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	<title>pathways &#8211; Science</title>
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	<title>pathways &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>From Soil to Plate: How Tiny Plastics Climb the Food Chain</title>
		<link>https://scienmag.com/from-soil-to-plate-how-tiny-plastics-climb-the-food-chain/</link>
		
		<dc:creator><![CDATA[Denise Maddox]]></dc:creator>
		<pubDate>Fri, 25 Sep 2026 17:30:42 +0000</pubDate>
				<category><![CDATA[Technology and Engineering]]></category>
		<category><![CDATA[bioaccumulation]]></category>
		<category><![CDATA[bioaccumulation of plastics in ecosystems]]></category>
		<category><![CDATA[degradation of plastics into micro and nanoplastics]]></category>
		<category><![CDATA[ecotoxicology]]></category>
		<category><![CDATA[effects of plastics on soil quality]]></category>
		<category><![CDATA[environmental impact of microplastics]]></category>
		<category><![CDATA[food chain]]></category>
		<category><![CDATA[food safety]]></category>
		<category><![CDATA[health risks of plastic particles in food]]></category>
		<category><![CDATA[ingestion of plastics by animals]]></category>
		<category><![CDATA[micro]]></category>
		<category><![CDATA[microplastics]]></category>
		<category><![CDATA[microplastics in agricultural soils]]></category>
		<category><![CDATA[microplastics transfer from soil to plants]]></category>
		<category><![CDATA[nanoplastics]]></category>
		<category><![CDATA[nanoplastics in water and sediments]]></category>
		<category><![CDATA[pathways]]></category>
		<category><![CDATA[plant uptake]]></category>
		<category><![CDATA[plastic contamination of food chain]]></category>
		<category><![CDATA[plastic pollution in atmospheric aerosols]]></category>
		<category><![CDATA[risk assessment]]></category>
		<category><![CDATA[soil ecosystem]]></category>
		<category><![CDATA[sources of microplastic pollution]]></category>
		<category><![CDATA[trophic transfer]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=214476</guid>

					<description><![CDATA[A new review synthesizes how micro- and nanoplastics enter plants and may pass to animals, while cautioning that evidence of true trophic transfer remains limited.]]></description>
										<content:encoded><![CDATA[<p>Plastic pollution has quietly become one of the defining contamination problems of the modern era, and its most troubling dimension may be the smallest. A new peer-reviewed review published in the journal Microplastics and Nanoplastics by Javad Karimi of Shiraz University in Iran and Sachin Seth and Reshma Sinha of Central University of Himachal Pradesh in India pulls together the scattered experimental literature on how microplastics and nanoplastics move from agricultural soils into plants, and from plants into the animals that eat them. The review, published open access on 25 September 2026, arrives at a moment when these particles have been detected in agricultural soils, water bodies, sediments, and even the atmosphere, raising urgent questions about whether the food on our plates carries an invisible cargo of degraded plastic.</p>
<p>The scale of the problem begins with the sheer ubiquity of the particles themselves. Microplastics, generally defined as plastic fragments smaller than five millimeters, and nanoplastics, which measure below one micrometer, are generated through the fragmentation and degradation of larger plastic materials as well as through direct release from industrial and consumer sources. Once in the environment, these particles do not travel alone. The review emphasizes that they can interact with co-contaminants, including heavy metals and persistent organic pollutants, effectively acting as tiny rafts that concentrate other toxins. They may also alter fundamental environmental properties and biological processes in the soils where food is grown, changing the very substrate on which agriculture depends.</p>
<p>Plants sit at the critical interface between this environmental contamination and the food web. As primary producers, they are the first biological gate through which soil-borne plastics must pass on their way to herbivores and, ultimately, to humans. The review&#8217;s synthesis of experimental evidence indicates that both microplastics and nanoplastics can be taken up by plants through their roots, and under certain conditions through aerial tissues such as leaves. But the two size classes behave very differently. Nanoscale particles, by virtue of their diminutive dimensions, generally show a far greater potential for internalization into plant tissues and for subsequent redistribution to above-ground parts, the very portions of the plant that most often end up as food.</p>
<p>The technical explanation for this size-dependent behavior lies in plant anatomy. Root cell walls, with their porous structure, act as a physical sieve that excludes particles above a certain diameter while permitting much smaller particles to pass. Once inside the root, particles must navigate the endodermis, a selective barrier that normally regulates the flow of water and solutes into the vascular system. Nanoplastics small enough to breach these defenses can be transported through the xylem, the plant&#8217;s water-conducting plumbing, and deposited in stems, leaves, and fruits. This translocation pathway is what transforms a soil contamination problem into a food safety problem, because it places plastic particles directly into edible plant biomass rather than leaving them on surfaces that might be washed away.</p>
<p>What happens when animals consume these contaminated plants is the second half of the story, and it is here that the review is most careful to draw distinctions. Following ingestion, experimental studies indicate that nanoplastics in particular can cross biological barriers in the gut and reach tissues beyond the gastrointestinal tract. In some model organisms, exposure to these particles has been associated with oxidative stress, inflammatory responses, cellular damage, and alterations in physiological or behavioral endpoints. These findings are striking, and they have fueled viral headlines about plastics invading the bodies of virtually every organism studied. Yet the review&#8217;s authors urge restraint in interpretation, noting that the relevance of such laboratory findings to environmentally realistic exposure levels, and to human health specifically, remains uncertain.</p>
