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Life

Life is an international, peer-reviewed, open access journal related to fundamental themes in life sciences from basic to applied research, published monthly online by MDPI.
The Spanish Association for Cancer Research (ASEICA) is affiliated with Life and its members receive a discount on the article processing charges.
Indexed in PubMed | Quartile Ranking JCR - Q1 (Biology)

All Articles (10,693)

Background: Local specific biomarkers for MASLD risk stratification are urgently needed in Argentina. Aim: The aim of the study was to characterize the interaction of gut microbiome signatures and genetic and clinical risk factors for MASLD in patients with diabetes from different regions of Argentina. Materials and Methods: We recruited 214 patients with diabetes from different regions of Argentina. Anthropometric, clinical, and lifestyle data were obtained from all participants, who also underwent abdominal ultrasound for MASLD diagnosis and oral swabbing. The PNPLA3 gene was amplified by PCR from the swabs, and the rs738409 genotype was determined via bidirectional sequencing. To profile the MASLD-associated microbiome, stool was collected from 170 participants. V4 16S rRNA gene sequencing was performed, and reads were analyzed using QIIME2 2024.10.1. R Studio 2023.05.1 was used for statistical analyses. Results: MASLD prevalence was 77.9%, with similar rates of occurrence in all regions represented. FIB-4 scores < 1.3 and > 2.67 were detected in 55.3% and 7.4% of patients, respectively. Half of the diabetic patients had the PNPLA3 GG genotype, with the highest rates occurring in patients from Northwestern Argentina (64.9%; p = 0.02 vs. Buenos Aires). The PNPLA3 GG genotype was an independent risk factor for FIB-4 score (p = 0.0008) and a protective factor against glycated hemoglobin (p = 0.004), fasting plasma glucose (p = 0.008), and cholesterol levels (p = 0.02). Marked regional differences were observed in microbiota diversity and composition in Argentina. After adjusting for geographical region, Negativibacillus genus was exclusively detected in diabetic patients with MASLD and GG carriers. The Catenibacterium genus was related to FIB-4 > 2.67. Short-chain fatty acid-producing bacteria were linked to the absence of MASLD. Conclusions: Although some geographical regions of Argentina were not represented in this study and these results therefore cannot be generalized to the country as a whole, these specific signatures could be useful as biomarkers for MASLD risk stratification in Argentines with diabetes.

6 February 2026

Bacterial diversity and taxa abundance differences in the gut microbiota of T2DM patients from various geographical regions in Argentina. (A) Shannon diversity index plotted based on the geographical origin of the samples. (B) Unweighted UniFrac distances (beta diversity) plotted based on the geographical region of origin of the samples. (C) Weighted UniFrac distances (beta diversity) plotted based on the geographical region of origin of the samples. (D) Core microbiome for samples from BA city. (E) Core microbiome for samples from SOUTH. (F) Core microbiome for samples from rural BA. (G) Core microbiome for samples from NWA. (H) Venn diagrams represent shared core genera between groups. (I) Volcano plot from ANCOMBC2 analysis at the genus level between BA city and rural BA. (J) Volcano plot from ANCOMBC2 analysis at the genus level between NWA and SOUTH. (K) Volcano plot from ANCOMBC2 analysis at the genus level between BA city and SOUTH. (L) Volcano plot from ANCOMBC2 analysis at the genus level between rural BA and SOUTH. (M) Volcano plot from ANCOMBC2 analysis at the genus level between BA city and NWA. (N) Volcano plot from ANCOMBC2 analysis at the genus level between NWA and rural BA. In each volcano plot, the x-axis (effect size) shows the log2 fold change, which represents the magnitude of the difference between the two analyzed geographical regions. Negative values indicate features that are more abundant in the first- mentioned region in the plot legend, while positive values on the x-axis indicate that features are more abundant in the second-mentioned geographical region. The y-axis (significance) shows the −log10 (q values). A larger negative log-transformed q value means stronger statistical significance. The threshold for significance was set as q &lt; 0.05, i.e., −log10 (FDR q value) &gt; 1.3. ANCOMBC2, Analysis of Composition of Microbiomes with Bias Correction 2.

