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Decoding context-dependent sirtuin pharmacology in cancer: Metabolic-epigenetic switches and precision therapeutic targeting.

Sirtuins (SIRT1-SIRT7) are a family of NAD+-dependent lysine deacetylases that possess mono-ADP-ribosyltransferase activity and integrate cellular metabolic status with chromatin regulation, genome maintenance, redox homeostasis, immune responses, and adaptation to cancer therapies. Their translational value has been obscured by a recurring paradox: the same isoform may constrain malignant transformation in one setting yet support metastatic competence, stemness, immune evasion, or drug resistance in another. This review reframes that paradox as a measurable problem of context. We define a SIRT context code in which NAD+ availability and compartmentalization, subcellular localization, PTM state, chromatin occupancy, oncogenic genotype, cell lineage, and tumor microenvironment jointly determine sirtuin output. Using recent mechanistic and translational evidence, we summarize how sirtuins regulate metabolic switching, histone acetylation and lactylation, genome stability, cancer-associated fibroblast programs, regulatory T-cell enrichment, cancer stem-cell plasticity, angiogenesis, and resistance to DNA-damaging, targeted, and immune therapies. We further argue that successful sirtuin pharmacology will require context matching rather than indiscriminate activation or inhibition. Priorities include spatial and single-cell biomarker discovery, compartment-specific NAD+ measurements, PTM-resolved activity assays, structure-guided isoform-selective agents, and degrader strategies targeting non-catalytic scaffolding functions. Sirtuins should therefore be viewed as metabolic-epigenetic decision nodes rather than fixed oncogenes or tumor suppressors. However, the evidence remains predominantly preclinical, and our search identified no clinical-stage oncology trials of direct sirtuin modulators using prospective biomarker stratification, underscoring that this framework remains translationally aspirational rather than clinically validated.

Humans

Integrative proteomics and bioinformatics pipelines for PTM profiling.

Post-translational modifications (PTMs) regulate protein function across all life forms and allow plants to respond rapidly to biotic and abiotic stress. Over 450 PTM types have been described across organisms, of which 23-33 have been experimentally confirmed in plants, including phosphorylation, acetylation, methylation, glycosylation, ubiquitination, and sumoylation. These modifications are highly dynamic and often reversible, and frequently act in combination, or "crosstalk," to fine-tune cellular processes. Advances in high-resolution mass spectrometry and large-scale genome sequencing continue to expand the catalogue of known PTM sites, while machine learning and deep learning approaches increasingly support prediction of PTM site localization and function. Unlike broader surveys of plant PTMs, this review focuses specifically on O-phosphorylation and Lys-N(ε)-acetylation, the two best-characterized and most extensively crosstalking PTMs in plants, and integrates four perspectives: the historical development of proteomic and bioinformatics approaches to these modifications; current mass spectrometry-based workflows and enrichment strategies; the bioinformatics tools and databases available for their analysis; and the technical and species-related challenges, particularly in non-model plants, that currently limit their study. We close by outlining priority directions for future research, including multi-omics integration, AI-based prediction, and the translation of PTM knowledge into crop stress resilience and breeding applications.

Protein Processing, Post-Translational

A Parallel Accumulation-Mobility Aligned Fragmentation Strategy Utilizing High-Resolution Ion Mobility for High-Performance Proteomics Analysis.

Here we present a novel data-independent acquisition (DIA) mass spectrometry (MS) operating mode termed parallel accumulation-mobility aligned fragmentation (PAMAF) that offers enhanced speed and sensitivity of ion fragmentation analysis for discovery workflows such as bottom-up proteomics. This mode of operation leverages high-resolution ion mobility (HRIM) separation capabilities of the structures for lossless ion manipulation technology to achieve HRIM-based precursor isolation in place of traditional quadrupole filtering approaches. PAMAF mode increases the number of features that can be identified per MS1/MS2 acquisition cycle by employing mobility-based time alignment to associate fragment ions with their corresponding precursor ions. By using a high-speed, lossless separation technique for precursor isolation instead of the comparatively slow and wasteful quadrupole filtering, ion losses are avoided while simultaneously increasing the rate at which precursor ions are sequentially fragmented and detected. In addition, by accumulating ions while the previous packet of ions is being analyzed, the PAMAF mode achieves ∼100% ion utilization efficiency. Benchmarking results of LC-PAMAF-MS analysis of a whole cell protein digest showed ∼6× more protein group identifications compared to a standard data-dependent acquisition analysis without HRIM on the same QTOF instrument, and >100 x improvement for low-load workflows. Quantitative evaluations demonstrated that PAMAF mode could quantify low abundance peptides, including those undetectable by data-dependent acquisition. In addition, since precursor isolation in PAMAF mode is size-based rather than m/z-based, coeluting isobars and isomers can be resolved prior to fragmentation, eliminating chimeric spectra that compromise identification accuracy. We also explored the benefits of combining HRIM and quadrupole isolation to achieve improved specificity termed DIA-PAMAF mode, which enabled the detection of over 8000 protein groups from a HeLa digest analysis. PAMAF mode brings a powerful new technique to the field of proteomics with the potential to improve the sensitivity and selectivity of mass spectrometry-based proteomics.

