Clinica Chimica Acta最新文献

Lupus nephritis (LN) is a prominent manifestation of systemic lupus erythematosus (SLE), characterized by diverse clinical and histopathological features, imposing a substantial burden on patients. Although the exact cause of SLE remain undetermined, several genetic, epigenetics, hormonal, and other factors are implicated in LN pathogenesis. The management of LN rely on invasive renal biopsies, while the standard therapy of the proliferative form of LN remains empirical and relies on indiscriminate immunosuppressants (IS). These treatments exhibit unsatisfactory remission rates, trigger recurrent renal flares, and entail grave adverse effects (ADEs). The advent of precision medicine into LN entails a concentrated effort to pinpoint essential biomarkers, reshaping the landscape of LN management. The primary objective of this review is to synthesize and summarize existing research findings by elucidating the most prevalent immunological, genetic, and epigenetic alterations and deliberate on management strategies that can pave the way for precision medicine in tackling LN. Novel clinical biomarker such as serum anti-complement component 1q (anti-C1q), with urinary markers including neutrophil gelatinase-associated lipocalin (NGAL), monocyte chemoattractant protein-1 (MCP1) and tumour necrosis-like weak inducers of apoptosis (TWEAK) are strongly correlated with LN. These biomarkers have good sensitivity and specificity and perform better than conventional biomarkers in assessing LN activity. Similarly, more renal-specific genetic and epigenetic alteration have been correlated with LN susceptibility and severity. This includes variants of hyaluronan synthase 2 (HAS2), and platelet-derived growth factor receptor alpha (PDGFRA). In the future, integrating clinical, genetic, epigenetic, and targeted therapies holds promise for guiding precision medicine and improving LN outcomes.

Background

Acute myocardial infarction (AMI) and postmyocardial infarction heart failure (pMIHF) have high mortality rates worldwide. This study aimed to explore lipidomic profiles and identify potential biomarkers for the prediction of death and heart failure (HF) after AMI.

Methods

All serum samples were collected at Xuanwu Hospital, Capital Medical University, and their clinical characteristics and lipidomic profiles were analyzed in different groups. LC-MS/MS was used for lipidomic analyses, and underlying biomarkers were screened by receiver operating characteristic (ROC) curve analysis.

Results

Lipidomic analyses of the survival and nonsurvival groups revealed that the decrease of the content of SM (d18:1/22:0), PE (P-20:1/18:0), PC (18:2), LPE (18:2), PE (P-20:0/18:0), LPC (18:0) and PC (20:0/20:3) while increase of the content of PG (18:1/18:1) could increase the risk of death after AMI. In parallel, the lipidomic analysis of the HF and non-HF groups revealed that the decrease of the content of PC (20:3/20:4), LPC (20:3), LPC (18:0), LPC (18:2), LPC (20:0), LPC (18:3), LPE (16:1) and PC (18:2/20:3) could increase the risk of HF after AMI.

Conclusion

Several lipids could be potential biomarkers for the prediction of death and HF after AMI.

In case of an adverse analytical finding, a low (estimate) urine concentration can be the consequence of 2 very different situations: it can be the tail end of a drug voluntarily consumed to enhance athletic performance, even by microdosing (which is not effective for all drugs), or it can be the result of a contamination, irrespective of its source. For numerous doping agents, a hair test can allow discriminating doping from contamination based on the measured concentration or even the absence of the target drug. Given hair produces incremental concentrations, its analysis offers the possibility of establishing a pattern of drug use and thus, verifying self-reported histories of exposure. In order to provide a retrospective calendar of drug use, segmental analysis of the hair strand can be performed. In doping, the usual practice is to test the substance in short segments, such as 1 cm to avoid drug dilution when using larger segments. During the last months, seven athletes have returned an adverse analytical finding for the diuretic chlortalidone, with reported urine concentrations in the range 20 to 50 ng/mL. All these athletes submitted, via their legal team, their hair for establishing a pattern of exposure. Results were always consistent with incidental contamination (hair concentration lower than 5 pg/mg), although the source of contamination was never identified. The interpretation of the findings was established in the light of the limited literature, including hair tests after microdosing and therapeutic use.

Background

Clot waveform analysis (CWA) reportedly enhances the interpretation of clotting time measurement. This study aimed to compare CWA between prothrombin time (PT) and activated partial thromboplastin time (APTT) assays for better understanding how to apply CWA for assessing effects of direct oral anticoagulants (DOACs).

