Comparison of liquid chromatography-high-resolution tandem mass spectrometry (MS2) and multi-stage mass spectrometry (MS3) for screening toxic natural products

Background

Liquid chromatography-high-resolution mass spectrometry (LC-HR-MS) has emerged as a powerful analytical technology for compound screening in clinical toxicology. To evaluate the potential of LC-HR-MS3 in detecting toxic natural products, a spectral library of 85 natural products (79 alkaloids) that contains both MS2 and MS3 mass spectra was constructed and used to identify the natural products. Samples were analyzed using an LC-HR-MS3 method and the generated data were matched to the spectral library to identify the natural products.

Methods

To test the performance of the LC-HR-MS3 method in different sample matrices, the 85 natural product standards were divided into three groups to separate structural isomers and avoid ion suppression effects caused by co-elution of multiple analytes. The grouped analytes were spiked into drug-free serum and drug-free urine to produce contrived clinical samples.

Results

The compound identification results of the 85 natural products in urine and serum samples were obtained. The match scores using both MS2 and MS3 mass spectra and those using only MS2 mass spectra were compared at 10 different analyte concentrations. The two types of data analysis provided identical identification results for the majority of the analytes (96% in serum, 92% in urine), whereas, for the remaining analytes, the MS2-MS3 tree data analysis had better performance in identifying them at lower concentrations.

Conclusion

This study shows that in comparison to LC-HR-MS (MS2), LC-HR-MS3 can increase the performance in identification of a small group of the toxic natural products tested in serum and urine specimens.

[Predictive value of CONUT score and dialysis age for peritoneal dialysis-associated peritonitis]

Objective: To explore the predictive value of controlling nutritional status (CONUT) score and dialysis age for peritoneal dialysis-associated peritonitis (PDAP). Methods: This study was a follow-up study. Patients with end-stage renal disease who received peritoneal dialysis (PD) for the first time in the Department of Nephrology, the Third Affiliated Hospital of Suzhou University from January 2010 to December 2020 were enrolled in the study. Patients were divided into non-peritonitis group, mono group (only once PDAP occurred in one year) and frequent group (twice or more PDAP occurred in one year) according to the occurrence and frequency of PDAP during follow-up. The demographic, clinical and laboratory data of patients were collected, and the body mass index and CONUT score were recorded after half a year. Cox regression analysis was used to screen the relevant factors, and receiver operating characteristic (ROC) curve was used to analyze the predictive value of CONUT score and dialysis age for PDAP. Results: A total of 324 PD patients were included, with 188 males (58.0%) and 136 females (42.0%), and aged［M（Q₁，Q₃）］48 (37, 60) years old. The follow-up time was 33 (19, 56) months. PDAP occurred in 112 patients (34.6%), including 63 patients (19.4%) in mono group and 49 patients (15.1%) in frequent group. Multivariate Cox regression analysis showed that half-year CONUT score (HR=1.159, 95%CI: 1.047-1.283, P=0.004) was a risk factor for PDAP, and the baseline CONUT score (HR=1.194, 95%CI: 1.012-1.408, P=0.036) was a risk factor for frequent peritonitis. The area under ROC curve of baseline CONUT score combined with dialysis age in predicting PDAP and frequent peritonitis was 0.682 (95%CI: 0.628-0.733) and 0.676 (95%CI: 0.622-0.727), respectively. Conclusion: CONUT score and dialysis age have certain predictive value for PDAP, and the predictive value of combined diagnosis is higher, which may be used as a potential predictor for PDAP in PD patients.

Impact of multiple substance use on circulating ST2, a biomarker of adverse cardiac remodelling, in women

CONTEXT

Cardiovascular disease (CVD) and heart failure (HF) are major causes of mortality in low-income populations and differ by sex. Risk assessment that incorporates cardiac biomarkers is common. However, research evaluating the utility of biomarkers rarely includes controlled substances, which may influence biomarker levels and thus influence CVD risk assessment.

MATERIALS AND METHODS

We identified the effects of multiple substances on soluble "suppression of tumorigenicity 2" (sST2), a biomarker of adverse cardiac remodelling, in 245 low-income women. Adjusting for CVD risk factors, we examined associations between substance use and sST2 over six monthly visits.

RESULTS

Median age was 53 years and 74% of participants were ethnic minority women. An sST2 level > 35 ng/mL (suggesting cardiac remodelling) during ≥1 study visit was observed in 44% of participants. In adjusted analysis, higher sST2 levels were significantly and positively associated with the presence of cocaine (Adjusted Linear Effect [ALE]:1.10; 95% CI:1.03-1.19), alcohol (ALE:1.10; 95% CI:1.04-1.17), heroin (ALE:1.25; 95% CI:1.10-1.43), and the interaction between heroin and fentanyl use.

