Two-pronged kill mechanism at the end-Triassic mass extinction

High-resolution biomarker and compound-specific isotope distributions coupled with the degradation of calcareous fossil remnants reveal that intensive euxinia and decalcification (acidification) driven by Central Atlantic magmatic province (CAMP) activity formed a twopronged kill mechanism at the end-Triassic mass extinction. In a newly proposed extinction interval for the basal Blue Lias Formation (Bristol Channel Basin, UK), biomarker distributions reveal an episode of persistent photic zone euxinia (PZE) that extended further upward into the surface waters. In the same interval, shelly taxa almost completely disappear. Beginning in the basal paper shales of the Blue Lias Formation, a Lilliput assemblage is preserved consisting of only rare calcitic oysters (Liostrea) and ghost fossils of decalcified aragonitic bivalves. The stressors of PZE and decalcification parsimoniously explain the extinction event and inform possible combined causes of other biotic crises linked to emplacement of large igneous provinces, notably the end-Permian mass extinction, when PZE occurred on a broad and perhaps global scal

Economic commentary [March 2024]

Poor but improving: economy slowly recovers in line with expectations Economic data in early 2024 is showing that the economy is likely to be recovering hesitantly as expected, following the contractions in growth in the final part of 2023. This comes in the latest economic assessment from the Fraser of Allander Institute at Strathclyde University. The Institute’s quarterly Economic Commentary, which includes an assessment of all the latest key data on the UK and Scottish economies, is published today. In the Deloitte-sponsored Economic Commentary, the University of Strathclyde researchers have set out their latest forecasts for the Scottish Economy. The economists are forecasting growth of 0.6% in 2024, 1.1% in 2025 and 1.2% in 2026. These forecasts are unchanged from the previous assessment. Bright spots for the UK as a whole can be seen in the inflation data, with the latest showing that Consumer Price Inflation fell to 3.4% in February, adding to hopes that interest rate cuts are likely to be coming over the course of 2024. January GDP data for the UK also shows growth after a poor end to 2024. In Scotland, consumer sentiment has risen 4.8 points over the last quarter and 23 points over the year, indicating a significant improvement in sentiment across Scotland. However, most indicators remain in negative territory (i.e. more people being negative than positive about their circumstances) reflecting the challenging economic and financial pressures facing households. The latest assessment from the Fraser of Allander includes a real-time earnings tracker, a focus on the implications of the changes to the national minimum wage being introduced in April 2024, and an analysis of the major public policy priorities for citizens in Scotland. These include health care and the NHS, inequality & poverty, housing and cost of living. Professor Mairi Spowage, Director of the Institute, said “The mixed bag of economic news we are seeing for both Scotland and the UK at the moment could give reasons for either pessimism or optimism. “On the one hand, the economy returning to growth in January and inflation falling faster than expected support our view that we will return to growth in 2024 overall. On the other hand, this growth is fragile and may be blown off course by events, particularly given geopolitical uncertainty this year. “Our report chimes with other data released today by the Scottish Chambers of Commerce, which also shows businesses displaying confidence and resilience in the face of challenges.” Douglas Farish, Head of Tax for Scotland at Deloitte, said “Although it’s encouraging that Scotland avoided a technical recession in the latter half of last year, this quarter’s Economic Commentary still paints an ambivalent view of the nation’s current economic position, with overall growth lacklustre in 2023.” “The cost-of-living crisis continues to take a toll on household finances, and our latest State of the State report found that 60 per cent of the Scottish public believe the crisis will get worse still, albeit dropping from 75 per cent last year.“ The Institute’s quarterly commentary also includes analysis of implications of the UK Budget on 6th March for Scotland, including the second National Insurance cut, the impact of the overall tax burden, and the impact of UK Government spending decisions on the Scottish Government’s Budget. João Sousa, Deputy Director of the Institute, said: “The lack of significant changes on resource and capital departmental spending further confirms the tough fiscal environment for the Scottish Government, and this will become apparent again when Deputy First Minister Shona Robison presents the Medium-Term Financial Strategy (MTFS) on 30 May. “The 2023 MTFS had a £2.4 billion shortfall in funding built in for 2025-26, and with so much of the £1.5 billion shortfall in 2024-25 being filled by delaying projects, more difficult decisions are likely to be on the way. “This is not to say that the Scottish Government will not receive any additional spending consequentials from the UK Budget on 6th March. £295m in Barnett consequentials was generated for 2024-25 from the chancellor’s announcements.

