Lead exposure across the life course and age at death.

BACKGROUND: Lead (Pb) exposure has been associated with an increased risk of all-cause mortality, even at low levels. Little is known about how the timing of Pb exposure throughout life may influence these relationships. Quantifying the amount of Pb present in various tissues of the body provides measurements of exposure from different periods of life. These include bone, tooth enamel, which is the hard outer layer of the crown, and tooth cementum, which is the calcified connective tissue covering the tooth root. The purpose of the study was to examine Pb exposure at multiple periods throughout life, including childhood (enamel), adulthood (cementum), and later life (bone), and to estimate their associations with age at death. METHODS: 208 skeleton donors (born 1910-1960) from an ongoing case-control study were included in this study. Pb was measured in tibia (shin), bone using X-Ray Florescence and in teeth using Laser-Ablation Inductively Coupled Plasma Mass Spectroscopy. After excluding unusually high measurements (>2sd), this resulted in a final sample of 111 with all exposure measures. Correlations across measures were determined using partial Spearman correlations. Associations between Pb exposure and age at death were estimated using Multivariable Linear Regression. RESULTS: Pb measures across exposure periods were all significantly correlated, with the highest correlation between cementum and tibia measures (r = 0.61). Donors were largely female (63.0 %), White (97.3 %), and attended some college (49.5 %). Single exposure models found that higher tooth cementum Pb (-1.27; 95 % CI: -2.48, -0.06) and tibia bone Pb (-0.91; 95 % CI: -1.67, -0.15) were significantly associated with an earlier age at death. When considered simultaneously, only cementum Pb remained significant (-1.51; 95 % CI: -2.92, -0.11). Secondary analyses suggest that the outer cementum Pb may be especially associated with an earlier age at death. CONCLUSION: Results suggest that higher Pb exposure is associated with an earlier age at death, with adulthood as the life period of most relevance. Additional studies using Pb exposure measures from different life stages should be conducted.

Multi-omics analysis in human retina uncovers ultraconserved cis-regulatory elements at rare eye disease loci.

Cross-species genome comparisons have revealed a substantial number of ultraconserved non-coding elements (UCNEs). Several of these elements have proved to be essential tissue- and cell type-specific cis-regulators of developmental gene expression. Here, we characterize a set of UCNEs as candidate CREs (cCREs) during retinal development and evaluate the contribution of their genomic variation to rare eye diseases, for which pathogenic non-coding variants are emerging. Integration of bulk and single-cell retinal multi-omics data reveals 594 genes under potential cis-regulatory control of UCNEs, of which 45 are implicated in rare eye disease. Mining of candidate cis-regulatory UCNEs in WGS data derived from the rare eye disease cohort of Genomics England reveals 178 ultrarare variants within 84 UCNEs associated with 29 disease genes. Overall, we provide a comprehensive annotation of ultraconserved non-coding regions acting as cCREs during retinal development which can be targets of non-coding variation underlying rare eye diseases.

Discharge protocol in acute pancreatitis: an international survey and cohort analysis.

There are several overlapping clinical practice guidelines in acute pancreatitis (AP), however, none of them contains suggestions on patient discharge. The Hungarian Pancreatic Study Group (HPSG) has recently developed a laboratory data and symptom-based discharge protocol which needs to be validated. (1) A survey was conducted involving all members of the International Association of Pancreatology (IAP) to understand the characteristics of international discharge protocols. (2) We investigated the safety and effectiveness of the HPSG-discharge protocol. According to our international survey, 87.5% (49/56) of the centres had no discharge protocol. Patients discharged based on protocols have a significantly shorter median length of hospitalization (LOH) (7 (5;10) days vs. 8 (5;12) days) p < 0.001), and a lower rate of readmission due to recurrent AP episodes (p = 0.005). There was no difference in median discharge CRP level among the international cohorts (p = 0.586). HPSG-protocol resulted in the shortest LOH (6 (5;9) days) and highest median CRP (35.40 (13.78; 68.40) mg/l). Safety was confirmed by the low rate of readmittance (n = 35; 5%). Discharge protocol is necessary in AP. The discharge protocol used in this study is the first clinically proven protocol. Developing and testifying further protocols are needed to better standardize patients' care.

On statistical inference with high-dimensional sparse CCA.

