Objective:Evaluate To evaluate the efficacy of eccentric mixing in correcting EDTA-dependent pseudothrombocytopenia (EDTA-PTCP) and platelet (PLT) count.Methods:A case-control study was conducted using EDTA-PTCP patient samples collected from the First Affiliated Hospital of Harbin Medical University from April 1st, 2024, to December 27th, 2024, including 82 cases with mean age 57.98±17.28 years old. EDTA-PTCP was defined as PLT≥3 under microscopy. Samples underwent eccentric mixing at 500 r/min or 3000 r/min for durations ranging from 0.5 to 13 minutes to determine the optimal PLT disaggregation protocol. Repeated-measures ANOVA and paired t-tests were used to analyze PLT results. While chi-square tests were used to compare effective disaggregation rates under the optimal eccentric mixing method and sodium citrate anticoagulation. Statistical significance was defined as P<0.05. Results:Eccentric mixing at 3000 r/min for 10 minutes significantly elevated PLT counts to (135.6±63.91)×10 9/L, compared with untreated group (47.72±25.47)×10 9/L ( t=5.74, P<0.001). Blood analyzer showed that 3000 r/min for 10 minutes method did not alter red blood cell (4.32±0.76 vs. 4.27±0.75)×10 12/L nor white blood cell (6.17±2.22 vs. 6.36±2.14)×10 9/L counts compared with untreated group, in which red blood cell (4.27±0.75)×10 12/L ( t=0.40, P=0.690) and white blood cell(6.36±2.14)×10 9/L ( t=0.48, P=0.630). The eccentric mixing achieved a disaggregation rate of 92.68% while sodium citrate anticoagulation 63.41%, with significant differenct (χ2=20.5, P<0.001). Conclusion:Eccentric mixing at 3000 r/min for 10 minutes effectively disaggregates platelets in EDTA-PTCP, correcting PLT counts without affecting other blood cells. This technique outperforms anticoagulant replacement strategies, offering a more efficient solution for clinical use as an alternative for changing anticoagulant.

Drug resistance refers to the reduced or lost sensitivity of microorganisms to key drugs used in clinical (routine) treatment. Antimicrobial resistance poses a significant threat to global public health and safety. The misuse and abuse of antibacterial drugs not only causes inefficient treatment of bacterial infectious diseases, but also exacerbates the evolution of bacterial antimicrobial resistance and the spread of antimicrobial-resistant bacteria. As one of the cutting-edge scientific techniques, microfluidic chip technology has shown extensive application potentials in various fields. In the rapid detection of drug-resistant bacteria, microfluidic chip technology has the advantages of fast speed, high degree of automation, and the ability to perform multiple detections. This article focuses on bacterial antimicrobial resistance, and briefly introduces the principle of microfluidic chips, systematically outlines the application of microfluidic technology in antimicrobial resistance detection, and provides a theoretical reference for the diagnosis of clinical bacterial infectious diseases.

Pathogens, including bacteria, viruses, and fungi, can cause infections and inflammatory responses when invading the human body, posing life-threatening risks in severe cases. Pathogen culturing is considered the gold standard for diagnosing infections, but its time-consuming nature hampers early clinical diagnosis. Polymerase chain reaction offers high sensitivity and specificity but can result in false-negative outcomes. Nanopore sequencing, which features real-time sequencing while unwinding the DNA strands, allows for direct sequencing and immediate analysis. In viral detection, it rapidly obtains pathogen genomes and identifies genetic variations. Direct sequencing of the 16S ribosomal RNA in bacteria and the internal transcribed spacer sequences in fungi enables early diagnosis. It can also detect bacterial resistance, guiding clinical doctors in selecting appropriate antibiotics. Additionally, rapid pathogen detection can be achieved in vector-borne diseases and rare diseases. With advancements in technologies such as deep learning, nanopore sequencing technology is expected to become a powerful tool for early diagnosis of infectious pathogens.

