Biology subjects

Kim, K.

Publications and source records attributed to Kim, K..

At least 127 records · Page 7Linked to original sources

bioRxiv2025

Combinatorial effects of Zingiber officinale and Citrus limon juices: Hypolipidemic and antioxidant insights from in vivo, in vitro, and in silico investigations

The combined use of Zingiber officinale (ginger) and Citrus limon (lemon) has long been valued in traditional medicine for their significant therapeutic properties, particularly in supporting cardiovascular health. However, their synergistic effects on hyperlipidemia and oxidative stress, both critical risk factors for cardiovascular diseases, remain underexplored. This study employed a multidisciplinary approach including in vivo (mice model with triton WR-1339-induced hyperlipidemia), in vitro (antioxidant assays such as DPPH and ABTS), and in silico (molecular docking targeting HMG-CoA reductase) to evaluate the hypolipidemic and antioxidant potential of ginger and lemon juices. Phytochemical analysis identified high concentrations of bioactive compounds, with ginger juice containing 6-gingerol (15.54% peak area) and lemon juice featuring hesperidin (13.85% peak area) and rutin (5.57% peak area). These compounds were instrumental in the observed pharmacological effects. The combined formulation significantly improved lipid profiles, reducing total cholesterol by 54.3%, triglycerides by 49.8%, and LDL by 58.1% while increasing HDL by 47.6% compared to hyperlipidemic controls (p < 0.05). Antioxidant assays revealed high free radical scavenging activity, with IC50 values of 30.92 {+/-} 2.00 {micro}g/mL for ABTS and 44.94 {+/-} 1.02 {micro}g/mL for DPPH in the combined formulation. Molecular docking confirmed strong binding affinities, with hesperidin and 6-gingerol showing binding energies of -10.4 kcal/mol and -9.6 kcal/mol, respectively, against HMG-CoA reductase. In conclusion, combining Zingiber officinale and Citrus limon juices demonstrates robust hypolipidemic and antioxidant effects, significantly outperforming the individual juices. These results support their potential as natural therapeutic agents for managing hyperlipidemia and oxidative stress. Further clinical studies are recommended to validate these promising findings and explore their application in nutraceutical development.

pharmacology and toxicology↗

bioRxiv2025

Shigella OspF blocks rapid p38-dependent priming of the NAIP-NLRC4 inflammasome

The NAIP-NLRC4 inflammasome senses pathogenic bacteria by recognizing the cytosolic presence of bacterial proteins such as flagellin and type III secretion system (T3SS) subunits. In mice, the NAIP-NLRC4 inflammasome provides robust protection against bacterial pathogens that infect intestinal epithelial cells, including the gastrointestinal pathogen Shigella flexneri. By contrast, humans are highly susceptible to Shigella, despite the ability of human NAIP-NLRC4 to robustly detect Shigella T3SS proteins. Why the NAIP-NLRC4 inflammasome protects mice but not humans against Shigella infection remains unclear. We previously found that human THP-1 cells infected with Shigella lose responsiveness to NAIP-NLRC4 stimuli, while retaining sensitivity to other inflammasome agonists. Using mT3Sf, a "minimal Shigella" system, to express individual secreted Shigella effector proteins, we found that the OspF effector specifically suppresses NAIP-NLRC4-dependent cell death during infection. OspF was previously characterized as a phosphothreonine lyase that inactivates p38 and ERK MAP kinases. We found that p38 was critical for rapid priming of NAIP-NLRC4 activity, particularly in cells with low NAIP-NLRC4 expression. Overall, our results provide a mechanism by which Shigella evades inflammasome activation in humans, and describe a new mechanism for rapid priming of the NAIP-NLRC4 inflammasome.

immunology↗

bioRxiv2025

Biphasic inflammation control by dedifferentiated fibroblasts enables axon regeneration after spinal cord injury in zebrafish