We consider asymptotically exact inference on the leading canonical correlation directions and strengths between two high-dimensional vectors under sparsity restrictions. In this regard, our main contribution is developing a novel representation of the Canonical Correlation Analysis problem, based on which one can operationalize a one-step bias correction on reasonable initial estimators. Our analytic results in this regard are adaptive over suitable structural restrictions of the high-dimensional nuisance parameters, which, in this set-up, correspond to the covariance matrices of the variables of interest. We further supplement the theoretical guarantees behind our procedures with extensive numerical studies.

Wildfire exposure and academic performance in Brazil: A causal inference approach for spatiotemporal data.

As the frequency and intensity of wildfires are projected to globally amplify due to climate change, there is a growing need to quantify the impact of exposure to wildfires in vulnerable populations such as adolescents. In our study, we applied rigorous causal inference methods to estimate the effect of wildfire exposure on the academic performance of high school students in Brazil between 2009 and 2015. Using longitudinal data from 8,183 high schools across 1,571 municipalities in Brazil, we estimated that the average performance in most academic subjects decreases under interventions that increase wildfire exposure, e.g., a decrease of 1.8 % (p = 0.01) in the natural sciences when increasing the wildfire density from 0.0035 wildfires/km2 (first quantile in the sample) to 0.0222 wildfires/km2 (third quartile). Furthermore, these effects considerably worsened over time. Our findings highlight the adverse impact of wildfires on educational outcomes.

On Support Recovery with Sparse CCA: Information Theoretic and Computational Limits.

In this paper, we consider asymptotically exact support recovery in the context of high dimensional and sparse Canonical Correlation Analysis (CCA). Our main results describe four regimes of interest based on information theoretic and computational considerations. In regimes of "low" sparsity we describe a simple, general, and computationally easy method for support recovery, whereas in a regime of "high" sparsity, it turns out that support recovery is information theoretically impossible. For the sake of information theoretic lower bounds, our results also demonstrate a non-trivial requirement on the "minimal" size of the nonzero elements of the canonical vectors that is required for asymptotically consistent support recovery. Subsequently, the regime of "moderate" sparsity is further divided into two subregimes. In the lower of the two sparsity regimes, we show that polynomial time support recovery is possible by using a sharp analysis of a co-ordinate thresholding [1] type method. In contrast, in the higher end of the moderate sparsity regime, appealing to the "Low Degree Polynomial" Conjecture [2], we provide evidence that polynomial time support recovery methods are inconsistent. Finally, we carry out numerical experiments to compare the efficacy of various methods discussed.

Treatment of age-related macular degeneration with aflibercept using a treat, extend and fixed protocol; A 4-year study of treatment outcomes, durability, safety and quality of life (An extension to the MATE randomised controlled trial).

PURPOSE: Data are limited pertaining to the long-term benefits of aflibercept treatment for neovascular age-related macular degeneration (nAMD). The aim of this study was to provide outcomes, safety, durability and quality-of-life data with aflibercept using a modified treat, extend and fixed regime over 4 years. METHODS: Prospective, multicentre, single cohort observational study of treatment-naïve nAMD participants treated with aflibercept as 2-year extension of the MATE-trial that compared early and late Treat-and-Extend for 2 years. Refracted ETDRS best corrected visual acuity (BCVA), central retinal thickness (CRT), treatment interval and adverse events were assessed. Quality-of-life was measured using the Macular Disease Dependent Quality of Life (MacDQoL) and Macular Disease Treatment Satisfaction Questionnaires (MacTSQ). RESULTS: Twenty-six of 40 participants completing the MATE-trial were enrolled with 20 completing the total 4-year study. Mean BCVA was 60.7 at Month 0 and 64.8 ETDRS letters at Month 48 while CRT decreased from 423.7 µm to 292.2 µm. Five participants discontinued treatment due to inactivity. The mean number of treatments and visits for the remaining participants was 27 and 30.0, respectively, with treatment intervals extended to 12 weeks in four participants at Month 48. Both AMD-specific QoL and treatment satisfaction remained stable between Months 0 and 48 and mean BCVA significantly correlated with AMD-specific QoL scores at Months 12, 24 and 48. CONCLUSIONS: Results suggest that BCVA can be maintained over 48 months when following a treat-extend-and-fix regimen of aflibercept with intervals out to 12 weeks, while maintaining AMD-specific QoL and treatment satisfaction.

