Publications by authors named "C-M Chang"

Multiple next-generation molecules targeting estrogen receptor α (ERα) are being investigated in breast cancer clinical trials, encompassing thousands of women globally. Development of these molecules was partly motivated by the discovery of resistance-associated mutations in ESR1 (encodes ERα). Here, we studied the impact of ERα antagonist/degraders against Esr1 mutations expressed in mouse mammary glands.

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Background And Objectives: Mitochondrial encephalomyopathy with lactic acidosis and stroke-like episodes (MELAS) syndrome is a maternally inherited mitochondrial disorder that mostly affects the central nervous system and skeletal muscle. This study provides a comprehensive summary of the clinical symptoms, multisystemic pathogenesis, and genetic characteristics of MELAS syndrome. The aim was to improve comprehension of clinical practice and gain a deeper understanding of the latest pathophysiological theories.

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The effect of Bi-to-metal ion concentration ratio ( / ratio) on key evaluation indicators, including sensitivity, precision, and cathodic potential range, has been investigated for the determination of Cd and Pb at prepared bismuth film electrodes. Unlike the usual recommendation of at least a 10-fold excess of Hg(ii) for anodic stripping experiments at prepared mercury film electrodes, it is found that the / ratios in the 1-10 range are sufficient to obtain a high determination sensitivity, but that the signal decreases significantly when the ratio exceeds 40. Further analysis shows that the precision of the analytical results is good when the / ratio is in the range of 5-10.

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SARS-CoV-2 continues to be a public health burden, driven in-part by its continued antigenic diversification and resulting emergence of new variants. By increasing herd immunity, current vaccines have improved infection outcomes for many. However, prophylactic and treatment interventions that are not compromised by viral evolution of the Spike protein are still needed.

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  • Researchers are merging unstructured patient data with structured health records to create the MSK-CHORD dataset, consisting of varied cancer types from nearly 25,000 patients at Memorial Sloan Kettering Cancer Center.
  • This dataset allows for in-depth analysis of cancer outcomes using advanced techniques like natural language processing, revealing new relationships that smaller datasets may not show.
  • Using MSK-CHORD for machine learning models, findings suggest that incorporating features from these unstructured texts can better predict patient survival than relying solely on genomic data or cancer staging.
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  • * After the infusion, the patient showed improvements such as decreased creatine kinase levels and enhanced muscle strength, with no significant adverse effects like cytokine release syndrome.
  • * The therapy led to a rapid depletion of peripheral B cells within 15 days, and although B cells returned by two months, autoantibodies decreased significantly, indicating a positive immune response.
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Somatic variant detection is an integral part of cancer genomics analysis. While most methods have focused on short-read sequencing, long-read technologies now offer potential advantages in terms of repeat mapping and variant phasing. We present DeepSomatic, a deep learning method for detecting somatic SNVs and insertions and deletions (indels) from both short-read and long-read data, with modes for whole-genome and exome sequencing, and able to run on tumor-normal, tumor-only, and with FFPE-prepared samples.

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Small cell lung carcinoma (SCLC) is a highly aggressive malignancy that is typically associated with tobacco exposure and inactivation of RB1 and TP53 genes. Here, we performed detailed clinicopathologic, genomic, and transcriptomic profiling of an atypical subset of SCLC that lacked RB1 and TP53 co-inactivation and arose in never/light smokers. We found that most cases were associated with chromothripsis-massive, localized chromosome shattering-recurrently involving chromosome 11 or 12 and resulting in extrachromosomal amplification of CCND1 or co-amplification of CCND2/CDK4/MDM2, respectively.

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Epitaxial growth of 2D transition metal dichalcogenides (TMDCs) on sapphire substrates has been recognized as a pivotal method for producing wafer-scale single-crystal films. Both step-edges and symmetry of substrate surfaces have been proposed as controlling factors. However, the underlying fundamental still remains elusive.

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  • A new two-dimensional (2D) SiBN structure, called 2D δ-SiBN, was predicted using density functional theory, showing lower energy and unique double quasi-planar layers compared to previous SiBN nanosheets.
  • The material is a semiconductor with a direct band gap of 1.24 eV and exhibits excellent light absorption in the visible region, suggesting potential for photovoltaic applications with a theoretical efficiency of 27.6%.
  • Additionally, the 2D δ-SiBN monolayer demonstrates significant ferroelectric properties, with a spontaneous out-of-plane electric polarization that is six times greater than similar materials, making it a strong candidate for future information storage and electronic devices.
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  • Hypertension is a major risk factor for serious health conditions, and there’s potential for artificial intelligence (AI) to improve how it's diagnosed and managed.* -
  • AI technologies, particularly machine learning, could personalize treatment and enhance blood pressure monitoring, but effective collaboration among health professionals and data scientists is crucial.* -
  • A workshop by the National Heart, Lung, and Blood Institute highlighted communication gaps in healthcare, innovative methods for managing hypertension, and challenges to implementing AI in real-world settings.*
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Long-read sequencing technology has enabled variant detection in difficult-to-map regions of the genome and enabled rapid genetic diagnosis in clinical settings. Rapidly evolving third-generation sequencing platforms like Pacific Biosciences (PacBio) and Oxford Nanopore Technologies (ONT) are introducing newer platforms and data types. It has been demonstrated that variant calling methods based on deep neural networks can use local haplotyping information with long-reads to improve the genotyping accuracy.

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Evidence has demonstrated that exoskeleton robots can improve intestinal function in patients with spinal cord injury (SCI). However, the underlying mechanisms remain unelucidated. This study investigated the effects of exoskeleton-assisted walking (EAW) on intestinal function and intestinal flora structure in T2-L1 motor complete paraplegia patients.