Fibrosis and persistent inflammation are interconnected processes that inhibit axon regeneration in the mammalian central nervous system (CNS). In zebrafish, by contrast, fibroblast-derived extracellular matrix deposition and inflammation facilitate regeneration. However, the regulatory cross-talk between fibroblasts and the innate immune system in the regenerating CNS is not understood. Here, we show that zebrafish fibroblasts possess a dual role in inducing and subsequently resolving inflammation, which are both essential for regeneration. We identify a transient, injury-specific cthrc1a+ fibroblast state with an inflammation-associated, less differentiated, and non-fibrotic profile. Induction of this fibroblast state precedes and contributes to the initiation of the inflammatory response. At the peak of neutrophil influx, cthrc1a+ fibroblasts coordinate the resolution of inflammation. Disruption of these inflammation dynamics inhibits axon regeneration and alters the mechano-structural properties of the lesion environment. This establishes the biphasic inflammation control by dedifferentiated fibroblasts as a pivotal mechanism for CNS regeneration. ONE SENTENCE SUMMARYDedifferentiated fibroblasts sequentially induce and resolve neutrophil-driven inflammation through cytokine release to facilitate axon regeneration after spinal cord injury in zebrafish. HIGHLIGHTSO_LITime-resolved single-cell transcriptomics of zebrafish spinal cord regeneration. C_LIO_LISpinal cord injury induces fibroblast dedifferentiation. C_LIO_LIDedifferentiated fibroblasts sequentially induce and resolve inflammation. C_LIO_LIDysregulation of inflammation dynamics alters mechano-structural tissue properties. C_LI

neuroscience↗

bioRxiv2025

Contrastive Learning for Omics-guided Whole-slide Visual Embedding Representation

While computational pathology has transformed cancer diagnosis and prognosis prediction, existing computational methods remain limited in their ability to decipher the complex molecular characteristics within tumors. We present CLOVER (Contrastive Learning for Omics-guided whole-slide Visual Embedding Representation), a novel deep learning framework that leverages self-supervised contrastive learning to integrate multi-omics data (genomics, epigenomics, and transcriptomics) with slide representations, connecting the morphological and molecular features of tumors. Using the breast cancer cohorts comprising diagnostic slides and multi-omics paired data from 610 breast cancer patients, we validated CLOVERs excellence by demonstrating its ability to generate effective slide-level representations that consider molecular states of cancer. CLOVER outperforms existing methods in few-shot learning scenarios, particularly in cancer subtype classification and clinical biomarker prediction tasks (ER, PR, and HER2 status). Through comprehensive interpretability analysis, we identified tumor microenvironment components within slides and revealed molecular features associated with breast cancer. Our results demonstrate that CLOVER enables detailed molecular characterization from single slide analysis, suggesting its potential for effective utilization in future cancer diagnosis and prognosis prediction studies.

pathology↗

bioRxiv2025

scMILD: Single-cell Multiple Instance Learning for Sample Classification and Associated Subpopulation Discovery

Linking cellular states to clinical phenotypes is a major challenge in single-cell analysis. Here, we present scMILD, a weakly supervised Multiple Instance Learning framework that robustly identifies condition-associated cells using only sample-level labels. After systematically validating scMILDs accuracy through controlled simulations, we applied it to diverse disease datasets, confirming its ability to retrieve known biological signatures. Building on this, our sample-informed analysis of scMILD-identified monocytes in COVID-19 revealed a temporal transition from an early antiviral to a late stress-response state. Furthermore, in a novel cross-disease application, a model trained on COVID-19 successfully stratified Lupus patients and distinguished shared inflammatory states from disease-specific ones. scMILD thus provides a validated and versatile strategy to dissect cellular heterogeneity, bridging single-cell observations with high-level phenotypes.

bioinformatics↗

bioRxiv2024

Lymphatic drainage of cerebrospinal fluid using lymph node seeker 64Cu-labeled Gram-negative bacterial extracellular vesicles PET

