Effects of common lifestyle factors on obstructive sleep apnea: precautions in daily life based on causal inferences.

Background: This study aimed to evaluate the causal impact of common modifiable lifestyles on obstructive sleep apnea (OSA), which is beneficial for recommendations to prevent and manage OSA. Method: Published genome-wide association study (GWAS) summary statistics were used to perform two-sample Mendelian randomization (MR). Variants associated with each exposure of smoking, drinking, and leisure sedentary behaviors at the genetic level were used as instrumental variables (IVs). Then, inverse-variance weighting (IVW) was considered the primary result for causality. Moreover, several complimented approaches were also included to verify the observed associations. MR-PRESSO and MR-Egger intercept were applied to test the horizontal pleiotropy. To assess heterogeneity, Cochran's Q test by IVW and MR-Egger were applied. Results: Regular smoking history increased OSA risk in all applied approaches [OR (95% CI)IVW = 1.28 (1.12, 1.45), p = 1.853 × 10-4], while the causality of lifetime smoking index [OR (95% CI)IVW = 1.39 (1.00, 1.91), p = 0.048], alcohol intake frequency [outliers removed OR (95% CI)IVW = 1.26 (1.08, 1.45), p = 0.002], and coffee intake behavior [OR (95% CI)IVW = 1.66 (1.03, 2.68), p = 0.039] on OSA risk were not always consistent in other approaches. In addition, no robust causal associations were observed for the effect of sedentary leisure behaviors on OSA risk. In sensitivity analysis, we observed no sign of horizontal pleiotropy or heterogeneity. Conclusion: Ever regularly smoking has a robust causal role in increasing OSA risk, which should be discouraged as precautions from developing OSA.

Causal analysis of gastroesophageal reflux disease and esophageal cancer.

Patients with gastroesophageal reflux disease (GERD) are more likely to develop esophageal cancer (EC). However, a causal relationship between the 2 has been difficult to determine. Therefore, this study aimed to evaluate the impact of GERD on EC using the Mendelian randomization (MR) method. The causal association between GERD and EC was analyzed based on 2 publicly available genetic summary datasets for the GERD cohort (129,080 cases vs 473,524 controls) and the EC cohort (740 cases vs 372,016 controls). The causal inference was mainly evaluated by the inverse variance weighted MR. The MR-Egger regression, MR Pleiotropy Residual Sum and Outlier test, and leave-one-out test were used to confirm the sensitivity of the MR results. Possible interfering factors were excluded by multivariate MR (MVMR) analysis. We used 73 single nucleotide polymorphisms as instrumental variables. GERD was associated with increasing EC risk (odds ratio [OR], 1.001; 95% confidence interval, 1.001-1.002; P < .001), which was identified using the inverse variance weighted method. The sensitivity analysis also demonstrated similar results with the causal explanation, and major bias in genetic pleiotropy was not identified (intercept, 0.001; standard error, 0.001; P = .418). The multivariate MR analysis demonstrated the effect of GERD on EC even after excluding possible mediating factors (OR, 1.003; 95% confidence interval, 1.001-1.005; P = .012). This study confirmed that GERD has a causal effect on EC. Therefore, interventional measures are recommended to prevent EC.

Bayesian two-stage modeling of longitudinal and time-to-event data with an integrated fractional Brownian motion covariance structure.

It is difficult to characterize complex variations of biological processes, often longitudinally measured using biomarkers that yield noisy data. While joint modeling with a longitudinal submodel for the biomarker measurements and a survival submodel for assessing the hazard of events can alleviate measurement error issues, the continuous longitudinal submodel often uses random intercepts and slopes to estimate both between- and within-patient heterogeneity in biomarker trajectories. To overcome longitudinal submodel challenges, we replace random slopes with scaled integrated fractional Brownian motion (IFBM). As a more generalized version of integrated Brownian motion, IFBM reasonably depicts noisily measured biological processes. From this longitudinal IFBM model, we derive novel target functions to monitor the risk of rapid disease progression as real-time predictive probabilities. Predicted biomarker values from the IFBM submodel are used as inputs in a Cox submodel to estimate event hazard. This two-stage approach to fit the submodels is performed via Bayesian posterior computation and inference. We use the proposed approach to predict dynamic lung disease progression and mortality in women with a rare disease called lymphangioleiomyomatosis who were followed in a national patient registry. We compare our approach to those using integrated Ornstein-Uhlenbeck or conventional random intercepts-and-slopes terms for the longitudinal submodel. In the comparative analysis, the IFBM model consistently demonstrated superior predictive performance.

