Your browser doesn't support javascript.
loading
: 20 | 50 | 100
1 - 20 de 45
1.
IEEE Trans Biomed Eng ; 71(6): 1841-1852, 2024 Jun.
Article En | MEDLINE | ID: mdl-38224519

OBJECTIVE: Magnetic Resonance Spectroscopy (MRS) is an important technique for biomedical detection. However, it is challenging to accurately quantify metabolites with proton MRS due to serious overlaps of metabolite signals, imperfections because of non-ideal acquisition conditions, and interference with strong background signals mainly from macromolecules. The most popular method, LCModel, adopts complicated non-linear least square to quantify metabolites and addresses these problems by designing empirical priors such as basis-sets, imperfection factors. However, when the signal-to-noise ratio of MRS signal is low, the solution may have large deviation. METHODS: Linear Least Squares (LLS) is integrated with deep learning to reduce the complexity of solving this overall quantification. First, a neural network is designed to explicitly predict the imperfection factors and the overall signal from macromolecules. Then, metabolite quantification is solved analytically with the introduced LLS. In our Quantification Network (QNet), LLS takes part in the backpropagation of network training, which allows the feedback of the quantification error into metabolite spectrum estimation. This scheme greatly improves the generalization to metabolite concentrations unseen in training compared to the end-to-end deep learning method. RESULTS: Experiments show that compared with LCModel, the proposed QNet, has smaller quantification errors for simulated data, and presents more stable quantification for 20 healthy in vivo data at a wide range of signal-to-noise ratio. QNet also outperforms other end-to-end deep learning methods. CONCLUSION: This study provides an intelligent, reliable and robust MRS quantification. SIGNIFICANCE: QNet is the first LLS quantification aided by deep learning.


Deep Learning , Magnetic Resonance Spectroscopy , Signal-To-Noise Ratio , Humans , Magnetic Resonance Spectroscopy/methods , Macromolecular Substances/metabolism , Macromolecular Substances/analysis , Least-Squares Analysis , Signal Processing, Computer-Assisted , Brain/diagnostic imaging , Brain/metabolism , Algorithms
2.
J Magn Reson ; 358: 107601, 2024 Jan.
Article En | MEDLINE | ID: mdl-38039654

Magnetic resonance spectroscopy (MRS) is an important clinical imaging method for diagnosis of diseases. MRS spectrum is used to observe the signal intensity of metabolites or further infer their concentrations. Although the magnetic resonance vendors commonly provide basic functions of spectrum plots and metabolite quantification, the spread of clinical research of MRS is still limited due to the lack of easy-to-use processing software or platform. To address this issue, we have developed CloudBrain-MRS, a cloud-based online platform that provides powerful hardware and advanced algorithms. The platform can be accessed simply through a web browser, without the need of any program installation on the user side. CloudBrain-MRS also integrates the classic LCModel and advanced artificial intelligence algorithms and supports batch preprocessing, quantification, and analysis of MRS data from different vendors. Additionally, the platform offers useful functions: (1) Automatically statistical analysis to find biomarkers for diseases; (2) Consistency verification between the classic and artificial intelligence quantification algorithms; (3) Colorful three-dimensional visualization for easy observation of individual metabolite spectrum. Last, data of both healthy subjects and patients with mild cognitive impairment are used to demonstrate the functions of the platform. To the best of our knowledge, this is the first cloud computing platform for in vivo MRS with artificial intelligence processing. We have shared our cloud platform at MRSHub, providing at least two years of free access and service. If you are interested, please visit https://mrshub.org/software_all/#CloudBrain-MRS or https://csrc.xmu.edu.cn/CloudBrain.html.


Artificial Intelligence , Cloud Computing , Humans , Magnetic Resonance Spectroscopy/methods , Magnetic Resonance Imaging/methods , Software
3.
Org Lett ; 25(51): 9231-9236, 2023 12 29.
Article En | MEDLINE | ID: mdl-38105532

A palladium/norbornene (NBE) cooperative catalytic system was developed to access C5-aminated indoles, starting from readily available C4-idonated indoles. Good yields and exclusive site selectivity were achieved for a broad substrate scope, including drug molecule core architectures. Control experiments found that both aldehyde on the C3 position and sulfonyl protecting group on the N1 position were vital for the transformation. Preliminary bioactivity evaluation identified a promising leading compound 3af with potent antitumor proliferative activity against several cancer cells.