Objective:Evaluate To evaluate the efficacy of eccentric mixing in correcting EDTA-dependent pseudothrombocytopenia (EDTA-PTCP) and platelet (PLT) count.Methods:A case-control study was conducted using EDTA-PTCP patient samples collected from the First Affiliated Hospital of Harbin Medical University from April 1st, 2024, to December 27th, 2024, including 82 cases with mean age 57.98±17.28 years old. EDTA-PTCP was defined as PLT≥3 under microscopy. Samples underwent eccentric mixing at 500 r/min or 3000 r/min for durations ranging from 0.5 to 13 minutes to determine the optimal PLT disaggregation protocol. Repeated-measures ANOVA and paired t-tests were used to analyze PLT results. While chi-square tests were used to compare effective disaggregation rates under the optimal eccentric mixing method and sodium citrate anticoagulation. Statistical significance was defined as P<0.05. Results:Eccentric mixing at 3000 r/min for 10 minutes significantly elevated PLT counts to (135.6±63.91)×10 9/L, compared with untreated group (47.72±25.47)×10 9/L ( t=5.74, P<0.001). Blood analyzer showed that 3000 r/min for 10 minutes method did not alter red blood cell (4.32±0.76 vs. 4.27±0.75)×10 12/L nor white blood cell (6.17±2.22 vs. 6.36±2.14)×10 9/L counts compared with untreated group, in which red blood cell (4.27±0.75)×10 12/L ( t=0.40, P=0.690) and white blood cell(6.36±2.14)×10 9/L ( t=0.48, P=0.630). The eccentric mixing achieved a disaggregation rate of 92.68% while sodium citrate anticoagulation 63.41%, with significant differenct (χ2=20.5, P<0.001). Conclusion:Eccentric mixing at 3000 r/min for 10 minutes effectively disaggregates platelets in EDTA-PTCP, correcting PLT counts without affecting other blood cells. This technique outperforms anticoagulant replacement strategies, offering a more efficient solution for clinical use as an alternative for changing anticoagulant.

Drug resistance refers to the reduced or lost sensitivity of microorganisms to key drugs used in clinical (routine) treatment. Antimicrobial resistance poses a significant threat to global public health and safety. The misuse and abuse of antibacterial drugs not only causes inefficient treatment of bacterial infectious diseases, but also exacerbates the evolution of bacterial antimicrobial resistance and the spread of antimicrobial-resistant bacteria. As one of the cutting-edge scientific techniques, microfluidic chip technology has shown extensive application potentials in various fields. In the rapid detection of drug-resistant bacteria, microfluidic chip technology has the advantages of fast speed, high degree of automation, and the ability to perform multiple detections. This article focuses on bacterial antimicrobial resistance, and briefly introduces the principle of microfluidic chips, systematically outlines the application of microfluidic technology in antimicrobial resistance detection, and provides a theoretical reference for the diagnosis of clinical bacterial infectious diseases.

Pathogens, including bacteria, viruses, and fungi, can cause infections and inflammatory responses when invading the human body, posing life-threatening risks in severe cases. Pathogen culturing is considered the gold standard for diagnosing infections, but its time-consuming nature hampers early clinical diagnosis. Polymerase chain reaction offers high sensitivity and specificity but can result in false-negative outcomes. Nanopore sequencing, which features real-time sequencing while unwinding the DNA strands, allows for direct sequencing and immediate analysis. In viral detection, it rapidly obtains pathogen genomes and identifies genetic variations. Direct sequencing of the 16S ribosomal RNA in bacteria and the internal transcribed spacer sequences in fungi enables early diagnosis. It can also detect bacterial resistance, guiding clinical doctors in selecting appropriate antibiotics. Additionally, rapid pathogen detection can be achieved in vector-borne diseases and rare diseases. With advancements in technologies such as deep learning, nanopore sequencing technology is expected to become a powerful tool for early diagnosis of infectious pathogens.

Exosomes are nanoscale extracellular vesicle structures that communicate and exchange information between cells. They carry a variety of biologically active molecules whose compositions and contents vary according to the origin and recipient cells. Therefore, exosomes can be used as biomarkers. Neurodegenerative diseases are diseases with hidden onset, so early screening and accurate diagnosis is undoubtedly a reliable guarantee to reduce their mortality and increase the cure rate. Exosomes, as a research hotspot in recent years, have great potential for the diagnosis and treatment of diseases given their transport capacity and contents, and have significant advantages in abundance, stability, diversity and accessibility. The purpose of this paper is to discuss exosomes as potential candidates for early diagnosis of neurodegenerative diseases, and thus to elaborate new fields of their application, with a view to providing a richer perspective for clinical prediction and treatment.

