tbuckley/cabot-search huggingface dataset:
Piezoelectric energy harvesting from thorax vibration of freely flying bees
Authors: Zhiyun Ma, Jieliang Zhao, Li Yu, Lulu Liang, Zhong Liu, Yongxia Gu, Jianing Wu, Wenzhong Wang, Shaoze Yan
Journal: Cyborg and Bionic Systems (2024)

Insect cyborgs have been proposed for application in future rescue operations, environmental monitoring, and hazardous area surveys. An energy harvester for insect carrying is critical to the long-lasting life of insect cyborgs, and designing an energy harvester with superior energy output within the load capacity of tiny flying insects is very important. In this study, we measured the thorax vibration frequency of bees during loaded flight conditions. We propose a piezoelectric vibration energy harvester for bees that has a mass of only 46 mg and can achieve maximum effective output voltage and energy density of 5.66 V and 1.27 mW/cm3, respectively. The harvester has no marked effect on the bees' normal movement, which is verified by experiments of mounting the harvester on bees. These results indicate that the proposed harvester is expected to realize a self-power supply of tiny insect cyborgs.
Magnetic soft-robots with Cy5: an imaging technique for intraoperative navigation of gastric lesion
Authors: Lifeng He, Yu Pan, Wei Jin, Rong Tan, Yanan Xue, Danying Sun, Jingyu Zhang, Pingyu Xiang, Qin Fang, Yue Wang, Rong Xiong, Haojian Lu, Songmei Lou
Journal: Cyborg and Bionic Systems (2024)

Locating tumors during laparoscopic surgery for early gastric cancers poses an important challenge because they lack involvement with the serosal layer and remain invisible within the peritoneal cavity. To address this issue, various techniques such as preoperative dye injection and magnetic clip detection systems have been introduced to aid in intraoperative tumor localization. However, these existing techniques are often intricate and lack intuition and endurance. In this study, we propose a novel approach utilizing fluorescent soft robots to accurately locate tumors within the stomach. The methodology involved placing a metal clip at the tumor site, followed by administering several soft robots labeled with Cy5. These soft robots were designed to autonomously converge around the metal clip. To validate their efficacy, we conducted animal experiments by implanting clips into the stomachs of rats and subsequently administering capsules containing the soft robots. By detecting the resulting fluorescence, we successfully identified the location of the clips within the stomach. Our findings indicate that these soft robots hold great promise as a viable alternative for localizing gastric lesions during laparoscopic surgery, which has better persistence and intuitiveness than other markup methods. Their implementation could significantly enhance the accuracy and efficiency of tumor identification in a technologically advanced and clinically accessible manner.
Challenges and opportunities of acquiring cortical recordings for chronic adaptive deep brain stimulation
Authors: Jeffrey Herron, Aura Kullmann, Timothy Denison, Wayne K. Goodman, Aysegul Gunduz, Wolf-Julian Neumann, Nicole R. Provenza, Maryam M. Shanechi, Sameer A. Sheth, Philip A. Starr, Alik S. Widge
Journal: Nature Biomedical Engineering (2024)
Considering the interconnected nature of social identities in neuroimaging research
Authors: Elvisha Dhamala, Jocelyn A. Ricard, Lucina Q. Uddin, Liisa A. M. Galea, Emily G. Jacobs, Sarah W. Yip, B. T. Thomas Yeo, M. Mallar Chakravarty, Avram J. Holmes
Journal: Nature Neuroscience (2024)
Generation of a selective senolytic platform using a micelle-encapsulated Sudan Black B conjugated analog
Authors: Sophia Magkouta, Dimitris Veroutis, Angelos Papaspyropoulos, Maria Georgiou, Nikolaos Lougiakis, Natassa Pippa, Sophia Havaki, Anastasia Palaiologou, Dimitris-Foivos Thanos, Konstantinos Kambas, Nefeli Lagopati, Nikos Boukos, Nicole Pouli, Panagiotis Marakos, Athanassios Kotsinas, Dimitris Thanos, Konstantinos Evangelou, Fotios Sampaziotis, Constantin Tamvakopoulos, Stergios Pispas, Russell Petty, Nicholas Kotopoulos, Vassilis G. Gorgoulis
Journal: Nature Aging (2024)

