<?xml version="1.0" encoding="UTF-8"?><rss version="2.0"
	xmlns:content="http://purl.org/rss/1.0/modules/content/"
	xmlns:wfw="http://wellformedweb.org/CommentAPI/"
	xmlns:dc="http://purl.org/dc/elements/1.1/"
	xmlns:atom="http://www.w3.org/2005/Atom"
	xmlns:sy="http://purl.org/rss/1.0/modules/syndication/"
	xmlns:slash="http://purl.org/rss/1.0/modules/slash/"
	>

<channel>
	<title>HIF-1 signaling &#8211; Science</title>
	<atom:link href="https://scienmag.com/tag/hif-1-signaling/feed/" rel="self" type="application/rss+xml" />
	<link>https://scienmag.com</link>
	<description></description>
	<lastBuildDate>Tue, 06 Oct 2026 06:54:45 +0000</lastBuildDate>
	<language>en-US</language>
	<sy:updatePeriod>
	hourly	</sy:updatePeriod>
	<sy:updateFrequency>
	1	</sy:updateFrequency>
	<generator>https://wordpress.org/?v=7.1.2</generator>

<image>
	<url>https://scienmag.com/wp-content/uploads/2024/07/cropped-scienmag_ico-32x32.jpg</url>
	<title>HIF-1 signaling &#8211; Science</title>
	<link>https://scienmag.com</link>
	<width>32</width>
	<height>32</height>
</image> 
<site xmlns="com-wordpress:feed-additions:1">73899611</site>	<item>
		<title>Follicular Fluid Proteins Reveal Metabolic and Immune Clues in Ovarian Syndrome</title>
		<link>https://scienmag.com/follicular-fluid-proteins-reveal-metabolic-and-immune-clues-in-ovarian-syndrome/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Tue, 06 Oct 2026 06:54:45 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[4D label-free quantification]]></category>
		<category><![CDATA[Biomarkers]]></category>
		<category><![CDATA[fertility]]></category>
		<category><![CDATA[fertility treatment biomarkers]]></category>
		<category><![CDATA[follicular fluid]]></category>
		<category><![CDATA[Follicular fluid protein analysis]]></category>
		<category><![CDATA[glycolysis]]></category>
		<category><![CDATA[HIF-1 signaling]]></category>
		<category><![CDATA[hormonal imbalance in ovarian syndrome]]></category>
		<category><![CDATA[immune dysregulation]]></category>
		<category><![CDATA[immune signaling in ovarian health]]></category>
		<category><![CDATA[in vitro fertilization follicular fluid]]></category>
		<category><![CDATA[LDHA]]></category>
		<category><![CDATA[metabolic dysfunction in fertility]]></category>
		<category><![CDATA[ovarian follicle energy metabolism]]></category>
		<category><![CDATA[ovarian syndrome biomarkers]]></category>
		<category><![CDATA[ovarian tissue architecture changes]]></category>
		<category><![CDATA[Polyendocrine Metabolic Ovarian Syndrome]]></category>
		<category><![CDATA[proteomic analysis of follicular fluid]]></category>
		<category><![CDATA[Proteomics]]></category>
		<category><![CDATA[reproductive disorder molecular signature]]></category>
		<category><![CDATA[S100A9]]></category>
		<category><![CDATA[SAA1]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=240522</guid>

					<description><![CDATA[Using 4D label-free proteomics, researchers identified 33 differentially expressed proteins in follicular fluid from patients with polyendocrine metabolic ovarian syndrome, revealing glycolytic reprogramming, immune dysregulation, and matrix remodeling that may yield new biomarkers and therapeutic targets.]]></description>
										<content:encoded><![CDATA[<p>Scientists in China have mapped the protein landscape of the fluid that bathes developing eggs in the ovary, and in doing so they have uncovered a molecular signature that may finally explain why some women with a poorly understood reproductive disorder struggle to conceive. The condition, known as polyendocrine metabolic ovarian syndrome, or PMOS, sits at the intersection of hormonal imbalance, metabolic dysfunction, and fertility problems, yet its underlying biology has remained stubbornly opaque. A new study published in the Journal of Ovarian Research has now used an advanced proteomic technique to peer directly into the follicular fluid of affected patients, revealing sweeping changes in energy metabolism, immune signaling, and tissue architecture that distinguish them from healthy women undergoing fertility treatment.</p>
<p>The research team, led by Qianqian Yin and Yaru Yang of Xuzhou Central Hospital affiliated with Southeast University, together with colleagues including corresponding authors Xiaoyan Liu and Jianhua Zheng, recruited twenty patients diagnosed with PMOS and ten control women. Follicular fluid, the nutrient-rich liquid surrounding the oocyte inside each ovarian follicle, was collected during procedures related to in vitro fertilization and embryo transfer. Because this fluid is in direct contact with the developing egg and the surrounding cumulus cells, it offers a uniquely intimate window into the microenvironment in which fertilization competence is established. Rather than studying blood, where systemic changes can be diluted and confounded, the researchers chose to interrogate the immediate biochemical neighborhood of the egg itself.</p>
