Objective: To investigate the incidence, characteristics, and influencing factors of resolution discrepancies within the minipool (MP) testing model across Chinese blood station laboratories in 2024. Methods: A nationwide, multicenter, cross-sectional study was conducted, including 334 blood station laboratories that reported nucleic acid reactive data among enzyme immunoassay non-reactive samples. Of these, 296 laboratories adopted the pool resolution model, with a total of 12 536 273 samples tested. Systematic analysis was performed on resolution data, focusing on the MP-NAT reactivity rate, the pool resolution concordance rate, and the resolution discrepancy rate. Subgroup analyses were conducted based on reagent types, viral targets, and Ct values. Potential causes were further explored through laboratory surveys and re-examination of raw amplification curves. Results: In 2024, the national average MP-NAT reactivity rate was 0.15%. The overall pool resolution concordance rate was 57.86%, which showed a gradual decline as Ct values increased across all reagents. The national average resolution discrepancy rate was 0.081‱(102/12 536 273), with 17.91%(53/296) of laboratories reporting at least one discrepancy. Nine reagent types were associated with these events, exhibiting reagent-specific patterns. For Reagent A2, the predominant discrepancy was HBV reactive pools resolving as HIV (36.36%); for Reagent D1, HBV pools frequently resolved as HCV (38.89%); and for Reagent E, the most common pattern was HIV pools resolving as HBV (48.00%). These resolution discrepancies were strongly associated with high Ct values: the median pool Ct for HBV exceeded 38, while those for HCV and HIV both exceeded 40. Investigations across 16 laboratories revealed that most discrepant samples exhibited “tailing” amplification curves, with some cases linked to cross-contamination or reagent batch-specific issues. Conclusion: While the incidence of resolution discrepancies in the MP-NAT model remains low in China, variations exist across different reagents and laboratories. These discrepancies are closely associated with low viral load, reagent performance, and laboratory operational practices.

Objective: To propose an improved method for constructing the internal quality control (IQC) framework for ELISA assays and validate its efficacy by statistically analyzing IQC data from nine blood center laboratories. Methods: 1) IQC data was collected from nine blood centers and analyzed using a domestic HBsAg ELISA detection kit as an example. 2) Differences between IQC values across batches within Blood Center 1 were assessed. 3) Statistical analyses were performed on batch usage, number of batches used, days of use, number of QC points, batch-specific means, and coefficients of variation (CV) across all nine centers. 4) Using the improved construction method for IQC framework, provisional and permanent frames were established for batches within Blood Center 1 and Blood Center 9, followed by outlier determination. Results: 1) Statistically significant differences were observed in IQC data between batches within Blood Center 1 (P<0.01). It is recommended that both the control material/reagents and the control chart framework be replaced simultaneously. 2) There were substantial differences among 9 blood centers regarding the control material/reagent lot numbers used, the number of QC runs per batch, and the QC values for identical lots. Therefore, individual laboratories should establish their own IQC chart frameworks. 3) The improved IQC framework construction method for ELISA assays is as follows: provisional frames are established via frame-shifting, using the pre-experimental mean and cumulative coefficient of variation (CV) from the preceding batch. For batches used >20 days with >20 QC points, permanent frames are constructed by aggregating in-control data accumulated over ≥20 days with ≥20 points to calculate cumulative mean and standard deviation. The provisional and permanent frames constructed by this method identified all 26 extreme outliers across Blood Centers 1 and 9 as out-of-control. Among the 218 general outliers, 10 were classified as normal by the provisional frames, while the remainder were designated as warnings or out-of-control. This method effectively monitors assay stability. Conclusion: Based on the statistical analysis of IQC practices across blood centers of varying scales, combined with the inherent characteristics of ELISA assays and the batch-to-batch instability of reagents/QC materials, it is recommended to reconstruct QC charts upon lot changes. The proposed method—utilizing frame-shifting for provisional frames and establishing permanent frames based on cumulative data—is applicable to blood center laboratories of differing sizes and effectively monitors the stability of the ELISA assay process.