The emerging field of senolytics is centered on eliminating senescent cells to block their contribution to the progression of age-related diseases, including cancer, and to facilitate healthy aging. Enhancing the selectivity of senolytic treatments toward senescent cells stands to reduce the adverse effects associated with existing senolytic interventions. Taking advantage of lipofuscin accumulation in senescent cells, we describe here the development of a highly efficient senolytic platform consisting of a lipofuscin-binding domain scaffold, which can be conjugated with a senolytic drug via an ester bond. As a proof of concept, we present the generation of GL392, a senolytic compound that carries a dasatinib senolytic moiety. Encapsulation of the GL392 compound in a micelle nanocarrier (termed mGL392) allows for both in vitro and in vivo (in mice) selective elimination of senescent cells via targeted release of the senolytic agent with minimal systemic toxicity. Our findings suggest that this platform could be used to enhance targeting of senotherapeutics toward senescent cells. Exploiting the selective accumulation of lipofuscin in senescent cells, the authors developed a targeted senolytic platform. As proof of concept, they show that selective delivery of dasatinib elicits senolysis with minimal toxicity, in vitro, in organoids and in mice.
A ganglioside-based immune checkpoint enables senescent cells to evade immunosurveillance during aging
Authors: Charlène Iltis, Iryna Moskalevska, Antoine Debiesse, Laetitia Seguin, Christina Fissoun, Ludovic Cervera, Lyvia Moudombi, Maude Ardin, Anthony Ferrari, Coline Eliott, Didier Pisani, Alexandre Ottaviani, Manon Bourinet, Carmelo Luci, Philippe Gual, Gabriela Makulyte, David Bernard, Manon Durandy, Lou C. Duret, Tynhinane Hamidouche, Sarah Kunz, Olivier Croce, Clément Delannoy, Yann Guérardel, Fabrice Allain, Paul Hofman, Delphine Benarroch-Popivker, Laurence Bianchini, Berengère Dadone-Montaudie, Estelle Cosson, Julien Guglielmi, Thierry Pourcher, Véronique M. Braud, Marina Shkreli, Yves-Marie Pers, Christian Jorgensen, Jean-Marc Brondello, Chloé C. Féral, Marie-Cécile Michallet, Eric Gilson, Julien Cherfils-Vicini
Journal: Nature Aging (2024)

Although senescent cells can be eliminated by the immune system, they tend to accumulate with age in various tissues. Here we show that senescent cells can evade immune clearance by natural killer (NK) cells by upregulating the expression of the disialylated ganglioside GD3 at their surface. The increased level of GD3 expression on senescent cells that naturally occurs upon aging in liver, lung, kidney or bones leads to a strong suppression of NK-cell-mediated immunosurveillance. In mice, we found that targeting GD3+ senescent cells with anti-GD3 immunotherapy attenuated the development of experimentally induced or age-related lung and liver fibrosis and age-related bone remodeling. These results demonstrate that GD3 upregulation confers immune privilege to senescent cells. We propose that GD3 acts as a senescence immune checkpoint (SIC) that allows senescent cells to escape immunosurveillance and to trigger immune anergy during aging.
Structural inequality linked to brain volume and network dynamics in aging and dementia across the Americas
Authors: Agustina Legaz, Florencia Altschuler, Raul Gonzalez-Gomez, Hernán Hernández, Sandra Baez, Joaquín Migeot, Sol Fittipaldi, Vicente Medel, Marcelo Adrián Maito, María E. Godoy, Sebastián Moguilner, Josephine Cruzat, Carlos Coronel-Oliveros, Enzo Tagliazuchi, Hernando Santamaria Garcia, Francesca R. Farina, Pablo Reyes, Shireen Javandel, Adolfo M. García, Álvaro Deleglise, Diana L. Matallana, José Alberto Avila-Funes, Andrea Slachevsky, María I. Behrens, Nilton Custodio, Catalina Trujillo-Llano, Juan F. Cardona, Pablo Barttfeld, Ignacio L. Brusco, Martín A. Bruno, Ana L. Sosa Ortiz, Stefanie D. Pina-Escudero, Leonel T. Takada, Elisa de Paula França Resende, Katherine L. Possin, Maira Okada de Oliveira, Kun Hu, Francisco Lopera, Brian Lawlor, Victor Valcour, Jennifer S. Yokoyama, Bruce Miller, Agustin Ibañez
Journal: Nature Aging (2024)
A global analysis of adaptation to societal aging across low-, middle- and high-income countries using the Global Aging Society Index
Authors: Cynthia Chen, Julian Lim, Jemima Koh, John Beard, John W. Rowe, John Rowe, Toni Antonucci, Lisa Berkman, Axel Börsch-Supan, Laura Carstensen, Dana Goldman, Linda Fried, Frank Furstenberg, James Jackson, Martin Kohli, Jay Olshansky, David Rehkopf, John Rother, Julie Zissimopoulos
Journal: Nature Aging (2024)

