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	<title>TGF-β signaling &#8211; Science</title>
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	<title>TGF-β signaling &#8211; Science</title>
	<link>https://scienmag.com</link>
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		<title>Plant Compounds Show Promise in Taming Radiation-Induced Fibrosis Through TGF-β Control</title>
		<link>https://scienmag.com/plant-compounds-show-promise-in-taming-radiation-induced-fibrosis-through-tgf-%ce%b2-control/</link>
		
		<dc:creator><![CDATA[Drew Townsend]]></dc:creator>
		<pubDate>Sat, 03 Oct 2026 17:31:16 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[berberine]]></category>
		<category><![CDATA[curcumin]]></category>
		<category><![CDATA[EGCG]]></category>
		<category><![CDATA[fibrosis]]></category>
		<category><![CDATA[fibrosis prevention strategies]]></category>
		<category><![CDATA[molecular mechanisms of fibrosis]]></category>
		<category><![CDATA[natural anti-fibrotic agents]]></category>
		<category><![CDATA[oxidative stress in tissue damage]]></category>
		<category><![CDATA[phytochemicals]]></category>
		<category><![CDATA[phytochemicals in fibrosis treatment]]></category>
		<category><![CDATA[plant-derived bioactive compounds]]></category>
		<category><![CDATA[quercetin]]></category>
		<category><![CDATA[radiation therapy side effects]]></category>
		<category><![CDATA[radiation-induced fibrosis]]></category>
		<category><![CDATA[radiation-induced tissue injury]]></category>
		<category><![CDATA[radioprotection]]></category>
		<category><![CDATA[radiotherapy]]></category>
		<category><![CDATA[resveratrol]]></category>
		<category><![CDATA[Smad pathway]]></category>
		<category><![CDATA[TGF-beta signaling pathway]]></category>
		<category><![CDATA[TGF-β role in wound healing]]></category>
		<category><![CDATA[TGF-β signaling]]></category>
		<category><![CDATA[TGF-β/Smad signaling pathway]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=231118</guid>

					<description><![CDATA[A new review details how plant-derived compounds such as curcumin, resveratrol, and EGCG modulate TGF-β signaling to potentially limit radiation-induced fibrosis, while cautioning that clinical validation is still lacking.]]></description>
										<content:encoded><![CDATA[<p>Radiotherapy saves millions of lives every year, but it leaves a damaging signature in the healthy tissue that surrounds a tumor. Among the most troublesome late effects is fibrosis, a progressive stiffening and scarring of organs and skin that can emerge months or years after treatment and severely compromise quality of life. A new review published in Molecular Biology Reports examines whether bioactive compounds derived from plants, known collectively as phytochemicals, can intervene in the central molecular driver of this process, the transforming growth factor-beta (TGF-β) signaling pathway, and thereby limit radiation-induced normal tissue injury.</p>
<p>TGF-β sits at the heart of the body&#8217;s wound-healing machinery, and ionizing radiation hijacks that machinery in a destructive way. When tissue is irradiated, reactive oxygen species are generated that can directly activate latent TGF-β stored in the extracellular matrix, converting the inactive precursor into its potent signaling form. Decades of experimental work, including studies in irradiated murine mammary gland and lung, have shown that TGF-β levels rise in a dose-dependent fashion after thoracic irradiation and correlate with the later development of pulmonary fibrosis. Once activated, the cytokine binds to cell-surface receptors and triggers the phosphorylation of Smad2 and Smad3 proteins, which then translocate into the nucleus to reprogram gene expression toward collagen production, matrix remodeling, and inflammatory signaling.</p>
<p>The pathological consequences of this cascade are well characterized. TGF-β drives the transition of resident fibroblasts into myofibroblasts, the contractile cells that churn out excessive extracellular matrix and deposit collagen throughout the injured tissue. It also promotes epithelial-mesenchymal transition, a process in which epithelial cells lose their normal identity and acquire invasive, matrix-producing characteristics, further amplifying the fibrotic response. In addition, the pathway engages non-canonical branches, including the MAPK and PI3K/Akt cascades, which cross-talk with the Smad system and reinforce inflammation, cell survival, and matrix deposition. Because TGF-β is also implicated in tumor progression and immunosuppression, modulating this axis is a delicate balancing act for any therapeutic strategy aimed at protecting normal tissue during cancer treatment.</p>
