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REVIEW
Prakash Katakam, Madhavi Lakshmi Ratna Bhavaraju, Tanniru Venkata Narayana, Koushik Bhandari, Nagarajan Sriram, Vidya Sagar Sisinty, Shanta Kumari Adiki
Space exploration has undergone a paradigm shift in recent years, with a growing emphasis on long-duration missions and human habitation on other celestial bodies. Private aerospace businesses are at the forefront of advancing the next iteration of spacecraft, encompassing a wide range of applications such as deep space exploration (e.g., SpaceX) and cost-effective satellite deployments (e.g., Rocketlab). One of the critical challenges associated with prolonged space missions is the provision of personalized medical care...
2024: Critical Reviews in Therapeutic Drug Carrier Systems
#2
JOURNAL ARTICLE
Yini Pan, Zhenxin Wang, Zhichao Yan, Haofan Sun, Lingyi Zhang, Weibing Zhang
It is the scientific basis of precision medicine to study all of the targets of drugs based on the interaction between drugs and proteins. It is worth paying attention to unknown proteins that interact with drugs to find new targets for the design of new drugs. Herein, we developed a protein profiling strategy based on drug-protein interactions and drug-modified magnetic nanoparticles and took hepatitis C virus (HCV) and its corresponding drug sofosbuvir (SOF) as an example. A SOF-modified magnetic separation medium (Fe3 O4 @POSS@SOF) was prepared, and a gradient elution strategy was employed and optimized to profile specific proteins interacted with SOF...
May 28, 2024: Analytical Chemistry
#3
JOURNAL ARTICLE
Anna Batorsky, Kevin J Anstrom, Donglin Zeng
Sequential multiple assignment randomized trials (SMARTs) are the gold standard for estimating optimal dynamic treatment regimes (DTRs), but are costly and require a large sample size. We introduce the multi-stage augmented Q-learning estimator (MAQE) to improve efficiency of estimation of optimal DTRs by augmenting SMART data with observational data. Our motivating example comes from the Back Pain Consortium, where one of the overarching aims is to learn how to tailor treatments for chronic low back pain to individual patient phenotypes, knowledge which is lacking clinically...
March 27, 2024: Biometrics
#4
JOURNAL ARTICLE
Lu-Chen Weng, Shaan Khurshid, Amelia Weber Hall, Victor Nauffal, Valerie N Morrill, Yan V Sun, Joel T Rämö, Dominik Beer, Simon Lee, Girish Nadkarni, Renee Johnson, Laura Andreasen, Anne Clayton, Clive R Pullinger, Zachary T Yoneda, Daniel J Friedman, Matthew C Hyman, Renae L Judy, Allan C Skanes, Kate M Orland, Paloma Jordà, Timothy M Treu, Matthew T Oetjens, Rajesh Subbiah, Jacob P Hartmann, Heidi T May, John P Kane, Tariq Z Issa, Navid A Nafissi, Peter Leong-Sit, Marie-Pierre Dubé, Carolina Roselli, Seung Hoan Choi, Jean-Claude Tardif, Habib R Khan, Stacey Knight, Jesper H Svendsen, Bruce Walker, Richard Karlsson Linnér, J Michael Gaziano, Rafik Tadros, Diane Fatkin, Daniel J Rader, Svati H Shah, Dan M Roden, Gregory M Marcus, Ruth J F Loos, Scott M Damrauer, Christopher M Haggerty, Kelly Cho, Aarno Palotie, Morten S Olesen, Lee L Eckhardt, Jason D Roberts, Michael J Cutler, M Benjamin Shoemaker, Peter W F Wilson, Patrick T Ellinor, Steven A Lubitz
BACKGROUND: Substantial data support a heritable basis for supraventricular tachycardias, but the genetic determinants and molecular mechanisms of these arrhythmias are poorly understood. We sought to identify genetic loci associated with atrioventricular nodal reentrant tachycardia (AVNRT) and atrioventricular accessory pathways or atrioventricular reciprocating tachycardia (AVAPs/AVRT). METHODS: We performed multiancestry meta-analyses of genome-wide association studies to identify genetic loci for AVNRT (4 studies) and AVAP/AVRT (7 studies)...