CONCLUSION

Results suggest that the use of multiple substances influences the level of sST2, a biomarker often used to evaluate cardiovascular risk. Incorporating substance use alongside cardiac biomarkers may improve CVD risk assessment in vulnerable women.

Transient expression of antinuclear RNP-A antibodies in patients with acute COVID-19 infection

Introduction

Viral infections have been implicated in the initiation of the autoimmune diseases. Recent reports suggest that a proportion of patients with COVID-19 develop severe disease with multiple organ injuries. We evaluated the relationship between COVID-19 severity, prevalence and persistence of antinuclear and other systemic and organ specific autoantibodies as well as SARS-CoV2 infection specific anti-nucleocapsid (N) IgG antibodies and protective neutralizing antibody (Nab) levels.

Methods

Samples from 119 COVID-19 patients categorized based on their level of care and 284 healthy subjects were tested for the presence and persistence of antinuclear and other systemic and organ specific autoantibodies as well as SARS-CoV2 and neutralizing antibody levels.

Results

The data shows significantly increased levels of anti RNP-A, anti-nucleocapsid and neutralizing antibody among patients receiving ICU care compared to non-ICU care. Furthermore, subjects receiving ICU care demonstrated significantly higher nucleocapsid IgG levels among the RNP-A positive cohort compared to RNP-A negative cohort. Notably, the expression of anti RNP-A antibodies is transient that reverts to non-reactive status between 20 and 60 days post symptom onset.

Conclusions

COVID-19 patients in ICU care exhibit significantly higher levels of transient RNP-A autoantibodies, anti-nucleocapsid, and SARS-CoV2 neutralizing antibodies compared to patients in non-ICU care.

Development and application of a High-Resolution mass spectrometry method for the detection of fentanyl analogs in urine and serum

•

Utilization of the fentanyl analog screening kit from the Centers for Disease ControlDevelopment of a fentanyl analog high resolution mass spectrometry library.

•

Fentanyl analogs are rarely identified without the co-occurrence of fentanyl.

•

Fentanyl analogs fragmentation occurs at two specific bonds generating two dominate ions.

Introduction

The use of illicitly manufactured synthetic opioids, specifically fentanyl and its analogs, has escalated exponentially in the United States over the last decade. Due to the targeted nature of drug detection methods in clinical laboratories and the ever-evolving list of synthetic opioids of concern, alternative analytical approaches are needed.

Methods

Using the fentanyl analog screening (FAS) kit produced by the Centers for Disease Control and Prevention (CDC), we developed a liquid chromatography-high resolution mass spectrometry (LC-HRMS) synthetic opioid spectral library and data acquisition method using information dependent acquisition of product ion spectra. Chromatographic retention times, limits of detection and matrix effects, in urine and serum, for the synthetic opioids in the FAS kit (n = 150) were established. All urine and serum specimens sent to a clinical toxicology laboratory for comprehensive drug testing in 2019 (n = 856) and 2021 (n = 878) were analyzed with the FAS LC-HRMS library to determine the prevalence of fentanyl analogs and other synthetic opioids, retrospectively (2019) and prospectively (2021).

Results

The limit of detection (LOD) of each opioid ranged from 1 to 10 ng/mL (median, 2.5 ng/mL) in urine and 0.25–2.5 ng/mL (median, 0.5 ng/mL) in serum. Matrix effects ranged from −79 % to 86 % (median, −37 %) for urine, following dilution and direct analysis, and −80 % to 400 % (median, 0 %) for serum, following protein precipitation. The prevalence of fentanyl/fentanyl analogs in serum samples increased slightly from 2019 to 2021 while it remained the same in urine. There were only 2 samples identified that contained a fentanyl analog without the co-occurrence of fentanyl or fentanyl metabolites. Analysis of the established MS/MS spectral library revealed characteristic fragmentation patterns in most fentanyl analogs, which can be used for structure elucidation and drug identification of future analogs.

Conclusions

The LC-HRMS method was capable of detecting fentanyl analogs in routine samples sent for comprehensive drug testing. The method can be adapted to accommodate testing needs for the evolving opioid epidemic.