Cerebrospinal fluid (CSF) is drained into the systemic lymphatics via paravertebral lymph nodes. Superficial and deep cervical lymph nodes collect CSF in mice, but the exact and quantified routes are unknown. Recently, we simultaneously visualized cervical, sacral and iliac lymph nodes via serial imaging on the intrathecal [64Cu]Cu-albumin positron emission tomography. Paravertebral lymph nodes might act as sentinels to monitor the CSF, brain, and spinal cord. We used 64Cu-labeled Escherichia coli extracellular vesicles, outer membrane vesicles (OMVs), as lymph node seekers for intrathecal administration with an optimized volume/rate and quantified the differential amounts of various paravertebral lymph nodes along the axis of the brain and spinal cord in mice. The quantified results revealed 77.3% in superficial and deep cervical lymph nodes, 11.4% in abdominal/pelvic lymph nodes and 11.3% in sacral lymph nodes. Click-labeled [64Cu]Cu-OMVs were drained to reach and stop at the lymph nodes on serial quantification. The cervical lymph nodes drained most of the OMV-laden CSF, which is proportional to the surface areas of the brain (70%) and spinal cord in mice. We propose that all paravertebral lymph nodes monitor the segmental regions of the brain and spinal cord as immediate sentinel lymph nodes against the central nervous system.

neuroscience↗

bioRxiv2024

Polyfunctional IL-21+ IFNg+ T follicular helper cells contribute to checkpoint inhibitor diabetes mellitus and can be targeted by JAK inhibitor therapy

Immune checkpoint inhibitors (ICI) have revolutionized cancer therapy, but their use is limited by the development of autoimmunity in healthy tissues as a side effect of treatment. Such immune-related adverse events (IrAE) contribute to hospitalizations, cancer treatment interruption and even premature death. ICI-induced autoimmune diabetes mellitus (ICI-T1DM) is a life-threatening IrAE that presents with rapid pancreatic beta-islet cell destruction leading to hyperglycemia and life-long insulin dependence. While prior reports have focused on CD8+ T cells, the role for CD4+ T cells in ICI-T1DM is less understood. Here, we identify expansion CD4+ T follicular helper (Tfh) cells expressing interleukin 21 (IL-21) and interferon gamma (IFN{gamma}) as a hallmark of ICI-T1DM. Furthermore, we show that both IL-21 and IFN{gamma} are critical cytokines for autoimmune attack in ICI-T1DM. Because IL-21 and IFN{gamma} both signal through JAK-STAT pathways, we reasoned that JAK inhibitors (JAKi) may protect against ICI-T1DM. Indeed, JAKi provide robust in vivo protection against ICI-T1DM in a mouse model that is associated with decreased islet-infiltrating Tfh cells. Moreover, JAKi therapy impaired Tfh cell differentiation in patients with ICI-T1DM. These studies highlight CD4+ Tfh cells as underrecognized but critical mediators of ICI-T1DM that may be targeted with JAKi to prevent this grave IrAE. VISUAL ABSTRACT O_FIG O_LINKSMALLFIG WIDTH=200 HEIGHT=92 SRC="FIGDIR/small/625710v1_ufig1.gif" ALT="Figure 1"> View larger version (26K): org.highwire.dtl.DTLVardef@ed4acdorg.highwire.dtl.DTLVardef@c9e062org.highwire.dtl.DTLVardef@1aa81eforg.highwire.dtl.DTLVardef@1388747_HPS_FORMAT_FIGEXP M_FIG C_FIG

immunology↗

bioRxiv2024

Isolation and characterization of microbiota from human pancreatic tumors and small intestine

Pancreatic ductal adenocarcinoma has a unique tumor microbiome and the systemic depletion of bacteria or fungi using antibiotic/antifungal cocktails leads to a decrease in pancreatic tumor burden in mice. However, functional studies remain rare due to the limited availability of clinically relevant microbiota. Here, we describe in detail the isolation of bacteria and fungi from the small intestine and tumor of pancreatic cancer patients at the Rogel Cancer Center. We then further characterized the impact of a newly isolated Klebsiella oxytoca strain (UMKO1) on the pancreatic tumor microenvironment using bacterial genome sequencing, untargeted and targeted metabolomics, as well as an ex vivo tumor transplant system. We found that UMKO1 possesses a gene for the long form of cytidine deaminase, which can inactivate the standard PDAC chemotherapeutic agent gemcitabine. In addition, we found that UMKO1 can produce several indoles when grown in tumor-like conditions, metabolites that can lead to an immune suppressive environment and interfere with therapy outcome. To test this in detail, we assessed changes in immune populations in pancreatic tumor explants upon exposure to the supernatant of UMKO1 and other isolated bacteria grown in tumor Interstitial fluid media (TIFM). We found that while none of the bacterial supernatants changed the abundance of CD8 T cells, granzyme B positive CD8 T cells were the lowest in tumor explants exposed to UMKO1, and not other isolated Klebsiella species or the non-pathogenic laboratory strain E. coli K12. In summary, the isolated collection of bacteria and fungi from this study are a valuable toolbox to study the impact of microbiota on pancreatic cancer.