Proteomics

Establishing a Top-Down Proteomics Platform on a Time-of-Flight Instrument with Electron-Activated Dissociation.

Top-down proteomics is the study of intact proteins and their post-translational modifications with mass spectrometry. Historically, this field is more challenging than its bottom-up counterpart because the species are much bigger and have a larger number of possible combinations of sequences and modifications; thus, there is a great need for technological development. With improvements in instrumentation and a multiplicity of fragmentation modes available, top-down proteomics is quickly gaining in popularity with renewed attention on increasing confidence in identification and quantification. Here, we systematically evaluated the Sciex ZenoTOF 7600 system for top-down proteomics, applying standards in the field to validate the platform and further experimenting with its capabilities in electron-activated dissociation and post-translational modification site localization. The instrument demonstrated robustness in standard proteins for platform QC, as aided by zeno trapping. We were also able to apply this to histone post-translational modifications, achieving high sequence coverage that allowed PTM's site localization across protein sequences with optimized EAD fragmentation. We demonstrated the ability to analyze proteins spanning the mass range and included analysis of glycosylated proteins. This is a reference point for future top-down proteomics experiments to be conducted on the ZenoTOF 7600 system.

Proteomics

Serum hyaluronan concentration determined by radiometric assay in patients with pretibial myxedema and Graves' ophthalmopathy.

The serum concentration of hyaluronan (HA) was measured by radiometric assay in patients with pretibial myxedema (PTM) and Graves' ophthalmopathy (GO). The mean HA concentration in the patients (n = 8) was 21.2 +/- 15.3 (mean +/- SD) microgram/l, while that of Graves' disease without skin or eye involvement (n = 7) was 23.5 +/- 11.0 (mean +/- SD) microgram/l and that of the control (n = 8) was 25.5 +/- 16.4 (mean +/- SD) microgram/l. We conclude that local accumulation of glycosaminoglycan in PTM or GO is not associated with an increase in the serum HA concentration.

Adult

The compliance curve for the flow limiting segments of the airway. I. Model studies.

By means of a pilot-static tube airway compliance curves describing the cross-sectional area (A) as a function of transmural pressure (Ptm) were constructed for several locations in the elastic airway of a mechanical model of the lung. From these curves local relations between elastic recoil pressure of the lung (Pel) and maximal expiratory flow (Vmax) were calculated and compared with the experimentally determined Pel-Vmax curve for the entire airway, i.e. all parts in series. Theory and experiments showed that the latter was the lower borderline of all the local Pel-Vmax curves. This means that the maximal flow through the entire airway at a given Pel is determined by the segment of the airway, having the smallest Vmax, just as the maximal strength of a chain is determined by its weakest link. The relation between the critical transmural pressure (Ptm-) and the corresponding cross-sectional area (A-) was derived from the experimental Pel-Vmax curve. This Ptm--A- curve had a composed appearance, which was found to reflect parts of the different local Ptm-A curves and transitions between them because of movement of the flow limiting site within the airway. The Ptm--A- curve depends on the elastic properties of the flow limiting segment, and the slope of this curve (dA-/dPtm-) is the compliance of the flow limiting segment. Significant frictional pressure losses upstream from the site of flow limitation caused underestimation of both A- and dA-/dPtm-, but downstream pressure losses had no influence on the Ptm--A- curve.

Airway Resistance

The critical transmural pressure of the abirway.

The critical transmural pressure (Ptm) is defined as the transmural pressure of the airway at the site where and when flow is limited during a forced expiration. According to the presented theory, the maximal expiratory flow (Vmax) can be calculated from the relation between Ptm and the corresponding cross-sectional area of the airway (A). By means of a pitot-static tube, Ptm-A curves were constructed for several locations in the elastic airway of a mechanical model. From these curves local Vmax was calculated at different values of Ptm and compared with actual flow, i.e. measured Vmax for the entire airway. In the downstream part of the airway, the actual flow equalled calculated Vmax at most Ptm values. The site of flow limitation, being the most upstream point where actual flow equals calculated local Vmax could therefore be located. Theory and experiments showed positive as well as negative Ptm not influenced by change in upstream or downstream resistance. Flow limitation could therefore be initiated at distending as well as compressing pressures across the wall of the airway. V was regarded as a function of Ptm and the elastic recoil pressure of the lung (Pel). Measured and calculated iso-Pel, Ptm-V curves agreed well with one major exception: when Ptm less than Ptm measured curves were distorted due to a concomitant downstrean compression of the collapsible airway.

