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Gastroenterology Report 2022年第1期10卷 171-177页

作者： Reezwana Chowdhury Sunanda V.Kane Division of Gastroenterology and Hepatology Department of MedicineJohns Hopkins UniversityBaltimoreMDUSA Division of Gastroenterology and Hepatology Department of MedicineMayo ClinicRochesterMNUSA

Approximately 50%of patients with inflammatory bowel disease including both Crohn’s disease and ulcerative colitis are female with many being diagnosed and treated during their reproductive *** is important for women to be in remission prior to and during *** have been many advances in the treatment of inflammatory bowel disease,including new *** this review,we summarize the currently approved medications for Crohn’s disease and their safety in pregnancy and *** totality of evidence suggests that the majority of therapies are low-risk before and during pregnancy,and should be continued to control maternal disease.

关键词： Crohn’s disease pregnancy teratogenicity inflammatory bowel disease lactation biologics anti-TNF

Convergence of random zeros on complex manifolds

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Science China Mathematics 2008年第4期51卷 707-720页

作者： Bernard SHIFFMAN Department of Mathematics Johns Hopkins University

We show that the zeros of random sequences of Gaussian systems of polynomials of increasing degree almost surely converge to the expected limit distribution under very general hypotheses. In particular, the normalized distribution of zeros of systems of m polynomials of degree N, orthonormalized on a regular compact set K ? ? m , almost surely converge to the equilibrium measure on K as N → ∞.

关键词： random polynomial ample line bundle zeros of holomorphic sections equilibrium measure 32A60 32L10 60G99

Administration of soluble activin receptor 2B increases bone and muscle mass in a mouse model of osteogenesis imperfecta

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Bone Research 2015年第1期3卷 40-45页

作者： Douglas J DiGirolamo Vandana Singhal Xiaoli Chang Se-Jin Lee Emily L Germain-Lee Department of Orthopaedic Surgery Johns Hopkins University School of Medicine Bone & Osteogenesis Imperfecta Department Kennedy Krieger Institute Department of Molecular Biology and Genetics Johns Hopkins University School of Medicine Department of Pediatrics Johns Hopkins University School of Medicine

Osteogenesis imperfecta（OI） comprises a group of heritable connective tissue disorders generally defined by recurrent fractures, low bone mass, short stature and skeletal fragility. Beyond the skeletal complications of OI,many patients also report intolerance to physical activity, fatigue and muscle weakness. Indeed, recent studies have demonstrated that skeletal muscle is also negatively affected by OI, both directly and indirectly. Given the well-established interdependence of bone and skeletal muscle in both physiology and pathophysiology and the observations of skeletal muscle pathology in patients with OI, we investigated the therapeutic potential of simultaneous anabolic targeting of both bone and skeletal muscle using a soluble activin receptor 2B（ACVR2B） in a mouse model of type Ⅲ OI（oim）. Treatment of 12-week-old oim mice with ACVR2 B for 4 weeks resulted in significant increases in both bone and muscle that were similar to those observed in healthy,wild-type littermates. This proof of concept study provides encouraging evidence for a holistic approach to treating the deleterious consequences of OI in the musculoskeletal system.

关键词： bone Administration of soluble activin receptor 2B increases bone and muscle mass in a mouse model of osteogenesis imperfecta

Recent Progress in Exploiting Small Molecule Peptides as Supramolecular Hydrogelators

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Chinese Journal of Polymer Science 2017年第10期35卷 1194-1211页

作者： Hao Su Yuzhu Wang Caleb F.Anderson Jin Mo Koo Han Wang Honggang Cui Department of Chemical and Biomolecular Engineering The Johns Hopkins University Baltimore Maryland 21218 USA Institute for NanoBio Technology The Johns Hopkins University Baltimore Maryland 21218 USA Department of Oncology and Sidney Kimmel Comprehensive Cancer Center Johns Hopkins University School of Medicine Baltimore MD 21205 USA Center for Nanomedicine The Wilmer Eye Institute Johns Hopkins University School of Medicine 400 North Broadway Baltimore MD 21231 USA

