Cardiac arrhythmias are associated with poorer outcomes in patients with heart failure (HF), diabetes mellitus (DM), and chronic kidney disease (CKD). Previous studies have shown inconsistent ...conclusions regarding the association between sodium-glucose cotransporter 2 inhibitors (SGLT2i) and the risk of developing arrhythmias. This study aims to investigate the association of SGLT2i treatment with arrhythmia outcomes in clinical trials of patients with HF, DM, or CKD.
MEDLINE, EMBASE, and ClinicalTrials.gov were searched from inception up to 27 August 2020. Randomized controlled trials that randomized patients with DM, CKD, or HF to SGLT2i or placebo were included. The outcomes of interest include atrial fibrillation (AF), embolic stroke, atrial flutter (AFL), AF/AFL, ventricular tachycardia (VT), and cardiac arrest. Relative risks (RRs) and 95% confidence intervals (CI) were pooled using a random-effects model.
Out of 4,532 citations, 22 trials with altogether 52,115 patients were included (mean age 63.2 years; 33,747 64.8% of participants were men). SGLT2i were associated with a lower risk of AF (RR 0.82, 95% CI 0.70-0.96), embolic stroke (RR 0.32, 95% CI 0.12-0.85), AF/AFL (RR 0.82, 95% CI 0.71-0.95), and VT (RR 0.73, 95% CI 0.53-0.99), while the risk reductions in AFL (RR 0.83, 95% CI 0.58-1.17) and cardiac arrest (RR 0.83, 95% CI 0.61-1.14) did not reach statistical significance. The associations appeared to be consistent across different baseline conditions (DM vs CKD vs HF; atherosclerotic cardiovascular disease ASCVD vs no ASCVD) and the SGLT2i used.
SGLT2i reduced the risk of cardiac arrhythmias. Our study provides further evidence for recommending the use of SGLT2i in patients with DM, CKD, and HF. Further research is needed to fully elucidate the mechanism by which SGLT2i protect against arrhythmias.
Gastric cancer displays marked molecular heterogeneity with aggressive behavior and treatment resistance. Therefore, good in vitro models that encompass unique subtypes are urgently needed for ...precision medicine development. Here, we have established a primary gastric cancer organoid (GCO) biobank that comprises normal, dysplastic, cancer, and lymph node metastases (n = 63) from 34 patients, including detailed whole-exome and transcriptome analysis. The cohort encompasses most known molecular subtypes (including EBV, MSI, intestinal/CIN, and diffuse/GS, with CLDN18-ARHGAP6 or CTNND1-ARHGAP26 fusions or RHOA mutations), capturing regional heterogeneity and subclonal architecture, while their morphology, transcriptome, and genomic profiles remain closely similar to in vivo tumors, even after long-term culture. Large-scale drug screening revealed sensitivity to unexpected drugs that were recently approved or in clinical trials, including Napabucasin, Abemaciclib, and the ATR inhibitor VE-822. Overall, this new GCO biobank, with linked genomic data, provides a useful resource for studying both cancer cell biology and precision cancer therapy.
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•Living biobank includes 17 normal and 46 gastric cancer organoid lines•Organoid biobank encompasses most of the known molecular subtypes of gastric cancer•Organoids recapitulate the genomic and transcriptomic features of original tumors•High-throughput screen revealed potential target drugs for personalized therapy
Leung and colleagues established a biobank of patient-derived gastric cancer organoids that encompasses a diverse array of subtypes and maintained long-term similarity to the original tumors. They used the organoids to perform large-scale drug screening that identified potential target drugs and could guide patient drug selection.
Highlights • Lixisenatide, a novel drug treatment for diabetes, shows neuroprotective effects. • Lixisenatide prevented the Aβ25–35 induced impairment in spatial learning. • The drug prevented the ...Aβ25–35 induced block of LTP in the hippocampus. • The drug inhibited the Aβ25–35 induced activation of glycogen synthase kinase 3β.
Sporadic early-onset colorectal cancer (EOCRC) has bad prognosis, yet is poorly represented by cell line models. We examine the key mutational and transcriptomic alterations in an organoid biobank ...enriched in EOCRCs.
We established paired cancer (n=32) and normal organoids (n=18) from 20 patients enriched in microsatellite-stable EOCRC. Exome and transcriptome analysis was performed.
We observed a striking diversity of molecular phenotypes, including
fusions. Transcriptionally,
fusion organoids resembled normal colon organoids and were distinct from
mutant organoids, with high
and low
expression. Single cell transcriptome analysis confirmed the similarity between
fusion organoids and normal organoids, with a propensity for maturation on Wnt withdrawal, whereas the
mutant organoids were locked in progenitor stages. CRISPR/Cas9 engineered mutation of
in normal human colon organoids led to upregulation of PTK7 protein and suppression of
, but less so with an engineered
mutation. The frequent co-occurrence of
fusions with
or
mutation was confirmed in TCGA database searches.
mutation was found in organoid from a leukaemia survivor with a novel mutational signature; and organoids with POLE proofreading mutation displayed ultramutation. The cancer organoid genomes were stable over long culture periods, while normal human colon organoids tended to be subject to clonal dominance over time.
These organoid models enriched in EOCRCs with linked genomic data fill a gap in existing CRC models and reveal distinct genetic profiles and novel pathway cooperativity.
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