<p>Enter the phytochemicals. The review, led by Pouya Goleij and colleagues with contributions from researchers across Iran, the United States, Saudi Arabia, and South Korea, surveys a diverse group of plant-derived molecules with reported multi-target effects on TGF-β signaling. The roster includes curcumin from turmeric, resveratrol from grapes, epigallocatechin gallate (EGCG) from green tea, quercetin from many fruits and vegetables, berberine from barberry, honokiol from magnolia bark, and silibinin from milk thistle. Each of these compounds has been studied extensively in preclinical models of fibrosis, and each appears to converge, by one route or another, on the TGF-β axis.</p>
<p>The mechanistic details vary by compound but share recurring themes. Curcumin has been shown to inhibit Smad signaling in kidney epithelial cells, to downregulate the TGF-β/Smad2/3 pathway in thyroid carcinoma cells, and to block the differentiation of lung fibroblasts into myofibroblasts, in part through activation of the nuclear receptor PPARγ. EGCG appears to interact directly with the TGF-β type II receptor, suppressing signaling at the receptor level, and has been reported to block TGF-β1/Smad-driven epithelial-mesenchymal transition in cancer cells. Quercetin suppresses TGF-β/Smad signaling in keloid-derived fibroblasts and blocks the TGF-β1/PI3K/AKT pathway in models of peritoneal adhesions. Berberine engages the TGF-β receptor itself and attenuates fibrosis through AMPK-mediated inhibition of TGF-β1/Smad signaling. Honokiol and silibinin likewise dampen Smad2/3 phosphorylation and reduce matrix protein expression in lung, renal, and skin fibrosis models.</p>
<p>What makes these findings particularly relevant to radiotherapy is that several of the compounds have now been tested in radiation-specific settings, not merely in chemically induced fibrosis. Curcumin attenuated radiation-induced inflammation and fibrosis in rat lungs, and liposomal curcumin inhibited radiation pneumonitis while sensitizing lung tumors to radiation, an encouraging combination of normal tissue protection and tumor control. Quercetin inhibited radiation-induced skin fibrosis in animal models and, delivered in liposomes, protected against radiation-induced pulmonary injury. EGCG inhibited irradiation-induced pulmonary fibrosis in adult rats and protected intestinal epithelial cells from ionizing radiation in vitro and in vivo. Resveratrol, combined with alpha-lipoic acid, mitigated radiation-induced pneumonitis and lung fibrosis in experimental studies. Berberine has been evaluated for radiation-induced skin injury using proteomic and network pharmacology approaches, and silibinin protected normal lung tissue against radiation injury without reducing the therapeutic efficacy of radiotherapy against lung cancer in preclinical work.</p>
<p>The review is careful to flag a major caveat: most of the mechanistic evidence for these compounds derives from non-radiation fibrosis models, such as those induced by bleomycin, carbon tetrachloride, or silica. While those models share downstream fibrotic pathways with radiation injury, the initiating events differ, and the redox-driven activation of latent TGF-β that is characteristic of irradiated tissue may not be fully recapitulated. Direct validation in radiation-specific models is therefore essential before the preclinical promise can be considered firmly established. The authors also note complexity in the biology itself, as resveratrol has been reported to exert dose-dependent anti-fibrotic or even pro-fibrotic effects in the kidney, a reminder that phytochemicals are not uniformly protective and that dose, context, and tissue type all matter.</p>
<p>Early clinical signals exist but remain preliminary. A randomized, double-blind, placebo-controlled trial of curcumin in thirty breast cancer patients reported reduced severity of radiation dermatitis, and a pilot trial suggested radioprotective effects of curcumin supplementation in prostate cancer patients. Oral nanomicelle curcumin was evaluated for preventing radiotherapy-induced mucositis in head and neck cancer patients, and a combination antioxidant formulation including resveratrol showed protective effects against skin toxicity in breast radiotherapy. EGCG has been tested in a prospective three-arm randomized trial for preventing radiation-induced esophagitis in lung cancer patients and in a phase 2 double-blind, placebo-controlled trial for preventing dermatitis in breast cancer patients receiving postoperative radiotherapy. These studies are mostly small-scale and, in some cases, uncontrolled, and the review emphasizes that their findings require confirmation in larger, adequately powered, well-designed clinical trials before any firm claims of benefit can be made.</p>