Association between multiple sclerosis and cancer risk: A two-sample Mendelian randomization study.

Multiple Sclerosis (MS) is an immune-related disease and the relationship between MS and cancer has raised attention. Previous studies of the relationship between MS and cancer have reached conflicting conclusions. In this study, the two-sample MR method is used to investigate whether MS has a causal correlation with cancers and offer scientific evidence for cancer prevention. Single nucleotide polymorphisms (SNPs) related to MS were obtained from the genome-wide association study (GWAS) based on International Multiple Sclerosis Genetics Consortium (IMSGC) and SNPs related to 15 types of cancers were obtained from the GWASs based on UK Biobank. Inverse variance weighted (IVW) method was mainly used to assess causal effects. Sensitivity analyses were conducted with Cochran's Q-test, MR Egger intercept, leave-one-out test, and MR Steiger method. IVW analysis showed that MS was only associated with a marginal increased risk of cervical cancer (OR 1.0004, 95% CI 1.0002-1.0007, p = 0.0003). Sensitivity analyses showed that the results of MR analysis were robust and found no heterogeneity, no pleiotropy, and no reverse causation. In conclusion, this study finds no causal relationship between MS and 15 types of cancers except cervical cancer.

Psoriasis may increase the risk of idiopathic pulmonary fibrosis: a two-sample Mendelian randomization study.

BACKGROUND: Although some studies have indicated that Psoriasis could contribute to the risk of idiopathic pulmonary fibrosis (IPF), no study has reported a clear causal association between them. Our aim was to explore the potential relationship between Psoriasis and IPF using Mendelian randomization (MR) design. METHODS: To explore a causal association between Psoriasis and IPF, we used genetic instruments from the largest available genome-wide association study (GWAS) of European ancestry, including psoriasis (5314 cases, 457,619 controls) and IPF (1028 cases, 196,986 controls). Our main analyses were conducted by inverse-variance weighted (IVW) method with random-effects model, with the other complementary four analyses: weighted median method, weighted mode, multivariable MR and MR-Egger approach. RESULTS: The results of IVW methods demonstrated that genetically predicted psoriasis was significantly associated with higher odds of IPF, with an odds ratio (OR) of 1.09 (95%CI, 1.01-1.18; P = 0.02). Weighted median method, weighted mode and multivariable MR also demonstrated directionally similar results (P < 0.05), while the MR-Egger regression did not reveal the impact of psoriasis on IPF (OR = 1.09, 95%CI, 0.98-1.21; P = 0.11). In addition, both funnel plots and MR-Egger intercepts indicated no directional pleiotropic effects between psoriasis and IPF. CONCLUSIONS: Our study provided potential evidence between genetically predicted psoriasis and IPF, which suggests that understanding the mutual risk factors between psoriasis and IPF can facilitate the clinical management of both diseases.

Machine Learning Models for Predicting Disability and Pain Following Lumbar Disc Herniation Surgery.