May 28, 2024: Circulation. Genomic and Precision Medicine
#5
REVIEW
Yulin Huang, Fei Peng
Micro-nanomotors (MNMs) are micro/nanoscale intelligent devices with vast potential in the fields of drug delivery, precision medicine, biosensing, and environmental remediation. Their primary advantage lies in their ability to convert various forms of external energy (such as magnetic, ultrasonic, and light energy) into their own propulsive force. Additionally, MNMs offer high controllability and modifiability, enabling them to navigate in the microscopic world. Importantly, recent research has harnessed the unique advantages of MNMs to synergize their capabilities in neuromodulation...
May 28, 2024: Nanoscale
#6
JOURNAL ARTICLE
Junjie Zheng, Xiaofen Zong, Lili Tang, Huiling Guo, Pengfei Zhao, Fay Y Womer, Xizhe Zhang, Yanqing Tang, Fei Wang
BACKGROUND: Mood disorders are characterized by great heterogeneity in clinical manifestation. Uncovering such heterogeneity using neuroimaging-based individual biomarkers, clinical behaviors, and genetic risks, might contribute to elucidating the etiology of these diseases and support precision medicine. METHODS: We recruited 174 drug-naïve and drug-free patients with major depressive disorder and bipolar disorder, as well as 404 healthy controls. T1 MRI imaging data, clinical symptoms, and neurocognitive assessments, and genetics were obtained and analyzed...
May 28, 2024: Psychological Medicine
#7
JOURNAL ARTICLE
Animesh Acharjee, Daniella Okyere, Dipanwita Nath, Shruti Nagar, Georgios V Gkoutos
Pancreatic ductal adenocarcinoma (PDAC) is a deadly disease that typically manifests late patient presentation and poor outcomes. Furthermore, PDAC recurrence is a common challenge. Distinct patterns of PDAC recurrence have been associated with differential activation of immune pathway-related genes and specific inflammatory responses in their tumour microenvironment. However, the molecular associations between and within cellular components that underpin PDAC recurrence require further development, especially from a multi-omics integration perspective...
May 30, 2024: Heliyon
#8
JOURNAL ARTICLE
Hang Wu, Wenqi Shi, May D Wang
BACKGROUND: Modeling causality through graphs, referred to as causal graph learning, offers an appropriate description of the dynamics of causality. The majority of current machine learning models in clinical decision support systems only predict associations between variables, whereas causal graph learning models causality dynamics through graphs. However, building personalized causal graphs for each individual is challenging due to the limited amount of data available for each patient...
May 27, 2024: BMC Medical Informatics and Decision Making
#9
JOURNAL ARTICLE
Yitian Zhou, Sebastian Pirmann, Volker M Lauschke
Lack of efficacy or adverse drug response are common phenomena in pharmacological therapy causing considerable morbidity and mortality. It is estimated that 20-30% of this variability in drug response stems from variations in genes encoding drug targets or factors involved in drug disposition. Leveraging such pharmacogenomic information for the preemptive identification of patients who would benefit from dose adjustments or alternative medications thus constitutes an important frontier of precision medicine...
May 27, 2024: Pharmacogenomics Journal
#10
REVIEW
Lenja De Cock, Valérie Bercier, Ludo Van Den Bosch
Amyotrophic lateral sclerosis (ALS) is a progressive neurodegenerative disorder in which selective death of motor neurons leads to muscle weakness and paralysis. Most research has focused on understanding and treating monogenic familial forms, most frequently caused by mutations in SOD1, FUS, TARDBP and C9orf72, although ALS is mostly sporadic and without a clear genetic cause. Rodent models have been developed to study monogenic ALS, but despite numerous pre-clinical studies and clinical trials, few disease-modifying therapies are available...