<p>Several outstanding questions will shape the field&#8217;s next steps. The most critical concern is whether dampening TGF-β signaling in patients undergoing radiotherapy might inadvertently compromise tumor control, given the pathway&#8217;s established roles in cancer progression, immune evasion, and resistance to therapy; silibinin&#8217;s preclinical profile, which protected normal lung without reducing therapeutic efficacy, offers a template for the kind of evidence that will be needed. Pharmacokinetics pose another hurdle, as compounds like curcumin and resveratrol have notoriously low bioavailability, which has driven interest in nano-enabled and liposomal delivery systems, such as the nano-formulated EGCG that ameliorated silica-induced pulmonary fibrosis in rats. Safety in patients with impaired organ function, the possibility of paradoxical pro-fibrotic effects at certain doses, and the challenge of timing interventions relative to the course of radiotherapy all remain open. Still, the convergence of mechanistic plausibility, multi-target preclinical activity, and early human signals positions these plant-derived molecules as credible candidates for supportive strategies against radiation-induced normal tissue injury, pending the rigorous clinical validation that the review&#8217;s authors rightly demand.</p>
<p><strong>Subject of Research:</strong> Phytochemical modulation of TGF-β signaling in radiation-induced fibrosis</p>
<p><strong>Article Title:</strong> Phytochemicals modulating TGF-β signaling in radiation-induced fibrosis</p>
<p><strong>Article References:</strong> Goleij, P., Mirzaei, M., Babamohamadi, M., Sadreddini, S., Abolfazli, S., Tabari, M. A. K., Movafagh, A., Aschner, M., &amp; Khan, H. (2026). Phytochemicals modulating TGF-β signaling in radiation-induced fibrosis. <em>Molecular Biology Reports, 53</em>(1), Article 1653. <a href="https://doi.org/10.1007/s11033-026-12867-8" rel="noopener noreferrer">https://doi.org/10.1007/s11033-026-12867-8</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1007/s11033-026-12867-8" rel="noopener noreferrer">10.1007/s11033-026-12867-8</a></p>
<p><strong>Keywords:</strong> TGF-β signaling, radiation-induced fibrosis, phytochemicals, curcumin, resveratrol, EGCG, quercetin, berberine, Smad pathway, radiotherapy, fibrosis, radioprotection</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">231118</post-id>	</item>
		<item>
		<title>Hidden immune cell states may reveal which sepsis patients will survive</title>
		<link>https://scienmag.com/hidden-immune-cell-states-may-reveal-which-sepsis-patients-will-survive/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Thu, 01 Oct 2026 16:20:22 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[Biomarkers]]></category>
		<category><![CDATA[biomarkers for sepsis prognosis]]></category>
		<category><![CDATA[flow cytometry]]></category>
		<category><![CDATA[IL1R2]]></category>
		<category><![CDATA[immune cell dysfunction in severe infections]]></category>
		<category><![CDATA[immune cell states and sepsis outcomes]]></category>
		<category><![CDATA[immune response in septic shock]]></category>
		<category><![CDATA[immune suppression markers in sepsis]]></category>
		<category><![CDATA[immunometabolism]]></category>
		<category><![CDATA[immunosuppression]]></category>
		<category><![CDATA[impact of M-MDSCs on immune regulation]]></category>
		<category><![CDATA[M-MDSCs]]></category>
		<category><![CDATA[monocytes]]></category>
		<category><![CDATA[monocytic myeloid-derived suppressor cells in sepsis]]></category>
		<category><![CDATA[predicting sepsis patient survival]]></category>
		<category><![CDATA[role of monocytes in sepsis progression]]></category>
		<category><![CDATA[sepsis]]></category>
		<category><![CDATA[Sepsis immune cell behavior]]></category>
		<category><![CDATA[sepsis mortality and immune profiling]]></category>
		<category><![CDATA[septic shock]]></category>
		<category><![CDATA[Single-Cell RNA Sequencing]]></category>
		<category><![CDATA[systemic inflammation in sepsis]]></category>
		<category><![CDATA[TGF-β signaling]]></category>
		<category><![CDATA[VSIG4]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=223522</guid>

