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 analyze the proportion and clinicopathological characteristics of HER2-positive breast cancer patients with BRCA1/2 pathogenic variants, and their response to neoadjuvant anti-HER2 targeted therapy. Methods The clinicopathological data of 531 breast cancer patients with germline BRCA1/2 pathogenic variants (201 with BRCA1 variants and 330 with BRCA2 variants) were analyzed. Results Among the 201 BRCA1 and 330 BRCA2 variants, 17 (8.5%) and 42 (12.7%) HER2-positive breast cancer cases were identified, respectively, accounting for 11.1% of all BRCA1/2-mutated breast cancers. Compared with BRCA1/2-mutated HR-positive/HER2-negative patients, HER2-positive patients did not present any significant differences in clinicopathological features; however, compared with triple-negative breast cancer patients, HER2-positive patients had a later onset age and lower tumor grade. Among the 17 patients who received neoadjuvant anti-HER2 targeted therapy, 10 cases achieved pCR (58.8%), whereas 7 cases did not (41.2%). Conclusion HER2-positive breast cancer accounts for more than 10% of BRCA1/2-mutated patients. Approximately 40% of these patients fail to achieve pCR after neoadjuvant targeted therapy. This phenomenon highlights the possibility of combining anti-HER2 targeted agents with poly (adenosine diphosphate-ribose) polymerase inhibitors.

Diabetic cardiomyopathy (DCM) is a medical condition characterized by cardiac remodeling and dysfunction in individuals with diabetes mellitus. Sarcoplasmic reticulum (SR) and mitochondrial Ca²⁺ overload in cardiomyocytes have been recognized as biological hallmarks in DCM; however, the specific factors underlying these abnormalities remain largely unknown. In this study, we aimed to investigate the role of a cardiac-specific long noncoding RNA, D830005E20Rik (Trdn-as), in DCM. Our results revealed the remarkably upregulation of Trdn-as in the hearts of the DCM mice and cardiomyocytes treated with high glucose (HG). Knocking down Trdn-as in cardiac tissues significantly improved cardiac dysfunction and remodeling in the DCM mice. Conversely, Trdn-as overexpression resulted in cardiac damage resembling that observed in the DCM mice. At the cellular level, Trdn-as induced Ca²⁺ overload in the SR and mitochondria, leading to mitochondrial dysfunction. RNA-seq and bioinformatics analyses identified calsequestrin 2 (Casq2), a primary calcium-binding protein in the junctional SR, as a potential target of Trdn-as. Further investigations revealed that Trdn-as facilitated the recruitment of METTL14 to the Casq2 mRNA, thereby enhancing the m⁶A modification of Casq2. This modification increased the stability of Casq2 mRNA and subsequently led to increased protein expression. When Casq2 was knocked down, the promoting effects of Trdn-as on Ca²⁺ overload and mitochondrial damage were mitigated. These findings provide valuable insights into the pathogenesis of DCM and suggest Trdn-as as a potential therapeutic target for this condition.
Animals ; Diabetic Cardiomyopathies/pathology* ; RNA, Long Noncoding/genetics* ; Myocytes, Cardiac/metabolism* ; Mice ; Calsequestrin/genetics* ; Calcium/metabolism* ; Male ; Sarcoplasmic Reticulum/metabolism* ; Methyltransferases/metabolism* ; Mice, Inbred C57BL ; Mitochondria, Heart/metabolism* ; Disease Models, Animal ; Mitochondria/metabolism*

[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.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