2024: International Review of Neurobiology
#11
JOURNAL ARTICLE
Kai-Uwe Lewandrowski, Alireza Sharafshah, John Elfar, Sergio Luis Schmidt, Kenneth Blum, Franklin Todd Wetzel
Considering the variability in individual responses to opioids and the growing concerns about opioid addiction, prescribing opioids for postoperative pain management after spine surgery presents significant challenges. Therefore, this study undertook a novel pharmacogenomics-based in silico investigation of FDA-approved opioid medications. The DrugBank database was employed to identify all FDA-approved opioids. Subsequently, the PharmGKB database was utilized to filter through all variant annotations associated with the relevant genes...
May 27, 2024: Cellular and Molecular Neurobiology
#12
REVIEW
Nobuyasu Komasawa
This narrative review explores the crucial aspects of postoperative pain management within the framework of Enhanced Recovery After Surgery (ERAS). It emphasizes the significance of effective and secure pain management, highlighting its impact on patient well-being, surgical outcomes, and hospital stays. The inadequacy of perioperative pain relief increases the risk of persistent postoperative pain, emphasizing the need to challenge the notion that pain is expected after surgery. The goals of postoperative pain management extend beyond mere relief, encompassing comfortable sleep, pain-free rest, and liberation from pain during initial recovery...
April 2024: Curēus
#13
REVIEW
Biruk D Ayalew, Zarin Nudar Rodoshi, Vaishvik K Patel, Alaa Alresheq, Hisham M Babu, Raja Faizan Aurangzeb, Raja Irsalan Aurangzeb, Marika Mdivnishvili, Abdur Rehman, Abdullah Shehryar, Ahmad Hassan
Nuclear cardiology, employing advanced imaging technologies like positron emission tomography (PET) and single photon emission computed tomography (SPECT), is instrumental in diagnosing, risk stratifying, and managing heart diseases. Concurrently, precision medicine advocates for treatments tailored to each patient's genetic, environmental, and lifestyle specificities, promising a revolution in personalized cardiovascular care. This review explores the synergy between nuclear cardiology and precision medicine, highlighting advancements, potential enhancements in patient outcomes, and the challenges and opportunities of this integration...
April 2024: Curēus
#14
JOURNAL ARTICLE
Shachar Snir, Yupeng Chen, Matan Yechezkel, Tal Patalon, Erez Shmueli, Margaret L Brandeau, Dan Yamin
BACKGROUND: Limited knowledge exists regarding behavioral and biomarker shifts during the period from respiratory infection exposure to testing decisions (the diagnostic decision period), a key phase affecting transmission dynamics and public health strategy development. This study aims to examine the changes in behavior and biomarkers during the diagnostic decision period for COVID-19, influenza, and group A streptococcus (GAS). METHODS: We analyzed data from a two-year prospective cohort study involving 4795 participants in Israel, incorporating smartwatch data, self-reported symptoms, and medical records...
July 2024: The Lancet regional health. Europe
#15
REVIEW
Yu Tian, Meng Zhang, Li-Xia Liu, Zi-Chao Wang, Bin Liu, Youcai Huang, Xiaoling Wang, Yun-Zhi Ling, Furong Wang, Xiaoqiang Feng, Yanyang Tu
Hepatocellular carcinoma (HCC) is a significant contributor to cancer-related deaths in the world. The development and progression of HCC are closely correlated with the abnormal regulation of non-coding RNAs (ncRNAs), such as microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). Important biological pathways in cancer biology, such as cell proliferation, death, and metastasis, are impacted by these ncRNAs, which modulate gene expression. The abnormal expression of non-coding RNAs in HCC raises the possibility that they could be applied as new biomarkers for diagnosis, prognosis, and treatment targets...
2024: Frontiers in Immunology
#16
JOURNAL ARTICLE
Qiyu Jia, Hao Zheng, Jie Lin, Jian Guo, Sijia Fan, Abudusalamu Alimujiang, Xi Wang, Lanqi Fu, Zengru Xie, Chuang Ma, Junna Wang
Introduction: Chronic osteomyelitis is a complex clinical condition that is associated with a high recurrence rate. Traditional surgical interventions often face challenges in achieving a balance between thorough debridement and managing resultant bone defects. Radiomics is an emerging technique that extracts quantitative features from medical images to reveal pathological information imperceptible to the naked eye. This study aims to investigate the potential of radiomics in optimizing osteomyelitis diagnosis and surgical treatment...
