tbuckley/cabot-search huggingface dataset:
The Association between Exposure to Fine Particulate Matter and MRI-Assessed Locus Coeruleus Integrity in the Vietnam Era Twin Study of Aging (VETSA)
Authors: Olivia K. Puckett, Christine Fennema-Notestine, Donald J. Hagler, Meredith N. Braskie, Jiu-Chiuan Chen, Caleb E. Finch, Joel D. Kaufman, Andrew J. Petkus, Chandra A. Reynolds, Lauren E. Salminen, Paul M. Thompson, Xinhui Wang, William S. Kremen, Carol E. Franz, Jeremy A. Elman
Journal: Environmental Health Perspectives (2024)

Increased exposure to ambient air pollution, especially fine particulate matter
Association between Personal Abiotic Airborne Exposures and Body Composition Changes among Healthy Adults (60–69 Years Old): A Combined Exposome-Wide and Lipidome Mediation Approach from the China BAPE Study
Authors: Peijie Sun, Xiaojie Guo, Enmin Ding, Chenfeng Li, Huimin Ren, Yibo Xu, Jiankun Qian, Fuchang Deng, Wanying Shi, Haoran Dong, Elizabeth Z. Lin, Pengfei Guo, Jianlong Fang, Qian Zhang, Wenhua Zhao, Shilu Tong, Xiaobo Lu, Krystal J. Godri Pollitt, Xiaoming Shi, Song Tang
Journal: Environmental Health Perspectives (2024)

Evidence suggested that abiotic airborne exposures may be associated with changes in body composition. However, more evidence is needed to identify key pollutants linked to adverse health effects and their underlying biomolecular mechanisms, particularly in sensitive older adults.
Fc-enhanced anti-CTLA-4, anti-PD-1, doxorubicin, and ultrasound-mediated blood–brain barrier opening: A novel combinatorial immunotherapy regimen for gliomas
Authors: Kwang-Soo Kim, Karl Habashy, Andrew Gould, Junfei Zhao, Hinda Najem, Christina Amidei, Ruth Saganty, Víctor A Arrieta, Crismita Dmello, Li Chen, Daniel Y Zhang, Brandyn Castro, Leah Billingham, Daniel Levey, Olivia Huber, Marilyn Marques, David A Savitsky, Benjamin M Morin, Miguel Muzzio, Michael Canney, Craig Horbinski, Peng Zhang, Jason Miska, Surya Padney, Bin Zhang, Raul Rabadan, Joanna J Phillips, Nicholas Butowski, Amy B Heimberger, Jian Hu, Roger Stupp, Dhan Chand, Catalina Lee-Chang, Adam M Sonabend
Journal: Neuro-Oncology (2024)

Abstract Background Glioblastoma is a highly aggressive brain cancer that is resistant to conventional immunotherapy strategies. Botensilimab, an Fc-enhanced anti-CTLA-4 antibody (FcE-aCTLA-4), has shown durable activity in “cold” and immunotherapy-refractory cancers. Methods We evaluated the efficacy and immune microenvironment phenotype of a mouse analogue of FcE-aCTLA-4 in treatment-refractory preclinical models of glioblastoma, both as a monotherapy and in combination with doxorubicin delivered via low-intensity pulsed ultrasound and microbubbles (LIPU/MB). Additionally, we studied 4 glioblastoma patients treated with doxorubicin, anti-PD-1 with concomitant LIPU/MB to investigate the novel effect of doxorubicin modulating FcγR expressions in tumor-associated macrophages/microglia (TAMs). Results FcE-aCTLA-4 demonstrated high-affinity binding to FcγRIV, the mouse ortholog of human FcγRIIIA, which was highly expressed in TAMs in human glioblastoma, most robustly at diagnosis. Notably, FcE-aCTLA-4-mediated selective depletion of intratumoral regulatory T cells (Tregs) via TAM-mediated phagocytosis, while sparing peripheral Tregs. Doxorubicin, a chemotherapeutic drug with immunomodulatory functions, was found to upregulate FcγRIIIA on TAMs in glioblastoma patients who received doxorubicin and anti-PD-1 with concomitant LIPU/MB. In murine models of immunotherapy-resistant gliomas, a combinatorial regimen of FcE-aCTLA-4, anti-PD-1, and doxorubicin with LIPU/MB, achieved a 90% cure rate, that was associated robust infiltration of activated CD8+ T cells and establishment of immunological memory as evidenced by rejection upon tumor rechallenge. Conclusions Our findings demonstrate that FcE-aCTLA-4 promotes robust immunomodulatory and anti-tumor effects in murine gliomas and is significantly enhanced when combined with anti-PD-1, doxorubicin, and LIPU/MB. We are currently investigating this combinatory strategy in a clinical trial (clinicaltrials.gov NCT05864534).
A Biocompatible Hydrogen‐Bonded Organic Framework (HOF) as Sonosensitizer and Artificial Enzyme for In‐Depth Treatment of Alzheimer's Disease
Authors: Junlin Ya, Haochen Zhang, Geng Qin, Congcong Huang, Chuanqi Zhao, Jinsong Ren, Xiaogang Qu
Journal: Advanced Healthcare Materials (2024)

