Biomolecules

The intracellular transport system is pivotal for cellular function and integrity, facilitated by cytoskeletal motor proteins such as dynein, which traverse along microtubules (MTs). The heterogeneity of the tubulin isotypes composing MTs introduces functional diversity, potentially affecting cytoskeletal motor proteins interactions with the MT. This in silico study investigated the influence of amino acid sequence variations in the C-terminal tails (CTTs) of six different Homo sapiens tubulin isotypes, TUBB2A, TUBB2B, TUBB2C, TUBB3, TUBB4A, and TUBB5, highly expressed in human brain tumors, and assessed the isotypes effect on the binding of motor protein dynein to MT. Among these isotypes, TUBB2A, TUBB2B, and TUBB2C were found to affect conformational motions of the dyneins microtubule-binding domain (MTBD) and stalk domain. The investigation highlighted the novel role of isotype-specific variations in lateral interactions between tubulin protofilaments (PFs) in determining the proximity of the {beta}-CTT of the adjacent PF to the MTBD, potentially affecting dyneins motility and suggesting how changes in isotype expression directly influence dyneins velocity and processivity and contribute to transport defects associated with neurological disorders and cancers. Isolating specific tubulin isotypes experimentally is challenging due to their high sequence similarity and complex interactions with other microtubule-associated proteins. This makes it challenging to distinguish between different tubulin isotypes and their effects, particularly in tissues where multiple isotypes are co-expressed. Additionally, these isotypes are heavily modified in vivo by post-translational modifications, which further complicate the isolation of a single, unmodified tubulin isotype. As a result, computational approaches have been necessary in this study for exploring these effects in a controlled, isotype-specific manner.

The three conventional isoforms of the Ras G-protein (H-, K-, N-Ras) function as molecular on-off switches that regulate a wide array of signaling pathways, including the Ras-PI3K-PIP3-PDK1-AKT pathway that is central to innate immunity and normal cell growth, and is dysregulated in many disease states. Activation of the pathway by Ras requires adequate Ras-PI3K binding affinity. Here we focus on the interface of known structure in the H-Ras:PI3K{gamma} co-complex essential to multiple pathways including directed pseudopod growth in leukocyte chemotaxis. At this interface 10 H-Ras residues, all 100% conserved between the H-, K- and N-Ras isomers, contact the Ras binding domain of PI3K{gamma} (PI3K{gamma}RBD). To investigate the degree to which the native H-Ras:PI3K{gamma}RBD interface is optimized by evolution for maximal binding affinity, 8 interfacial Ras mutations selected from the COSMIC database and the literature were introduced at the contact positions. All 8 Ras mutations were observed to alter the H-Ras:PI3K{gamma}RBD binding affinity, with 4 mutations yielding significant affinity increases and 4 yielding significant affinity decreases. These findings indicate that the native H-Ras:PI3K{gamma}RBD interface provides intermediate, rather than maximal, binding affinity. Such intermediate affinity is consistent with the substantial binding plasticity of the conserved H-, N-, K-Ras effector docking surface, which has evolved to bind a diverse array of effectors. Furthermore, the findings provide evidence that COSMIC-linked mutations at the H-Ras:PI3K{gamma}RBD interface frequently generate affinity increases as well as decreases, with potential implications for molecular mechanisms of disease and for tool development in cell biology.