Methods

Samples were prepared by spiking plasma with rivaroxaban, apixaban, edoxaban, or dabigatran. To compensate the influence of fibrinogen, CWA parameters were adjusted by unifying maximum changes in transmittance in clotting reaction curves detected by the optical system.

Results

Non-adjusted PT-CWA parameters unexpectedly rose at low drug concentrations but declined at high drug concentrations while adjusted PT-CWA parameters exhibited dose-dependent decrease. Both non-adjusted and adjusted APTT-CWA parameters showed dose-dependent decrease. Adjusted CWA parameters were applicable to Hill plot analysis. All DOACs exhibited Hill coefficients indicating positively cooperative effects regarding most adjusted PT-CWA parameters. Regarding adjusted APTT-CWA parameters, rivaroxaban, apixaban, and edoxaban exhibited Hill coefficients indicating no or negatively cooperative effects. The observed differences between PT-CWA and APTT-CWA suggested the implication of thrombin positive feedback in DOAC effects.

Conclusion

The results revealed distinct features of DOAC effects in extrinsic and intrinsic pathways. To ascertain the clinical implication, further studies using clinical samples are needed.

Cortisol, a crucial steroid hormone synthesized by the adrenal glands, has diverse impacts on multiple physiological processes, such as metabolism, immune function, and stress management. Disruption in cortisol levels can result in conditions like Cushing’s syndrome and Addison’s disease. This review provides an in-depth exploration of cortisol, covering its structure, various forms in the body, detection methodologies, and emerging trends in cancer treatment and detection. Various techniques for cortisol detection, including electrochemical, chromatographic, and immunoassay methods were discussed and highlighted for their merits and applications. Electrochemical immunosensing emerges as a promising approach, which offered high sensitivity and low detection limits. Moreover, the review delves into the intricate relationship between cortisol and cancer, emphasizing cortisol’s role in cancer progression and treatment outcomes. Lastly, the utilization of biomarkers, in-silico modeling, and machine learning for electrochemical cortisol detection were explored, which showcased innovative strategies for stress monitoring and healthcare advancement.

Background

Sitosterolemia is a rare inherited lipid metabolic disorder characterized by increased levels of plant sterols and accelerated atherosclerosis. Although early detection is beneficial for the prevention of disease progression, it is largely underdiagnosed by routine screening based on conventional lipid profiles.

Materials and methods

A gas chromatography-mass spectrometry (GC–MS)-based profiling has been developed and validated to measure the levels of biologically active free sterols, including five endogenous sterols and three plant sterols (sitosterol, campesterol, and stigmasterol) in dried blood spot (DBS).

Results

Within- and between-run precisions were 1.4–11.1 % and 2.2–14.1 %, respectively, while the accuracies were all 86.3 ∼ 121.9 % with the correlation coefficients (r²) > 0.988 for all the sterols. In the patients (four girls and two boys, 6.5 ± 2.8 years), sitosterol levels were significantly increased, with an optimal cut-off value of 2.5 µg/mL distinguishing them from ninety-three age-matched healthy children. A cut-off value of 31.9 µg/mL differentiated the patients from six ABCG5/ABCG8 heterozygous carriers. In addition, the molecular ratios of sitosterol to cholesterol, desmosterol, and 7-dehydrocholesterol provided excellent cut-off values of 26.3, 67.6, and 21.6, respectively, to distinguish patients from both healthy controls and heterozygous carriers.

Conclusions

The novel DBS-based GC–MS profiling of free sterols accurately identified patients with sitosterolemia, with a performance comparable to that of a serum assay. The DBS profiling could be more feasible method in clinical practice as well as population screening programs, and it can provide diagnostic cut-off values for individual plant sterols.