cancer biology↗

bioRxiv2024

Bridging in vitro and in vivo insights: A PKPD model for effective phage therapy against multidrug-resistant Pseudomonas aeruginosa

Bacteriophage therapy provides a promising solution for multidrug-resistant Pseudomonas aeruginosa. However, optimizing phage combinations and dosages remains challenging. Here, we developed and validated a pharmacokinetic-pharmacodynamic (PKPD) model integrating in vitro and in vivo efficacy data using three phage strains (MP-A, PP-A, and PP-B), administered both alone and in combination. In vitro phage resistance was substantially delayed by combining phages that exhibit collateral sensitivity. However, multiple phage resistance eventually emerged. In vivo, growth of phage-resistant mutants was minimal. Our model suggests that this outcome was due to an initial phage-induced reduction in bacterial load, followed by immune clearance of the phage-resistant bacteria. Simulations indicated that higher phage exposure at the site of infection caused a faster decline in bacterial levels below the immune clearance threshold and prevented excessive immune activation. Overall, this study offers crucial guidance for treatment strategies and highlights the importance of mathematical modeling in advancing phage therapy.

microbiology↗

bioRxiv2024

Intranasal dantrolene nanoparticles inhibit inflammatory pyroptosis in 5XFAD mice brains

BackgroundThis study investigates the effects of intranasal dantrolene nanoparticles on inflammation and programmed cell death by pyroptosis in 5XFAD Alzheimers Disease (AD) mice. Methods5XFAD and wild type (WT) B6SJLF1/J mice were treated with intranasal dantrolene nanoparticles (5 mg/kg), daily, Monday to Friday, for 12 weeks continuously, starting at 9 months of age. Blood and brain were harvested at 13 months of age, one month after completion of 12 weeks intranasal dantrolene nanoparticle treatment. Blood biomarkers function of liver (Alanine transaminase, ALT), kidney (Creatinine), and thyroid (TSH: Thyroid-stimulating hormone) were measured using ELISA. The changes of whole brain tissue proteins on Ca2+ release channels on membrane of endoplasmic reticulum (type 2 ryanodine and type 1 InsP3 receptors, RyR-2 and InsP3R-1), lipid peroxidation byproduct malondialdehyde (MDA)-modified proteins, 4-HNE, pyroptosis regulatory proteins (NLR family pyrin domain containing 3 (NLRP3), cleaved caspase-1, full length or N-terminal of Gasdermin D (GSDMD), cytotoxic (IL-1, IL-18, IL-6, TNF-a) and cytoprotective (IL-10) cytokines, astrogliosis (GFAP), microgliosis (IBA-1) and synapse proteins (PSD-95, Synapsin-1) were determined using immunoblotting. Body weights were monitored regularly. ResultsIntranasal dantrolene nanoparticles significantly inhibited the increase of RyR-2 and InsP3R-1 proteins, MDA-modified proteins, 4-NHE, pyroptosis regulatory proteins (NLRP3, cleaved caspase-1, N-terminal GSDMD), cytotoxic cytokine (IL-1{beta}, IL-18, IL-6, TNF-), biomarkers for astrogliosis (GFAP) and microgliosis (IBA-1), and the decrease of cytoprotective cytokine (IL-10) and synaptic proteins (PSD-95, synpasin-1). Intranasal dantrolene nanoparticles for 12 weeks did not affect blood biomarkers for function of liver, kidney, and thyroid, not did it change body weight significantly. ConclusionIntranasal dantrolene nanoparticles significantly inhibit the increase of RyR-2 and InsP3R-1 Ca2+ channel receptor proteins, ameliorate activation of the pyroptosis pathway and pathological inflammation, and the associated loss of synapse proteins. Intranasal dantrolene nanoparticles for three months did not affect liver, kidney and thyroid functions or cause other side effects.