The MYC associated factor X (MAX) is the heterodimeric partner of the MYC paralogs (MYC, MYCN and MYCL). When deregulated, high level of the MYC paralogs contribute to all aspects of tumorigenesis and tumor growth. MAX can also heterodimerize with the MXD proteins, MNT and MGA. Heterodimerization and sequence specific DNA binding to the E-Box sequences at gene promoters is controlled by their heterodimerization with the MAX b-HLH-LZ. As a heterodimer with MAX, MYC proteins activate genes involved in cell metabolism, growth and proliferation whereas MXD proteins, MNT and MGA repress them. MAX can also bind to the E-Bos sequence as a homodimer. Being devoid of a transactivation domain it can act as an antagonist of the MYC/MAX heterodimers. Variants of MAX have been reported to be linked to cancer. These variants are either not expressed, inactivated or lead to missense mutations. This has led to the notion that MAX may have a tumor suppressor role. Here, we characterize three of those variants with missense mutations in the basic region, i.e. E32K, R35P and R35C. We analyzed their heterodimerization with the b-HLH-LZ of MYC and their DNA binding properties as homo-and heterodimers. The R35C variant b-HLH-LZ was found to have a markedly increased affinity for the b-HLH-LZ of MYC. We also observed that all three b-HLH-LZ variants have a lower affinity as homodimers for the E-Box than the WT. This was shown to lead to a preferential binding of all the heterodimeric b-LHLH-LZ to the E-Box. This effect is exacerbated in the case of the R35C variant. We argue that this preferential binding of MYC as heterodimers with these variants to E-Box sequences could contribute to tumorigenesis. Hence, our results suggest that, mechanistically, the MAX homodimer bound to the E-Box could act as a tumor suppressor. MATERIALS AND METHODSO_ST_ABSMolecular modelingC_ST_ABSThe open source version 1.7.6.0 of Pymol was used for modeling and molecular rendering [1]. The crystal structure of the MAX homodimer bound to the E-Box (1HLO [2]) was used as a template for the generation of the models. The variants were generated using the mutagenesis function in the wizard. The conformation of the K32 side chain was manually set in order to avoid introducing steric clashes with DNA. Protein expression and purificationThe cDNA, coding for the MAX b-HLH-LZ (Max* hereafter, residues 22-103, UniProt entry P61244-1) to which are added the GSGC residues in c-terminal, inserted in the pET3a vector was already available in the laboratory [3] and was used as a template to generate the plasmids with inserts coding for each of the mutants (E32K, R35C and R35P) through quick-change PCR with Q5 DNA polymerase and DpnI from New England Biolabs. The primers used were purchased from IDT DNA, their sequences are listed in Table S1. Sequence for each construct was confirmed by Sanger sequencing at the Plateforme de sequencage SANGER - Centre de recherche du CHU de Quebec - Universite Laval. The primary structure for the basic region of each construct is given in Fig. 2A. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=137 SRC="FIGDIR/small/715400v1_fig2.gif" ALT="Figure 2"> View larger version (41K): org.highwire.dtl.DTLVardef@1b05d5eorg.highwire.dtl.DTLVardef@1c1d692org.highwire.dtl.DTLVardef@ee469dorg.highwire.dtl.DTLVardef@15e0ba4_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOFigure 2.C_FLOATNO Structure schematics, specific and non-specific interactions dictating specificity and stability of binding of the basic region of MAX to the canonical (CACGTG) E-Box. A. Primary structure for the basic region of MAX and each of the variants. Positions making the most important contacts with the E-box are indicated by black arrows. Positions for the variants studied here are colored according to the Zappo colour scheme, following their physico-chemical properties: red for negative, blue for positive, magenta for proline and yellow for cysteine. B. The side chain (carboxylate) of E32 receives H-Bonds from the CA nucleobases in the leading strand (white carbon atoms). R35 and R36 make a salt bridges with phosphate groups while and the guanidino moiety of R36 makes a specific H-Bond with the nucleobase of the G in the strand of the reverse complement (cyan carbon atoms). C. The R35C mutation removes one non-specific salt-bridge at the interface of the complex. D. The aliphatic portion of the K side chain in the E32K variant is unable to accept the H-Bonds from the CA nucleobases and leads to the stabilisation of the complex and the helical structure of the basic region. E. In addition to removing a salt-bride, the Pro residue in the R35P kinks the path of the basic region, prevents the establishment of the specific H-Bonds mandatory for recognition of the E-Box and leads to unfolding of the helical state. C_FIG The MYC b-HLH-LZ (Myc*), the Max*WT b-HLH-LZ and its variants were expressed and purified as previously described [3,4] After lyophilisation, the b-HLH-LZs were kept at -20{degrees}C and solubilised in Myc buffer (50 mM NaCl, 50 mM NaH2PO4 pH 5.5) for Myc* or PBS for Max* at a final concentration of 1 mM before use. Circular dichroismAll circular dichroism (CD) measurements were performed on a Jasco J-810 spectropolarimeter equipped with a Peltier-type thermostat. The instrument was routinely calibrated using an aqueous solution of d-10-(+)-camphorsulfonic acid at 290.5 nm. Samples were prepared as follows: Max* (either WT or a variant) was diluted in 100 {micro}l 2X CD buffer (40 mM KCl, 11.4 mM K2HPO4, 28.6 mM KH2PO4, pH 6.8) and the volume adjusted to 106 {micro}l with PBS. 10 {micro}l TCEP 16 mM were added, and the volume further adjusted to 192 {micro}l with ddH2O before samples were incubated overnight at room temperature. After reduction, Myc* was added and the volume adjusted to 198 {micro}l with Myc buffer (Na2HPO4 0.95 mM, NaH2PO4 49.05 mM, 50 mM NaCl, pH 5.5). The DNA complexes were prepared as follows. After a 10 minutes incubation of the protein samples at room temperature, 0, 1 or 2 {micro}l of 2 mM of specific or non-specific DNA duplexes in 10 mM Tris pH 8.0 were added and the volume adjusted to 200 {micro}l with 10 mM Tris pH 8.0. The strands of the specific probe were: 5-ATT ACC CAC GTG TCC T*AC-3 and 5-GTA GGA CAC GTG GGT* AAT-3 (with the E-box sequence underlined) and the non-specific probe: 5-ATT ACC TCC GGA TCC T*AC-3 and 5-GTA GGA TCC GGA GGT* AAT-3 (Integrated DNA Technologies). Samples were further incubated for 10 minutes at room temperature and transferred to a 1 mm path length quartz cuvette. All spectra were recorded from 250 to 195 nm at 0.1 nm intervals by accumulating 10 spectra at 25 {degrees}C. Thermal denaturations were recorded at 222 nm from 5 to 95 {degrees}C at a heating rate of 1 {degrees}C/min. CD signal for spectra and thermal denaturations was corrected by substracting the signal from corresponding spectra or thermal denaturation either for buffer alone or the appropriate DNA duplex. CD signal was then converted to mean residue ellipticity using the following formula [5]: [{theta}] = {delta} {middle dot} MRW/(10{middle dot}c l) where [{theta}] is the mean residue ellipticity in deg {middle dot} cm2 dmol-1, {delta} is the CD signal in millidegrees, MRW is the mean residue weight, c is the concentration in mg/ml and l is the pathlength in mm. For the heterodimers, the concentration used was the sum of Max* and Myc* and the MRW was determined using a weighted average.