Importance: Lumber disc herniation surgery can reduce pain and disability. However, a sizable minority of individuals experience minimal benefit, necessitating the development of accurate prediction models. Objective: To develop and validate prediction models for disability and pain 12 months after lumbar disc herniation surgery. Design, Setting, and Participants: A prospective, multicenter, registry-based prognostic study was conducted on a cohort of individuals undergoing lumbar disc herniation surgery from January 1, 2007, to May 31, 2021. Patients in the Norwegian Registry for Spine Surgery from all public and private hospitals in Norway performing spine surgery were included. Data analysis was performed from January to June 2023. Exposures: Microdiscectomy or open discectomy. Main Outcomes and Measures: Treatment success at 12 months, defined as improvement in Oswestry Disability Index (ODI) of 22 points or more; Numeric Rating Scale (NRS) back pain improvement of 2 or more points, and NRS leg pain improvement of 4 or more points. Machine learning models were trained for model development and internal-external cross-validation applied over geographic regions to validate the models. Model performance was assessed through discrimination (C statistic) and calibration (slope and intercept). Results: Analysis included 22 707 surgical cases (21 161 patients) (ODI model) (mean [SD] age, 47.0 [14.0] years; 12 952 [57.0%] males). Treatment nonsuccess was experienced by 33% (ODI), 27% (NRS back pain), and 31% (NRS leg pain) of the patients. In internal-external cross-validation, the selected machine learning models showed consistent discrimination and calibration across all 5 regions. The C statistic ranged from 0.81 to 0.84 (pooled random-effects meta-analysis estimate, 0.82; 95% CI, 0.81-0.84) for the ODI model. Calibration slopes (point estimates, 0.94-1.03; pooled estimate, 0.99; 95% CI, 0.93-1.06) and calibration intercepts (point estimates, -0.05 to 0.11; pooled estimate, 0.01; 95% CI, -0.07 to 0.10) were also consistent across regions. For NRS back pain, the C statistic ranged from 0.75 to 0.80 (pooled estimate, 0.77; 95% CI, 0.75-0.79); for NRS leg pain, the C statistic ranged from 0.74 to 0.77 (pooled estimate, 0.75; 95% CI, 0.74-0.76). Only minor heterogeneity was found in calibration slopes and intercepts. Conclusion: The findings of this study suggest that the models developed can inform patients and clinicians about individual prognosis and aid in surgical decision-making.

Preliminary study of the effect of gut microbiota on the development of prostatitis.

BACKGROUND: Dysbacteriosis of intestinal tract may cause systemic inflammation, making distant anatomical locations more susceptible to illness. Recent research has demonstrated that the microbiome can affect both prostatitis and the inflammation of the prostate that is linked to prostate cancer. It is still unclear, though, whether this relationship indicates causation. We conducted a Mendelian randomization investigation on two samples to fully uncover gut microbiota's potential genetic causal role in prostatitis. METHOD: Prostatitis (1859 prostatitis cases and 72,799 controls) was utilized as the outcome, while SNPs highly linked with 196 microbial taxa (18 340 people) were chosen as instrumental factors. Random effects, inverse variance weighting, weighted medians, and MR-Egger were used to analyze causal effects. The Cochran's Q test, funnel plot, leave-one-out analysis, and MR-Egger intercept test were all used in the sensitivity analysis. RESULTS: A causal effect in lowering the incidence of prostatitis is anticipated for five gut microorganisms (Methanobacteria, Methanobacteriaceae, Erysipelatoclostridium, Parasutterella, and Slackia; P < 0.05). Four gut bacteria, including Faecalibacterium, LachnospiraceaeUCG004, Sutterella, and Gastranaerophilales, are predicted to play a causal role in increasing the risk of prostatitis (P < 0.05). There were no discernible estimates of pleiotropy or heterogeneity. CONCLUSION: Our investigation established the genetic links between nine gut microorganisms and prostatitis, which may offer fresh perspectives and a theoretical framework for the future prevention and management of prostatitis.

The causal relationship between ankylosing spondylitis and the risk of ovarian cancer.