[Objective] To obtain accurate data on alanine aminotransferase (ALT) levels among blood donors in China and to explore the necessity of adjusting the qualification criteria for ALT. [Methods] A collaborative study was conducted involving 26 blood centers and 7 central blood stations with an annual testing volume exceeding 100 000 samples. Between December 1 and 15, 2024, pre-donation ALT testing was suspended for 1-2 days for all whole blood donations. ALT levels were measured only post-donation using standard laboratory equipment and reagents. All transfusion-transmitted infectious disease-related serological and nucleic acid testing, including hepatitis E virus (HEV) RNA testing, were performed. Within one week of testing completion, anonymized data on basic donor information, routine test results, and HEV RNA results were collected and statistically analyzed. [Results] A total of 21 345 blood donors were included in the study, with an ALT disqualification rate of 7.6% (1 623/21 345). The disqualification rate was 9.6% (1 453/15 205) for males and 2.8% (170/6 140) for females. There were significant regional variations in both the disqualification rates and levels of ALT, with Shaanxi Province exhibiting the highest disqualification rate (12.3%, 87/710) and Yunnan Province the lowest (2.9%, 19/652). Among the provinces (autonomous regions and municipalities), Beijing recorded the lowest ALT levels. ALT levels varied across different age groups and genders. Among all samples tested by HEV RNA, the HEV RNA positive rate was 0.29‰ (6/21 003). HCV infection was found to directly affect ALT levels, while HBV, HIV, syphilis, and HEV infections did not significantly impact ALT disqualification rates. It is recommended to adjust the ALT qualification criteria to twice the upper limit of the clinical reference range, which would increase the number of eligible blood donations by 6.61% (1 293/19 550). [Conclusion] In China, the ALT levels of blood donors are correlated with gender, age, geographical region, and HCV infection status. Appropriately raising the ALT eligibility criteria to ≤100 U/L for male donors and ≤80 U/L for female donors could expand the pool of eligible donors and reduce the blood discard rate while ensuring blood safety.

[Objective] To explore quality issues and quality management measures in alanine aminotransferase (ALT) testing, aiming to improve consistency and accuracy of ALT test results by analyzing the outcomes from different pre-donation screening methods and different sample sources. [Methods] Data were collected from 58 blood collection and supply institutions across China. ALT test results from donor samples analyzed by dry chemistry analyzers, semi-automatic biochemical analyzers, and automatic biochemical analyzers were compared, focusing on the influence of venous versus capillary blood samples on testing accuracy. By comparing results from pre-donation screening with laboratory testing, the current state of quality management for different methods and sample types was assessed. Differences in ALT unqualified rates between laboratories were analyzed, and quality improvement strategies were proposed accordingly. [Results] No significant differences were found in laboratory ALT unqualified rates between venous and capillary blood samples during pre-donation screening across different analytical methods (P>0.05). However, laboratory ALT unqualified rates were consistently lower for venous blood compared to capillary blood, regardless of the testing method used (P<0.05). Notable differences in quality control were observed among various blood collection and supply institutions (P<0.05). [Conclusion] Minimal differences were observed between pre-donation ALT screening results obtained by the three analytical methods and laboratory test outcomes; thus, blood stations can select an appropriate testing method according to their specific conditions. Pre-donation screening using venous blood samples demonstrated superior reliability in quality control compared to capillary blood samples. Significant variations in ALT unqualified rates among blood stations suggest that blood collection and supply institutions should emphasize quality management at both the pre-donation screening and laboratory testing stages. Measures such as optimized standardized operating procedures, regular equipment calibration and maintenance, proficiency testing, internal quality control, inter-system comparisons, and enhanced personnel training and evaluation should be implemented to ensure consistent and stable screening results, thereby reducing ALT unqualified rates.

