Citations

Abstract Bipolar disorder (BD) is characterized by disrupted circadian rhythms and neuronal loss. Lithium is neuroprotective and used to treat BD, but outcomes are variable. Past research identified that circadian rhythms in BD patient neurons are associated with lithium response (Li-R) or non-response (Li-NR). However, the underlying cellular mechanisms remain unknown. To study interactions among circadian clock genes and cell survival, and their role in BD and predicting lithium response, we tested selected genes (PER1, BMAL1 and REV-ERBα) and small molecule modulators of ROR/REV-ERB nuclear receptors in models of cell survival using mouse neurons and stem-cell derived neuronal progenitor cells (NPC) from BD patients and controls. In apoptosis assays using staurosporine (STS), lithium was neuroprotective. Knockdown of PER1, BMAL1 and REV-ERBα modified cell survival across models. In NPCs, reduced expression of PER1 and BMAL1 led to more extensive cell death in Li-NR vs. Li-R. Reduced REV-ERBα expression caused more extensive cell death in BD vs. control NPCs, without distinguishing Li-R and Li-NR. In IMHN, The REV-ERB agonist GSK4112 had strong effects on circadian rhythm amplitude, and was neuroprotective in mouse neurons and control NPCs, but not in BD NPCs. Expression of cell survival genes following STS and GSK4112 treatments revealed BD-associated, and Li-R associated differences in expression profiles. We conclude that the neuroprotective response to lithium is similar in NPCs from Li-R and Li-NR. However, knockdown of circadian clock genes or stimulation of REV-ERBs reveal distinct contributions to cell death in BD patient NPCs, some of which distinguish Li-R and Li-NR.

Abstract The American Joint Committee on Cancer (AJCC) staging system for all cancer sites, including gastroenteropancreatic neuroendocrine tumors (GEP‐NETs), is meant to be dynamic, requiring periodic updates to optimize AJCC staging definitions. This entails the collaboration of experts charged with evaluating new evidence that supports changes to each staging system. GEP‐NETs are the second most prevalent neoplasm of gastrointestinal origin after colorectal cancer. Since publication of the AJCC eighth edition, the World Health Organization has updated the classification and separates grade 3 GEP‐NETs from poorly differentiated neuroendocrine carcinoma. In addition, because of major advancements in diagnostic and therapeutic technologies for GEP‐NETs, AJCC version 9 advocates against the use of serum chromogranin A for the diagnosis and monitoring of GEP‐NETs. Furthermore, AJCC version 9 recognizes the increasing role of endoscopy and endoscopic resection in the diagnosis and management of NETs, particularly in the stomach, duodenum, and colorectum. Finally, T1NXM0 has been added to stage I in these disease sites as well as in the appendix.

Introduction: Most of long QT syndrome (LQTS) is explained by pathogenic variants in KCNQ1 , KCNH2 , or SCN5A . However, ~10-20% of LQTS index cases remain genetically elusive following commercial genetic testing. Here, we identified and functionally characterized a novel LQTS genetic substrate in a multi-generational, “genotype negative” LQTS pedigree. Methods: The index case was a 40-year-old female with a history of syncope, seizures, ventricular fibrillation, and a family history of LQTS and sudden death. Although anticipated to have KCNH2- mediated LQT2, commercial genetic testing of all LQTS-causative genes was negative. Genome sequencing and variant analysis was performed on 6 affected family members. Patient-specific and CRISPR/Cas9 “gene-corrected” isogenic control induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) were generated. RT-PCR was used to determine the effects of the identified variant on splicing. Action potential duration (APD) and field potential duration (FPD) were measured using voltage-sensing dye (Fluovolt) and microelectrode array, respectively. Results: No ultra-rare, nonsynonymous heterozygous variants co-segregated among the 6 LQTS phenotype-positive individuals. Instead, a deep intronic KCNH2 variant (c.3331-316 G>T) was present in all affected individuals. RT-PCR analysis of patient-specific iPSC-CM-derived RNA revealed that c.3331-316 G>T creates a novel 89 base-pair exon residing between canonical exons 14 and 15 of KCNH2 that results in a frame-shift variant annotated as p.S1112Pfs*171. The APD 90 was significantly longer in p.S1112Pfs*171-iPSC-CMs (647 ± 12 ms, n=50) compared to isogenic control iPSC-CMs (412 ± 10 ms, n=50, p < 0.0001). Further, the FPD was significantly longer in p.S1112Pfs*171-iPSC-CMs (349 ± 8 ms, n=48) compared to isogenic control iPSC-CMs (209 ± 10 ms, n=20, p < 0.0001). Conclusions: A novel deep intronic KCNH2 variant was identified in a multi-generational genetically elusive LQTS pedigree. The patient-derived and isogenic control iPSC-CMs establish that the p.S1112Pfs*171-KCNH2 variant is the monogenetic cause for this family’s LQTS. As suggested by the phenotype, this family indeed has KCNH2 -mediated LQT2 albeit stemming from a deep intronic variant .

