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	<title>VDAC1 &#8211; Science</title>
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	<title>VDAC1 &#8211; Science</title>
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		<title>Starvation enzyme SIRT2 strips a mitochondrial gatekeeper to trigger cell death</title>
		<link>https://scienmag.com/starvation-enzyme-sirt2-strips-a-mitochondrial-gatekeeper-to-trigger-cell-death/</link>
		
		<dc:creator><![CDATA[Ophelia Keating]]></dc:creator>
		<pubDate>Thu, 08 Oct 2026 16:46:25 +0000</pubDate>
				<category><![CDATA[Medicine]]></category>
		<category><![CDATA[ANT3]]></category>
		<category><![CDATA[ANT3 protein modification]]></category>
		<category><![CDATA[Cell Death Discovery]]></category>
		<category><![CDATA[cell death mechanisms]]></category>
		<category><![CDATA[deacetylation]]></category>
		<category><![CDATA[deubiquitination]]></category>
		<category><![CDATA[impact of acetylation on mitochondrial proteins]]></category>
		<category><![CDATA[lysine 96]]></category>
		<category><![CDATA[mitochondria]]></category>
		<category><![CDATA[mitochondrial gatekeeper function]]></category>
		<category><![CDATA[mitochondrial permeability transition pore]]></category>
		<category><![CDATA[mitochondrial permeability transition pore regulation]]></category>
		<category><![CDATA[molecular pathways of starvation-induced cell death]]></category>
		<category><![CDATA[nutrient deprivation]]></category>
		<category><![CDATA[nutrient sensing and cell survival]]></category>
		<category><![CDATA[programmed cell death]]></category>
		<category><![CDATA[regulation of mitochondrial permeability transition]]></category>
		<category><![CDATA[role of deacetylases in apoptosis]]></category>
		<category><![CDATA[SIRT2]]></category>
		<category><![CDATA[SIRT2 and mitochondrial dynamics]]></category>
		<category><![CDATA[SIRT2 mitochondrial localization]]></category>
		<category><![CDATA[starvation]]></category>
		<category><![CDATA[USP15]]></category>
		<category><![CDATA[VDAC1]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=248641</guid>

					<description><![CDATA[Researchers at Army Medical University show that during prolonged starvation the deacetylase SIRT2 moves into mitochondria, removes an acetyl group from ANT3 at lysine 96, and thereby stabilizes the protein and promotes formation of the cell-death-associated ANT3-VDAC1 complex.]]></description>
										<content:encoded><![CDATA[<p>When cells are starved of nutrients for long enough, they do not simply fade away quietly. Behind the scenes, a precisely choreographed molecular program pushes them toward death, and researchers have now identified a critical switch in that program. A team at Army Medical University in Chongqing, China, reports in Cell Death Discovery that the enzyme SIRT2, best known as a nutrient-sensing deacetylase, can relocate to mitochondria during prolonged starvation and chemically modify a key component of the mitochondrial permeability transition pore, setting off a cascade that ultimately dismantles the cell. The finding adds an unexpected layer of control to one of the most debated structures in cell biology and suggests that a single acetyl group on a single amino acid can help decide whether a cell survives metabolic crisis or succumbs to it.</p>
<p>The protein at the center of the study is adenine nucleotide translocase 3, or ANT3, a transporter embedded in the inner mitochondrial membrane that normally shuttles ATP out of the mitochondrial matrix in exchange for ADP from the cytosol. Beyond its day job as an exchange factor, ANT3 has long been implicated as a core constituent of the mitochondrial permeability transition pore, or mPTP, a high-conductance channel whose opening dissipates the proton gradient that powers ATP synthesis, swells the mitochondria, and can launch cell death. Disruption of ANT3 protein homeostasis, or conformational changes in the protein itself, are sufficient to trigger this catastrophic opening. What has remained murky is how the cell regulates ANT3&#8217;s abundance and shape in the first place, and that is precisely the question the Chongqing group set out to answer.</p>
<p>The researchers&#8217; starting point was prolonged starvation, a physiological stress that cells in metabolically demanding tissues experience during nutrient deprivation. They found that extended starvation drives SIRT2, a NAD+-dependent deacetylase that typically resides in the cytoplasm and nucleus, to translocate into the mitochondria. This relocation matters because it places SIRT2 in the same compartment as ANT3, allowing the two proteins to bind directly. Once docked onto ANT3, SIRT2 performs its signature reaction: it removes an acetyl group from lysine 96, a specific residue on the ANT3 protein. Acetylation at lysine residues is a widespread post-translational modification that can alter a protein&#8217;s charge, structure, interactions, and stability, and the new work shows that the acetyl state of this one lysine carries enormous consequences for ANT3 behavior.</p>