OBJECTIVE: The aim of this study was to investigate the potential causal relationship between ankylosing spondylitis (AS) and ovarian cancer. METHODS: We conducted analyses utilizing publicly available pooled statistical data sets from genomewide association studies (GWAS) involving individuals of European ancestry. Our objective was to identify single nucleotide polymorphisms (SNPs) significantly associated with AS and use them as instrumental variables to assess the causal relationship between AS and ovarian cancer. We employed three statistical methods for two-sample Mendelian randomization: inverse variance weighting (IVW), weighted median, and MR-Egger regression. Network MR Analysis revealed the mediating role of tumor necrosis factor receptor superfamily member 21 between ankylosing spondylitis and ovarian cancer. RESULTS: From the GWAS on AS, we selected 23 instrumental SNPs that exhibited genome-wide significance. Our findings consistently demonstrated an association between AS and ovarian cancer using multiple statistical methods (IVW: odds ratio (OR) 1.147, 95% confidence interval (CI) 1.022-1.287; weighted median estimator: OR 1.177, 95% CI 1.009-1.373; MR-Egger regression: OR 1.166, 95% CI 0.958-1.418). These results indicate a positive correlation, suggesting that AS is associated with an increased risk of ovarian cancer. Furthermore, there was no evidence to suggest that the observed causal effect between AS and the risk of osteoarthritis was influenced by genetic pleiotropy (MR-Egger intercept = -0.0010644, P = 0.8433359). In addition, tumor necrosis factor receptor superfamily member 21 mediated 10.2% of the total effect size in the development of ankylosing spondylitis on ovarian cancer risk. CONCLUSION: Our Mendelian randomization analysis provides strong evidence supporting a potential causal relationship between AS and ovarian cancer risk, with ankylosing spondylitis clearly associated with an increased risk of ovarian cancer. Tumor necrosis factor receptor superfamily member 21 as a mediator involved in the occurrence and development of these two diseases.

No evidence of genetic causality between diabetes and osteonecrosis: a bidirectional two-sample Mendelian randomization analysis.

OBJECTIVE: This study aimed to examine whether diabetes mellitus is causally associated with osteonecrosis. METHOD: Using publicly accessible genome-wide association study statistics, a bidirectional two-sample Mendelian randomization analysis was carried out. In order to determine whether diabetes has a causal effect on osteonecrosis and whether osteonecrosis has a causal effect on diabetes, we extracted six date on diabetes in Europeans from IEU OpenGWAS and GWAS Catalogue and osteonecrosis in Europeans from FinnGen. We then evaluated the data using inverse variance weighting, MR-Egger regression, weighted median, weighted mode, and simple mode. The results' stability and dependability were then evaluated using sensitivity analysis and heterogeneity analysis. Finally, meta-analysis is used to further confirm if there is a relationship between diabetes and osteonecrosis. RESULTS: When diabetes was used as an exposure factor, MR-Egger regression showed that directional fold product was unlikely to bias the results. Cochran's Q test showed only minor heterogeneity in a few data sets. Multidirectional tests Egger-intercept, MR-PRESSO and funnel plots for most data did not show multidirectional and asymmetry at the gene level. Most of the IVW results showed no causal relationship between diabetes mellitus and osteonecrosis. The results of meta-analysis of IVW methods further confirmed the absence of a causal relationship. Inverse MR analysis also showed no causal relationship between osteonecrosis and diabetes. CONCLUSION: Results of bidirectional MR analysis show no evidence of causal relationship between diabetes and osteonecrosis.

Reexamining the Minimum Sweat Rate Requirement for Sweat Chloride Testing.

BACKGROUND: Guidelines for sweat chloride testing endorse a minimum sweat rate for reporting results. Bilateral sweat collection is recommended, but if both sites fail to meet the minimum rate (quantity not sufficient, QNS), the test should be repeated. In this study, we examine the correlation between sweat rate and sweat chloride concentration ([Cl-]), assess the accuracy of specimens collected at suboptimal rates, and investigate the use of pooled bilateral specimens for chloride measurement. METHODS: Pearson correlation was employed to analyze the relationship between sweat rate and chloride concentration, [Cl-], in 674 macroduct collections. Weighted kappa was evaluated to determine cystic fibrosis (CF) diagnostic classification concordance for 18 tests with paired arms above vs below the minimum sweat rate. Deming regression was applied to compare [Cl-] from pooled bilateral specimens vs neat specimens in 27 collections with residual volume available after clinical testing. RESULTS: Pearson correlation of sweat rate vs [Cl-] was minimal (r = -0.0735) across specimens with varying rates and [Cl-]. There was substantial agreement in CF diagnostic classification between arms for bilateral collections with discordant sweat rates. Regression analysis of [Cl-] in pooled vs nonpooled specimens revealed a slope of 0.984 and an intercept of 0.796. CONCLUSIONS: Negligible correlation of sweat rate and [Cl-] suggests the minimum sweat rate for macroduct collectors may be overly stringent. Reporting of [Cl-] in specimens with ≥10 µL (rate ≥0.3 µL/min) may reduce QNS rates without compromising diagnostic accuracy. Preliminary data suggests pooling of bilateral collections may be a feasible option to achieve the required volume for testing.

