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    Artificial Intelligence and Environmental Impact: Moving Beyond Humanizing Vocabulary and Anthropocentrism
    (Mary Ann Liebert, Inc, 2025) Karakas, Umit; Ozdemir, Vural
    Artificial intelligence (AI) and its applications in digital health, bioengineering, and society have significant material impacts on the environment owing to AI's vast energy demands and energy consumption, carbon footprints, and water usage to cool data centers and generate electricity to power the data centers. Yet, the environmental footprints of AI remain underappreciated and inadequately acknowledged. This is significant, particularly in this era of climate emergency and ongoing threats to planetary energy and water supplies. The vocabulary attached to AI often aims to mimic positive human capacities such as warmness and care. However, these attempts to humanize AI and digital technology come with an anthropocentric gaze and blind spots that bracket out the environmental impacts and footprints of AI and privilege humans and technology over nonhuman animals and planetary ecological limits. In medicine, the environmental impacts of large language models range from water consumption and carbon emission to rare mineral usage. This commentary and innovation analysis question and queer the popular imagination of AI and digital technology as things that only exist in the immaterial world of cyberspace. In the course of research on AI in planetary health, we must be cognizant of its materiality, ecological impacts, and massive energy and water demands. We argue that moving away from anthropocentric narratives and vocabulary in AI design and praxis would bode well to live within planetary ecological limits so that AI and emerging digital technologies best serve robust and responsible science and all life on the planet Earth.
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    Could eumelanin molecule from Streptomyces parvus BSB49 strain be a potential anticancer agent for lung cancer?
    (2023) Kızıl, Hamit Emre; Bayram, Sinan; Ozturk, Serdar; Karakas, Umit
    Melanins, which are divided into five different subgroups as eumelanin, pheomelanin, allomelanin, neuromelanin and pyomelanin, are a heterogeneous and amor- phous biopolymer family. Although melanin is produced in many different ways today, it is more practical, and more economical to produce melanin using bacterial strains. The eumelanin pigment, which is the subject of this study, was obtained using Streptomyces parvus BSB49 strain, and its antiproliferative effect at various concentrations against small cell (DMS-114) and non-small cell (H-460) lung cancer was determined. According to our results, the synthesized eumelanin molecule was statistically cytotoxic on non-small cell lung cancer cell line (H-460) at concentrations of 3.125 and 1.56 ?g/mL after 24 hours of treatment (IC50=8 ?g/mL) and only at a concentration of 3.125 ?g/mL after 48 hours of treatment (IC50=8.4 ?g/mL). In the small cell lung cancer cell line (DMS-114), no statistically cytotoxic concentration was detected (p<0.05).
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    Diagnostic and Prognostic Significance of miR-155, miR-181, miR-221, miR-222, and miR-223 Expression in Myelodysplastic Syndromes and Acute Myeloid Leukemia
    (Mdpi, 2025) Ardic, Cemile; Ay, Mustafa Ertan; Cevik, Kenan; Tombak, Anil; Izci Ay, Ozlem; Karakas, Umit; Erdal, Mehmet Emin
    Background: Myelodysplastic syndromes (MDSs) and acute myeloid leukemia (AML) are clonal hematological disorders that share molecular origins but present with distinct clinical features. MicroRNAs (miRNAs) are key post-transcriptional regulators, and their altered expression may reflect biological shifts contributing to disease progression. Methods: Expression levels of miR-155, miR-181, miR-221, miR-222, and miR-223 were analyzed by RT-qPCR in bone marrow samples from 37 MDS patients, 20 AML patients, and 7 controls. Group comparisons were performed using ANOVA (with Benjamini-Hochberg correction) and Tukey post hoc testing. Diagnostic performance and network behavior were evaluated using ROC analysis, Pearson correlation matrices, and principal component analysis (PCA). Results: miR-155, miR-181, and miR-223 were upregulated in AML, whereas miR-221 and miR-222 were downregulated. miR-222 showed the highest diagnostic accuracy (AUC similar to 0.87 for both AML vs. control and MDS vs. control). Its expression was significantly higher in high IPSS-R MDS cases (p = 0.046), with a similar upward tendency for miR-221 (p = 0.054). Progressive loss of coordinated miRNA expression was observed from controls to MDS and AML. PCA supported these findings by showing separation mainly driven by miR-222 and miR-155. Conclusions: Combined miRNA profiling highlights miR-222 and, to a lesser extent miR-155, as consistent indicators of myeloid disease transformation. While further validation in larger and genetically stratified cohorts is warranted, these findings support the potential contribution of miRNA signatures to diagnostic evaluation and risk stratification in MDS and AML, in line with precision hematology approaches.