Small molecule peptides and their derivatives are an emerging class of supramolecular hydrogelators that have attracted rapidly growing interest in the fields of drug delivery and regenerative medicine due to their inherent biodegradability and biocompatibility, as well as versatility in molecular design and ease of synthesis. Built upon the directional, intermolecular interactions such as hydrogen bonding and π-π stacking, peptide-based molecular units can associate in aqueous solution into filamentous assemblies of various sizes and shapes. Under appropriate conditions, these filamentous assemblies can percolate into a 3D network with materials properties tailorable for specific biomedical applications. In this review, we survey the literature published over the past three years in the development of peptide-based hydrogelators for biomedical applications. We highlight several representative examples and center our discussion on the fundamentals of molecular design, assembly, and gelation conditions.

关键词： PNIPAM spheres reversible assembled colloidal Highly ordered assembly leaving anhydride

SDCC: software-defined collective communication for distributed training

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Science China(Information Sciences) 2024年第9期67卷 105-125页

作者： Xin JIN Zhen ZHANG Yunshan JIA Yun MA Xuanzhe LIU School of Computer Science Peking University Department of Computer Science and Technology Johns Hopkins University

Communication is crucial to the performance of distributed training. Today's solutions tightly couple the control and data planes and lack flexibility, generality, and performance. In this study, we present SDCC, a software-defined collective communication framework for distributed training. SDCC is based on the principle of modern systems design to effectively decouple the control plane from the data *** abstracts the operations for collective communication in distributed training with dataflow operations and unifies computing and communication with a single dataflow graph. The abstraction, together with the unification, is powerful: it enables users to easily express new and existing collective communication algorithms and optimizations, simplifies the integration with different computing engines(e.g., Py Torch and Tensor Flow) and network transports(e.g., Linux TCP and kernel bypass), and allows the system to improve performance by exploiting parallelism exposed by the dataflow graph. We further demonstrate the benefits of SDCC in four use cases.

关键词： machine learning systems distributed training deep learning collective communication software-defined networking

Translational bioengineering strategies for peripheral nerve regeneration:opportunities,challenges,and novel concepts

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Neural Regeneration Research 2023年第6期18卷 1229-1234页

作者： Karim A.Sarhane Chenhu Qiu Thomas G.W.Harris Philip J.Hanwright Hai-Quan Mao Sami H.Tuffaha Department of Plastic and Reconstructive Surgery Peripheral Nerve Research LaboratoryJohns Hopkins University School of MedicineBaltimoreMDUSA Department of Materials Science and Engineering Johns Hopkins University Whiting School of EngineeringBaltimoreMDUSA Institute for NanoBioTechnology Johns Hopkins UniversityBaltimoreMDUSA Translational Tissue Engineering Center Johns Hopkins University School of MedicineBaltimoreMDUSA Department of Biomedical Engineering Johns Hopkins University School of MedicineBaltimoreMDUSA

Peripheral nerve injuries remain a challenging problem in need of better treatment *** best efforts at surgical reconstruction and postoperative rehabilitation,patients are often left with persistent,debilitating motor and sensory *** are currently no therapeutic strategies proven to enhance the regenerative process in humans.A clinical need exists for the development of technologies to promote nerve regeneration and improve functional *** advances in the fields of tissue engineering and nanotechnology have enabled biomaterial scaffolds to modulate the host response to tissue repair through tailored mechanical,chemical,and conductive *** bioengineered approaches have enabled targeted,sustained delivery of protein therapeutics with the capacity to unlock the clinical potential of a myriad of neurotrophic growth factors that have demonstrated promise in enhancing regenerative *** such,further exploration of combinatory strategies leveraging these technological advances may offer a pathway towards clinically translatable solutions to advance the care of patients with peripheral nerve *** review first presents the various emerging bioengineering strategies that can be applied for the management of nerve gap *** cover the rationale and limitations for their use as an alternative to autografts,focusing on the approaches to increase the number of regenerating axons crossing the repair site,and facilitating their growth towards the distal *** also discuss the emerging growth factor-based therapeutic strategies designed to improve functional outcomes in a multimodal fashion,by accelerating axonal growth,improving the distal regenerative environment,and preventing end-organs atrophy.