<p>The consequences unfold along two parallel tracks. First, deacetylation of ANT3 at K96 promotes conformational changes in the protein, shifting it into a state that favors the formation of a complex with VDAC1, the voltage-dependent anion channel that sits in the outer mitochondrial membrane. The ANT3-VDAC1 pairing spans the contact sites between the inner and outer membranes and is considered a plausible architecture for the permeability transition pore, so enhancing this complex effectively assembles more of the death apparatus at the mitochondrial boundary. Second, and perhaps more surprisingly, deacetylated ANT3 binds more strongly to USP15, a deubiquitinating enzyme that removes ubiquitin tags from its substrates. Strengthened binding to USP15 enhances ANT3 deubiquitination, which stabilizes the ANT3 protein and raises its steady-state levels inside the mitochondria.</p>
<p>The logic of this dual mechanism is elegant and somewhat ruthless. By simultaneously reshaping ANT3 and protecting it from degradation, SIRT2 ensures that more of the transporter is present and more of it is locked into the pore-forming conformation with VDAC1. The result is an accelerated assembly of the permeability transition pore complex and, ultimately, an accelerated onset of cell death. In other words, starvation does not merely weaken the cell passively; it actively recruits a deacetylase to the mitochondria, which then stabilizes and reconfigures the very channel that will destroy the organelle. The study&#8217;s authors describe this as a rarely reported molecular mechanism in which SIRT2-mediated acetylation-dependent regulation governs programmed cell death.</p>
<p>Technically, the work illustrates how a single deacetylation event can be amplified into a systems-level outcome through feed-forward loops. The K96 deacetylation does not act alone; it recruits USP15, whose deubiquitinating activity further increases ANT3 abundance, which in turn increases the pool of ANT3 available to pair with VDAC1. This kind of positive feedback is characteristic of switch-like biological decisions, where a graded stress signal, in this case the duration of starvation, must be converted into a binary outcome: live or die. SIRT2&#8217;s dependence on NAD+ also ties the pathway directly to cellular metabolism, since NAD+ availability fluctuates with nutrient status and redox state. A starving cell, with its altered NAD+/NADH balance, thus provides both the signal and the enzymatic cofactor for the death-promoting modification.</p>
<p>The findings carry weight for a field that has struggled for decades with the molecular identity of the permeability transition pore. Genetic ablation of individual candidate components, including the ANT isoforms, has produced confusing and sometimes contradictory results, and the pore&#8217;s exact composition remains contested. By focusing on post-translational regulation rather than mere presence or absence of the protein, the new study offers a way to reconcile some of that ambiguity: ANT3 may be innocuous in one acetylation state and lethal in another. Conformational state, protein stability, and partner binding, all governed here by K96 acetylation, could explain why simply deleting a pore component does not always abolish permeability transition, since compensatory mechanisms and residual complexes may fill the gap.</p>
<p>There are also broader implications for human disease. Excessive mPTP opening is a hallmark of ischemia-reperfusion injury, where restored blood flow after a heart attack or stroke paradoxically kills cells that survived the initial insult, and it contributes to neurodegeneration, muscle wasting, and liver injury. Conversely, blocking pore opening can allow damaged cells to evade death, a trait exploited by some cancers. A pathway in which SIRT2, USP15, ANT3, and VDAC1 cooperate provides multiple potential intervention points. Small molecules that modulate SIRT2 activity are already under investigation in oncology and neurology, and deubiquitinase inhibitors are an active area of drug development. The Chongqing study does not test therapeutic compounds, but it maps the wiring that such compounds would need to respect.</p>
<p>The research, led by corresponding authors Liangbo Sun, Jiqin Lian, Mingzhen Yang, and Haojun Xiong, with Dong Liu, Meng He, and Jiahong Liu contributing equally as first authors, was supported by the National Natural Science Foundation of China and the Chongqing Natural Science Foundation. Animal experiments were conducted under the guidelines of the Army Medical University Laboratory Animal Center with ethics committee approval, and the authors declare no competing interests. The article was published open access on 29 September 2026, with raw western blotting data and supplementary materials made available alongside the paper, a transparency practice that allows independent researchers to scrutinize the key biochemical evidence.</p>
