Biology subjects

Liu, L.

Publications and source records attributed to Liu, L..

At least 289 records · Page 16Linked to original sources

bioRxiv2025

Associations between epilepsy-related polygenic risk and brain morphology in childhood

AO_SCPLOWBSTRACTC_SCPLOWTemporal lobe epilepsy with hippocampal sclerosis (TLE-HS) is associated with a complex genetic architecture, but the translation from genetic risk factors to brain vulnerability remains unclear. Here, we examined associations between epilepsy-related polygenic risk scores for HS (PRS-HS) and brain structure in a large sample of neurotypical children, and correlated these signatures with case-control findings in in multicentric cohorts of patients with TLE-HS. Imaging-genetic analyses revealed PRS-related cortical thinning in temporo-parietal and fronto-central regions, strongly anchored to distinct functional and structural network epicentres. Compared to disease-related effects derived from epilepsy case-control cohorts, structural correlates of PRS-HS mirrored atrophy and epicentre patterns in patients with TLE-HS. By identifying a potential pathway between genetic vulnerability and disease mechanisms, our findings provide new insights into the genetic underpinnings of structural alterations in TLE-HS and highlight potential imaging-genetic biomarkers for early risk stratification and personalized interventions.

neuroscience↗

bioRxiv2025

Distinct CD8+ T-cell types Associated with COVID-19 Severity in Unvaccinated HLA-A2+ Patients

Although emerging data have revealed the critical role of memory CD8+ T cells in preventing and controlling SARS-CoV-2 infection, virus-specific CD8+ T-cell responses against SARS-CoV-2 and its memory and innate-like subsets in unvaccinated COVID-19 patients with various disease manifestations in an HLA-restricted fashion remain to be understood. Here, we show the strong association of protective cellular immunity with mild COVID-19 and unique cell types against SARS-CoV-2 virus in an HLA-A2 restricted manner. ELISpot assays reveal that SARS-CoV-2-specific CD8+ T-cell responses in mild COVID-19 patients are significantly higher than in severe patients, whereas neutralizing antibody responses against SARS-CoV-2 virus significantly correlate with disease severity. Single-cell analyses of HLA-A2-restricted CD8+ T cells, which recognize highly conserved immunodominant SARS-CoV-2-specific epitopes, demonstrate divergent profiles in unvaccinated patients with mild versus severe disease. CD8+ T-cell types including cytotoxic KLRB1+ CD8 cells with innate-like T-cell signatures, IFNGhiID3hi memory cells and IL7R+ proliferative stem cell-like memory cells are preferentially observed in mild COVID-19, whereas distinct terminally-differentiated T-cell subsets are predominantly detected in severe COVID-19: highly activated FASLhi T-cell subsets and early-terminated or dysfunctional IL4R+ GATA3+ stem cell-like memory T-cell subset. In conclusion, our findings suggest that unique and contrasting SARS-CoV-2-specific CD8+ T-cell profiles may dictate COVID-19 severity. O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=143 SRC="FIGDIR/small/632164v1_ufig1.gif" ALT="Figure 1"> View larger version (25K): org.highwire.dtl.DTLVardef@154796corg.highwire.dtl.DTLVardef@efca24org.highwire.dtl.DTLVardef@c01b9corg.highwire.dtl.DTLVardef@54ad83_HPS_FORMAT_FIGEXP M_FIG O_FLOATNOGraphical abstract.C_FLOATNO SARS-CoV-2 epitope-specific CD8+ T-cell subtypes associated with mild or severe COVID-19 patients. Potent memory CD8+ T-cell subtypes with gene signature in mild COVID-19 patients (upper) and dysfunctional CD8+ T-cell subtypes with gene signature in severe COVID-19 patients (lower). C_FIG

immunology↗

bioRxiv2025

Temporal Dynamics of Transcriptional Responses to Repeated mRNA Vaccination: Insights from Third Dose Profiling

