In maintaining normal function and activation processes, glycolysis, lipid metabolism, and amino acid metabolism play key roles in the energy demand of platelets. In the resting state, platelets primarily rely on glycolysis and aerobic oxidation to generate energy. Upon activation, platelets preferentially utilize glycolysis, as it can more rapidly provide the required ATP. In addition to glycolysis, platelets can also utilize glycogen and fatty acids as additional energy sources. The ATP provided by fatty acid oxidation is crucial for platelet activation. Additionally, during platelet storage, distinctive changes in energy metabolism occur. In the early stages of storage, platelets primarily rely on glycolysis and the pentose phosphate pathway (PPP) to generate energy. In the mid-storage phase, there is an increase in tricarboxylic acid cycle (TCA) metabolism. In the later stages of storage, cellular metabolism gradually declines. The regulation and flexibility of these metabolic pathways play a critical role in the survival and function of platelets in different states.

BackgroundWith the rapid development of the networking technologies， internet addiction has increasingly become a serious mental health issue. Previous studies have revealed the link between childhood trauma and internet addiction， while the mediating role of perceived stress in this link is not yet clear. ObjectiveTo investigate the role of medical students' perceived stress in the relationship between childhood trauma and internet addiction， so as to provide references for the intervention of internet addiction. MethodsFrom February to March 2023， a random sampling technique was used to select 1 232 undergraduate students from the School of Clinical Medical Sciences of Southwest Medical University as research subjects. The Childhood Trauma Questionnaire-Short Form （CTQ-SF）， Perceived Stress Scale （PSS）， Internet Gaming Disorder Scale （IGDS）， and Bergen Social Media Addiction Scale （BSMAS） were used for assessment. Pearson's correlation coefficients were calculated. The mediation effect of perceived stress in the relationship between childhood trauma and internet addiction was tested using Model 4 in the SPSS Process 4.1， and Bootstrapping procedure involving 5 000 replicates was employed to confirm the statistical significance. ResultsA total of 1 016 （82.47%） valid completed questionnaires were gathered. The CTQ-SF scores of medical students were positively correlated with PSS scores， IGD scores， and BSMAS scores （r=0.583， 0.474， 0.465， P<0.01）. PSS scores were positively correlated with IGD scores and BSMAS scores （r=0.369， 0.479， P<0.01）. Childhood trauma in medical students was found to positively predict perceived stress （β=0.191， P<0.01）， social media addiction （β=0.160， P<0.01）， and internet gaming disorder （β=0.106， P<0.01）. Perceived stress played a significant mediating role in the relationship between childhood trauma and internet gaming disorder， indirect effect value was 0.018 （95% CI： 0.009~0.027）， accounting for 16.98%. Perceived stress also exhibited a significant mediating role in the relationship between childhood trauma and social media addiction， indirect effect value was 0.063 （95% CI： 0.048~0.079）， accounting for 39.38%. ConclusionChildhood trauma in medical students may affect internet gaming disorder and social media addiction through perceived stress. ［Funded by 2022 Annual Research Project of Sichuan Applied Psychology Research Center，（number，CSXL-22102）］

Objective: To accurately determine the ABO blood group of samples exhibiting forward/reverse grouping discrepancies by combining first-generation (Sanger) and third-generation (long-read) sequencing technologies. Methods: Five samples with ABO forward/reverse grouping discrepancies were selected. Serological testing was conducted using automated blood typing instruments and the tube method. Genotyping was conducted using both Sanger and long-read sequencing technologies. Results: Sanger sequencing identified specific genetic mutations in two samples, with genotypes of ABO BA. 04/ABO O.01.01 and ABO B3.05/ABO O.01.02. Further analysis with long-read sequencing revealed specific mutations in the +5.8kb region of intron 1 (c.28+5885C>T and c.28+5861T>G) in three samples where mutations were not detected by Sanger sequencing. These mutations affect the expression of the ABO antigens and are likely responsible for the ABO subgroup phenotypes. Conclusion: The integration of Sanger and long-read sequencing technologies effectively identifies genetic variations causing ABO subtypes, providing a scientific basis for enhancing clinical transfusion safety and ensuring accurate blood group determination.

Objective: To accurately determine the ABO blood group of samples exhibiting forward/reverse grouping discrepancies by combining first-generation (Sanger) and third-generation (long-read) sequencing technologies. Methods: Five samples with ABO forward/reverse grouping discrepancies were selected. Serological testing was conducted using automated blood typing instruments and the tube method. Genotyping was conducted using both Sanger and long-read sequencing technologies. Results: Sanger sequencing identified specific genetic mutations in two samples, with genotypes of ABO BA. 04/ABO O.01.01 and ABO B3.05/ABO O.01.02. Further analysis with long-read sequencing revealed specific mutations in the +5.8kb region of intron 1 (c.28+5885C>T and c.28+5861T>G) in three samples where mutations were not detected by Sanger sequencing. These mutations affect the expression of the ABO antigens and are likely responsible for the ABO subgroup phenotypes. Conclusion: The integration of Sanger and long-read sequencing technologies effectively identifies genetic variations causing ABO subtypes, providing a scientific basis for enhancing clinical transfusion safety and ensuring accurate blood group determination.