Pseudotemporal ordering of spatial lymphoid tissue microenvironment profiles trails Unclassified DLBCL at the periphery of the follicle.

We have established a pseudotemporal ordering for the transcriptional signatures of distinct microregions within reactive lymphoid tissues, namely germinal center dark zones (DZ), germinal center light zones (LZ), and peri-follicular areas (Peri). By utilizing this pseudotime trajectory derived from the functional microenvironments of DZ, LZ, and Peri, we have ordered the transcriptomes of Diffuse Large B-cell Lymphoma cases. The apex of the resulting pseudotemporal trajectory, which is characterized by enrichment of molecular programs fronted by TNFR signaling and inhibitory immune checkpoint overexpression, intercepts a discrete peri-follicular biology. This observation is associated with DLBCL cases that are enriched in the Unclassified/type-3 COO category, raising questions about the potential extra-GC microenvironment imprint of this peculiar group of cases. This report offers a thought-provoking perspective on the relationship between transcriptional profiling of functional lymphoid tissue microenvironments and the evolving concept of the cell of origin in Diffuse Large B-cell Lymphomas.

Accuracy of a Glycerol Dehydrogenase Assay for Ethylene Glycol Detection.

INTRODUCTION: Ethylene glycol (EG) is a frequently considered toxicant in poisoned patients. Definitive diagnosis relies on gas chromatography (GC), but this is unavailable at most hospitals. A glycerol dehydrogenase (GDH)-based assay rapidly detects EG. A rapid turnaround time and wide availability of necessary instrumentation suggest this method could facilitate the rapid detection of EG. METHODS: This is a prospective, observational analysis of banked, remnant serum samples submitted to the laboratory of a large, multi-hospital healthcare system. Samples were submitted over a 12-month period for the explicit purpose of testing for suspected EG ingestion. All samples underwent GC and the GDH-based assay. RESULTS: Of the 118 analyzed samples, 88 had no EG detected by GC, and 30 were "positive." At the manufacturer's threshold of 6 mg/dL EG, there was 100% (95%CI; 88.7-100) positive percent agreement (PPA) and 98% (92.1-99.6) negative percent agreement (NPA). Adjusted to a threshold of 9 mg/dL, both the PPA and NPA were 100%. Deming regression of the observed concentrations revealed a slope of 1.16 (1.01 to 1.32) and intercept of -5.3 (-8.9 to -1.7). CONCLUSIONS: The GDH assay provides a sensitive and specific method for the detection and quantification of EG that is comparable to a GC-based method. More widespread use of this rapid, inexpensive assay could improve the care of patients with suspected toxic alcohol exposure. Further study is needed to evaluate the test performance in real-time patient treatment decisions.

Long-term stability of pleural fluid carcinoembryonic antigen and its effect on the diagnostic accuracy for malignant pleural effusion.

BACKGROUND: The in vitro stability assessment is essential for investigating the diagnostic accuracy of pleural biomarkers. This study aimed to investigate the long-term stability of pleural fluid carcinoembryonic antigen (CEA) at -80°C to -70°C. In addition, we analyzed the effects of frozen storage on the diagnostic accuracy of CEA for malignant pleural effusion (MPE). METHODS: Pleural fluid CEA of participants in two prospective cohorts were stored at -80°C to -70°C for 1-3 years. The CEA level in the stored specimen was measured with an immunoassay, and its level in the fresh specimen was extracted from medical records. The Bland-Altman method, Passing-Bablok regression, and Deming regression were used to analyze the agreement of CEA between the fresh and frozen pleural fluid. In addition, we used receiver operating characteristic (ROC) curves to evaluate the diagnostic accuracy of CEA in the fresh and frozen specimens for MPE. RESULTS: A total of 210 participants were enrolled. The median CEA levels in frozen and fresh pleural fluid specimens were similar (frozen, 2.32 ng/mL; fresh, 2.59 ng/mL; p < 0.01). The slopes and intercepts in the Passing-Bablok regression (intercept 0.01, slope 1.04) and Deming regression (intercept 0.65; slope 1.00) were not statistically significant (p > 0.05 for all). No significant difference was observed between the area under the ROC curves of CEA in the fresh and frozen specimens (p > 0.05 for all). CONCLUSION: Pleural fluid CEA is seemingly stable when stored at -80°C to -70°C for 1-3 years. Frozen storage does not significantly affect the diagnostic accuracy of CEA for MPE.