Abstract We have previously presented a multidimensional Aging Society Index, a weighted summation of five domains central to successful adaptation to societal aging: well-being, productivity and engagement, equity, cohesion and security, as a tool to assess countries’ adaptation to demographic transformation. As the index was based on data from developed countries and some of the individual metrics or weightings may not be well suited for application to low- and middle-income countries, we here present the scores on a modified index (Global Aging Society Index) on 143 countries distributed across the span of economic development. Only 5 out of 143 (3.5%) countries had higher scores for women than men. Countries with the most notable gender differences were primarily low-income countries. The multidimensional index permits cross-national comparisons and may facilitate the identification of targets for developing policies and programs to enhance the likelihood that older persons will age successfully.
Potent prophylactic cancer vaccines harnessing surface antigens shared by tumour cells and induced pluripotent stem cells
Authors: Nan Li, Hao Qin, Fei Zhu, Hao Ding, Yang Chen, Yixuan Lin, Ronghui Deng, Tianyu Ma, Yuanyuan Lv, Changhao Xiong, Rong Li, Yaohua Wei, Jian Shi, Hanqing Chen, Yuliang Zhao, Guangbiao Zhou, Hua Guo, Mengyao Lv, Yongfang Lin, Bing Han, Guangjun Nie, Ruifang Zhao
Journal: Nature Biomedical Engineering (2024)
Assessment and management of frailty in individuals living with dementia: expert recommendations for clinical practice
Authors: Miguel Germán Borda, Francesco Landi, Tommy Cederholm, Luis Carlos Venegas-Sanabria, Gustavo Duque, Hidetaka Wakabayashi, George E Barreto, Isabel Rodriguez-Sanchez, Marco Canevelli, Carlos Cano-Gutierrez, Mario Ulises Pérez-Zepeda, Lindsay Wallace, Kenneth Rockwood, Mario Salas-Carrillo, Martha Gjestsen, Ingelin Testad, Clive Ballard, Dag Aarsland
Journal: The Lancet Healthy Longevity (2024)
Fabrication and functional validation of a hybrid biomimetic nanovaccine (HBNV) against Kit-mutant melanoma
Authors: Kishwor Poudel, Zhenyu Ji, Ching-Ni Njauw, Anpuchchelvi Rajadurai, Brijesh Bhayana, Ryan J Sullivan, Jong Oh Kim, Hensin Tsao
Journal: Bioactive Materials (2024)
Injectable bioresponsive bone adhesive hydrogels inhibit NLRP3 inflammasome on demand to accelerate diabetic fracture healing
Authors: Xudan Xing, Zunlei Gong, Chuke Chen, Yeyin Lin, Peiyi Liu, Tianhua Xiao, Hui Yu, Yuanxin Li, Yucong Lin, Guoxin Tan, Chengyun Ning, Zenghui Wu, Le Wang, Lei Zhou
Journal: Biomaterials (2024)
Long-term multi-systemic complications following SARS-CoV-2 Omicron and Delta infection in children: a retrospective cohort study
Authors: Liang En Wee, Jue Tao Lim, Janice Yu Jin Tan, Jiahui Li, Calvin Chiew, Chee-Fu Yung, Chia Yin Chong, David Chien Lye, Kelvin Bryan Tan
Journal: Clinical Microbiology and Infection (2024)
N6-methyladenosine Modification of 3'tRF-AlaAGC Impairs PD-1 Blockade Efficacy by Promoting Lactic Acid Accumulation in the Tumor Microenvironment of Gastric Carcinoma
Authors: Weiguo Xu, Bin Zhou, Ping Wang, Yuyan Ma, Yu Jiang, Dongping Mo, Jun Wu, Jingjing Ma, Xiao Wang, Yinxing Miao, Yong Nian, Junyu Zheng, Jie Li, Feng Yan, Gang Li
Journal: Drug Resistance Updates (2024)
Neoadjuvant and adjuvant osimertinib in stage IA-IIIA, EGFR-mutant non-small cell lung cancer (NORA)
Authors: Jii Bum Lee, Su-Jin Choi, Hyo Sup Shim, Byung Jo Park, Chang Young Lee, Sumedha Sudhaman, Sharlene Velichko, Min Hee Hong, Byoung Chul Cho, Sun Min Lim
Journal: Journal of Thoracic Oncology (2024)
Development and validation of a predictive model for overall survival in esophageal squamous cell carcinoma post-esophagectomy: the role of lymph node metastatic Stations
Authors: Kexun Li, Simiao Lu, Kunyi Du, Chenghao Wang, Wenwu He, Qifeng Wang, Yongtao Han, Xuefeng Leng, Lin Peng
Journal: International Journal of Surgery (2024)