<p>The technological centerpiece of the study was four-dimensional label-free quantitative proteomics, an approach that has rapidly become one of the most powerful tools in modern biology. Traditional proteomic methods separate peptides along a single dimension of mass spectrometric analysis, but four-dimensional platforms add ion mobility separation and retention time alignment, dramatically increasing the depth, resolution, and accuracy of protein identification. Label-free quantification, meanwhile, avoids the chemical labeling steps that can introduce bias and expense, instead relying on the raw intensity of detected peptide signals to estimate relative protein abundance across samples. This combination allowed the team to comprehensively profile the whole proteome of follicular fluid and to detect subtle but meaningful differences between patient groups that earlier methods might have missed.</p>
<p>When the data were analyzed with strict statistical thresholds requiring a fold change greater than 1.5 and a p-value below 0.05, thirty-three proteins emerged as differentially expressed between the PMOS and control groups. Twenty-four of these proteins were elevated in the patients, while nine were reduced. That modest number may sound unremarkable, but each of these molecules represents a potential thread in the tangled web of PMOS pathogenesis, and the patterns revealed by subsequent bioinformatic analysis were strikingly coherent rather than random.</p>
<p>Functional enrichment analysis using the Gene Ontology framework showed that the altered proteins clustered around several biological themes. The first was immunoglobulin production and the humoral immune response, indicating that antibody-mediated immune activity is heightened within the follicular environment of PMOS patients. The second was leukocyte migration, suggesting that immune cells are being actively recruited into the ovarian follicle. The third and perhaps most surprising theme was cellular energy metabolism, with proteins involved in glycolysis and pyruvate metabolism prominently represented. These findings imply that the follicle in PMOS is not merely a passive site of hormonal dysfunction but an active immunometabolic battlefield where energy production and immune defense are simultaneously rewired.</p>
<p>Pathway-level analysis using the Kyoto Encyclopedia of Genes and Genomes reinforced this picture. The differentially expressed proteins were predominantly enriched in glycolysis and gluconeogenesis, pyruvate metabolism, the hypoxia-inducible factor-1 signaling pathway, and extracellular matrix-receptor interactions. The involvement of HIF-1 signaling is particularly intriguing. This pathway is the cell&#8217;s master response to low oxygen, and its activation can drive cells to shift their energy production from efficient mitochondrial respiration toward rapid but wasteful glycolysis, a phenomenon famously exploited by cancer cells. Its enrichment in PMOS follicular fluid raises the possibility that the ovarian follicle in these patients exists in a state of relative hypoxia or metabolic stress, forcing the egg and its supporting cells to operate under conditions that may compromise developmental potential.</p>
<p>Protein-protein interaction network analysis added another layer of insight, suggesting a synergistic relationship between metabolic reprogramming and immune dysregulation in PMOS. In other words, the altered energy metabolism and the disturbed immune signaling do not appear to be independent phenomena but are likely intertwined, each feeding into and amplifying the other. This kind of systems-level view is exactly what proteomics is designed to deliver, and it points toward a conceptual model in which PMOS arises from a self-reinforcing loop of inflammatory and metabolic disturbance within the ovary, rather than from a single defective gene or hormone.</p>
