Impact of biosecurity measures, social pressure and bullying on attitudes, perceptions, and job satisfaction levels among healthcare workers during the COVID-19 pandemic: a cross-s... by Azza Sarfraz, Zouina Sarfraz, Genesis Camacho-Leon, Geovanny Efraín Alvarado-Villa, Derly Madeleiny Andrade-Molina, Juan Carlos Fernandez-Cadena, Arjola Agolli, Zeynep Yukselen, Miguel Felix, Juan Carlos Gallardo Bastidas, Fernando Espinoza-Fuentes, Jack Michel, Ivan Cherrez-Ojeda

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Enhancing immunotherapy efficacy in colorectal cancer: targeting the FGR-AKT-SP1-DKK1 axis with DCC-2036 (Rebastinib) by Xiguang Chen, Qiting Zeng, Liyang Yin, Bingru Yan, Chen Wu, Jianbo Feng, Ying Wu, Jun He, Wenjun Ding, Jing Zhong, Yingying Shen, Xuyu Zu

“…Through comprehensive multi-omics investigations, significant shifts in both gene and protein expression profiles were detected, notably a marked decrease in DKK1 levels. …”
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Skin Microbiota: Mediator of Interactions Between Metabolic Disorders and Cutaneous Health and Disease by Magdalini Kreouzi, Nikolaos Theodorakis, Maria Nikolaou, Georgios Feretzakis, Athanasios Anastasiou, Konstantinos Kalodanis, Aikaterini Sakagianni

“…Furthermore, machine learning models are increasingly used to integrate multi-omics data, enabling personalized interventions. …”
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The GWAS-MAP platform for aggregation of results of genome-wide association studies and the GWAS-MAP|homo database of 70 billion genetic associations of human traits by T. I. Shashkova, D. D. Gorev, E. D. Pakhomov, A. S. Shadrina, S. Zh. Sharapov, Y. A. Tsepilov, L. C. Karssen, Y. S. Aulchenko

“…The database currently contains information on more than 70 billion associations between genetic variants and human diseases, quantitative traits, and “omics” traits. The GWAS-MAP platform and database can be used for studying the etiology of human diseases, building predictive risk models and finding potential biomarkers and therapeutic interventions. …”
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Neurological function is restored post-ischemic stroke in zebrafish, with aging exerting a deleterious effect on its pathology by Takamasa Mizoguchi, Ayumi Maki, Yuno Nakase, Mayu Okita, Yuina Minami, Misa Fukunaga, Motoyuki Itoh

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Integrating Metabolomics and Genomics to Uncover the Impact of Fermented Total Mixed Ration on Heifer Growth Performance Through Host-Dependent Metabolic Pathways by Zhenzhen Hu, Minyu Zuo, Shixuan Ding, Yifan Zhong, Mingyuan Xue, Huichao Zheng

“…In conclusion, feeding HSF and ZF FTMR enhances glutathione metabolism and antioxidant capacity in heifers, positioning key metabolites as candidates for ADG markers. This integrative omics approach underscores the potential for enhancing livestock productivity and promoting sustainable agricultural practices.…”
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Bifidobacterium animalis Probio-M8 improves sarcopenia physical performance by mitigating creatine restrictions imposed by microbial metabolites by Zeng Zhang, Yajing Fang, Yangli He, Mohamed A. Farag, Min Zeng, Yukai Sun, Siqi Peng, Shuaiming Jiang, Xian Zhang, Kaining Chen, Meng Xu, Zhe Han, Jiachao Zhang

“…We analyzed 43 subjects, including gut microbiome, fecal metabolome, and serum metabolome, using a multi-omics approach to assess whether Probio-M8 can improve sarcopenia by modulating gut microbial metabolites. …”
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The Progression of Mycosis Fungoides During Treatment with Mogamulizumab: A BIO-MUSE Case Study of the Tumor and Immune Response in Peripheral Blood and Tissue by Angelica Johansson, Eirini Kalliara, Emma Belfrage, Teodor Alling, Paul Theodor Pyl, Anna Sandström Gerdtsson, Urban Gullberg, Anna Porwit, Kristina Drott, Sara Ek

“…Here, we report on a case study involving one patient, where combined omics analysis of tissue and blood was used to reveal the unique molecular features associated with the progression of the disease. …”
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Genome-wide analysis of Smad and Schnurri transcription factors in C. elegans demonstrates widespread interaction and a function in collagen secretion by Mehul Vora, Jonathan Dietz, Zachary Wing, Karen George, Jun Kelly Liu, Christopher Rongo, Cathy Savage-Dunn

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DHX37 Impacts Prognosis of Hepatocellular Carcinoma and Lung Adenocarcinoma through Immune Infiltration by Yanni Xu, Qiongchao Jiang, Hejun Liu, Xiaoyun Xiao, Dinghong Yang, Phei Er Saw, Baoming Luo

“…Coexpression genes, Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG), and fundamental regulators were performed via LinkedOmics. Confirming the prognostic value of DHX37 in liver hepatocellular carcinoma (LIHC) and lung adenocarcinoma (LUAD), we explored the role of DHX37 in infiltrated lymphocytes in cancers using the Gene Expression Profiling Interactive Analysis (GEPIA) and TIMER databases. …”
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Novel protein-based prognostic signature linked to immunotherapeutic efficiency in ovarian cancer by Shuo-Fu Chen, Liang-Yun Wang, Yi-Sian Lin, Cho-Yi Chen