Aldehydes , Indoles , Indoles/chemistry , Palladium/chemistry , Catalysis
4.
J Org Chem ; 88(20): 14435-14444, 2023 Oct 20.
Article En | MEDLINE | ID: mdl-37768003

A novel palladium-catalyzed intermolecular dearomatization of furans with alkynes via a three-component formal [3 + 2] spiroannulation/allylic substitution cascade reaction has been successfully developed for the stereoselective assembly of spiro 2,5-dihydrofuran frameworks. High step economy and efficacy as well as excellent stereoselectivity were achieved for a broad substrate scope. Two new C-C bonds and one new C-O bond were generated sequentially in a one-pot manipulation. The yielded spiro 2,5-dihydrofuran skeleton bearing a tetrasubstituted carbon center constitutes the core structure for plenty of useful natural products or corresponding analogues. This work represents a significant advancement in the dearomatization strategy for furan heterocycles and provides a practical methodology for expedited access to complex spiro dihydrofuran scaffolds.

5.
bioRxiv ; 2023 Jul 25.
Article En | MEDLINE | ID: mdl-37546963

In mammalian hearts myocardial infarction produces a permanent collagen-rich scar. Conversely, in zebrafish a collagen-rich scar forms but is completely resorbed as the myocardium regenerates. The formation of cross-links in collagen hinders its degradation but cross-linking has not been well characterized in zebrafish hearts. Here, a library of fluorescent probes to quantify collagen oxidation, the first step in collagen cross-link (CCL) formation, was developed. Myocardial injury in mice or zebrafish resulted in similar dynamics of collagen oxidation in the myocardium in the first month after injury. However, during this time, mature CCLs such as pyridinoline and deoxypyridinoline developed in the murine infarcts but not in the zebrafish hearts. High levels of newly oxidized collagen were still seen in murine scars with mature CCLs. These data suggest that fibrogenesis remains dynamic, even in mature scars, and that the absence of mature CCLs in zebrafish hearts may facilitate their ability to regenerate.

6.
J Org Chem ; 88(7): 4345-4351, 2023 Apr 07.
Article En | MEDLINE | ID: mdl-36898142

Direct C-H amidation of α-ketoesters was accomplished using various organic azides as the amino source through the combination of transient directing group strategy and iridium catalysis. Excellent functional group tolerance and wide substrate scope were explored under simple and mild conditions. Importantly, it was found that the steric hindrance of the ester moiety played a pivotal role for the reaction efficacy. In addition, the reaction could be enlarged to gram scale, and several useful heterocycles were readily constructed via one-step late-stage derivatization.

7.
IEEE Trans Neural Netw Learn Syst ; 34(10): 7578-7592, 2023 10.
Article En | MEDLINE | ID: mdl-35120010

The nonuniform sampling (NUS) is a powerful approach to enable fast acquisition but requires sophisticated reconstruction algorithms. Faithful reconstruction from partially sampled exponentials is highly expected in general signal processing and many applications. Deep learning (DL) has shown astonishing potential in this field, but many existing problems, such as lack of robustness and explainability, greatly limit its applications. In this work, by combining the merits of the sparse model-based optimization method and data-driven DL, we propose a DL architecture for spectra reconstruction from undersampled data, called MoDern. It follows the iterative reconstruction in solving a sparse model to build the neural network, and we elaborately design a learnable soft-thresholding to adaptively eliminate the spectrum artifacts introduced by undersampling. Extensive results on both synthetic and biological data show that MoDern enables more robust, high-fidelity, and ultrafast reconstruction than the state-of-the-art methods. Remarkably, MoDern has a small number of network parameters and is trained on solely synthetic data while generalizing well to biological data in various scenarios. Furthermore, we extend it to an open-access and easy-to-use cloud computing platform (XCloud-MoDern), contributing a promising strategy for further development of biological applications.


Algorithms , Neural Networks, Computer , Tomography, X-Ray Computed/methods , Spectrum Analysis , Signal Processing, Computer-Assisted , Image Processing, Computer-Assisted/methods
8.
J Org Chem ; 87(16): 10807-10814, 2022 08 19.
Article En | MEDLINE | ID: mdl-35921192

An expeditious construction of an unsymmetrical tertiary 9-fluorenol skeleton was accomplished starting from readily available α-ketoester and aryl iodide. Inexpensive commercially available substituted aniline was utilized as a potent monodentate transient directing group (TDG) to assist palladium-catalyzed direct ortho-C-H arylation and tandem dual C-H activation of α-ketoesters to form two carbon-carbon bonds. To demonstrate practical applications, the reaction was enlarged to the gram scale, and subsequent one-step derivatization allowed facile access to structurally diversified useful derivatives. A series of control experiments were carried out to shed light on the possible catalytic mechanism.