Background: Esophageal squamous cell carcinoma (ESCC) poses a substantial healthcare challenge, particularly in areas such as East Asia. The pathologic nodal (pN) stage of ESCC remains a controversial factor. Accurately predicting overall survival (OS) after esophagectomy is crucial for treatment planning and improving treatment outcomes. Method: An analysis was conducted using data from our hospital [Details blind for peer review], spanning from January 2010 to December 2017. Our study aimed to examine the clinicopathological characteristics, lymph node resection at individual stations, and treatment details of patients with ESCC who underwent esophagectomy. In addition, a novel nodal stage (N stage) based on the number of lymph node metastasis (LNM) stations and devised a prediction model for OS using the pN stage and the newly proposed N stage. Results: After analysing 49 indicators through univariate and multifactorial analyses, 25 of the most significant factors affecting OS after esophagectomy were identified. Further analysis using least absolute shrinkage and selection operator regression revealed six key factors. Models were developed based on the pN stage and the newly introduced N stage. Evaluation of the area under the curve indicated that Model 2 exhibited slightly superior clinical utility compared to Model 1. Conclusions: Our study demonstrates that the newly introduced N stage, based on the number of LNM stations, exhibits comparable performance to the current American Joint Committee on Cancer/Union for International Cancer Control pN system, with a slight advantageous edge.
Iron Deficiency Promotes Intra-leaflet Haemorrhage-induced Aortic Valve Calcification: an Experimental Study
Authors: Huiruo Liu, Zeyu Yang, Hourong Sun, Zerui Wang, Feng Xu, Yuguo Chen, Chuanbao Li
Journal: International Journal of Surgery (2024)

Background: Interleaflet haemorrhage (IH) plays a well-recognized detrimental role in calcified aortic valve disease (CAVD). However, IH-induced fibro-osteogenic responses in valvular interstitial cells (VICs) appear to be triggered under specific pathological conditions. Iron deficiency (ID), a common co-morbidity in CAVD, may influence these responses. This study investigated the relationship between ID and pathological changes associated with CAVD, and its effects on IH-mediated fibro-osteogenic differentiation of VICs. Methods and Results: Two independent studies were conducted, including 2,495 patients in the discovery study and 34 in the validation study. Our data demonstrated that ID was associated with CAVD severity and progression, particularly in an age-dependent manner. Based on these clinical findings, immunofluorescence and Western blot analyses revealed that TFR1, a key iron import transporter, was significantly upregulated in human calcified aortic valves. Concurrently, iron accumulation was detected by Perl’s staining in both calcific and non-calcific valve sections. In vitro , VICs cultured with human serum from ID patients showed red blood cell lysis-induced iron overload and fibro-calcific differentiation. Conclusions: ID triggers TFR1-mediated intracellular iron overload, leading to fibrosis and calcification in human VICs, thereby contributing to IH-mediated valve remodeling and calcification. These findings supported the potential role of monitoring and correcting ID to slow or prevent the progression of valvular calcification.
Development and Validation of an Interpretable Machine Learning Model to Predict Major Adverse Cardiovascular Events After Noncardiac Surgery in Geriatric Patients: a Prospective Study
Authors: Jiayu Yu, Xiran Peng, Ruihao Zhou, Tao Zhu, Xuechao Hao
Journal: International Journal of Surgery (2024)

Background Major adverse cardiovascular events (MACEs) within 30 days following noncardiac surgery are prognostically relevant. Accurate prediction of risk and modifiable risk factors for postoperative MACEs is critical for surgical planning and patient outcomes. We aimed to develop and validate an accurate and easy-to-use machine learning model for predicting postoperative MACEs in geriatric patients undergoing noncardiac surgery. Materials and Methods The cohort study was conducted at an academic medical center between June 2019 and February 2023. The outcome was postoperative MACEs within 30 days after surgery. Significant predictors were selected using permutation-shuffling. Ten machine learning models were established and compared with the Revised Cardiac Risk Index (RCRI). The SHapley Additive exPlanations algorithm was used to interpret the models. Results Of the 18 395 patients included, 354 (1.92%) experienced postoperative MACEs. Eighteen predictors were included in model development. The AutoGluon model outperformed other models and the RCRI with an AUROC of 0.884 (95% CI: 0.878–0.890), accuracy of 0.976 (95% CI: 0.973–0.978), and Brier Score of 0.023 (95% CI: 0.020–0.026). In interpretability analyses, the hemoglobin level was the most important predictor. We identified the relationships between predictors and postoperative MACEs and interaction effects between some predictors. The AutoGluon model has been deployed as a web-based tool for further external validation (https://huggingface.co/spaces/MDC2J/Predicting_postoperative_MACEs). Conclusion In this prospective study, the AutoGluon model could accurately predict MACEs after noncardiac surgery in geriatric patients, outperforming existing models and the RCRI. Subsequent interpretability analysis can provide insight into how our model works and help personalize surgical strategies.
Identification of hub biomarkers in liver post-metabolic and bariatric surgery using comprehensive machine learning (experimental studies)
Authors: Zhehong Li, Liang Wang, Chenxu Tian, Zheng Wang, Hao Zhao, Yao Qi, Weijian Chen, Qiqige Wuyun, Buhe Amin, Dongbo Lian, Jinxia Zhu, Nengwei Zhang, Lifei Zheng, Guangzhong Xu
Journal: International Journal of Surgery (2024)