Yuejuwan is a classic formula widely used by doctors to relieve liver and depression， with precise clinical efficacy in traditional Chinese medicine （TCM）. The authors used bibliometric methods to collect and collate 495 ancient data related to Yuejuwan， and 105 valid data were screened out， involving 68 ancient Chinese medical books. After systematic verification of the origin of the formula of Yuejuwan， the main treatment symptoms， the principle of the formula， the composition of the drug， the dosage， the preparation method， the decoction method， and other information， the results showed that Yuejuwan originated from the Danxi Xinfa （《丹溪心法》） of the Yuan Dynasty by ZHU Zhenheng， and it is composed of five medicines， namely Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， Massa Medicata Fermentata， and Gardeniae Fructus. In terms of drug base， Atractylodis Rhizoma， Cyperi Rhizom， Chuanxiong Rhizoma， and Gardeniae Fructus are in line with the records in the 2020 edition of Chinese Pharmacopoeia， and Massa Medicata Fermentata is used. The preparation method is as follows： Massa Medicata Fermentata and Gardeniae Fructus are fried， and Cyperi Rhizoma is roasted in vinegar. Chuanxiong Rhizoma is used in the raw form， and Atractylodis Rhizoma is prepared with rice swill. The formula can regulate Qi and relieve depression and broaden the middle and remove fullness. It is clinically used for the treatment of six types of depression syndromes， chest and diaphragm plumpness， abdominal distension and leg acid， acid swallowing and vomiting， eating and drinking disharmony， toothache， mouth and tongue sores， and other diseases. The most used dosage of the formula in the ancient records through the ages is converted into the modern dosage， namely 3.05 g Atractylodis Rhizoma， 3.05 g Cyperi Rhizoma， 3.05 g Chuanxiong Rhizoma， 3.05 g Massa Medicata Fermentata， and 3.05 g Gardeniae Fructus， and the daily dosage is 15.25 g. The converted dosage is similar to that recorded in the 2020 edition of the Chinese Pharmacopoeia. The formula is in pill form， and medicine should be taken with lukewarm boiled water after the meal. Through the excavation of the ancient literature related to Yuejuwan， the key information of the formula is identified， with a view to providing a more accurate reference for the clinical application of Yuejuwan and subsequent in-depth investigation.

When the epidemiology of infectious diseases is more complex, it is often difficult for disease prediction studies based on a single model to capture the multidimensional nature of disease transmission. In recent years, combining different models to improve infectious disease prediction has gradually become a research trend and hotspot. Existing studies have shown that combined models usually have higher prediction performance and better generalization ability. The current combined models mainly combine machine learning and other models, including time-series models, dynamic models, etcetera. In addition, integrated learning that combines diverse machine learning techniques also holds significant importance across various research domains. This paper reviews the progress of applying combined models around machine learning in infectious disease prediction to promote the innovation and practice of combined models for infectious diseases and help to build smarter and more efficient infectious disease early warning and prediction methods and systems.

Methods such as compartmental models, agent-based models, time series models, and machine learning can be used for the prediction of infectious disease incidence. When disease epidemics are complex, it is often difficult to use a single model to comprehensively and accurately capture the multi dimensional nature of the disease. Exploring the combined application of different models has gradually become a research trend and hotspot in recent years, and the prediction performance of combined models is often better than that of single ones. Current research related to combined models mainly focus on machine learning or compartmental models. In this review, we focus on the combination of compartmental models and other models, and summarize their combination principles, application progress, and advantages or disadvantages for the purpose of promoting the innovation and application of combined models for infectious disease incidence prediction, and establishing a more intelligent and efficient early warning and prediction method or systems for the prevention and control of infectious disease.