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Background: Lower socioeconomic status and public insurance lead to a longer delay to surgery and a higher likelihood of concomitant pathology before undergoing anterior cruciate ligament reconstruction (ACLR). However, few studies have examined the influence of community deprivation on ACLR timing and outcomes.

Purpose/hypothesis: The primary aim of this study was to define the effect of the area deprivation index (ADI) and insurance classification on access to orthopaedic care after an ACL rupture, and the secondary aim was to determine whether these variables were associated with a second ACL injury after primary ACLR.

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Background: Angiopoietin-like 3 (ANGPTL3) inhibits lipoprotein and endothelial lipases and hepatic uptake of triglyceride-rich lipoprotein remnants. loss-of-function carriers have lower levels of triglycerides, low-density lipoprotein (LDL) cholesterol, high-density lipoprotein (HDL) cholesterol, and non-HDL cholesterol and a lower risk of atherosclerotic cardiovascular disease than noncarriers. Zodasiran is an RNA interference (RNAi) therapy targeting expression of in the liver.

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We report the measurement of the inclusive cross sections for e^{+}e^{-}→nOCH (where nOCH denotes non-open charm hadrons) with improved precision at center-of-mass (c.m.) energies from 3.

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Background: Persons with mixed hyperlipidemia are at risk for atherosclerotic cardiovascular disease due to an elevated non-high-density lipoprotein (HDL) cholesterol level, which is driven by remnant cholesterol in triglyceride-rich lipoproteins. The metabolism and clearance of triglyceride-rich lipoproteins are down-regulated through apolipoprotein C3 (APOC3)-mediated inhibition of lipoprotein lipase.

Methods: We carried out a 48-week, phase 2b, double-blind, randomized, placebo-controlled trial evaluating the safety and efficacy of plozasiran, a hepatocyte-targeted APOC3 small interfering RNA, in patients with mixed hyperlipidemia (i.

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Inflammation mediated by interleukin-6 (IL-6) is strongly associated with cardiovascular risk. Here we evaluated clazakizumab, a monoclonal antibody targeting the IL-6 ligand, in a phase 2b dose-finding study. Adults with cardiovascular disease and/or diabetes receiving maintenance dialysis with high-sensitivity C-reactive protein (hs-CRP) ≥ 2 mg l at baseline were randomized to receive clazakizumab (2.

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Glucocorticoids are key components of the standard-of-care treatment regimens for B-cell malignancy. However, systemic glucocorticoid treatment is associated with several adverse events. ABBV-319 is a CD19-targeting antibody-drug conjugate engineered to reduce glucocorticoid-associated toxicities while possessing 3 distinct mechanisms of action (MOA) to increase therapeutic efficacy: (1) antibody-mediated delivery of a glucocorticoid receptor modulator (GRM) payload to activate apoptosis, (2) inhibition of CD19 signaling, and (3) enhanced fragment crystallizable (Fc)-mediated effector function via afucosylation of the antibody backbone.

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  • A study conducted between 1998 and 2020 identified 43 new species in diverse ecosystems across Europe, Asia, and the Americas, using genetic analysis to classify them into existing and new subclades within a major clade.
  • The evolutionary history of this clade includes separations before and after the breakup of Gondwana, leading to distinct groups with varying lifestyles, such as soilborne and aerial species.
  • High levels of hybridization were observed in some subclades, indicating that environmental and breeding systems may encourage the emergence of new species, revealing significant gaps in our understanding of potential pathogen threats to ecosystems.
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Background: Evaluating rupture risk in cerebral arteriovenous malformations currently lacks quantitative hemodynamic and angioarchitectural features necessary for predicting subsequent hemorrhage. We aimed to derive rupture-related hemodynamic and angioarchitectural features of arteriovenous malformations and construct an ensemble model for predicting subsequent hemorrhage.

Methods: This retrospective study included 3 data sets, as follows: training and test data sets comprising consecutive patients with untreated cerebral arteriovenous malformations who were admitted from January 2015 to June 2022 and a validation data set comprising patients with unruptured arteriovenous malformations who received conservative treatment between January 2009 and December 2014.

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Atezolizumab (anti-PD-L1), combined with carboplatin and etoposide (CE), is now a standard of care for extensive-stage small-cell lung cancer (ES-SCLC). A clearer understanding of therapeutically relevant SCLC subsets could identify rational combination strategies and improve outcomes. We conduct transcriptomic analyses and non-negative matrix factorization on 271 pre-treatment patient tumor samples from IMpower133 and identify four subsets with general concordance to previously reported SCLC subtypes (SCLC-A, -N, -P, and -I).

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Friedreich's ataxia (FRDA) is an autosomal-recessive disorder primarily attributed to biallelic GAA repeat expansions that reduce expression of the mitochondrial protein frataxin (FXN). FRDA is characterized by progressive neurodegeneration, with many patients developing cardiomyopathy that progresses to heart failure and death. The potential to reverse or prevent progression of the cardiac phenotype of FRDA was investigated in a mouse model of FRDA, using an adeno-associated viral vector (AAV8) containing the coding sequence of the gene.

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Cereblon (CRBN) is an E3 ligase substrate adapter widely exploited for targeted protein degradation (TPD) strategies. However, achieving efficient and selective target degradation is a preeminent challenge with ligands that engage CRBN. Here, we report that the cyclimids, ligands derived from the C-terminal cyclic imide degrons of CRBN, exhibit distinct modes of interaction with CRBN and offer a facile approach for developing potent and selective bifunctional degraders.

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