Nantong, China
| | - Siyue Tan
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China
| | - Zhengyuan Zhou
- Department of Chronic Disease Control and Prevention, Changshu Center for Disease Control and Prevention, Suzhou, China
| | - Shujun Gu
- Department of Chronic Disease Control and Prevention, Changshu Center for Disease Control and Prevention, Suzhou, China.
| | - Hui Zuo
- School of Public Health, Suzhou Medical College of Soochow University, Suzhou, China; Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases, Suzhou Medical College of Soochow University, Suzhou, China; MOE Key Laboratory of Geriatric Diseases and Immunology, Suzhou Medical College of Soochow University, Suzhou, China.
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Recabarren-Villalón T, Ronda AC, Girones L, Marcovecchio J, Amodeo M, Arias AH. Can environmental factors increase oxidative responses in fish exposed to polycyclic aromatic hydrocarbons (PAHs)? Chemosphere 2024; 355:141793. [PMID: 38548075 DOI: 10.1016/j.chemosphere.2024.141793] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/11/2022] [Revised: 01/23/2024] [Accepted: 03/23/2024] [Indexed: 04/18/2024]
Abstract
Relations among polycyclic aromatic hydrocarbons (PAHs), biomarkers of oxidative stress (lipid peroxidation, glutathione, and glutathione S-transferase activity), and the possible influence of environmental factors (temperature, pH, and salinity) were assessed in situ for specimens of Ramnogaster arcuata, a native estuarine fish. PAH levels found in the muscular tissue of R. arcuata ranged from 0.7 to 293.4 ng g-1 wet weight with petrogenic and pyrolytic inputs. Lipid peroxidation in the liver showed positive correlations (P < 0.05) with total PAHs (r = 0.66), 3-ring (r = 0.66) and 4-ring PAHs (r = 0.52) and glutathione in muscle (r = 0.58). Significant positive correlations (P < 0.05) were also evidenced between muscular glutathione with total (r = 0.62) and 3-ring PAHs (r = 0.75). Hepatic glutathione S-transferase negatively correlated with 4-ring PAHs (r = -0.58). These correlations suggest that lipid peroxidation and muscular glutathione could be good biomarkers for complex mixtures of PAHs, and hepatic glutathione S-transferase could be a suitable biomarker for 4-ring PAHs. Furthermore, significant correlations (P < 0.05) of environmental factors with PAH levels and biomarkers were observed, especially pH with 3-ring PAHs (r = -0.65), lipid peroxidation (r = -0.6), glutathione in the liver (r = -0.73) and muscle (r = -0.75); and temperature with 2-ring PAHs (r = -0.75) and glutathione in muscle (r = 0.51). The data suggest an influence of physicochemical parameters which could be driving a shift in PAH toxicity in R. arcuata. These results are essential for an integrated understanding of ecotoxicology and could help to predict environmental effects in present and future scenarios of ocean warming and acidification.
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Affiliation(s)
- Tatiana Recabarren-Villalón
- Instituto Argentino de Oceanografía IADO - CONICET/UNS, Camino La Carrindanga km 7.5, 8000, Bahía Blanca, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Argentina; Universidad San Sebastián USS, Lientur, 1457, Concepción, Chile.
