Alternative splicing (AS), a critical mechanism in gene expression regulation, is essential for cellular physiological processes such as proliferation, metabolism, and apoptosis via generating diverse mRNA isoforms and expanding protein diversity. In the field of oncology, AS has been significantly implicated in the regulation of various biological processes involved in tumorigenesis and cancer progression. Specific mutations or expression changes in splicing factors, such as SF3B1, SRSF2, and U2AF1, play key roles in multiple types of cancer. This review summarizes novel therapeutic strategies for cancer targeting alternative splicing, including inhibiting spliceosome components, antisense oligonucleotide (ASO) therapy, and approaches to overcome drug resistance and immune evasion in cancer. These strategies, which modulate the activity of splicing factors and RNA-modifying enzymes, show promise in addressing chemoresistance and enhancing the efficacy of immunotherapy. This review provides a comprehensive exploration of alternative splicing mechanisms, their role in cancer, and their potential as a therapeutic target, highlighting the importance of alternative splicing in cancer research and therapy.

The brain-gut interaction theory is a multidimensional integrative concept based on the brain-gut axis， involving neural， endocrine， and immune regulatory networks as well as the gut microbiota. Zang-fu organs （脏腑） theory in traditional Chinese medicine （TCM） shows a high degree of consistency with the brain-gut interaction theory， and the core functions such as the spleen and stomach governing the ascending of the clear and descending of the turbid， the liver governing the free flow of qi， and the heart governing mental and emotional activities are closely associated with the multi-level regulatory mechanisms of the brain-gut axis. TCM therapy can modulate brain-gut interactions through multiple pathways in the treatment of spleen and stomach diseases， including the regulation of gastrointestinal hormone secretion， neurotransmitter levels， the hypothalamic-pituitary-adrenal （HPA） axis， immune homeostasis and inflammatory responses， as well as the gut microecology. However， current basic research on the brain-gut interaction theory in TCM for spleen and stomach diseases still faces several challenges， such as difficulties in integrating TCM spleen-stomach theory with modern pathophysiology， lack of innovation in research concepts， and limitations in research methodologies. It is therefore proposed that multidisciplinary collaboration， multi-omics technologies， and targeted research approaches should be adopted to provide more comprehensive methods for basic research on TCM spleen and stomach diseases， thereby promoting the in-depth development of brain-gut interaction theory.

Activity cliffs(ACs)are generally defined as pairs of similar compounds that only differ by a minor structural modification but exhibit a large difference in their binding affinity for a given target.ACs offer crucial insights that aid medicinal chemists in optimizing molecular structures.Nonetheless,they also form a major source of prediction error in structure-activity relationship(SAR)models.To date,several studies have demonstrated that deep neural networks based on molecular images or graphs might need to be improved further in predicting the potency of ACs.In this paper,we integrated the triplet loss in face recognition with pre-training strategy to develop a prediction model ACtriplet,tailored for ACs.Through extensive comparison with multiple baseline models on 30 benchmark datasets,the results showed that ACtriplet was significantly better than those deep learning(DL)models without pre-training.In addition,we explored the effect of pre-training on data representation.Finally,the case study demonstrated that our model's interpretability module could explain the prediction results reasonably.In the dilemma that the amount of data could not be increased rapidly,this innovative framework would better make use of the existing data,which would propel the potential of DL in the early stage of drug discovery and optimization.