Middle Meningeal Artery Embolization in Adjunction to Surgical Evacuation for Treatment of Subdural Hematomas: A Nationwide Comparison of Outcomes With Isolated Surgical Evacuation.

BACKGROUND AND OBJECTIVES: Surgical evacuation is the standard treatment for chronic subdural hematomas (CSDHs) but is associated with a high risk of recurrence and readmission. Middle meningeal artery embolization (MMAE) is a novel treatment approach which could be performed upfront or in adjunction to surgical evacuation. MMAE studies are limited by small sample sizes. This study aimed to describe and compare outcomes of MMAE in adjunction to surgery with those of surgery alone on a national level. METHODS: The national Vizient Clinical Database was queried by use of a specific validated set of International Classification of Diseases, Tenth Revision codes (October 2018-June 2022). Patients with the diagnosis of nontraumatic CSDH who received MMAE and surgical drainage in the same hospitalization were identified, and their outcomes were compared with isolated surgical drainage. RESULTS: A total of 606 subjects from 156 institutes and 6340 subjects from 369 institutes were included in the MMAE plus surgery (M&S) and surgery groups, respectively. Average length of stay was significantly longer in the M&S group (9.87 vs 7.53 days; P < .01). There was no significant difference in the in-hospital mortality rate (2.8% vs 2.9%), but the complication rate was significantly higher in the M&S group (8.7% vs 5.5%; P < .01). Complications that were significantly more common in the M&S group included aspiration pneumonia, postoperative sepsis, and anesthesia-related. Mean direct costs were significantly higher in the M&S group (28 834 vs 16 292 US dollars; P < .01). The 30-day readmission rate was significantly lower in the M&S group compared with the surgery group (4.2% vs 8.0%; P < .01). CONCLUSION: This analysis of large-scale national data indicates that MMAE performed in adjunction to surgery for treatment of CSDH is associated with higher direct costs, higher complication rates, and longer length of stay but lower readmission rates compared with surgical evacuation alone.

Prognostic Serum Biomarkers of Inflammaging in Patients Undergoing Emergency Laparotomy.

Surgeons are increasingly faced with an ageing and frail patient population. There is a significant absence of biomarkers capable of risk stratifying patients undergoing emergency laparotomy. Inflammaging describes a state of chronic inflammation associated with ageing and frailty that may predict worse outcomes after surgery. This retrospective observational study evaluated pre-morbid inflammatory markers in the prognostication of older adult patients undergoing emergency laparotomy. Patients aged ≥65 years undergoing surgery between 1 April 2017 and 1 April 2022 were identified. Pre-admission and acute C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), total white cell count (WCC), neutrophil count (NC) and lymphocyte count (LC) datapoints were captured. Pre-operative risk stratification scores and post-operative outcomes were recorded using the National Emergency Laparotomy Audit (NELA) database. A cohort of 196 patients was included: 57.7% were female, median age 74.5 years. High risk (NELA risk of mortality ≥ 5%) and frail (clinical frailty scale ≥ 4) patients experienced a significantly longer hospital and critical care stay (p < 0.05). Pre-admission ESR ≥ 16 and LC ≥ 4.1 were significantly associated with a longer critical care stay (p < 0.05); no statistical significance was observed with CRP, WCC and NC in predicting adverse outcomes. We found that an elevated pre-morbid ESR and LC identifies a potential inflammaging cohort that demonstrates worse outcomes following emergency laparotomy. The prognostication of older adult surgical patients remains a challenge and represents an area of research deserving of future attention.

The MATE trial: a multicentre, mixed-methodology, pilot, randomised controlled trial in neovascular age-related macular degeneration.

