Clinica Chimica Acta最新文献

Mucus and its movements are essential to epithelial tissue immune defenses against pathogens, including fungal pathogens, which can infect respiratory, gastrointestinal or the genito-urinary tracts. Several epithelial cell types contribute to their immune defense. This review focuses on the respiratory tract because of its paramount importance, but the observations will apply to epithelial cell defenses of other mucosal tissue, including the gastrointestinal and genito-urinary tracts. Mucus and its movements can enhance or degrade the immune defenses of the respiratory tract, particularly the lungs. The enhancements include inhaled pathogen entrapments, including fungal pathogens, pollutants and particulates, for their removal. The detriments include smaller lung airway obstructions by mucus, impairing the physical removal of pathogens and impairing vital transfers of oxygen and carbon dioxide between the alveolar circulatory system and the pulmonary air. Inflammation, edema and/or alveolar cellular damage can also reduce vital transfers of oxygen and carbon dioxide between the lung alveolar circulatory system and the pulmonary air. Furthermore, respiratory tract defenses are affected by several fatty acid mediators which activate cellular receptors to manipulate neutrophils, macrophages, dendritic cells, various innate lymphoid cells including the natural killer cells, T cells, γδ T cells, mucosal-associated invariant T cells, NKT cells and mast cells. These mediators include the inflammatory and frequently immunosuppressive prostaglandins and leukotrienes, and the special pro-resolving mediators, which normally resolve inflammation and immunosuppression. The total effects on the various epithelial cell and immune cell types, after exposures to pathogens, pollutants or particulates, will determine respiratory tract health or disease.

Introduction

Serum lipid profiles play a crucial role in diagnosing and evaluating cardiovascular diseases. However, the presence of paraprotein can lead to inaccurate dyslipidemia results on automated analyzers.

Case report

A 65-year-old woman whose combined concentrations of HDL-cholesterol (HDL-C) and LDL-cholesterol (LDL-C) consistently surpassed her total serum cholesterol levels over a period of three months presented with unusual lipid component detection. Further analysis revealed the presence of a monoclonal paraprotein, identified as an IgMλ band, with a concentration of 28.0 g/L. The patient was subsequently diagnosed with Waldenström macroglobulinemia. The use of abnormal reaction kinetic curves and the β quantification method, along with an alternative method that did not suffer from interference, revealed that the monoclonal paraprotein interfered with the measurements of HDL-C, LDL-C, apolipoprotein A-I (apoA-I), and apolipoprotein B (apoB) when using the Roche detection system. This interference led to spurious elevated HDL-C concentrations and falsely decreased apoA-I and apoB concentrations, while the LDL-C results were minimally affected. Although diluting the sample normalized the HDL-C and LDL-C measurements, the interference with the apoA-I and apoB assays persisted. No other common biochemical tests were interfered with this paraprotein.

Conclusion

Caution is advised when using a homogenous method for direct measurement of HDL-C and LDL-C in patients with monoclonal paraprotein. Techniques to recognize and eliminate this interference are available. However, immunoturbidimetric detection of apoA-I and apoB levels is also susceptible to this interference, which is not readily removable.