Worldwide, female breast cancer (BC) has surpassed lung cancer as the most commonly diagnosed cancer. Early diagnosis of cancer recurrence can provide substantial benefits for BC patients who are at high risk of relapse. We aimed to investigate the role of ALU 247, ALU 115, cfDNA integrity index, CA15-3 and CEA as potential diagnostic markers in BC patients and as markers for early prediction of recurrence. Fifty BC patients (10 patients showed recurrence), 26 BBD patients and 22 healthy controls were included. Real-time q-PCR was used to measure the concentration of ALU 247 and ALU 115 in plasma then cfDNA integrity index was calculated. “ECLIA” was used to measure the concentration of CA15-3 and CEA in serum. Our results showed significant higher levels of ALU 247, ALU 115, CA15-3 and CEA in BC patients in comparison to healthy controls (P=0.02, 0.008, <0.001 and < 0.001 respectively). Also, cfDNA integrity index was higher in BC patients in comparison to healthy controls but statistically insignificance (p = 0.46). In recurrent BC patients; ALU 247, ALU 115, cfDNA integrity index, CA15-3 and CEA levels were higher compared to non-recurrent BC patients but with no statistic significant (p = 0.46, 0.59, 0.09, 0.85 and 0.84 respectively). This may result from the short period of follow up (1–2 years) and the relatively small sample size due to exclusion of patients with chronic diseases or inflammation as well as those who received therapy or post-surgery. By using the ROC curve, the sensitivity of ALU 247, ALU 115, CA15-3 and CEA for discriminating BC patients from BBD patients and healthy controls was 79 %, 79.2 %, 76.0 % and 88.0 % respectively. This study suggested that ALU 247, ALU 115, CA15-3 and CEA could be promising non-invasive markers of BC for diagnosis and early prediction of recurrence after validation in large-scale future studies.

Objective

Neutrophil gelatinase-associated lipocalin (NGAL) has been identified by the International Nephrology Association (INA) as a promising biomarker for the early evaluation of renal injury. This study aimed to develop and evaluate NGAL test strips as a rapid, simple, and economical method for the early diagnosis of acute kidney injury (AKI).

Methods

Recombinant prokaryotic expression vectors, purified NGAL protein, and anti-NGAL monoclonal antibodies were prepared. NGAL test strips were developed, and serum samples were collected from healthy individuals and patients with early-stage kidney injury at the Third Affiliated Hospital of Sun Yat-sen University between January 2023 and May 2024. Samples were tested using both the self-made strips and commercially available reagents.

Results

The NGAL test strip comprised a conjugate pad containing 0.2 μL of fluorescent microspheres conjugated with anti-NGAL monoclonal antibody (McAb7#), a test line containing 1 mg/mL of a different anti-NGAL monoclonal antibody (McAb3#), and a control line containing 0.5 mg/mL of goat anti-mouse IgG. The test utilized 60 μL of sample (30 μL serum diluted with 30 μL of sample diluent) and was completed within 15 min at 25 °C and 35 %-85 % relative humidity. The developed strip accurately detected NGAL, demonstrating good linearity within the range of 0–160 ng/mL (R² = 0.9943). The sensitivity and specificity of the NGAL strip for AKI diagnosis were 86.1 % and 78.8 %, respectively, comparable to the performance of commercially available testing reagents.

Conclusion

The developed test strip, utilizing anti-NGAL antibodies coupled with fluorescent microspheres, effectively detected trace amounts of NGAL protein in serum samples.

Background

Hemophilia A (HA) is an X-linked recessive genetic disorder caused by pathogenic variations of the factor VIII −encoding gene, F8 gene. Due to the large size and diverse types of variations in the F8 gene, causative mutations in F8 cannot be simultaneously detected in one step by traditional molecular analysis, and genetic molecular diagnosis and prenatal screening of HA still face significant difficulties and challenges in clinical practice. Therefore, we aimed to develop and validate an efficient, accurate, and time-saving method for the genetic detection of HA.

Methods

A comprehensive analysis of hemophilia A (CAHEA) method based on long-range PCR and long-read sequencing (LRS) was used to detect F8 gene mutations in 14 clinical HA samples. The LRS results were compared with those of the conventional methods to evaluate the accuracy and sensitivity of the proposed approach.

Results

The CAHEA method successfully identified 14 F8 variants in all probands, including 3 small insertion deletions, 4 single nucleotide variants, and 7 intron 22 inversions in a “one-step” manner, of which 2 small deletions have not been reported previously. Moreover, this method provided an opportunity to analyze the mechanism of rearrangement and the pathogenicity of F8 variants. The LRS results were validated and found to be in 100% agreement with those obtained using the conventional method.

Conclusion

Our proposed LRS-based F8 gene detection method is an accurate and reproducible genetic screening and diagnostic method with significant clinical value. It provides efficient, comprehensive, and accurate genetic screening and diagnostic services for individuals at high risk of HA as well as for premarital and prenatal populations.