Plasma D-asparagine and the D/L-serine ratio reflect chronic kidney diseases in children regardless of physique.

Biomarkers that accurately reflect renal function are essential in management of chronic kidney diseases (CKD). However, in children, age/physique and medication often alter established renal biomarkers. We studied whether amino acid enantiomers in body fluids correlate with renal function and whether they are influenced by physique or steroid medication during development. We conducted a prospective study of children 2 to 18 years old with and without CKD. We analyzed associations of serine/asparagine enantiomers in body fluids with major biochemical parameters as well as physique. To study consequences of kidney dysfunction and steroids on serine/asparagine enantiomers, we generated juvenile mice with uninephrectomy, ischemic reperfusion injury, or dexamethasone treatment. We obtained samples from 27 children, of which 12 had CKD due to congenital (n = 7) and perinatal (n = 5) causes. Plasma D-asparagine and the D/L-serine ratio had robust, positive linear associations with serum creatinine and cystatin C, and detected CKD with high sensitivity and specificity, uninfluenced by body size or biochemical parameters. In the animal study, kidney dysfunction increased plasma D-asparagine and the D/L-serine ratio, but dexamethasone treatment did not. Thus, plasma D-asparagine and the D/L-serine ratio can be useful markers for renal function in children.

Advances in sepsis biomarkers.

Sepsis, a dysregulated host immune response to an infectious agent, significantly increases morbidity and mortality for hospitalized patients worldwide. This chapter reviews (1) the basic principles of infectious diseases, pathophysiology and current definition of sepsis, (2) established sepsis biomarkers such lactate, procalcitonin and C-reactive protein, (3) novel, newly regulatory-cleared/approved biomarkers, such as assays that evaluate white blood cell properties and immune response molecules, and (4) emerging biomarkers and biomarker panels to highlight future directions and opportunities in the diagnosis and management of sepsis.

Cost analysis of 25-hydroxy vitamin D tests in Turkiye with big data: A cross-sectional study.

OBJECTIVE: The high prevalence of vitamin D deficiency in the population causes physicians to request more vitamin D tests and increases laboratory costs. It is aimed at investigating the demanded numbers and cost analyzes of 25-hydroxyvitamin D (25(OH)D) tests with the big data obtained from the national information health system of the Turkish Ministry of Health. METHODS: Between 2017 and 2018, all inpatient and outpatient tests and 25(OH)D tests in all medical biochemistry laboratories in Turkiye were determined based on department and institution type. The cost amount, distribution among health institutions, and test request rates were calculated. In both years, the top ten most expensive tests, according to health institutions, were evaluated. RESULTS: The total number of medical biochemistry tests performed in 2017 and 2018 was 1.424.948.155 and 1.713.134.326, respectively. The number of 25 (OH)D tests analyzed in the same years was 8.698.393 and 13.919.127, respectively. When the data of the 2 years are compared, the consumption of 25 (OH)D tests increased by 37% in General hospital laboratories, whereas it increased by 115.09% in primary health laboratories. When all health institutions were evaluated, the increase rate in 25 (OH)D test demand was 60%, while the cost increase rate was 23%. CONCLUSION: This report showed that the demands for 25(OH)D testing are increasing steeply, especially in primary health-care facilities. In this direction, laboratory information system test demand restrictions in accordance with national and international guidelines are important issues for policymakers.

Exploring the landscape of CA-125 testing: A comprehensive analysis of Ministry of Health data.

OBJECTIVE: The aim of this study was to investigate the utilization patterns and clinical implications of cancer antigen 125 (CA-125) testing in the diagnosis of ovarian and endometrial cancers using a large-scale dataset obtained from the Ministry of Health. METHODS: A retrospective analysis was conducted on anonymized data collected between 2017 and 2021, comprising 3.917.240 individuals who underwent CA-125 testing. The data included demographic information, test results, diagnoses, and clinical characteristics. Descriptive statistics and comparative analyses were performed to assess the utilization trends and clinical outcomes associated with CA-125 testing. RESULTS: Among the study population, CA-125 testing was primarily requested for female individuals, with the highest number of tests performed in the age group of 18-64 years. The overall positive rate for CA-125 was 13.31%, with slightly lower rates observed in females (13.18%) than males (14.07%). The study identified a significant association between elevated CA-125 levels and cancer diagnoses, with 19.88% of positive CA-125 results indicating cancer, whereas 10.51% had no cancer diagnosis. Furthermore, the study revealed a higher likelihood of cancer detection among individuals aged 65 years and above, with a positive rate of 17.79%. CONCLUSION: Our findings provide valuable insights into the utilization patterns and clinical implications of CA-125 testing in ovarian and endometrial cancer diagnosis. While CA-125 remains a prominent tumor marker, its interpretation should consider age, gender, and clinical context. The study emphasizes the potential benefits of integrating additional markers and imaging modalities to enhance diagnostic accuracy. These findings contribute to optimizing the use of CA-125 testing for early detection and management of gynecological malignancies, thereby improving patient outcomes.