Carbon , Palladium , Carbon/chemistry , Catalysis , Molecular Structure , Palladium/chemistry
9.
Nat Cardiovasc Res ; 1(7): 649-664, 2022 Jul.
Article En | MEDLINE | ID: mdl-36034743

Sudden cardiac death, arising from abnormal electrical conduction, occurs frequently in patients with coronary heart disease. Myocardial ischemia simultaneously induces arrhythmia and massive myocardial leukocyte changes. In this study, we optimized a mouse model in which hypokalemia combined with myocardial infarction triggered spontaneous ventricular tachycardia in ambulatory mice, and we showed that major leukocyte subsets have opposing effects on cardiac conduction. Neutrophils increased ventricular tachycardia via lipocalin-2 in mice, whereas neutrophilia associated with ventricular tachycardia in patients. In contrast, macrophages protected against arrhythmia. Depleting recruited macrophages in Ccr2 -/- mice or all macrophage subsets with Csf1 receptor inhibition increased both ventricular tachycardia and fibrillation. Higher arrhythmia burden and mortality in Cd36 -/- and Mertk -/- mice, viewed together with reduced mitochondrial integrity and accelerated cardiomyocyte death in the absence of macrophages, indicated that receptor-mediated phagocytosis protects against lethal electrical storm. Thus, modulation of leukocyte function provides a potential therapeutic pathway for reducing the risk of sudden cardiac death.

10.
Inflammation ; 45(1): 297-307, 2022 Feb.
Article En | MEDLINE | ID: mdl-34613549

Proinflammatory mediators such as interleukin (IL)-1ß cause retinal pigment epithelium (RPE) inflammation, which is related to visual deterioration, including age-related macular degeneration and diabetic retinopathy. Oleuropein is a polyphenol compound that shows potent anti-inflammatory, antioxidant, and anti-cancer activities, but its effects on IL-1ß-induced inflammation have not been examined in the adult RPE cell line ARPE-19. Here, we assessed the ability of oleuropein to attenuate this inflammation in ARPE-19 cells. IL-1ß induced secretion of the inflammatory cytokines IL-6, monocyte chemoattractant protein-1 (MCP)-1, and soluble intercellular adhesion molecule (sICAM)-1. As measured by enzyme-linked immunosorbent assay, oleuropein significantly inhibited levels of all three proteins and led to decreased monocyte adhesiveness to ARPE-19 cells. To clarify the underlying anti-inflammatory mechanisms, we used western blots to evaluate the effect of oleuropein on inactivation of the nuclear factor-kappa B (NF-κB) and mitogen-activated protein kinase (MAPK) signaling pathways. The results showed that oleuropein significantly decreased levels of the inflammatory mediator cyclooxygenase-2 and increased anti-inflammatory protein HO-1 expression. We next examined if the anti-inflammatory activity of oleuropein arises via inactivated NF-κB. We found that suppressing phosphorylation of the JNK1/2 and p38 MAPK signaling pathways inhibited IL-6, MCP-1, and sICAM-1 secretion, implicating these pathways and NF-κB suppression in the effects of oleuropein. These results indicate that oleuropein shows potential for the prevention and treatment of inflammatory diseases of the retina.


Anti-Inflammatory Agents/pharmacology , Epithelial Cells/drug effects , Iridoid Glucosides/pharmacology , Mitogen-Activated Protein Kinase Kinases/metabolism , NF-kappa B/metabolism , Retinal Pigment Epithelium/drug effects , Retinitis/drug therapy , Adult , Anti-Inflammatory Agents/therapeutic use , Biomarkers/metabolism , Cell Line , Epithelial Cells/metabolism , Humans , Interleukin-1beta , Iridoid Glucosides/therapeutic use , Retinal Pigment Epithelium/metabolism , Retinitis/chemically induced , Retinitis/metabolism , Signal Transduction/drug effects
11.
Bioorg Chem ; 119: 105569, 2022 02.
Article En | MEDLINE | ID: mdl-34954572

Isocitrate dehydrogenases 1 (IDH1) catalyzes the oxidative decarboxylation of isocitrate to ɑ-ketoglutaric acid (α-KG). It is the most frequently mutated metabolic gene in human cancer and its mutations interfere with cell metabolism and epigenetic regulation, thus promoting tumorigenesis. In order to discover potent new mutant IDH1 inhibitors, based on the structure of marketed inhibitor AG-120 (Ivosidenib), we designed, synthesized and evaluated a series of linear unnatural peptide analogues via Ugi reaction, as potential mutant IDH1 inhibitors. All these compounds were evaluated for their inhibition on mutant IDH1 enzyme activity. The structure-activity relationship was discussed on the basis of experimental data, with an attempt to pave the way for future studies. Among them, 43 exhibited potent and selective enzyme inhibitory activity, and showed strong binding affinity with mutant IDH1. It can decrease the cellular concentration of 2-HG, and suppress the proliferation of HT1080 and IDH1 mutant-U-87 cells by selectively inhibiting the activity of mutant IDH1.