<p>This distinction between exposure and harm is one of the review&#8217;s central contributions. The authors place particular emphasis on separating three concepts that are often conflated in public discussion: evidence of exposure, meaning that particles are present in an organism; demonstrated trophic transfer, meaning that particles move from one organism to another through feeding; and bioaccumulation and biomagnification, meaning that particle concentrations increase within an organism or up the food chain. While plant uptake is now well supported experimentally, the extent to which plant-associated plastics subsequently undergo trophic transfer to animals under environmentally realistic conditions remains less well established. Much of the strongest evidence comes from controlled laboratory settings where particle concentrations, sizes, and polymer types may not reflect what animals actually encounter in a field or pasture.</p>
<p>The uncertainty stems from several interacting factors that the review dissects in detail. Particle size matters enormously, as the nanoscale fraction behaves fundamentally differently from larger microplastics. Physicochemical properties such as polymer type, surface charge, and the presence of additives and adsorbed pollutants shape how particles interact with biological membranes and immune systems. Environmental conditions, including soil chemistry, moisture, and the presence of other contaminants, influence both plant uptake and particle fate. And analytical limitations compound everything: detecting and characterizing micro- and nanoplastics in complex biological matrices remains technically difficult, and the lack of standardized methods makes it hard to compare results across studies or to distinguish genuine contamination from laboratory background noise.</p>
<p>The detection challenge deserves particular attention because it underpins every other conclusion in the field. Identifying plastic particles in plant roots, leaves, or animal tissue requires methods capable of confirming both the chemical identity of the polymer and the size and morphology of the particle, all at very low concentrations in matrices full of natural organic material. The review surveys the analytical approaches currently available and highlights how methodological inconsistency has produced a fragmented evidence base. Without standardized protocols, a study reporting high particle counts in one food item may not be comparable to a study reporting low counts in another, leaving regulators and the public without a clear picture of actual exposure levels in the diet.</p>
<p>Against this backdrop of uncertainty, the review also considers what can be done. The authors argue that improving the characterization of transfer pathways through standardized methods, environmentally realistic field studies, and interdisciplinary research spanning plant science, animal physiology, and analytical chemistry is essential for strengthening environmental risk assessment. Better science, they contend, will inform proportionate strategies for reducing plastic inputs and exposure across agricultural and terrestrial food systems. That word, proportionate, is telling. The goal is not to dismiss concern but to ensure that mitigation efforts, from reducing plastic mulch and packaging in agriculture to improving waste management, are targeted at the pathways and particle types that genuinely matter for exposure.</p>
<p>The broader significance of the review lies in its sober framing of a topic prone to alarm. There is no doubt that plastic particles are present in agricultural environments and that plants can take them up, with nanoplastics posing the greater internalization risk. There is also no doubt that these particles can cause biological effects in laboratory organisms at sufficient doses. What remains to be demonstrated, with the rigor that food safety policy demands, is how efficiently these particles move through real food chains, whether they accumulate to meaningful concentrations in animal tissues, and what, if any, consequences follow for human consumers. By mapping the pathways, cataloging the uncertainties, and calling for standardized and realistic research, Karimi, Seth, and Sinha have provided both a warning and a roadmap, one that acknowledges the genuine threat of plastic pollution while insisting that the next generation of studies be designed to answer the questions that matter most.</p>
<p><strong>Subject of Research:</strong> Trophic transfer of micro- and nanoplastics from plants to animals in terrestrial food chains</p>
<p><strong>Article Title:</strong> Pathways of micro- and nanoplastics transfer from plants to animals in the food chain</p>
<p><strong>Article References:</strong> Karimi, J., Seth, S., &amp; Sinha, R. (2026). Pathways of micro- and nanoplastics transfer from plants to animals in the food chain. <em>Microplastics and Nanoplastics</em>. <a href="https://doi.org/10.1186/s43591-026-00232-2" rel="noopener noreferrer">https://doi.org/10.1186/s43591-026-00232-2</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s43591-026-00232-2" rel="noopener noreferrer">10.1186/s43591-026-00232-2</a></p>
<p><strong>Keywords:</strong> microplastics, nanoplastics, plant uptake, trophic transfer, food chain, food safety, bioaccumulation, soil ecosystem, ecotoxicology, risk assessment, Pathways, micro-</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">214476</post-id>	</item>
		<item>
		<title>Identification of Candidate Biomarkers and Signaling Pathways Associated with Alzheimer’s Disease Using Bioinformatics Analysis of Next Generation Sequencing Data and Molecular Docking Studies</title>
		<link>https://scienmag.com/identification-of-candidate-biomarkers-and-signaling-pathways-associated-with-alzheimers-disease-using-bioinformatics-analysis-of-next-generation-sequencing-data-and-molecular-docking-studies/</link>
		
		<dc:creator><![CDATA[Cassandra Pierce]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 04:12:09 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Alzheimer]]></category>
		<category><![CDATA[Alzheimer’s disease biomarker discovery]]></category>
		<category><![CDATA[analysis]]></category>
		<category><![CDATA[associated]]></category>
		<category><![CDATA[bioinformatics]]></category>
		<category><![CDATA[bioinformatics pipeline for Alzheimer’s]]></category>
		<category><![CDATA[Biomarkers]]></category>
		<category><![CDATA[Candidate]]></category>
		<category><![CDATA[candidate genes for Alzheimer’s diagnosis]]></category>
		<category><![CDATA[computational approaches to Alzheimer’s research]]></category>
		<category><![CDATA[disease]]></category>
		<category><![CDATA[drug repurposing strategies for Alzheimer’s]]></category>