mRNA vaccines have played a crucial role in combating the COVID-19 pandemic, but the long-term dynamics of immune responses to repeated vaccination remain poorly understood. In this study, we extend our previous work on first and second dose responses by characterizing the immune signatures elicited by a third dose of COVID-19 mRNA vaccines using high-resolution temporal profiling of blood transcriptomes collected daily for 9 days post-vaccination. We observed distinct patterns of gene expression related to interferon responses, inflammation, erythroid cell signatures, and plasmablast activity across the three doses. While the first dose elicited a modest response primarily characterized by interferon signaling, the second dose induced a robust, polyfunctional response. The third dose, administered approximately nine months later, maintained this polyfunctional character and matched the second dose in magnitude, though with distinct temporal dynamics. The interferon component peaked on day 2 (similar to the first dose) rather than day 1 (as seen in the second dose), while the erythroid signature showed a markedly different trajectory, with sustained elevation rather than decrease over the following week. Notably, we observed a progressive amplification of the plasmablast response across the three doses, with an earlier peak (day 4) compared to other vaccines, potentially a unique feature of mRNA vaccines. These findings demonstrate that the heightened, polyfunctional responsiveness induced by the second dose is robustly maintained even after a prolonged interval, suggesting effective immune memory. Our results contribute to understanding mRNA vaccine-induced immunity, with implications for optimizing booster strategies and developing next-generation vaccines.

immunology↗

bioRxiv2025

Pluripotent stem cell-derived NK progenitor cell therapy prevents tumour occurrence and eradicates minimal residual disease

The lack of persistence and short-term efficacy presents a major challenge for CAR-NK cell therapy. Here, we addressed this issue by developing pluripotent stem cell-derived NK lineage-committed progenitor (iNKP) cell therapy. For the first time, we generated abundant iNKP cells via an organoid culture system. The iNKP cells, engineered to express CXCR4 and chimeric antigen receptors (CAR), efficiently migrated to the bone marrow and generated CAR-iNK cells persisting in peripheral blood (PB) for over 80 days. Notably, CAR-iNKP cell therapy durably protected animals from tumour occurrence. Furthermore, a single low-dose infusion of CAR-iNKP cells following conventional chemotherapy eradicated minimal residual disease (MRD), leading to long-term complete remission. Our findings present a novel strategy to overcome the limitations of traditional CAR-NK cell therapy and offer dural breakthroughs for the prevention of tumour occurrence and relapse.

cancer biology↗

bioRxiv2025

Food pairing independently associated with cardiometabolic traits beyond dietary patterns across western and eastern populations

Cardiometabolic health is closely linked to diet. Both specific food choices and dietary indices are commonly used to guide cardiometabolic protection strategies. However, the balance between foods may also significantly impact cardiometabolic health. Here, we explore the balance and imbalance in long-term dietary food intake to quantify food pairing patterns (FPs), providing insights beyond conventional dietary indices and single-food intake frequencies. Using data from our GGMP (n = 6,994) and the NHANES (n = 7,350) cohorts, we observed that long-term food pairing patterns are independent of single food intake frequency and dietary indices. We identified 1,759 and 306 cardiometabolic-related long-term food pairing patterns from two cohorts (FDR < 0.05), respectively. Notably, around 80% of these pairing foods not individually associated with cardiometabolic traits, and food pairing pattern associations with cardiometabolic traits at hyper food group level were consistent across Eastern and Western populations. Besides, mediation analysis revealed that 72.7% of long-term food pairing patterns affected cardiometabolic traits through 31 microbial genera, with Clostridiumsensustricto1 playing a predominant role. Moreover, multi-step mediation analysis found that microbes mediated the impact of long-term food pairing patterns on cardiometabolic traits primarily through their metabolic pathways, such as pyruvate fermentation to propanoate and ergothioneine biosynthesis pathways. Our data suggest that balance between dietary foods is broadly associated with cardiometabolic traits by modulating gut microbial functionalities, in contrast to the lower occurrence when considering individual foods in isolation. These results offer a novel perspective for designing personalized dietary strategies beyond present dietary indices to enhance cardiometabolic health.