Objective:Employ Lasso regression to develop a nomogram model for predicting the risk of liver cirrhosis in patients with chronic hepatitis B (CHB).Methods:A retrospective analysis was conducted on age, gender, laboratory test results, and liver ultrasound results of 1218 patients diagnosed with CHB at the First Affiliated Hospital of Harbin Medical University between 1 January 2023 and 30 November 2023. Based on the R caret package, patients were divided into a training set ( n=853) and an internal validation set ( n=365) at a ration of 7∶3, and an additional 185 patients with CHB treated at the First Affiliated Hospital of Harbin Medical University Qunli campus during the same period was included as an external validation set. Lasso regression and multiple logistic regression were employed for variable selection and nomogram model construction. The discriminative ability, calibration, and clinical utility of the prediction model were evaluated using Receiver Operating Characteristic (ROC) curves, calibration curves, Decision Curve Analysis (DCA), respectively. Results:Age, platelet, gamma-glutamine transpeptidase, prealbumin, portal vein diameter, and spleen thickness were selected as predictive variables for the occurrence of liver cirrhosis in CHB patients ( P<0.05), and a nomogram model was constructed based on the aforementioned variables. The AUC values for the ROC curves in the internal validation set and external validation set were 0.934 (95% CI 0.910-0.959) and 0.881 (95% CI 0.820-0.942), respectively. The fitting degree of calibration curve was observed in both sets (Internal validation set P=0.881; External validation set P=0.478). DCA curves demonstrated the high clinical utility of the model. Conclusion:Age, platelet, gammaglutamine transpeptidase, prealbumin, portal vein diameter, and spleen thickness were risk factors for the occurrence of liver cirrhosis in CHB patients. The constructed nomogram model exhibits good predictive value and clinical utility.

Idiopathic Pulmonary Fibrosis is a chronic interstitial lung disease of unknown etiology with a short survival period, poor prognosis, and difficult to completely cure. At present, the main diagnostic method of IPF is High Resolution CT (HRCT), which has the disadvantage of high subjective impact and low repeatability. Therefore, it is necessary to develop novel biomarkers to aid in the diagnosis and prognosis of IPF. In recent years, more and more studies have focused on exosomes, whose specific regulatory mechanisms for IPF have not been fully elucidated, although it has been extensively studied in the field of malignant tamors and cardiovascular disease. In addition, exosomes can be secreted by different cells and body fluids, having potential applications in suggesting IPF risk and diagnostic prognosis.

Cyperi Rhizoma is a common Chinese medicine in clinical practice， which has a long history of processing. In order to sort out the process of its processing， starting with the angle of processing excipients， the historical evolution and developmental venation of Cyperi Rhizoma processing were analyzed and summarized by consulting relevant literature of ancient medical records and modern codes. After combing the ancient and modern literature， it was found that there were many processing methods of Cyperi Rhizoma， the processing methods without auxiliary materials included frying， boiling， steaming and so on， and the adding auxiliary materials included vinegar， ginger， salt， multiple excipients， etc. However， with the evolution of history， some characteristic excipients have gradually disappeared， while vinegar-processed products are mainly used in modern times. Meanwhile， processing methods of Cyperi Rhizoma are well documented in various processing standards， the phenomenon of multiple methods adopted in one place and different methods in different places exists， which lacks unified quality standards and leads to uneven quality of Cyperi Rhizoma decoction pieces， which may even affect the safety and effectiveness of its clinical medication. Based on this， the problems existing in the processing research of Cyperi Rhizoma were analyzed in this paper， and made an outlook on the inheritance of the ancient processing methods and the quality standard improvement of the decoction pieces， in order to provide important literature evidence and theoretical support for the study of processing process and mechanism of Cyperi Rhizoma.