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    Disrupted miRNA Biogenesis Machinery Reveals Common Molecular Pathways and Diagnostic Potential in MDS and AML
    (Mdpi, 2025) Cevik, Kenan; Ay, Mustafa Ertan; Tombak, Anil; Ay, Ozlem Izci; Karakas, Umit; Erdal, Mehmet Emin
    Background: Myelodysplastic syndromes (MDS) and acute myeloid leukemia (AML) are clonal stem cell disorders in which disrupted post-transcriptional regulation contributes to aberrant hematopoiesis and leukemic transformation. The miRNA biogenesis machinery, which comprises Drosha, DGCR8, Dicer, TARBP2, and AGO1, ensures the precise maturation of miRNAs that control lineage commitment and proliferation. However, the extent to which alterations in this pathway reshape hematopoietic gene networks during myeloid disease evolution remains largely unexplored. Methods: Bone marrow samples from newly diagnosed, untreated MDS and AML patients and matched healthy controls were analyzed for the expression of five key miRNA biogenesis genes using quantitative real-time PCR. Statistical comparisons, correlation matrices, and ROC analyses were performed to characterize gene-expression differences. These results were integrated with multigene logistic modeling, decision-curve analysis, and exploratory random forest/SHAP approaches to evaluate molecular interactions and diagnostic relevance. Results: DROSHA, DICER1, and TARBP2 were significantly downregulated in both MDS and AML, suggesting impaired miRNA maturation and a loss of global post-transcriptional control. DGCR8 expression increased across higher-risk MDS groups, suggesting compensatory activation of the Microprocessor complex, whereas AGO1 levels remained relatively stable, consistent with partial maintenance of RISC function. Correlation analyses revealed a co-regulated DROSHA-TARBP2-AGO1 module. ROC, logistic, and machine learning models identified DGCR8 and DICER1 as the strongest diagnostic discriminators. The integrated five-gene signature achieved high discriminative performance (AUC approximate to 0.98) and showed promise but remains preliminary potential for clinical application. Conclusions: Our findings suggest that defects in miRNA biogenesis disrupt hematopoietic homeostasis, reflecting common mechanisms in MDS and AML. The dysregulation of DICER1, DGCR8, and TARBP2 offers insights into miRNA-driven leukemogenesis and may pave the way for miRNA-based diagnostic and therapeutic strategies, pending validation in larger cohorts. Although transcript-level data are provided, future studies should include functional validation to determine the impact on downstream miRNA processing and hematopoietic pathways.
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    Effects of electromagnetic radiation on neurogenesis and gene expression in amniocytes
    (Taylor & Francis Ltd, 2023) Uzun, Cosar; Erdal, Nurten; Ay, Ozlem Izci; Karakas, Umit; Yildirim, Didem Derici; Durukan, Huseyin; Akdag, Mahmut Berat
    The aim of the study was to investigate the genetic effects of commonly used radiofrequency on the amniocytes of pregnant women by examining the changes in the expression of genes related to signal transduction and neurogenesis induced by electromagnetic fields of radiofrequencies of 1800 and 2100 MHz by real-time PCR. Upon exposure of the amniocytes to electromagnetic radiation of 2100 MHz at high field strength, the expression levels of genes with important functions in the Wnt signaling pathways as well as neurogenesis-related genes were increased. The findings suggest that radiofrequency at high field strengths can have genotoxic effects during pregnancy.
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    Short-Term Effects of Extremely Low-Frequency Electromagnetic Fields on Neurogenesis and Wnt Signaling in Amniotic Fluid Cells
    (Necmettin Erbakan Univ, Fac Medicine-Neu Press, 2025) Uzun, Cosar; Karakas, Umit; Ay, Mustafa Ertan; Ay, Ozlem Izci; Yildiri, Didem Derici; Erdal, Nurten; Erdal, Mehmet Emin
    Background: Extremely low-frequency electromagnetic fields (ELF-EMF) at 50 Hz are prevalent in household electrical systems. Although various studies have examined the effects of ELF-EMF on cell proliferation and gene expression, its impact on amniotic fluid cells (AFCs) remains unclear. Objectives: This study aimed to assess the potential effects of ELF-EMFs on gene expression related to neurogenesis and the Wnt signaling pathway in AFCs. Methods: AFCs were isolated from amniotic fluid obtained via amniocentesis and divided into five groups: control, sham, and three groups exposed to different ELF-EMF intensities (1 mT, 2 mT, 3 mT for 30 minutes/day for 7 days). Expression levels of genes involved in neurogenesis (HES1, Neurog1, Neurog2, Neurod1) and Wnt signaling (SFRP2, SFRP4, SFRP5, APC1) were analyzed using real-time PCR. Results: ELF-EMF exposure did not result in significant changes in gene expression among the experimental groups compared to controls. Conclusion: Short-term exposure (Acute exposure) to ELF-EMF at moderate intensities does not significantly impact gene expression related to neurogenesis or Wnt signaling in AFCs. Future studies should explore prolonged exposure (chronic exposure) and a broader range of intensities to evaluate developmental impacts more comprehensively.