Positron emission tomography molecular imaging for pathological visualization in multiple system atrophy by La Dong, Rui Zhou, Jinyun Zhou, Ke Liu, Chentao Jin, Jing Wang, Chenxi Xue, Mei Tian, Hong Zhang, Yan Zhong

“…PET imaging of molecular events provides valuable insights into the underlying pathomechanisms of MSA and holds significant promise for the development of imaging biomarkers, which could greatly improve disease assessment and management. In this review, we focused on the pathological mechanisms of MSA, summarized relevant targets and radiopharmaceuticals, and discussed the clinical applications and future perspectives of PET molecular imaging in MSA.…”
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Anxiety and depression in people with epilepsy during and one year after the COVID‐19 pandemic by Iris E. Martínez‐Juárez, Jimena Gonzalez‐Salido, Jimena Colado‐Martinez, Irving Fuentes‐Calvo, Santiago Philibert‐Rosas, E. Rodrigo Velásquez‐Coria, Salvador Martínez‐Medina, Mijail A. Rivas‐Cruz, Eithel Valenzuela‐Mendivil, Karen E. Guzmán‐Sánchez, Elizabeth M. Ruiz‐Peñaflor, Arnold R. Thomson‐Cerna, Emilia M. González‐Villagómez, Jimena Armenta‐Báez, Andrea Santos‐Peyret, Aurelio Jara‐Prado, Adriana Ochoa‐Morales, Daniel Crail‐Meléndez, Ángel Ruiz‐Chow, Mario A. Sebastián‐Díaz

“…Abstract Objective Compare the prevalence and severity of anxiety and depression among people with epilepsy (PWE) evaluated by telemedicine during the initial stages of the COVID‐19 pandemic and follow up on their status 15 months later. Methods We conducted a prospective, observational, and analytical study at the Epilepsy Clinic of the National Institute of Neurology and Neurosurgery (NINN) in Mexico City during the COVID‐19 pandemic. …”
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Protective potential of structural proteins of the SARS-CoV-2 virus in protecting against COVID-19 by Inna V. Dolzhikova, Daria M. Grousova, Ilya D. Zorkov, Anna A. Ilyukhina, Anna V. Kovyrshina, Olga V. Zubkova, Olga D. Popova, Tatiana A. Ozharovskaya, Denis I. Zrelkin, Daria M. Savina, Ekaterina G. Samokhvalova, Amir I. Tukhvatulin, Dmitry V. Shcheblyakov, Denis Yu. Logunov, Alexander L. Gintsburg

“…Due to the high rate of variability of the pathogen, in this study we analyzed the variability of the structural proteins of the SARS-CoV-2 virus and compared their protective potential in protecting animals from COVID-19. …”
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Unveiling neurogenic biomarkers for the differentiation between sepsis patients with or without encephalopathy: an updated meta-analysis by Jiyun Hu, Wenchao Li, Shucai Xie, Ya Liao, Tao Chen, Xinrun Wang, Weiping Xia, Fang Huang, Zhaoxin Qian, Lina Zhang

“…A meta-analysis was conducted to comprehensively and critically evaluate the existing body of evidence regarding the use of serum neurogenic biomarkers: neuron-specific enolase (NSE), ubiquitin C-terminal hydrolase-L1 (UCH-L1), Tau, S100 calcium-binding protein β (S100β), and glial fibrillary acidic protein (GFAP) for the diagnosis and risk assessment of fatality in SAE. We conducted a systematic search of electronic bibliographic databases, including PubMed, Web of Science, Embase, Cochrane databases, CNKI, CQVIP, and WFSD. …”
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Comparison of clinical metagenomics with 16S rDNA Sanger sequencing for the bacteriological diagnosis of culture-negative samples by Camille d’Humières, Skerdi Haviari, Marie Petitjean, Laurène Deconinck, Signara Gueye, Nathan Peiffer-Smadja, Lynda Chalal, Naima Beldjoudi, Geoffrey Rossi, Yann Nguyen, Charles Burdet, Ségolène Perrineau, Diane Le Pluart, Roza Rahli, Michael Thy, Piotr Szychowiak, Xavier Lescure, Véronique Leflon-Guibout, Victoire de Lastours, Etienne Ruppé