AMHconverter: an online tool for converting results between the different anti-Müllerian hormone assays of Roche Elecsys®, Beckman Access, and Kangrun.

Background: The anti-Müllerian hormone (AMH) is gaining attention as a key factor in determining ovarian reserve and polycystic ovarian syndrome, and its clinical applications are becoming more widespread worldwide. Objective: To identify the most accurate formula for converting AMH assay results between different platforms, so that the developed AMH converter can be used to reduce the need for multiple AMH tests at different hospitals. Methods: Assuming that the Beckman Access, Kangrun, and Roche Elecsys® AMH assays fit a linear relationship from the lowest to the highest concentration (a global relationship), we used Passing-Bablok regression to determine the conversion equation between each two assays. When the relationship between two AMH assays was a local one, spline regression was used. Bland-Altman plots were drawn to check systemic bias and heterogeneity of variance across different ranges of values. The fitting effects of the models were evaluated using the squared coefficient of determination (r2), adjusted r2, root mean square error (RMSE), Akaike information criterion (AIC), and corrected AIC. Results: The coefficient of variance for multiple controls in the Kangrun, Roche, and Beckman assays was lower than 5%, and the bias of multiple controls was lower than 7%. A global linear relationship was observed between the Kangrun and Roche assays, with the intercept being zero, for which Passing-Bablok regression was employed for data conversion between the two platforms. For the other two pairs of platforms, i.e., Roche and Kangrun or Beckman and Kangrun, spline regression was applied, with the intercepts not including zero. The six corresponding formulas were developed into an online AMH converter (http://121.43.113.123:8006/). Conclusion: This is the first time Passing-Bablok plus spline regression has been used to convert AMH concentrations from one assay to another. The formulas have been developed into an online tool, which makes them convenient to use in practical applications.

Therapeutic efficacy of platelet transfusion treated with amotosalen/UVA pathogen inactivation technology (INTERCEPTTM Blood System) in acute myeloid leukemia patients undergoing chemotherapy with curative intent: a single center experience.

BACKGROUND: The INTERCEPTTM Blood System (Intercept Blood System, Cerus Europe BV, Amersfoort, the Netherlands) has been used to reduce or inactivate pathogen load in platelet concentrates in France for three years. MATERIALS AND METHODS: After comparing the transfusion efficiency between pathogen-reduced platelets (PR_PLT) and untreated platelet products (U_PLT), our single-center observational study assessed the effectiveness of PR_PLT for the prevention of bleeding and for therapeutic treatment of WHO grade 2 bleeding in 176 patients undergoing chemotherapy with curative intent for acute myeloid leukemia (AML). The main endpoints were the 24-hour (h) corrected count increment (24h_CCI) after each transfusion, and time to next transfusion. RESULTS: Whereas the transfused doses tended to be higher in the PR_PLT group compared to U_PLT, there was a significant difference in intertransfusion interval (ITI) and 24h_CCI. In prophylactic transfusions, PR_PLT transfusions of >0.65×1011/10 kg, regardless of the age of the product (day 2 to day 5), resulted in a 24h_CCI similar to that of the untreated platelet product; this meant the patient could be transfused at least every 48h. In contrast, most PR_PLT transfusions of <0.55×1011/10 kg did not achieve a transfusion interval of 48h. In the context of WHO grade 2 bleeding, PR_PLT transfusions >0.65×1011/10 kg and storage of less than 4 days seems more effective in stopping bleeding. DISCUSSION: These results, which must be confirmed by prospective studies, indicate the need for vigilance regarding the quantity and quality of PR_PLT products used to treat patients at risk of bleeding crisis. Future prospective studies are needed to confirm these findings.