Aim and ObjectivesThe study aimed to evaluate the effectiveness of titanium inserts for interdental papilla reconstruction, comparing it with the Han and Takei technique using subepithelial connective tissue grafts. The objectives included assessing the black triangle height, papilla height and papilla presence index (PPI) at baseline, 1 month and 3 months postoperatively along with the evaluation of Early Wound Healing Score (EHS) during the first week of post operative healing period. Patients and MethodsThis single-blind randomized clinical trial included systemically healthy individuals aged 18-35 years with Nordland and Tarnows Class I-III papillary loss. A total of 18 participants were randomly assigned to either test group or control group. Clinical parameters were measured pre- and post-operatively at specified intervals. Both groups received standard presurgical care and postoperative follow-up. The surgical protocol for the test group involved titanium insert placement in the interdental bone, while the control group received a connective tissue graft using the Han and Takei method. ResultsBoth groups showed significant intragroup improvements in all parameters from baseline to 1 and 3 months (p<0.05). However, intergroup comparisons showed no significant differences at most time points, except at 3 months for PPI, where the control group showed significantly better results (p=0.04). EHS scores were not significant between the groups. ConclusionTitanium inserts and CTG both demonstrated clinical effectiveness in enhancing interdental papilla dimensions. These findings support the titanium insert as a viable, less invasive alternative, offering clinicians a practical option for esthetic papilla reconstruction.

BackgroundCommercial dental artificial intelligence in 2026 is over-whelmingly diagnostic: caries, calculus, periapical, and bone-level detection on radiographs. The clinically harder question that follows every diagno-sis -- given a patients chart and most recent procedure, what should the dentist do next -- remains unsolved at general-dentistry scale. The closest published system, MultiTP (Chen et al., 2024), is a CNN-RNN restricted to partial-edentulism cases and provides neither calibrated uncertainty, structured rationale, nor an evaluation that treats the model as decision support rather than as an autonomous classifier. MethodsWe introduce DentaCoPilot, a recommender that, given a structured chart, returns (i) a calibrated top-K probability distribution over Current Dental Terminology (CDT) codes for the next procedure, (ii) a verbalised confidence label, (iii) an explicit abstain flag when context is insufficient, and (iv) a chartgrounded rationale. We compare four classical baselines (frequency bigram, TF-IDF + logistic regression, XGBoost, MultiTP-style CNN-RNN) and six large-language-model (LLM) variants (Claude Haiku, Sonnet + chain-of-thought, Sonnet + retrieval, Opus + chain-of-thought, Sonnet + classical prior, Opus + classical prior) on a synthetic chart corpus of 500 patients (1,284 test examples). All LLM inference is routed through the local Anthropic Claude Code CLI; every call is logged for full audit. ResultsOn apples-to-apples evaluation, classical baselines reach 0.567 top-1 / 0.967 top-5; pure LLM variants trail at 0.267-0.467 top-1. Prompt-conditioning a Sonnet LLM on the classical baselines top-10 candidates (M5) closes the gap: top-5 rises from 0.733 (pure Sonnet + chain-of-thought) to 0.933, matching classical baselines, while preserving rationale and abstention. Increasing the LLM backbone from Sonnet to Opus does not improve accuracy with or without priming. Calibration via temperature scaling and coverage-risk analysis is reported for the baselines. ConclusionPrompt-conditioning a small LLM on a classical baselines top-K is the most cost-effective LLM design we tested for next-procedure recommendation, and the design preserves the augmentation features that distinguish the system from an autonomous classifier. A pre-registered clinician-in-the-loop evaluation at the KLE Vish-wanath Katti Institute of Dental Sciences (Belgaum, India) and a real-data evaluation on the multi-institutional BigMouth dental data repository are the next stage of work.