关键词： bioengineering biomaterials growth hormone insulin-like growth factor 1 nanotechnology neurobiology peripheral nerve regeneration Schwann cells translational research

Comparative Gene Expression Analysis of Mouse and Human Cardiac Maturation

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Genomics, Proteomics & Bioinformatics 2016年第4期14卷 207-215页

作者： Hideki Uosaki Y-h Taguchi Division of Cardiology The Johns Hopkins University School of Medicine Department of Physics Chuo University

Understanding how human cardiomyocytes mature is crucial to realizing stem cell-based heart regeneration, modeling adult heart diseases, and facilitating drug discovery. However, it is not feasible to analyze human samples for maturation due to inaccessibility to samples while cardiomyocytes mature during fetal development and childhood, as well as difficulty in avoiding variations among individuals. Using model animals such as mice can be a useful strategy; nonetheless, it is not well-understood whether and to what degree gene expression profiles during maturation are shared between humans and mice. Therefore, we performed a comparative gene expression analysis of mice and human samples. First, we examined two distinct mice microarray platforms for shared gene expression profiles, aiming to increase reliability of the analysis. We identified a set of genes displaying progressive changes during maturation based on principal component analysis. Second, we demonstrated that the genes identified had a differential expression pattern between adult and earlier stages （e.g., fetus） common in mice and humans. Our findings provide a foundation for further genetic studies of cardiomyocyte maturation.

关键词： Cardiac maturation Comparative gene expressionanalysis Microarray meta analysis Principal component analysis Feature selection

Stick-slip nonuniform rotation distortion correction in distal scanning optical coherence tomography catheters

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Journal of Innovative Optical Health Sciences 2020年第6期3卷 94-101页

作者： Jessica Mavadia-Shukla Jianlin Zhang Kaiyan Li Xingde Li Department of Biomedical Engineering johns hopkins university Baltimore MD 21205USA

We present a robust and fiducial-marker-free algorithm that can identify and correct stick-slip distortion caused by nonuniform rotation(or beam scanning)in distally scanned catheters for endoscopic optical coherence tomography(OCT)*** algorithm employs spatial fre-quency analysis to select and remove *** demonstrate the feasibility of this algorithm on images acquired from ex vivo rat colon with a distally scanned DC motor-based *** proposed algorithm can be applied to general endoscopic OCT images for correcting non-uniform rotation distortion.

关键词： Optical coherence tomography nonuniform rotation distortion correction endoscope distal-scanning

Closed-loop superconducting materials discovery

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npj Computational Materials 2023年第1期9卷 471-478页

作者： Elizabeth A.Pogue Alexander New Kyle McElroy Nam Q.Le Michael J.Pekala Ian McCue Eddie Gienger Janna Domenico Elizabeth Hedrick Tyrel M.McQueen Brandon Wilfong Christine D.Piatko Christopher R.Ratto Andrew Lennon Christine Chung Timothy Montalbano Gregory Bassen Christopher D.Stiles Research and Exploratory Development Department Johns Hopkins University Applied Physics Laboratory11100 Johns Hopkins RoadLaurel 20723 MDUSA Department of Materials Science and Engineering Northwestern University2220 Campus DriveEvanston 60208 ILUSA Department of Materials Science and Engineering Johns Hopkins University3400 N.Charles StreetBaltimore 21218 MDUSA Department of Chemistry Johns Hopkins University3400 N.Charles StreetBaltimore 21218 MDUSA Institute for Quantum Matter William H.Miller III Department of Physics and AstronomyJohns Hopkins University3400 N.Charles StreetBaltimore 21218 MDUSA

Discovery of novel materials is slow but necessary for societal ***,we demonstrate a closed-loop machine learning(ML)approach to rapidly explore a large materials search space,accelerating the intentional discovery of superconducting *** experimentally validating the results of the ML-generated superconductivity predictions and feeding those data back into the ML model to refine,we demonstrate that success rates for superconductor discovery can be more than *** four closed-loop cycles,we report discovery of a superconductor in the Zr-In-Ni system,re-discovery of five superconductors unknown in the training datasets,and identification of two additional phase diagrams of interest for new superconducting *** work demonstrates the critical role experimental feedback provides in ML-driven discovery,and provides a blueprint for how to accelerate materials progress.

关键词： discovery materials loop