The Kirsten rat sarcoma viral oncogene homolog ( KRAS ) mutation is one of the most prevalent activating alterations in cancer. It indicates a poor overall prognosis due to its highly invasive nature. Although several KRAS inhibitors have been developed in recent years, a significant clinical challenge has emerged as a substantial proportion of patients eventually develop resistance to these therapies. Therefore, identifying determinants of drug resistance is critical for guiding treatment strategies. This review provides a comprehensive overview of the mutation landscape and molecular mechanisms of KRAS activity in various cancers. Meanwhile, it summaries the progress and prospects of small molecule KRAS inhibitors undergoing clinical trials. Furthemore, this review explores potential strategies to overcome drug resistance, with the ultimate goal of steering toward patient-centric precision oncology in the foreseeable future.
Humans ; Drug Resistance, Neoplasm/drug effects* ; Proto-Oncogene Proteins p21(ras)/metabolism* ; Mutation/genetics* ; Neoplasms/genetics* ; Antineoplastic Agents/therapeutic use*

Metastasis serves as an indicator of malignancy and is a biological characteristic of carcinomas. Epithelial-mesenchymal transition (EMT) plays a key role in the promotion of tumor invasion and metastasis and in the enhancement of tumor cell aggressiveness. Prostaglandin E synthase 3 (p23) is a cochaperone for heat shock protein 90 (HSP90). Our previous study showed that p23 is an HSP90-independent transcription factor in cancer-associated inflammation. The effect and mechanism of action of p23 on lung cancer metastasis are tested in this study. By utilizing cell models in vitro and mouse tail vein metastasis models in vivo, the results provide solid evidence that p23 is critical for promoting lung cancer metastases by regulating downstream CXCL1 expression. Rather than acting independently, p23 forms a complex with RNA-binding motif protein 14 (RBM14) to facilitate EMT progression in lung cancer. Therefore, our study provides evidence for the potential role of the RBM14-p23-CXCL1-EMT axis in the metastasis of lung cancer.

Objective: To analyze changes in Rh system antibodies among antibody-positive patients and evaluate the efficacy of Rh phenotype-matched electronic cross-matching (hereinafter referred to as Rh-ECM). Methods: A retrospective analysis was performed on antibody screening data of 48 254 patients in our hospital from December 2023 to March 2025. The antibody screening results were compared between the pre-application phase (n=46 346, control group) and post-application phase (n=48 254, experimental group) of Rh-ECM technology, focusing on the changes in the proportion of Rh system antibodies, with statistical analysis conducted using SPSS 26.0 software. Meanwhile, the initial and re-examination situations of Rh antibody in the antibody screening of approximately 20 000 person-times each before (June 2019 to June 2020, n=21 048) and after (July 2020 to April 2021, n=20 965) of Rh-ECM were evaluated to explore the influence of Rh-ECM on the detection rate of Rh antibody. Results: After Rh-ECM implementation, 345 positive cases (0.7%) (345/48 254) were detected among 48 254 patients, primarily consisting of mns system antibodies (128 cases, 37.1%) (128/345) and rh system antibodies (95 cases, 27.5%) (95/345). Before Rh-ECM implementation, 199 positive cases (0.4%) (199/46 346) were detected among 46 346 patients, with rh system antibodies accounting for 97 cases (48.7%) (97/199). The difference in the composition ratio of Rh antibodies between the two phases was statistically significant (P<0.001), and the relative risk ratio of Rh antibody detection after Rh-ECM implementation was 56.5% compared to before. Another set of data analysis showed that before Rh-ECM, there were 37 cases with initial positive results and 8 cases with re-examination positive results; after Rh-ECM, these numbers were 44 and 2 respectively There was a statistically significant difference in the re-examination positive rate of Rh antibodies between the two stages (P<0.05). Conclusion: The implementation of Rh-ECM technology significantly reduced the proportion of Rh system antibodies among patients with positive antibody screening results. This suggests that Rh-ECM can effectively reduce the detection rate of Rh antibodies, which may be related to the reduced risk of antibody production due to Rh-matched transfusion, thus improving transfusion safety. Therefore, Rh-ECM is worthy of broader promotion in clinical transfusion testing.