microbiology↗

bioRxiv2025

Single-cell and spatial transcriptomics uncover the role of B chromosomes in driving plant invasiveness

Invasive plants pose a major threat to global biodiversity, yet the molecular and genomic mechanisms underlying their success remain poorly understood. Here, we investigate the common reed (Phragmites australis), a grass species that became invasive in North America after introduction from Europe, to unravel the molecular mechanisms of its invasiveness. By integrating single-cell RNA sequencing, spatial transcriptomics, and comparative genomics, we constructed a single-cell atlas of P. australis and identified 19 transcriptionally distinct cell types, including shoot apical meristem, epidermal, and vascular tissues. Comparative analysis of common garden-grown native (European) and invasive (North American) populations revealed a significant proportion of differentially expressed genes (DEGs) located on B chromosomes, which underwent copy number expansion in invasive genomes. The proportion of B chromosome genes in DEGs varies across cell types, with the highest proportions observed in the epidermis and mesophyll, and lower proportions in the vascular tissues. Gene IMPA-3, a B chromosome gene likely derived from transposable element activity, exhibited an elevated mutation rate compared to its ancestral counterparts, potentially enhancing adaptive evolution in invasive populations. Invasive individuals also displayed molecular regulatory networks related to photosynthetic efficiency, stress tolerance, and growth-defense trade-offs. Together, our findings provide a cell-type-resolved molecular atlas of a non-model invasive plant and offer key insights into the cellular and genomic architecture of plant invasiveness, with implications for ecological management.

evolutionary biology↗

bioRxiv2024

Evolutionary conserved reciprocal senescence and tumor suppressor signals limit lifetime cancer

Cellular senescence features a durable exit from the cell cycle triggered by stress or carcinogens. The INK4 locus is inactivated in various cancers, yet in senescence, p16Ink4a is activated. Whether senescence is tumor-suppressing or -promoting remains a conundrum. We discovered an evolutionally-conserved Vertebrata INK4-homolog. This ink4ab triggers senescence upon oxidative- and/or carcinogenic-stress. Adult Ink4ab-deficient animals failed to activate senescence and developed spontaneous cancers. Combined Ink4ab and Tp53 deficiency revealed a reciprocal senescence and apoptosis regulation, controlling tumorigenesis, including retinoblastoma. INK4-hematopoietic-deficient mice exhibited p19Arf-dependent enhanced senescence-like phenotypes, uncontrolled cell proliferation, defective stem cell differentiation, and splenomegaly, with single-splenocytes spatially-enriched in senescence-associated secretory profiles. Our studies reveal the evolutionary origin of paradigms co-regulating senescence and tumor suppression and offer strategies to exploit these reciprocal pathways for cancer prevention and therapy.

cancer biology↗

bioRxiv2024

Homogeneously crosslinked in situ hydrogel enclosing high-density human-cancer cells promotes vascularized in vivo tumor modeling for immune cell therapy