neuroscience↗

bioRxiv2024

The Salmonella pathogenicity island 1-encoded small RNA InvR mediates post-transcriptional feedback control of the activator HilA in Salmonella

Salmonella Pathogenicity Island 1 (SPI1) encodes a type three secretion system (T3SS) essential for Salmonella invasion of intestinal epithelial cells. Many environmental and regulatory signals control SPI1 gene expression, but in most cases, the molecular mechanisms remain unclear. Many of these regulatory signals control SPI1 at a post-transcriptional level and we have identified a number of small RNAs (sRNAs) that control the SPI1 regulatory circuit. The transcriptional regulator HilA activates expression of the genes encoding the SPI1 T3SS structural and primary effector proteins. Transcription of hilA is controlled by the AraC-like proteins HilD, HilC, and RtsA. The hilA mRNA 5 untranslated region (UTR) is ~350-nuclotides in length and binds the RNA chaperone Hfq, suggesting it is a likely target for sRNA-mediated regulation. We used the rGRIL-seq (reverse global sRNA target identification by ligation and sequencing) method to identify sRNAs that bind to the hilA 5 UTR. The rGRIL-seq data, along with genetic analyses, demonstrate that the SPI1-encoded sRNA InvR base pairs at a site overlapping the hilA ribosome binding site. HilD and HilC activate both invR and hilA. InvR in turn negatively regulates the translation of the hilA mRNA. Thus, the SPI1-encoded sRNA InvR acts as a negative feedback regulator of SPI1 expression. Our results suggest that InvR acts to fine-tune SPI1 expression and prevent overactivation of hilA expression, highlighting the complexity of sRNA regulatory inputs controlling SPI1 and Salmonella virulence. IMPORTANCESalmonella Typhimurium infections pose a significant public health concern, leading to illnesses that range from mild gastroenteritis to severe systemic infection. Infection is initiated and requires a complex apparatus that the bacterium uses to invade the intestinal epithelium. Understanding how Salmonella regulates this system is essential for addressing these infections effectively. Here we show that the small RNA (sRNA) InvR imposes negative feedback regulation on expression of the invasion system. This work underscores the role of sRNAs in Salmonellas complex regulatory network, offering new insights into how these molecules contribute to bacterial adaptation and pathogenesis.

microbiology↗

bioRxiv2024

Three-dimensional tissue strain measurement using a row-column array during biaxial testing of excised ventricular myocardium

ObjectiveTo implement and validate a 3D volume imaging sequence and 3D strain estimation procedure for enhanced biaxial mechanical testing of excised ventricular myocardium. MethodsOne right- and one left-ventricular excised porcine myocardium specimens were tested using dual-loading protocol quasi-static biaxial mechanical testing. During biaxial testing, volume ultrasound images were acquired using a row-column addressed array probe using a synthetic aperture imaging sequence. Volume ultrasound images were used to compute tissue deformation using 3D correlation-based ultrasound speckle tracking. Ultrasound-derived tissue strains were validated against repeated measurements using typical standard optical camera imaging of the surface deformation of the specimen. ResultsSynthetic aperture imaging with the RCA yielded artifact-free and uniform ultrasound speckle for high-fidely speckle tracking of tissue deformation. Ultrasound-derived tissue strain is in good agreement with ground-truth camera-derived surface strain measurements (root-mean-square error is 1.6% strain). ConclusionHigh-fidelity 3D strain measurement with ultrasound imaging is accurate and can enhance biomechanical insights from biaxial experimentation, especially in large tissues such as porcine and human myocardium where assumptions of plane stress and incompressibility may not apply.

bioengineering↗

bioRxiv2024

Therapeutic benefits of maintaining CDK4/6 inhibitors and incorporating CDK2 inhibitors beyond progression in breast cancer