		<category><![CDATA[gene expression analysis in Alzheimer’s]]></category>
		<category><![CDATA[generation]]></category>
		<category><![CDATA[identification]]></category>
		<category><![CDATA[molecular docking for drug repurposing]]></category>
		<category><![CDATA[molecular mechanisms underlying memory loss]]></category>
		<category><![CDATA[network biology in neurodegenerative diseases]]></category>
		<category><![CDATA[next]]></category>
		<category><![CDATA[next-generation sequencing in neurodegeneration]]></category>
		<category><![CDATA[pathways]]></category>
		<category><![CDATA[signaling]]></category>
		<category><![CDATA[signaling pathways in Alzheimer’s pathology]]></category>
		<category><![CDATA[transcriptomic data analysis in dementia]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=193650</guid>

					<description><![CDATA[Alzheimer's disease remains the most common cause of dementia worldwide and one of the most pressing unsolved problems in modern medicine, yet the molecular events that drive the slow destruction of memory and cognition are still only partially understood. A]]></description>
										<content:encoded><![CDATA[<p>Alzheimer&#8217;s disease remains the most common cause of dementia worldwide and one of the most pressing unsolved problems in modern medicine, yet the molecular events that drive the slow destruction of memory and cognition are still only partially understood. A new bioinformatics study published in Ageing International by Basavaraj Vastrad, Shivaling Pattanashetti and Chanabasayya Vastrad has taken a computational scalpel to a large next-generation sequencing dataset of brain samples, systematically mining thousands of genes to find the handful that may matter most. Their work combines gene expression analysis, network biology, drug repurposing predictions and molecular docking into a single pipeline, offering a fresh and unusually wide-angle view of the disease at the level of individual molecules.</p>
<p>The team started with the publicly available sequencing dataset GSE203206, downloaded from the Gene Expression Omnibus repository, which contains transcriptomic data from 39 Alzheimer&#8217;s disease samples and 8 normal control samples. Using t-tests implemented in the limma R Bioconductor package, they identified 958 differentially expressed genes, with a strikingly symmetric result of 479 genes upregulated and 479 genes downregulated in the diseased brains. That balance alone is noteworthy, because it suggests widespread, bidirectional remodeling of the transcriptome rather than a simple overshoot of one or two processes, and it gives researchers a rich catalogue of candidate players to investigate.</p>
<p>To make biological sense of that gene list, the researchers ran Gene Ontology and pathway enrichment analyses. The upregulated genes clustered mainly around response to stimulus, cytoplasmic functions, small molecule binding and signal transduction, painting a picture of a brain under persistent stress, actively reorganizing its signaling machinery. The downregulated genes, by contrast, were enriched for multicellular organism development, cell junction biology, ion binding and cardiac conduction, hinting that fundamental structural and developmental programs are being quietly dismantled as the disease progresses. These divergent functional signatures reinforce the idea that Alzheimer&#8217;s is not one pathway gone wrong but an entire coordinated system drifting out of tune.</p>
<p>The next step was network analysis. By mapping the differentially expressed genes onto a protein-protein interaction network, the team built a graph containing 4,886 nodes and 10,342 edges, an enormous molecular web from which they extracted the most connected hubs. Ten genes rose to the top: HSP90AA1, FN1, KIT, YAP1, LSM2, SKP1, EIF5A2, TAF9, DDX39B and CDK7. Several of these names will be familiar to neuroscientists. HSP90AA1 encodes a heat shock protein chaperone already flagged by proteomic studies in the entorhinal cortex of Alzheimer&#8217;s patients, while FN1, the fibronectin gene, has recently been linked through rare genetic variants to protection against the notorious APOE ε4 risk factor.</p>
<p>Beyond static expression patterns, the study probed the regulatory layers that might control these hub genes. Constructing a microRNA-hub gene regulatory network, the authors identified hsa-mir-545-3p and hsa-miR-548f-5p as microRNAs that could help orchestrate Alzheimer&#8217;s pathology by fine-tuning multiple hub genes simultaneously. Similarly, a transcription factor-hub gene network implicated PLAG1 and MEF2A as master regulators that may be involved in disease development. This kind of multi-level regulation matters because it suggests that upstream control points, rather than individual downstream genes, could offer the most efficient targets for intervention, and because non-coding RNAs and transcription factors are increasingly seen as versatile biomarkers in neurodegeneration.</p>
<p>Perhaps the most clinically intriguing part of the work is the drug-hub gene interaction analysis, which predicted four existing drug molecules as candidates for Alzheimer&#8217;s treatment: Sulindac, Infliximab, Norfloxacin and Gemcitabine. The logic of repurposing is simple and appealing. These compounds already have established safety profiles, known pharmacokinetics and, in some cases, mechanisms that touch inflammation or cell survival, processes central to Alzheimer&#8217;s biology. Sulindac is a nonsteroidal anti-inflammatory drug, Infliximab is an antibody targeting tumor necrosis factor, and both speak to the chronic inflammatory component that has shadowed Alzheimer&#8217;s research for decades. Gemcitabine and Norfloxacin add further molecular diversity to the candidate pool.</p>
<p>To test these predictions computationally, the researchers performed molecular docking between hub gene products and corresponding active molecules. The docking analysis revealed that Isocryptomerin and Macrophylloside D, natural product-derived compounds, showed strong binding activities to HSP90AA1 and FN1 respectively. Docking scores cannot substitute for wet-lab validation, but favorable computed binding poses provide a rational starting point for medicinal chemists and suggest that these molecules are worth experimental follow-up as potential modulators of the disease&#8217;s most central protein hubs.</p>