Cancer models in animal studies play a central role in cancer research, particularly in investigating vascularized tumor tissues for the validation of immune cell therapies. However, xenografts relying solely on cancer cells are ineffective for optimal tumor tissue formation. Additionally, tumor modeling using hydrogels with cancer cells to promote vascularization often leaves behind residual biomaterials that inhibit integration with surrounding tissues. To address these issues, we utilized a straightforward in vivo vascularized tumor modeling method with a completely degradable, crosslinker-free carboxymethyl chitosan (CMCTS)/oxidized hyaluronic acid (OHA) hydrogel that encapsulates high-density human cancer cells for in situ injection. The CMCTS/oHA hydrogel was fully degraded within 3 weeks, enabling three-dimensional (3D) cell condensation in vitro. 2 weeks after subcutaneous injection in mice, solid tumors formed, with native host vasculature infiltrating the transplanted human cancer cells, confirming spontaneous hydrogel degradation. Following this, human macrophages were administered via tail vein injection, enhancing the accumulation of mouse immune cells in the humanized tumor twofold and showing murine macrophages adjacent to the vasculature. This study thus provides proof-of-concept for a facile and fully vascularized humanized tumor model in mice for validating immune cell therapies. HIGHLIGHTSO_LIThe oHA was prepared using sodium periodate treatment, which facilitated the formation of in situ CMCTS/oHA hydrogels C_LIO_LICMCTS/oHA hydrogels completely degraded within a short period, allowing for 3D cell condensation C_LIO_LIHigh-density cell-laden CMCTS/oHA hydrogels were injected subcutaneously in mice, resulting in the generation of a vascularized solid tumor C_LIO_LIThe transplanted therapeutic cell was observed to adhere to the tumor tissue through the bloodstream C_LI

bioengineering↗

bioRxiv2024

MorphoDiff: Cellular Morphology Painting with Diffusion Models

Understanding cellular responses to external stimuli is critical for parsing biological mechanisms and advancing therapeutic development. High-content image-based assays provide a cost-effective approach to examine cellular phenotypes induced by diverse interventions, which offers valuable insights into biological processes and cellular states. In this paper, we introduce MorphoDiff, a generative pipeline to predict high-resolution cell morphological responses under different conditions based on perturbation encoding. To the best of our knowledge, MorphoDiff is the first framework capable of producing guided, high-resolution predictions of cell morphology that generalize across both chemical and genetic interventions. The model integrates perturbation embeddings as guiding signals within a 2D latent diffusion model. The comprehensive computational, biological, and visual validations across three open-source Cell Painting datasets show that MorphoDiff can generate high-fidelity images and produce meaningful biology signals under various interventions. We envision the model will facilitate efficient in silico exploration of perturbational landscapes towards more effective drug discovery studies.

bioinformatics↗

bioRxiv2024

Differential metabolic biomarkers between coronary heart disease and diabetes mellitus

BackgroundCoronary heart disease (CHD), the leading cause of death globally, is a complex disease often association with metabolic disorders, particularly when co-occurring with diabetes mellitus (DM). However, the mechanisms underlying the interaction between these two chronic conditions remain poorly understood. MethodsIn this study, we enrolled 320 participants, including 103 healthy controls (HC), 62 individuals with CHD, 44 with DM, and 47 with both CHD and DM (CHDDM)) in the training set, along with 64 participants (20 HC, 18 CHD, 12 DM, and 14 CHDDM) in the test set. Plasma metabolomic profiling was performed using gas chromatograph-mass spectrometry (GC-MS) and ultra-high performance liquid chromatography-mass spectrometry (UHPLC-MS)-based multi-platform untargeted metabolomics. ResultsUsing multi-platform metabolomics, we identified 453 distinct metabolites. Through multivariate statistical analysis, we assigned 63, 27, and 56 disease-associated metabolic biomarkers for CHD, DM, and CHDDM, respectively, followed by pathway enrichment analysis. Using an area under the receiver operating characteristic (ROC) curve (AUC) cutoff value > 0.77, we identified 10, 4, and 8 disease-specific biomarkers for CHD, DM, and CHDDM, respectively. Notably, N-Formyl-L-methionine, N-Acetyl-L-methionine, PE 36:1p (18:0p/18:1), PE 36:2p (18:0p/18:2), and PE 34:2p (16:0p/18:2) were predominant in CHD, glycerophosphocholine and turanose were distinctive to DM, and xanthine and PE 38:5p (18:1p/20:4) were unique to CHDDM. These disease-specific metabolites showed superior diagnostic performance in their respective conditions. Additionally, 23 metabolites were identified as potential biomarkers for assessing the risk of CHD in DM patients. ConclusionThis comparative metabolomics approach provided new insights into disease-specific markers and pathogenic pathways, offering potential for improved diagnosis and management of CHD and DM.