| | - Ana C Ronda
- Instituto Argentino de Oceanografía IADO - CONICET/UNS, Camino La Carrindanga km 7.5, 8000, Bahía Blanca, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Argentina; Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, Av Alem 1253, 8000, Bahía Blanca, Argentina
| | - Lautaro Girones
- Instituto Argentino de Oceanografía IADO - CONICET/UNS, Camino La Carrindanga km 7.5, 8000, Bahía Blanca, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Argentina
| | - Jorge Marcovecchio
- Instituto Argentino de Oceanografía IADO - CONICET/UNS, Camino La Carrindanga km 7.5, 8000, Bahía Blanca, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Argentina; Universidad de la Fraternidad de Agrupaciones Santo Tomás de Aquino, Gascón 3145, 7600, Mar del Plata, Argentina; Universidad Tecnológica Nacional-FRBB, 11 de Abril 445, 8000, Bahía Blanca, Argentina
| | - Martín Amodeo
- Instituto Argentino de Oceanografía IADO - CONICET/UNS, Camino La Carrindanga km 7.5, 8000, Bahía Blanca, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Argentina; Departamento de Biología, Bioquímica y Farmacia, Universidad Nacional del Sur, Av Alem 1253, 8000, Bahía Blanca, Argentina
| | - Andrés H Arias
- Instituto Argentino de Oceanografía IADO - CONICET/UNS, Camino La Carrindanga km 7.5, 8000, Bahía Blanca, Argentina; Consejo Nacional de Investigaciones Científicas y Técnicas CONICET, Argentina; Departamento de Química, Área III, Universidad Nacional del Sur, Av Alem 1253, 8000, Bahía Blanca, Argentina
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Qin S, Wu H, Li C, Yang J, Yan W, He Z, Xing X, Zhang J, Xu X, Zhao L, Su X. Detection of Naturally occurring abortive transcripts by Base-Stacking Hybridization Assisted Ligation and PCR amplification. Biosens Bioelectron 2024; 251:116099. [PMID: 38330773 DOI: 10.1016/j.bios.2024.116099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Revised: 01/13/2024] [Accepted: 01/31/2024] [Indexed: 02/10/2024]
Abstract
Abortive transcripts (ATs) refer to nascent 2-10 nucleotides (nt) RNAs released by RNA polymerases before synthesizing productive RNAs. The quantitative detection of ATs is important for studying transcription initiation and the biological function of ATs; however, no method is available for the qualitative and quantitative assessment of such ultra-short oligonucleotides (typically shorter than 11 nt) in vivo at present, even with the LNA probes, the detection limit can only reach 11 nt. Here, we demonstrated the base stacking hybridization assisted ligation (BSHAL) technique, combined with TaqMan-MGB qPCR, can detect 4-10 nt ATs with a specificity of nucleotide resolution and a sensitivity of approximately 10 pM. By this technique, we detected endogenous ATs in cell lines, mice plasmas, and mice liver tissues, respectively, and proved that naturally occurring ATs do exist. We found that the 8 nt ATs of HMSB and Gapdh could be used as reference ATs for data normalization in Homo and mouse respectively, and 8 nt ATs of Afp and Gpc3 were suitable for use as plasma biomarkers of Hepatocellular carcinoma in mouse, indicate ATs are promising biomarkers. This study offers opportunities to study ATs and other ultra-short oligonucleotides in biological samples.
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Affiliation(s)
- Shaowei Qin
- School of Food and Health, Guilin Tourism University, Guilin, 541006, China
| | - Haizhu Wu
- School of Food and Health, Guilin Tourism University, Guilin, 541006, China
| | - Cailin Li
- School of Food and Health, Guilin Tourism University, Guilin, 541006, China
| | - Jiarui Yang
- Department of Chemical and Biomolecular Engineering, Whiting School of Engineering, The Johns Hopkins University, Baltimore, 21218, USA
| | - Weiwei Yan
- School of Food and Health, Guilin Tourism University, Guilin, 541006, China
| | - Zhigui He
- School of Food and Health, Guilin Tourism University, Guilin, 541006, China
| | - Xuekun Xing
- College of Public Health, Guilin Medical University, Guilin, 541199, China
| | - Jiayang Zhang
- College of Public Health, Guilin Medical University, Guilin, 541199, China
| | - Xianglin Xu
- School of Food and Health, Guilin Tourism University, Guilin, 541006, China
| | - Lifeng Zhao
- School of Food and Health, Guilin Tourism University, Guilin, 541006, China.