Drug interference with biochemical laboratory tests.

Clinical laboratory practice represents an essential part of clinical decision-making, as it influences 60-70% of medical decisions at all levels of health care. Results of biochemical laboratory tests (BLTs) have a key role in establishment of adequate diagnosis as well as in evaluation of treatment progress and outcome. The prevalence of drug-laboratory test interactions (DLTIs) is up to 43% of patients who had laboratory results influenced by drugs. Unrecognized DLTIs may lead to misinterpreted BLTs results, incorrect or delayed diagnosis, extra costs for unnecessary additional tests or inadequate therapy, as all may cause false clinical decisions. The significance of timely and adequate recognition of DLTIs is to prevent common clinical consequences such as incorrectly interpreted test results, delayed or non-treated condition due to erroneous diagnosis or unnecessary extra tests or therapy. Medical professionals should be educated that it is essential to obtain patient data about medications especially for the drugs used in the last 10 days before biological material collection. Our mini-review aims to provide a comprehensive overview of the current state in this important domain of medical biochemistry with detailed analysis of the effect of drugs on BLTs and to give detailed information to medical specialists.

Laboratory medicine in arterial hypertension.

In the initial diagnostics of arterial hypertension (AH) laboratory medicine is a cornerstone, along with a blood pressure (BP) measurement and an electrocardiogram. It mainly refers to routine blood and urine tests for diagnosis and monitoring primary hypertension and its associated conditions such as asymptomatic hypertension-mediated organ damage, chronic kidney disease and hypertensive disorders of pregnancy. In addition, long term non-fatal and fatal risks for cardiovascular (CV) events in hypertension are assessed based on clinical and laboratory data. Furthermore, laboratory medicine is involved in the management of hypertension, especially in monitoring the disease progression. However, antihypertensive drugs may interfere with laboratory test results. Diuretics, especially thiazides, can affect blood and urine sodium concentrations, or angiotensin-converting enzyme inhibitors and angiotensin receptor blockers can affect the blood biomarkers of the renin-angiotensin-aldosterone system (RAAS). It's dysfunction plays a critical role in primary aldosteronism (PA), the most common endocrine disorder in secondary hypertension, which accounts for only small proportion of AH in relative terms but substantial proportion of hypertensives in absolute terms, affecting younger population and carrying a higher risk of CV mortality and morbidity. When screening for PA, aldosterone-to-renin ratio still contributes massively to the increased incidence of the disease, despite certain limits. In conclusion, laboratory medicine is involved in the screening, diagnosis, monitoring and prognosis of hypertension. It is of great importance to understand the preanalytical and analytical factors influencing final laboratory result.

Mining biomarkers from routine laboratory tests in clinical records associated with air pollution health risk assessment.

