iSciencePub Date : 2025-06-26DOI: 10.1016/j.isci.2025.112993
Tero Luukkonen , Juhani Teeriniemi
{"title":"Is there progress in the adsorbent development for water treatment?","authors":"Tero Luukkonen , Juhani Teeriniemi","doi":"10.1016/j.isci.2025.112993","DOIUrl":"10.1016/j.isci.2025.112993","url":null,"abstract":"<div><div>Adsorption technology is an essential part of modern water treatment. However, only a handful of adsorbent materials are used industrially, which is in striking contrast with the exponentially increasing scientific publishing activity. In this perspective, the aim is to discuss the global progress on the adsorbent materials development by using the reported adsorption capacities as a simple probe. An automated text analyzer employing a large language model was used to extract adsorption data. Total 11,664 scientific journal articles about ammonium, arsenic, lead, methylene blue, or nitrate adsorption covering years 1973–2023 were analyzed. When the adsorption capacities were plotted as a function of the publication year, a two-fold trend was revealed: most of the studies (i.e., up to the 50–75% percentile ranks) revealed none or only modest improvement in the adsorption capacities, while the very best materials exhibited staggering capacities up to the order of 10<sup>3</sup>–10<sup>4</sup> mg g<sup>−1</sup>.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 8","pages":"Article 112993"},"PeriodicalIF":4.6,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144672333","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iSciencePub Date : 2025-06-26DOI: 10.1016/j.isci.2025.113014
Chunjie Wang , Fang Bai , Luyao Li , Kuipeng Yu , Xiangdong Yang
{"title":"Inhibiting ANP32E protects against acute kidney injury by regulating autophagy via the AMPK pathway","authors":"Chunjie Wang , Fang Bai , Luyao Li , Kuipeng Yu , Xiangdong Yang","doi":"10.1016/j.isci.2025.113014","DOIUrl":"10.1016/j.isci.2025.113014","url":null,"abstract":"<div><div>Ischemia-reperfusion (I/R) injury is a secondary injury that frequently occurs during acute kidney injury (AKI) treatment. Acidic nuclear phosphoprotein 32 family member E (ANP32E) disorders are associated with several pathological conditions linked to renal dysfunction. However, the role and mechanism of ANP32E in AKI remain unclear. An AKI mouse model was established by I/R. Additionally, we used microarray technology and <em>in vitro</em> assays to examine the molecular function of ANP32E. In this study, we found that ANP32E was increased in the I/R model. Knockdown of ANP32E promoted autophagy, further preventing kidney tubular cell apoptosis and improving renal function. Transcriptome sequencing indicated that suppressing ANP32E activated the AMP-activated protein kinase (AMPK)/autophagy signaling pathway. In summary, these findings suggest that ANP32E plays a role in pathogenesis and provide a new avenue for the treatment of acute ischemic kidney injury.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 8","pages":"Article 113014"},"PeriodicalIF":4.6,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588954","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iSciencePub Date : 2025-06-26DOI: 10.1016/j.isci.2025.113013
David Maestro , Ana Palanca , Helena Soto , I. Llarena , Alisa Nicole DeGrave , Gabriela Guedes , Guilherme Henrique de Oliveira , André Luiz Coelho Conceição , Verónica Mieites , Jose M. Icardo , Carlos Sanchez-Cano , Olga M. Conde , Susanne Lutz , Aitziber L. Cortajarena , Ana V. Villar
{"title":"Cardiac fibrosis inhibitor CTPR390 prevents structural and morphological changes in human engineered cardiac connective tissue","authors":"David Maestro , Ana Palanca , Helena Soto , I. Llarena , Alisa Nicole DeGrave , Gabriela Guedes , Guilherme Henrique de Oliveira , André Luiz Coelho Conceição , Verónica Mieites , Jose M. Icardo , Carlos Sanchez-Cano , Olga M. Conde , Susanne Lutz , Aitziber L. Cortajarena , Ana V. Villar","doi":"10.1016/j.isci.2025.113013","DOIUrl":"10.1016/j.isci.2025.113013","url":null,"abstract":"<div><div>Cardiac fibrosis is a key characteristic of heart failure. CTPR390, an experimental anti-fibrotic inhibitor targeting Hsp90, has shown success in animal models, but remains unexplored in human cardiac models. This study evaluated an engineered cardiac connective tissue (ECCT) model, focusing on