Objective:To investigate the influence of genetic and environmental factors on the clinical characteristics of upper urinary tract calculi in pediatric patients.Methods:This study was a retrospective case series. The clinical data of 179 children under the age of 14 with upper urinary tract calculi treated at Beijing Friendship Hospital，Capital Medical University，from August 2014 to February 2023 were analyzed. There were 121 males（67.60%）and 58 females（32.40%），with a median age at onset of 2.10（1.14，5.17）years. Thirty-three cases（18.44%）had a family history of urinary stone disease. Stone characteristics was defined by CT，with a median stone burden（sum of the diameters of all stones）of 1.3（1.00，1.60）cm. Fifty-four（30.17%）children had staghorn calculi. Multiple stones were present in 92 cases（51.40%），and bilateral stones in 52 cases（29.05%），with hydronephrosis was present in 119 children（66.48%）. The median follow-up time was 67 months，and 36 children（20.11%）experienced stone recurrence. Dietary habits and related information were collected by electronic questionnaire，including a total of 115 children（64.25%）with an unbalanced diet，101（56.42%）with insufficient water intake，and 32 children（17.88%）with a preference for a high-protein diet. Tap water was used as the source of drinking water by 128 patients（71.51%），and 107（59.78%）took dietary supplements. Whole-exome sequencing revealed that 55 children（30.73%）carried pathogenic mutations in stone-related genes. Binary logistic regression was used for univariate analysis of above risk factors. Variables with P < 0.1 in univariate analysis and without multicollinearity were included in multivariate logistic regression to further screen for independent risk factors. Results:Multivariate analysis confirmed that carrying stone-related pathogenic gene mutations（ OR = 3.06，95% CI 1.25?7.45， P = 0.014）and insufficient water intake（ OR = 3.28，95% CI 1.14?9.47， P = 0.028）were independent risk factors for higher stone burden. A high-protein diet（ OR = 2.40，95% CI 1.03?5.63， P = 0.044），carrying stone-related pathogenic gene mutations（ OR = 4.57，95% CI 2.21?9.46， P<0.01），and a family history of stones（ OR = 3.18，95% CI 1.28 ~ 7.91， P = 0.013）were independent risk factors for staghorn calculi. Multiple stones were closely associated with a family history of stones（ OR = 2.66，95% CI 1.15-6.17， P = 0.022）and carrying stone-related pathogenic gene mutations（ OR = 3.22，95% CI 1.60-6.48， P = 0.001）. Moreover，carrying stone-related pathogenic gene mutations（ OR = 5.19，95% CI 2.52?13.82， P < 0.01）were an independent risk factor for stone recurrence，whereas dietary supplement intake was a protective factor（ OR = 0.26，95% CI 0.11?0.62， P = 0.002）. Conclusions:Genetic and environmental factors play significant roles in the occurrence and development of pediatric upper urinary tract stones. A high-protein diet as well as a positive family history of stones are independent risk factors for staghorn calculi，and insufficient water intake is a critical environmental factor for stone formation，while appropriate use of dietary supplements may help reduce the risk of stone recurrence. Genetic testing indicates that approximately 30% of children carry stone-related pathogenic gene mutations，and these patients prone to severe stone and an increased risk of recurrence.

Objective:With the help of the advanced ACD Labs/AutoChrom method development software,param-eter simulation design was carried out.Based on the results of software simulation and actual investigation,an HPLC method for the determination of related impurities in safinamide mesylate raw material drug was established.Methods:A Waters Atlantis T3 column(4.6 mm ×250 mm,5 μm)was used.The phosphate buffer with a pH of 7.0 was used as mobile phase A,and acetonitrile was used as mobile phase B.Gradient elution was performed at a flow rate of 1.3 mL·min-1,the detection wavelength was 228 nm,the column temperature was 35 ℃,and the injection volume was 10 μL.Results:Impurities 1-12 in safinamide mesylate could be effectively separated from the main component.The linear ranges were 0.102 1-5.329,0.102 9-5.379 7,0.106 8-4.972 9,0.102 1-5.135,0.103 8-5.314 7,0.097 7-4.869 8,0.095 2-4.760 5,0.095 3-5.109 5,0.050 5-5.287 5,0.098 7-4.885 6,0.102 4-4.997 5,0.050 8-5.134 7 μg·mL-1,respectively.The limits of detection(LOD)were 0.051,0.051 4,0.053 4,0.051 1,0.051 9,0.048 8,0.047 6,0.047 7,0.025 3,0.049 3,0.051 2,0.025 4 μg·mL-1,and the limits of quantification(LOQ)were 0.102 1,0.102 9,0.106 8,0.102 1,0.103 8,0.097 7,0.095 2,0.095 3,0.050 5,0.098 7,0.102 4,0.050 8 μg·mL-1.The accuracy,preci-sion and durability all met the requirements.Conclusion:This method is suitable for the determination and quality control of the related substances of 12 impurities in safinamide mesylate raw materials.