Neutralizing antibody activity against SARS-CoV-2 variants in gestational age-matched mother-infant dyads after infection or vaccination

Pregnancy confers unique immune responses to infection and vaccination across gestation. To date, there are limited data comparing vaccine- and infection-induced neutralizing Abs (nAbs) against COVID-19 variants in mothers during pregnancy. We analyzed paired maternal and cord plasma samples from 60 pregnant individuals. Thirty women vaccinated with mRNA vaccines (from December 2020 through August 2021) were matched with 30 naturally infected women (from March 2020 through January 2021) by gestational age of exposure. Neutralization activity against the 5 SARS-CoV-2 spike sequences was measured by a SARS-CoV-2-pseudotyped spike virion assay. Effective nAbs against SARS-CoV-2 were present in maternal and cord plasma after both infection and vaccination. Compared with WT spike protein, these nAbs were less effective against the Delta and Mu spike variants. Vaccination during the third trimester induced higher cord-nAb levels at delivery than did infection during the third trimester. In contrast, vaccine-induced nAb levels were lower at the time of delivery compared with infection during the first trimester. The transfer ratio (cord nAb level divided by maternal nAb level) was greatest in mothers vaccinated in the second trimester. SARS-CoV-2 vaccination or infection in pregnancy elicits effective nAbs with differing neutralization kinetics that are influenced by gestational time of exposure.

Longitudinal Study of SARS-CoV-2 Antibody Characteristics Using Label-Free Immunoassays

Introduction/Objective

Since the start of the COVID-19 pandemic, much research has focused on the kinetics and magnitude of humoral immune response. With the advantages of monitoring real-time immunoreactions, label-free immunoassay (LFIA) is becoming a powerful tool in serology studies. We have developed LFIAs to measure SARS- CoV-2 antibody avidity and neutralization activity in a cohort of COVID-19 patients and determine if they correlate with antibody concentration. Serial serum samples collected from mild to severe COVID-19 patients were measured out to 8 months post-symptom onset to determine the durability of the neutralizing antibody response.

Methods/Case Report

Based on thin-film interferometry technology, we established a label-free IgG avidity assay and a label-free surrogate virus neutralization test (LF-sVNT). For measurement, sensing probes pre-coated with receptor-binding domain (RBD) of SARS-CoV-2 spike protein are applied to serum samples containing SARS-CoV-2 antibodies. The label-free IgG avidity assay measures the binding strength between RBD and IgG under urea dissociation. The LF-sVNT analyzes the binding ability of RBD to ACE2 after neutralizing RBD with antibodies.

Results (if a Case Study enter NA)

IgG avidity indices and neutralizing antibody titers (IC50) were determined from serum samples (n=246) from COVID-19 patients (n=113). IgG concentrations were measured using a fluorescent immunoassay. The neutralizing antibody titers showed a weak correlation with IgG concentrations and no correlation with IgG avidity indices. Over the time course up to 8 months post-symptom onset, IgG concentrations and neutralizing antibody titers presented similar trends: an initial rise, plateau and then in some cases a gradual decline after 40 days. The IgG avidity indices, in the same cases, plateaued after the initial rise.

Conclusion

The results demonstrated that LFIA could be used an excellent solution in the determination of SARS- CoV-2 antibody characteristics. The study found that IgG concentration and neutralizing antibody titer declined over time, while IgG avidity index remained constant after reaching a plateau. The decline of antibody neutralization activity can be attributed to the reduction in antibody quantity rather than the deterioration of antibody quality, as measured by antibody avidity.

COVID-19 mRNA Vaccination in Lactation: Assessment of adverse events and vaccine related antibodies in mother-infant dyads

BACKGROUND

Data regarding adverse events observed in the lactating mother-infant dyad and their immune response to COVID-19 mRNA vaccination during lactation are needed to inform vaccination guidelines.

METHODS

From a prospective cohort of 50 lactating individuals who received mRNA-based vaccines for COVID-19 (mRNA-1273 and BNT162b2), blood and milk samples were collected prior to first vaccination dose, immediately prior to 2nd dose, and 4-10 weeks after 2nd dose. Symptoms in mother and infant were assessed by detailed questionnaires. Anti-SARS-CoV-2 antibody levels in blood and milk were measured by Pylon 3D automated immunoassay and ELISA. In addition, vaccine-related PEGylated proteins in milk were measured by ELISA. Blood samples were collected from a subset of infants whose mothers received the vaccine during lactation (4-15 weeks after mothers' 2nd dose).

RESULTS

No severe maternal or infant adverse events were reported in this cohort. Two mothers and two infants were diagnosed with COVID-19 during the study period. PEGylated proteins, were not found at significant levels in milk after vaccination. After vaccination, levels of anti-SARS-CoV-2 IgG and IgM significantly increased in maternal plasma and there was significant transfer of anti-SARS-CoV-2-Receptor Binding Domain (anti-RBD) IgA and IgG antibodies to milk. Milk IgA levels after the 2nd dose were negatively associated with infant age. Anti-SARS-CoV-2 IgG antibodies were not detected in the plasma of infants whose mothers were vaccinated during lactation.