| | - Xin Su
- College of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
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Mota FAR, Passos MLC, Santos JLM, Saraiva MLMFS. Comparative analysis of electrochemical and optical sensors for detection of chronic wounds biomarkers: A review. Biosens Bioelectron 2024; 251:116095. [PMID: 38382268 DOI: 10.1016/j.bios.2024.116095] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/24/2023] [Revised: 01/30/2024] [Accepted: 01/31/2024] [Indexed: 02/23/2024]
Abstract
Chronic wounds (CW) present a significant healthcare challenge due to their prolonged healing time and associated complications. To effectively treat these wounds and prevent further deterioration, monitoring their healing progress is crucial. Traditional wound assessment methods relying on visual inspection and subjective evaluation are prone to inter-observer variability. Biomarkers play a critical role in objectively evaluating wound status and predicting healing outcomes, providing quantitative measures of wound healing progress, inflammation, infection, and tissue regeneration. Recent attention has been devoted to identifying and validating CW biomarkers. Various studies have investigated potential biomarkers, including growth factors, cytokines, proteases, and extracellular matrix components, shedding light on the complex molecular and cellular processes within CW. This knowledge enables a more targeted and personalized approach to wound management. Accurate and sensitive techniques are necessary for detecting CW biomarkers. Thus, this review compares and discusses the use of electrochemical and optical sensors for biomarker determination. The advantages and disadvantages of these sensors are highlighted. Differences in detection capabilities and characteristics such as non-invasiveness, portability, high sensitivity, specificity, simplicity, cost-effectiveness, compatibility with point-of-care applications, and real-time monitoring of wound biomarkers will be pointed out and compared. In summary, this work provides an overview of CW, explores the emerging field of CW biomarkers, and discusses methods for detecting these biomarkers, with a specific focus on optical and electrochemical sensors. The potential of further research and development in this field for advancing wound care and improving patient outcomes will also be noted.
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Affiliation(s)
- Fátima A R Mota
- LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira, no 228, Porto, 4050-313, Portugal.
| | - Marieta L C Passos
- LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira, no 228, Porto, 4050-313, Portugal.
| | - João L M Santos
- LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira, no 228, Porto, 4050-313, Portugal.
| | - M Lúcia M F S Saraiva
- LAQV, REQUIMTE, Department of Chemical Sciences, Laboratory of Applied Chemistry, Faculty of Pharmacy, University of Porto, Rua de Jorge Viterbo Ferreira, no 228, Porto, 4050-313, Portugal.
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Rashid G, Khan NA, Elsori D, Youness RA, Hassan H, Siwan D, Seth N, Kamal MA, Rizvi S, Babker AM, Hafez W. miRNA expression in PCOS: unveiling a paradigm shift toward biomarker discovery. Arch Gynecol Obstet 2024; 309:1707-1723. [PMID: 38316651 DOI: 10.1007/s00404-024-07379-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2023] [Accepted: 01/07/2024] [Indexed: 02/07/2024]
Abstract
Polycystic ovary syndrome (PCOS) is a complex endocrine disorder that affects a substantial percentage of women, estimated at around 9-21%. This condition can lead to anovulatory infertility in women of childbearing age and is often accompanied by various metabolic disturbances, including hyperandrogenism, insulin resistance, obesity, type-2 diabetes, and elevated cholesterol levels. The development of PCOS is influenced by a combination of epigenetic alterations, genetic mutations, and changes in the expression of non-coding RNAs, particularly microRNAs (miRNAs). MicroRNAs, commonly referred to as non-coding RNAs, are approximately 22 nucleotides in length and primarily function in post-transcriptional gene regulation, facilitating mRNA degradation and repressing translation. Their dynamic expression in different cells and tissues contributes to the regulation of various biological and cellular pathways. As a result, they have become pivotal biomarkers for various diseases, including PCOS, demonstrating intricate associations with diverse health conditions. The aberrant expression of miRNAs has been detected in the serum of women with PCOS, with overexpression and dysregulation of these miRNAs playing a central role in the atypical expression of endocrine hormones linked to PCOS. This review takes a comprehensive approach to explore the upregulation and downregulation of various miRNAs present in ovarian follicular cells, granulosa cells, and theca cells of women diagnosed with PCOS. Furthermore, it discusses the potential for a theragnostic approach using miRNAs to better understand and manage PCOS.