<p>What makes the study resonate beyond its immediate findings is the picture it paints of cellular death as an actively regulated, enzymatically driven process rather than a passive collapse. A starving cell does not merely run out of fuel; it deploys SIRT2 to the mitochondria, strips an acetyl group from ANT3 at lysine 96, stabilizes the protein through USP15-mediated deubiquitination, and assembles the ANT3-VDAC1 complex that breaches the mitochondrial barrier. Each step is reversible in principle, which means each step is a potential checkpoint at which the cell, or a clinician, could intervene. As researchers continue to dissect the permeability transition pore and the acetylation networks that tune it, the K96 switch on ANT3 stands out as a vivid example of how the smallest chemical changes can command the largest cellular decisions.</p>
<p><strong>Subject of Research:</strong> SIRT2-mediated deacetylation of the mitochondrial protein ANT3 and its role in regulating programmed cell death during starvation</p>
<p><strong>Article Title:</strong> SIRT2-mediated deacetylation of ANT3 at Lys96 promotes cell death</p>
<p><strong>Article References:</strong> Liu, D., He, M., Liu, J., Shan, M., Ma, X., lu, L., Bi, X., Xiong, H., Yang, M., Lian, J., &amp; Sun, L. (2026). SIRT2-mediated deacetylation of ANT3 at Lys96 promotes cell death. <em>Cell Death Discovery</em>. <a href="https://doi.org/10.1038/s41420-026-03330-5" rel="noopener noreferrer">https://doi.org/10.1038/s41420-026-03330-5</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1038/s41420-026-03330-5" rel="noopener noreferrer">10.1038/s41420-026-03330-5</a></p>
<p><strong>Keywords:</strong> SIRT2, ANT3, VDAC1, USP15, mitochondrial permeability transition pore, deacetylation, lysine 96, starvation, programmed cell death, deubiquitination, mitochondria, cell death discovery</p>
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		<post-id xmlns="com-wordpress:feed-additions:1">248641</post-id>	</item>
		<item>
		<title>Blood Test Clues: Six DNA Methylation Markers Flag the Most Common Kidney Cancer</title>
		<link>https://scienmag.com/blood-test-clues-six-dna-methylation-markers-flag-the-most-common-kidney-cancer/</link>
		
		<dc:creator><![CDATA[Nathaniel Bowman]]></dc:creator>
		<pubDate>Sun, 04 Oct 2026 06:05:39 +0000</pubDate>
				<category><![CDATA[Biology]]></category>
		<category><![CDATA[advances in kidney cancer diagnostics]]></category>
		<category><![CDATA[Biomarkers]]></category>
		<category><![CDATA[blood methylation patterns distinguishing healthy individuals from ccRCC patients]]></category>
		<category><![CDATA[blood-based epigenetic testing for kidney cancer]]></category>
		<category><![CDATA[clear cell renal cell carcinoma]]></category>
		<category><![CDATA[DNA Methylation]]></category>
		<category><![CDATA[DNA methylation markers for renal cell carcinoma]]></category>
		<category><![CDATA[early detection]]></category>
		<category><![CDATA[early detection of ccRCC]]></category>
		<category><![CDATA[epigenetic biomarkers for early kidney cancer]]></category>
		<category><![CDATA[epigenome sequencing for cancer detection]]></category>
		<category><![CDATA[epigenome-wide association study]]></category>
		<category><![CDATA[kidney cancer]]></category>
		<category><![CDATA[kidney cancer blood biomarkers]]></category>
		<category><![CDATA[methylation signatures in blood for cancer diagnosis]]></category>
		<category><![CDATA[minimally invasive cancer detection methods]]></category>
		<category><![CDATA[MTND4P12]]></category>
		<category><![CDATA[non-invasive kidney cancer screening]]></category>
		<category><![CDATA[PCBD2]]></category>
		<category><![CDATA[sequencing-based methylation analysis for renal tumors]]></category>
		<category><![CDATA[targeted bisulfite sequencing]]></category>
		<category><![CDATA[TCF7]]></category>
		<category><![CDATA[VDAC1]]></category>
		<category><![CDATA[whole blood]]></category>
		<guid isPermaLink="false">https://scienmag.com/?p=233746</guid>

					<description><![CDATA[Japanese researchers have identified six hypomethylated CpG sites in blood DNA that distinguish clear cell renal cell carcinoma patients from healthy controls with high accuracy, offering a potential minimally invasive screening biomarker.]]></description>
										<content:encoded><![CDATA[<p>A routine blood draw may one day help catch one of the world&#8217;s most common kidney cancers before it spreads, according to a study published in Epigenetics Communications. Researchers in Japan report that they have identified six DNA methylation markers in whole blood that reliably distinguish patients with clear cell renal cell carcinoma (ccRCC) from healthy individuals. Because more than 70 percent of renal cell carcinomas are classified as clear cell tumors, and because early-stage disease carries a five-year survival rate of roughly 93 percent compared with just 12 percent once the cancer has metastasized, the prospect of a minimally invasive screening tool has immediate clinical appeal. The study, led by Hideki Ohmomo and Atsushi Shimizu of the Iwate Tohoku Medical Megabank Organization, together with collaborators at the National Cancer Center in Tokyo and Keio University, is among the first to search for kidney cancer signals across the blood epigenome using sequencing rather than the microarray platforms that dominate the field.</p>