<p>To ensure that the mass spectrometry findings were not artifacts, the team turned to enzyme-linked immunosorbent assay, a targeted and highly specific method for measuring individual proteins. Three candidates were selected for validation: L-lactate dehydrogenase A chain, known as LDHA, a key enzyme that drives the final step of glycolysis and converts pyruvate into lactate; protein S100-A9, or S100A9, an inflammatory mediator released by neutrophils and monocytes that acts as a danger signal to the immune system; and serum amyloid A1, or SAA1, an acute-phase protein classically associated with inflammation and tissue remodeling. All three were confirmed to be significantly higher in the follicular fluid of PMOS patients than in controls, lending robust analytical credibility to the discovery set and highlighting a concrete biochemical axis linking glycolytic flux, inflammation, and acute-phase response within the follicle.</p>
<p>The implications of this work are twofold. Clinically, the identified proteins could serve as diagnostic biomarkers, offering a way to identify or monitor PMOS through a simple assessment of follicular fluid, and potentially as therapeutic targets whose modulation might restore a healthier follicular environment. Scientifically, the study reframes PMOS as a disorder of immunometabolic reprogramming and extracellular matrix remodeling, providing a new perspective on pathogenesis that goes beyond the traditional focus on androgen excess and insulin resistance. The authors are careful to note the limitations of their work: the sample size was modest, with twenty patients and ten controls, and the findings now require validation in larger cohorts, ideally integrated with detailed clinical phenotypes and functional experiments that can test whether the candidate proteins play causal roles or are merely markers of the disease process.</p>
<p>Nevertheless, the study stands as a compelling example of how cutting-edge proteomic technology can illuminate diseases that have long resisted conventional investigation. By capturing a snapshot of the protein milieu surrounding the human egg, Yin, Yang, and their colleagues have transformed PMOS from a vaguely defined clinical syndrome into a condition with a measurable molecular fingerprint. If subsequent research confirms and extends these findings, the glycolytic enzymes, inflammatory proteins, and matrix components identified in follicular fluid could become the foundation for new diagnostic tests and, ultimately, new treatments aimed at protecting the delicate metabolic environment in which every human life begins.</p>
<p><strong>Subject of Research:</strong> Proteomic profiling of follicular fluid in polyendocrine metabolic ovarian syndrome</p>
<p><strong>Article Title:</strong> Identification of differentially expressed proteins in follicular fluid from patients with polyendocrine metabolic ovarian syndrome using 4D label-free proteomics</p>
<p><strong>Article References:</strong> Yin, Q., Yang, Y., Yan, X., Cao, Y., Liu, X., &amp; Zheng, J. (2026). Identification of differentially expressed proteins in follicular fluid from patients with polyendocrine metabolic ovarian syndrome using 4D label-free proteomics. <em>Journal of Ovarian Research</em>. <a href="https://doi.org/10.1186/s13048-026-02271-y" rel="noopener noreferrer">https://doi.org/10.1186/s13048-026-02271-y</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s13048-026-02271-y" rel="noopener noreferrer">10.1186/s13048-026-02271-y</a></p>
<p><strong>Keywords:</strong> polyendocrine metabolic ovarian syndrome, follicular fluid, proteomics, 4D label-free quantification, glycolysis, HIF-1 signaling, immune dysregulation, LDHA, S100A9, SAA1, biomarkers, fertility</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">240522</post-id>	</item>
		<item>
		<title>A Precise Dose of Oxidative Stress Keeps Beef Redder for Longer</title>
		<link>https://scienmag.com/a-precise-dose-of-oxidative-stress-keeps-beef-redder-for-longer/</link>
		
		<dc:creator><![CDATA[Bethany Barker]]></dc:creator>
		<pubDate>Fri, 02 Oct 2026 17:20:36 +0000</pubDate>
				<category><![CDATA[Chemistry]]></category>
		<category><![CDATA[antioxidant enzymes]]></category>
		<category><![CDATA[beef color preservation techniques]]></category>
		<category><![CDATA[beef color stability]]></category>
		<category><![CDATA[food chemistry research on meat]]></category>
		<category><![CDATA[GFM1]]></category>
		<category><![CDATA[glycolysis]]></category>
		<category><![CDATA[HIF-1 signaling]]></category>
		<category><![CDATA[hormesis]]></category>
		<category><![CDATA[hydrogen peroxide]]></category>
		<category><![CDATA[hydrogen peroxide effects on meat]]></category>
		<category><![CDATA[LDHB]]></category>
		<category><![CDATA[lipid peroxidation in meat]]></category>
		<category><![CDATA[meat color stability]]></category>