Antineoplastic Agents/pharmacology , Drug Discovery , Enzyme Inhibitors/pharmacology , Isocitrate Dehydrogenase/antagonists & inhibitors , Peptides/pharmacology , Antineoplastic Agents/chemical synthesis , Antineoplastic Agents/chemistry , Apoptosis/drug effects , Cell Proliferation/drug effects , Dose-Response Relationship, Drug , Drug Screening Assays, Antitumor , Enzyme Inhibitors/chemical synthesis , Enzyme Inhibitors/chemistry , Humans , Isocitrate Dehydrogenase/genetics , Isocitrate Dehydrogenase/metabolism , Molecular Structure , Mutation , Peptides/chemical synthesis , Peptides/chemistry , Structure-Activity Relationship , Tumor Cells, Cultured
12.
Annu Int Conf IEEE Eng Med Biol Soc ; 2021: 3289-3292, 2021 11.
Article En | MEDLINE | ID: mdl-34891943

Machine learning and artificial intelligence have shown remarkable performance in accelerated magnetic resonance imaging (MRI). Cloud computing technologies have great advantages in building an easily accessible platform to deploy advanced algorithms. In this work, we develop an open-access, easy-to-use and high-performance medical intelligence cloud computing platform (XCloud-pFISTA) to reconstruct MRI images from undersampled k-space data. Two state-of-the-art approaches of the Projected Fast Iterative Soft-Thresholding Algorithm (pFISTA) family have been successfully implemented on the cloud. This work can be considered as a good example of cloud-based medical image reconstruction and may benefit the future development of integrated reconstruction and online diagnosis system.


Artificial Intelligence , Image Processing, Computer-Assisted , Algorithms , Intelligence , Magnetic Resonance Imaging
13.
J Org Chem ; 86(23): 17244-17248, 2021 12 03.
Article En | MEDLINE | ID: mdl-34807586

The development of a novel environmental benign and sustainable synthetic method for highly efficient construction and direct C-H functionalization of N-heterocycles remains a pivotal central research topic for organic and medicinal chemistry. Herein, a novel visible-light-enabled biomimetic aza-6π electrocyclization for efficient assembly of diverse pyridines and further tandem Minisci-type reaction were developed. A broad spectrum of polysubstituted picolinaldehydes were readily constructed with high efficacy and good functional group tolerance under metal- and oxidant-free conditions.


Light , Pyridines , Catalysis , Metals
14.
Org Lett ; 23(23): 9184-9188, 2021 12 03.
Article En | MEDLINE | ID: mdl-34787425

The first palladium-catalyzed direct o-C-H iodination of benzaldehydes was successfully developed with the assistance of commercially available 2,5-bis(trifluoromethyl)aniline as the optimal monodentate transient directing group (MonoTDG). Moderate to excellent yields and good selectivity were achieved for a broad substrate scope under mild conditions. More importantly, the synthetic application was demonstrated by a concise two-step total synthesis of the natural product hernandial, which was accomplished by merging this new MonoTDG-assisted C-H iodination and subsequent copper-catalyzed cross-coupling.

15.
Org Lett ; 23(21): 8402-8406, 2021 11 05.
Article En | MEDLINE | ID: mdl-34664971

A unified method for direct C4-H halogenation of indoles has been accomplished with the assistance of anthranilic acids as suitable transient directing groups. Exclusive site selectivity (one out of five potential reactive sites) as well as good functional group tolerance was obtained to install three kinds of halogen atoms (Cl, Br and I, respectively) by using inexpensive N-halosuccinimides (NXS) as halogen sources under mild conditions. Taking advantage of the rich functional groups in the product, a diversity of nitrogen-containing heterocycles were facily constructed via one-step late-stage derivations.