“…While conventional clinicopathological factors have exhibited limited efficacy as prognostic indicators in ovarian cancer, multi-omics profiling presents a promising avenue for comprehending the interplay between the tumor and immune components. …”
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Integrating microplastic research in sustainable agriculture: Challenges and future directions for food production by Marcelo Illanes, María-Trinidad Toro, Mauricio Schoebitz, Nelson Zapata, Diego A. Moreno, María Dolores López-Belchí

“…Currently, the application of omics technologies, including genomics, transcriptomics, and metabolomics, offers novel insights into molecular mechanisms that enable the identification of specific biomarkers associated with MP exposure. …”
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Uncovering novel functions of the enigmatic, abundant, and active Anaerolineae in a salt marsh ecosystem by Paige E. Payne, Loren N. Knobbe, Patricia Chanton, Julian Zaugg, Behzad Mortazavi, Olivia U. Mason

“…Yet, little is known about the metabolic pathways encoded and expressed in this abundant salt marsh clade. Using an ‘omics-based approach, we determined that Anaerolineae are capable of oxidizing a range of carbon compounds, including simple sugars to complex carbon compounds, while also encoding fermentation and carbon fixation. …”
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Flavones enrich rhizosphere Pseudomonas to enhance nitrogen utilization and secondary root growth in Populus by Jiadong Wu, Sijia Liu, Haoyu Zhang, Sisi Chen, Jingna Si, Lin Liu, Yue Wang, Shuxian Tan, Yuxin Du, Zhelun Jin, Jianbo Xie, Deqiang Zhang

“…Here, we collect roots and rhizosphere soils from nine Populus species belonging to four sections (Leuce, Aigeiros, Tacamahaca, and Turanga), generate metabolite and transcription data for roots and microbiota data for rhizospheres, and conduct comprehensive multi-omics analyses. We demonstrate that the roots of vigorous Leuce poplar enrich more Pseudomonas, compared with the poorly performing poplar. …”
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Cold-induced metabolic adaptations in the large yellow croaker Larimichthys crocea by Yang Gao, Huirong Lv, Chengzhang Huang, Xiaoyu Qu, Zhangjie Chu, Weiye Li, Xiaolong Yin, Jungyeol Park, Dejun Feng, Junwook Hur

“…Flow rate had a more significant impact on tail beat frequency than temperature, whereas respiratory rate was more affected by temperature than flow rate. Omics data revealed that the ABC transporter, glycolysis and oxidative phosphorylation pathways were downregulated, whereas the citrate cycle pathway was upregulated, suggesting a metabolic adjustment to optimize ATP production and cellular transport mechanisms for efficient energy utilization and metabolic homeostasis. …”
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Metatranscriptomes-based sequence similarity networks uncover genetic signatures within parasitic freshwater microbial eukaryotes by Arthur Monjot, Jérémy Rousseau, Lucie Bittner, Cécile Lepère

“…However, the vast amount of data produced by -omics approaches require data-driven methodologies to make predictions about these microorganisms’ role within ecosystems. …”
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Multiomics approach identifies dysregulated lipidomic and proteomic networks in Parkinson’s disease patients mutated in TMEM175 by Federica Carrillo, Marco Ghirimoldi, Giorgio Fortunato, Nicole Piera Palomba, Laura Ianiro, Veronica De Giorgis, Shahzaib Khoso, Tiziana Giloni, Sara Pietracupa, Nicola Modugno, Elettra Barberis, Marcello Manfredi, Teresa Esposito

“…Here, we adopted an untargeted omics approach to disclose lipidomic, metabolomic and proteomic alterations in plasma and in dermal fibroblasts of PD patients carrying mutations in TMEM175 gene. …”
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Virulence factor discovery identifies associations between the Fic gene family and Fap2+ fusobacteria in colorectal cancer microbiomes by Geicho Nakatsu, Duhyun Ko, Monia Michaud, Eric A. Franzosa, Xochitl C. Morgan, Curtis Huttenhower, Wendy S. Garrett

“…Fap2 is a fusobacteria-specific outer membrane galactose-binding lectin that mediates Fusobacterium adherence to and invasion of CRC tumors. Advances in omics analyses provide an opportunity to profile and identify microbial genomic features that correlate with the cancer-associated bacterial virulence factor Fap2. …”
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Deep learning in microbiome analysis: a comprehensive review of neural network models by Piotr Przymus, Krzysztof Rykaczewski, Adrián Martín-Segura, Jaak Truu, Enrique Carrillo De Santa Pau, Mikhail Kolev, Mikhail Kolev, Irina Naskinova, Aleksandra Gruca, Alexia Sampri, Alexia Sampri, Marcus Frohme, Alina Nechyporenko, Alina Nechyporenko

“…These computational techniques have become essential for addressing the inherent complexity and high-dimensionality of microbiome data, which consist of different types of omics datasets. Deep learning algorithms have shown remarkable capabilities in pattern recognition, feature extraction, and predictive modeling, enabling researchers to uncover hidden relationships within microbial ecosystems. …”
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Dynamic changes in the gastrointestinal microbial communities of Gangba sheep and analysis of their functions in plant biomass degradation at high altitude by Xiaozhen Liu, He Ding, Xiaoxue Zhang, Na Ta, Jinmei Zhao, Qian Zhang, Huiyun Liu, Mengjiao Sun, Xiaoqing Zhang

“…Results A comprehensive multi-omics survey of the microbial communities of the Gangba sheep gastrointestinal tract was performed under three distinct feeding strategies: natural grazing, semi-grazing with supplementation, and barn feeding. …”
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