BACKGROUND/OBJECTIVES: In healthcare research investigating complex interventions, gaps in understanding of processes can be filled by using qualitative methods alongside a quantitative approach. The aim of this mixed-methods pilot trial was to provide feasibility evidence comparing two treatment regimens for neovascular age-related macular degeneration (nAMD) to inform a future large-scale randomised controlled trial (RCT). SUBJECTS/METHODS: Forty-four treatment-naïve nAMD patients were followed over 24 months and randomised to one of two treatment regimens: standard care (SC) or treat and extend (T&E). The primary objective evaluated feasibility of the MATE trial via evaluations of screening logs for recruitment rates, nonparticipation and screen fails, whilst qualitative in-depth interviews with key study staff evaluated the recruitment phase and running of the trial. The secondary objective assessed changes in visual acuity and central retinal thickness (CRT) between the two treatment arms. RESULTS: The overall recruitment rate was 3.07 participants per month with a 40.8% non-participation rate, 18.51% screen-failure rate and 15% withdrawal/non-completion rate. Key themes in the recruitment phase included human factors, protocol-related issues, recruitment processes and challenges. Both treatment regimens showed a trend towards a visual acuity gain at month 12 which was not maintained at month 24, whilst CRT reduced similarly in both regimens over the same time period. These were achieved with one less treatment following a T&E regimen. CONCLUSION: This mixed-methodology, pilot RCT achieved its pre-defined recruitment, nonparticipation and screen failure rates, thus deeming it a success. With some minor protocol amendments, progression to a large-scale RCT will be achievable.

Targeted nanopore sequencing enables complete characterisation of structural deletions initially identified using exon-based short-read sequencing strategies.

BACKGROUND: The widespread adoption of exome sequencing has greatly increased the rate of genetic diagnosis for inherited conditions. However, the detection and validation of large deletions remains challenging. While numerous bioinformatics approaches have been developed to detect deletions from whole - exome sequencing and targeted panels, further work is typically required to define the physical breakpoints or integration sites. Accurate characterisation requires either expensive follow - up whole - genome sequencing or the time - consuming, laborious process of PCR walking, both of which are challenging when dealing with the repeat sequences which frequently intersect deletion breakpoints. The aim of this study was to develop a cost-effective, long-range sequencing method to characterise deletions. METHODS: Genomic DNA was amplified with primers spanning the deletion using long-range PCR and the products purified. Sequencing was performed on MinION flongle flowcells. The resulting fast5 files were basecalled using Guppy, trimmed using Porechop and aligned using Minimap2. Filtering was performed using NanoFilt. Nanopore sequencing results were verified by Sanger sequencing. RESULTS: Four cases with deletions detected following comparative read-depth analysis of targeted short-read sequencing were analysed. Nanopore sequencing defined breakpoints at the molecular level in all cases including homozygous breakpoints in EYS, CNGA1 and CNGB1 and a heterozygous deletion in PRPF31. All breakpoints were verified by Sanger sequencing. CONCLUSIONS: In this study, a quick, accurate and cost - effective method is described to characterise deletions identified from exome, and similar data, using nanopore sequencing.

Probabilistic edge inference of gene networks with markov random field-based bayesian learning.

Current algorithms for gene regulatory network construction based on Gaussian graphical models focuses on the deterministic decision of whether an edge exists. Both the probabilistic inference of edge existence and the relative strength of edges are often overlooked, either because the computational algorithms cannot account for this uncertainty or because it is not straightforward in implementation. In this study, we combine the Bayesian Markov random field and the conditional autoregressive (CAR) model to tackle simultaneously these two tasks. The uncertainty of edge existence and the relative strength of edges can be measured and quantified based on a Bayesian model such as the CAR model and the spike-and-slab lasso prior. In addition, the strength of the edges can be utilized to prioritize the importance of the edges in a network graph. Simulations and a glioblastoma cancer study were carried out to assess the proposed model's performance and to compare it with existing methods when a binary decision is of interest. The proposed approach shows stable performance and may provide novel structures with biological insights.

Acute Pancreatitis: Diagnosis and Treatment.