Current phototherapeutic approaches for Alzheimer's disease (AD) exhibit restricted clinical outcomes due to the limited physical penetration and comprised brain microenvironment of noninvasive nanomedicine. Herein, a hydrogen-bonded organic framework (HOF) based sonosensitizer is designed and synthesized. Mn-TCPP, a planar molecule where Mn
Computational modelling of cardiovascular pathophysiology to risk stratify commercial spaceflight
Authors: Paul D Morris, Ryan A Anderton, Karina Marshall-Goebel, Joseph K Britton, Stuart M C Lee, Nicolas P Smith, Frans N van de Vosse, Karen M Ong, Tom A Newman, Daniel J Taylor, Tim Chico, Julian P Gunn, Andrew J Narracott, D Rod Hose, Ian Halliday
Journal: Nature Reviews Cardiology (2024)
Imaging Three-Dimensional Airway Morphology in Congenital Pulmonary Airway Malformation Using Hierarchical Phase Contrast Tomography
Authors: Stijn E. Verleden, Theresa Urban, Joseph Brunet, Wen Wen, Dieter J. E. Peeters, Therese S. Lapperre, Claire Walsh, Paul Tafforeau, Hector Dejea, Danny Jonigk, Maximilian Ackermann, Kim Van Hoorenbeeck, Peter D. Lee, Joseph Jacob, Jeroen M. H. Hendriks
Journal: American Journal of Respiratory and Critical Care Medicine (2024)

"Imaging Three-Dimensional Airway Morphology in Congenital Pulmonary Airway Malformation Using Hierarchical Phase Contrast Tomography." American Journal of Respiratory and Critical Care Medicine, 0(ja), pp.
N6-methyladenosine writer METTL16-mediated alternative splicing and translation control are essential for murine spermatogenesis
Authors: Qian Ma, Yiqian Gui, Xixiang Ma, Bingqian Zhang, Wenjing Xiong, Shiyu Yang, Congcong Cao, Shaomei Mo, Ge Shu, Jing Ye, Kuan Liu, Xiaoli Wang, Yaoting Gui, Fengli Wang, Shuiqiao Yuan
Journal: Genome biology (2024)

The mitosis-to-meiosis switch during spermatogenesis requires dynamic changes in gene expression. However, the regulation of meiotic transcriptional and post-transcriptional machinery during this transition remains elusive.
Age-dependent heterogeneity in the antigenic effects of mutations to influenza hemagglutinin
Authors: Frances C. Welsh, Rachel T. Eguia, Juhye M. Lee, Hugh K. Haddox, Jared Galloway, Nguyen Van Vinh Chau, Andrea N. Loes, John Huddleston, Timothy C. Yu, Mai Quynh Le, Nguyen T.D. Nhat, Nguyen Thi Le Thanh, Alexander L. Greninger, Helen Y. Chu, Janet A. Englund, Trevor Bedford, Frederick A. Matsen, Maciej F. Boni, Jesse D. Bloom
Journal: Cell Host & Microbe (2024)