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Affiliation(s)
- Gowhar Rashid
- Department of Medical Lab Technology, Amity Medical School, Amity University Haryana, Gurugram, India.
| | - Nihad Ashraf Khan
- Department of Biosciences, Faculty of Natural Sciences, Jamia Millia Islamia, Delhi, 110025, India
| | | | - Rana A Youness
- Biology and Biochemistry Department, Faculty of Biotechnology, German International University, Cairo, Egypt
| | - Homa Hassan
- Department of Biotechnology, School of Chemical and Life Sciences, Jamia Hamdard, New Delhi, India
| | - Deepali Siwan
- Department of Pharmacology, Delhi Pharmaceutical Sciences and Research University, Delhi, 110017, India
| | - Namrata Seth
- Department of Biotechnology, Indian Institute of Science and Technology, Bhopal, 462066, India
| | - Mohammad Azhar Kamal
- Department of Pharmaceutics, College of Pharmacy, Prince Sattam Bin Abdulaziz University, Alkharj, Saudi Arabia
| | - Saliha Rizvi
- Department of Biotechnology, Era University, Lucknow, India
| | - Asaad Ma Babker
- Department of Medical Laboratory Sciences, Gulf Medical University, Ajman, United Arab Emirates
| | - Wael Hafez
- The Medical Research Division, Department of Internal Medicine, the National Research Centre, Cairo, Egypt
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Liang J, Cheng ZY, Shan F, Cao Y, Xia QR. Serum indoleamine 2, 3-dioxygenase and tryptophan-2, 3-dioxygenase: potential biomarkers for the diagnosis of major depressive disorder. Psychopharmacology (Berl) 2024; 241:1093-1099. [PMID: 38286858 DOI: 10.1007/s00213-024-06542-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/18/2023] [Accepted: 01/22/2024] [Indexed: 01/31/2024]
Abstract
OBJECTIVE The objective of this study was to observe the changes in the levels of indoleamine 2, 3-dioxygenase (IDO) and tryptophan-2, 3-dioxygenase (TDO) in patients with major depressive disorder (MDD) and investigate their potential role as novel biomarkers for diagnosing MDD. METHODS A total of 55 MDD patients and 55 healthy controls (HC) were enrolled in the study. The severity of MDD was assessed using the 24-item Hamilton Depression Rating Scale (HAMD-24) before and after treatment. The serum concentrations of IDO and TDO were measured at baseline and after treatment. The correlations between the serum levels of IDO and TDO and HAMD-24 scores were evaluated using Pearson's correlation test. Receiver operating characteristic (ROC) curve analysis was used to evaluate the area under the curve (AUC) of serum levels of IDO and TDO for discriminating MDD patients from HC. RESULTS The serum IDO and TDO concentrations were significantly higher in patients with MDD at baseline than in healthy controls, and decreased significantly after 2 weeks or 1 month of treatment. The levels of IDO and TDO were significantly positively correlated with HAMD-24 scores. Furthermore, the AUC values for IDO and TDO were 0.999 and 0.966, respectively. CONCLUSION The study suggests that serum IDO and TDO may serve as novel biomarkers for diagnosing MDD. These findings may lead to a better understanding of the pathogenesis of MDD and the development of new therapeutic targets.
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Affiliation(s)
- Jun Liang
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Zhuo-Yu Cheng
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Feng Shan
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Yin Cao
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China
- Anhui Clinical Research Center for Mental Disorders, Hefei, China
| | - Qing-Rong Xia
- Affiliated Psychological Hospital of Anhui Medical University, Hefei, China.
- Department of Pharmacy, Hefei Fourth People's Hospital, Hefei, China.
- Psychopharmacology Research Laboratory, Anhui Mental Health Center, Hefei, China.
- Anhui Clinical Research Center for Mental Disorders, Hefei, China.