<p>The study also evaluated the clinical diagnostic potential of the hub genes using receiver operating characteristic curve analysis, a standard method for estimating how well a biomarker separates diseased from healthy samples. Strong diagnostic performance would mean that measuring these genes, or the proteins and microRNAs they encode, could one day help identify Alzheimer&#8217;s earlier and more reliably than current cognitive assessments and imaging alone. With disease-modifying therapies finally emerging, the window for meaningful intervention depends critically on early detection, making reliable molecular biomarkers one of the field&#8217;s most valuable goals.</p>
<p>As with any computational study, caveats apply. The findings are hypotheses generated from correlation in a modest sample of 39 disease and 8 control brains, and hub genes identified by network centrality do not automatically equal causal drivers. The predicted drug interactions and docking results require validation in cell and animal models before any clinical translation. Nevertheless, the pipeline used here mirrors successful approaches in other diseases and provides a transparent, reproducible map of where future experimental effort should be directed.</p>
<p>Taken together, the work offers new insights into Alzheimer&#8217;s pathogenesis by nominating ten hub genes, two microRNAs, two transcription factors and several repurposable compounds as candidate diagnostic and therapeutic markers. It exemplifies a broader trend in biomedical research: as public sequencing archives grow, computational biology can extract biomedical value from data that already exists, at a fraction of the cost of new clinical trials. For a disease that affects tens of millions of people worldwide and still defies a cure, every new molecular lead, however preliminary, matters. The hub genes, microRNAs and transcription factors identified here now join the growing arsenal of targets that researchers worldwide will test in the years ahead.</p>
<p>The dataset at the heart of this study, GSE203206, is one of a growing number of publicly deposited transcriptomic datasets in the Gene Expression Omnibus, a repository maintained by the National Center for Biotechnology Information. Because such archives are openly accessible, any laboratory with computational resources can reanalyze raw sequencing reads, apply its own statistical thresholds, and cross-check published conclusions. This transparency has become a cornerstone of modern genomics, allowing independent teams to validate biomarker candidates across independent cohorts, a step that will be essential before any of the ten hub genes identified here can be considered a robust diagnostic marker.</p>
<p>Several of the hub genes carry biological stories that extend well beyond Alzheimer&#8217;s research. YAP1, for instance, is the key effector of the Hippo signaling pathway, a conserved cascade best known for controlling organ size and cell proliferation, and it has been increasingly implicated in neural regeneration and glial responses to injury. CDK7 is a cyclin-dependent kinase that functions as part of the transcriptional machinery, phosphorylating the RNA polymerase II tail and thereby regulating the expression of broad gene programs, which makes its dysregulation potentially consequential for many downstream pathways at once. LSM2 and SKP1 participate in RNA processing and ubiquitin-mediated protein degradation respectively, both processes that intersect with the protein homeostasis failures characteristic of neurodegenerative disease.</p>
<p>The involvement of HSP90AA1 is particularly interesting from a therapeutic standpoint. Heat shock protein 90 acts as a molecular chaperone that stabilizes numerous client proteins, many of which are involved in signaling cascades, and chaperone overload has been proposed as a mechanism by which misfolded and aggregated proteins, such as tau and amyloid-beta species, persist in the aging brain. Inhibitors of this chaperone have been explored in oncology for years, meaning that a substantial body of pharmacological knowledge and chemical tool compounds already exists and could be adapted for neurodegeneration research.</p>
<p>The microRNA findings also fit into a broader literature. MicroRNAs are short non-coding RNAs that each typically regulate dozens to hundreds of messenger RNAs, so a single microRNA shift can ripple across entire pathways. Previous work has documented widespread microRNA alterations in Alzheimer&#8217;s brain tissue and even in circulating blood, fueling interest in these molecules as minimally invasive biomarkers detectable in plasma or cerebrospinal fluid. The specific candidates reported here, hsa-mir-545-3p and hsa-miR-548f-5p, now join that expanding catalogue and can be tested for reproducibility in independent sample sets.</p>
<p>Molecular docking itself deserves a note of context. The method models how a small molecule fits into the three-dimensional structure of a target protein and estimates binding strength computationally, often within hours and at negligible cost compared with laboratory screening. Its predictions, however, are only as good as the protein structures and scoring functions used, and docking affinities frequently fail to translate into cellular activity. Natural products such as Isocryptomerin, derived from coniferous plants, and Macrophylloside D offer chemical diversity that synthetic libraries sometimes lack, which is why they attract attention as starting scaffolds. The sensible next steps are biochemical binding assays, neuronal cell models, and ultimately animal studies to determine whether any of these computational leads survives contact with biological reality.</p>
<p><strong>Subject of Research:</strong> Identification of Candidate Biomarkers and Signaling Pathways Associated with Alzheimer’s Disease Using Bioinformatics Analysis of Next Generation Sequencing Data and Molecular Docking Studies</p>
<p><strong>Article Title:</strong> Identification of Candidate Biomarkers and Signaling Pathways Associated with Alzheimer’s Disease Using Bioinformatics Analysis of Next Generation Sequencing Data and Molecular Docking Studies</p>
<p><strong>Article References:</strong> Identification of Candidate Biomarkers and Signaling Pathways Associated with Alzheimer’s Disease Using Bioinformatics Analysis of Next Generation Sequencing Data and Molecular Docking Studies. (n.d.). <a href="https://doi.org/10.1007/s12126-026-09665-9" rel="noopener noreferrer">https://doi.org/10.1007/s12126-026-09665-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s12126-026-09665-9" rel="noopener noreferrer">10.1007/s12126-026-09665-9</a></p>