Airway Resistance

Crosstalk between cysteine and lysine modifications: Integrating redox and metabolic regulation.

Protein post-translational modifications (PTMs) on amino acid residues enable dynamic cellular responses to changes in metabolic and redox state. Cysteine and lysine are among the most extensively modified amino acid residues, with both undergoing a diversity of acylation and oxidative modifications. Indeed, proximal (<10&#x202f;&#xc5;) cysteine and lysine residues may form integration nodes for crosstalk between metabolism and redox homeostasis pathways. This review highlights the interaction of proximal Cys-Lys residues, including influence on residue pKa by local electrostatics, cysteine-to-lysine transfer of PTM moieties, and covalent crosslinking. We discuss candidate Cys-Lys regulatory pairs in proteins involved in redox regulation, proteostasis, metabolic adaptation and inflammation. We further utilize computational modeling to identify proximity between cysteine and lysine residues in proteins known to be regulated by acylation and oxidative PTMs, and to demonstrate changes in these distances and local electrostatic potential due to lysine acetylation. Finally, we review how mass spectrometry-based proteomics and machine-learning PTM predictive tools can enable the identification, validation, and interpretation of proximal Cys-Lys interactions that regulate cellular responses to oxidative challenge and metabolic flux.

Cysteine

Comprehensive evaluation of AlphaFold/OpenFold prediction of experimentally unresolved proteins through novel metrics.

Predicting accurate protein structures is essential for understanding molecular mechanisms, interpreting the impact of sequence variation, and supporting translational applications ranging from drug discovery to clinical genomics. Recent advances in deep-learning-based predictors such as AlphaFold2, OpenFold, and AlphaFold3 have transformed structural biology, enabling routine in silico modeling even for challenging or previously uncharacterized proteins. However, systematic benchmarking of these tools-especially for novel targets and single amino acid variants-remains limited. Conventional global metrics often fail to capture biologically meaningful discrepancies. By evaluating multiple implementations of AlphaFold2 and OpenFold, together with ColabFold and the AlphaFold3 server, across 10 different proteins and 222 single amino acid protein variants encompassing a wide range of sizes, structures, and functions, we show that although widely used global indicators-like mean pLDDT, pTM-score, and RMSD-frequently suggest comparable performance, substantial local-level differences remain elusive. To address this gap, we introduce a comparative framework leveraging Bland-Altman agreement analysis, to evaluate per-residue C&#x3b1;-confidence differences and Per-Residue profiles (PRPs), complemented by Uniform Manifold Approximation and Projection (UMAP). This approach reveals marked localized divergences, particularly within flexible or intrinsically disordered regions, where both predictor choice and single-residue substitutions trigger the largest conformational shifts. We further demonstrate that using reduced homology databases has minimal impact on predicted structural quality, offering computationally efficient alternatives. Collectively, our findings underscore the importance of integrating global and residue-specific evaluations to more accurately assess robustness, agreement, and practical usability across contemporary protein structure prediction methods.

Proteins

Detection, cellular localization, and modulation of heat shock proteins in cultured fibroblasts from patients with extrathyroidal manifestations of Graves' disease.

We hypothesize that fibroblasts obtained from the retroocular space and the pretibial skin, sites affected by the peripheral manifestations of Graves' disease, share unique characteristics that may in part explain the site specificity of Graves' ophthalmopathy (GO) and pretibial myxedema (PTM). Heat shock proteins (HSPs), synthesized by cells undergoing stress, function to maintain cellular homeostasis and are probably involved in the intracellular processing and cell surface presentation of antigens. We investigated possible differences in the expression of 70-kDa HSPs between cultured fibroblasts obtained from patients with severe GO and normal individuals. In addition, we compared HSP expression in fibroblasts derived from tissues involved in the extrathyroidal manifestation of Graves' disease (GO and PTM) with that in fibroblasts from uninvolved tissues. HSPs were detected by both immunoblotting and indirect immunofluorescence, using monoclonal antibodies that are directed against HSP72, HSP72/73 (termed HSP70), and HSP90. HSP expression at baseline and after treatment with various cytokines and heat stress was examined. At baseline, HSP72 reactivity was exclusively detected in retroocular and pretibial fibroblasts from patients with severe GO and PTM, but was not observed in abdominal fibroblasts from these patients and was not detectable in fibroblasts from any anatomical site of normal individuals. The abundance of HSP70 expression at baseline and after treatment with certain cytokines was significantly greater in retroocular and pretibial fibroblasts from patients with GO than in normal individuals. In addition, characteristic changes in the cellular localization of HSPs before and after exposure to heat stress and cytokines were observed; cell surface expression of HSP70 was detected at baseline in fibroblasts from patients, but not in normal fibroblasts. These data provide the first evidence that HSPs are differentially expressed by fibroblasts derived from tissues affected by the extrathyroidal manifestations of GD. These proteins may have a role in localized immune processes, leading to the development of GO and PTM.