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Patel R, Cosentino S, Zheng EZ, Schupf N, Barral S, Feitosa M, Andersen SL, Sebastiani P, Ukraintseva S, Christensen K, Zmuda J, Thyagarajan B, Gu Y. Systemic inflammation in relation to exceptional memory in the Long Life Family Study (LLFS). Brain Behav Immun Health 2024; 37:100746. [PMID: 38476338 PMCID: PMC10925922 DOI: 10.1016/j.bbih.2024.100746] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/15/2023] [Revised: 02/12/2024] [Accepted: 02/21/2024] [Indexed: 03/14/2024] Open
Abstract
Background and objectives We previously found a substantial familial aggregation of healthy aging phenotypes, including exceptional memory (EM) in long-lived persons. In the current study, we aim to assess whether long-lived families with EM and without EM (non-EM) differ in systemic inflammation status and trajectory. Methods The current study included 4333 participants of the multi-center Long Life Family Study (LLFS). LLFS families were classified as EM (556 individuals from 28 families) or non-EM (3777 individuals from 416 families), with 2 or more offspring exhibiting exceptional memory performance (i.e. having baseline composite z-score representing immediate and delayed story memory being 1.5 SD above the mean in the nondemented offspring sample) considered as EM. Blood samples from baseline were used to measure inflammatory biomarkers including total white blood cell (WBC) and its subtypes (neutrophils, lymphocytes, monocytes) count, platelet count, high sensitivity C-reactive protein, and interleukin-6. Generalized linear models were used to examine cross-sectional differences in inflammatory biomarkers at baseline. In a sub-sample of 2227 participants (338 subjects from 24 EM families and 1889 from 328 non-EM families) with repeated measures of immune cell counts, we examined whether the rate of biomarker change differed between EM and non-EM families. All models were adjusted for family size, relatedness, age, sex, education, field center, APOE genotype, and body mass index. Results LLFS participants from EM families had a marginally higher monocyte count at baseline (b = 0.028, SE = 0.0110, p = 0.010) after adjusting for age, sex, education, and field site, particularly in men (p < 0.0001) but not in women (p = 0.493) (p-interaction = 0.003). Over time, monocyte counts increased (p < 0.0001) in both EM and non-EM families, while lymphocytes and platelet counts decreased over time in the non-EM families (p < 0.0001) but not in the EM families. After adjusting for multiple variables, there was no significant difference in biomarker change over time between the EM and non-EM families. Discussion Compared with non-EM families, EM families had significantly higher monocyte count at baseline but had similar change over time. Our study suggests that differences in monocyte counts may be a pathway through which EM emerges in some long-lived families, especially among men.
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Affiliation(s)
- Ruhee Patel
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
| | - Stephanie Cosentino
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
| | - Esther Zhiwei Zheng
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
| | - Nicole Schupf
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
| | - Sandra Barral
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
| | - Mary Feitosa
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA
| | - Stacy L. Andersen
- Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
| | - Paola Sebastiani
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA
| | | | - Kaare Christensen
- Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, 5230, Odense, Denmark
| | - Joseph Zmuda
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA
| | - Bharat Thyagarajan
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
| | - Yian Gu
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
| | - Long Life Family Study (LLFS)
- Cognitive Neuroscience Division, Taub Institute for Research on Alzheimer's Disease and the Aging Brain, Gertrude H. Sergievsky Center, Department of Neurology, Columbia University Medical Center, New York, NY, 10032, USA
- Division of Statistical Genomics, Department of Genetics, Washington University School of Medicine, St. Louis, MO, 63110, USA
- Department of Medicine, Boston University School of Medicine, Boston, MA, 02118, USA
- Institute for Clinical Research and Health Policy Studies, Tufts Medical Center, Boston, MA, 02111, USA
- Social Sciences Research Institute, Duke University, Durham, NC, 27705, USA
- Epidemiology, Biostatistics and Biodemography, University of Southern Denmark, 5230, Odense, Denmark
- Department of Epidemiology, University of Pittsburgh, Pittsburgh, PA, 15213, USA
- Department of Laboratory Medicine and Pathology, University of Minnesota, Minneapolis, MN, 55455, USA
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Channa R, Wolf RM, Simo R, Brigell M, Fort P, Curcio C, Lynch S, Verbraak F, Abramoff MD. A New Approach to Staging Diabetic Eye Disease: Staging of Diabetic Retinal Neurodegeneration and Diabetic Macular Edema. Ophthalmol Sci 2024; 4:100420. [PMID: 38284099 PMCID: PMC10818256 DOI: 10.1016/j.xops.2023.100420] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 06/08/2023] [Revised: 09/29/2023] [Accepted: 10/23/2023] [Indexed: 01/30/2024]
Abstract
Topic The goal of this review was to summarize the current level of evidence on biomarkers to quantify diabetic retinal neurodegeneration (DRN) and diabetic macular edema (DME). Clinical relevance With advances in retinal diagnostics, we have more data on patients with diabetes than ever before. However, the staging system for diabetic retinal disease is still based only on color fundus photographs and we do not have clear guidelines on how to incorporate data from the relatively newer modalities into clinical practice. Methods In this review, we use a Delphi process with experts to identify the most promising modalities to identify DRN and DME. These included microperimetry, full-field flash electroretinogram, spectral-domain OCT, adaptive optics, and OCT angiography. We then used a previously published method of determining the evidence level to complete detailed evidence grids for each modality. Results Our results showed that among the modalities evaluated, the level of evidence to quantify DRN and DME was highest for OCT (level 1) and lowest for adaptive optics (level 4). Conclusion For most of the modalities evaluated, prospective studies are needed to elucidate their role in the management and outcomes of diabetic retinal diseases. Financial Disclosures Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.