Clinical laboratory in hospital can produce amounts of health data every day. The purpose of this study was to mine biomarkers from clinical laboratory big data associated with the air pollution health risk assessment using clinical records. 13, 045, 629 clinical records of all 27 routine laboratory tests in Changsha Central Hospital, including ALB, TBIL, ALT, DBIL, AST, TP, UREA, UA, CREA, GLU, CK, CKMB, LDL-C, TG, TC, HDL-C, CRP, WBC, Na, K, Ca, Cl, APTT, PT, FIB, TT, RBC and those daily air pollutants concentration monitoring data of Changsha, including PM2.5, PM10, SO2, NO2, CO, and O3 from 2014 to 2016, were retrieved. The moving average method was used to the biological reference interval was established. The tests results were converted into daily abnormal rate. After data cleaning, GAM statistical model construction and data analysis, a concentration-response relationship between air pollutants and daily abnormal rate of routine laboratory tests was observed. Our study found that PM2.5 had a stable association with TP (lag07), ALB (lag07), ALT (lag07), AST (lag07), TBIL (lag07), DBIL (lag07), UREA (lag07), CREA (lag07), UA (lag07), CK (lag 06), GLU (lag07), WBC (lag07), Cl (lag07) and Ca (lag07), (P < 0.05); O3 had a stable association with AST (lag01), CKMB (lag06), TG (lag07), TC (lag05), HDL-C (lag07), K (lag05) and RBC (lag07) (P < 0.05); CO had a stable association with UREA (lag07), Na (lag7) and PT (lag07) (P < 0.05); SO2 had a stable association with TP (lag07) and LDL-C (lag0) (P < 0.05); NO2 had a stable association with APTT (lag7) (P < 0.05). These results showed that different air pollutants affected different routine laboratory tests and presented different pedigrees. Therefore, biomarkers mined from routine laboratory tests may potentially be used to low-cost assess the health risks associated with air pollutants.

Clinically refined epidemiology of nontuberculous mycobacterial pulmonary disease in South Korea: overestimation when relying only on diagnostic codes.

BACKGROUND: There have been reports of increases in the incidence and prevalence of nontuberculous mycobacterial pulmonary disease (NTM-PD) in several countries, but no studies have analyzed claims data using laboratory tests. This study aimed to estimate the nationwide epidemiology and medical treatments of NTM-PD according to laboratory tests run in Korea. METHODS: Using claims data from the Health Insurance Review and Assessment Service, we analyzed patients with nontuberculous mycobacterium (ICD-10: A31) who were diagnosed from Jan 2007 to Jun 2019. The incidence and prevalence of NTM-PD and whether related laboratory tests were performed were analyzed. Diagnostic code-based NTM-PD patients were defined as patients who had NTM as a diagnosis on at least 2 occasions within 180 days. Clinically refined NTM-PD patients were defined as those excluding hospital-diagnosed patients with acid-fast bacilli (AFB) culture rates less than 5%. Laboratory tests included AFB smears, AFB culture, NTM identification, and drug susceptibility tests (DSTs). RESULTS: A total of 60,071 diagnostic code-based NTM-PD patients were evaluated. Clinically refined NTM-PD included 45,321 patients, excluding 14,750 (24.6%) patients diagnosed in hospitals with low AFB culture rates. The annual incidence per 100,000 population increased from 2.9 cases in 2008 to 12.3 cases in 2018. The annual prevalence per 100,000 population increased from 5.3 cases in 2008 to 41.7 cases in 2018. After removing outliers according to the AFB culture rate, a significant decrease in incidence was observed in women younger than 50 years. Among patients with clinically refined NTM-PD, the test rates for AFB culture, NTM identification, and DST were 84.3%, 59.1%, and 40.4%, respectively. From the outpatient clinic, 17,977 (39.7%) patients were prescribed drugs related to NTM treatment, with a median number of prescriptions of 7 (interquartile range (IQR) 3-11) and a median duration from the diagnosis to end of treatment of 330 (IQR 118-578) days. CONCLUSIONS: Although the incidence and prevalence of NTM-PD are on the rise, the recent surge in women 50 years of age is overestimated in patients not adequately tested. In claim-based studies, there may be limitations in estimating the epidemiological data with only the diagnostic codes.

Awareness of drug laboratory test interactions is important for prevention of unnecessary additional diagnostics: An example.

BACKGROUND: Elevated levels of Chromogranin A (CgA) may be indicative of a neuroendocrine tumour (NET), but increased levels are also observed after intake of proton pump inhibitors (PPIs). The incidence of diagnostic confusion because of this drug-laboratory test interaction (DLTI) was examined. METHODS: Medical records of 238 patients with elevated CgA concentrations were obtained from three hospitals. The following data were extracted: PPI prescription at the time of CgA measurement, medical decision making based on elevated CgA concentrations, final diagnosis, comorbidity and other prescribed drugs. RESULTS: From 238 patients with elevated CgA concentrations, 132 used PPIs. Of these patients, 57 patients did not have a NET. In 9 of these 57 patients (16%), diagnostic work up revealed no medical cause of an elevated CgA concentration. Somatostatin receptor imaging was ordered in 4 out of 9 cases, with no abnormalities observed. In 6 out of 9 cases, CgA measurement was repeated after PPI discontinuation resulting in normalisation of CgA concentrations. CONCLUSION: In this retrospective patient record study we observed that part of the elevated CgA concentrations in patients could be caused by the usage of PPIs causing unnecessary diagnostic work-up for the exclusion of a NET. These observations illustrate the need for better DLTI awareness.