BackgroundConventional clinical indicators of periodontitis progression detect disease after irreversible tissue destruction has occurred. Molecular biomarkers in gingival crevicular fluid (GCF) offer potential for earlier detection, but existing analytical approaches rely on cross-sectional snapshots that fail to capture the temporal dynamics of disease evolution. AimTo develop and validate a temporal deep learning framework leveraging longitudinal GCF protein profiles for (1) regression-based prediction of clinical attachment level (CAL) and probing depth (PD) changes, (2) current-visit classification of periodontitis progression, (3) next-visit prediction of progression with a 2-month clinical lead time, and (4) identification of the most informative biomarkers through systematic multi-method feature importance analysis. Materials and MethodsThis study utilized longitudinal GCF data from a prospective cohort of 413 participants (501 periodontal sites, 3,792 time-series observations) with 64 protein biomarkers measured at 2-month intervals over 12 months. A compact encoder-gated recurrent unit (GRU)-decoder architecture was developed through systematic experimentation across four phases, benchmarking temporal deep learning against cross-sectional machine learning baselines. Task-specific decoders addressed continuous regression (CAL and PD prediction) and binary classification (progression detection). Model development and reporting followed the TRIPOD+AI guidelines. ResultsThe temporal GRU achieved 47.7% CAL mean absolute error (MAE) reduction (1.139 to 0.596 mm) and 41.0% PD MAE reduction (0.902 to 0.532 mm) over linear regression baselines through the systematic model development progression. For binary classification, the model achieved AUC-ROC of 0.886 for current-visit classification and 0.867 for next-visit prediction with a 2-month lead time. Per-visit analysis revealed progressive improvement in both regression and classification accuracy as longitudinal data accumulated. Cross-method feature importance analysis identified Periostin, VEGF, MMP-2, IL-1RA, and MCP-4 as core predictive biomarkers, with divergent profiles between diagnostic and prognostic tasks suggesting distinct molecular signatures for concurrent versus incipient progression. ConclusionsTemporal deep learning applied to longitudinal GCF protein profiles enables both accurate regression prediction of clinical parameters and reliable classification of progression status, including 2-month-ahead forecasting suitable for clinical intervention planning. The compact architecture and non-invasive sampling approach make this framework suitable for integration into point-of-care periodontal monitoring workflows. Clinical RelevanceConventional clinical indicators of periodontitis progression, including probing depth changes, attachment loss, and radiographic bone loss, inherently detect disease after irreversible damage has occurred. This study shows that a compact deep learning model analyzing temporal GCF protein profiles can first accurately predict continuous changes in pocket depth and attachment loss, then classify progression status 2 months in advance, enabling proactive intervention before clinical manifestation of tissue destruction.

Microtubules are cytoskeletal structures composed of polymers of /{beta}-tubulin heterodimers. They play a central role in cell division and motility by a stochastic process of alternating polymerization and depolymerization episodes (dynamic instability) that can be modulated by phosphorylation. Protein kinase C and cyclin-dependent kinase 1 are known to phosphorylate Ser165 of -tubulin (:Ser165) and Ser172 of {beta}-tubulin, ({beta}:Ser172), respectively. Using all-atom molecular dynamics simulations of 6-mer {beta}-tubulin systems modeled on the cryo-EM structure of a microtubule (PDB 3J6E), the impact of phosphorylation at each site is explored in terms of secondary structures (:helix H8/loop T7 segment and {beta}:loops T3/T5) that lie at the inter-dimer cleft near the E-site {beta}:GTP. If properly aligned, :Glu254 (helix H8) hydrolyzes {beta}:GTP to GDP thereby triggering the transition from a polymerizing to a depolymerizing microtubule. -Tubulin phosphorylated at :Ser165 displaces helix H8 (:Glu254/:Gln256) and loop T5 towards the {gamma}-phosphate of {beta}:GTP. This movement coincides with a shift of the {beta}:GTP nucleotide by 4.5-5.5 [A], stabilization of the {gamma}P of {beta}:GTP by additional H-bonding and weakened inter-dimer interactions. In a phosphorylated {beta}:Ser172 system, loop T5 is displaced toward {beta}:GTP and coincides with stabilization of inter-dimer interactions. Therefore, phosphorylation of either - or {beta}-tubulin generates a distinct profile of intramolecular rearrangements that remodel the inter-dimer cleft and modulate dynamic instability. These profiles may provide a useful reference for screening mutations identified in tumor genomes.