2024: Frontiers in Bioengineering and Biotechnology
#17
Brady F Lundin, Gavin T Knight, Nikolai J Fedorchak, Kevin Krucki, Nisha Iyer, Jack E Maher, Nicholas R Izban, Abilene Roberts, Madeline R Cicero, Joshua F Robinson, Bermans J Iskandar, Rebecca Willett, Randolph S Ashton
Neural organoids have revolutionized how human neurodevelopmental disorders (NDDs) are studied. Yet, their utility for screening complex NDD etiologies and in drug discovery is limited by a lack of scalable and quantifiable derivation formats. Here, we describe the RosetteArray ® platform's ability to be used as an off-the-shelf, 96-well plate assay that standardizes incipient forebrain and spinal cord organoid morphogenesis as micropatterned, 3-D, singularly polarized neural rosette tissues (>9000 per plate)...
May 14, 2024: bioRxiv
#18
JOURNAL ARTICLE
Kevin Hilbert, Joscha Böhnlein, Charlotte Meinke, Alice V Chavanne, Till Langhammer, Lara Stumpe, Nils Winter, Ramona Leenings, Dirk Adolph, Volker Arolt, Sophie Bischoff, Jan C Cwik, Jürgen Deckert, Katharina Domschke, Thomas Fydrich, Bettina Gathmann, Alfons O Hamm, Ingmar Heinig, Martin J Herrmann, Maike Hollandt, Jürgen Hoyer, Markus Junghöfer, Tilo Kircher, Katja Koelkebeck, Martin Lotze, Jürgen Margraf, Jennifer L M Mumm, Peter Neudeck, Paul Pauli, Andre Pittig, Jens Plag, Jan Richter, Isabelle C Ridderbusch, Winfried Rief, Silvia Schneider, Hanna Schwarzmeier, Fabian R Seeger, Niklas Siminski, Benjamin Straube, Thomas Straube, Andreas Ströhle, Hans-Ulrich Wittchen, Adrian Wroblewski, Yunbo Yang, Kati Roesmann, Elisabeth J Leehr, Udo Dannlowski, Ulrike Lueken
Data-based predictions of individual Cognitive Behavioral Therapy (CBT) treatment response are a fundamental step towards precision medicine. Past studies demonstrated only moderate prediction accuracy (i.e. ability to discriminate between responders and non-responders of a given treatment) when using clinical routine data such as demographic and questionnaire data, while neuroimaging data achieved superior prediction accuracy. However, these studies may be considerably biased due to very limited sample sizes and bias-prone methodology...
May 25, 2024: NeuroImage
#19
JOURNAL ARTICLE
Minghe Li, Huike Guo, Keao Wang, Chuanze Kang, Yanbin Yin, Han Zhang
Integration analysis of cancer multi-omics data for pan-cancer classification has the potential for clinical applications in various aspects such as tumor diagnosis, analyzing clinically significant features, and providing precision medicine. In these applications, the embedding and feature selection on high-dimensional multi-omics data is clinically necessary. Recently, deep learning algorithms become the most promising cancer multi-omic integration analysis methods, due to the powerful capability of capturing nonlinear relationships...
May 14, 2024: Computers in Biology and Medicine
#20
REVIEW
Seaton Robertson, Erin D Clarke, María Gómez-Martín, Victoria Cross, Clare E Collins, Jordan Stanford
This review aimed to synthesise existing literature on the efficacy of personalised or precision nutrition (PPN) interventions, including medical nutrition therapy (MNT), in improving outcomes related to glycaemic control (HbA1c, post-prandial glucose [PPG], and fasting blood glucose), anthropometry (weight, BMI, and waist circumference [WC]), blood lipids, blood pressure (BP), and dietary intake among adults with prediabetes or metabolic syndrome (MetS). Six databases were systematically searched (Scopus, Medline, Embase, CINAHL, PsycINFO, and Cochrane) for randomised controlled trials (RCTs) published from January 2000 to 16 April 2023...
May 14, 2024: Nutrients
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