		<category><![CDATA[meat storage and quality improvement]]></category>
		<category><![CDATA[metmyoglobin]]></category>
		<category><![CDATA[metmyoglobin formation]]></category>
		<category><![CDATA[mitochondria]]></category>
		<category><![CDATA[mitochondrial role in meat color]]></category>
		<category><![CDATA[muscle tissue biochemistry]]></category>
		<category><![CDATA[myoglobin]]></category>
		<category><![CDATA[oxidative stress and meat shelf life]]></category>
		<category><![CDATA[oxidative stress in beef preservation]]></category>
		<category><![CDATA[oxymyoglobin oxidation]]></category>
		<category><![CDATA[Proteomics]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=228735</guid>

					<description><![CDATA[A new proteomic study shows that a moderate 500 micromole per liter hydrogen peroxide treatment triggers a hormetic response in postmortem beef, preserving mitochondrial electron transport and boosting NADH-generating glycolysis to keep the meat red for longer.]]></description>
										<content:encoded><![CDATA[<p>Shoppers judge a steak with their eyes long before they ever taste it, and that split-second verdict is written in the chemistry of a single pigment. When the bright red oxymyoglobin on a beef surface oxidizes into brown metmyoglobin, the meat looks tired and the discount stickers come out. A new study published in Food Chemistry: X by Cai-Yun Li, Xiao-Qian Duan, Xin Yu and Yu-Bin Zhang of Gansu Agricultural University now shows that a carefully calibrated jolt of oxidative stress can paradoxically keep beef looking freshly cut for far longer, and the team has traced the effect all the way down to the mitochondria and the ribosomes inside them.</p>
<p>The researchers injected longissimus dorsi steaks from thirty-two Simmental bulls with hydrogen peroxide at three concentrations: 300, 500 and 1000 micromoles per liter, alongside saline-injected controls. Over 48 hours of chilled storage, the 500 micromole per liter dose emerged as a clear winner. Steaks treated at this concentration retained more than double the oxymyoglobin of controls at 48 hours, 29.48 percent versus 13.87 percent, while accumulating significantly less metmyoglobin and showing the highest redness values of any group. The 300 micromole dose, by contrast, accelerated lipid peroxidation without improving color, and the 1000 micromole dose, although it kept pH highest, actually produced worse color than the moderate dose because oxidative damage overwhelmed the cellular repair machinery.</p>
<p>The key to understanding this apparent paradox lies in a phenomenon biologists call hormesis: the ability of a mild stressor to trigger protective adaptations that a weak stressor never provokes and a strong one destroys. In the 500 micromole group, the activities of the antioxidant enzymes glutathione peroxidase and superoxide dismutase rose significantly, and malondialdehyde, a marker of lipid rancidity, stayed lower than in controls. The team observed a trade-off: free thiol groups on proteins declined, suggesting that protein thiols were consumed as sacrificial antioxidants while the more color-critical lipids were shielded from peroxidation.</p>
<p>Even more striking was what happened to the mitochondria. Conventional wisdom holds that mitochondrial function collapses within about a day after slaughter, leaving glycolysis to supply nearly all of the muscle&#8217;s ATP. Yet in the moderately stressed steaks, the activities of electron transport chain complexes I through IV were preserved or even enhanced, with complex I peaking at 121.27 units per milligram of protein at 48 hours, well above every other treatment. Sustained electron transport activity helps maintain a reducing environment inside the cell, which delays the oxidation of oxymyoglobin and slows the postmortem pH decline that otherwise accelerates browning.</p>
<p>To find the molecular machinery behind this protection, the researchers ran quantitative proteomics using data-independent acquisition mass spectrometry on control and 500 micromole samples at 6, 24 and 48 hours. They identified 3243 protein groups in total, and 149 proteins were consistently different in abundance across all three time points. Pathway analysis pointed squarely at metabolism, mitochondrial structure and the HIF-1 signaling pathway, with three proteins, PDK1, HMOX1 and LDHB, enriched in the latter at high significance.</p>