The HIV-1 Vpu protein aids viral adaptation by influencing host cell pathways via protein interactions. While Vpu is mainly found in plasma and endomembranes, we recently discovered a soluble form that forms a stable, equimolar complex with Ca2+-bound calmodulin (Ca2+-CaM), potentially affecting Vpus cellular trafficking. Here, to determine the binding affinity and identify regions of soluble Vpu involved in CaM binding, we used ensemble Forster Resonance Energy Transfer (eFRET). We tested Cy3-labeled full-length (FL) Vpu, a C-terminal fragment (helices 2 and 3), and a Cy3-labeled FL Vpu V22A/W23Y mutant with substitutions in Vpus helix 1. All Vpus variants were labeled at residue L42C, and Ca2+-CaM was tagged with Cy5 at residue S39C. eFRET analysis of 100 nM Cy3-Vpu variants mixed with Cy5-Ca2+-CaM (in the range 100-600 nM) revealed dissociation constants (Kd) and binding energies ({Delta}G) for heterocomplexes. FL Vpu-Ca2+-CaM showed high stability (Kd [~]40 nM,{Delta} G [~]10.1 kcal/mol), while the truncated C-terminal region and V22A/W23Y mutant formed less stable complexes with Ca2+-CaM (Kd[~]200 nM and 800 nM,{Delta} G [~]9 kcal/mol and [~]8.3 kcal/mol). This, a binding hot spot in Vpus CaM-binding motif in helix 1 was identified, which may control the stability of Vpu-Ca2+-CaM complex and Vpus insertion in the membrane: We hypothesize that upon delivery to the membrane, the hydrophobic helix 1 of Vpu dissociates from Ca2+-CaM and inserts in the lipid bilayer; thereafter, CaM dissociates from Vpu facilitated by the reduced Vpu-Ca2+-CaM complex stability. The findings from this study advance our understanding of HIV-1 Vpu interactions with cellular components and may aid the development of antivirals.

This study investigates the therapeutic potential of secretomes derived from Adipose-derived Mesenchymal Stem Cells (ADMSC-CM) and Limbal-derived Mesenchymal Stem Cells (LMSC-CM) against oxidative stress-induced damage in Retinal Pigment Epithelium (RPE-1) cells. RPE dysfunction, often triggered by oxidative stress, is a hallmark of various retinal degenerations. Here, we induced RPE-1 injury using H2O2 and evaluated the restorative effects of both MSC-conditioned media (CM). Our results demonstrated that both ADMSC-CM and LMSC-CM significantly enhanced cell viability and successfully reversed H2O2-induced G2/M phase cell cycle arrest. While oxidative stress triggered a pro-inflammatory response characterized by elevated IL-1{beta}, IL-6, and IL-10 expression, MSC-CM treatment, particularly ADMSC-CM, effectively modulated these levels and suppressed the p38 MAPK signaling pathway. Furthermore, MSC-CM reduced the Bax/Bcl-2 ratio, indicating an anti-apoptotic effect, and appeared to stabilize autophagic flux. To investigate the impact of oxidative-stress induced alterations in retinal pigment epithelial cells on angiogenesis, the effects of RPE-derived secreted factors on endothelial cell function were evaluated. Crucially, in terms of safety and secondary complications, neither secretome exhibited pro-angiogenic tendencies; instead, they significantly inhibited HUVEC migration and invasion compared to the H2O2 damaged group. These findings suggest that both ADMSC and LMSC secretomes provide a potent multi-targeted therapeutic effect, making them promising candidates for cell-free therapies in retinal diseases.

BackgroundMetazoan adenosine-to-inosine (A-to-I) mRNA editing temporospatially diversifies the neuronal transcriptome and proteome. The limited read length from next-generation sequencing (NGS) constrains the quantification of the potentially differential editing levels across different splicing isoforms, restricting our understanding of the extent to which RNA editing contributes to molecular diversity and its interplay with splicing. MethodsWe employed reverse transcription nested PCR (RT-nPCR) and developed a novel interfering-Primer PCR (iPrimer PCR) technique to distinguish different transcripts of any gene. We selected multiple essential genes exhibiting RNA editing in coding sequences (CDSs) or untranslated regions (UTRs) for isoform-specific amplification and Sanger sequencing. ResultsNine different Adar isoforms together with pre-mRNA had distinct editing levels at the S>G auto-recoding site, which was predicted to have isoform-specific effects on catalytic activities. Although pre-mRNA editing might exert isoform-dependent promotion/suppression of splicing, closely located editing sites, such as those in neuronal genes qvr and stj, still exhibited high correlation in editing levels due to co-editing. iPrimer strategy further discovered differential recoding levels between the long/short 3UTR isoforms of gene jef. ConclusionsWe provide the first comprehensive solution for isoform-specific PCR amplification of any gene, enabling quantification of RNA editing level of different isoforms. Our results offer insights into how RNA editing interplays with splicing, and highlight its complicated role in expanding molecular diversity. Graphical abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=79 SRC="FIGDIR/small/725286v1_ufig1.gif" ALT="Figure 1"> View larger version (17K): org.highwire.dtl.DTLVardef@1ebc82org.highwire.dtl.DTLVardef@1ea365dorg.highwire.dtl.DTLVardef@1971aceorg.highwire.dtl.DTLVardef@160d053_HPS_FORMAT_FIGEXP M_FIG C_FIG We developed isoform-specific PCR followed by Sanger sequencing, and achieved the quantification of differential RNA editing levels in different transcripts of a gene.

