BackgroundCognitive function is closely related to an individual's quality of life and social functioning， with approximately 20%~35% of patients with depressive disorder experiencing some degree of cognitive impairment even after clinical symptom remission. Existing evidence suggests that tACS can improve specific cognitive domains， such as memory function， while its effects on other cognitive dimensions， such as executive functioning， attention， and information processing speed， remain unclear. ObjectiveTo explore the effects of tACS on the multidimensional cognitive functions and emotional problems of patients with depressive disorder， thus to provide references for the treatment of depressive disorder. MethodsForty-nine patients with depressive disorder who were hospitalized in the Fourth People's Hospital of Wuhu from November 2022 to October 2024 and met the diagnostic criteria for depressive disorder outlined in the Diagnostic and Statistical Manual of Mental Disorders， fifth edition （DSM-5）， were selected as study participants. Subjects were randomly divided into study group （n=23） and control group （n=26） based on Microsoft Excel. Both groups received sertraline treatment. The initial dose was 50 mg/day， which gradually titrated upward based on individual variability， drug tolerance， and therapeutic response， with a maintenance dose ranging from 100 to 200 mg/day. In addition， the study group underwent tACS therapy for 4 weeks， with 5 sessions per week， each lasting 20 minutes. The control group received sham stimulation， in which the stimulus was interrupted after the first 30 seconds. At baseline， the 4^th week， and the 12^th week of treatment， patients were assessed using the Hamilton Depression Scale-17 item （HAMD-17）， Hamilton Anxiety Scale （HAMA）， and MATRICS Consensus Cognitive Battery （MCCB）. ResultsRepeated measures analysis of variance indicated that both the time effect and the time×group interaction effect for HAMD-17 scores were statistically significant between the two groups （F=260.437， 25.309， P<0.01）. At week 12 of treatment， the HAMD-17 score in the study group was lower than that in the control group （t=4.236， P<0.01）. For HAMA scores， the time effect， group effect， and time×group interaction effect were all statistically significant between the two groups （F=248.082， 4.506， 9.500， P<0.05 or 0.01）. At weeks 4 and 12， study group reported lower HAMA scores compared with control group （t=4.580， 2.608， P<0.05 or 0.01）. Regarding the MCCB scores for attention/vigilance， verbal learning， and overall composite， the time effect， group effect， and time×group interaction effect were all statistically significant between the two groups （F=70.331， 27.882， 51.679， 5.560， 10.948， 7.860， 8.490， 3.874， 5.025， P<0.05 or 0.01）. After intervention， the study group showed significantly higher MCCB scores for attention/vigilance， verbal learning， and overall composite at both week 4 （t=-2.149， -3.530， -2.740， P<0.05） and week 12 （t=-3.534， -3.576， -3.838， P<0.01） when compared to the control group. ConclusionThe combined tACS and sertraline therapy may demonstrate superior efficacy to pharmacotherapy alone in the short term for improving attention/vigilance， verbal learning， overall cognitive function， and anxiety symptoms in patients with depressive disorders. Based on the 12-week outcomes， the combined tACS and sertraline therapy not only sustaine its previously observed advantages in improving cognitive domains and anxiety symptoms， but also demonstrate potentially superior efficacy over monotherapy in alleviating depressive symptoms. ［Fund by Clinical Medical Research Transformation Special Project of Anhui Province （number， 202204295107020065）］

Sexual dimorphism in the brain underlies behavioral differences between sexes. The bed nucleus of the stria terminalis (BNST) is a complex nucleus that differs between males and females, but the sexual dimorphism in cytoarchitecture and the connectome of its oval subdivision (ovBNST) remains largely unexplored. By combining snRNA-seq and transgenic labeling, we found a higher density of ovBNST proenkephalin (ovBNST^PENK) neurons in male than female mice. Anatomically, we virally mapped the efferents and afferents of ovBNST^PENK neurons, finding reciprocally dimorphic connections with the hypothalamus and striatum. Gene enrichment analysis suggests that ovBNST^PENK neurons are modulated by the upstream dopamine pathway. Functionally, by applying caspase-3-mediated depletion of ovBNST^PENK neurons, we found that loss of these neurons enhanced locomotor activity in male but not female mice, without altering the anxiety-like phenotypes in either sex. Our study may pave the way for a better understanding of the anatomical and functional profiles of ovBNST^PENK neurons from a sexually dimorphic perspective.
Animals ; Male ; Female ; Septal Nuclei/physiology* ; Sex Characteristics ; Neurons/physiology* ; Enkephalins/metabolism* ; Mice ; Mice, Transgenic ; Protein Precursors/metabolism* ; Mice, Inbred C57BL ; Neural Pathways/physiology*

