Hepatitis E is an acute and self-limiting viral hepatitis caused by the hepatitis E virus (HEV). It has a higher mortality rate among immunosuppressed patients and pregnant women infected with HEV. Although HEV infections in humans are mostly caused by contaminated water or food worldwide, the incidence of transfusion-transmitted hepatitis E is continuously rising. Additionally, the prevalence of serum anti-HEV IgG in the blood donors in China is at a relatively high level, making it worth considering screening blood donors for HEV. This article briefly reviews the globally reported cases of transfusion-transmitted hepatitis E and the HEV screening strategies for blood donations.

Objective: To develop a comprehensive health economics evaluation model for HIV blood screening using Markov modeling, so as to evaluate the quality-of-life adjustment years (QALYs) gained by transfusion recipients after implementation of blood HIV screening. Methods: Shenzhen Blood Center was selected as the validation case for model development. Based on historical HIV screening data of Shenzhen Blood Center and published literature, the health economics evaluation of donor HIV screening was performed using cost-utility analysis. The single factor sensitivity analysis was performed on parameters in the model. Results: 3.09 QALYs were gained for each transfusion recipient prevented from HIV infection. During 2020-2023, donor HIV screening at Shenzhen Blood Center saved 506.76 QALYs, and each QALY saved 182 900 yuan. Conclusion: From the perspective of long-term benefit of transfusion recipients, HIV screening of blood donors demonstrates high health and economic value.

Objective: To comprehensively evaluate the current alanine aminotransferase (ALT) screening strategies and provide a basis for their optimization. Methods: ALT test results of 21 345 blood samples were collected from 33 blood collection institutions. Multiple probability distribution functions were employed to fit the data, and the akaike information criterion (AIC) was used to determine the optimal fitting model. Based on this model, 1 million random samplings were conducted to simulate the final ALT test results of blood donors under different ALT screening strategies, eligibility criteria, and pre-donation ALT detection deviations. A decision tree was subsequently constructed for health economic analysis. Results: The log-normal distribution with a mean of 2.96 and a variance of 0.65 provided the best fit for the data. When the eligibility criteria was 50 U/L and the pre-donation detection deviation was ±20%, not conducting pre-donation testing increased blood donation by 1.14%. When the pre-donation detection deviation was ±20% and the eligibility criteria was raised from 50 U/L to 100 U/L, conducting and not conducting pre-donation testing increased blood donation by 7.59% and 6.60%, respectively. With a eligibility criteria of 50 U/L and a pre-donation detection deviation of ±20%, 1.14% of eligible blood donors would be disqualified from donating blood. Health economic analysis showed that when the eligibility criteria was adjusted to 56 U/L or higher, not conducting pre-donation ALT testing was the dominant strategy; under other conditions, conducting pre-donation testing was the dominant strategy. Conclusion: The selection of ALT testing strategies is a complex process influenced by multiple factors, and it is necessary to adopt an appropriate ALT screening strategy based on specific testing circumstances.

Chemiluminescence immunoassay (CLIA), a non-radioactive immunoassay technology that has developed rapidly over the past three decades, has increasingly demonstrated its application value in blood screening due to its advantages such as high sensitivity, high specificity, rapid detection, and high degree of automation. This article systematically reviews the application status, technical characteristics, differences from traditional methods, influencing factors for promotion and application of CLIA in blood screening at home and abroad, and looks forward to its development prospects. Countries such as the United States, Germany, and Japan have widely adopted CLIA in the screening of pathogens like HBV, HCV, and HIV, predominantly using "1 CLIA test + 1 nucleic acid testing (NAT) test" model. Some regions have also expanded testing items to include anti-HBc and HTLV. In China, enzyme-linked immunosorbent assay (ELISA) combined with NAT remains the primary method. CLIA is still in the stage of detection performance comparison. However, domestic reagents have gradually been approved, and more enterprises are accelerating their layout in this field. CLIA is superior to ELISA in terms of sensitivity, detection range, and automation adaptability, which can reduce missed detection and shorten the window period. But it is limited by factors such as high cost, closed system characteristics, and domestic batch release supervision. In the future, CLIA is expected to complement existing technologies, expand the detection of emerging and re-emerging pathogens, and combine with fully automated assembly lines to improve screening quality, providing more comprehensive protection for clinical blood transfusion safety.