Cryopreservation is essential for long-term storage of biological tissues. Yet, surprisingly, the precise molecular impact of cryopreservation on tissue transcriptomes remains poorly defined. This study provides the first resource of whole-genome transcriptomic changes following cryopreservation. This study used bulk RNA sequencing to examine how preservation method (snap freezing or vitrification) affects transcriptomes in mouse cerebral cortex and hippocampus. This allowed us to separate cryoprotectant-specific changes from cold induced-changes via snap freezing. In a subset of genes, tissues processed under vitrification conditions showed selective under-representation of a small but structurally coherent group of transcripts, with the hippocampus exhibiting greater vulnerability than the cortex. UniProt annotation revealed that affected transcripts were strongly enriched for proteins with membrane-associated, secretory-pathway, and multi-pass topologies, indicating that structurally complex membrane-integrated architectures are disproportionately sensitive to vitrification. Pathway-level analysis using iPANDA further showed that negative preservation scores in vitrified tissue clustered primarily within signal transduction and metabolic pathways, suggesting coordinated pathway-level disruption rather than global transcript loss. Together, these results demonstrate that vitrification conditions induce selective and structured molecular perturbations in neural tissue, defined by the under-recovery of transcripts associated with membrane and secretory pathway organization. This work highlights molecular vulnerability during vitrification and emphasizes the need for transcript-level evaluation when optimizing cryopreservation approaches for neural systems.

Nucleobindin 1 (NUCB1) is a multifunctional conserved protein located in Golgi luminal, nucleus, extracellular and cytosolic pools. NUCB1 is multidomain protein comprised of a signal peptide, a DNA-binding domain, a leucine zipper and Ca2+ -binding domain. The multiple domains and localization of NUCB1 potentiates its interactions with various partners, such as DNA, Gi3 protein, cyclooxygenase 2, LRP10 and RNA suggests its importance in the regulation of many cellular events. We revealed that NUCB1 contains three RNA-binding regions and able to interact with two RNA fragments. It was suggested possible variants of the participation of NUCB1 in the interaction of the two partially complementary RNAs. The RNA-binding properties of the NUCB1 were also confirmed in vivo experiments.

BackgroundThe gut-kidney axis plays a direct role in gastrointestinal and kidney health. Gut-derived metabolites like uremic toxins are associated with the pathophysiology of feline chronic kidney disease (CKD). The aim of the study was to identify novel fecal biomarkers and investigate the roles of gastrointestinal metabolites in feline CKD. ResultsFecal samples from 41 healthy non-CKD (control) and 67 CKD cats, including 5 IRIS stage 1 (CKD1), 37 stage 2a (CKD2a), 18 stage 2b (CKD2b), and 7 stage 3 (CKD3), were subject to fecal untargeted metabolomics and targeted short-chain fatty acid (SCFA) analyses. Multiple linear regression, adjusted for sex, age, body weight and study site, identified 64 differential metabolites between control and across CKD groups (P<0.0001 and FDR<0.10). Approximately 65% of the metabolites were lipids, including polyunsaturated long-chain fatty acids, acylcarnitines, and ceramides. Random Forest algorithm selected N1-methyl-2-pyridone-5-carboxamide (2PY), a uremic toxin from nicotinamide catabolism, as the top fecal marker for classifying feline CKD. Fecal 2PY was increased in CKD1 (P = 0.03), CKD2a, CKD2b, and CKD3 (all P<0.0001) compared to the controls. Data mining revealed serum concentration of 2PY was significantly increased with severity of CKD in cats, possibly due to impaired renal excretion. Cholesterol and arachidonic acid, markers for enterocyte shedding and inflammation, were increased in CKD3 versus control (both P<0.05). In healthy non-CKD cats, evident suggested fecal lipids increased with age (P<0.0001), and were higher in females versus males (P<0.0001). While fecal indole and p-cresol were increased in CKD3 versus control (both P<0.05), no change was observed in indoxyl sulfate (IS) or p-cresol sulfate (PCS). Fecal indole-3-acetic acid (IAA) was decreased in several CKD groups compared to the controls (all P<0.05). Finally, two branched SCFAs, isobutyrate and isovalerate, were increased in CKD3 versus control (both P<0.05). ConclusionsThe study revealed 2PY as a novel marker and unveiled profound alterations in intestinal lipid compositions with a potential link to gut barrier integrity and inflammation in CKD.

Anthracyclines, including doxorubicin, are widely used chemotherapeutic agents, but dose-dependent cardiotoxicity limits their clinical utility and increases the risk of heart failure in cancer survivors. In paediatric patients, female sex is a significant risk factor for anthracycline-associated cardiotoxicity, yet pre-clinical studies rarely investigate sex differences in immature hearts. Here, we provide a proteomic dataset from primary cardiomyocytes, isolated from postnatal day 2 rat hearts and treated with a clinically relevant concentration of doxorubicin. Analysis of proteins present in all samples identified candidates previously shown to be regulated by doxorubicin in adult hearts, as well as candidates that may be specifically regulated in young hearts. This dataset provides a resource for generating hypotheses on molecular mechanisms contributing to sex differences in juvenile doxorubicin-induced cardiotoxicity.