Chiral resolution of plasma amino acids reveals enantiomer-selective associations with organ functions.

Plasma amino acids reflect the dynamics of amino acids in organs and their levels have clinical significance. Amino acids as clinical indicators have been evaluated as a mixture of D- and L-amino acids because D-enantiomers are believed to be physiologically nonexistent. However, it has become clear that some D-amino acids are synthesized by endogenous enzymes and symbiotic bacteria. Here, using a two-dimensional HPLC system, we measured enantiomers of all proteinogenic amino acids in plasma and urine and analyzed for correlation with other biochemical parameters in humans who underwent health checkups at our institutional hospital. Four D-amino acids (D-asparagine, D-alanine, D-serine, and D-proline) were detected in the plasma, amounting to less than 1% of the quantities of L-amino acids, but in the urine at several tens of percent, showing that D-amino acids have much higher fractional excretion than their L-counterparts. Detected plasma D-amino acids and D-/L-amino acid ratios were well correlated with renal parameters, such as blood urea nitrogen, creatinine, and cystatin C. On the other hand, a set of plasma L-amino acids were associated with body mass index and correlated with metabolic parameters such as liver enzymes, lipids, blood glucose, and uric acid. Thus, chiral resolution of plasma amino acids revealed totally different associations of the enantiomers with organ functions, and warrants further investigation for clinical and laboratory usefulness.

Evaluating the state of the art in missing data imputation for clinical data.

Clinical data are increasingly being mined to derive new medical knowledge with a goal of enabling greater diagnostic precision, better-personalized therapeutic regimens, improved clinical outcomes and more efficient utilization of health-care resources. However, clinical data are often only available at irregular intervals that vary between patients and type of data, with entries often being unmeasured or unknown. As a result, missing data often represent one of the major impediments to optimal knowledge derivation from clinical data. The Data Analytics Challenge on Missing data Imputation (DACMI) presented a shared clinical dataset with ground truth for evaluating and advancing the state of the art in imputing missing data for clinical time series. We extracted 13 commonly measured blood laboratory tests. To evaluate the imputation performance, we randomly removed one recorded result per laboratory test per patient admission and used them as the ground truth. DACMI is the first shared-task challenge on clinical time series imputation to our best knowledge. The challenge attracted 12 international teams spanning three continents across multiple industries and academia. The evaluation outcome suggests that competitive machine learning and statistical models (e.g. LightGBM, MICE and XGBoost) coupled with carefully engineered temporal and cross-sectional features can achieve strong imputation performance. However, care needs to be taken to prevent overblown model complexity. The challenge participating systems collectively experimented with a wide range of machine learning and probabilistic algorithms to combine temporal imputation and cross-sectional imputation, and their design principles will inform future efforts to better model clinical missing data.

Using the Idexx SediVue Dx to predict the need for urine bacteriologic culture in cats.

We analyzed urine samples from 191 cats for bacteriuria with an automated urine sediment analyzer (Idexx SediVue Dx), combined with image review by an observer, and compared to bacteriologic culture results. Sixty-nine samples were unambiguously assigned to be free of bacteria by the instrument and the observer, and no bacterial growth was detected. Twenty-seven samples were unambiguously assigned to have bacteriuria; 24 of these 27 samples were culture-positive. For these samples, bacteriuria was predicted with a sensitivity of 100% and a specificity of 96%. A clear assignment was not possible for 95 samples, 81 of which were culture-negative. Specificity dropped to 45% when all samples were considered. Using the automated leukocyte count to predict bacteriuria, sensitivity was 82% and specificity was 75%. Automated sediment analysis is faster and less observer-dependent than sediment analysis under a microscope, but accurate detection of bacteriuria remains difficult in a large proportion of samples. Bacteriuria was significantly associated with leukocyte count; the leukocyte count was >5/high power field in 82% of culture-positive samples.