molecular biology↗

bioRxiv2024

PERK Signaling Maintains Hematopoietic Stem Cell Pool Integrity under Endoplasmic Reticulum Stress by Promoting Proliferation

The integrity of the hematopoietic stem cell (HSC) pool relies on efficient long-term self-renewal and the timely removal of damaged or differentiation-prone HSCs. Previous studies have demonstrated the PERK branch of the unfolded protein response (UPR) drives specific programmed cell death programs to maintain HSC pool integrity in response to ER stress. However, the role of PERK in regulating HSC fate in vivo remains unclear. Here, we demonstrate that PERK is dispensable for normal hematopoiesis and HSC self-renewal under steady-state conditions. In contrast, PERK is activated to promote HSC proliferation and depletion in response to ER stress induced by the inactivation of ER-associated degradation (ERAD), via the knockout of key components of ERAD Sel1L or Hrd1. Inhibition of PERK, either through genetic knockout or knock-in of a point mutation that eliminates PERK kinase activity, significantly restores the HSC defects induced by Sel1L or Hrd1 knockout. Mechanistic studies reveal that ERAD deficiency does not lead to HSC death or ROS accumulation. Instead, PERK promotes the activation of mTOR signaling and drives abnormal proliferation of HSCs, impairing their self-renewal potential. This process removes stressed HSCs, thereby maintaining HSC pool integrity. Our study uncovers a PERK-centered strategy employed by HSCs to preserve their pool integrity independently of apoptosis. Key pointsO_LIPERK is not required for steady-state hematopoiesis but preserves hematopoietic stem cell pool integrity in response to increased ER stress. C_LIO_LIUnder ER stress induced by ERAD deficiency, PERK is activated to promote mTOR signaling and HSC hyper-proliferation, depleting damaged HSCs. C_LI

cell biology↗

bioRxiv2024

Assessment of DNA methylation from a single genomic region of ELOV2 is sufficient to predict chronological age

Estimation of chronological age is particularly informative in forensic contexts. Assessment of DNA methylation status allows for the prediction of age, though the accuracy and ease of manipulation may vary across different models. In this study, we started with a carefully designed discovery cohort recruiting more elderly subjects than other age categories, to diminish the effect of epigenetic drifting. We analyzed DNA methylation from a single genomic region of ELOV2, which was sufficient to construct an age-prediction model comprising 15 CpG sites. This model is further validated by an independent cohort as well as a multi-center test using trace dried bloodstains. The nature of our analytical pipeline, when combined the assessment of a single genomic locus with high-throughput sequencing, can easily be scaled up with low cost. Taken together, we propose a new age-prediction model featuring accuracy, ease of manipulation, high-throughput, and low cost. This model can be readily applied in both classic and newly emergent forensic contexts that require age estimation.

genetics↗

bioRxiv2024

Effect of OASL on OXA-induced immunogenic cell death in gastric cancer via cGAS-STING pathway

This study investigates the role of 2-5 oligoadenylate synthetase-like (OASL) in Oxaliplatin (OXA)-induced immunogenic cell death (ICD) in Gastric cancer (GC) cells through the cGAS-STING signaling pathway. Knockdown of OASL enhanced ICD expression, while overexpression had the opposite effect. RNA sequencing of OASL-knockdown and control GC cells treated with OXA revealed significant enrichment of the second messenger signaling pathway (cGAMP). cGAMP could directly activate STING as a second messenger, and cGAS was a key synthetic enzyme upstream of cGAMP. Next, the role of OASL in OXA-induced ICD in GC cells was validated through the cGAS-STING signaling pathway. The Co-IP and immunofluorescence results confirmed that the OASL and cGAS proteins can bind directly. Further research validated these findings in vivo. Results show that OASL regulates OXA-induced ICD in GC cells via the cGAS-STING pathway, impacting chemosensitivity. The findings suggest new targets and strategies for improving GC therapy by modulating OASL expression to enhance OXA sensitivity through immunogenic mechanisms.

