Polytrauma in Older Adults Leads to Significantly Increased TIMP-1 Levels in the Early Posttraumatic Period by Mareen Braunstein, Thomas Kusmenkov, Wolf Mutschler, Christian Kammerlander, Wolfgang Böcker, Viktoria Bogner-Flatz

“…MMP-9 and TIMP-1 have been found to play a major role in posttraumatic immune disorder in a previous genome-wide mRNA analysis. Objective. The aim of this study was to evaluate the differences in serum protein dynamics in older and younger polytraumatized adults. …”
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Infarct‐like myocarditis with coronary vasculitis and aneurysm formation caused by Epstein–Barr virus infection by Cristina Chimenti, Romina Verardo, Claudia Grande, Marco Francone, Andrea Frustaci

“…Two additional frozen samples were evaluated by real‐time polymerase chain reaction for the presence of cardiotropic viral genomes. Routine laboratory tests revealed the presence of elevated white blood cells (17 000 103/μL) and increased Troponin T. …”
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Transfer of Cytoplasmic Male Sterility to the Female Parents of Heat- and Drought-Resilient Maize (<i>Zea mays</i> L.) Hybrids by Ayyanagouda Patil, Kushal Gowda, Shivananda T. Lakshman, Prakash H. Kuchanur, Gajanan Saykhedkar, Sudha Krishnan Nair, Kisan B. Jadhav, Sharanabasappa Yeri, Gururaj Sunkad, Jayaprakash M. Nidagundi, Vinayan Madhumal Thayil, Pervez H. Zaidi

“…The present research used Diversity Array Technology (DArTag) and Kompetitive Allele Specific PCR (KASP)-based single-nucleotide polymorphic markers for background selection in backcross populations. Genome recovery percentage ranged from 64.25 to 72.70, 78.94 to 87.69 and 82.28 to 90.77 percent in the BC₁F₁, BC₂F₁ and BC₃F₁ population, respectively, in the CAL1514 population, while it was 63.47 to 73.55, 78.16 to 88.76 and 83.96 to 91.81 percent in the BC₁F₁, BC₂F₁ and BC₃F₁ population, respectively, in the ZL153493 population. …”
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LRRK2 Mutations and Asian Disease-Associated Variants in the First Parkinson’s Disease Cohort from Kazakhstan by Rauan Kaiyrzhanov, Akbota Aitkulova, Chingiz Shashkin, Nazira Zharkinbekova, Mie Rizig, Elena Zholdybayeva, Zharkyn Jarmukhanov, Vadim Akhmetzhanov, Gulnaz Kaishibayeva, Talgat Khaibullin, Altynay Karimova, Serik Akshulakov, Askhat Bralov, Nurlan Kissamedenov, Zhanar Seidinova, Anjela Taskinbayeva, Aliya Muratbaikyzy, Henry Houlden

“…Methods. 246 PD patients were consecutively recruited by movement disorder specialists from four medical centers in Kazakhstan, and clinicodemographic data and genomic DNA from blood were systematically obtained and shipped to the Institute of Neurology University College London together with DNAs from 200 healthy controls. …”
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Spatial and temporal epidemiology of SARS-CoV-2 virus lineages in Teesside, UK, in 2020: effects of socio-economic deprivation, weather, and lockdown on lineage dynamics by Moss, E.D., Rushton, S.P., Baker, P., Bashton, M., Crown, M.R., dos Santos, R.N., Nelson, A., O’Brien, S.J., Richards, Z., Sanderson, R.A., Yew, W.C., Young, G.R., McCann, C.M., Smith, D.L.

“…As the outbreak continued, new variants were detected through two national monitoring programmes that conducted genomic sequencing. This study aimed to determine the effects of weather, demographic features, and national and local COVID-19 restrictions on positive PCR tests at a sub-regional scale. …”
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Autophagy activation in response to cigarette smoke: Exploring the disparity in laryngeal cancer incidence and outcomes between sexes in South Korea by Min Ji Kim, Jisu Hong, Hyo Won Chang, Yun-Hee Lee, Jun-Pyo Myong, Ah Ra Jung, Yoon Se Lee, Minsu Kwon

“…In addition, to explore the relationship between the level of autophagy-related gene expression and clinical features, female LC patients were compared with male patients through an analysis of data from The Cancer Genome Atlas (TCGA). Results: In the NHIS data analyses, male LC patients had an 11 times higher incidence than female patients, even after adjusting for smoking and age. …”
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Heterogeneity of avian infectious bronchitis virus population by Ye. V. Ovchinnikova, L. O. Scherbakova, S. N. Kolosov, A. N. Andriyasova, N. G. Zinyakov, Z. B. Nikonova, A. A. Kozlov, P. B. Akshalova, D. A. Altunin, D. B. Andreychuk

“…Due to the lack of mechanisms to correct errors during genome replication, the virus can quickly mutate and generate new strains. …”
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Identification of Co-Expression Modules of Cotton Plant Height-Related Genes Based on Weighted Gene Co-Expression Network Analysis by Qian Huang, Li Liu, Hang Li, Xuwen Wang, Aijun Si, Liangrong He, Yu Yu

“…Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses indicated that these modules are associated with biologically significant pathways, including oxidoreductase activity, transcriptional regulator activity, catalytic activity, and phosphate hydrolase activity. …”
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Assessment of genetic polymorphism in sea buckthorn (Hippophae L.) of different environmentally-geographical origin by ISSR-markers by A. Y. Zemtsova, Y. A. Zubarev, A. V. Gunin, M. S. Ivanova