Human influenza virus evolves to escape neutralization by polyclonal antibodies. However, we have a limited understanding of how the antigenic effects of viral mutations vary across the human population and how this heterogeneity affects virus evolution. Here, we use deep mutational scanning to map how mutations to the hemagglutinin (HA) proteins of two H3N2 strains, A/Hong Kong/45/2019 and A/Perth/16/2009, affect neutralization by serum from individuals of a variety of ages. The effects of HA mutations on serum neutralization differ across age groups in ways that can be partially rationalized in terms of exposure histories. Mutations that were fixed in influenza variants after 2020 cause greater escape from sera from younger individuals compared with adults. Overall, these results demonstrate that influenza faces distinct antigenic selection regimes from different age groups and suggest approaches to understand how this heterogeneous selection shapes viral evolution.
Ketamine ameliorates post-traumatic social avoidance by erasing the traumatic memory encoded in VTA-innervated BLA engram cells
Authors: Ming Li, Xue-Ke Yang, Jian Yang, Tong-Xia Li, Chi Cui, Xiang Peng, Jie Lei, Kun Ren, Jie Ming, Pei Zhang, Bo Tian
Journal: Neuron (2024)
Polymer nanotherapeutics: A promising approach toward microglial inhibition in neurodegenerative diseases
Authors: Sanaz Keshavarz Shahbaz, Khadije Koushki, Samaneh Keshavarz Hedayati, Alice P. McCloskey, Prashant Kesharwani, Yazdan Naderi, Amirhossein Sahebkar
Journal: Medicinal Research Reviews (2024)

Nanoparticles (NPs) that target multiple transport mechanisms facilitate targeted delivery of active therapeutic agents to the central nervous system (CNS) and improve therapeutic transport and efficacy across the blood-brain barrier (BBB). CNS nanotherapeutics mostly target neurons and endothelial cells, however, microglial immune cells are the first line of defense against neuronal damage and brain infections. Through triggering release of inflammatory cytokines, chemokines and proteases, microglia can however precipitate neurological damage-a significant factor in neurodegenerative diseases. Thus, microglial inhibitory agents are attracting much attention among those researching and developing novel treatments for neurodegenerative disorders. The most established inhibitors of microglia investigated to date are resveratrol, curcumin, quercetin, and minocycline. Thus, there is great interest in developing novel agents that can bypass or easily cross the BBB. One such approach is the use of modified-nanocarriers as, or for, delivery of, therapeutic agents to the brain and wider CNS. For microglial inhibition, polymeric NPs are the preferred vehicles for choice. Here, we summarize the immunologic and neuroinflammatory role of microglia, established microglia inhibitor agents, challenges of CNS drug delivery, and the nanotherapeutics explored for microglia inhibition to date. We also discuss applications of the currently considered "most useful" polymeric NPs for microglial-inhibitor drug delivery in CNS-related diseases.
Reporting guidelines for precision medicine research of clinical relevance: the BePRECISE checklist
Authors: Siew S Lim, Zhila Semnani-Azad, Mario L Morieri, Ashley H Ng, Abrar Ahmad, Hugo Fitipaldi, Jacqueline Boyle, Christian Collin, John M Dennis, Claudia Langenberg, Ruth J F Loos, Melinda Morrison, Michele Ramsay, Arun J Sanyal, Naveed Sattar, Marie-France Hivert, Maria F Gomez, Jordi Merino, Deirdre K Tobias, Michael I Trenell, Stephen S Rich, Jennifer L Sargent, Paul W Franks
Journal: Nature Medicine (2024)
Biomimetic Porous Ti6Al4V Implants: A Novel Interbody Fusion Cage via Gel‐Casting Technique to Promote Spine Fusion
Authors: Xinyu Dou, Xiao Liu, Yu Liu, Linbang Wang, Fei Jia, Fei Shen, Yunlong Ma, Chen Liang, Gong Jin, Meina Wang, Zhongjun Liu, Bin Zhu, Xiaoguang Liu
Journal: Advanced Healthcare Materials (2024)