Acute pancreatitis is a common indication for hospital admission, increasing in incidence, including in children, pregnancy and the elderly. Moderately severe acute pancreatitis with fluid and/or necrotic collections causes substantial morbidity, and severe disease with persistent organ failure causes significant mortality. The diagnosis requires two of upper abdominal pain, amylase/lipase ≥ 3 ×upper limit of normal, and/or cross-sectional imaging findings. Gallstones and ethanol predominate while hypertriglyceridaemia and drugs are notable among many causes. Serum triglycerides, full blood count, renal and liver function tests, glucose, calcium, transabdominal ultrasound, and chest imaging are indicated, with abdominal cross-sectional imaging if there is diagnostic uncertainty. Subsequent imaging is undertaken to detect complications, for example, if C-reactive protein exceeds 150 mg/L, or rarer aetiologies. Pancreatic intracellular calcium overload, mitochondrial impairment, and inflammatory responses are critical in pathogenesis, targeted in current treatment trials, which are crucially important as there is no internationally licenced drug to treat acute pancreatitis and prevent complications. Initial priorities are intravenous fluid resuscitation, analgesia, and enteral nutrition, and when necessary, critical care and organ support, parenteral nutrition, antibiotics, pancreatic exocrine and endocrine replacement therapy; all may have adverse effects. Patients with local complications should be referred to specialist tertiary centres to guide further management, which may include drainage and/or necrosectomy. The impact of acute pancreatitis can be devastating, so prevention or reduction of the risk of recurrence and progression to chronic pancreatitis with an increased risk of pancreas cancer requires proactive management that should be long term for some patients.

Insulin or blood purification treatment for hypertriglyceridaemia-associated acute pancreatitis: A systematic review and meta-analysis.

BACKGROUND/OBJECTIVES: Hypertriglyceridaemia increases risks from acute pancreatitis (HTG-AP) over other aetiologies, but optimal management for HTG-AP remains undefined. We performed a systematic review and meta-analysis of studies of insulin-based treatment (IT) versus blood purification treatment (BPT) for HTG-AP. METHODS: Searches were conducted to identify randomised trials and observational studies published between 1946 and 2022 that compared IT and BPT for HTG-AP reporting baseline and post-treatment serum triglyceride (TG) levels with clinical outcomes. The primary outcome was serum TG reduction (Δ-TG) from baseline while secondary outcomes included complications, length of stay, adverse events, and cost. RESULTS: Fifteen (1 randomised, 2 prospective case-controlled, and 12 retrospective cohort) studies were analysed comprising 909 cases with HTG-AP. Pooled results demonstrated IT was significantly less efficient than BPT in Δ-TG at 24 h (WMD -666.06, 95% CI -1130.18 to -201.94, P = 0.005; 12 studies), at 48 h (WMD -672.60, 95% CI -1233.44 to -111.77; 8 studies), and overall Δ-TG by day 7 (WMD -385.81, 95% CI -711.07 to -60.54; 8 studies) (both P = 0.02). IT, however, was associated with significantly fewer adverse events (OR 0.09, 95% CI 0.03 to 0.27, P < 0.0001; 7 studies) and significantly reduced cost (WMD -2.50, 95% CI -3.61 to -1.39, P < 0.00001; 3 studies). Other secondary outcomes were not significantly different between the two regimens (all P ≥ 0.11). In subgroup analysis Δ-TG at 24 h and overall Δ-TG became insignificant, while other results were unaffected. CONCLUSION: Our findings support the general use of IT for inpatient management of HTG-AP, restricting BPT to those predicted or found to respond poorly to IT.

Twenty Years of Insulin Gla-100: A Systematic Evaluation of Its Efficacy and Safety in Type 2 Diabetes Mellitus.

INTRODUCTION: This systematic review aims to present the current evidence base with respect to the initiation and intensification of insulin therapy with glargine 100 U/mL (Gla-100) compared to other insulins in people with type 2 diabetes mellitus (T2DM). METHODS: A systematic literature search of PubMed (MEDLINE), EMBASE, and the Cochrane Central Register of controlled clinical trials databases was performed to identify studies published up to September 30, 2020 that compared the effects of Gla-100 to that of other insulin regimens in people with T2DM. Relevant information pertaining to the predefined outcomes of interest was extracted. Glycated hemoglobin (HbA1c) change and response rates along with overall hypoglycemia incidence were the primary efficacy and safety outcomes of interest. RESULTS: Seventy-nine studies (63 interventional and 16 non-interventional) in which Gla-100 was either initiated in previously insulin-naïve patients (n = 57) or used in an intensified regimen (n = 22) were identified and evaluated. In insulin-naïve patients, most studies demonstrated that Gla-100 was significantly better compared with premixed insulins and similar compared with neutral protamine Hagedorn (NPH) insulin, second-generation basal insulins, co-formulations, and other first-generation basal insulins in terms of the primary efficacy parameters. Overall hypoglycemia risk with Gla-100 was significantly lower compared with NPH, premixed, coformulation, and other first-generation basal insulins and significantly higher compared with second-generation basal insulins. In studies with intensified regimens, efficacy outcomes with Gla-100 were significantly better compared with insulin detemir (IDet); similar compared with NPH, second-generation basal insulins, co-formulations; and with premixed insulins. In these studies, overall hypoglycemia risk with Gla-100 was significantly lower compared with IDet and comparable to NPH, premixed insulins, co-formulations, and second-generation basal insulins. In addition, most intensification studies also revealed a significantly lower risk of nocturnal hypoglycemia with Gla-100-based regimens versus NPH and premixed insulins and a significantly greater risk compared to second-generation basal insulins. CONCLUSIONS: The evidence presented in this review suggests that Gla-100 is an effective option for both insulin initiation and intensification strategies used in the management of T2DM.