<p>The biological signal the team hunted for is DNA methylation, a chemical modification in which methyl groups are attached to cytosine bases, most often at cytosine-guanine dinucleotides known as CpG sites. Methylation patterns act as a layer of gene regulation, silencing or activating genomic regions without altering the underlying DNA sequence. Because tumors shed DNA and because immune and other blood cells undergo measurable epigenetic shifts in response to cancer, methylation signatures detectable in blood have attracted growing interest as biomarkers for a range of malignancies. Yet while several methylation biomarkers associated with renal cell carcinoma have been found in tumor tissue, blood-derived methylation markers for the disease have remained scarce, leaving clinicians dependent on computed tomography scans and ultrasonography for early detection.</p>
<p>The Japanese team&#8217;s methodological choice proved decisive. Most epigenome-wide association studies, or EWAS, rely on microarrays such as the Illumina Infinium MethylationEPIC chip, which can interrogate only about 3 to 3.5 percent of the CpG sites in the human genome. That limitation means potentially valuable biomarkers may simply be invisible to conventional screens. Ohmomo and colleagues instead used targeted bisulfite sequencing, or TB-seq, a technique in which DNA fragments are treated with bisulfite to convert unmethylated cytosines into uracils, then captured and sequenced at millions of CpG positions. This approach proved essential for one region in particular: the segment of chromosome 5 that ultimately yielded the study&#8217;s key markers is densely homologous to other parts of the genome, making it impossible to amplify with standard PCR primers. Custom hybridization probes allowed the researchers to capture and sequence the region accurately where conventional methods would have failed.</p>
<p>The study was structured in two phases. In the discovery phase, the team analyzed whole blood DNA from 50 ccRCC patients treated at the National Cancer Center Hospital and 50 age- and sex-matched healthy controls drawn from the Tohoku Medical Megabank Community-Based Cohort. They performed an EWAS using a linear regression model adjusted for age, sex, and the estimated cellular composition of each blood sample, a critical correction because different leukocyte populations carry distinct methylation profiles. The model showed minimal statistical inflation, with a lambda value of 1.030, indicating that the results were not driven by confounding from cell-type mixtures. In the replication phase, the same analysis was repeated in an entirely independent set of 48 ccRCC patients and 48 controls to test whether the initial findings would hold.</p>
<p>The discovery screen identified eleven CpG sites with p-values below the suggestive threshold of 1.00 × 10⁻⁶, and six of those crossed the stringent Bonferroni-corrected significance threshold of 1.59 × 10⁻⁸. All six mapped to a single region on chromosome 5 spanning the PCBD2 gene and the adjacent pseudogene MTND4P12, within a stretch of DNA between positions 134,923,256 and 134,928,594. Notably, the six sites were all hypomethylated in the cancer patients, showing roughly 10 percent lower methylation levels than in the healthy controls. The surrounding genomic landscape is densely populated with DNase I hypersensitive sites, transcription factor binding sites, and binding sites for CCCTC-binding factor (CTCF), an architectural protein that organizes chromatin into loops. That structural context suggests the methylation changes could influence chromatin conformation and, in turn, gene regulation across the neighborhood.</p>
<p>The replication phase delivered strong confirmation. Four of the six CpGs again crossed the genome-wide significance threshold, set at 3.42 × 10⁻⁸ for the smaller number of sites tested, and all six showed the same directional pattern of approximately 10 percent hypomethylation in patients. The association survived additional statistical corrections for metabolic differences between groups, including hemoglobin A1c, cholesterol measures, diabetes, dyslipidemia, and chronic kidney disease, in both phases. A Jonckheere–Terpstra trend test revealed that methylation levels differed significantly between controls and patients at every cancer stage, although the levels did not track progressively with advancing stage, suggesting the marker reflects the presence of the disease rather than its extent.</p>