cancer biology↗

bioRxiv2024

Enhancing RNA Delivery: Practical Insights into NeoLNP Transfection Reagent

The rapid advancement of RNA-based therapeutics, particularly in the wake of COVID-19 vaccine success, has prompted significant research into optimizing RNA delivery mechanisms. This study evaluates the NeoLNP RNA Transfection Kit developed by Scindy Pharmaceutical, which utilizes lipid nanoparticles (LNPs) for efficient RNA encapsulation and delivery. We systematically investigate various parameters affecting transfection efficiency, including RNA concentration, RNA/LNP volume ratios, mixing techniques, LNP stability, and culture media. Our results demonstrate that the optimal RNA concentration for transfection efficiency is around 40-60 ng/{micro}L, with a 1:0.75-1:1 RNA-to-LNP ratio yielding the highest protein expression. Additionally, we find that gentle mixing techniques outperform harsher methods, and the stability of LNP-RNA complexes significantly influences transfection outcomes. This research provides practical guidelines for enhancing RNA transfection efficiency, paving the way for more effective RNA therapeutics.

molecular biology↗

bioRxiv2024

Drug Response Modeling across Cancers: Proteomics vs. Transcriptomics

Cancer cell lines are the most common in-vitro models for the evaluation of anti-cancer drug sensitivities. Past studies have been conducted to decipher and characterize the pharmacogenomic feature of cell lines based on other omics data, such as genomic mutation data and whole-genome RNA sequencing (RNA-seq) profiles. In particular, proteomic data is also an essential component for the characterization of tumours. However, different from RNA-seq datasets rich in numerous transcriptome profiles of cancer cell lines and cell viability assay of drug responses, the pharmacogenomic protein quantifications are relatively scarce. With the availability of the recently enriched proteomic dataset ProCan-DepMapSanger, we systematically evaluated the interplays among genomic mutations, transcription, and protein expressions across cancer cell lines. In general, blood cancers have higher RNA-protein correlations than those in solid cancers. The differential expression analysis on protein data helped identify more expressional and functional impact of genomic mutations of cancer genes. We also integrated the proteomic map with drug molecular chemical features to construct a bi-modal machine learning model to infer the drug sensitivities of cancer cell lines. Our results demonstrated that protein quantifications can lead to better drug response prediction performance than the model trained on transcriptome profiles. In addition, integrating protein data with drug chemical features, represented as molecular graphs and learned by Graph Neural Network, outperformed the state-of-the-art model DeepOmicNet for drug response prediction in proteomics.

bioinformatics↗

bioRxiv2024

Optimizing a Human Monoclonal Antibody for Better Neutralization of SARS-CoV-2

SARS-CoV-2 has largely evolved to resist antibody pressure, with each successive viral variant becoming more and more resistant to serum antibodies in the population. This evolution renders all previously authorized anti-spike therapeutic monoclonal antibodies inactive, and it threatens the remaining pipelines against COVID-19. We report herein the isolation of a human monoclonal antibody with a broad but incomplete SARS-CoV-2 neutralization profile, but structural analyses and mutational scanning lead to the engineering of variants that result in greater antibody flexibility while binding to the viral spike. Three such optimized monoclonal antibodies neutralize all SARS-CoV-2 strains tested with much improved potency and breadth, including against subvariants XEC and LP.8.1. The findings of this study not only present antibody candidates for clinical development against COVID-19, but also introduce a unique engineering approach to improve antibody activity via increasing conformational flexibility.