Objective: To develop a comprehensive health economics evaluation model for HIV blood screening using Markov modeling, so as to evaluate the quality-of-life adjustment years (QALYs) gained by transfusion recipients after implementation of blood HIV screening. Methods: Shenzhen Blood Center was selected as the validation case for model development. Based on historical HIV screening data of Shenzhen Blood Center and published literature, the health economics evaluation of donor HIV screening was performed using cost-utility analysis. The single factor sensitivity analysis was performed on parameters in the model. Results: 3.09 QALYs were gained for each transfusion recipient prevented from HIV infection. During 2020-2023, donor HIV screening at Shenzhen Blood Center saved 506.76 QALYs, and each QALY saved 182 900 yuan. Conclusion: From the perspective of long-term benefit of transfusion recipients, HIV screening of blood donors demonstrates high health and economic value.

Otitis media is an infection of the middle ear mainly caused by bacteria, and current treatments rely heavily on antibiotics. However, the emergence of antibiotic-resistant bacterial strains seriously affects their efficacy. In our study, we found that extracellular vesicles (EVs) derived from human natural killer cells (NKs) inhibit the proliferation of both standard and levofloxacin (LVX)-resistant strains of Staphylococcus aureus in a dose-dependent manner. Moreover, compared to LVX, EVs were more effective at reducing effusion and rescuing hearing thresholds in animal models. For LVX-sensitive strains, EVs were significantly more effective in terms of curative time but not curative rate. For LVX-resistant strains, EVs were significantly more effective in terms of both curative rate and curative time when applied alone or applied jointly with LVX. In summary, we found that NK EVs are highly effective in treating otitis media, providing an alternative approach for treating this common disease.
Killer Cells, Natural/metabolism* ; Exosomes/metabolism* ; Animals ; Humans ; Otitis Media/therapy* ; Staphylococcus aureus/drug effects* ; Disease Models, Animal ; Anti-Bacterial Agents/pharmacology* ; Levofloxacin/pharmacology*

The 5-hydroxytryptamine 2A receptor (5-HT_2AR) is one of the key targets in the development of novel antidepressants. To develop new antidepressants targeting the 5-HT_2A receptor, this study established a high-throughput screening method for drugs targeting the 5-HT_2A receptor based on the principle of detecting calcium flux signals. The immunofluorescence assay and western blotting were employed to evaluate receptor expression levels in the 5-HT_2AR-CHO cell line. The reaction system parameters, including cell seeding density, DMSO concentration, and dye incubation time, were optimized with Z'-factor and signal window values as evaluation indicators. The specificity, precision, stability, and applicability of the method were assessed. Results indicated that the 5-HT_2AR-CHO cell line stably expressed high levels of the 5-HT_2A receptor. The optimized screening method involved a reaction system with 10 000 cells/well, 0.2% DMSO, and 2 h incubation with Calcium 6 dye. The method demonstrated excellent specificity, with inter-batch precision below 10% for the detection of 5-hydroxytryptamine (5-HT) at low, medium, and high concentrations. Testing four compounds that target the 5-HT_2A receptor- agonists 2,5-dimethoxy-4-iodoamphetamine (DOI), 5-methoxy-N,N-dimethyltryptamine (5-MeO-DMT), and lysergic acid diethylamide (LSD), along with the antagonist MDL100907-yielded Z'-factors (at EC₈₀) greater than 0.85 and signal window values over 0.91. The EC₅₀ values of these compounds were in the nanomolar range, and their potency rank order aligned with previously reported data, confirming the reliability of the established method. When being applied to the detection of 38 known active compounds, the method efficiently identified 5-HT_2A receptor agonists and antagonists while showing no response to non-target compounds. In conclusion, this study successfully constructs a high-throughput screening approach for 5-HT_2A receptor-targeting drugs based on calcium flux signals. The method possesses strong specificity, high sensitivity, and robust stability, being suitable for screening antidepressants targeting the 5-HT_2A receptor.
High-Throughput Screening Assays/methods* ; Receptor, Serotonin, 5-HT2A/metabolism* ; Animals ; CHO Cells ; Cricetulus ; Calcium Signaling/drug effects* ; Antidepressive Agents/pharmacology* ; Humans ; Serotonin 5-HT2 Receptor Antagonists/pharmacology* ; Calcium/metabolism*