CONCLUSIONS

COVID-19 mRNA vaccines generate robust immune responses in plasma and milk of lactating individuals without severe adverse events reported.

Passive and active immunity in infants born to mothers with SARS-CoV-2 infection during pregnancy: Prospective cohort study

OBJECTIVE

To investigate maternal immunoglobulins' (IgM, IgG) response to SARS-CoV-2 infection during pregnancy and IgG transplacental transfer, to characterize neonatal antibody response to SARS-CoV-2 infection, and to longitudinally follow actively- and passively-acquired SARS-CoV-2 antibodies in infants.

DESIGN

A prospective observational study.

SETTING

A public healthcare system in Santa Clara County (CA, USA).

PARTICIPANTS

Women with SARS-CoV-2 infection during pregnancy and their infants were enrolled between April 15, 2020 and March 31, 2021.

OUTCOMES

SARS-CoV-2 serology analyses in the cord and maternal blood at delivery and longitudinally in infant blood between birth and 28 weeks of life.

RESULTS

Of 145 mothers who tested positive for SARS-CoV-2 during pregnancy, 86 had symptomatic infections: 78 with mild-moderate symptoms, and eight with severe-critical symptoms. Of the 147 newborns, two infants showed seroconversion at two weeks of age with high levels of IgM and IgG, including one premature infant with confirmed intrapartum infection. The seropositivity rates of the mothers at delivery was 65% (95% CI 0.56-0.73) and the cord blood was 58% (95% CI 0.49-0.66). IgG levels significantly correlated between the maternal and cord blood (Rs= 0.93, p< 0.0001). IgG transplacental transfer ratio was significantly higher when the first maternal positive PCR was 60-180 days before delivery compared to <60 days (1.2 vs. 0.6, p=<0.0001). Infant IgG negative conversion rate over follow-up periods of 1-4, 5-12, and 13-28 weeks were 8% (4/48), 12% (3/25), and 38% (5/13), respectively. The IgG seropositivity in the infants was positively related to IgG levels in the cord blood and persisted up to six months of age.

CONCLUSIONS

Maternal SARS-CoV-2 IgG is efficiently transferred across the placenta when infections occur more than two months before delivery. Maternally-derived passive immunity may protect infants up to six months of life. Neonates mount a strong antibody response to perinatal SARS-CoV-2 infection.

[Interpretation of group standard for Clostridioides difficile infection diagnosis]

Clostridioides difficile is a key pathogen of antibiotic related diarrhea and hospital associated infection, causing several outbreaks in Europe and North Americans and resulting in severe disease burden. However, the standardized diagnostic principle and detection specifications in C. difficile infection (CDI) survey are limited in China, and the infection rate and disease burden of CDI in China are unclear. Therefore, National Institute for Communicable Disease Control and Prevention,National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, together with another 11 institutions, draft the group standard entitled "Diagnosis of Clostridium difficile infection (T/CPMA 008-2020)" of Chinese Preventive Medicine Association. Based on the principle of "legality, scientificity, advancement, and feasibility", this standard clarifies risk factors, diagnosis principles, diagnoses and differential diagnoses in order to improve the accuracy of CDI diagnosis in clinical practice, guide the surveillance for CDI, and understand the infection rate and disease burden of CDI in China.

Prognostic gene expression signature for high-grade serous ovarian cancer

BACKGROUND

Median overall survival (OS) for women with high-grade serous ovarian cancer (HGSOC) is ∼4 years, yet survival varies widely between patients. There are no well-established, gene expression signatures associated with prognosis. The aim of this study was to develop a robust prognostic signature for OS in patients with HGSOC.

PATIENTS AND METHODS

Expression of 513 genes, selected from a meta-analysis of 1455 tumours and other candidates, was measured using NanoString technology from formalin-fixed paraffin-embedded tumour tissue collected from 3769 women with HGSOC from multiple studies. Elastic net regularization for survival analysis was applied to develop a prognostic model for 5-year OS, trained on 2702 tumours from 15 studies and evaluated on an independent set of 1067 tumours from six studies.

RESULTS

Expression levels of 276 genes were associated with OS (false discovery rate < 0.05) in covariate-adjusted single-gene analyses. The top five genes were TAP1, ZFHX4, CXCL9, FBN1 and PTGER3 (P < 0.001). The best performing prognostic signature included 101 genes enriched in pathways with treatment implications. Each gain of one standard deviation in the gene expression score conferred a greater than twofold increase in risk of death [hazard ratio (HR) 2.35, 95% confidence interval (CI) 2.02-2.71; P < 0.001]. Median survival [HR (95% CI)] by gene expression score quintile was 9.5 (8.3 to -), 5.4 (4.6-7.0), 3.8 (3.3-4.6), 3.2 (2.9-3.7) and 2.3 (2.1-2.6) years.