microbiology↗

bioRxiv2024

ecPath detects ecDNA in tumors from histopathology images

Circular extrachromosomal DNA (ecDNA) can drive tumor initiation, progression and resistance in some of the most aggressive cancers and is emerging as a promising anti-cancer target. However, detection currently requires costly whole-genome sequencing (WGS) or labor-intensive cytogenetic or FISH imaging, limiting its application in routine clinical diagnosis. To overcome this, we developed ecPath (ecDNA from histopathology), a computational method for predicting ecDNA status from routinely available hematoxylin and eosin (H&E) images. ecPath implements a deep-learning method we call transcriptomics-guided learning, which utilizes both transcriptomics and H&E images during the training phase to enable successful ecDNA prediction from H&E images alone, a task not achievable with models trained on H&E images only. It is trained on more than 6,000 tumor whole-slide images from the TCGA cohort with the best performance in predicting ecDNA status in brain and stomach tumors (average AUC=0.78). ecPath revealed that ecDNA-positive tumors are enriched with pleomorphic, larger and high-density nuclei. Testing in an independent cohort, ecPath predicted ecDNA status of 985 pediatric brain tumor patients with an AUC of 0.72. Finally, we applied ecPath to identify ecDNA-positive tumors in the TCGA cohort for which no WGS data were available. Like WGS-based ecDNA-positive labels, the predicted ecDNA-positive status also identify poor prognoses for low grade glioma patients. These results demonstrate that ecPath enables the detection of ecDNA from routinely available H&E imaging alone and help nominate aggressive tumors with ecDNA to study and target it.

pathology↗

bioRxiv2024

Curcumin attenuates microglia-mediated chronic neuropathic pain through CDK5 /p35 signaling pathway

Curcumin is a phenolic compound derived from turmeric, one of the main ingredients of curry powder, which is widely used for its antioxidant, anti-inflammatory and immunomodulatory effects. Curcumin has been reported to help relieve pain, such as neuropathic pain caused by injury or disease, but the specific mechanism of its antinociceptive effect on pathological pain is unclear. Cyclin-dependent kinase 5 (Cdk5) is a key control point for the release of neurotransmitters from presynaptic vesicles. Cdk5 and its activator p35 couple to regulate key signaling cascades, thereby participating in the pain process. In this study, we established a NP model by chronic constriction injury (CCI) of the bilateral sciatic nerve in rats and evaluated behavioral hyperalgesia using mechanical and hot and cold tests. Protein expression and distribution were evaluated using western blotting and immunofluorescence. The results showed that Iba-1 and Cdk5/p35 were co-localized in the dorsal horn and dorsal root ganglia, respectively. After CCI, the expression of Cdk5 and p35 was upregulated in the dorsal horn and dorsal root ganglia, while intraperitoneal injection of curcumin significantly reversed the activation of Cdk5/p35 protein and alleviated the hyperalgesia in rats. In addition, the injection of curcumin reduced the co-localization expression of Iba-1 and Cdk5/p35, indicating that curcumin inhibited the activation of Cdk5/p35 protein in the dorsal horn and dorsal root ganglia, thereby affecting the activation of microglia, thereby having a destructive effect on the neuronal cell plasticity and synaptic structure remodeling in the development of NP. Our study provides new evidence that Cdk5/p35 in the dorsal horn and dorsal root ganglia is related to the occurrence of NP, introduces microglia as the basis for the long-term maintenance of NP, and provides insights into the molecular mechanisms involved in the analgesic effect of curcumin. Graphical Abstract O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=188 SRC="FIGDIR/small/623498v1_ufig1.gif" ALT="Figure 1"> View larger version (80K): org.highwire.dtl.DTLVardef@125fc20org.highwire.dtl.DTLVardef@cba7d3org.highwire.dtl.DTLVardef@772291org.highwire.dtl.DTLVardef@17e87e3_HPS_FORMAT_FIGEXP M_FIG C_FIG

neuroscience↗