BackgroundThere is a close correlation between neuroendocrine regulation and pulpitis progression. This study aims to identify key neuroendocrine regulation-related genes in pulpitis, providing insights for its treatment. MethodsGSE77459 and GSE92681 datasets were used to validate experimental findings. Key neuroendocrine regulation-related genes were identified via Cytoscape plugin cytoHubba and expression validation. Gene set enrichment analysis, RNA-binding protein regulatory networks, post-translational modifications, molecular regulatory networks, and drug prediction were performed. Key gene expression was experimentally verified in clinical samples. ResultsTop 10 genes were obtained via cytoHubba; 4 (IL6R, OSM, IL1RN, CCL4) with significant differences between pulpitis and control samples and consistent trends in both datasets were identified as key genes. Gene set enrichment analysis showed key genes participate in pathways like cytokine-cytokine receptor interaction. Related RNA-binding proteins were ELAVL1 and HNRNPA1, with phosphorylation as the main post-translational modification. Core regulatory microRNAs included miR-519, miR-765, miR-23, and regulatory factors included FOXC1, PRRX2. Targeted drugs (e.g., sarilumab, haloperidol decanoate, cyclosporine) were predicted, and clinical sample verification confirmed consistent expression trends. Conclusion4 key neuroendocrine regulation-related genes were identified, which may have clinical significance for the diagnosis and treatment of pulpitis.

Microtubules are dynamic filaments of tubulin heterodimers that comprise an essential part of the eukaryotic cytoskeleton1. The nucleotide state of tubulin controls microtubule dynamics: stable GTP-microtubules favor polymerization, whereas unstable GDP-microtubules drive depolymerization2. Anticancer compounds such as Taxol (paclitaxel) target microtubule dynamicity by preventing microtubule depolymerization3,4. Despite decades of work, the molecular basis of microtubule dynamics remains poorly defined. Using cryo-EM, we determined [~]2.2 [A] structures of human microtubules in GTP-like (GMPCPP) and GDP states. Comparison of these two states revealed switch-like structural changes as tubulins transition from the pre-hydrolysis (GMPCPP) to the post-hydrolysis (GDP) state. Additional structure determination of Taxol-bound microtubules at [~]2.2 [A] showed that Taxol binding converts the microtubule lattice into a pre-hydrolysis state by reversing the structural switches flipped during GTP hydrolysis. Focusing our analysis on the microtubule seam shows that the pre-hydrolysis conformation of GMPCPP or Taxol-GDP exhibits favorable lateral interactions at the seam, with lattice deformations clearly visible at the GDP seam. Together, our data show the existence of structural switches in tubulin that are coupled to the nucleotide state and are exploited by Taxol to stabilize microtubules into a pre-hydrolysis-like state. (191 words)

BackgroundGingival inflammation is associated with dysbiotic oral biofilms characterized by reduced nitrate-reducing capacity and diminished nitric oxide (NO) bioavailability. While dietary nitrate has been shown to influence oral microbial activity, the effects of sustained, localized nitrate delivery on oral biofilm ecology and gingival inflammation remain incompletely defined. Methods and findingsIn this randomized, double-blind, placebo-controlled trial, 30 adults with gingival bleeding were assigned to receive localized prebiotic nitrate ([~]0.989 mmol per dose) or placebo for 21 days. The primary outcome was mean bleeding on probing (mBOP). Secondary outcomes included modified Gingival Index (mGI), Quigley-Hein plaque index (QHPI), salivary nitrite (as a proxy for NO bioavailability), oral pH, and microbiome composition assessed by 16S rRNA gene sequencing. Nitrate supplementation significantly reduced mBOP (25.7% to 15.3%; p = 0.0002) compared to placebo. Salivary nitrite levels and oral pH increased, indicating enhanced nitrate metabolism. Microbiome analysis demonstrated enrichment of nitrate-reducing taxa, including Rothia mucilaginosa and Neisseria spp., and a relative reduction in inflammation-associated genera such as Prevotella and Porphyromonas. No significant differences were observed in plaque index, consistent with functional modulation of the biofilm rather than reduction in plaque accumulation. ConclusionsLocalized prebiotic nitrate supplementation was associated with reduced gingival inflammation and shifts in oral microbiome composition consistent with enhanced nitrate-reducing capacity critical in nitric oxide formation. These findings support a role for biofilm-directed nutritional modulation as a non-antimicrobial approach for managing gingival inflammation and improving nitric oxide bioavailability.