<p>Protein interaction network analysis revealed two tightly coordinated hubs. The first centered on GFM1, a mitochondrial GTP-dependent elongation factor that drives the ribosomal translocation step during translation of mitochondrial genes. GFM1 clustered with four mitochondrial ribosomal proteins, MRPL3, MRPS5, MRPL15 and MRPS27, all strongly upregulated. Because the mitochondrial genome encodes core subunits of the electron transport chain, keeping the mitochondrial translation apparatus running appears to be the mechanism by which the moderate oxidative challenge preserved respiratory chain activity. GFM1 abundance correlated strongly with complex I activity, complex IV activity, redness and oxymyoglobin retention, and negatively with metmyoglobin, protein carbonyls and malondialdehyde.</p>
<p>The second hub centered on lactate dehydrogenase B, an HIF-1 target that preferentially converts lactate back into pyruvate while generating NADH, the reducing equivalent that endogenous enzymes use to reduce metmyoglobin back to its red form. The direction of this reaction is exquisitely pH-sensitive: it runs forward only in a less acidic environment. The 500 micromole treatment kept pH between 5.65 and 5.79, comfortably above the threshold where the reaction would reverse, thereby sustaining NADH production for pigment reduction. LDHB abundance correlated strongly with lactate dehydrogenase and pyruvate kinase activities, antioxidant enzyme activities and the color stability indicators.</p>
<p>The study also reframes how HIF-1 signaling behaves in postmortem muscle. Hypoxia-driven HIF-1 activation, well documented in previous work on yak and tan sheep meat, suppresses mitochondrial respiration, pushes metabolism toward anaerobic glycolysis, accelerates lactate buildup and worsens color. The hydrogen peroxide-driven activation observed here appears to follow a different route, plausibly through mild oxidation of the iron in prolyl hydroxylases, and couples glycolytic upregulation to mitochondrial preservation rather than mitochondrial shutdown. The authors are careful to note that they did not directly measure HIF-1α protein or its nuclear translocation, so this mechanism remains a well-supported inference rather than a demonstrated fact, and they recommend Western blotting and immunofluorescence in follow-up work.</p>
<p>The practical implications are tantalizing but deliberately hedged. Direct hydrogen peroxide injection is not a food-safe industrial intervention, and the authors stress that their proposed strategies, from dietary polyphenols, selenium and functional amino acids that support the GFM1 pathway, to lactate precursors that sustain NADH generation, to safe natural pro-oxidants or controlled-oxygen packaging that mimic the hormetic signal, are mechanistic hypotheses rather than validated processes. What the study delivers is something arguably more valuable: a mechanistic map showing that beef color stability is not a passive decay process but an actively coordinated program, with a mitochondrial translation module and a glycolytic redox module working in concert, and two proteins, GFM1 and LDHB, standing out as the switchboard operators. If future research can trip those switches with safe interventions, the humble steak might stay red, and stay on the full-price shelf, considerably longer.</p>
<p><strong>Subject of Research:</strong> Dose-dependent effects of hydrogen peroxide-induced oxidative stress on mitochondrial function, glycolytic metabolism and color stability in postmortem beef muscle</p>
<p><strong>Article Title:</strong> Elucidating the coordination of mitochondrial maintenance, functional preservation and glycolytic metabolism in H 2 O 2 -induced beef color stability: an integrated proteomic and biochemical investigation</p>
<p><strong>Article References:</strong> Li, C.-Y., Duan, X.-Q., Yu, X., &amp; Zhang, Y.-B. (2026). Elucidating the coordination of mitochondrial maintenance, functional preservation and glycolytic metabolism in H2O2-induced beef color stability: an integrated proteomic and biochemical investigation. <em>Food Chemistry: X, 39</em>, Article 104537. <a href="https://doi.org/10.1016/j.fochx.2026.104537" rel="noopener noreferrer">https://doi.org/10.1016/j.fochx.2026.104537</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1016/j.fochx.2026.104537" rel="noopener noreferrer">10.1016/j.fochx.2026.104537</a></p>
<p><strong>Keywords:</strong> beef color stability, hydrogen peroxide, hormesis, mitochondria, myoglobin, metmyoglobin, GFM1, LDHB, HIF-1 signaling, glycolysis, proteomics, antioxidant enzymes</p>
]]></content:encoded>
					
		
		
		<post-id xmlns="com-wordpress:feed-additions:1">228735</post-id>	</item>
	</channel>
</rss>