changes in the extracellular matrix and fibroblasts. Results showed that CTPR390 prevented architectural changes in TGFβ1-activated ECCT, preserving tissue perimeter, collagen fibers alignment while reducing structured areas and degree of collagen structuration. CTPR390 treatment reduced cell area of fibroblasts under tension, without changes in the internal rounded cells devoid of tension. Fibroblast recruitment to tension areas was diminished, showing biomechanical behavior similar to control ECCT. This treatment also lowered the gene and protein expression of key pro-fibrotic markers. Here, advanced biotechnology was employed to detect the detailed structure of tissue fibrosis reduction after administering CTPR390, representing a significant advancement toward clinical application for cardiac fibrosis treatment.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 8","pages":"Article 113013"},"PeriodicalIF":4.6,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iSciencePub Date : 2025-06-26DOI: 10.1016/j.isci.2025.112991
Pradip Kumar Jena , Suryasikha Samal , Rashmi Rekha Samal , Soumya Ranjan Panigrahi , Urmila Baral , Subhalaxmi Behera , Jayanta Kumar Biswas , C.S.K. Mishra
{"title":"Evaluating millet biochar as mitigator of pesticide toxicity in soil using biomarkers","authors":"Pradip Kumar Jena , Suryasikha Samal , Rashmi Rekha Samal , Soumya Ranjan Panigrahi , Urmila Baral , Subhalaxmi Behera , Jayanta Kumar Biswas , C.S.K. Mishra","doi":"10.1016/j.isci.2025.112991","DOIUrl":"10.1016/j.isci.2025.112991","url":null,"abstract":"<div><div>Pesticide buildup in agricultural soils disrupts ecosystem function by harming soil biota and microbial activity. This study evaluates biochar derived from finger millet biomass as a remediation agent for pesticide contaminated soil. Characterization of the biochar using XRD, SEM, FTIR, and GC-MS revealed a porous structure suitable for adsorbing organic pollutants. Molecular docking showed strong interactions between biochar and the pesticides, dimethoate, and pretilachlor. Biochar application in contaminated soil enhanced total protein content and reduced lipid peroxidation, lactate dehydrogenase (LDH), and catalase (CAT) activities in the earthworm (<em>Eisenia fetida</em>) tissue. Activities of soil exoenzymes: amylase, invertase, and cellulase increased in response to biochar amendment, indicating improved microbial function. These findings suggest that finger millet biochar effectively lowers pesticide toxicity while supporting soil biological recovery, offering a sustainable approach in maintaining soil health.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 8","pages":"Article 112991"},"PeriodicalIF":4.6,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144605200","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iSciencePub Date : 2025-06-26DOI: 10.1016/j.isci.2025.113011
Zhaolong Wang , Han Cui , Wenyi Yan , Guangming Zhang , Pengfei Wang , Xiaoyang Liu , Zhijun Ren , Zhi Sun , Wenfang Gao
{"title":"Comprehensive environmental assessment of typical Chinese industrial metal production processes","authors":"Zhaolong Wang , Han Cui , Wenyi Yan , Guangming Zhang , Pengfei Wang , Xiaoyang Liu , Zhijun Ren , Zhi Sun , Wenfang Gao","doi":"10.1016/j.isci.2025.113011","DOIUrl":"10.1016/j.isci.2025.113011","url":null,"abstract":"<div><div>To promote energy conservation and emission reduction, a quantitative assessment of pollutants from metal production is imperative. However, conventional life cycle assessment cannot provide detail environmental impact assessment for pollutants (e.g., waste water, waste gas, and solid waste) in metal productions. In this research, by analyzing 39 kinds of pollutants, a comprehensive environmental assessment (CEA) was conducted for 31 kinds of typical industrial metal-production processes in China. For CEA, Li, In, Cr, K, and Hg have higher environmental impact. Under global warming potential (GWP), 5 metals with higher carbon emission impacts are as follows: Nb > Ta > Mo > Cr > Au. A comprehensive analysis of CEA and GWP revealed that Cr has the most severe environmental impact (CEA: 74.99; GWP: 48500 kg CO<sub>2</sub> eq./kg), while Ca exhibits the minimal influence (CEA: 0.05; GWP: 1.02 kg CO<sub>2</sub> eq./kg). Overall, this research offers valuable insights to optimize relevant production processes.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 8","pages":"Article 113011"},"PeriodicalIF":4.6,"publicationDate":"2025-06-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144694947","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iSciencePub Date : 2025-06-25DOI: 10.1016/j.isci.2025.112987