Body mass index and the risk of abdominal hernia: a Mendelian randomization study.

PURPOSE: Abdominal hernia (AH) is one of the most common clinical diseases. A large number of observational studies have found that obesity is an important risk factor for AH. However, the causal relationship between obesity and AH cannot be determined because of the clinical studies on AH induced by obesity are relatively few and only have some small- or medium-scale observational studies. Observational studies have so many confounding factors and reverse causality due to their shortcomings. From an evidence-based medicine perspective, they are not sufficiently convincing. Therefore, there is still a lack of high-quality, evidence-based medical evidence supporting a causal relationship between obesity and AH. A causal relationship between obesity and AH is also almost impossible to confirm by randomized controlled trials (RCTs). Our study based on Mendelian randomization (MR) may provide a higher level of evidence-based medical support for the relationship between obesity and AH. Body mass index (BMI) is the most common measure used for defining obesity. Finally, we employed two-sample Mendelian randomization (TSMR) to explore the causal relationship between BMI and AH. METHODS: AH-related single nucleotide polymorphisms (SNPs) data were obtained from the FinnGen Biobank (FB), and BMI-related single nucleotide polymorphisms (SNPs) data were obtained from the UK Biobank (UKB). Genetic loci are used as instrumental variables (IVs), methods such as inverse variance weighted (IVW) were used for two-sample Mendelian randomization analysis, and the odds ratio (OR) value was used to evaluate the causal relationship between BMI and AH. RESULTS: The results of the horizontal pleiotropy test were calculated by Egger-intercept method: p = 0.34 > 0.05. The Cochran Q test of MR-Egger method and IVW method showed heterogeneity P = 0.03 < 0.05, so the IVW random effect model was used as the gold standard. We found a genetically determined 1-standard deviation (SD) increment of BMI causally increased a 66.0% risk of AH (N = 371 SNPs, OR = 1.66, 95% CI 1.46-1.89, p = 1.55E-14) based on the IVW random effect model which was almost consistent with the results of other seven methods. CONCLUSIONS: Our MR found genetic evidence for BMI and AH. The risk of developing AH increases with the number of BMI. This finding provides further evidence that maintaining a healthy BMI can prevent the development of AH. In addition, clinicians may need to focus on the potential risk of AH on some high-BMI patients.

A Mendelian randomization study of the effect of serum 25-hydroxyvitamin D levels on autoimmune thyroid disease.

Objective: The influence of vitamin D on autoimmune thyroid disease (AITD) remains a subject of ongoing debate. This study employs Mendelian randomization (MR) to investigate the causal correlations of serum 25-hydroxyvitamin D (25[OH]D) levels with autoimmune thyroiditis (AIT), autoimmune hyperthyroidism (AIH), and Graves disease (GD). Methods: Data on single nucleotide polymorphisms related to serum 25(OH)D levels, AIT, AIH, and GD were sourced from UK Biobank and FinnGen. Inverse variance weighted, MR-Egger, and weighted median were employed to test the exposure-outcome causal relationship. Assessments of horizontal pleiotropy, heterogeneity, and stability were performed using the MR-Egger intercept, Cochran's Q test, and leave-one-out sensitivity analysis, respectively. Results: The results of MR analysis showed increased serum 25(OH)D levels was associated with a reduced risk of AIT (OR 0.499, 95% CI 0.289 to 0.860, p = 0.012) but not causal associated with AIH (OR 0.935, 95% CI 0.695 to 1.256, p = 0.654) and GD (OR 0.813, 95% CI 0.635 to 1.040, p = 0.100). Intercept analysis showed no horizontal pleiotropy (p > 0.05), and Cochran's Q test showed no heterogeneity (p > 0.05). Sensitivity analysis suggested that these results were robust. Conclusion: An increased serum 25(OH)D level is associated with AIT risk reduction but unrelated to AIH and GD. This finding suggests that vitamin D supplementation can be valuable for preventing and treating AIT.