CONCLUSION

The OTTA-SPOT (Ovarian Tumor Tissue Analysis consortium - Stratified Prognosis of Ovarian Tumours) gene expression signature may improve risk stratification in clinical trials by identifying patients who are least likely to achieve 5-year survival. The identified novel genes associated with the outcome may also yield opportunities for the development of targeted therapeutic approaches.

Low pretreatment PNI correlates with worse survival in patients with stage III/IV NSCLC who received chemotherapy

The aim of this study was to investigate the prognostic value of the prognostic nutritional index (PNI) on the long-term survival of non-small cell lung cancer (NSCLC) patients who received platinum-based chemotherapy. Data on nutritional parameters and clinicopathological characteristics [e.g., albumin, total protein, body mass index (BMI), eastern cooperative oncology group (ECOG) performance status, stage, pathology, treatment strategy] were analyzed and retrospectively correlated with overall survival (OS). The PNI was calculated based on the concentration of albumin and lymphocyte count [10 × albumin, (g/dl) + 0.005 × lymphocyte (count/mm3)]. A receiver operating characteristic curve (ROC) analysis was used to find the optimal cut-off value of PNI. Univariate and multivariate analyses were used to evaluate the prognostic value of PNI. A total of 186 patients met the inclusion criteria. The optimal cut-off value for PNI was 50.45. Compared with the parameters of the low PNI group (n=76), high PNI was significantly associated with adenocarcinoma type, stage III, better ECOG and comprehensive treatment modality. The univariate analysis demonstrated that OS was superior when PNI ≥50.45, albumin ≥35 g/l, platelet-lymphocyte ratio (PLR) ≥163 and ECOG <2, and when the patient received a comprehensive treatment modality. In the multivariate analysis, PNI, TNM stage and treatment strategy were identified as independent predictors of survival in this study. This retrospective study demonstrated that a low PNI was related to worse overall survival in patients with stage III/IV NSCLC who received platinum-based chemotherapy. These data provided a conceptual basis for further research on the clinical application of the PNI index for patients receiving chemotherapy for intermediate- and advanced-stage NSCLC.

Narrowed reference intervals for complete blood count in a multiethnic population

Background

Biological variation studies have shown that the complete blood count (CBC) has narrow within-individual variation and wide group variation, indicating that the use of reference intervals (RIs) is challenging. The aim of this study was to examine differences in CBC RIs according to race/ethnicity in a multiethnic population at a hospital in San Francisco in hopes of improving the medical utility of CBC testing.

Methods

Subject data were obtained by screening CBC results from the medical records of outpatients meeting certain criteria who visited Zuckerberg San Francisco General Hospital from April 2017 to January 2018. From these records, sex- and race/ethnicity-specific CBC RIs were calculated as the 2.5th to 97.5th percentiles.

Results

From a total of 552 subjects, 47.9% were male (65 White, 50 Black, 71 Hispanic and 54 Asian) and 52.1% were female (51 White, 39 Black, 122 Hispanic and 72 Asian). The RIs of neutrophil, lymphocyte and eosinophil counts; and hemoglobin, mean corpuscular volume (MCV), mean corpuscular hemoglobin (MCH) and mean corpuscular hemoglobin concentration (MCHC) showed significant differences (p<0.05) among the four racial/ethnic groups: neutrophil, lymphocyte and eosinophil counts; and MCHC in males, and hemoglobin, MCV, MCH and MCHC in females.

Conclusions

Race/ethnicity-specific CBC RIs should be taken into consideration in a multiethnic population to better interpret patient status and make progress toward precision medicine.

The Association of Five-Year Changes in the Levels of N-Terminal Fragment of the Prohormone Brain-Type Natriuretic Peptide (NT-proBNP) with Subsequent Heart Failure and Death in Patients with Stable Coronary Artery Disease: The Heart and Soul Study