17.
J Med Chem ; 64(11): 7839-7852, 2021 06 10.
Article En | MEDLINE | ID: mdl-34038131

Inspired by the success of dual-targeting drugs, especially bispecific antibodies, we propose to combine the concept of proteolysis targeting chimera (PROTAC) and dual targeting to design and synthesize dual PROTAC molecules with the function of degrading two completely different types of targets simultaneously. A library of novel dual-targeting PROTAC molecules has been rationally designed and prepared. A convergent synthetic strategy has been utilized to achieve high synthetic efficiency. These dual PROTAC structures are characterized using trifunctional natural amino acids as star-type core linkers to connect two independent inhibitors and E3 ligands together. In this study, gefitinib, olaparib, and CRBN or VHL E3 ligands were used as substrates to synthesize novel dual PROTACs. They successfully degraded both the epidermal growth factor receptor (EGFR) and poly(ADP-ribose) polymerase (PARP) simultaneously in cancer cells. Being the first successful example of dual PROTACs, this technique will greatly widen the range of application of the PROTAC method and open up a new field for drug discovery.


Drug Design , ErbB Receptors/metabolism , Poly(ADP-ribose) Polymerases/metabolism , Proteasome Endopeptidase Complex/metabolism , Protein Kinase Inhibitors/pharmacology , Proteolysis/drug effects , Adaptor Proteins, Signal Transducing/chemistry , Adaptor Proteins, Signal Transducing/metabolism , Cell Line, Tumor , Cell Survival/drug effects , Gefitinib/chemistry , Humans , Ligands , Phthalazines/chemistry , Piperazines/chemistry , Proteasome Endopeptidase Complex/genetics , Protein Kinase Inhibitors/chemical synthesis , Protein Kinase Inhibitors/chemistry , Recombinant Proteins/biosynthesis , Recombinant Proteins/isolation & purification , Recombinant Proteins/metabolism , Ubiquitin-Protein Ligases/chemistry , Ubiquitin-Protein Ligases/metabolism
18.
Org Lett ; 23(10): 3923-3927, 2021 05 21.
Article En | MEDLINE | ID: mdl-33938757

2-Fluoro-5-(trifluoromethyl)aniline was found to be a suitable monodentate transient directing group (MonoTDG) to enable Ru(II)-catalyzed intermolecular direct ortho-C(sp2)-H imidation of benzaldehydes. N-Tosyloxyphthalimide was used as an alternative azide-free amidation reagent to achieve high efficiency and good functional group tolerance. Moreover, the reaction could be enlarged to gram scale, and the amidated product could be readily converted into useful quinazoline and fused isoindolinone scaffolds by one-step derivatization.

19.
Org Lett ; 23(9): 3343-3348, 2021 May 07.
Article En | MEDLINE | ID: mdl-33843238

A novel copper-catalyzed cycloisomerization of unactivated allene-tethered O-propargyl oximes has been developed for the synthesis of hexahydropyrrolo[3,4-b]azepin-5(4H)-ones. This one-pot domino reaction proceeds via a [2,3]-sigmatropic rearrangement, a [3 + 2] cycloaddition, and another [3,3]-sigmatropic rearrangement. The methodology offers a practical and straightforward route for the rapid assembly of both ring components of the fused bicyclic motifs from acyclic precursors by simultaneously forming four new bonds (a C═O, a C═N, and two C-C bonds) in a single step.

20.
Bioorg Chem ; 110: 104788, 2021 05.
Article En | MEDLINE | ID: mdl-33706076

Protein tyrosine phosphatase SHP2 is a member of PTPs family associated with cancer such as leukemia, non-small cell lung cancer, breast cancer, and so on. SHP2 is a promising target for drug development, and consequently it is of great significance to develop SHP2 inhibitors. Herein, we report CRBN-recruiting PROTAC molecules targeting SHP2 by connecting pomalidomide with SHP099, an allosteric inhibitor of SHP2. Among them, SP4 significantly inhibited the growth of Hela cells, compared with SHP099, its activity increased 100 times. In addition, it can significantly induce SHP2 degradation and cell apoptosis. Further study of SHP2-protac may have important significance for the treatment of SHP2 related diseases.


Enzyme Inhibitors/pharmacology , Piperidines/pharmacology , Protein Tyrosine Phosphatase, Non-Receptor Type 11/antagonists & inhibitors , Pyrimidines/pharmacology , Thalidomide/analogs & derivatives , Cell Cycle/drug effects , Cell Survival/drug effects , Cells, Cultured , Dose-Response Relationship, Drug , Enzyme Inhibitors/chemical synthesis , Enzyme Inhibitors/chemistry , Humans , Molecular Docking Simulation , Molecular Structure , Piperidines/chemistry , Protein Tyrosine Phosphatase, Non-Receptor Type 11/metabolism , Pyrimidines/chemistry , Structure-Activity Relationship , Thalidomide/chemistry , Thalidomide/pharmacology
...