The Natural History of Leber Congenital Amaurosis and Cone-Rod Dystrophy Associated with Variants in the GUCY2D Gene.

OBJECTIVE: To describe the spectrum of Leber congenital amaurosis (LCA) and cone-rod dystrophy (CORD) associated with the GUCY2D gene and to identify potential end points and optimal patient selection for future therapeutic trials. DESIGN: International, multicenter, retrospective cohort study. SUBJECTS: Eighty-two patients with GUCY2D-associated LCA or CORD from 54 families. METHODS: Medical records were reviewed for medical history, best-corrected visual acuity (BCVA), ophthalmoscopy, visual fields, full-field electroretinography, and retinal imaging (fundus photography, spectral-domain OCT [SD-OCT], fundus autofluorescence). MAIN OUTCOMES MEASURES: Age of onset, evolution of BCVA, genotype-phenotype correlations, anatomic characteristics on funduscopy, and multimodal imaging. RESULTS: Fourteen patients with autosomal recessive LCA and 68 with autosomal dominant CORD were included. The median follow-up times were 5.2 years (interquartile range [IQR] 2.6-8.8 years) for LCA and 7.2 years (IQR 2.2-14.2 years) for CORD. Generally, LCA presented in the first year of life. The BCVA in patients with LCA ranged from no light perception to 1.00 logarithm of the minimum angle of resolution (logMAR) and remained relatively stable during follow-up. Imaging for LCA was limited but showed little to no structural degeneration. In patients with CORD, progressive vision loss started around the second decade of life. The BCVA declined annually by 0.022 logMAR (P < 0.001) with no difference between patients with the c.2513G>A and the c.2512C>T GUCY2D variants (P = 0.798). At the age of 40 years, the probability of being blind or severely visually impaired was 32%. The integrity of the ellipsoid zone (EZ) and that of the external limiting membrane (ELM) on SD-OCT correlated significantly with BCVA (Spearman ρ = 0.744, P = 0.001, and ρ = 0.712, P < 0.001, respectively) in those with CORD. CONCLUSIONS: Leber congenital amaurosis associated with GUCY2D caused severe congenital visual impairment with relatively intact macular anatomy on funduscopy and available imaging, suggesting long preservation of photoreceptors. Despite large variability, GUCY2D-associated CORD generally presented during adolescence, with a progressive loss of vision, and culminated in severe visual impairment during mid-to-late adulthood. The integrity of the ELM and EZ may be suitable structural end points for therapeutic studies of GUCY2D-associated CORD.

A microRNA checkpoint for Ca2+ signaling and overload in acute pancreatitis.