Tumor markers should be measured regularly and accurately to prevent, diagnose, and monitor cancers efficiently. We aimed to characterize the pre-analytical factors effecting on the analytical performance of point-of-care test (POCT) platform Ichroma^TM II (Boditech Med Inc., Gangwon-do, Korea) for alpha-fetoprotein (AFP), carcinoembryonic antigen (CEA), and prostate specific antigen (PSA) and evaluate their consequences in clinical practice. Based on comprehensive evaluation for the analytical performance of Ichroma^TM II including precision, linearity, and method comparison performed according to CLSI guidelines, pre-analytical factors of sample types and conditions were extensively analyzed. A total of five sample types [serum, plasma (PL) and whole blood (WB) from EDTA tube, PL and WB from sodium heparin tube] from 40 patients were used for comparing among specimen types. Additionally, stability was assessed up to 21 h at room temperature, refrigerated for 8 days, and frozen for 16 weeks by using 4 levels of pooled patient samples which were measured in triplicate. Precision, linearity and correlation with central laboratory analyzers observed in all three tumor markers were within acceptable criteria. However, variable degrees of percent deviations were observed according to sample type and storage conditions. Only EDTA PL samples presented clinically acceptable percentage biases for all three tumor markers when stored at room temperature or refrigerated condition. Positive bias of CEA and PSA in storage duration until 16 weeks were observed when stored in frozen condition. While Ichroma^TM II showed an adequate analytical performance as a POCT platform with simple operating procedures for the measurement of tumor markers, clinical laboratories should be aware of stability issues when different types of blood specimens are practically utilized.

Background

Elevated maternal serum total bile acids (sTBA) level during pregnancy was associated with adverse fetal outcomes. Women with elevated sTBA could complicate with hepatic dysfunction or vascular disorders (hypertensive disorders of pregnancy, HDP), which aggravated adverse fetal outcomes. However, the relationships among sTBA level, hepatic dysfunction, HDP and adverse fetal outcomes were still illusive.

Objective

We aimed to explore whether hepatic dysfunction or vascular disorders (HDP) mediated the associations between elevated sTBA level and adverse fetal outcomes.

Methods

A large retrospective cohort study encompassing 117,789 Chinese pregnant women with singleton delivery between Jan 2014 and Dec 2022 was conducted. Causal mediation analysis was applied to assess the mediating role of hepatic dysfunction (alanine transaminase > 40 U/L) or HDP in explaining the relationship between high maternal sTBA level (≥10 μmol/L) and adverse fetal outcomes, including low birth weight (LBW), small for gestational age (SGA), and preterm birth (PTB).

Results

sTBA level were positively associated with LBW (adjusted odds ratio (aOR) = 1.40; [95 % confidence interval (CI): 1.24–1.59]), SGA (aOR=1.31; [95 % CI: 1.18–1.46]), and PTB (aOR=1.27; [95 % CI: 1.15–1.41]), respectively. The estimated proportions of the total associations mediated by HDP were 47 % [95 % CI: 31 %–63 %] for LBW, 24 % [95 % CI: 13 %–35 %] for SGA, and 34 % [95 % CI: 19 %–49 %] for PTB, excepting the direct effects of high sTBA level. The contribution of hepatic dysfunction as a mediator was weaker on the association between high sTBA level on fetal outcomes, as the proportions mediated and 95 % CI were 16 % [4 %–29 %], 4 % [-6%–14 %], 32 % [15 %–50 %] for LBW, SGA, and PTB, respectively. Moreover, the mediating effect of hepatic dysfunction was nearly eliminated after excluding cases of HDP in the sensitivity analysis.

Conclusions

The substantial mediating effects through HDP highlighted its significant role in adverse fetal outcomes associated with elevated sTBA level. The findings also provoked new insights into understanding the mechanism and developing clinical management strategies (i.e. vascular protection) for adverse fetal outcomes associated with elevated sTBA level.

High-resolution melt (HRM) analysis is a closed-tube technique for detecting single nucleotide polymorphisms (SNPs). However, it has limited use in high-resolution melting devices, even those with high thermal accuracy (HTA). In addition to the cost of switching to these specialized devices, the presence of nearest neighbour neutral changes (class III, IV SNPs and small indels) made HRM-based assays a challenging task due to reduced sensitivity. This study aimed to design a common modified competitive amplification of differently melting amplicons (CADMA)-based assay to address these challenges by generating allele-specific qPCR products that are detectable on most qPCR platforms.