Introduction: Type 2 long QT syndrome (LQT2) is caused by loss-of-function variants in the KCNH2 -encoded K v 11.1 potassium channel which is essential for the rapid delayed rectifier channel (I Kr ) that governs phase 3 of cardiac action potential (AP). No current therapies target the molecular cause of LQT2. Methods: A dual-component “suppression-and-replacement” (SupRep) KCNH2 gene therapy was created by cloning into a single construct a custom-designed KCNH2 shRNA that produces ~80% knockdown (suppression) and a “shRNA-immune” (shIMM) KCNH2 cDNA modified by the introduction of synonymous single nucleotide substitutions within the shRNA target site (replacement). The ability of KCNH2-SupRep gene therapy to suppress and replace LQT2-causative variants in KCNH2 was evaluated via heterologous expression in TSA201 cells. Induced pluripotent stem cell-derived cardiomyocytes (iPSC-CMs) were generated from two patients with LQT2 (KCNH2-G604S and -N633S). CRISPR-Cas9 corrected isogenic control iPSC-CMs were made. Both lines were treated with KCNH2-SupRep or non-targeting control shRNA (shCT). FluoVolt voltage dye was used to measure the APD. Results: KCNH2-SupRep achieved mutation-independent suppression of wild-type KCNH2 and both LQT2-causative variants with simultaneous replacement of KCNH2-shIMM as measured by allele-specific qRT-PCR. Treatment with KCNH2-SupRep resulted in shortening of the pathologically prolonged APD at 90% repolarization (APD 90 ) to near isogenic control APD 90 levels (G604S: isogenic controls, 424 + 39 ms and N633S: isogenic controls, 433 + 16 ms) compared to treatment with non-targeting shCT (G604S: SupRep treated, 399±105 ms vs. shCT treated, 577±39 ms, p<0.0001; N633S: SupRep treated, 432±85 ms vs. shCT treated, 483±65 ms, p<0.005). Conclusions: We provide the first proof-of-principle gene therapy for correction of LQT2. Like our sentinel discovery of SupRep gene therapy for LQT1, KCNH2-SupRep successfully suppressed and replaced KCNH2 to normal wild-type levels. In TSA201 cells, co-transfection of LQT2 variants and KCNH2-SupRep caused mutation-independent suppression-and-replacement of KCNH2 . In LQT2 iPSC-CMs, KCNH2-SupRep shortened the APD, thereby eliminating the pathognomonic feature of LQT2.

Introduction: Loss-of-function (LOF) and gain-of-function (GOF) pathogenic variants in the KCNH2 -encoded Kv11.1 potassium channel cause type 2 long QT syndrome(LQT2) and type 1 short QT syndrome (SQT1), respectively. Given the prevalence of KCNH2- mediated heart disease (1 in 8000 for LQT2,1 in 100,000 for SQT1) and the reduced penetrance/variable expressivity seen in LQTS and SQTS, large databases such as the Genome Aggregation Database (gnomAD, n=141,352 individuals) might harbor subjects with unidentified LQT2/SQT1-causative mutations. Objective: To determine which “ultra-rare” KCNH2 missense variants (MVs) in gnomAD are most likely to be LQT2- or SQT1-causative. Methods: A list of gnomAD-derived MVs in KCNH2 was compiled. The frequency of each MV in gnomAD was assessed. Each MV was analyzed by 8 in silico pathogenicity prediction tools. MVs that were seen once in gnomAD and predicted damaging by all 8 tools were considered possible LQT2/SQT1-causative MVs worthy of functional validation via whole-cell patch clamp. Results: Overall, 233/474 (49%) of gnomAD KCNH2 MVs were seen in just 1 of >140,000 subjects. Of these, 2 (0.4%) MVs (S320W, S379Y) were predicted damaging by 8 in silico tools. Both S320W and S379Y localize to the N-terminus of the Kv11.1 potassium channel. There was no significant change in peak or tail current density between heterozygously expressed KCNH2-S320W (n=13, p=NS) and KCNH2-WT (n=13). However, heterozygous KCNH2-S379Y (n=12) produced a marked increase in peak current density across the range -30 mV to +20 mV and shifted the V 1/2 of activation by -17 mV (p < 0.001). Also, tail current density of S379Y channels significantly increased across the range -20 mV to +20 mV and the V 1/2 of deactivation shifted by -26 mV (p < 0.001). Conclusion: With this stringent requirement of ultra-rarity, universal prediction of damaging impact, and functionally abnormal electrophysiological properties, one SQT1-causative pathogenic variant in gnomAD was identified consistent with the predicted frequency of SQTS. The search continues among the remaining 32 ultra-rare MVs in KCNH2 where at least 75% of the in silico tools predicted deleterious impact of the MV to find the 15-20 subjects in gnomAD’s population who ought to have an LQT2-causative MV.