Characteristics of hospital differences in missing of clinical laboratory test results in a multi-hospital observational database contributing to MID-NET® in Japan.

BACKGROUND: In Japan, a multiple-hospital observational database system, the Medical Information Database Network (MID-NET®), was launched for post-marketing drug safety assessments. These assessments will be based on datasets with missing laboratory results. The characteristics of missing data considering hospital differences have not been evaluated. We assessed the missing proportion and the association between missingness and a factor through case studies using a database system, a part of MID-NET®. METHODS: Seven scenarios using laboratory results before the prescription of the assessed drug as baseline covariates and data from 10 hospitals of Tokushukai Medical Group were used. The missing proportion and the association between missingness and patient background were investigated per hospital. The associations were assessed using the log of adjusted odds ratio (log-aOR). Additionally, an ad hoc survey was conducted to explore other factors affecting the missingness. RESULTS: For some laboratory tests, missing proportions varied among hospitals, such as 7.4-44.4% of alkaline phosphatase (ALP) and 8.1-31.2% of triglyceride (TG) among statin users. The association between missingness and affecting factors also differed among hospitals for some factors; example, the log-aOR of hospitalization associated with missingness of TG was - 0.41 (95% CI, - 1.06 to 0.24) in hospital 3 and 1.84 (95% CI, 1.34 to 2.34) in hospital 4. In the ad hoc survey focusing on ALP, hospital-dependent differences in the ordering system settings were observed. CONCLUSIONS: Hospital differences in missing data appeared in some laboratory tests in our multi-hospital observational database, which could be attributed to the affecting factors, including the patient background.

Clinical usefulness of drug-laboratory test interaction alerts: a multicentre survey.

OBJECTIVES: Knowledge of possible drug-laboratory test interactions (DLTIs) is important for the interpretation of laboratory test results. Failure to recognize these interactions may lead to misinterpretation, a delayed or erroneous diagnosis, or unnecessary extra diagnostic tests or therapy, which may harm patients. The aim of this multicentre survey was to evaluate the clinical value of DLTI alerts. METHODS: A survey was designed with six predefined clinical cases selected from the clinical laboratory practice with a potential DLTI. Physicians from several departments, including internal medicine, cardiology, intensive care, surgery and geriatrics in six participating hospitals were recruited to fill in the survey. The survey addressed their knowledge of DLTIs, motivation to receive an alert and opinion on the potential influence on medical decision making. RESULTS: A total of 210 physicians completed the survey. Of these respondents 93% had a positive attitude towards receiving DLTI alerts; however, the reported value differed per case and per respondent's background. In each clinical case, medical decision making was influenced as a consequence of the reported DLTI message (ranging from 3 to 45% of respondents per case). CONCLUSIONS: In this multicentre survey, most physicians stated DLTI messages to be useful in laboratory test interpretation. Medical decision making was influenced by reporting DLTI alerts in each case. Alerts should be adjusted according to the needs and preferences of the receiving physicians.

Changes in clinical signs and laboratory indicators and their risk-tiering diagnostic effectiveness in elderly patients with pulmonary embolization with different risk levels / 中华老年医学杂志