“…Clinical metagenomics (CMg), i.e. the sequencing of a sample’s entire nucleic acids, may allow for the identification of bacteria not detected by conventional methods. Here, we tested the performance of CMg compared to 16S rDNA sequencing (Sanger) in 50 patients with suspected bacterial infection but negative cultures. …”
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Comparative evaluation of multimarker algorithms for early-stage HCC detection in multicenter prospective studies by Jinlin Hou, Thomas Berg, Arndt Vogel, Teerha Piratvisuth, Jörg Trojan, Enrico N. De Toni, Masatoshi Kudo, Katarina Malinowsky, Peter Findeisen, Johannes Kolja Hegel, Wenzel Schöning, Kairat Madin, Konstantin Kroeniger, Henry Lik-Yuen Chan, Ashish Sharma

“…Background & Aims: We compared the clinical performance of the novel GAAD (gender [biological sex], age, alpha-fetoprotein [AFP], des-gamma carboxyprothrombin [DCP]) and GALAD (gender [biological sex], age, AFP, Lens culinaris agglutinin-reactive AFP [AFP-L3], DCP) algorithms to deduce the clinical utility of AFP-L3 for detecting early-stage hepatocellular carcinoma (HCC) from chronic liver disease (CLD). …”
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Impact of bedroom light exposure on glucose metabolic markers and the role of circadian-dependent meal timing: A population-based cross-sectional study by Qi Li, Yu-xiang Xu, Xiu-zhen Lu, Yu-ting Shen, Yu-hui Wan, Pu-yu Su, Fang-biao Tao, Xin Chen, Ying Sun

“…However, little is known about the effects of bedroom LAN exposure on glucose metabolism markers. We aimed to explore the association between intensity and duration of bedroom LAN exposure with glucose metabolism markers, and the role of circadian-dependent meal timing in these associations. …”
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Neoadjuvant apatinib addition to sintilimab and carboplatin-taxane based chemotherapy in patients with early triple-negative breast cancer: the phase 2 NeoSAC trial by Guoshuang Shen, Zhilin Liu, Miaozhou Wang, Yi Zhao, Xinlan Liu, Yujin Hou, Wenbiao Ma, Jingqi Han, Xiaofeng Zhou, Dengfeng Ren, Fuxing Zhao, Zitao Li, Shifen Huang, Yongzhi Chen, Yingjian He, Yan Liu, Zijun Zhu, Yongxin Li, Jinming Li, Mengting Da, Hongnan Mo, Feng Du, Liang Cui, Jing Bai, Zhen Liu, Fei Ma, Jiuda Zhao

“…Abstract We aimed to evaluate the efficacy and safety of adding apatinib, to sintilimab and chemotherapy in the neoadjuvant treatment of early triple-negative breast cancer (TNBC). …”
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Differentiating the Acceleration Mechanisms in the Slow and Alfvénic Slow Solar Wind by Yeimy J. Rivera, Samuel T. Badman, J. L. Verniero, Tania Varesano, Michael L. Stevens, Julia E. Stawarz, Katharine K. Reeves, Jim M. Raines, John C. Raymond, Christopher J. Owen, Stefano A. Livi, Susan T. Lepri, Enrico Landi, Jasper. S. Halekas, Tamar Ervin, Ryan M. Dewey, Rossana De Marco, Raffaella D’Amicis, Jean-Baptiste Dakeyo, Stuart D. Bale, B. L. Alterman

“…Through a well-timed conjunction between Solar Orbiter and Parker Solar Probe (PSP), we trace the energetics of slow wind to compare with a neighboring Alfvénic slow solar wind stream. …”
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Targeting protein kinase C-α prolongs survival and restores liver function in sepsis: Evidence from preclinical models by Ling Xiong, Dustin Beyer, Na Liu, Tina Lehmann, Sophie Neugebauer, Sascha Schaeuble, Oliver Sommerfeld, Philipp Ernst, Carl-Magnus Svensson, Sandor Nietzsche, Sebastian Scholl, Tony Bruns, Nikolaus Gaßler, Markus H. Gräler, Marc Thilo Figge, Gianni Panagiotou, Michael Bauer, Adrian T. Press

“…Using a preclinical murine sepsis model, we found that both PKCα knockout and the use of a PKCα-inhibitor midostaurin successfully restored liver function without hindering the host’s response or ability to clear the pathogen, highlighting PKCα’s vital role in excretory liver failure. …”
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Whole genomic analysis uncovers high genetic diversity of rifampicin-resistant Mycobacterium tuberculosis strains in Botswana by Tuelo Mogashoa, Tuelo Mogashoa, Johannes Loubser, Ontlametse T. Choga, Ontlametse T. Choga, Justice Tresor Ngom, Wonderful T. Choga, Wonderful T. Choga, Mpaphi B. Mbulawa, Tuduetso Molefi, One Stephen, Topo Makhondo, Kedumetse Seru, Patience Motshosi, Boitumelo Zuze, Joseph Makhema, Rosemary M. Musonda, Dimpho Otukile, Chawangwa Modongo, Botshelo T. Kgwaadira, Keabetswe Fane, Simani Gaseitsiwe, Rob M. Warren, Sikhulile Moyo, Sikhulile Moyo, Sikhulile Moyo, Sikhulile Moyo, Anzaan Dippenaar, Elizabeth M. Streicher