Abstract An interbody fusion cage (Cage) is crucial in spinal decompression and fusion procedures for restoring normal vertebral curvature and rebuilding spinal stability. Currently, these Cages suffer from issues related to mismatched elastic modulus and insufficient bone integration capability. Therefore, a gel‐casting technique is utilized to fabricate a biomimetic porous titanium alloy material from Ti6Al4V powder. The biomimetic porous Ti6Al4V is compared with polyetheretherketone (PEEK) and 3D‐printed Ti6Al4V materials and their respective Cages. Systematic validation is performed through mechanical testing, in vitro cell, in vivo rabbit bone defect implantation, and ovine anterior cervical discectomy and fusion experiments to evaluate the mechanical and biological performance of the materials. Although all three materials demonstrate good biocompatibility and osseointegration properties, the biomimetic porous Ti6Al4V, with its excellent mechanical properties and a structure closely resembling bone trabecular tissue, exhibited superior bone ingrowth and osseointegration performance. Compared to the PEEK and 3D‐printed Ti6Al4V Cages, the biomimetic porous Ti6Al4V Cage outperforms in terms of intervertebral fusion performance, achieving excellent intervertebral fusion without the need for bone grafting, thereby enhancing cervical vertebra stability. This biomimetic porous Ti6Al4V Cage offers cost‐effectiveness, presenting significant potential for clinical applications in spinal surgery.
Hydrogen sulfide produced by the gut microbiota impairs host metabolism via reducing GLP-1 levels in male mice
Authors: Qingqing Qi, Huijie Zhang, Zheyu Jin, Changchun Wang, Mengyu Xia, Bandy Chen, Bomin Lv, Ludmila Peres Diaz, Xue Li, Ru Feng, Mengdi Qiu, Yang Li, David Meseguer, Xiaojiao Zheng, Wei Wang, Wei Song, He Huang, Hao Wu, Lei Chen, Marc Schneeberger, Xiaofei Yu
Journal: Nature Metabolism (2024)
Higher-order interactions between hippocampal CA1 neurons are disrupted in amnestic mice
Authors: Chen Yan, Valentina Mercaldo, Alexander D Jacob, Emily Kramer, Andrew Mocle, Adam I Ramsaran, Lina Tran, Asim J Rashid, Sungmo Park, Nathan Insel, A David Redish, Paul W Frankland, Sheena A Josselyn
Journal: Nature Neuroscience (2024)
Nanomaterial‐Mediated Delivery of MLKL Plasmids Sensitizes Tumors to Immunotherapy and Reduces Metastases
Authors: Tianjiao Chu, Christy Maksoudian, Stefania Pedrotti, Mukaddes Izci, Irati Perez Gilabert, Xanthippi Koutsoumpou, Ara Sargsian, Hermon Girmatsion, Filipa Roque Goncalves, Colinda LGJ Scheele, Bella B. Manshian, Stefaan J. Soenen
Journal: Advanced Healthcare Materials (2024)

Abstract Cancer immunotherapy has emerged as a promising approach for the induction of an antitumor response. While immunotherapy response rates are very high in some cancers, the efficacy against solid tumors remains limited caused by the presence of an immunosuppressive tumor microenvironment. Induction of immunogenic cell death (ICD) in the tumor can be used to boost immunotherapy response in solid cancers by eliciting the release of immune‐stimulatory components. However, the delivery of components inducing ICD to tumor sites remains a challenge. Here, a novel delivery method is described for antitumor therapy based on MLKL (Mixed Lineage Kinase Domain‐Like), a key mediator of necroptosis and inducer of ICD. A novel highly branched poly (β‐amino ester)s (HPAEs) system is designed to efficiently deliver MLKL plasmid DNA to the tumor with consequent enhancement of immune antigen presentation for T cell responses in vitro, and improved antitumor response and prolonged survival in tumor‐bearing mice. Combination of the therapy with anti‐PD‐1 treatment revealed significant changes in the composition of the tumor microenvironment, including increased infiltration of CD8 + T cells and tumor‐associated lymphocytes. Overall, the HPAEs delivery system can enhance MLKL‐based cancer immunotherapy and promote antitumor immune responses, providing a potential treatment to boost cancer immunotherapies.
Dual‐Functional Nanodroplet for Tumor Vasculature Ultrasound Imaging and Tumor Immunosuppressive Microenvironment Remodeling
Authors: Yuan Liang, Siyan Zhang, Dingyi Wang, Panpan Ji, Bin Zhang, Pengying Wu, Lantian Wang, Zhaoyou Liu, Jia Wang, Yunyou Duan, Lijun Yuan
Journal: Advanced Healthcare Materials (2024)