<p><strong>Keywords:</strong> Identification, Candidate, Biomarkers, Signaling, Pathways, Associated, Alzheimer, Disease, Bioinformatics, Analysis, Next, Generation</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">193650</post-id>	</item>
		<item>
		<title>Underutilized high protein crops in India and pathways for scaling their contribution to protein security</title>
		<link>https://scienmag.com/underutilized-high-protein-crops-in-india-and-pathways-for-scaling-their-contribution-to-protein-security/</link>
		
		<dc:creator><![CDATA[Alan Morgan]]></dc:creator>
		<pubDate>Sat, 12 Sep 2026 01:17:47 +0000</pubDate>
				<category><![CDATA[Agriculture]]></category>
		<category><![CDATA[addressing protein deficiency through traditional crops]]></category>
		<category><![CDATA[climate-resilient protein sources in India]]></category>
		<category><![CDATA[contribution]]></category>
		<category><![CDATA[crops]]></category>
		<category><![CDATA[dietary gaps in Indian vegetarian diets]]></category>
		<category><![CDATA[edible seeds and pods as alternative protein sources]]></category>
		<category><![CDATA[high]]></category>
		<category><![CDATA[impact of rice and wheat dominance on protein intake]]></category>
		<category><![CDATA[India]]></category>
		<category><![CDATA[indigenous protein-rich plants]]></category>
		<category><![CDATA[nutrient-rich leafy greens for food security]]></category>
		<category><![CDATA[pathways]]></category>
		<category><![CDATA[pathways for increasing underutilized crop cultivation]]></category>
		<category><![CDATA[promoting diverse plant-based proteins in India]]></category>
		<category><![CDATA[protein]]></category>
		<category><![CDATA[scaling]]></category>
		<category><![CDATA[scaling indigenous crops for nutrition security]]></category>
		<category><![CDATA[Scientific Research]]></category>
		<category><![CDATA[security]]></category>
		<category><![CDATA[underexploited legume crops for nutrition]]></category>
		<category><![CDATA[Underutilized]]></category>
		<category><![CDATA[underutilized high-protein crops in India]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=193358</guid>

					<description><![CDATA[India's diets remain dominated by rice and wheat, and the nutritional consequences are now starkly quantified. A new review published in Discover Agriculture argues that a largely forgotten reservoir of indigenous plants could help close one of the country's most]]></description>
										<content:encoded><![CDATA[<p>India&#8217;s diets remain dominated by rice and wheat, and the nutritional consequences are now starkly quantified. A new review published in Discover Agriculture argues that a largely forgotten reservoir of indigenous plants could help close one of the country&#8217;s most stubborn nutrition gaps. The study, led by Vaishnavi Tamma and Prayagha Ramesh Kumar with EeVon Goh of the World Vegetable Center, systematically catalogued 28 underutilized crops that contain at least 15 percent protein on a dry-weight basis, a threshold that most staple cereals fail to reach. The authors contend that these species, spanning legumes, protein-rich leafy greens, and edible seeds and pods, represent a practical and climate-resilient lever for addressing the protein deficiency that affects an estimated 73 percent of Indians, more than 90 percent of whom are unaware of their daily protein requirements.</p>
<p>The dietary backdrop is sobering. Roughly 35 percent of Indians identify as vegetarian, yet even among meat, fish, and egg consumers, protein intake falls well short of both national recommendations and the EAT-Lancet planetary health targets. Rice and wheat contribute more than half of daily caloric intake, and their protein content is modest, at approximately 7 and 12 grams per 100 grams respectively. This cereal-heavy pattern is linked to persistent protein-energy malnutrition, with prevalence among children under five reported between 18 and 56 percent in various studies. The review&#8217;s authors argue that simply exhorting people to eat more protein is insufficient; the food system itself must supply affordable, culturally familiar, protein-dense options that do not depend on irrigation, expensive inputs, or fragile supply chains.</p>
<p>To identify candidates, the researchers conducted a structured literature search on Google Scholar using keywords spanning underutilized crops, indigenous foods, neglected species, and protein-rich plants, supplemented by reference-list screening. Species were admitted only if they met a battery of criteria: at least 15 percent protein on a dry-weight basis, adaptability across India&#8217;s arid, semi-arid, and tropical zones, multipurpose utility such as livestock feed, green manure, or biological nitrogen fixation, and compatibility with low-input farming. The 15 percent cutoff deliberately exceeds wheat&#8217;s protein content, ensuring shortlisted crops meaningfully outperform staples. Out of an estimated 25,000 edible underutilized species in India, 28 crops passed the screen. Legumes ranged from 17 to 35 grams of protein per 100 grams of dry seed, leafy greens from 16 to 28 grams per 100 grams of dried leaves, and edible seeds and pods from 20 to 25 grams per 100 grams of flour.</p>
<p>The agronomic case for these species is compelling. Jack bean and sword bean tolerate the marginal soils of arid and semi-arid zones, while winged bean adapts to acidic, well-drained soils and withstands drought, temperature extremes, and pests. Velvet bean thrives in warm, high-rainfall regions and fixes atmospheric nitrogen. Horse gram, cowpea, field bean, rice bean, adzuki bean, and kidney bean are distributed across southern, northeastern, and Himalayan zones, each matched to local rainfall and soil conditions. Leafy species such as drumstick, or moringa, grow widely across peninsular India, while others like jaiur, jarem, and water celery occupy specialized niches in the Darjeeling Himalayas, northeastern states, and Manipur. Many of these plants fit naturally into home gardens, intercropping systems, and agroforestry, offering year-round protein access without displacing staple production.</p>
<p>To understand where each crop currently sits in India&#8217;s food landscape, the team triangulated three independent evidence streams. Culinary documentation drew on regional cookbooks, food blogs, YouTube channels, and cultural archives, yielding 207 unique recipes representing 15 countries. Market mapping scanned major e-commerce platforms including Amazon, Flipkart, and IndiaMART, alongside niche organic and specialty sites, for raw, processed, powdered, and value-added products. Innovation mapping searched academic databases for applied food science, capturing 101 studies on germination, fermentation, extrusion, flour formulation, and product development. Cross-referencing the three streams revealed a highly uneven picture: only a handful of species, notably moringa, horse gram, field bean, kidney bean, and adzuki bean, appear simultaneously in kitchens, markets, and laboratories.</p>