Objective To evaluate the value of a nomogram model based on ultrasonographic features and inflammatory indicators in the preoperative noninvasive prediction of pathological grading of urothelial carcinoma of bladder(UCB).Methods A retrospective analysis was conducted on 471 patients with pathologically confirmed UCB,and the patients were assigned to high-grade group(401 cases)or low-grade group(70 cases).Basic clinical data(gender,age,macroscopic hematuria),ultrasonographic features(lesion location,blood flow signal,etc.),and blood inflammatory indicators(e.g.neutrophil-to-lymphocyte ratio[NLR])were collected.Independent predictors were screened using univariate and multivariate logistic regression,and a nomogram model was constructed.Model performance was evaluated using the receiver operating characteristic(ROC)curve,calibration curve,and decision curve analysis(DCA).Results Multivariate logistic analysis identified gender(odds ratio[OR]=2.68),age(OR=1.08),macroscopic hematuria(OR=3.19),lesion located in the trigone(OR=4.59),positive blood flow signal(OR=2.87),and NLR(OR=1.03)were independent predictors of high-grade UCB(all P＜0.05).The combined model(clinical features+ultrasonographic characteristics+inflammatory indicators)achieved an area under curve(AUC)of 0.892,which was significantly higher than the clinical feature-only model(AUC=0.799)and the clinical+ultrasonographic model(AUC=0.856).The calibration curve demonstrated good consistency between predicted and actual outcomes,and DCA confirmed its optimal clinical net benefit.Conclusion The nomogram model integrating clinical features,ultrasonographic characteristics,and inflammatory indicators can effectively discriminate UCB pathological grading,providing a reliable preoperative noninvasive assessment tool for personalized treatment decisions.

OBJECTIVE: To investigate the effects of acupuncture on the neurotransmitter levels and gut microbiota in a mouse model of Tourette syndrome (TS). METHODS: Thirty-six male C57/BL6 mice were randomly divided into 4 groups using a random number table method: 3,3'-iminodipropionitrile (IDPN) group, control group, acupuncture group, and tiapride group, with 9 mice in each group. In the IDPN group, acupuncture group, and tiapride group, mice received daily intraperitoneal injections of IDPN (300 mg/kg body weight) for 7 consecutive days to induce stereotyped behaviors. Subsequently, in the acupuncture intervention group, standardized acupuncture treatment was administered for 14 consecutive days to IDPN-induced TS model mice. The selected acupoints included Baihui (DU 20), Yintang (DU 29), Waiguan (SJ 5), and Zulinqi (GB 41). In the tiapride group, mice were administered tiapride (50 mg/kg body weight) via oral gavage daily for 14 consecutive days. The control group, IDPN group, and acupuncture group received the same volume of saline orally for 14 consecutive days. Stereotypic behaviors were quantified through behavioral assessments. Neurotransmitter levels, including dopamine (DA), glutamate (Glu), and aspartate (ASP) in striatal tissue were measured using enzyme-linked immunosorbent assay. Dopamine transporter (DAT) expression levels were additionally quantified through quantitative polymerase chain reaction (qPCR). Gut microbial composition was analyzed through 16S ribosomal RNA gene sequencing, while metabolic profiling was conducted using liquid chromatography-mass spectrometry (LC-MS). RESULTS: Acupuncture administration significantly attenuated stereotypic behaviors, concurrently reducing striatal levels of DA, Glu and ASP concentrations while upregulating DAT expression compared with untreated TS controls (P<0.05 or P<0.01). Comparative analysis identified significant differences in Muribaculaceae (P=0.001), Oscillospiraceae (P=0.049), Desulfovibrionaceae (P=0.001), and Marinifilaceae (P=0.014) following acupuncture intervention. Metabolomic profiling revealed alterations in 7 metabolites and 18 metabolic pathways when compared to the TS mice, which involved various amino acid metabolisms associated with DA, Glu, and ASP. CONCLUSIONS Acupuncture demonstrates significant modulatory effects on both central neurotransmitter systems and gut microbial ecology, thereby highlighting its dual therapeutic potential for TS management through gut-brain axis regulation.
Animals ; Tourette Syndrome/metabolism* ; Gastrointestinal Microbiome ; Neurotransmitter Agents/metabolism* ; Acupuncture Therapy ; Male ; Mice, Inbred C57BL ; Mice