Abstract Accurately evaluating tumor neoangiogenesis and conducting precise interventions toward an immune‐favorable microenvironment are of significant clinical importance. In this study, a novel nanodroplet termed as the nanodroplet‐based ultrasound contrast agent and therapeutic (NDs UCA/Tx ) is designed for ultrasound imaging and precise interventions of tumor neoangiogenesis. Briefly, the NDs UCA/Tx shell is constructed from an engineered CMs containing the tumor antigen, vascular endothelial growth factor receptor 1 (VEGFR1) extracellular domain 2–3, and CD93 ligand multimerin 2. The core is composed of perfluorohexane and the immune adjuvant R848. After injection, NDs UCA/Tx is found to be enriched in the tumor vasculature with high expression of CD93. When triggered by ultrasound, the perfluorohexane in NDs UCA/Tx underwent acoustic droplet vaporization and generated an enhanced ultrasound signal. Some microbubbles exploded and the resultant debris (with tumor antigen and R848) together with the adsorbed VEGF are taken up by nearby cells. This cleared the local VEGF for vascular normalization, and also served as a vaccine to activate the immune response. Using a syngeneic mouse model, the satisfactory performance of NDs UCA/Tx in tumor vasculature imaging and immune activation is confirmed. Thus, a multifunctional NDs UCA/Tx is successfully developed for molecular imaging of tumor neoangiogenesis and precise remodeling of the tumor microenvironment.
Integrated image-based deep learning and language models for primary diabetes care
Authors: Jiajia Li, Zhouyu Guan, Jing Wang, Carol Y. Cheung, Yingfeng Zheng, Lee-Ling Lim, Cynthia Ciwei Lim, Paisan Ruamviboonsuk, Rajiv Raman, Leonor Corsino, Justin B. Echouffo-Tcheugui, Andrea O. Y. Luk, Li Jia Chen, Xiaodong Sun, Haslina Hamzah, Qiang Wu, Xiangning Wang, Ruhan Liu, Ya Xing Wang, Tingli Chen, Xiao Zhang, Xiaolong Yang, Jun Yin, Jing Wan, Wei Du, Ten Cheer Quek, Jocelyn Hui Lin Goh, Dawei Yang, Xiaoyan Hu, Truong X. Nguyen, Simon K. H. Szeto, Peranut Chotcomwongse, Rachid Malek, Nargiza Normatova, Nilufar Ibragimova, Ramyaa Srinivasan, Pingting Zhong, Wenyong Huang, Chenxin Deng, Lei Ruan, Cuntai Zhang, Chenxi Zhang, Yan Zhou, Chan Wu, Rongping Dai, Sky Wei Chee Koh, Adina Abdullah, Nicholas Ken Yoong Hee, Hong Chang Tan, Zhong Hong Liew, Carolyn Shan-Yeu Tien, Shih Ling Kao, Amanda Yuan Ling Lim, Shao Feng Mok, Lina Sun, Jing Gu, Liang Wu, Tingyao Li, Di Cheng, Zheyuan Wang, Yiming Qin, Ling Dai, Ziyao Meng, Jia Shu, Yuwei Lu, Nan Jiang, Tingting Hu, Shan Huang, Gengyou Huang, Shujie Yu, Dan Liu, Weizhi Ma, Minyi Guo, Xinping Guan, Xiaokang Yang, Covadonga Bascaran, Charles R. Cleland, Yuqian Bao, Elif I. Ekinci, Alicia Jenkins, Juliana C. N. Chan, Yong Mong Bee, Sobha Sivaprasad, Jonathan E. Shaw, Rafael Simó, Pearse A. Keane, Ching-Yu Cheng, Gavin Siew Wei Tan, Weiping Jia, Yih-Chung Tham, Huating Li, Bin Sheng, Tien Yin Wong
Journal: Nature Medicine (2024)

Abstract Primary diabetes care and diabetic retinopathy (DR) screening persist as major public health challenges due to a shortage of trained primary care physicians (PCPs), particularly in low-resource settings. Here, to bridge the gaps, we developed an integrated image–language system (DeepDR-LLM), combining a large language model (LLM module) and image-based deep learning (DeepDR-Transformer), to provide individualized diabetes management recommendations to PCPs. In a retrospective evaluation, the LLM module demonstrated comparable performance to PCPs and endocrinology residents when tested in English and outperformed PCPs and had comparable performance to endocrinology residents in Chinese. For identifying referable DR, the average PCP’s accuracy was 81.0% unassisted and 92.3% assisted by DeepDR-Transformer. Furthermore, we performed a single-center real-world prospective study, deploying DeepDR-LLM. We compared diabetes management adherence of patients under the unassisted PCP arm ( n = 397) with those under the PCP+DeepDR-LLM arm ( n = 372). Patients with newly diagnosed diabetes in the PCP+DeepDR-LLM arm showed better self-management behaviors throughout follow-up ( P &lt; 0.05). For patients with referral DR, those in the PCP+DeepDR-LLM arm were more likely to adhere to DR referrals ( P &lt; 0.01). Additionally, DeepDR-LLM deployment improved the quality and empathy level of management recommendations. Given its multifaceted performance, DeepDR-LLM holds promise as a digital solution for enhancing primary diabetes care and DR screening.
Sleep patterns and risk of chronic disease as measured by long-term monitoring with commercial wearable devices in the All of Us Research Program
Authors: Neil S. Zheng, Jeffrey Annis, Hiral Master, Lide Han, Karla Gleichauf, Jack H. Ching, Melody Nasser, Peyton Coleman, Stacy Desine, Douglas M. Ruderfer, John Hernandez, Logan D. Schneider, Evan L. Brittain
Journal: Nature Medicine (2024)