Background: The N-terminal fragment of the prohormone brain-type natriuretic peptide (NT-proBNP) is a powerful predictor of adverse outcomes in patients with coronary artery disease (CAD). However, little is known regarding the prognostic significance of longitudinal changes in NT-proBNP levels. Methods: We evaluated the ability of 5-year changes in NT-proBNP levels to predict subsequent heart failure (HF) hospitalization or cardiovascular (CV) death in 635 participants with stable CAD enrolled in the Heart and Soul Study. Results: The median (IQR) 5-year change in NT-proBNP was 50 pg/mL (-5 to +222). During an average of 4.0 ± 1.4 years follow-up (i.e., 9 years from the baseline measurement), there were 67 events. Participants with 5-year changes in the highest quartile (≥ 223 pg/mL increase in NT-proBNP) had an almost 4-fold greater risk of subsequent HF or CV death than those in the lowest quartile of ≤-5 pg/mL (HR 3.8; 95% CI 2.0-7.3; p < 0.001). This association remained strong after adjustment for demographic variables, comorbidities, left ventricular mass index, systolic and diastolic function, and baseline and follow-up NT-proBNP levels (HR 3.9; 95% CI 1.1-13.4; p = 0.01). Conclusion: Changes in NT-proBNP levels at 5 years predict subsequent HF or CV death in patients with stable CAD, independent of other prognostic markers, including baseline and follow-up NT-proBNP levels. A stable NT-proBNP level predicts a low risk of subsequent events.

Prognostic impact of FOXF1 polymorphisms in gastric cancer patients

A recent genome-wide association study identified seven single-nucleotide polymorphisms (SNPs) in region 16q24, near the Forkhead box-F1 (FOXF1) gene, which confer susceptibility to esophageal adenocarcinoma. We examined whether these SNPs are associated with clinical outcomes in gastric cancer (GC) patients in Japan and the United States. A total of 362 patients were included in this study: 151 Japanese GC patients treated with first-line S1 plus CDDP (training cohort) and 211 GC patients from Los Angeles County (LAC; validation cohort). Genomic DNA was isolated from whole blood or tumor tissue and analyzed by PCR-based direct DNA sequencing. Cox proportional hazard regression analyses were used to assess relationships between FOXF1 SNPs and progression-free survival (PFS) and overall survival (OS). FOXF1 rs3950627 was significantly associated with survival in both the training and validation cohorts. Japanese patients with the C/C genotype had a longer PFS (median 8.2 vs 5.3 months, hazard ratio (HR) 1.44, P=0.037) and OS (median 16.4 vs 12.2 months, HR 1.44, P=0.043) compared to patients with any A allele. Similarly, LAC patients with the C/C genotype had improved OS (3.9 vs 2.3 years, HR 1.5, P=0.022). Subgroup analyses showed these associations were specific to male patients and primary tumor subsite. Our findings suggest that FOXF1 rs3950627 might be a promising prognostic marker in GC patients.

Explaining Disparities in Ovarian Cancer Incidence Rates between Women of African and European Ancestry: The Role of Genetic Factors

Non-Hispanic White (NHW) women are at higher risk of ovarian cancer than African-American (AA) women. Approximately 30% of the difference in age-adjusted invasive epithelial ovarian cancer incidence rates (AAIR) between the two groups can be explained by differing oophorectomy rates and the prevalence of non-genetic risk and protective factors. Our purpose was to determine how much of the remaining difference in AAIRs could be explained by varying allele frequencies between NHWs and AAs for 18 genome-wide significant common susceptibility variants for ovarian cancer. Using data on 13,385 cases and 24,875 controls from the Ovarian Cancer Association Consortium, a genetic risk score (GRS) was created from 18 single nucleotide polymorphisms (SNPs) associated with ovarian cancer risk following the Collaborative Oncological Gene-environment Study (COGS) effort. Relative risks for each GRS quintile were estimated using conditional logistic regression, adjusting for genetic ancestry and conditioning on study site, age, and race. The population attributable risk percent (PAR) for GRS above the lowest quintile was calculated using the Bruzzi method. Previously reported oophorectomy and non-genetic risk factor (talc, oral contraceptive use, family history of ovarian cancer, endometriosis, parity and tubal ligation) adjusted incidence rates for ovarian cancer in NHWs and AA's were 7.2 and 5.8 per 100,000 respectively. These incidence rates were further adjusted for the contribution of the GRS from this analysis. The subsequent genetic PAR adjusted rate was 5.1 per 100,000 for the European ancestry group and 4.9 for the African ancestry group, after taking into account the different oophorectomy rates and prevalence of non-genetic risk factors. These incidence rates show the unexplained difference in incidence rates between NHWs and AAs is only 3.9%. Future efforts should focus on incorporating novel non-genetic and genetic factors into this analysis to determine whether essentially all of the difference in incidence between these groups can be explained.

The effect of leflunomide on the transplanted endometriosis lesions in SD rats

OBJECTIVE

To investigate the effects of the leflunomide (LEF) on the size of the transplanted endometriosis (EMS) lesions and trans- forming growth factor (TGF) -β1gray level in SD rats.