AIM: To investigate the influence of relevant inflammatory markers in peripheral blood on the progression of neovascular glaucoma(NVG)secondary to diabetic retinopathy(DR)patients.METHODS: Retrospective case-control study. Patients were categorized into two groups based on the presence or absence of NVG: those with proliferative diabetic retinopathy(PDR)alone(PDR group, n=148)and those with NVG secondary to PDR(NVG secondary to PDR group, n=142). Peripheral blood inflammatory markers were evaluated, including white blood cell-related indices, neutrophil-to-lymphocyte ratio(NLR), platelet-to-lymphocyte ratio(PLR), monocyte-to-lymphocyte ratio(MLR), and systemic immune-inflammation index(SII). The distinctions in peripheral blood inflammatory markers between the two groups of patients and their relationships with NVG secondary to PDR were analyzed.RESULTS:No statistically significant differences were observed in basic characteristics between the two groups, confirming their comparability. However, significant differences were found in eosinophil percentage and MLR between the PDR group and the NVG secondary to PDR group(all P<0.05), with both values being significantly higher in the NVG secondary to PDR group. Multivariate Logistic regression analysis revealed that the eosinophil percentage and the MLR were factors influencing the development of patients with NVG secondary to PDR.CONCLUSION: Eosinophil percentage and MLR may be associated with the progression of PDR to NVG, and could serve as potential predictive markers for NVG development in PDR patients.

With the technological innovation and the advances in information technology, acupuncture-moxibustion is on the path of modernization and high-quality development. The research on ancient acupuncture-moxibustion literature has been gradually transformed from traditional sorting and digital research to intelligent knowledge services, so as to realize the deep integration of ancient acupuncture-moxibustion knowledge with the needs of modern clinical practice and scientific research. Guided by the characteristics of acupuncture-moxibustion knowledge and based on the knowledge meta-theory, the in-depth analytical indexing and knowledge organization are conducted on more than 400 kinds of ancient acupuncture-moxibustion literature. Taking ancient literature of meridian symptoms/manifestations as an example, thematic literature research and database construction are carried out. Integrated with database, cloud platform, knowledge domain mapping and other technologies, the sharing service platform of ancient acupuncture-moxibustion knowledge is constructed. As a result, the research and development achievements can be adopted by the researchers in the field of basic theory, clinical practice and research of acupuncture-moxibustion. Finally, through the way of "digital reconstruction + intelligent application", the path and paradigm of digital research of ancient acupuncture-moxibustion literature are explored to provide the references for the innovative utilization of ancient acupuncture-moxibustion literature.
Moxibustion/history* ; Humans ; Acupuncture Therapy/history* ; History, Ancient ; Knowledge

OBJECTIVE: To organize and display systematically the ancient medical records of stroke treated with acupuncture and moxibustion based on the knowledge element theory of information technology, so as to provide the path and paradigm for the construction of ancient acupuncture and moxibustion knowledge model. METHODS: The medical records of stroke treated with acupuncture and moxibustion were collected from the monographs of acupuncture and moxibustion and tuina, medical reports, the ancient works of traditional Chinese medicine of comprehensive collection and clinical disorders of each medical department, from the pre-Qin period to the late Qing Dynasty, collected in Zhonghua Yidian (Canon of Chinese Medicine), the fifth edition. Using "knowledge processing platform of ancient Chinese medicine books", the medical records of stroke treated with acupuncture and moxibustion in ancient time were deeply analyzed and indexed. With the MS SQL Server database adopted, the indexing results were exported into logical data; and Neo4j database was employed to build the knowledge graph of stroke treatment with acupuncture and moxibustion in ancient time. RESULTS: There were 43 medical records in 18 ancient books that met the inclusion criteria, and a logical structure was organized and composed of 65 knowledge bodies, 462 knowledge elements, 1,413 semantic types and 315 semantic associations. CONCLUSION Based on the knowledge element theory, the medical records of stroke treated with acupuncture and moxibustion in ancient time have been explored, and the logical data formed can accurately reflect the knowledge of the different attributes inside these medical records. It displays the knowledge organization category from the overall to the local. The knowledge graph generated according to the logical data is conducive to presenting the ancient acupuncture knowledge in view of the "vertical and horizontal" dimensions.
Moxibustion/history* ; Humans ; Acupuncture Therapy/history* ; Stroke/history* ; History, Ancient ; Medical Records ; China

With the continuous development of genomics and precision medicine,targeted therapy and immunotherapy targeting biomarkers have ush-ered in a new era of anti-tumor therapy.However,due to the heterogeneity of tumor cells and the variability of tumor microenvironment,there are still significant differences in response to the same drug even in patient populations with the same bio-marker enrichment.By combining omics data with drug sensitivity algorithms,the response of anti-tu-mor drugs can be predicted and transformed into personalized diagnosis and treatment strategies re-quired for precision medicine,which is expected to improve the effectiveness of anti-tumor drugs in clinical treatment.Currently,machine learning is one of the commonly used modeling algorithms for predicting the response of anti-tumor drugs.How-ever,due to differences in input data and algorithm construction methods,there is currently a lack of comprehensive literature review in this field.There-fore,this article provides a review of machine learning algorithms for predicting anti-tumor drug responses,summarizing publicly available cell ge-nome characterization datasets,machine learning algorithms,and evaluation indicators in drug re-sponse prediction,as well as the current situation and challenges faced in clinical applications,in or-der to provide methodological references for the main research problems and potential solutions of machine learning algorithms in the field of drug re-sponse prediction.