OBJECTIVE: Circadian rhythm disruption (CRD) is a risk factor that correlates with poor prognosis across multiple tumor types, including hepatocellular carcinoma (HCC). However, its mechanism remains unclear. This study aimed to define HCC subtypes based on CRD and explore their individual heterogeneity. METHODS: To quantify CRD, the HCC CRD score (HCCcrds) was developed. Using machine learning algorithms, we identified CRD module genes and defined CRD-related HCC subtypes in The Cancer Genome Atlas liver HCC cohort (n = 369), and the robustness of this method was validated. Furthermore, we used bioinformatics tools to investigate the cellular heterogeneity across these CRD subtypes. RESULTS: We defined three distinct HCC subtypes that exhibit significant heterogeneity in prognosis. The CRD-related subtype with high HCCcrds was significantly correlated with worse prognosis, higher pathological grade, and advanced clinical stages, while the CRD-related subtype with low HCCcrds had better clinical outcomes. We also identified novel biomarkers for each subtype, such as nicotinamide n-methyltransferase and myristoylated alanine-rich protein kinase C substrate-like 1. CONCLUSION We classify the HCC patients into three distinct groups based on circadian rhythm and identify their specific biomarkers. Within these groups greater HCCcrds was associated with worse prognosis. This approach has the potential to improve prediction of an individual's prognosis, guide precision treatments, and assist clinical decision making for HCC patients. Please cite this article as: Li XJ, Chang L, Mi Y, Zhang G, Zhu SS, Zhang YX, et al. Integrated-omics analysis defines subtypes of hepatocellular carcinoma based on circadian rhythm. J Integr Med. 2025; 23(4): 445-456.
Humans ; Carcinoma, Hepatocellular/pathology* ; Liver Neoplasms/pathology* ; Circadian Rhythm/genetics* ; Prognosis ; Male ; Female ; Biomarkers, Tumor/genetics* ; Middle Aged ; Machine Learning ; Computational Biology

Objective To explore the predictive efficiency of serum Dickkopf-1 protein(DKK-1)and C1q tumor necrosis factor-related protein 3(CTRP3)levels for thoracolumbar fractures in patients with osteoporosis(OP).Methods Between January 2020 and August 2024,124 OP patients treated at the hospital were recruited into the OP group.Based on the occurrence of thoracolumbar fractures,these OP patients were divided into a non-fracture group(n=70)and a fracture group(n=54).Additionally,124 healthy individuals who underwent physical examinations served as the control group.The enzyme-linked immunosorbent assay(ELISA)was employed to measure the levels of serum DKK-1 and CTRP3.Multivariate logistic regression analysis was utilized to analyze the influencing factors of thoracolumbar fractures in OP patients.Receiver operating characteristic(ROC)curves were used to evaluate the predictive value of serum DKK-1 and CTRP3 for thoracolumbar fractures in OP patients.Results In comparison with the control group,the serum level of DKK-1 was significantly higher,while the serum level of CTRP3 was significantly lower in the OP group(P<0.05).When compared with the non-fracture group,the fracture group exhibited prominently higher serum DKK-1 levels,age,duration of OP,and proportion of OP grade Ⅲ,whereas the serum CTRP3 level was significantly lower(P<0.05).High expression of DKK-1 was iden-tified as an independent risk factor for thoracolumbar fractures in patients with osteoporosis,while high expression of CTRP3 was found to be an independent protective factor for thoracolumbar fractures in such patients(P<0.05).The area under the curve(AUC)values of serum DKK-1 and CTRP3 levels for predicting thoracolumbar fractures in OP patients were 0.790 and 0.753,respectively.The AUC of the combined prediction of the two was 0.888,which was superior to the individual predictions of either one(ZDKK-1-combined=3.351,ZCTRP3-combined=3.172,both P<0.05).Conclusions In the serum of OP patients,the expression of DKK-1 is upregulated,while the expression of CTRP3 is downregulated.Both are factors influencing the occurrence of thoracolumbar fractures in OP patients.The combination of the two has a high predictive value for the occurrence of thoracolumbar fractures in OP patients.