					<description><![CDATA[Single-cell sequencing has revealed five distinct developmental states of monocytic myeloid-derived suppressor cells in sepsis, and a combined VSIG4 and IL1R2 blood test derived from this map strongly predicts which patients will die.]]></description>
										<content:encoded><![CDATA[<p>Sepsis remains one of the most feared conditions in modern medicine, a runaway response to infection that can shut down organs within hours. Each year roughly 49 million people develop the syndrome worldwide, and about 11 million of them die, accounting for nearly a fifth of all global deaths. Even among patients who reach the hospital alive, septic shock, the most severe form, carries a mortality rate that can exceed 30 percent. Now a team of researchers in China has taken a major step toward explaining why some patients succumb while others recover, by dissecting the behavior of a mysterious family of immune cells that has long divided the field.</p>
<p>The cells in question are monocytic myeloid-derived suppressor cells, or M-MDSCs. These cells arise from monocytes, the white blood cells that normally serve as first responders and antigen presenters in the immune system. Early in sepsis, monocytes pump out inflammatory signals such as IL-1β, IL-6, and TNF-α, fueling the systemic inflammation that damages tissues. As the disease progresses, however, a subset of monocytes loses its HLA-DR surface molecules, loses its ability to present antigen, and instead begins actively suppressing other immune cells through molecules like arginase 1, indoleamine 2,3-dioxygenase, and TGF-β. The paradox has been that although this suppression might seem protective against the initial inflammatory storm, its persistence is now considered harmful, leaving patients vulnerable to secondary infections and chronic critical illness.</p>
<p>The central obstacle has been heterogeneity. The markers most commonly used to identify M-MDSCs, including CD33, CD11b, CD14, and low or absent HLA-DR, do not cleanly separate suppressive M-MDSCs from ordinary resting monocytes. Worse, studies of MDSCs in animal models and in humans have produced contradictory conclusions about whether these cells help or harm. In the new study, published in the Journal of Advanced Research, investigators led by Feng Wang, Fan He, and Liming Cheng enrolled 195 patients with sepsis at Tongji Hospital, dividing them into those with non-septic shock, survivors of septic shock, and non-survivors of septic shock, and then applied single-cell RNA sequencing to resolve the confusion.</p>
<p>The first surprise came from conventional flow cytometry. Although the percentage of HLA-DR-positive monocytes declined progressively with disease severity, and although M-MDSC frequency correlated positively with SOFA organ dysfunction scores overall, the raw abundance of M-MDSCs performed poorly as a prognostic tool, with an area under the curve of only 0.564 for distinguishing survivors from non-survivors. Even more striking, the correlation between M-MDSC frequency and SOFA score reversed direction in the patients who ultimately died. Something about the cells themselves, rather than their numbers, appeared to hold the prognostic information.</p>
<p>To capture that information, the team purified CD14-positive monocytes from patients classified as having either high or low HLA-DR expression and sequenced them individually on the 10x Genomics platform, integrating the data with a healthy donor control. After quality filtering, 29,545 cells yielded nine distinct transcriptional clusters, ranging from naïve and interferon-stimulated monocytes to pro-inflammatory monocytes and true M-MDSCs marked by high RETN and low HLA gene expression. Crucially, the vast majority of HLA-DR-low CD14-positive monocytes from sepsis patients proved to be authentic M-MDSCs, confirming that this clinically accessible fraction is the right place to look for the suppressive cells.</p>
<p>Zooming in on 11,858 M-MDSCs, the researchers identified five subsets, named for their signature genes. S100A_M-MDSCs expressed S100A12, GAPDH, and LGALS1 and were enriched for mitochondrial respiration and inflammatory response. IL1R2_M-MDSCs expressed IL1R2, FOSB, and DACH1 and showed a striking dual profile, combining positive regulation of cytokine production with negative regulation of the immune response. THBS1_M-MDSCs expressed THBS1, MTSS1, and ID2 and were dominated by TGF-β receptor signaling. Two smaller populations, an interferon-stimulated subset and a PPBP-expressing subset corresponding to monocyte-platelet aggregates, rounded out the picture. Together, the three dominant subsets accounted for roughly 90 percent of all M-MDSCs.</p>