Pentosan polysulfate (PPS) is a semisynthetic sulfated polysaccharide that was approved by the United States Food and Drug Administration (FDA) for treatment of interstitial cystitis (IC). A 2018 study by our group described a vision-threatening macular toxicity associated with long-term use of PPS. However, given the relatively recent characterization of PPS maculopathy, we have limited knowledge of its pathophysiology. The present study therefore investigated the pathophysiology of PPS maculopathy in a cell culture model, assessing impacts of PPS exposure on morphology and mitochondrial function. We treated ARPE-19 cells with increasing doses of PPS and investigated both mitoprotective and cytoprotective mechanisms, mitochondrial reactive oxygen species production (ROS) and respiration, cellular structure, and retinal pigment epithelium (RPE) dysfunction through phagocytosis assays. We found that PPS increased mitochondrial superoxide accumulation and that increased doses of PPS impaired basal and maximal respiration in a Seahorse assay without the expected response of increases in the cellular energy sensor pAMPK. PPS exposure disrupted mitochondrial and cell protective mechanisms against ROS accumulation as assessed through examination of mitochondrial biogenesis markers PGC-1 and SIRT1 and autophagy markers LC3 and p62. PINK1 expression increased with increasing duration of exposure to PPS. Further, we found that PPS led to functional and structural changes to RPE cells, which exhibited an increase in cell aspect ratio and impaired phagocytosis with higher doses of PPS. Lastly, we found an increase in cell death in response to higher doses of PPS, evident through ethidium homodimer cell viability assays. Taken together, our study shows PPS exposure has profound effects on RPE viability and function through impairment of mitochondrial respiration and mito- and cyto-protective mechanisms and highlights mitochondrial insult as a potential focus of future PPS research.

AimTo comprehensively characterize the salivary proteome in periodontitis using Orbitrap Astral data-independent acquisition mass spectrometry (DIA-MS), identify an atlas of differentially expressed proteins (DEPs), and develop a machine learning-derived multi-protein biomarker panel for non-invasive diagnosis of stage III/IV periodontitis. Materials and MethodsUnstimulated saliva samples from 199 participants (periodontal health/gingivitis, n=120; stage III/IV periodontitis, n=79) were analyzed by Orbitrap Astral DIA-MS. DEPs were identified, and pathway enrichment analysis was performed. A two-tier machine learning pipeline--integrating pathway-based feature selection with cross-validated evaluation--was applied to identify the optimal diagnostic panel. ResultsOrbitrap Astral DIA-MS quantified 5,597 salivary proteins and 1,966 DEPs (|log2FC|>0.5, FDR<0.05). Pathway analysis identified 14 periodontitis-relevant KEGG pathways, including Th17 cell differentiation, IL-17 signaling, neutrophil extracellular trap formation, and complement and coagulation cascades. A four-protein panel (TEC, RAC1, MAPK14, KRT17) achieved an area under the curve (AUC) of 0.985 {+/-} 0.010, with 83% sensitivity and 100% specificity. The panel was corroborated using public datasets. ConclusionsTo our knowledge, this study represents the first application of Orbitrap Astral DIA mass spectrometry in periodontitis research, establishing a disease-specific DEPs atlas and a salivary biomarker panel with high diagnostic accuracy for stage III/IV periodontitis, providing a foundation for future external validation studies.

Objective: To identify Dickkopf-1 (DKK1) as a prognostically relevant candidate in head and neck squamous cell carcinoma and to evaluate whether DKK1 and cytoskeleton-associated protein 4 (CKAP4) expression is associated with cervical lymph node metastasis in tongue squamous cell carcinoma (TSCC). Methods: DKK1 was screened using the Human Protein Atlas Pathology Atlas. Immunohistochemical expression of DKK1 and CKAP4 was examined in 54 patients with primary TSCC (cT1-4N0) treated surgically between 2015 and 2020. Nine cases were excluded because of insufficient tissue blocks or inadequate staining quality, leaving 45 evaluable cases. Associations with delayed cervical lymph node metastasis were assessed together with conventional clinicopathological factors, including infiltrative growth pattern (INF) and pathological depth of invasion (pDOI). Results: In public database analysis, high DKK1 expression was associated with poorer overall survival in head and neck squamous cell carcinoma. In the TSCC cohort, pDOI [&ge;]5 mm and INF pattern c were significantly associated with cervical lymph node metastasis. Positive DKK1 and CKAP4 expression were also significantly associated with cervical lymph node metastasis. Furthermore, combined DKK1/CKAP4 positivity, when incorporated with INF and pDOI, provided additional risk stratification, and cases with all 3 factors showed a markedly increased likelihood of cervical lymph node metastasis. Conclusions: Expression of DKK1 and CKAP4 was associated with cervical lymph node metastasis in TSCC. Combined assessment of DKK1/CKAP4 expression with INF and pDOI may improve pathological risk stratification and may help identify patients who require closer neck evaluation and postoperative management.