Objective: We aimed to characterize the somatic mutational landscape of oropharyngeal squamous cell carcinoma (OPSCC) and identify potential genomic drivers of tumor progression and therapeutic resistance using the AACR GENIE database. Study Design: Retrospective genomic analysis was employed. Setting: We used publicly available data from the American Association for Cancer Research (AACR) Project GENIE database accessed via cBioPortal. Methods: We analyzed 412 tumor samples from 401 patients diagnosed with OPSCC. Somatic mutations, clinical variables and tumor characteristics were extracted and analyzed. Statistical comparisons of mutation frequencies across gender and tumor stage (primary vs. metastatic) were conducted. Co-occurrence and mutual exclusivity analyses were performed to identify significant genomic patterns. Results: The most frequently mutated genes included TP53 (30.1%), PIK3CA (26.0%), and KMT2D (21.6%). Gender-specific analyses suggested potential enrichment of TP53 and MET mutations in females and of ZNF750 in males. Distinct mutation patterns were observed between primary and metastatic tumors; primary tumors were enriched for mutations in TP53 and CDKN2A, while metastatic lesions harbored unique alterations in genes like CBLB and BUB1B, suggesting pathways involved in immune evasion and chromosomal instability may drive disease progression. Co-occurrence was noted between PIK3CA and FBXW7, and mutual exclusivity between TP53 and CYLD. Conclusions: This study identifies distinct genomic signatures in OPSCC subgroups, highlighting candidate biomarkers in pathways like PI3K/AKT signaling that warrant further investigation. Validating these markers in prospective trials is a critical next step to translate these findings into personalized therapeutic strategies for OPSCC patients.

6 February 2026

Oncoprint of recurrent mutations in OPSCC. (A,B) Single oncoprint split into two panels for readability. Alterations shown for genes present in ≥ 5 samples with VAF ≥ 5% and coverage ≥ 100×. * Not all samples were profiled.

Endothelial integrity is essential for cardiovascular health, and circulating endothelial progenitor cells, particularly endothelial colony-forming cells (ECFCs), are key contributors to vascular repair and maintenance. Long non-coding RNAs (lncRNAs) have emerged as novel epigenetic regulators of endothelial physiology and pathology. Building on our previous work identifying the lncRNA KLRK1-AS1 as a positive modulator of ECFC wound healing, we aimed to elucidate its role in endothelial biology. Cord blood-derived ECFCs were subjected to siRNA-mediated silencing of KLRK1-AS1, followed by blinded evaluations of monolayer morphology, barrier stability using ECIS impedance measurements, assessments of proliferation, and spheroid-based angiogenic activity. SiRNA-mediated silencing of KLRK1-AS1 induced detectable alterations in ECFC monolayer morphology (p = 0.047), while proliferation remained unaffected. Notably, KLRK1-AS1 knockdown significantly compromised endothelial barrier integrity, resulting in a 44% reduction in impedance after 48 h (p < 0.001), suggesting weakened intercellular contacts. In contrast, loss of KLRK1-AS1 enhanced angiogenic behaviour, demonstrated by an increased number of sprouts (+62%, p = 0.031). Together, these findings indicate that KLRK1-AS1 supports a quiescent, stable endothelial phenotype, with intact barrier function, while its depletion shifts ECFCs toward a more angiogenic, activated state. Our results identify KLRK1-AS1 as a previously unrecognised regulator of endothelial function.

5 February 2026

Silencing of ECFCs with siRNA for KLRK1-AS1 reduces its expression. Statistics used Wilcoxon signed-rank test for raw data (ΔCt values) 48 h after transfection. Relative expression is shown as mean ± SD of n = 10 donors.
  • Hypothesis
  • Open Access

As human space exploration advances towards establishing sustainable Martian habitats, achieving autonomous food production is a critical requirement. The potato (Solanum tuberosum L.), with its notable environmental resilience and nutritional efficiency, is a prime candidate crop. This study develops a conceptual framework for Martian potato cultivation by systematically analyzing the profound disparities between Martian conditions and plant physiology. We identify and evaluate seven fundamental challenges: atmospheric composition, extreme temperatures, water scarcity, soil properties, nutrient deficiencies, absent microbiota, and radiation/gravity effects. To address these challenges, we propose a phased, testable roadmap comprising four stages: (I) screening and bio-engineering of multi-stress-tolerant potato genotypes; (II) phased domestication via Earth-based analog experiments to define adaptability thresholds; (III) deployment of a controlled cultivation module within a Martian habitat, integrating targeted technological interventions; and (IV) conceptual exploration of extra-habitat agricultural potential. The primary contribution of this work is a structured set of hypotheses and key performance indicators for each stage, translating visionary goals into a defined research agenda to guide future empirical work in extraterrestrial agronomy.

5 February 2026

Classification of Challenges for Martian Potato Cultivation.

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Life - ISSN 2075-1729