Objective:To investigate the changes in clinical signs and laboratory testing results and their risk-tiring diagnostic effectiveness in elderly patients with pulmonary embolization (PE) with different risk levels.Methods:A retrospective analysis was conducted on the clinical data of elderly hospitalized PE patients in Beijing Hospital and other coordinated hospital from 2012 to 2020.Differences in 43 clinical signs and detection indicators between patients with four different risk levels were compared.The univariate and multivariate regression models were used to analyze differences between high-risk and non-high-risk PE and between intermediate-risk and low-risk PE with ROC analysis.Results:In the multi-group comparison, there are 33 clinical tests having significant differences between four risk groups, 29 clinical tests having significant differences between three risk groups(high, intermediate and low groups), and 21 clinical tests having significant differences between two groups(high and non-high groups). In the ROC analysis of risk stratification in high-risk and non-high-risk groups, it was found that the range of area under the curves(AUC)of 14 significantly changed clinical tests were 0.611 to 0.802 in the univariate regression analysis.The AUC of the model of systolic blood pressure(SBP)combined with white blood cell count(WBC)and aspartate aminotransferase(AST)was 0.8593(95% CI: 0.795-0.924)in the multivariate regression analysis.While in the ROC analysis between intermediate-risk and low-risk, the range of AUC of 12 significantly changed clinical tests were 0.592 to 0.835 in the univariate regression analysis.The B-type natriuretic peptide(BNP)and N-terminal B-type natriuretic peptide(NT-proBNP)can assist the risk stratification in intermediate-risk and low-risk PE groups.No efficient combined diagnosis model was found. Conclusions:The basic vital signs and multiple clinical laboratory tests were significantly different among four risk levels of elderly PE patients, such as blood gas analysis, coagulative function, liver and kidney function and myocardial markers.The combination of SBP, WBC, and AST can effectively assist the risk stratification in high-risk and non-high-risk PE groups.

Patient Challenges and Needs in Comprehending Laboratory Test Results: Mixed Methods Study.

BACKGROUND: Patients are increasingly able to access their laboratory test results via patient portals. However, merely providing access does not guarantee comprehension. Patients could experience confusion when reviewing their test results. OBJECTIVE: The aim of this study is to examine the challenges and needs of patients when comprehending laboratory test results. METHODS: We conducted a web-based survey with 203 participants and a set of semistructured interviews with 13 participants. We assessed patients' perceived challenges and needs (both informational and technological needs) when they attempted to comprehend test results, factors associated with patients' perceptions, and strategies for improving the design of patient portals to communicate laboratory test results more effectively. Descriptive and correlation analysis and thematic analysis were used to analyze the survey and interview data, respectively. RESULTS: Patients face a variety of challenges and confusion when reviewing laboratory test results. To better comprehend laboratory results, patients need different types of information, which are grouped into 2 categories-generic information (eg, reference range) and personalized or contextual information (eg, treatment options, prognosis, what to do or ask next). We also found that several intrinsic factors (eg, laboratory result normality, health literacy, and technology proficiency) significantly impact people's perceptions of using portals to view and interpret laboratory results. The desired enhancements of patient portals include providing timely explanations and educational resources (eg, a health encyclopedia), increasing usability and accessibility, and incorporating artificial intelligence-based technology to provide personalized recommendations. CONCLUSIONS: Patients face significant challenges in interpreting the meaning of laboratory test results. Designers and developers of patient portals should employ user-centered approaches to improve the design of patient portals to present information in a more meaningful way.

cDNA-Based Mutation Screening Using a Combination of High-Resolution Melting Curve and Fragment Analysis Facilitates Efficient CCR4 Mutation Analysis in Adult T-Cell Leukemia/Lymphoma.

OBJECTIVES: C-C chemokine receptor type 4 (CCR4) proteins are expressed on the neoplastic cells of adult T-cell leukemia/lymphoma (ATLL). As the mutation status of CCR4 gene is reported to correlate with significant clinical information such as prognosis and response to mogamulizumab, we aimed to establish a screening method that is suitable for clinical laboratory tests. METHODS: In 34 patients with ATLL, CCR4 mutation analysis, high-resolution melting (HRM) analysis, fragment analysis, and direct sequencing were performed using both genomic DNA and complementary DNA (cDNA). Furthermore, 38 cases of asymptomatic carriers of human T-cell leukemia virus type 1 (HTLV-1) were screened for CCR4 mutation. RESULTS: Mutation analysis by direct sequencing of 34 ATLL clinical samples detected CCR4 mutation in four genomic DNA samples and seven cDNA samples, and two novel mutations were identified. All CCR4 mutations detected by direct sequencing were positive for HRM analysis and/or fragment analysis. CCR4 mutation was not detected in the asymptomatic carriers of HTLV-1. CONCLUSIONS: CCR4 mutation screening by a combination of HRM and fragment analysis using cDNA is a simple and practical method, and it will contribute to better decision making for a therapeutic strategy, providing a rapid CCR4 mutational status to clinicians.

Application of Fisetin to the Quantitation of Serum Albumin.