Objective To investigate the family aggregation of human hookworm infections in Sichuan Province and to identify its influencing factors, so as to provide insights into management of hookworm infections. Methods Three to four counties (districts) were sampled from basins, hilly regions and mountainous regions around the basins in Sichuan Province from 2017 to 2022 as fixed survey sites, and 17 to 30 counties (districts) were selected as mobile survey sites. At least 1 000 permanent residents at ages of 3 years and older were sampled from each survey site, and hookworm eggs were detected in human stool samples using the Kato-Katz technique. Subjects with 2 and more family members and at least 2 individuals diagnosed with hookworm infections in the county (district) where they lived were selected, and the familial aggregation of hookworm infections was analyzed using the test of goodness of fit for binomial distribution. In addition, the knowledge and practice of hookworm disease control were investigated among residents in Hejiang County and Wutongqiao District, Leshan City, Sichuan Province in 2021 and 2022, and the difference in the knowledge and practice of hookworm disease control was compared between members with and without familial aggregation of hookworm infections. Results A total of 66 812 residents from 25 196 households were sampled from main endemic areas of hookworm diseases in Sichuan Province from 2017 to 2022 for detection of hookworm infections, and 4 403 infections were identified (6.59% prevalence). The distribution of human hookworm infections in Sichuan Province did not fit the binomial distribution, and showed family aggregations (χ² = 2 116.759, P < 0.001). Family aggregation of human hookworm infections was found in endemic areas with 1% and higher prevalence of human hookworm infections (χ² = 136.006 to 428.738, all P values < 0.001), and family aggregation of human hookworm infections was identified in different years (χ² = 87.615 to 471.838, all P values < 0.001) and in different terrains of endemic areas (χ² = 8.423 to 1 144.176, all P values < 0.001). The members with hookworm infections had median eggs per gram of 180 (interquartile range, 780) in aggregated families and 72 (102) in non-aggregated families (Z = −2.686, P < 0.05). The proportion of members in families with aggregation of hookworm infections who knew the preventive measures of hookworm disease was significantly lower than in non-aggregated families (24.49% vs. 51.72%; χ² = 10.262, P < 0.05), and the proportion of members in families with aggregation of hookworm infections who often worked barefoot on the ground was significantly higher than in non-aggregated families (30.61% vs. 13.25%; χ² = 6.289, P < 0.05). Conclusions There is a familial aggregation of human hookworm infections in Sichuan Province, and awareness of preventive measures for hookworm disease and frequent working barefoot on the ground are associated with familial aggregation of hookworm infections.

【Objective】 To study the relationship between ABO subtype, para-Bombay blood group and genotype, so as to explore the possible molecular mechanism of these two blood groups, and provide accurate genetic detection targets and theoretical basis for the accurate identification of ABO blood group. 【Methods】 First, the serology of 24 200 patients with blood type identification in the Ruijin Hospital from February to December in 2022 were analyzed, as well as 10 ambiguous ABO samples from other hospitals(3 were suspected ABO subtype and 7 were suspected para-Bombay blood group). Then ABO subtypes and para-Bombay blood groups were directly sequenced or post-clonal sequencing was performed to analyze ABO, FUT1 and FUT2 gene sequences. 【Results】 Among the 24 200 patients underwent blood type identification, 7 cases of ABO subtypes were detected. Among the 10 ambiguous samples sent by other hospitals, 2 of ABO subtypes, 1 of normal type A, and 7 of para-Bombay blood type were detected. In total, we identified blood types as follows: 1) 9 ABO subtypes: Ael(AEL.02/O.01.02), AelB(AEL.05/B.01), three of B3(2 of B3.03/O.01.01, 1 of B3.03/O.01.02), B(A)(BA.02/O.01.01), ABweak(A1.02/BW.07), Bweak(BW.31 /O.01.02), A2Bweak(A2.05 /BW.31); 2) 7 para-Bombay blood group: ABm^h (FUT1^*01N.13/FUT1^*01N.13), 4 of Am^h (3 of FUT1^*01N.06/FUT1^*01N.13, 1 of FUT1^*01N.13/FUT1^*01N.13); two of Bm^h (FUT1^*01N.06 /FUT1^*01N.06, FUT1^*01N.06/FUT1^*01N.13), all of FUT2 of the 7 cases were FUT2^*01/FUT2^*01. 【Conclusion】 Clinical ABO blood group variant samples need to be identified in combination with serological and molecular biology to improve the accuracy of identification, thus providing a reference for safe blood transfusion, organ transplantation, and the prediction and prevention of fetal-maternal immune hemolytic disease.

[Objective] To investigate the functional differences and potential effects of chromatin spatial structure in patients with normal karyotype and complex karyotype multiple myeloma. [Methods] High-throughput chromosome conformational capture (Hi-C) analysis was performed on plasma cells of 1 case with 1q21 complex karyotype and 1 case with normal karyotype multiple myeloma, and the differences in three-dimensional genome structure between the two patients were analyzed, and the transcriptome characteristics of plasma cells were combined to investigate the differential features through gene functional enrichment. [Results] A/B switch occurred in 36% of the chromatin compartments in two cases, and 1 041 genes in patient with complex karyotype had B/A switch. About 3 500 topological association domains (TADs) were identified in each sample, and there was no significant difference. The number of loops identified in complex karyotype sample was 1 069, which was 1/6 of the normal sample, and there were significant differences in the number of three different types of loops, which to some extent reflected the loss of genome stability. Transcriptome analysis showed significant differences in expression profiles between the two patients, and a total of 6 150 differentially expressed genes (3 303 up-regulated genes and 2 847 down-regulated genes) were identified. [Conclusion] Compared with patient with normal karyotype, patient with 1q21 complex karyotype multiple myeloma exhibit significant changes in the spatial structure of plasma cell chromatin at different levels, which leads to changes in gene expression and activation of pathways related to cancer progression.