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Affiliation(s)
- Roomasa Channa
- Department of Ophthalmology and Visual Sciences, University of Wisconsin, Madison, Wisconsin
| | - Risa M. Wolf
- Department of Pediatric Endocrinology, Johns Hopkins University School of Medicine, Baltimore, Maryland
| | - Rafael Simo
- Division of Endocrinology, Vall d’Hebron University Hospital, CIBERDEM, Barcelona, Spain
| | | | - Patrice Fort
- Department of Ophthalmology and Visual Sciences, University of Michigan, Ann Arbor, Michigan
| | - Christine Curcio
- Department of Ophthalmology, University of Alabama, Birmingham, Alabama
| | | | - Frank Verbraak
- Department of Ophthalmology, Amsterdam University Medical Center, Amsterdam, The Netherlands
| | - Michael D. Abramoff
- Department of Ophthalmology and Visual Sciences, University of Iowa, Iowa City, Iowa
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Omura M, Kosaka T, Kobayashi H, Shigeta K, Matsumoto K, Hara S, Kikuchi E, Mikami S, Saya H, Sato Y, Oya M. Vasohibin-1 Expression Can Predict Pathological Complete Remission of Advanced Bladder Cancer with Neoadjuvant Chemotherapy. Ann Surg Oncol 2024; 31:2951-2958. [PMID: 38376711 PMCID: PMC10997694 DOI: 10.1245/s10434-024-15009-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/28/2023] [Accepted: 01/21/2024] [Indexed: 02/21/2024]
Abstract
BACKGROUND AND PURPOSE Neoadjuvant chemotherapy (NAC) is a well-established standard practice in invasive bladder cancer (BCa), however patient selection remains challenging. High expression of vasohibin-1 (VASH1), an endogenous regulator of angiogenesis, has been reported in high-grade and advanced BCa; however, its prognostic value for chemotherapy outcomes remains unexplored. In this study, we sought to identify biomarkers of chemotherapy response focusing on the relationship between angiogenesis and tissue hypoxia. METHODS Forty Japanese patients with BCa who underwent NAC and radical cystectomy were included in the present analysis. We compared the immunohistochemical expression of CD34, VASH1, and carbonic anhydrase 9 (CA9) between patients who achieved tumor clearance at operation (ypT0) and those with residual disease after cystectomy. RESULTS There were 19 patients in the ypT0 group, while the remaining 21 patients had residual tumors at operation. Patients in the ypT0 group had high microvessel density (p = 0.031), high VASH1 density (p < 0.001), and stronger CA9 staining (p = 0.046) than their counterparts. Multivariate analysis identified microvessel and VASH1 density as independent predictive factors for pathological ypT0 disease (p = 0.043 and 0.002, respectively). The 5-year recurrence-free survival rate was higher in the high VASH1 density group than in the low VASH1 density group (66.3% vs. 33.3%, p = 0.036). CONCLUSION VASH1 density is a potential therapeutic biomarker for chemotherapy response in BCa.