Fisetin (3,3',4',7-tetrahydroxyflavone) is a widely distributed natural flavonol. It interacts with albumin, and thereby generates a fluorescence signal quantitatively. Based on such optical characteristics, we postulated that fisetin was applicable to the quantitation of albumin as an indicator. To establish the fisetin-based albumin assay, we examined the optical properties of fisetin and fisetin-albumin complex. The assay conditions were fine-tuned to fit for the actual concentration of serum albumin and to generate an optimal signal with a high signal-to-background ratio. The reaction between fisetin and albumin was linear in a wide range of concentrations. Non-protein serum components did not interfere with the reaction. The reactivity of fisetin was apparently specific for albumin among serum proteins. Both plasma and serum were compatible with the assay. The samples could be stored in a refrigerator or a freezer without the loss of reactivity toward fisetin. The generation and decay rates of the signal were acceptable for manual handling. The recovery of fortified albumin in serum was confirmed and the assay was validated with human sera. Fisetin-based albumin assay is suitable for clinical laboratory testing, considering the simple and short procedure, high specificity and sensitivity, linearity over a wide range of albumin concentrations, and, presumably, potential automatability.

Development of an Index Score for Intestinal Inflammation-Associated Dysbiosis Using Real-World Stool Test Results.

BACKGROUND: Gut microbiota play an important role in human health. However, the application of gut microbiome in regular clinical practice is limited by interindividual variations and complexity of test results. HYPOTHESIS: It is possible to address interindividual variation by using large data-based exploratory-pattern analysis. METHODS: The current study was conducted using a large data set (n = 173,221) of nonselective incoming patients' test results from a stool test. The data set included assays for the detection of 24 selected commensal microorganisms and multiple biomarkers in feces. Patients were grouped based on their levels of inflammation biomarkers such as calprotectin, eosinophil protein X, and IgA. Group mean values of biomarkers and commensal microbes were used in an exploratory-pattern analysis for association from which an index score for intestinal inflammation-associated dysbiosis (IAD) was developed. The IAD score was evaluated in one questionnaire-based study (n = 7263) and one prospective case series study (n = 122) with patients of inflammatory bowel disease (IBD), irritable bowel syndrome (IBS), and celiac disease. RESULTS: We identified a microbial profile strongly associated with fecal inflammation biomarkers. Developed on the pattern of the microbial profile, the IAD score demonstrated a strong association with fecal inflammation biomarkers and was significantly different between patients with IBD and those with IBS or celiac disease. CONCLUSION: Using real-world data, we have developed a method to predict gut dysbiosis associated with different GI disease conditions. It may help clinicians simplify the process of interpreting gut microbial status and provide gut health assessment and treatment evaluation.

Investigation of screening method for DNMT3A mutations by high-resolution melting analysis in acute myeloid leukemia.

INTRODUCTION: Acute myeloid leukemia (AML) is a heterogeneous disease associated with various genetic abnormalities. Somatic mutations in nucleophosmin 1 (NPM1), fms-related tyrosine kinase 3 (FLT3), and DNA methyltransferase 3 alpha (DNMT3A) are the most frequent mutations associated with AML. However, because DNMT3A mutations are broadly distributed, they are challenging to analyze in routine laboratory tests. Hence, we developed a rapid screening method for DNMT3A mutations by high-resolution melting (HRM) analysis for clinical use at the point of AML diagnosis. METHODS: The detection limit for DNMT3A mutations from exons 8-23 by an HRM analysis was investigated using plasmid mixtures. In 69 patients with AML, somatic mutations in NPM1, FLT3-internal tandem duplication (ITD), FLT3-tyrosine kinase domain (TKD), DNMT3A, and isocitrate dehydrogenase 1/2 were screened using HRM analysis, and direct sequencing was performed for positive samples. RESULTS: High-resolution melting analysis enabled complete mutation detection in samples with 20% mutant alleles in all regions. In a clinical laboratory test, DNMT3A mutations were detected in 12 cases (17.3%), and we identified five novel mutations. Simultaneous NPM1, FLT3-ITD, and DNMT3A mutations constituted the most common pattern (30%) in de novo cytogenetically normal AML. CONCLUSION: High-resolution melting analysis has sufficient performance for the detection of DNMT3A mutations in AML. This approach can facilitate rapid AML genotyping at diagnosis in clinical settings.