Abstract Poor sleep health is associated with increased all-cause mortality and incidence of many chronic conditions. Previous studies have relied on cross-sectional and self-reported survey data or polysomnograms, which have limitations with respect to data granularity, sample size and longitudinal information. Here, using objectively measured, longitudinal sleep data from commercial wearable devices linked to electronic health record data from the All of Us Research Program, we show that sleep patterns, including sleep stages, duration and regularity, are associated with chronic disease incidence. Of the 6,785 participants included in this study, 71% were female, 84% self-identified as white and 71% had a college degree; the median age was 50.2 years (interquartile range = 35.7, 61.5) and the median sleep monitoring period was 4.5 years (2.5, 6.5). We found that rapid eye movement sleep and deep sleep were inversely associated with the odds of incident atrial fibrillation and that increased sleep irregularity was associated with increased odds of incident obesity, hyperlipidemia, hypertension, major depressive disorder and generalized anxiety disorder. Moreover, J-shaped associations were observed between average daily sleep duration and hypertension, major depressive disorder and generalized anxiety disorder. These findings show that sleep stages, duration and regularity are all important factors associated with chronic disease development and may inform evidence-based recommendations on healthy sleeping habits.
Lipid-based nanosystems: the next generation of cancer immune therapy
Authors: Ziyun Cheng, Seth-Frerich Fobian, Elena Gurrieri, Mohamadreza Amin, Vito Giuseppe D’Agostino, Mojtaba Falahati, Sara Zalba, Reno Debets, María J. Garrido, Mesha Saeed, Ann L. B. Seynhaeve, Hayri E. Balcioglu, Timo L. M. ten Hagen
Journal: Journal of Hematology & Oncology (2024)

Abstract Immunotherapy has become an important part of the oncotherapy arsenal. Its applicability in various cancer types is impressive, as well as its use of endogenous mechanisms to achieve desired ends. However, off-target or on-target-off-tumor toxicity, limited activity, lack of control in combination treatments and, especially for solid tumors, low local accumulation, have collectively limited clinical use thereof. These limitations are partially alleviated by delivery systems. Lipid-based nanoparticles (NPs) have emerged as revolutionary carriers due to favorable physicochemical characteristics, with specific applications and strengths particularly useful in immunotherapeutic agent delivery. The aim of this review is to highlight the challenges faced by immunotherapy and how lipid-based NPs have been, and may be further utilized to address such challenges. We discuss recent fundamental and clinical applications of NPs in a range of areas and provide a detailed discussion of the main obstacles in immune checkpoint inhibition therapies, adoptive cellular therapies, and cytokine therapies. We highlight how lipid-based nanosystems could address these through either delivery, direct modulation of the immune system, or targeting of the immunosuppressive tumor microenvironment. We explore advanced and emerging liposomal and lipid nanoparticle (LNP) systems for nucleic acid delivery, intrinsic and extrinsic stimulus-responsive formulations, and biomimetic lipid-based nanosystems in immunotherapy. Finally, we discuss the key challenges relating to the clinical use of lipid-based NP immunotherapies, suggesting future research directions for the near term to realize the potential of these innovative lipid-based nanosystems, as they become the crucial steppingstone towards the necessary enhancement of the efficacy of immunotherapy. Graphical abstract
GPR34 senses demyelination to promote neuroinflammation and pathologies
Authors: Bolong Lin, Yubo Zhou, Zonghui Huang, Ming Ma, Minghui Qi, Zhongjun Jiang, Guoyang Li, Yueli Xu, Jiaxian Yan, Di Wang, Xiaqiong Wang, Wei Jiang, Rongbin Zhou
Journal: Cellular and Molecular Immunology (2024)