CDK4/6 inhibitors (CDK4/6i) with endocrine therapy are standard for hormone receptor-positive (HR+) metastatic breast cancer. However, most patients eventually develop resistance and discontinue treatment, and there is currently no consensus on effective second-line strategies. Here, we demonstrate that maintaining CDK4/6i therapy, either alone or in combination with CDK2 inhibitors (CDK2i), slows the growth of drug-resistant HR+ models by prolonging G1 progression. Mechanistically, sustained CDK4/6 blockade in drug-resistant cells reduces E2F transcription and delays G1/S via a non-canonical, post-translational regulation of retinoblastoma protein (Rb). Durable suppression of both CDK2 activity and growth of drug-resistant cells requires co-administration of CDK2i with CDK4/6i. Moreover, cyclin E overexpression drives resistance to the combination of CDK4/6i and CDK2i. These findings elucidate how continued CDK4/6 blockade constrains resistant tumors and support clinical strategies that maintain CDK4/6i while selectively incorporating CDK2i to overcome resistance.

cancer biology↗

bioRxiv2024

Spatially mismatched cerebral blood flow and neuronal activity by intracortical microstimulation

Intracortial microstimulation (ICMS) is widely used in brain-machine interface for neuroprosthetics, particularly with aims of restoring lost sensory and motor functions. However, it remains poorly understood whether neuronal and blood flow responses by ICMS are spatially and temporally matched, as well as their underlying mechanism. Neurovascular coupling (NVC) is the process by which neuronal activity regulates blood flow in the brain to meet local metabolic demands. A hypothetically suboptimal NVC by ICMS may exacerbate the neuronal survival near electrode, contributing to neurodegeneration. In this study, we used wide-field imaging, laser speckle imaging and two-photon imaging in transgenic mice expressing calcium fluorescent indicators in neurons or vascular mural cells to examine this hypothesis. Our results showed blood flow responses are delayed at peak time and prolonged in duration compared with neuronal responses. By varying the stimulation amplitudes, we found that low stimulation intensity lower than 50A preserved NVC. In contrast, high intensity stimulation caused spatially mismatched NVC, i.e. in the adjacent range within 200[~]400 m from electrode tip, elicited blood flow compromises but neuronal activities increase. Ca2+ is the key regulator of contractile tone of vascular mural cells. Our results showed that Ca2+ sensitivity at vascular mural cells, i.e. vessel diameter change per unit of Ca2+ change, was decreased in the adjacent region of electrode, which partially explained the compromised and mismatched NVC, and which likely further lead to ischemia and neurodegeneration. This study offers a new insight into ICMS-associated neuronal and vascular physiology, and provides an important implication towards optimal design of ICMS: low intensities is more neuroprotective than high intensities by preserving NVC and preventing ischemia. Our discoveries pave the way for new research consideration and contribute to the development of more advanced brain-machine interface.

neuroscience↗

bioRxiv2024

Structural identification of the RY12 domain of RyR1 as an ADP sensor and the target of the malignant hyperthermia therapeutic dantrolene

Malignant hyperthermia (MH) is a life-threatening pharmacogenetic condition triggered by volatile anesthetics, which activate pathogenic RyR1 mutants. The small molecule therapeutic dantrolene has long been used to treat MH. However, the binding site and mechanism of dantrolene remain unclear. Here, we present cryo-EM structures of RyR1 bound to dantrolene and the MH trigger agent 4-chloro-m-cresol (4CmC), revealing the dantrolene and 4CmC binding sites in atomic detail. Dantrolene binds stacked with ATP or ADP in the RY12 domain at the corner of the receptor, inducing a conformational change in this domain which is allosterically coupled to pore closure. Functional analyses revealed that ATP or ADP was required for dantrolene inhibition, and a single point mutation that disrupts the peripheral ATP binding site abolished ATP/ADP-dependent dantrolene inhibition. Strikingly, in the absence of dantrolene, this site selectively binds two ADP molecules, suggesting a possible role in ATP/ADP ratio sensing.