“…Statistical analyses were performed on STATA version 18.ResultsWGS analysis revealed multidrug resistance (57.9%: 95% CI; 50.7–64.8), Pre-XDR (16.8%, 95% CI: 11.9–22.7), RR-TB (20.2%: 95% CI: 14.98–26.5), and HR-TB (0.5%, 95% CI; 0.01–2.7). We identified a high genetic diversity with three predominant lineages: lineage 4 (60.9%, 95% CI; 53.8–67.7), lineage 1 (22.8%: 95% CI; 17.2–29.2), and lineage 2 (13.9%, 95% CI: 9.4–19.4). …”
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Toward an integrated pantropical ocean observing system by Gregory R. Foltz, Yassir A. Eddebbar, Janet Sprintall, Antonietta Capotondi, Antonietta Capotondi, Sophie Cravatte, Sophie Cravatte, Peter Brandt, Peter Brandt, Adrienne J. Sutton, Tamaryn Morris, Juliet Hermes, Juliet Hermes, Clive R. McMahon, Michael J. McPhaden, Lev B. Looney, Lev B. Looney, Lev B. Looney, Franz Philip Tuchen, Franz Philip Tuchen, Mathew Koll Roxy, Fan Wang, Fei Chai, Regina R. Rodrigues, Belen Rodriguez-Fonseca, Belen Rodriguez-Fonseca, Aneesh C. Subramanian, Marcus Dengler, Cheyenne Stienbarger, Kathleen Bailey, Weidong Yu

“…Previous reviews and assessments of the tropical observing system have focused separately on individual basins and their associated observing needs. Here we provide a broader perspective covering the tropical observing system as a whole. …”
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Healthy food prescription incentive programme for adults with type 2 diabetes who are experiencing food insecurity: protocol for a randomised controlled trial, modelling and implem... by Colleen Norris, Tyler Williamson, Richard Oster, Dana Lee Olstad, Laura White, David J T Campbell, Sharlette Dunn, Kim D Raine, Mary L'Abbé, Richard Lewanczuk, Lorraine L Lipscombe, Eldon Spackman, Reed Beall, Kienan Williams, Sara Scott, Gabrielle L Zimmermann, Kerry A McBrien, Kieran J D Steer, Catherine B Chan, Sheila Tyminski, Seth Berkowitz, Alun L Edwards, Terry Saunders-Smith, Saania Tariq, Naomi Popeski, Sara Nejatinamini, Aruba Naser, Carlota Basualdo-Hammond, Petra O’Connell, Judy Seidel, Jason Cabaj

“…Healthy food prescription programmes may reduce food insecurity and support patients to improve their diet quality, prevent diabetes complications and avoid acute care use. We will use a type 2 hybrid-effectiveness design to examine the reach, effectiveness, adoption, implementation and maintenance (RE-AIM) of a healthy food prescription incentive programme for adults experiencing food insecurity and persistent hyperglycaemia. …”
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Basic Molecular Biology, Metabolic and Immunological Mechanisms of Fecal Microbiota Transplantation by O. V. Goloshchapov, A. V. Beynarovich, A. B. Chukhlovin, R. V. Klementeva, A. A. Shcherbakov, E. A. Bakin, I. K. Golubovskaya, N. D. Ventslovayte, O. S. Yudintseva, M. V. Gorchakova, V. E. Karev, M. A. Kucher, M. A. Suvorova, E. V. Svetkina, G. G. Rodionov, V. V. Gostev, S. V. Sidorenko, I. S. Moiseev, A. D. Kulagin

“…To monitor the basic effects of FMT, we performed targeted DNA sequencing of 16S rRNA gene (V3–V4) using MiSeq platform as well as multiplex real-time PCR, MS/gas chromatography technique, immunophenotyping of blood lymphocytes, histological and immunohistochemical techniques.Clinical case. …”
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Editorial by Jörg Tremmel, Maria Lenk, Antony Mason, Markus Rutsche