Biopsy

A Translocation within the Ogataea Species Complex Alters Local Subtelomeric Chromatin while Maintaining Overall Genome Organization.

Eukaryotic genomic DNA is packaged in the nucleus as chromatin - a DNA-protein aggregate regulating genome function, including transcription. Chromatin is classified as either active euchromatin or silent heterochromatin, with each marked by distinct histone post-translational modifications (PTMs). Chromatin composition also mediates genome organization, including how heterochromatin aggregates at the nuclear periphery while euchromatin localizes to the nucleus center. In fungi, heterochromatic loci cluster, including independent centromere and telomere clusters that form the Rabl chromosome conformation. However, it is unknown if chromatin composition and genome organization are conserved in closely related fungi, and how they are impacted by large-scale chromosomal rearrangements. Here, we examined differences in histone PTM deposition, gene expression, and genome organization in two yeast species from the order Pichiales, which diverged from the common ancestor shared with Saccharomyces cerevisiae more than 200 million years ago. We focused on Ogataea polymorpha, which is used for industrial protein production, and Ogataea haglerorum, an isolate of which harbors a translocation between chromosomes 1 and 6. We show that the enrichment of three activating PTMs - the trimethylation of lysine 4 of histone H3 (H3K4me3) and the acetylation of lysine 9 of histone H3 (H3K9ac) or lysine 16 of histone H4 (H4K16ac) - are similar genome-wide yet individual gene orthologs have distinct chromatin and expression patterns. While both Ogataea genomes organize into a Rabl conformation, the O. haglerorum translocation alters subtelomeric chromatin composition and expression of genes affected by the translocation. Our work highlights the genome function differences that occur on a microevolutionary scale.

Ogataea

A translocation within the Ogataea species complex alters local subtelomeric chromatin while maintaining overall genome organization.

Eukaryotic genomic DNA is packaged in the nucleus as chromatin-a DNA-protein aggregate regulating genome function, including transcription. Chromatin is classified as either active euchromatin or silent heterochromatin, with each marked by distinct histone post-translational modifications (PTMs). Chromatin composition also mediates genome organization, including how heterochromatin aggregates at the nuclear periphery while euchromatin localizes to the nucleus center. In fungi, heterochromatic loci cluster, including independent centromere and telomere clusters that form the Rabl chromosome conformation. However, it is unknown if chromatin composition and genome organization are conserved in closely related fungi, and how these features are impacted by large-scale chromosomal rearrangements. Here, we examined differences in histone PTM deposition, gene expression, and genome organization in 2 yeast species from the order Pichiales, which diverged from the common ancestor shared with Saccharomyces cerevisiae more than 200 million years ago. We focused on Ogataea polymorpha, which is used for industrial protein production, and Ogataea haglerorum, an isolate of which harbors a translocation between chromosomes 1 and 6. We show that the enrichment of 3 activating PTMs-the trimethylation of lysine 4 of histone H3 (H3K4me3) and the acetylation of lysine 9 of histone H3 (H3K9ac) or lysine 16 of histone H4 (H4K16ac)-are similar genome-wide, yet gene orthologs have distinct chromatin and expression patterns. While both Ogataea genomes organize into a Rabl conformation, the O. haglerorum translocation alters subtelomeric chromatin composition and expression of genes affected by the translocation. Our work highlights the genome function differences that occur on a microevolutionary scale.

Genome, Fungal

Post-Translational Modifications in Traumatic Brain Injury: Decoding the Proteomic Landscape and Molecular Mechanisms of Secondary Injury.