Objective: To assess the impact of long-term antiretroviral therapy (ART) on human immunodeficiency virus (HIV) blood screening outcomes in post-exposure prophylaxis (PEP) failure cases through a longitudinal analysis of blood screening results over a 7-year period in a patient with HIV PEP failure. Methods: This study conducted 13 follow-up assessments for a high-risk individual who initiated ART shortly after exposure. The effectiveness of various blood screening methods, including immunological assays and nucleic acid testing (NAT), was analyzed. Blood samples were also tested with HIV RNA quantification testing, Western blot (WB) confirmation testing, chemiluminescence immunoassay (CLIA), and HIV rapid tests utilizing gold and selenium labels. A comprehensive analysis was performed to evaluate the changes in diagnostic capabilities of different testing methods for HIV biomarkers over an extended period following PEP failure. Results: The patient had two high-risk exposures: one day before ART initiation (BA1) and seven days preceding treatment (BA7). On the first day after the ART treatment (AA1), the HIV RNA concentration (viral load) was 9.07×10 copies/mL; by day five (AA5), the viral load decreased to 1.04×10 copies/mL. At day eleven (AA11), NAT and ELISA tests were both positive, with the WB result remaining indeterminate (gp160+). At day 48 (AA48), the S/CO value of the fourth generation ELISA reagent was 1.07, while results from a 6-sample pool and quantitative NAT were negative. However, a single sample NAT returned a positive result and WB tests indicated positivity for p17, p24, and gp160. At AA74, the quantitative NAT rebounded to 2.83×10 copies/mL, with positive NAT results for single and 6-sample pool NAT tests. The S/CO values of the imported and domestic ELISA reagents were 3.39 and 23.44, respectively. At AA201, 6-sample pool and quantitative NAT were negative again, while single sample NAT remained positive. From AA319 to AA2221, all NAT results have remained consistently below the minimum detection limit. At AA2221, S/CO values of the imported and domestic ELISA reagents were 3.47 and 23.44, respectively. Conclusion: The findings indicate that patients experiencing PEP failure after high-risk HIV exposure are at a higher risk of being missed by mixed-sample NAT pools and individual serological tests. Nonetheless, anti-HIV antibody levels are sustained at elevated values for an extended duration, underscoring antibody testing as an effective measure for blood screening.

Introduction::The triglyceride to high-density lipoprotein cholesterol (TG/HDL-C) ratio, a novel biomarker for metabolic syndrome (MetS), has been validated in the general population as being significantly correlated with cardiovascular disease (CVD) risk. However, its capabilities to predict CVD in people living with human immunodeficiency virus (HIV; PLWH) remain underexplored.Methods::We conducted a retrospective cohort study of 16,081 PLWH who initiated antiretroviral therapy (ART) at the Third People’s Hospital of Shenzhen (China) from 2005 to 2022. The baseline TG/HDL-C ratio was calculated as TG (mmol/L) divided by HDL-C (mmol/L). We employed a multivariate Cox proportional hazards model to assess the association between the TG/HDL-C ratio and CVD occurrence, using Kaplan-Meier curves and log-rank tests to compare survival distributions. The increase in prediction risk upon the addition of the biomarker to the conventional risk model was examined through the assessment of changes in net reclassification improvement (NRI) and integrated discrimination improvement (IDI). Nonlinear relationships were investigated using a restricted cubic spline plot, complemented by a two-piecewise Cox proportional hazards model to analyze threshold effects.Results::At the median follow-up of 70 months, 213 PLWH developed CVD. Kaplan-Meier curves demonstrated a significant association between the increased risk of CVD and a higher TG/HDL-C ratio (log-rank P <0.001). The multivariate-adjusted Cox proportional hazards regression model indicated that the CVD hazard ratios (HR) (95% confidence intervals [95% CIs]) for Q2, Q3, and Q4 versus Q1 of the TG/HDL-C ratio were 2.07 (1.24, 3.45), 2.17 (1.32, 3.57), and 2.20 (1.35, 3.58), respectively ( P <0.05). The consideration of the TG/HDL-C ratio in the model, which included all significant factors for CVD incidence, improved the predictive risk, as indicated by the reclassification metrics (NRI 16.43%, 95% CI 3.35%-29.52%, P = 0.014). The restriction cubic spline plot demonstrated an upward trend between the TG/HDL-C ratio and the CVD occurrence ( P for nonlinear association = 0.027, P for overall significance = 0.009), with the threshold at 1.013. Significantly positive correlations between the TG/HDL-C ratio and CVD were observed below the TG/HDL-C ratio threshold with HR 5.88 (95% CI 1.58-21.88, P = 0.008), but not above the threshold with HR 1.01 (95% CI 0.88-1.15, P = 0.880). Conclusion::Our study confirms the effectiveness of the TG/HDL-C ratio as a predictor of CVD risk in PLWH, which demonstrates a significant nonlinear association. These findings indicate the potential of the TG/HDL-C ratio in facilitating early prevention and treatment strategies for CVD among PLWH.