<p>Moringa stands out as the exemplar of full translation. Once a backyard vegetable, it now appears globally in fortified bakery products, noodles, beverages, and supplements, a trajectory the authors attribute to its convergence across all three domains. Horse gram and adzuki bean retain strong culinary roots while entering composite flours, extruded snacks, and fortified weaning foods. By contrast, velvet bean, perilla, and pot cassia have taken a &#8220;supplement-first&#8221; route, marketed as powders, capsules, and extracts rather than everyday foods. Winged bean, field bean, and sword bean remain &#8220;culinary but not commercial,&#8221; embedded in regional diets but absent from value-added formats. Wild species such as vegetable fern, dogal tree leaves, and water celery barely register in any stream, reflecting localized consumption, ecological scarcity, or safety concerns.</p>
<p>The technical literature reveals consistent processing strategies. Partial substitution of legume flours or leaf powders at 5 to 25 percent into cereal products reliably raises protein and micronutrient density, but sensory acceptance declines when substitution exceeds roughly 20 percent, underscoring the need for formulation optimization. Germination, fermentation, extrusion, enzymatic pretreatment, and protein isolation all improve digestibility and reduce anti-nutritional compounds such as phytic acid, glucosinolates, and phenolics. Documented successes include moringa-fortified biscuits and noodles, lablab-enriched breads and macaroni, velvet-bean weaning foods, and winged-bean and adzuki-based tofu, tempeh, and protein isolates. Yet most innovations remain at laboratory or pilot scale, with few studies addressing shelf life, cost-effectiveness, or consumer segmentation. Notably, India accounts for roughly half of documented innovations, while Southeast Asia, East Asia, and Africa contribute about 40 percent, and Western contexts about 7 percent, revealing an Indian strength in culinary integration but a gap in industrial-scale processing research.</p>
<p>The barriers to scaling are as much social and institutional as they are biochemical. A persistent stigma labels many traditional vegetables as &#8220;poor people&#8217;s food,&#8221; eroding demand precisely as urbanization fragments the oral culinary knowledge that sustained them. Farmers often lack access to quality seed, reflecting weak seed systems and extension services that have historically prioritized yield-focused cereals and major pulses. Regulatory ambiguity surrounds novel and medicinally associated species, and quality standards are inconsistent. Meanwhile, detailed amino acid profiles and protein digestibility data, essential for estimating true dietary contribution, remain largely uncharacterized for most shortlisted species. The authors identify these knowledge gaps as a critical constraint on both product development and nutrition policy.</p>
<p>In response, the study proposes a multi-pathway framework linking six domains: product development, culinary promotion, ingredient supply chains, public nutrition programs, education and behavior change, and research-policy integration. Under the product pathway, food technology institutes, small and medium enterprises, and start-ups would convert locally accepted crops into fortified staples, instant mixes, and extruded snacks. Culinary promotion would enlist chefs, culinary schools, and state nutrition missions to normalize consumption through recognizable dishes, such as folding moringa leaves into palak paneer. Supply-chain development would engage farmer producer organizations and processing hubs to aggregate and standardize flours, while public procurement through FSSAI, the Integrated Child Development Services, and the Mid-Day Meal Scheme could institutionalize demand, with women&#8217;s self-help groups as suppliers. Protein literacy campaigns and clinic-based counselling would complete the demand side, supported by research on amino acid composition, bioavailability, sensory acceptance, and varietal improvement.</p>
<p>The review&#8217;s ultimate argument is that protein security in India is a systemic problem that cannot be solved by agronomy or food technology alone. The 28 crops it catalogues already possess the nutritional density, agroecological resilience, and cultural embeddedness needed to matter; what they lack is coordinated investment in seed systems, processing, regulation, and consumer familiarity. By aligning traditional knowledge with modern food science and linking smallholder production with institutional demand, the authors argue, India can move these neglected species from the margins of subsistence to the core of sustainable food systems, advancing national nutrition goals alongside Sustainable Development Goals 2 and 12. The opportunity, they conclude, is timely: climate change is already stressing cereal monocultures, and crops evolved to thrive on marginal land with minimal water may prove among the most resilient assets in the national food portfolio.</p>
<p><strong>Subject of Research:</strong> Underutilized high protein crops in India and pathways for scaling their contribution to protein security</p>
<p><strong>Article Title:</strong> Underutilized high protein crops in India and pathways for scaling their contribution to protein security</p>
<p><strong>Article References:</strong> Tamma, V., Kumar, P. R., &amp; Goh, E. (2026). Underutilized high protein crops in India and pathways for scaling their contribution to protein security. <em>Discover Agriculture, 4</em>(1), Article 284. <a href="https://doi.org/10.1007/s44279-026-00751-9" rel="noopener noreferrer">https://doi.org/10.1007/s44279-026-00751-9</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s44279-026-00751-9" rel="noopener noreferrer">10.1007/s44279-026-00751-9</a></p>
<p><strong>Keywords:</strong> Underutilized, high, protein, crops, India, pathways, scaling, contribution, security, scientific research</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">193358</post-id>	</item>
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		<title>Morality, voices, and self at the edge of reality: a narrative analysis of delusional experiences and pathways to care in schizophrenia</title>