[The establishment and multicenter application of internal quality control system for real-time quantitative PCR detection of BCR-ABL (P210) transcript level].

Objective: The study aims to establish a perfect BCR-ABL (P210) internal quality control system and ensure the long-term stability and comparability of the detection results between laboratories and to popularize and apply it in the three hospitals. Methods: The Qilu Hospital of Shandong University (H1) prepared a set of the BCR-ABL (P210) quality control substances to establish and improve internal quality control system. We went to other three participating hospitals (H2, H3, and H4) to inspect quality control before the measurement. In addition, we mailed 25 sets of quality control substances to each of the hospital for detection. The slope and intercept of the standard curve of each hospital and the detection results were analyzed and statistically judged using the Levey-Jennings quality control chart combined with the Westgard multirule theory. Then, we made a quality control evaluation. Results: ①An internal quality control system for the BCR-ABL (P210) transcript levels monitoring was successfully established for the quality inspection before the measurement, statistical judgment during the measurement, and evaluation after the measurement. ② Both the slope and intercept of the standard curve of the four hospitals was under control. ③The multicenter quality control substance judgment results were as follows: for H1 hospital, two times of "1(2s)" warning were found in the middle-level quality control substance, which was judged as being under control; for H2 hospital, one time of "1(2s)" warning was found for each quality control substance, which was judged as being "2(2s)" out of control; for H3 hospital, its high-level quality control substance violated the "1(3s)" rule, and low-level quality control substance appeared "1(2s)" warning, which was judged as "1(3s)" out of control; and all quality control substances were under control in H4 hospital. ④The quality control evaluation and correction were as follows: two hospitals were under control, and the other two hospitals had an "out of control." We found out the reason for the out of control and corrected them. ⑤The comparisons of the original values of the multicenter quality control substance were as follows: there were statistical differences in the results of high-level quality control substance among the four hospitals, and no significant difference was found in the results of the medium-level and low-level quality control substance. ⑥The comparisons of the IS values of the multicenter quality control substance were as follows: the IS values of the three quality control substance in H2 and H3 hospitals were significantly higher than those of H1 hospital, and H2 hospital was significantly higher than H3 hospital. Conclusion: A perfect and stable internal quality control system for the BCR-ABL (P210) transcripts has been established, which can effectively ensure the accuracy and stability of the clinical detection results. This internal quality control system has been successfully popularized and applied in other hospitals.

The effects of nonyl phenoxypolyethoxyl ethanol on cell damage pathway gene expression in SK-NSH cells.

BACKGROUND/AIMS: Most pesticide formulations contain both chief and additive ingredients. But, the additives may not have been tested as thoroughly as the chief ingredients. The surfactant, nonyl phenoxypolyethoxylethanol (NP40), is an additive frequently present in pesticide formulations. We investigated the effects of NP40 and other constituents of a validamycin pesticide formulation on cell viability and on the expression of genes involved in cell damage pathways. METHODS: The effects of validamycin pesticide ingredients on cell viability and of NP40 on the mRNA expression of 80 genes involved in nine key cellular pathways were examined in the human neuroblastoma SK-N-SH cell line. RESULTS: The chemicals present in the validamycin pesticide formulation were cytotoxic to SK-N-SH cells and NP40 showed the greatest cytotoxicity. A range of gene expression changes were identified, with both up- and down-regulation of genes within the same pathway. However, all genes tested in the necrosis signaling pathway were down-regulated and all genes tested in the cell cycle checkpoint/arrest pathway were up-regulated. The median fold-change in gene expression was significantly higher in the cell cycle checkpoint/arrest pathway than in the hypoxia pathway category (p = 0.0064). The 70 kDa heat shock protein 4 gene, within the heat shock protein/unfolded protein response category, showed the highest individual increase in expression (26.1-fold). CONCLUSIONS: NP40 appeared to be particularly harmful, inducing gene expression changes that indicated genotoxicity, activation of the cell death (necrosis signaling) pathway, and induction of the 70 kDa heat shock protein 4 gene.