“…The absence of an approved procedure of genome definition for Siberian sea buckthorn makes the above task quite complicated. …”
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A Metabolic Gene Signature to Predict Overall Survival in Head and Neck Squamous Cell Carcinoma by Zeng-Hong Wu, Yun Tang, Yue Zhou

“…In this study, we used RNA sequencing (RNA-seq) data from the cancer genome atlas (TCGA), with validation in the GEO dataset to profile the metabolic microenvironment and define potential biomarkers for metabolic therapy. …”
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Utilization of edible poultry slaughter residues: A chicken-liver hydrolysate with glucose-lowering ability and upregulating glycogenesis in type II diabetes by Yi-Ling Lin, Yu-Pei Chen, Sheng-Yao Wang, Yi-Feng Kao, Chompunut Lumsangkul, Yi-Chen Chen

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Integrating RNA-seq and scRNA-seq to explore the prognostic features and immune landscape of exosome-related genes in breast cancer metastasis by Guanyou Huang, Yong Yu, Heng Su, Hongchuan Gan, Liangzhao Chu

“…Objective This study aims to explore the role of exosome-related genes in breast cancer (BRCA) metastasis by integrating RNA-seq and single-cell RNA-seq (scRNA-seq) data from BRCA samples and to develop a reliable prognostic model.Methods Initially, a comprehensive analysis was conducted on exosome-related genes from the BRCA cohort in The Cancer Genome Atlas (TCGA) database. Three prognostic genes (JUP, CAPZA1 and ARVCF) were identified through univariate Cox regression and Lasso-Cox regression analyses, and a metastasis-related risk score model was established based on these genes. …”
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The heterogeneity of NOTCH1 to tumor immune infiltration in pan-cancer by XiaoJun Duan, Rihan Wu, Mingyang Zhang, Kexin Li, Lei Yu, Huirong Sun, Xingxia Hao, Changshan Wang

“…In this study, the data originated from the Genotype-Tissue Expression (GTEx) and the Cancer Genome Atlas (TCGA) databases were input into multiple online bioinformatic tools to study the characteristics of NOTCH1 in pan-cancer. …”
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Dynamic Variation in Hippocampal Metabolism after Acute Stress Exposure: An In Vivo Proton Magnetic Resonance Spectroscopy Study at 9.4 T by Yoon Ho Hwang, Min-Hee Lee, Chang-Soo Yun, Yong-Tae Kim, Hyeon-Man Baek, Bong Soo Han, Dong Youn Kim

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Structures and strategies for retaining an international pediatric cohort from birth: Lessons from The Environmental Determinants of Diabetes in the Young (TEDDY) study by Patricia Gesualdo, Jessica Melin, Rachel Karban, Claire Crouch, Michael Killian, Diane Hopkins, Annika Adamsson, Joanna Stock, Suzanne Bennett Johnson, Judith Baxter

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Unhealthy Phenotype as Indicated by Salivary Biomarkers: Glucose, Insulin, VEGF-A, and IL-12p70 in Obese Kuwaiti Adolescents by Mor-Li Hartman, J. Max Goodson, Ping Shi, Jorel Vargas, Tina Yaskell, Danielle Stephens, Maryann Cugini, Hatice Hasturk, Roula Barake, Osama Alsmadi, Sabiha Al-Mutawa, Jitendra Ariga, Pramod Soparkar, Jawad Behbehani, Kazem Behbehani, Francine Welty

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Causal Effects of Air Pollution, Noise, and Shift Work on Unstable Angina and Myocardial Infarction: A Mendelian Randomization Study by Qiye Ma, Lin Chen, Hao Xu, Yiru Weng

“…Summary statistics were derived from large genome-wide association studies (GWASs) from the UK Biobank and the FinnGen consortium (Helsinki, Finland), with replication using an independent GWAS data source for myocardial infarction. …”
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An Outbreak of Human Coronavirus OC43 Infection and Serological Cross-Reactivity with SARS Coronavirus by David M Patrick, Martin Petric, Danuta M Skowronski, Roland Guasparini, Timothy F Booth, Mel Krajden, Patrick McGeer, Nathalie Bastien, Larry Gustafson, Janet Dubord, Diane MacDonald, Samara T David, Leila F Srour, Robert Parker, Anton Andonov, Judith Isaac-Renton, Nadine Loewen, Gail McNabb, Alan McNabb, Swee-Han Goh, Scott Henwick, Caroline Astell, Jian Ping Guo, Michael Drebot, Raymond Tellier, Francis Plummer, Robert C Brunham

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Morphological and phylogenetic features of the Crimean population of <i>Juniperus deltoids</i> R.P. Adams by A. O. Lantushenko, O. O. Korenkova, A. A. Syrovets, Ya. V. Meger, P. A. Korenkov, O. M. Shevchuk

“…Nuclear (ITS internal transcribed spacer) and chloroplast (petN-psbM, trnS-trnG) non-coding regions of the genome were used for genetic analysis. Studies have shown that the nuclear regions of genes have greater variability than chloroplast regions. …”
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The Use of Machine Learning to Create a Risk Score to Predict Survival in Patients with Hepatocellular Carcinoma: A TCGA Cohort Analysis by Samer Tohme, Hamza O Yazdani, Amaan Rahman, Sanah Handu, Sidrah Khan, Tanner Wilson, David A Geller, Richard L Simmons, Michele Molinari, Christof Kaltenmeier

“…The current study uses Artificial Neural Network (ANN) and Classification Tree Analysis (CTA) to create a gene signature score that can help predict survival in patients with HCC. Methods. The Cancer Genome Atlas (TCGA-LIHC) was analyzed for differentially expressed genes. …”
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