		<link>https://scienmag.com/morality-voices-and-self-at-the-edge-of-reality-a-narrative-analysis-of-delusional-experiences-and-pathways-to-care-in-schizophrenia/</link>
		
		<dc:creator><![CDATA[Glenn Wilkins]]></dc:creator>
		<pubDate>Fri, 11 Sep 2026 23:42:46 +0000</pubDate>
				<category><![CDATA[Social Science]]></category>
		<category><![CDATA[analysis]]></category>
		<category><![CDATA[auditory hallucinations and self-identity]]></category>
		<category><![CDATA[Care]]></category>
		<category><![CDATA[delusional]]></category>
		<category><![CDATA[delusional experiences and moral world]]></category>
		<category><![CDATA[edge]]></category>
		<category><![CDATA[experiences]]></category>
		<category><![CDATA[meaning-making in schizophrenia]]></category>
		<category><![CDATA[moral implications of voices and delusions]]></category>
		<category><![CDATA[Morality]]></category>
		<category><![CDATA[narrative]]></category>
		<category><![CDATA[narrative analysis in mental health research]]></category>
		<category><![CDATA[pathways]]></category>
		<category><![CDATA[pathways to mental health care in psychosis]]></category>
		<category><![CDATA[qualitative analysis of first-person psychiatric accounts]]></category>
		<category><![CDATA[reality]]></category>
		<category><![CDATA[schizophrenia]]></category>
		<category><![CDATA[Schizophrenia patient narratives]]></category>
		<category><![CDATA[self]]></category>
		<category><![CDATA[self-concept disturbances in psychosis]]></category>
		<category><![CDATA[subjective experiences of psychosis]]></category>
		<category><![CDATA[understanding psychotic symptoms beyond clinical scales]]></category>
		<category><![CDATA[voices]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=193134</guid>

					<description><![CDATA[Schizophrenia has long been described through the language of symptoms, scales, and diagnostic checklists, yet a growing body of research argues that this vocabulary misses something essential about what it is actually like to live with the condition. A new]]></description>
										<content:encoded><![CDATA[<p>Schizophrenia has long been described through the language of symptoms, scales, and diagnostic checklists, yet a growing body of research argues that this vocabulary misses something essential about what it is actually like to live with the condition. A new narrative analysis published in npj Schizophrenia examines how people with schizophrenia describe delusional experiences, auditory hallucinations, and disturbances of the self, and how these subjective realities shape the paths they take toward care. The study, titled &#8220;Morality, voices, and self at the edge of reality: a narrative analysis of delusional experiences and pathways to care in schizophrenia,&#8221; positions first-person accounts not as unreliable noise around clinical data but as the primary evidence through which the structure of psychotic experience can be understood.</p>
<p>The central premise of the work is that delusions and voices are not simply false beliefs or misfiring perceptions to be catalogued and eliminated. Instead, they are embedded in a person&#8217;s moral world, their relationships, and their sense of who they are. Narrative analysis, the methodological approach employed in the research, treats the stories people tell about their experiences as structured accounts that reveal how meaning is made, broken, and remade. When a person describes hearing accusatory voices or believing they are being persecuted, the content of those experiences frequently carries moral weight: voices judge, condemn, exonerate, and command; delusions cast the self as victim, savior, sinner, or chosen one. Reading these accounts closely, the researchers argue, exposes a moral architecture within psychosis that standard symptom measures rarely capture.</p>
<p>This moral dimension matters clinically because it shapes behavior in ways that influence pathways to care. A person who hears voices that frame them as wicked may hide the experience out of shame, delaying contact with services. Another who interprets their persecution as divine testing may seek help first from religious leaders rather than psychiatrists. Families, communities, and cultures supply the interpretive frames through which unusual experiences are first understood, and those frames determine whether the first step toward treatment leads to a clinic, a place of worship, a traditional healer, or an emergency room. By reconstructing these narratives, the study illuminates why durations of untreated psychosis vary so widely and why early intervention efforts succeed or fail in different populations.</p>
<p>The question of the self runs through the entire analysis. In phenomenological psychiatry, disturbances of the basic sense of self, sometimes called ipseity disturbance, are considered a core feature of the schizophrenia spectrum rather than a byproduct of symptoms. The narrative accounts examined in the study reflect this: people describe feeling that their thoughts are no longer their own, that the boundary between self and world has become porous, or that they have become a different person entirely. Delusions of control, thought insertion, and referential thinking can all be read as attempts to restore coherence to a self that no longer feels unified. In this reading, a delusion is not merely an incorrect belief but a narrative repair job, an effort to stitch together an experience of selfhood that has come apart at the seams.</p>
<p>Auditory hallucinations receive particularly rich treatment in this framework. Contemporary research on voices has moved decisively away from viewing them as meaningless noise, documenting instead that voices possess identities, genders, emotional tones, and characteristic relationships with the hearer. Some voices are protective, some persecutory, some commanding. The relational quality of voices, the fact that hearing voices is often structurally similar to being in a social relationship, has prompted therapeutic innovations such as avatar therapy and relating-based approaches, in which patients engage with their voices rather than simply suppressing them. Narrative analysis deepens this perspective by showing how voice-hearers themselves narrate the origins, intentions, and moral stances of their voices, and how those narrations change over time and across treatment.</p>