OBJECTIVE: To explore the clinical significance of trisomy 7 signaled by non-invasive prenatal testing (NIPT). METHODS: Pregnant women with high risk for trisomy 7 by NIPT from January 2017 to December 2023 were selected as the study subjects, and the results of prenatal diagnosis and follow-up were analyzed. Literature related to pregnant women with a high risk for trisomy 7 by NIPT from January 2016 to July 2024 was retrieved from China Biomedical Literature Database, Wanfang Database, China National Knowledge Infrastructure and PubMed database. Relevant information such as the incidence of trisomy 7 by NIPT, positive predictive value (PPV), and pregnancy outcomes were collected. This study has been approved by the Medical Ethics Committee of Lianyungang Maternal and Child Health Care Hospital (Ethics No. JS2022010). RESULTS: A total of 51 women with a high risk for trisomy 7 by NIPT were identified. Thirty-two of them had chosen chromosomal microarray analysis (CMA) of amniotic fluid cells, and 1 case of mosaic trisomy 7 was detected, which had yielded a PPV of 3.13%. Four women had opted termination of pregnancy, 1 had miscarriage, 4 had pre-term and/or low weight birth, whilst the remaining 42 (82.4%) had full-term delivery. In total 19 literature were retrieved, which had involved 278 cases of trisomy 7 signaled by NIPT, among which 5 fetuses with mosaic trisomy 7 (3.14%) were confirmed. Among the 211 women with follow-up outcomes, 2 (0.95%) had intrauterine growth restriction, 3 (1.42%) had abnormal fetal structure detected by ultrasound, 2 (0.95%) had miscarriage, 9 (4.27%) underwent pregnancy termination, 28 (13.27%) had preterm and/or low weight birth, whilst 167 (79.14%) had normal delivery. In 18 cases, chromosomal analysis of placental tissue was carried out, and 17 were confirmed to have mosaicism trisomy 7. CONCLUSION The PPV for trisomy 7 signaled by NIPT is extremely low. Although most of such women had a full term delivery, adverse pregnancy outcomes may still occur in a minority of cases. Clinicians should provide adequate genetic counseling for such women and recommend appropriate prenatal diagnosis strategies and optimal perinatal management plans.
Humans ; Female ; Pregnancy ; Trisomy/diagnosis* ; Chromosomes, Human, Pair 7/genetics* ; Adult ; Prenatal Diagnosis/methods* ; Noninvasive Prenatal Testing/methods* ; Pregnancy Outcome ; Clinical Relevance

Activity cliffs (ACs) are generally defined as pairs of similar compounds that only differ by a minor structural modification but exhibit a large difference in their binding affinity for a given target. ACs offer crucial insights that aid medicinal chemists in optimizing molecular structures. Nonetheless, they also form a major source of prediction error in structure-activity relationship (SAR) models. To date, several studies have demonstrated that deep neural networks based on molecular images or graphs might need to be improved further in predicting the potency of ACs. In this paper, we integrated the triplet loss in face recognition with pre-training strategy to develop a prediction model ACtriplet, tailored for ACs. Through extensive comparison with multiple baseline models on 30 benchmark datasets, the results showed that ACtriplet was significantly better than those deep learning (DL) models without pre-training. In addition, we explored the effect of pre-training on data representation. Finally, the case study demonstrated that our model's interpretability module could explain the prediction results reasonably. In the dilemma that the amount of data could not be increased rapidly, this innovative framework would better make use of the existing data, which would propel the potential of DL in the early stage of drug discovery and optimization.

Jasmonic acid (JA) is a common plant hormone with regulatory effects on plant growth and development. The jasmonate ZIM-domain (JAZ) proteins (JAZs), as key regulators in the JA signaling pathway, are involved in multiple biological processes such as anthocyanin accumulation, flowering time modulation, and secondary metabolite synthesis in plants. JAZs are essential components of many regulatory signaling networks. The JAZ genes, members of the plant-specific TIFY family, have been identified in the genomes of a variety of horticultural plants. Here, we summarized the research progress in the roles of JAZs in horticultural plants, aiming to give insights into the further study of the biological functions and regulatory networks of JAZ genes in plants.
Horticulture ; Repressor Proteins/metabolism* ; Plant Proteins/metabolism* ; Cyclopentanes/metabolism* ; Oxylipins/metabolism* ; Plants/metabolism* ; Plant Development