MATERIALS AND METHODS

EMS was surgically induced in rats by autologous trans- plantation and the focal volume was also measured. The rats were divided into three groups: group A: normal SD rats, group B: rats irrigated by one ml-kg⁻¹d⁻¹ saline for three weeks, and group C: rats irrigated by 35 mg-kg⁻¹d⁻¹ LEF for three weeks. The rats were then sacrificed and measured their focal volume and TGF-β1 gray value with immunohistochemical method.

RESULTS

The sizes of the focal volume in group C were significantly reduced compared to the rats before feeding, and the volume in group C was smaller than group B after feeding and so was the TGF-β1.

CONCLUSION

LEF could be a new therapeutic drug for EMS.

Nonenzymatic Mechanism of Statins in Modulating Cholesterol Particles Formation

Statin drugs are leading medication prescribed for treatment of dyslipidemic patients aimed at preventing both primary and secondary incidences of atherosclerosis-related cardiovascular events. Statin drugs competitively inhibit HMG-CoA reductase enzyme activity, thereby inhibiting cell-mediated cholesterol synthesis and reducing the low-density lipoprotein (LDL) cholesterol concentration of plasma. Conversely, the mechanism by which statins increase high-density lipoprotein (HDL) cholesterol concentration of plasma is not well understood. The plaque array method was used to examine the effect of statins on in vitro cholesterol particle formation. We observed that statins induced high-density cholesterol particle formation in buffer solution with or without the addition of human serum. Besides, simvastatin and lovastatin in their inactive pro-drug forms modulate formation of LDL and HDL cholesterol particles, indicating a novel nonenzymatic mechanism of statins. In a pilot study, screening of serum samples in the assay showed variation among patient samples in response to different statins. Specifically, screening of 50 serum samples with high cholesterol and statin treatment, compared with standard LDL-based measurement of statin efficacy, showed a good correlation for simvastatin (88%) and atorvastatin (84%). Taken together, our data indicate that statins, in addition to inhibiting enzyme-mediated cholesterol synthesis, have the capability to nonenzymatically modulate formation of LDL and HDL cholesterol particles in vitro. Similar interactions occurring in serum may provide a means to alter cholesterol particle formation in vivo.

Obesity and survival among women with ovarian cancer: results from the Ovarian Cancer Association Consortium

Background:

Observational studies have reported a modest association between obesity and risk of ovarian cancer; however, whether it is also associated with survival and whether this association varies for the different histologic subtypes are not clear. We undertook an international collaborative analysis to assess the association between body mass index (BMI), assessed shortly before diagnosis, progression-free survival (PFS), ovarian cancer-specific survival and overall survival (OS) among women with invasive ovarian cancer.

Methods:

We used original data from 21 studies, which included 12 390 women with ovarian carcinoma. We combined study-specific adjusted hazard ratios (HRs) using random-effects models to estimate pooled HRs (pHR). We further explored associations by histologic subtype.

Results:

Overall, 6715 (54%) deaths occurred during follow-up. A significant OS disadvantage was observed for women who were obese (BMI: 30–34.9, pHR: 1.10 (95% confidence intervals (CIs): 0.99–1.23); BMI: ⩾35, pHR: 1.12 (95% CI: 1.01–1.25)). Results were similar for PFS and ovarian cancer-specific survival. In analyses stratified by histologic subtype, associations were strongest for women with low-grade serous (pHR: 1.12 per 5 kg m⁻²) and endometrioid subtypes (pHR: 1.08 per 5 kg m⁻²), and more modest for the high-grade serous (pHR: 1.04 per 5 kg m⁻²) subtype, but only the association with high-grade serous cancers was significant.

Conclusions:

Higher BMI is associated with adverse survival among the majority of women with ovarian cancer.

FGF receptor genes and breast cancer susceptibility: results from the Breast Cancer Association Consortium

BACKGROUND

Breast cancer is one of the most common malignancies in women. Genome-wide association studies have identified FGFR2 as a breast cancer susceptibility gene. Common variation in other fibroblast growth factor (FGF) receptors might also modify risk. We tested this hypothesis by studying genotyped single-nucleotide polymorphisms (SNPs) and imputed SNPs in FGFR1, FGFR3, FGFR4 and FGFRL1 in the Breast Cancer Association Consortium.

METHODS

Data were combined from 49 studies, including 53 835 cases and 50 156 controls, of which 89 050 (46 450 cases and 42 600 controls) were of European ancestry, 12 893 (6269 cases and 6624 controls) of Asian and 2048 (1116 cases and 932 controls) of African ancestry. Associations with risk of breast cancer, overall and by disease sub-type, were assessed using unconditional logistic regression.