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Affiliation(s)
- Minami Omura
- Department of Urology, Keio University School of Medicine, Tokyo, Japan
| | - Takeo Kosaka
- Department of Urology, Keio University School of Medicine, Tokyo, Japan.
| | - Hiroaki Kobayashi
- Department of Urology, Keio University School of Medicine, Tokyo, Japan
| | - Keisuke Shigeta
- Department of Urology, Kawasaki Municipal Hospital, Kanagawa, Japan
| | | | - Satoshi Hara
- Department of Urology, Kawasaki Municipal Hospital, Kanagawa, Japan
| | - Eiji Kikuchi
- Department of Urology, St. Marianna University School of Medicine, Kanagawa, Japan
| | - Shuji Mikami
- Department of Pathology, Keio University School of Medicine, Tokyo, Japan
| | - Hideyuki Saya
- Division of Gene Regulation, Institute for Advanced Medical Research, Graduate School of Medicine, Keio University, Tokyo, Japan
| | - Yasufumi Sato
- Department of Vascular Biology, Institute of Development, Aging and Cancer, Tohoku University, Miyagi, Japan
| | - Mototsugu Oya
- Department of Urology, Keio University School of Medicine, Tokyo, Japan
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Valenzuela R, Walbaum B, Farias C, Acevedo F, Vargas C, Bennett JT, Bravo ML, Pinto MP, Medina L, Merino T, Ibañez C, Parada A, Sanchez C. High linoleic acid levels in red blood cells predict a poor response to neoadjuvant chemotherapy in human epidermal growth factor receptor type 2-positive breast cancer patients. Nutrition 2024; 121:112357. [PMID: 38430738 DOI: 10.1016/j.nut.2024.112357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/29/2023] [Revised: 12/11/2023] [Accepted: 01/05/2024] [Indexed: 03/05/2024]
Abstract
OBJECTIVE Polyunsaturated fatty acids are categorized as ω-3 or ⍵-6. Previous studies demonstrate that breast cancers display a high expression of fatty acid synthase and high fatty acid levels. Our study sought to determine if changes in plasma or red blood cell membrane fatty acid levels were associated with the response to preoperative (neoadjuvant) chemotherapy in non-metastatic breast cancer patients. METHODS Our prospective study assessed fatty acid levels in plasma and red blood cell membrane. Response to neoadjuvant chemotherapy was evaluated by the presence or absence of pathologic complete response and/or residual cancer burden. RESULTS A total of 28 patients were included. First, patients who achieved pathologic complete response had significantly higher neutrophil-to-lymphocyte ratio versus no pathologic complete response (P = 0.003). Second, total red blood cell membrane polyunsaturated fatty acids were higher in the absence of pathologic complete response (P = 0.0028). Third, total red blood cell membrane ⍵-6 polyunsaturated fatty acids were also higher in no pathologic complete response (P < 0.01). Among ⍵-6 polyunsaturated fatty acids, red blood cell membrane linoleic acid was higher in the absence of pathologic complete response (P < 0.01). Notably, plasma polyunsaturated fatty acid, ⍵-6, and linoleic acid levels did not have significant differences. A multivariate analysis confirmed red blood cell membrane linoleic acid was associated with no pathologic complete response; this was further confirmed by receiver operating characteristic analysis (specificity = 92.3%, sensitivity = 76.9%, and area under the curve = 0.855). CONCLUSIONS Pending further validation, red blood cell membrane linoleic acid might serve as a predictor biomarker of poorer response to neoadjuvant chemotherapy in non-metastatic human epidermal growth factor receptor type 2-positive breast cancer. Measuring fatty acids in red blood cell membrane could offer a convenient, minimally invasive strategy to identifying patients more likely to respond or those with chemoresistance.