Background: The global prevalence of non-alcoholic fatty liver disease (NAFLD) is approximately 30%, and the condition can progress to non-alcoholic steatohepatitis, cirrhosis, and hepatocellular carcinoma. Metabolic and bariatric surgery (MBS) has been shown to be effective in treating obesity and related disorders, including NAFLD. Objective: In this study, comprehensive machine learning was used to identify biomarkers for precise treatment of NAFLD from the perspective of MBS. Methods: Differential expression and univariate logistic regression analyses were performed on lipid metabolism-related genes in a training dataset (GSE83452) and two validation datasets (GSE106737 and GSE48452) to identify consensus predicted genes (CPGs). Subsequently, 13 machine learning algorithms were integrated into 99 combinations; among which, the optimal combination was selected based on the total score of the area under the curve, accuracy, F-score, and recall in the two validation datasets. Hub genes were selected based on their importance ranking in the algorithms and the frequency of their occurrence. Finally, a mouse model of MBS was established and the mRNA expression of the hub genes was validated via quantitative PCR. Results: A total of 12 CPGs were identified after intersecting the results of differential expression and logistic regression analyses on a Venn diagram. Four machine learning algorithms with the highest total scores were identified as optimal models. Additionally, PPARA, PLIN2, MED13, INSIG1, CPT1A, and ALOX5AP were identified as hub genes. The mRNA expression patterns of these genes in mice subjected to MBS were consistent with those observed in the three datasets. Conclusion: Altogether, the six hub genes identified in this study are important for the treatment of NAFLD via MBS and hold substantial promise in guiding personalized treatment of NAFLD in clinical settings.
The association between diabetes mellitus and postoperative cognitive dysfunction: a systematic review and meta-analysis
Authors: Hongbo Liu, Jiali Chen, Jitao Ling, Yuting Wu, Pingping Yang, Xiao Liu, Jianping Liu, Deju Zhang, Xiaoping Yin, Peng Yu, Jing Zhang
Journal: International Journal of Surgery (2024)

Abstract Background: Postoperative cognitive dysfunction (POCD) is a typical consequence following surgery, particularly in cardiac surgeries. Despite its high incidence, the underlying aetiology remains unclear. While diabetes mellitus (DM) has been associated with cognitive impairment, its specific function in POCD development remains unidentified. This study aims to evaluate the connection between DM and the risk of POCD. Methods: We conducted a comprehensive search of PubMed, Embase, Web of Science, and the Cochrane Library databases for studies of DM and risk with POCD, collecting data up to 14 September 2023. We assessed publication bias, heterogeneity, and study quality, adhering to PRISMA and AMSTAR guidelines. Results: Our study comprised 38 trials involving 8748 individuals, with 7734 patients undergoing follow-up. The pooled results showed that individuals with DM had an increased incidence of POCD compared to nondiabetic individuals (RR: 1.44, 95% CI: 1.26–1.65). The incidence of POCD was significantly higher in the group of patients with an average age older than 65 years (RR: 1.69, 95% CI: 1.30–2.20) compared with diabetic patients with an average age younger than 65 years (RR: 1.29, 95% CI: 1.09–1.64). Compared with diabetic patients undergoing cardiac surgery (RR: 1.33, 95% CI: 1.15–1.53), patients receiving non-cardiac surgery showed a greater incidence of POCD (RR: 2.01, 95% CI: 1.43–2.84). Conclusion: Current evidence underscores that diabetic patients face a significantly higher risk of POCD compared to their nondiabetic counterparts. Further research is warranted to clarify the precise mechanisms of this relationship and explore potential preventive strategies for diabetic patients.