RESULTS

Little evidence of association with breast cancer risk was observed for SNPs in the FGF receptor genes. The strongest evidence in European women was for rs743682 in FGFR3; the estimated per-allele odds ratio was 1.05 (95% confidence interval=1.02-1.09, P=0.0020), which is substantially lower than that observed for SNPs in FGFR2.

CONCLUSION

Our results suggest that common variants in the other FGF receptors are not associated with risk of breast cancer to the degree observed for FGFR2.

Biological variation of galectin-3 and soluble ST2 for chronic heart failure: implication on interpretation of test results

BACKGROUND

Galectin-3 and soluble ST2 (sST2) are novel serum biomarkers of chronic heart failure.

METHODS AND RESULTS

The biological variability of galectin-3 and sST2 was measured from a cohort of 17 healthy subjects where blood was taken once every 2 weeks for 8 weeks (n = 4 samples) and from 12 subjects where blood was taken hourly (for galectin-3 only). The analytical, intraindividual, and interindividual variation were measured for galectin-3 (BG Medicine, Waltham, MA) and sST2 (Critical Diagnostics, San Diego, CA). From these measurements, the reference change (RCV) and index of individuality was 39% (hourly) and 61% (weekly) and 1.0 (hourly and weekly) for galectin-3. Corresponding RCV and index of individuality values for sST2 were 30% and 0.25.

CONCLUSION

The RCV result for sST2 was lower than the corresponding results for galectin-3, B-type natriuretic peptide, and N-terminal pro-B-type natriuretic peptide. These data suggest that sST2 may be more useful for monitoring long-term heart failure, and galectin-3 may be more useful for the diagnosis of heart failure remodeling.

Biomarkers Beyond the Natriuretic Peptides for Chronic Heart Failure: Galectin-3 and Soluble ST2

B-type natriuretic peptide (BNP) and NT-proBNP are widely used plasma biomarkers for the diagnosis of acute decompensated heart failure and prognosis for future cardiac disease. The clinical performance of these tests for management of chronic heart failure is somewhat limited by the markers' high biological variation. Biomarkers such as galectin-3 and soluble ST2 that reflect ongoing remodeling via cardiac fibrosis of the heart may provide complementary information to the natriuretic peptides in the management of chronic heart failure with regards to risk stratification for future adverse cardiac events (death, myocardial infarction, and need for heart transplantation). However, implementation of these biomarkers into routine clinical practice requires documentation that these tests will enable therapeutic decisions that can be made to improve clinical outcomes, and the availability of commercial assays. This report will discuss the need for novel heart failure biomarkers, ideal characteristics of assays, and review and compare the clinical performance of assays for galectin-3 and sST2 for chronic heart failure disease management.

Placental growth factor and B-type natriuretic peptide as independent predictors of risk from a multibiomarker panel in suspected acute coronary syndrome (Acute Risk and Related Outcomes Assessed With Cardiac Biomarkers [ARROW]) study

Most patients presenting to the emergency department with possible cardiac symptoms have low cardiac troponin (cTn) concentrations. A combination of biomarkers that improves risk stratification in patients at very low risk for major adverse cardiovascular events (MACEs) would be beneficial. In this multicenter prospective cohort study, specimens from 598 subjects presenting to 5 emergency departments with suspected acute coronary syndromes were collected on arrival and serially for traditional and novel biomarkers. Subjects were evaluated for MACEs, defined as death, myocardial infarction, or revascularization at 30 and 365 days. Classification and regression tree analysis assessed biomarker and clinical factors associated with MACEs. The 1-year rate of MACE was 10.5% (47 of 449). Rates of death, myocardial infarction, and revascularization were 4.2%, 1.6%, and 4.7%, respectively. The combination of B-type natriuretic peptide (BNP), placental growth factor (PlGF), and estimated glomerular filtration rate (eGFR) was the most accurate predictor of MACEs compared to any other biomarker or clinical factors including cTnI. If BNP was ≤ 65 ng/L and PlGF was ≤ 19.5 ng/L, the negative predictive value for 1-year MACEs was 99.1%. Conversely, BNP >150 ng/L and eGFR ≤ 68 ml/min/1.73 m(2) predicted a very high (36.5%) MACE rate. Prognostic values of BNP and PlGF were incremental (none increased, 2 of 212, 0.9%; only PlGF increased, 30 of 170, 17.6%; only BNP increased, 33 of 153, 21.6%; BNP and PlGF increased, 18 of 86, 20.9%). Considering only initial emergency department samples, 97% and 96% of patients with normal PlGF, BNP, and cTnI levels were event-free at 30 and 365 days, respectively. In conclusion, the combination of BNP, PlGF, and eGFR is the most accurate in risk-stratifying patients with suspected acute coronary syndrome.