For this study, SNPs were selected from all four classes of SNPs (class I: C/T or G/A mutation; class II: C/A or G/T mutation; class III: G/C mutation; class IV: A/T mutation). A single base pair and 19 bp indels were also chosen to simulate how CADMA primers could be designed for indels of varying lengths. The melting temperatures (Tm) were determined using IDT oligoAnalyzer. qPCR and melt data acquisition were performed on the CFX96 qPCR platform, and the melt curve data were analyzed using Precision Melt software (Bio-Rad, USA). The clusters for different genotypes were successfully identified with the aid of the control samples, and Tm predictions were carried out using the uMelt batch and Tm online tools for comparison.

Using HRM-qPCR assays based on the modified CADMA method, genotyping of various SNPs was successfully carried out. For some SNPs, similarly shaped melt curves were observed for homozygotes and heterozygotes, making shape-based genotype prediction difficult. The Tm values calculated via the Blake and Delcourts (1998) method were the closest to the experimental Tm values after adjusting for the salt concentration.

Since HRM assays usually depend on the ΔTm caused by mutations, they are prone to a high error rate due to nearest neighbour neutral changes. The technique developed in this study significantly reduces the failure rates in HRM-based genotyping and could be applied to any SNP or indel in any platform. It is crucial to have a deep understanding of the melt instrument, its accuracy and the nature of the target (SNP class or indel length and GC content of the flanking region). Furthermore, the availability of controls is essential for a high success rate.

Background

The T-cell receptor (TCR)/CD3 complex plays a crucial role in T-cell development and immune regulation. CD3G gene encodes one of the CD3 subunits named CD3γ, and its deficiency can cause autoimmune disorders, immunodeficiency and recurrent infections. To date, only 13 patients with CD3G variants have been reported.

Case report

We report a 10-year-old Chinese boy presented with lupus-like disease in addition to autoimmune thyroiditis, asthma, immunodeficiency and recurrent infection. Flow cytometric analysis revealed apparently decreased levels of CD3⁺ and CD8⁺ T cells but mildly decreased CD4⁺ T cells. However, the activation of T cells and B cells increased.

Results

Trio-based whole-exome sequencing revealed a homozygous pathogenic variant (c.213delA, p.Lys71fs) of CD3G gene in the proband. His parents were both heterozygous carriers of this variant.

Conclusion

This is the first patient who met the diagnostic criteria for systemic lupus erythematosus by the Systemic Lupus International Collaborating Clinics (SLICC) group. In addition to low T cells and low Treg cells, our study further revealed T cells and B cells activation enhanced in CD3γ deficiency patient, which may play an important role in autoimmunity. We believe that our study makes a significant contribution to the literature and will provide further insight into CD3γ deficiency and monogenic lupus.

There are many different genetic diseases called inborn errors of metabolism (IEM) which result from defective enzymes in the metabolic pathway. As a result, these defects either cause a harmful accumulation of substances or lead to a lack of certain types of molecule. The present review traces the origin and development of IEMs from Sir Archibald Garrod’s theory in the early 20th century to current diagnostic and therapeutic approaches. It also involves a systematic literature review complying with PRISMA which included studies sourced from PubMed, Scopus, Web of Science and Google Scholar. It points out that high rates of consanguinity are associated with high prevalence rates for IEMs especially in the Eastern Mediterranean area. IEMS are classified as energy deficiency disorders, intoxication disorders, and storage disorders. Each category has a variety of clinical manifestations. This study incorporates different diagnostic methods ranging from simple biochemical tests to tandem mass spectrometry and next generation sequencing; while management approaches such as dietary modifications, enzyme replacement therapy and gene therapy were assessed for their efficacy. Specific attention is paid to Pakistan where there exists considerable consanguinity among people coupled with inadequate health care services which have seriously affected delivery of health care services thereby leading to numerous challenges for the country healthcare system during service provision.

Objective

To establish a next-generation reference interval (RI) for total IgE (tIgE) and evaluate its usefulness.