Acute pancreatitis (AP) is a common digestive disease without specific treatment, and its pathogenesis features multiple deleterious amplification loops dependent on translation, triggered by cytosolic Ca2+ ([Ca2+]i) overload; however, the underlying mechanisms in Ca2+ overload of AP remains incompletely understood. Here we show that microRNA-26a (miR-26a) inhibits pancreatic acinar cell (PAC) store-operated Ca2+ entry (SOCE) channel expression, Ca2+ overload, and AP. We find that major SOCE channels are post-transcriptionally induced in PACs during AP, whereas miR-26a expression is reduced in experimental and human AP and correlated with AP severity. Mechanistically, miR-26a simultaneously targets Trpc3 and Trpc6 SOCE channels and attenuates physiological oscillations and pathological elevations of [Ca2+]i in PACs. MiR-26a deficiency increases SOCE channel expression and [Ca2+]i overload, and significantly exacerbates AP. Conversely, global or PAC-specific overexpression of miR-26a in mice ameliorates pancreatic edema, neutrophil infiltration, acinar necrosis, and systemic inflammation, accompanied with remarkable improvements on pathological determinants related with [Ca2+]i overload. Moreover, pancreatic or systemic administration of an miR-26a mimic to mice significantly alleviates experimental AP. These findings reveal a previously unknown mechanism underlying AP pathogenesis, establish a critical role for miR-26a in Ca2+ signaling in the exocrine pancreas, and identify a potential target for the treatment of AP.

Increased preterm birth following maternal wildfire smoke exposure in Brazil.

Preterm birth (PTB) complications are the leading cause of death among children under 5 years of age, responsible for approximately 1 million deaths in 2015, according to the World Health Organization. Those infants born prematurely who survived the first 5 years, studies suggest that these infants are more likely to experience a range of poor health outcomes during childhood and even adulthood. Wildfire smoke has been suggested as a type of air pollution source with high toxicity for reproductive health. In this study, we estimated the association between preterm birth and wildfire periods in Brazil, a country included in the list of the 10 nations with the greatest number of preterm birth and also considered as a very fire-prone region. We applied a time-stratified case-crossover study design using conditional logistic regression models to estimate the odds ratio for preterm birth associated with wildfire-related prenatal PM2.5, during different windows of exposure, including trimesters 1-3. After adjusting for several confounders (other air pollutants, demographics, meteorological variables, and spatiotemporal terms), we found that wildfire smoke exposure during pregnancy may be associated with preterm birth in Brazil. Southeast was the region with the highest increase in the odds of PTB (OR:1.41 (95%CI: 1.31-1.51) when the exposure occurred in the first trimester. In the North, exposure to PM2.5 during wildfire periods in the second trimester of pregnancy was associated with increased odds of PTB (OR:1.05 (95%CI: 1.01-1.09) in preterm birth when the exposure occurred in the second trimester. This study suggests that wildfire smoke exposure during pregnancy may increase the risk for preterm birth in Brazil. This should be of great concern to the public health authorities, obstetricians, and policymakers.

The misuse of distributional assumptions in functional class scoring gene-set and pathway analysis.

Gene-set analysis (GSA) is a standard procedure for exploring potential biological functions of a group of genes. The development of its methodology has been an active research topic in recent decades. Many GSA methods, when newly proposed, rely on simulation studies to evaluate their performance with an implicit assumption that the multivariate expression values are normally distributed. This assumption is commonly adopted in GSAs, particularly those in the group of functional class scoring (FCS) methods. The validity of the normality assumption, however, has been disputed in several studies, yet no systematic analysis has been carried out to assess the effect of this distributional assumption. Our goal in this study is not to propose a new GSA method but to first examine if the multi-dimensional gene expression data in gene sets follow a multivariate normal (MVN) distribution. Six statistical methods in three categories of MVN tests were considered and applied to a total of 24 RNA data sets. These RNA values were collected from cancer patients as well as normal subjects, and the values were derived from microarray experiments, RNA sequencing, and single-cell RNA sequencing. Our first finding suggests that the MVN assumption is not always satisfied. This assumption does not hold true in many applications tested here. In the second part of this research, we evaluated the influence of non-normality on the statistical power of current FCS methods, both parametric and nonparametric ones. Specifically, the scenario of mixture distributions representing more than one population for the RNA values was considered. This second investigation demonstrates that the non-normality distribution of the RNA values causes a loss in the statistical power of these GSA tests, especially when subtypes exist. Among the FCS GSA tools examined here and among the scenarios studied in this research, the N-statistics outperform the others. Based on the results from these two investigations, we conclude that the assumption of MVN should be used with caution when evaluating new GSA tools, since this assumption cannot be guaranteed and violation may lead to spurious results, loss of power, and incorrect comparison between methods. If a newly proposed GSA tool is to be evaluated, we recommend the incorporation of a wide range of multivariate non-normal distributions or sampling from large databases if available.