Traumatic brain injury (TBI) initiates a complex secondary injury cascade that significantly contributes to long-term neurological deficits, with post-translational modifications (PTMs) emerging as pivotal molecular regulators of this process. Unlike primary mechanical damage, secondary injury evolves over hours to years and involves intricate proteomic alterations that changes in gene expression alone cannot fully explain. PTMs-including phosphorylation, ubiquitination, acetylation, SUMOylation, glycosylation, and emerging modifications such as succinylation, lactylation, and nitrosylation-serve as dynamic molecular switches that fine-tune protein function, stability, localization, and interactions in response to TBI-induced stressors. These modifications play dual roles: they can either promote neuroprotection and recovery or drive pathological processes such as neuronal cell death (via apoptosis, necroptosis, and ferroptosis), neuroinflammation through glial activation and inflammasome signaling, blood-brain barrier disruption, mitochondrial dysfunction, and impaired synaptic plasticity. Critically, extensive crosstalk exists among different PTM pathways-such as the interplay between phosphorylation and ubiquitination in protein degradation or the competitive balance between acetylation and SUMOylation-that collectively shape cellular fate after injury. This nuanced regulatory network presents both challenges and opportunities for therapeutic intervention. Targeting PTM-related enzymes, including kinases, phosphatases, E3 ligases, and histone deacetylases, has shown promise in preclinical models, while novel strategies like Proteolysis-Targeting Chimeras (PROTACs) and repurposed drugs (e.g., metformin, resveratrol) offer innovative avenues for modulating the PTM landscape. Advances in high-throughput proteomics and mass spectrometry are enabling the mapping of TBI-specific PTM signatures across spatiotemporal phases, facilitating the identification of pro-survival versus pro-death modification thresholds. Despite hurdles in clinical translation-such as blood-brain barrier penetration and off-target effects-the growing understanding of PTM dynamics underscores their potential as both biomarkers and therapeutic targets. Future TBI management may thus rely on precision medicine approaches that integrate multi-PTM profiling to guide combination therapies aimed at tipping the balance toward neural repair and functional recovery.

Brain Injuries, Traumatic

Comprehensive profiling of lysine lactylation in Candida albicans and exploratory analysis of fluconazole tolerance associations.

UNLABELLED: Candida albicans is the primary pathogen of invasive candidiasis in most regions worldwide, but the therapy options for C. albicans infections are limited, and drug tolerance further exacerbates the treatment challenges. Lysine lactylation (Kla), a recently identified post-translational modification (PTM), is observed in numerous organisms; however, the role of Kla in C. albicans remains unknown. Hence, we report the first proteomic analysis of this specific modification in C. albicans and discuss its potential roles in drug tolerance of C. albicans. Altogether, 7,233 lactylation sites on 1,608 lactylated proteins were identified in C. albicans, with the highest degree of lactylation among the species studied so far. The further bioinformatics analysis revealed that the lactylated proteins were implicated in a variety of cellular functions with diverse subcellular localizations. Additionally, we found a unique survival mode of tolerant cells in the presence of fluconazole, which will be subject to a more thorough investigation in our future studies. This paper is the first report on the lactylome of Candida spp. and provides a reliable foundation for further research on Kla in C. albicans and other human pathogens. IMPORTANCE: This is the first report on the lactylome of Candida spp., and it provides some valuable insights for further research on lactylation in C. albicans and other human pathogens. Moreover, the observations in tolerant cells have prompted plausible hypotheses regarding the potential role of lactylation in mediating C. albicans tolerance to fluconazole, thereby offering a conceptual framework for subsequent investigations. Notably, fungal tolerance to azoles, a concept distinct from resistance, represents a critical phenomenon in C. albicans with profound clinical implications, as it directly correlates with therapeutic failure and persistent infections.

Candida albicans

Genome-Wide Profiling of Histone Modifications in Fission Yeast Using CUT&Tag.

Eukaryotic DNA is organized in the nucleus in the form of chromatin. Nucleosomes, the fundamental unit of chromatin, are subject to many posttranslational modifications (PTMs) as well as compositional variations through incorporation of histone variants. These alterations play important roles in regulation of genome structure and activity. Genome-wide profiling of these regulatory features is essential for understanding of genome function. Chromatin immunoprecipitation coupled with next-generation sequencing (ChIP-Seq) is a widely used method to assay genome-wide localization in fission yeast but suffers from the requirement for a large amount of input chromatin, antibodies, and a cumbersome experimental pipeline. New methods such as Cleavage Under Targets and Tagmentation (CUT&Tag), which combine the specificity of targeted cleavage and adapter insertion with the sensitivity of next-generation sequencing, enable identification and characterization of various epigenetic marks affording low input requirement as well as more streamlined protocols. However, these approaches have not been adapted for use in fission yeast, Schizosaccharomyces pombe. Here, we describe an adapted CUT&Tag protocol for epigenomic profiling in fission yeast using the heterochromatin-associated histone H3K9 methylation PTM for benchmarking.

Schizosaccharomyces