Methods

A new allergen-specific IgE (sIgE)-based tIgE RI, including a continuous RI in children, was established using the NHANES 2005–2006 project. The usefulness of the RI was evaluated by sensitivity (Sen), specificity (Spec), positive predictive value (PPV), negative predictive value (NPV), κ coefficient and consistency.

Results

The new tIgE RI showed better performance in identifying allergic sensitization (Sen 0.53, Spec 0.90, PPV 0.83, NPV 0.68, κ 0.44, consistency 0.72) than allergic diseases (Sen 0.37, Spec 0.75, PPV 0.55, NPV 0.60, κ 0.13, consistency 0.59). The 2014 U.S. tIgE RI was more effective in identifying allergic diseases (consistency 0.63 vs. 0.54, P<0.001) but less accurate in identifying allergic sensitization (consistency 0.59 vs. 0.67, P<0.001) in children than in adults. The new RI improved the accuracy of identifying allergic sensitization in children to a level similar to that in adults (consistency 0.72 vs 0.73, P=0.37) and maintained its advantage in identifying allergic diseases in children (consistency 0.64 vs 0.55, P<0.001).

Conclusions

The established next-generation tIgE RI is useful for identifying allergic sensitization, especially in children.

Sepsis is a life-threatening condition characterized by dysregulated host response to infection leading to organ dysfunction. Despite advances in understanding its pathology, sepsis remains a global health concern and remains a major contributor to mortality. Timely identification is crucial for improving clinical outcomes, as delayed treatment significantly impacts survival. Accordingly, biomarkers play a pivotal role in diagnosis, risk stratification, and management. This review comprehensively discusses various biomarkers in sepsis and their potential application in antimicrobial stewardship and risk assessment. Biomarkers such as white blood cell count, neutrophil to lymphocyte ratio, erythrocyte sedimentation rate, C-reactive protein, interleukin-6, presepsin, and procalcitonin have been extensively studied for their diagnostic and prognostic value as well as in guiding antimicrobial therapy. Furthermore, this review explores the role of biomarkers in risk stratification, emphasizing the importance of identifying high-risk patients who may benefit from specific therapeutic interventions. Moreover, the review discusses the emerging field of transcriptional diagnostics and metagenomic sequencing. Advances in sequencing have enabled the identification of host response signatures and microbial genomes, offering insight into disease pathology and aiding species identification. In conclusion, this review provides a comprehensive overview of the current understanding and future directions of biomarker-based approaches in sepsis diagnosis, management, and personalized therapy.

Pharmacogenomics has become integral to personalised medicine in breast cancer, utilising genetic insights to customize treatment strategies and enhance patient outcomes. Understanding how genetic variations influence drug metabolism, response, and toxicity is crucial for guiding treatment selection and dosing regimens. Genetic polymorphisms in drug-metabolizing enzymes and transporters significantly impact pharmacokinetic variability, influencing the efficacy and safety of chemotherapy agents and targeted therapies. Biomarkers associated with the hormone receptor status of breast cancer and mutations serve as key determinants of treatment response, aiding in the selection of therapies. Despite substantial progress in understanding the pharmacogenomic landscape of breast cancer, efforts to identify novel genetic markers and refine treatment optimisation strategies are required. Genome-wide association studies and advanced sequencing technologies hold promise for uncovering genetic determinants of drug response variability and elucidating complex pharmacogenomic interactions. The future of pharmacogenomics in breast cancer lies in real-time treatment monitoring, the discovery of additional predictive markers, and the seamless integration of pharmacogenomic data into clinical decision-making processes. However, translating pharmacogenomic discoveries into routine clinical practice requires collaborative efforts among stakeholders to address implementation challenges and ensure equitable access to genetic testing. By embracing pharmacogenomics, clinicians can tailor treatment approaches to individual patients, maximizing therapeutic benefits while minimizing adverse effects. This review discusses the integration of pharmacogenomics in breast cancer treatment, highlighting the significance of understanding genetic influences on treatment response and toxicity, and the potential of advanced technologies in refining treatment strategies.