<p>The pathways-to-care component of the study connects these subjective accounts to the practical machinery of mental health systems. Pathways to care research maps the sequence of contacts a person makes between the onset of symptoms and the receipt of specialist treatment, identifying gatekeepers, delays, and drop-off points. Combining this mapping with narrative analysis is methodologically significant: it means delays in care are not treated as administrative problems alone but as outcomes of meaning-making. A belief that one&#8217;s experiences are spiritual rather than psychiatric, or a fear of stigma and coercive treatment, or a voice that commands silence, each constitutes a narrative reason for delay. Understanding care pathways therefore requires understanding the stories that guide behavior before any clinician enters the picture.</p>
<p>The implications for clinical practice are concrete. If delusions serve narrative and moral functions, then treatment that addresses only the truth-value of beliefs, challenging them as factually wrong, may leave the underlying existential concerns intact and may damage the therapeutic alliance in the process. Approaches such as Cognitive Behavioral Therapy for psychosis, Open Dialogue, and need-adapted treatment all share an orientation toward meaning: they ask what a symptom does for a person, what it communicates, and how it fits into their life story, rather than treating it purely as pathology to be eliminated. The study&#8217;s findings lend narrative support to these approaches, suggesting that recovery is often experienced not as the disappearance of unusual experiences but as the reintegration of those experiences into a livable, coherent self-narrative.</p>
<p>The research also carries weight for the ongoing debate over how psychosis should be classified and understood. The diagnostic manuals, DSM and ICD, operationalize schizophrenia through symptom checklists that have proven reliable but whose validity as descriptions of lived experience has been repeatedly questioned. Movements such as phenomenologically oriented psychopathology, Hearing Voices Networks, and the broader epistemic justice agenda in mental health argue that service users&#8217; own accounts constitute a form of expertise that psychiatry has historically undervalued. A narrative analysis of the kind presented here aligns with that agenda, demonstrating that rigorous qualitative methods can extract structured, generalizable insights from first-person experience without reducing it to symptom counts.</p>
<p>Culturally, the study&#8217;s framing invites clinicians and researchers to attend to the moral vocabularies of the communities they serve. Experiences that Western psychiatry codes as hallucinations and delusions are, in many traditions, interpreted as visions, spirit encounters, ancestral communication, or spiritual crisis. These interpretations are not inherently pathological, and in some cases they provide meaning and social support that aid recovery; in others, they delay needed treatment. The task the research sets for mental health systems is neither to impose biomedical interpretation nor to defer entirely to traditional ones, but to understand how a person&#8217;s interpretive community shapes their narrative of distress, and to build pathways to care that engage rather than dismiss those narratives.</p>
<p>Ultimately, the study reframes schizophrenia at what it calls the edge of reality: a condition in which the boundaries between self and world, inner voice and external voice, moral failing and illness, become objects of struggle and reconstruction. Its contribution lies in showing that delusions and voices, far from being incomprehensible outputs of a broken brain, are intelligible human responses to a destabilized sense of self, told in stories that deserve careful listening. For a field increasingly interested in personalized, meaning-sensitive care, the message is direct: the shortest route to understanding psychosis, and to shortening the often painful journey into treatment, may begin with the patient&#8217;s own account of what happened to them and who they became along the way.</p>
<p>Qualitative approaches of this kind complement rather than replace quantitative psychiatry. Where rating scales quantify how severe a symptom is, narrative methods address why an experience matters to the person having it, and the two kinds of information can inform each other in treatment planning.</p>
<p>The emphasis on morality in psychotic content also connects with long-standing observations that themes of guilt, punishment, and judgment appear frequently in both delusions and voice content across cultures. This recurrence suggests that psychotic experiences often recruit the same evaluative capacities people use in ordinary social life, which may explain why they feel so personally significant and so difficult to dismiss.</p>
<p>For early intervention services, the practical lesson is that first contact often depends on whoever the person trusts most at the moment of crisis. Training gatekeepers, including clergy, family members, and primary care staff, to recognize distress and respond without judgment may shorten delays more effectively than campaigns aimed solely at the individual experiencing symptoms.</p>
<p>Finally, the study underscores that recovery narratives are not fixed. As treatment and life circumstances change, people frequently revise the meaning they assign to their voices and beliefs, and clinicians who attend to these revisions can support a more coherent and livable account of self over time.</p>
<p><strong>Subject of Research:</strong> Morality, voices, and self at the edge of reality: a narrative analysis of delusional experiences and pathways to care in schizophrenia</p>
<p><strong>Article Title:</strong> Morality, voices, and self at the edge of reality: a narrative analysis of delusional experiences and pathways to care in schizophrenia</p>
<p><strong>Article References:</strong> Maronchuk, N., Paul, J. L., Post, F., Nomoto, K., Rubinstein, E. B., Mizuno, Y., Shirakura, M., Tomiyama, S., Tutzer, F., Uchida, H., &amp; Hofer, A. (2026). Morality, voices, and self at the edge of reality: a narrative analysis of delusional experiences and pathways to care in schizophrenia. <em>Schizophrenia</em>. <a href="https://doi.org/10.1038/s41537-026-00800-8" rel="noopener noreferrer">https://doi.org/10.1038/s41537-026-00800-8</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41537-026-00800-8" rel="noopener noreferrer">10.1038/s41537-026-00800-8</a></p>
<p><strong>Keywords:</strong> Morality, voices, self, edge, reality, narrative, analysis, delusional, experiences, pathways, care, schizophrenia</p>
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