Hao Sheng , Yingying Zhang , Ruixuan Cong , Shuai Wang , Da Yang , Zhenglong Cui , Xuefei Huang , Rongshan Chen , Jiapeng Liu , Wei Ke , Weifeng Lv
{"title":"Deep-learning based colorectal cancer pathological analysis with hyperspectral light field microscopy","authors":"Hao Sheng , Yingying Zhang , Ruixuan Cong , Shuai Wang , Da Yang , Zhenglong Cui , Xuefei Huang , Rongshan Chen , Jiapeng Liu , Wei Ke , Weifeng Lv","doi":"10.1016/j.isci.2025.112987","DOIUrl":"10.1016/j.isci.2025.112987","url":null,"abstract":"<div><div>5D hyperspectral light field (H-LF) integrates multi-angular and multi-spectral observation, offering a comprehensive opportunity to capture more detailed information from biological samples. In this article, we integrate hyperspectral light field microscopy imaging to analyze H&E-stained whole slide images (WSIs) of colorectal cancer (CRC). Specifically, we design a triple separable transformer encoder (HLFTST) that efficiently extracts features by decoupling the 5D H-LF data into lower-dimensional components and applying self-attention for global interaction. We also introduce a text encoder-decoder to align H-LF features with language, enabling automatic cell classification and pathology report generation through a three-stage training pipeline. Experiments show our method outperforms 2D, 3D, and 4D baselines, improving precision by up to 4.88% and F1 score by 4.21% across five CRC cell categories. Additionally, it generates meaningful pathology descriptions, highlighting its potential for enhancing diagnostics and supporting personalized treatment in broader biomedical settings.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 8","pages":"Article 112987"},"PeriodicalIF":4.6,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657153","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iSciencePub Date : 2025-06-25DOI: 10.1016/j.isci.2025.112994
Emmanuel O. Atofarati , Christopher C. Enweremadu
{"title":"Industry 4.0 enabled calorimetry and heat transfer for renewable energy systems","authors":"Emmanuel O. Atofarati , Christopher C. Enweremadu","doi":"10.1016/j.isci.2025.112994","DOIUrl":"10.1016/j.isci.2025.112994","url":null,"abstract":"<div><div>The integration of the fourth industrial revolution technologies, including artificial intelligence (AI), machine learning (ML), the Internet of Things (IOT), digital twins, and blockchain, is advancing calorimetry and heat transfer in renewable energy systems. This review examines how these technologies improve thermal efficiency, enable real-time system monitoring, and support predictive maintenance across solar, wind, geothermal, and bioenergy applications. AI-driven models are discussed for optimizing complex heat transfer behaviors, while IoT frameworks facilitate continuous calorimetric data acquisition. Digital twins support virtual simulations, and blockchain ensures data security. A comprehensive evaluation of recent research identifies key challenges such as computational demands, data security, and policy gaps. The article proposes future directions such as developing hybrid AI-physics models, enhancing explainable AI, conducting long-term performance validation, and standardization frameworks to enable the reliable deployment of smart thermal management systems for renewable energy.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 7","pages":"Article 112994"},"PeriodicalIF":4.6,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144631880","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"The posterior capsular central amygdala showing synaptic coactivation with nociplastic pain-associated parabrachial neurons in mice","authors":"Takao Okuda , Sawako Uchiyama , Naoko Sato , Yae K. Sugimura , Yukari Takahashi , Makoto Tsuda , Fusao Kato","doi":"10.1016/j.isci.2025.113001","DOIUrl":"10.1016/j.isci.2025.113001","url":null,"abstract":"<div><div>Projections from the external lateral parabrachial nucleus (elPB) to the central amygdala (CeA) are a key pathway for nociceptive signals and play a crucial role in