biophysics↗

bioRxiv2024

RBP4 functions as an antagonistic ligand of orphan DR6

Death receptor (DR) is a unique transmembrane receptor mediating extrinsic factor-induced programmed cell death pathways. For most DRs, the regulatory mechanism has been revealed to involve agonistic death ligand (e.g., TRAIL, TNF-)-driven receptor clustering and activation, offering an in-depth understanding of the mechanistic basis for cell death regulation and therapeutic strategies. However, only death receptor 6 (DR6) remains orphan, and its molecular mechanism is poorly understood. Here, we identified retinol binding protein 4 (RBP4), a major vitamin-A carrier protein, as an antagonistic ligand of DR6. Single-molecule photobleaching and single-receptor tracking analyses revealed that RBP4 drives DR6 dimerization on the plasma membrane to prevent DR6 prodegenerative heterointeractions and consequent neurodegenerative processes. DR6 homodimerization predominantly depends on an extracellular intrinsically disordered region, allowing the agonistic propensity of increasing Ca2+ levels. Collectively, our study establishes the distinct molecular mechanism of DR6 and highlights the non-canonical role of RBP4 as a cell death regulator.

molecular biology↗

bioRxiv2024

Impact of anionic lipids on the energy landscape of conformational transition in anion exchanger 1 (AE1)

Anion Exchanger 1 (AE1) is an elevator-type membrane transporter that plays a key role in erythrocytes by mediating the exchange of chloride and bicarbonate ions across the membrane, thus participating in acid-base homeostasis. While previous studies have provided structural insights into AE1 and its substrate binding, the conformational transitions and the role of lipid interactions remain elusive. In this study, we utilized cryo-electron microscopy (cryo-EM) to resolve three high resolution structures of distinct conformational states of AE1: two inward-facing (IF1 and IF2) and one outward-facing (OF). Furthermore, uptake assay revealed the modulatory effect of phosphatidylinositol 4,5-bisphosphate (PIP2) lipids on AE1. Molecular dynamics (MD) simulations were conducted on these structures to capture anion binding and determine the anion binding sites in AE1. We then used a combination of advanced enhanced sampling techniques together with system-specific collective variables to study the OF{lrdoublearrow}IF transition in AE1 and provided refined pathways for the process in three different systems: apo, HCO3- -bound, and an AE1 system in which cryo-EM-determined interfacial PIP2 lipids had been removed. The refined pathways were then used to calculate the free energy of the OF{lrdoublearrow}IF transition in AE1 under different conditions. The energies show how substrate binding reduces the transition barrier and, therefore, facilitates the transport. Furthermore, they clearly capture the inhibitory effect of PIP2 lipids at the dimer interface. Furthermore, the simulation results provide a molecular mechanism for this inhibitory effect. These results provide a molecular-level understanding of the mechanistic basis for ion transport in AE1 and the regulatory role of PIP2 on its function.

biophysics↗

bioRxiv2024

A Novel GelMA-OrnMA Electrically Conductive Bioink for Developing Engineered Neural Tissues

Electrical conductivity is a crucial requirement of matrices for developing engineered neural tissues. A conductive matrix not only supports cell growth but also provides potential to stimulate the cells. However, electrically conductive matrices often require inclusion of synthetic polymers, nanomaterials and large number of ionic species. While enhancing electrical conductivity, often properties like transparency, mechanical stiffness and biocompatibility are compromised which can render the resulting matrices partially suitable for neural tissue engineering. Further, the byproducts of matrix degradation can have unforeseen influences. Therefore, electrically active matrices are required which provide a suitable combination of electrical conductivity, mechanical properties and biocompatibility. In this work, a novel biomaterial is described which results in optically transparent, electrically conductive and highly biocompatible matrices along with ability to match the native neural tissue stiffness. Using gelatin methacryloyl (GelMA) as base hydrogel, we covalently incorporated zwitterionic functional groups to obtain a composite matrix. The zwitterion moieties were derived from Ornithine by synthesizing ornithine methacryloyl (OrnMA) and blending with GelMA inks. Through systematic characterization we demonstrated the suitability of GelMA-OrnMA hydrogels in providing mechanical stiffness matching the native neural tissues, supporting proliferation of human astrocytes in 3D culture and electrical conductivity in the range required for electrically active cell types like astrocytes. Owing to their electrical conductivity, these matrices also influenced the growth of astrocytes which manifested as significant changes in their organization and morphology. These findings suggest that GelMA-OrnMA has immense potential as a bioink for developing engineered neural tissues.

bioengineering↗