Objective:To investigate the characteristics, influencing factors, consequences, coping strategies, and preventive measures of workplace violence in medical consortiums.Methods:Medical professionals from a specialized hospital in South China and its consortium members (2 primary-level, 1 secondary-level, and 1 tertiary-level hospitals) were surveyed in December 2022 and July 2023. Quantitative research included 1013 participants, while qualitative research involved 35 participants. Workplace violence was assessed using the "National Case Study Tool for Workplace Violence in Healthcare Institutions-Survey Questionnaire", with qualitative analysis conducted through semi-structured interviews. Inter-group comparisons employed chi-square tests or Fisher's exact probability test, with logistic regression models for bivariate analysis.Results:The overall incidence rates of violence, psychological violence, and physical violence in this medical consortium were 31.7% (321/1, 013) , 30.6% (310/1, 013) , and 3.3% (33/1, 013) , respectively. Specifically, the overall violence rates in Level 1, Level 2, and Level 3 hospitals were 22.7% (41/181) , 27.4% (43/157) , and 35.1% (237/675) . The physical violence rates were 1.1% (2/181) , 10.2% (16/157) , and 2.2% (15/675) , respectively. The psychological violence rates stood at 22.7% (41/181) , 24.8% (39/157) , and 34.1% (230/675) . The total violence in tertiary hospitals was significantly higher than that in tertiary hospitals ( F=10.10, P=0.002) , and the incidence of psychological violence in tertiary hospitals was significantly higher than that in tertiary hospitals ( Flevel 1 vs level 3=8.61, P=0.003; Flevel 2 vs level 3=4.96, P=0.026) , incidence of verbal insults ( Flevel 1 vs level 3=8.25, P=0.004; Flevel 2 vs level 3=6.36, P= 0.012) was significantly higher than that of level 1 and level 2 hospitals. The incidence of physical violence in secondary hospitals was significantly higher than that of other two-level hospitals ( P<0.001) . Compared with other types of violence, the incidence of verbal insults is highest in hospitals at all levels. Higher anxiety about violence was a risk factor for psychological violence in hospitals at all levels ( Flevel1 hospital=15.44, P=0.004; Flevel2 hospital=22.87, P<0.001; Flevel3 hospital=84.12, P<0.001) . Health workers in all three levels of hospitals has a high level of approval of existing workplace violence interventions. The main causes of workplace violence were poor communication between doctors and patients (13.2%) , service attitude problems (12.5%) and patient illness (16.9%) . Conclusion:Workplace violence remains prevalent within this medical consortium. Targeted measures should be implemented based on hospital size, functions, and patient demographics.

As the incidence of autism rises annually,its unknown pathogenesis makes it challenging to treat the varied repetitive and stereotyped behaviors that characterize its core symptoms.The striatum is an important brain region for the control of locomotor behaviors,featuring a unique mosaic structure,complex neural origin,and finely regulated developmental process that is highly susceptible to genetic and environmental influences.Both clinical and basic studies have indicated that abnormal development of the striatal nuclei may contribute to the pathogenesis of these repetitive stereotyped behaviors in autism.Clinical imaging data have primarily identified gross anatomical variations in the stratum(e.g.,its general outline),but lack the resolution necessary to detect the cellular and subcellular alterations within the region.By introducing the abnormalities in the spatiotemporal development of the striatum and their links to the characteristic behaviors of autism,this review aims to advance our understanding of the role of the striatum in autism pathogenesis and to inform future animal studies and clinical research.