establishing nociplastic pain sensitization, a state of heightened pain without nociceptor activation or nerve injury. To investigate their roles in nociplastic pain, we aimed to analyze how pain-activated elPB neurons transmit information to pain-activated CeA neurons. Using transgenic TRAP2 mice that underwent transient localized inflammation, we selectively expressed marker proteins, light-sensitive channels, and chemogenetic receptors in pain-activated neurons. We found that the pain-activated (“nociTRAPed”) neurons in the elPB project extensively to the CeA, particularly to the caudal half of the capsular CeA (defined as “posterior CeC” or pCeC), where they form robust functional connections with nociTRAPed pCeC neurons, promoting nociplastic sensitization. We propose that the pCeC serves as the site of direct co-activation with pain-activated elPB neurons, translating peripheral nociceptive information into CeA excitation.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 8","pages":"Article 113001"},"PeriodicalIF":4.1,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144721595","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Graded remapping of prefrontal representations preserves a cumulative record of distinct events within an environment","authors":"Yangzi Chen , Gaqi Tu , Lizhe Zhang , Kaori Takehara-Nishiuchi","doi":"10.1016/j.isci.2025.113009","DOIUrl":"10.1016/j.isci.2025.113009","url":null,"abstract":"<div><div>Motivationally significant events, such as rewards and threats, modify neural representations of the environment where they occur. The medial prefrontal cortex (mPFC) forms map-like representations anchored to these events. Using miniscope calcium imaging, we investigated how unexpected threats affected mPFC cell activity in mice, navigating a familiar path toward rewards. The introduction of threats increased the density of active cells near the threat location and triggered the emergence of a distinct population activity pattern that spanned the entire path. Notably, the difference between the new and original patterns was greater in the path segment leading to the new threats than in the segment leading to the existing rewards. This differentiation persisted during the subsequent learning of threat probabilities but ceased upon completion. Thus, event-induced remapping of mPFC population activity is scaled by the proximity to new events, enabling seamless integration of new events into the mental map of familiar environments.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 8","pages":"Article 113009"},"PeriodicalIF":4.6,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144588971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
iSciencePub Date : 2025-06-25DOI: 10.1016/j.isci.2025.112995
Daniel O. Omokpariola
{"title":"Spatiotemporal analysis of atmospheric aerosols in African environments using MERRA-2 data (1980–2024): Impacts on climate extremes","authors":"Daniel O. Omokpariola","doi":"10.1016/j.isci.2025.112995","DOIUrl":"10.1016/j.isci.2025.112995","url":null,"abstract":"<div><div>This study investigates atmospheric aerosol trends and their climatic impacts across Africa from 1980 to 2024 using MERRA-2 reanalysis data. It reveals rising concentrations of organic and black carbon, dust, and PM<sub>2</sub>.<sub>5</sub>, largely driven by industrialization and urbanization. These aerosols influence climate extremes by altering radiation balance and cloud dynamics, contributing to increased heatwave frequency, temperature rise, and precipitation variability. The study employs spatiotemporal analysis and predictive modeling to assess aerosol-climate interactions and their implications for human health, agriculture, and water resources. Findings highlight consistent warming, worsening drought conditions, and elevated public health risks, particularly in urban and arid regions. This work underscores the need for targeted adaptation strategies and air quality management to mitigate the socio-environmental impacts of climate change in Africa.</div></div>","PeriodicalId":342,"journal":{"name":"iScience","volume":"28 8","pages":"Article 112995"},"PeriodicalIF":4.6,"publicationDate":"2025-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144596511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":2,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}