Potassium channel gene mutations rarely cause atrial fibrillation

BACKGROUND: Mutations in several potassium channel subunits have been associated with rare forms of atrial fibrillation. In order to explore the role of potassium channels in inherited typical forms of the arrhythmia, we have screened a cohort of patients from a referral clinic for mutations in the channel subunit genes implicated in the arrhythmia. We sought to determine if mutations in KCNJ2 and KCNE1-5 are a common cause of atrial fibrillation. METHODS: Serial patients with lone atrial fibrillation or atrial fibrillation with hypertension were enrolled between June 1, 2001 and January 6, 2005. Each patient underwent a standardized interview and physical examination. An electrocardiogram, echocardiogram and blood sample for genetic analysis were also obtained. Patients with a family history of AF were screened for mutations in KCNJ2 and KCNE1-5 using automated sequencing. RESULTS: 96 patients with familial atrial fibrillation were enrolled. Eighty-three patients had lone atrial fibrillation and 13 had atrial fibrillation and hypertension. Patients had a mean age of 56 years at enrollment and 46 years at onset of atrial fibrillation. Eighty-one percent of patients had paroxysmal atrial fibrillation at enrollment. Unlike patients with an activating mutation in KCNQ1, the patients had a normal QT(c )interval with a mean of 412 ± 42 ms. Echocardiography revealed a normal mean ejection fraction of 62.0 ± 7.2 % and mean left atrial dimension of 39.9 ± 7.0 mm. A number of common polymorphisms in KCNJ2 and KCNE1-5 were identified, but no mutations were detected. CONCLUSION: Mutations in KCNJ2 and KCNE1-5 rarely cause typical atrial fibrillation in a referral clinic population

Large-scale genome-wide analysis identifies genetic variants associated with cardiac structure and function

BACKGROUND: Understanding the genetic architecture of cardiac structure and function may help to prevent and treat heart disease. This investigation sought to identify common genetic variations associated with inter-individual variability in cardiac structure and function. METHODS: A GWAS meta-analysis of echocardiographic traits was performed, including 46,533 individuals from 30 studies (EchoGen consortium). The analysis included 16 traits of left ventricular (LV) structure, and systolic and diastolic function. RESULTS: The discovery analysis included 21 cohorts for structural and systolic function traits (n = 32,212) and 17 cohorts for diastolic function traits (n = 21,852). Replication was performed in 5 cohorts (n = 14,321) and 6 cohorts (n = 16,308), respectively. Besides 5 previously reported loci, the combined meta-analysis identified 10 additional genome-wide significant SNPs: rs12541595 near MTSS1 and rs10774625 in ATXN2 for LV end-diastolic internal dimension; rs806322 near KCNRG, rs4765663 in CACNA1C, rs6702619 near PALMD, rs7127129 in TMEM16A, rs11207426 near FGGY, rs17608766 in GOSR2, and rs17696696 in CFDP1 for aortic root diameter; and rs12440869 in IQCH for Doppler transmitral A-wave peak velocity. Findings were in part validated in other cohorts and in GWAS of related disease traits. The genetic loci showed associations with putative signaling pathways, and with gene expression in whole blood, monocytes, and myocardial tissue. CONCLUSION: The additional genetic loci identified in this large meta-analysis of cardiac structure and function provide insights into the underlying genetic architecture of cardiac structure and warrant follow-up in future functional studies. FUNDING: For detailed information per study, see Acknowledgments.This work was supported by a grant from the US National Heart, Lung, and Blood Institute (N01-HL-25195; R01HL 093328 to RSV), a MAIFOR grant from the University Medical Center Mainz, Germany (to PSW), the Center for Translational Vascular Biology (CTVB) of the Johannes Gutenberg-University of Mainz, and the Federal Ministry of Research and Education, Germany (BMBF 01EO1003 to PSW). This work was also supported by the research project Greifswald Approach to Individualized Medicine (GANI_MED). GANI_MED was funded by the Federal Ministry of Education and Research and the Ministry of Cultural Affairs of the Federal State of Mecklenburg, West Pomerania (contract 03IS2061A). We thank all study participants, and the colleagues and coworkers from all cohorts and sites who were involved in the generation of data or in the analysis. We especially thank Andrew Johnson (FHS) for generation of the gene annotation database used for analysis. We thank the German Center for Cardiovascular Research (DZHK e.V.) for supporting the analysis and publication of this project. RSV is a member of the Scientific Advisory Board of the DZHK. Data on CAD and MI were contributed by CARDIoGRAMplusC4D investigators. See Supplemental Acknowledgments for consortium details. PSW, JFF, AS, AT, TZ, RSV, and MD had full access to all of the data in the study and take responsibility for the integrity of the data and the accuracy of the data analysis