<p>To translate the finding into a practical test, the researchers evaluated how well the six CpGs could discriminate patients from controls using receiver operating characteristic analysis. Individually, each site performed well, but the sum of methylation levels across all six sites proved the strongest classifier. In the discovery cohort, the combined score achieved an area under the ROC curve of 0.922, with a 95 percent confidence interval of 0.871 to 0.973. In the independent replication cohort, the score remained robust at 0.871, with a confidence interval of 0.800 to 0.941. An AUC near 0.9 approaches the performance of clinically useful screening tests, and the fact that the signal persisted in a separate group of patients and controls lends credibility that many single-cohort biomarker discoveries lack. Only a small fraction of previously reported cancer methylation biomarkers, the authors note, have ever been validated, a problem they attribute in part to the false-positive burden of microarray-based discovery.</p>
<p>The team then probed what the methylation changes might actually do. Using the iMETHYL database, which integrates methylation, gene expression, and genetic variation data from blood, they performed cis-expression quantitative trait methylation analysis, examining 56 annotated genes within one million base pairs of the PCBD2/MTND4P12 region. Two emerged as significantly linked: TCF7, located 0.8 million base pairs upstream, and VDAC1, located 0.9 million base pairs upstream. Hypermethylation at one CpG was associated with increased TCF7 expression, while hypermethylation at another correlated with decreased VDAC1 expression, meaning the hypomethylation seen in ccRCC patients would correspond to reduced TCF7 and elevated VDAC1 activity. Both genes have plausible ties to cancer biology. VDAC1 encodes a voltage-dependent anion channel on the outer mitochondrial membrane that governs the transport of adenine nucleotides, calcium ions, and metabolites, and its overexpression has been documented in multiple cancer cell lines and linked to mitochondrial abnormalities in ccRCC. TCF7 encodes the transcription factor TCF1, a regulator of T cell and innate lymphoid cell development whose overexpression has been reported in ccRCC tumor tissue.</p>
<p>The authors are careful to frame the work as a promising beginning rather than a finished diagnostic. The study population was exclusively Japanese, so whether the six CpGs behave identically in other ethnic groups remains unknown. The analysis covered only clear cell renal cell carcinoma, leaving open the question of whether the markers are specific to ccRCC or shared across cancer types. And because the methylation changes were measured in blood cells rather than tumor tissue, the findings do not by themselves explain the etiology of the disease; the researchers did not directly measure TCF7 or VDAC1 expression in the patients&#8217; blood cells, an experiment they flag as necessary. Why hypomethylation of PCBD2/MTND4P12 arises in the blood of ccRCC patients is a question for future work.</p>
<p>Even with those caveats, the study makes a methodological statement that resonates beyond kidney cancer. By demonstrating that sequencing-based methylation profiling can uncover disease-associated regions invisible to commercial microarrays, and by validating those regions in an independent cohort with strong discriminatory power, the Japanese team has shown a path toward blood-based epigenetic screening that could extend to other cancers and diseases. The six CpGs in PCBD2/MTND4P12 now stand as candidate biomarkers awaiting larger, multi-ethnic, prospective trials. If they survive that scrutiny, a simple blood test could join imaging as a first line of defense against a cancer that today is too often found by accident, or too late.</p>
<p><strong>Subject of Research:</strong> Whole blood DNA methylation biomarkers for detecting clear cell renal cell carcinoma</p>
<p><strong>Article Title:</strong> Potential DNA methylation biomarkers for the detection of clear cell renal cell carcinoma identified by a whole blood-based epigenome-wide association study</p>
<p><strong>Article References:</strong> Ohmomo, H., Komaki, S., Sutoh, Y., Hachiya, T., Ono, K., Arai, E., Fujimoto, H., Yoshida, T., Kanai, Y., Asahi, K., Sasaki, M., &amp; Shimizu, A. (2022). Potential DNA methylation biomarkers for the detection of clear cell renal cell carcinoma identified by a whole blood-based epigenome-wide association study. <em>Epigenetics Communications, 2</em>(1), Article 2. <a href="https://doi.org/10.1186/s43682-022-00009-7" rel="noopener noreferrer">https://doi.org/10.1186/s43682-022-00009-7</a></p>
<p><strong>Image Credits:</strong> AI Generated</p>
<p><strong>DOI:</strong> <a href="https://doi.org/10.1186/s43682-022-00009-7" rel="noopener noreferrer">10.1186/s43682-022-00009-7</a></p>
<p><strong>Keywords:</strong> clear cell renal cell carcinoma, DNA methylation, epigenome-wide association study, biomarkers, targeted bisulfite sequencing, whole blood, PCBD2, MTND4P12, kidney cancer, early detection, TCF7, VDAC1</p>
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