<p>Pseudotime trajectory analysis then revealed that these subsets represent developmental stages rather than separate lineages. Early-stage S100A_M-MDSCs sit at the origin of the trajectory, brimming with pro-inflammatory genes. Middle-stage IL1R2_M-MDSCs and THBS1_M-MDSCs occupy a transitional zone, the former producing inflammatory mediators such as CXCL8 and IFITM2 while the latter ramps up TGF-β signaling. By the late stage, both subsets converge on a strongly immunosuppressive program, co-expressing genes such as ZEB2, FMN1, and ADAM17 that dampen immune responses. Notably, sepsis-derived M-MDSCs lacked the canonical suppressive machinery seen in cancer, including ARG1, NOS2, PD-L1, and CD73, underscoring that these cells behave differently depending on disease context.</p>
<p>The team also traced the transcriptional and metabolic rewiring that accompanies this maturation. Transcription factor analysis showed CEBPD and ETS1 active early, FOSB and CREB5 peaking in the middle stage, and EZH2 and FOXN3 accumulating to maximal levels late. Metabolically, early cells relied on oxidative phosphorylation and arginine metabolism, while later subsets shifted toward fatty acid biosynthesis and branched-chain amino acid metabolism. Seahorse assays confirmed that HLA-DR-low monocytes from sepsis patients had reduced basal and maximal mitochondrial respiration but elevated fatty acid synthase, a metabolic signature consistent with the transition from inflammatory monocyte to suppressive M-MDSC.</p>
<p>Among the markers identified, VSIG4 stood out. This surface molecule was barely detectable on monocytes from healthy donors but significantly elevated in sepsis patients, and it was specifically expressed on the suppressive THBS1_M-MDSC subset. In laboratory experiments, silencing VSIG4 in THP-1 monocyte cells boosted their production of IL-1β, IL-6, and TNF-α, while blocking VSIG4 on HLA-DR-low monocytes from sepsis patients restored the proliferation and HLA-DR expression of co-cultured CD4-positive T cells. These results establish VSIG4 as a functional marker of the suppressive state, not merely a passive correlate.</p>
<p>The translational payoff came when the researchers combined flow cytometric measurements of VSIG4 and IL1R2 on HLA-DR-low CD14-positive monocytes. Neither marker alone reliably separated survivors from non-survivors, but together they achieved a sensitivity of 92.3 percent and a specificity of 90 percent in the tested cohort. Using the maximum of the two values, the combined metric reached an area under the curve of 0.935, with 84.62 percent sensitivity and 93.33 percent specificity, and it outperformed SOFA score, lactate, and age in a multivariable model. A cutoff of 33 percent stratified 28-day survival in Kaplan-Meier analysis. The authors caution that the sample sizes for the sequencing and validation arms were small, that all patients came from a single center, and that longitudinal validation is still needed. Even so, the study delivers something the field has lacked: a coherent map of M-MDSC development in human sepsis, from pro-inflammatory beginnings to immunosuppressive maturity, with surface markers that can be measured in a clinical flow cytometry lab. If larger trials confirm the findings, a simple two-marker blood test could one day help clinicians identify, within days of admission, which septic patients are sliding toward the immunoparalysis that kills so many, and direct immunorestorative therapies to those who need them most.</p>
<p><strong>Subject of Research:</strong> Functional heterogeneity of monocytic myeloid-derived suppressor cells in sepsis prognosis</p>
<p><strong>Article Title:</strong> Illustrating the functional heterogeneity of M-MDSCs to predict sepsis outcomes</p>
<p><strong>Article References:</strong> Tang, G., Xing, W., Zhu, L., Lu, Y., Jiang, K., Wu, S., Sun, Z., Hou, H., Cheng, L., He, F., &amp; Wang, F. (2026). Illustrating the functional heterogeneity of M-MDSCs to predict sepsis outcomes. <em>Journal of Advanced Research, 88</em>, 807-824. <a href="https://doi.org/10.1016/j.jare.2026.01.008" rel="noopener noreferrer">https://doi.org/10.1016/j.jare.2026.01.008</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1016/j.jare.2026.01.008" rel="noopener noreferrer">10.1016/j.jare.2026.01.008</a></p>
<p><strong>Keywords:</strong> sepsis, septic shock, M-MDSCs, single-cell RNA sequencing, VSIG4, IL1R2, TGF-β signaling, immunosuppression, biomarkers, flow cytometry, monocytes, immunometabolism</p>
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