“…This is best explained when we look at the relationship between (familial) generations before the welfare state came into being. …”
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Mitral Valve Repair by Irbaz Hameed, MD, Adham Ahmed, BS, Christina Waldron, BS, Percy T. Algarate, MD, Michal Kawczynski, MD, Maurish Fatima, MBBS, BS, Amnah Alhazmi, MBBS, Samantha Colon, BS, Alexandria Brackett, MA, MLIS, Samuel Heuts, MD, PhD, Peyman Sardari Nia, MD, PhD, Mario Gaudino, MD, PhD, Vinay Badhwar, MD, Arnar Geirsson, MD

“…Conclusions: Our study validates volume cutoffs associated with optimal long-term outcomes following isolated MVr. We found MVr volumes of >38 cases/y, 45 cases/y, and >70 cases/y to be associated with significantly improved long-term survival, durability of repair, and freedom from reoperation, respectively. …”
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Long-term exposure to fine particulate matter components with obesity in children and adolescents in China: The age-sex disparities and key effect modifiers by Jinling Wang, Xinyi Li, Guannan Bai, Rachel Huxley, Kejia Hu, Jinna Yuan, Xuelian Zhou, Xiaochi Zhang, Ke Huang, Guanping Dong, Wei Wu, Bingyan Cao, Rongxiu Zheng, Chunlin Wang, Haiyan Wei, Yan Liang, Hui Yao, Feihong Luo, Pin Li, Zhe Su, Ruimin Chen, Shaoke Chen, Jingsi Luo, Hongwei Du, Mireguli. Maimaiti, Jianwei Zhang, Yu Yang, Min Zhu, Qi Zhao, Junfen Fu

“…However, the key PM2.5 components and whether PM2.5 effect may vary by obesity type, growth stage, sex, and individual/family characteristics have yet been examined. In this study, we investigated 213,907 Chinese children and adolescents aged 3–18 years in 2017–2019. …”
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GWAS of CRP response to statins further supports the role of APOE in statin response: A GIST consortium study by Emma F. Magavern, Harshal Deshmukh, Geraldine Asselin, Elizabeth Theusch, Stella Trompet, Xiaohui Li, Raymond Noordam, Y.-D. Ida Chen, Teresa E. Seeman, Kent D. Taylor, Wendy S. Post, Jean-Claude Tardif, Dirk S. Paul, Emelia J. Benjamin, Nancy L. Heard-Costa, Ramachandran S. Vasan, Jerome I. Rotter, Ronald M. Krauss, J.Wouter Jukema, Paul M. Ridker, Patricia B. Munroe, Mark J. Caulfield, Daniel I. Chasman, Marie-Pierre Dubé, Graham A. Hitman, Helen R. Warren

“…Clinical studies show statins act independently of lipid-lowering mechanisms to decrease C-reactive protein (CRP), an inflammation marker. We aim to elucidate genetic loci associated with CRP statin response.CRP statin response is the change in log-CRP between off-treatment and on-treatment measurements. …”
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Niraparib restricts intraperitoneal metastases of ovarian cancer by eliciting CD36-dependent ferroptosis by Ning Jin, Yi-yu Qian, Xiao-fei Jiao, Zhen Wang, Xin Li, Wen Pan, Jin-kai Jiang, Pu Huang, Si-yuan Wang, Ping Jin, Qing-lei Gao, Dan Liu, Yu Xia

“…Although niraparib holds a pivotal role in the maintenance treatment of OC, its effect on suppressing metastases during primary intervention remains enigmatic. Recently, we initiated a prospective clinical study (NCT04507841) in order to evaluate the therapeutic efficacy of neoadjuvant niraparib monotherapy for advanced OC with homologous recombination deficiency. …”
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Genetic evidence for the causal effects of air pollution on the risk of respiratory diseases by Yanjuan Wu, Yuting Zhang, Jingcun Wang, Qiming Gan, Xiaofen Su, Sun Zhang, Yutong Ding, Xinyan Yang, Nuofu Zhang, Kang Wu

“…In this study, Mendelian randomization (MR) analysis was used to explore the causal and epigenetic relationships between various air pollutants and common respiratory diseases. Methods: We utilized a two-sample Mendelian randomization (TSMR) approach to explore the impact of PM2.5, PM2.5–10, PM10, NO2, and NOX on the incidence of nine respiratory diseases using data from large-scale European GWAS datasets (N = 423,796–456,380 for exposures; N = 162,962–486,484 for outcomes). …”
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