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Affiliation(s)
- Rodrigo Valenzuela
- Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Benjamín Walbaum
- Department of Hematology and Oncology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Camila Farias
- Department of Nutrition, Faculty of Medicine, University of Chile, Santiago, Chile
| | - Francisco Acevedo
- Department of Hematology and Oncology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Catalina Vargas
- Department of Surgical Oncology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - José Tomas Bennett
- Department of Hematology and Oncology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - M Loreto Bravo
- Support Team for Oncological Research and Medicine (STORM), Santiago, Chile
| | - Mauricio P Pinto
- Support Team for Oncological Research and Medicine (STORM), Santiago, Chile
| | - Lidia Medina
- Centro del Cáncer Nuestra Señora de la Esperanza, UC CHRISTUS Healthcare Network, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Tomas Merino
- Department of Hematology and Oncology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Carolina Ibañez
- Department of Hematology and Oncology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Alejandra Parada
- Department of Health Sciences. School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Cesar Sanchez
- Department of Hematology and Oncology, School of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.
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McAlindon TE, Hunnicutt JL, Roberts MB, Haugen IK, Schaefer LF, Driban JB, Lu B, Duryea J, Smith SE, Booth SL, Petty GA, Mathiessen A, Zeng L, Eaton C. Associations of inflammatory and metabolic biomarkers with incident erosive hand osteoarthritis in the osteoarthritis initiative cohort. Osteoarthritis Cartilage 2024; 32:592-600. [PMID: 38311107 PMCID: PMC11031286 DOI: 10.1016/j.joca.2023.10.011] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/06/2023] [Revised: 10/19/2023] [Accepted: 10/30/2023] [Indexed: 02/06/2024]
Abstract
OBJECTIVE Erosive hand osteoarthritis (eHOA) is a subtype of hand osteoarthritis (OA) that develops in finger joints with pre-existing OA and is differentiated by clinical characteristics (hand pain/disability, inflammation, and erosions) that suggest inflammatory or metabolic processes. METHOD This was a longitudinal nested case-cohort design among Osteoarthritis Initiative participants who had hand radiographs at baseline and 48-months, and biospecimens collected at baseline. We classified incident radiographic eHOA in individuals with ≥1 joint with Kellgren-Lawrence ≥2 and a central erosion present at 48-months but not at baseline. We used a random representative sample (n = 1282) for comparison. We measured serum biomarkers of inflammation, insulin resistance and dysglycemia, and adipokines using immunoassays and enzymatic colorimetric procedures, blinded to case status. RESULTS Eighty-six participants developed incident radiographic eHOA. In the multivariate analyses adjusted for age, gender, race, smoking, and body mass index, and after adjustment for multiple analyses, incident radiographic eHOA was associated with elevated levels of interleukin-7 (risk ratio (RR) per SD = 1.30 [95% confidence interval (CI) 1.09, 1.55] p trend 0.01). CONCLUSION This exploratory study suggests an association of elevated interleukin-7, an inflammatory cytokine, with incident eHOA, while other cytokines or biomarkers of metabolic inflammation were not associated. Interleukin-7 may mediate inflammation and tissue damage in susceptible osteoarthritic finger joints and participate in erosive progression.
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Affiliation(s)
- Timothy E McAlindon
- Division of Rheumatology, Allergy, and Immunology, Tufts Medical Center, Boston, MA, USA.
| | | | - Mary B Roberts
- Care New England Medical Group/Primary Care and Specialty Services, Pawtucket, RI, USA.
| | - Ida K Haugen
- Center for Treatment of Rheumatic and Musculoskeletal Diseases (REMEDY), Diakonhjemmet Hospital, Oslo, Norway.
| | - Lena F Schaefer
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Jeffrey B Driban
- Division of Rheumatology, Allergy, and Immunology, Tufts Medical Center, Boston, MA, USA.
| | - Bing Lu
- UConn Health, University of Connecticut, Farmington, CT, USA.
| | - Jeffrey Duryea
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Stacy E Smith
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Sarah L Booth
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
| | - Gayle A Petty
- Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, MA, USA.
| | - Alexander Mathiessen
- Division of Musculoskeletal Imaging and Intervention, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
| | - Li Zeng
- Department of Integrative Physiology and Pathobiology, School of Medicine, Tufts University, Boston, MA, USA.
| | - Charles Eaton
- Care New England Medical Group/Primary Care and Specialty Services, Pawtucket, RI, USA.
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