Objective:To explore the potential profile characteristics of cancer-related worries in patients after surgery for early-stage lung cancer, and the influencing factors of different categories, provide reference for patients to formulate individualized rehabilitation programs and psychological intervention measures.Methods:A cross-sectional survey method was used to conveniently select patients who received outpatient follow-up after lung cancer surgery at Shanghai Pulmonary Hospital Affiliated to Tongji University from October 2022 to October 2023 as the survey subjects. The general information questionnaire, the Chinese version of Brief Cancer-related Worry Inventory, the Chinese version of the MD Anderson Symptom Inventory, Brief Illness Perception Questionnaire, 10-item Connor Davidson Resilience Scale and Medical Coping Modes Questionnaire were examined. Latent profile analysis was performed on the cancer-related worry scores of lung cancer surgery patients, and its influencing factors were explored by binary Logistic regression analysis.Results:A total of 302 patients after lung cancer surgery were included, including 111 males and 191 females, aged 18-83(52.73 ± 13.07) years, and the Chinese version of the Brief Cancer-related Worry Inventory scored 380.00 (130.00, 720.00) points. The cancer-related worry of patients after lung cancer surgery could be divided into two potential profile categories: "high worry type" (138 patients accounted for 45.70%) and "low worry type" (164 patients accounted for 54.30%). Symptom burden ( OR=1.055, 95% CI 1.039-1.072), illness perception ( OR=1.190, 95% CI 1.127-1.256), resilience ( OR=0.933, 95% CI 0.886-0.983), and coping modes of confrontation ( OR=0.857, 95% CI 0.757-0.971) and acceptance-resignation ( OR=1.247, 95% CI 1.050-1.481) were influencing factors for grouping cancer related worry profiles (all P<0.05). Conclusions:There was significant heterogeneity in the level of cancer-related worries among patients after surgery for early-stage lung cancer. It is recommended that medical staff provide targeted continuity care measures based on the characteristics of worries of different categories of patients to improve patients' postoperative mental health and quality of life.

Objective:To investigate the characteristics, influencing factors, consequences, coping strategies, and preventive measures of workplace violence in medical consortiums.Methods:Medical professionals from a specialized hospital in South China and its consortium members (2 primary-level, 1 secondary-level, and 1 tertiary-level hospitals) were surveyed in December 2022 and July 2023. Quantitative research included 1013 participants, while qualitative research involved 35 participants. Workplace violence was assessed using the "National Case Study Tool for Workplace Violence in Healthcare Institutions-Survey Questionnaire", with qualitative analysis conducted through semi-structured interviews. Inter-group comparisons employed chi-square tests or Fisher's exact probability test, with logistic regression models for bivariate analysis.Results:The overall incidence rates of violence, psychological violence, and physical violence in this medical consortium were 31.7% (321/1, 013) , 30.6% (310/1, 013) , and 3.3% (33/1, 013) , respectively. Specifically, the overall violence rates in Level 1, Level 2, and Level 3 hospitals were 22.7% (41/181) , 27.4% (43/157) , and 35.1% (237/675) . The physical violence rates were 1.1% (2/181) , 10.2% (16/157) , and 2.2% (15/675) , respectively. The psychological violence rates stood at 22.7% (41/181) , 24.8% (39/157) , and 34.1% (230/675) . The total violence in tertiary hospitals was significantly higher than that in tertiary hospitals ( F=10.10, P=0.002) , and the incidence of psychological violence in tertiary hospitals was significantly higher than that in tertiary hospitals ( Flevel 1 vs level 3=8.61, P=0.003; Flevel 2 vs level 3=4.96, P=0.026) , incidence of verbal insults ( Flevel 1 vs level 3=8.25, P=0.004; Flevel 2 vs level 3=6.36, P= 0.012) was significantly higher than that of level 1 and level 2 hospitals. The incidence of physical violence in secondary hospitals was significantly higher than that of other two-level hospitals ( P<0.001) . Compared with other types of violence, the incidence of verbal insults is highest in hospitals at all levels. Higher anxiety about violence was a risk factor for psychological violence in hospitals at all levels ( Flevel1 hospital=15.44, P=0.004; Flevel2 hospital=22.87, P<0.001; Flevel3 hospital=84.12, P<0.001) . Health workers in all three levels of hospitals has a high level of approval of existing workplace violence interventions. The main causes of workplace violence were poor communication between doctors and patients (13.2%) , service attitude problems (12.5%) and patient illness (16.9%) . Conclusion:Workplace violence remains prevalent within this medical consortium. Targeted measures should be implemented based on hospital size, functions, and patient demographics.