This study assessed the role and mechanism of the recombinant Bacillus Calmette-Gue?rin vaccine(rBCG)with c-di-AMP adjuvant in regulating metabolism and immunity in epididymal white adipose(eWAT)in mice.Male C57BL/6 mice were intravenously immunized with BCG and rBCG,and their body weights were monitored.eWAT was isolated from the mice,and the stromal vascular fractions(SVFs)cell number was counted with a hemocytometer.Sections of mouse adipose tissue were prepared,and the size,number,and morphology of eWAT adipocytes and crown-like structure(CLS)formation were compared under a microscope after HE staining.The transcription levels of lipid metabolism-associated factors,cytokines and aging-associated genes in each group were determined with qRT-PCR.The body weights of mice gradually increased after immunization with BCG and rBCG.The proportions of eWAT increased,and the SVFs cell number decreased,in rBCG immunized mice.HE staining indicated that BCG immunization promoted hyperplasia,whereas rBCG immunization promoted hypertrophy of eWAT adipocytes;moreover,both BCG and rBCG immunization induced CLS formation in eWAT.The qRT-PCR results indicated that rBCG immunization inhibited the expression of genes associated with lipolysis and energy expenditure in eWAT.BCG immunization had little effect on cytokine transcription,whereas rBCG significantly induced the transcription of IFN-γ and IL-1Ra,and inhibited that of IL-15 and IL-2,but did not induce the expression of aging-associated genes.Thus,rBCG immunization induced eWAT adipocyte hypertrophy,which was associated with the inhibition of eWAT lipolysis and the regulation of cytokine expression.

Objective:To investigate the feasibility of areal bone mineral density (aBMD) quantification and the diagnostic performance for abnormal bone mass using the coronal spectral localizer radiography (SLR) from photon-counting detector CT (PCD-CT).Methods:This cross-sectional study prospectively enrolled 67 participants who underwent both dual-energy X-ray absorptiometry (DXA) and dual-source PCD-CT examinations within 7 days at Ruijin Hospital, Shanghai Jiao Tong University School of Medicine between April 2024 and September 2025. The aBMD values of L1-L4 derived from DXA and calculated based on PCD-CT SLR were obtained (aBMD DXA and aBMD SLR, respectively). Participants were categorized into four groups based on body mass index (BMI): underweight (BMI<18.5 kg/m2, n=3), normal weight (18.5 kg/m2≤BMI<24 kg/m2, n=33), overweight (24 kg/m2≤BMI<28 kg/m2, n=22), and obese (BMI≥28 kg/m2, n=9) groups. Using aBMD DXA as the golden reference, T-scores were calculated, and participants were classified into normal bone mass (T-score≥-1.0, n=42), osteopenia (-2.50.05). Across the normal bone mass, osteopenia, and osteoporosis groups, significant differences were found in aBMD DXA, aBMD SLR, and AE ( P<0.001), but not in RAE ( P=0.426). Using aBMD SLR-based T-score classification, 38, 16, and 13 participants were classifying as having normal bone mass, osteopenia, and osteoporosis. For diagnosing osteoporosis, aBMD SLR achieved an accuracy of 94.0% (63/67), sensitivity of 90.9% (10/11), and specificity of 94.6% (53/56). For detecting abnormal bone mass, the accuracy, sensitivity, and specificity were 94.0% (63/67), 100% (25/25), and 90.5% (38/42), respectively. Conclusions:Quantitative bone density assessment based on PCD-CT SLR is feasible and accurate, unaffected by body habitus or bone mass status, and demonstrates high diagnostic performance for osteoporosis and abnormal bone mass.