Purpose To explore the clinicopathological features of EBV-positive nodal T-and NK-cell lymphoma.Methods Clinical and pathological data of 5 cases were collected.The expression of CD3,CD56,TIA-1,Granzyme B and other markers were detected by immunohistochemistry.The expression of EBER was detected by in situ hybrid-ization.The gene rearrangement and clonality were analyzed by PCR and polyacrylamide gel electrophoresis.The litera-tures were reviewed.Results The primary lesions of the 5 patients were all located in lymph nodes.All patients pres-ented with multiple lymphadenopathy,B symptoms,elevated lactate dehydrogenase(LDH)and C-reactive protein(CRP),and were in stage Ⅲ/Ⅳ.Histopathologically,the lesions show a diffuse infiltration of large to medium monot-onous tumor lymphocytes.Cell apoptosis,necrosis,and vascular invasion were not significant.Tumor cells of all cases were positive for CD3 but negative for CD56.All cases were positive for the cytotoxic markers.In situ hybridization de-tection showed that the majority of tumor cells were diffusely positive for EBER.Nevertheless,only 4 cases were posi-tive for TCR gene clonal rearrangement.Three patients received chemotherapy,2 patient declined the treatments.The median overall survival was only 3 months.Conclusions EBV-positive nodal T-and NK-cell lymphoma is an EBV-positive lymphoma of cytotoxic T-or NK-cell lineage presenting primarily with nodal disease,which is more common in elderly males.The patient has obvious symptoms and signs,rapid disease progression,and poor prognosis.Under-standing the clinicopathological features of EBV-positive nodal T-and NK-cell lymphoma can help differentiate it from other EBV-positive T-and NK-cell lymphoid proliferations and lymphomas.

Chemotherapy-induced nausea and vomiting (CINV) is one of the common adverse reactions in cancer patients undergoing chemotherapy, with a relatively high incidence. This article reviews the research progress on risk prediction models for CINV, introduces the basic information of related risk prediction models, and compares differences in research methods and risk factors, aiming to provide reference for the establishment of a prevention and assessment system for CINV in cancer patients.

With the continuous development of genomics and precision medicine,targeted therapy and immunotherapy targeting biomarkers have ush-ered in a new era of anti-tumor therapy.However,due to the heterogeneity of tumor cells and the variability of tumor microenvironment,there are still significant differences in response to the same drug even in patient populations with the same bio-marker enrichment.By combining omics data with drug sensitivity algorithms,the response of anti-tu-mor drugs can be predicted and transformed into personalized diagnosis and treatment strategies re-quired for precision medicine,which is expected to improve the effectiveness of anti-tumor drugs in clinical treatment.Currently,machine learning is one of the commonly used modeling algorithms for predicting the response of anti-tumor drugs.How-ever,due to differences in input data and algorithm construction methods,there is currently a lack of comprehensive literature review in this field.There-fore,this article provides a review of machine learning algorithms for predicting anti-tumor drug responses,summarizing publicly available cell ge-nome characterization datasets,machine learning algorithms,and evaluation indicators in drug re-sponse prediction,as well as the current situation and challenges faced in clinical applications,in or-der to provide methodological references for the main research problems and potential solutions of machine learning algorithms in the field of drug re-sponse prediction.

Purpose To explore the clinicopathological features of EBV-positive nodal T-and NK-cell lymphoma.Methods Clinical and pathological data of 5 cases were collected.The expression of CD3,CD56,TIA-1,Granzyme B and other markers were detected by immunohistochemistry.The expression of EBER was detected by in situ hybrid-ization.The gene rearrangement and clonality were analyzed by PCR and polyacrylamide gel electrophoresis.The litera-tures were reviewed.Results The primary lesions of the 5 patients were all located in lymph nodes.All patients pres-ented with multiple lymphadenopathy,B symptoms,elevated lactate dehydrogenase(LDH)and C-reactive protein(CRP),and were in stage Ⅲ/Ⅳ.Histopathologically,the lesions show a diffuse infiltration of large to medium monot-onous tumor lymphocytes.Cell apoptosis,necrosis,and vascular invasion were not significant.Tumor cells of all cases were positive for CD3 but negative for CD56.All cases were positive for the cytotoxic markers.In situ hybridization de-tection showed that the majority of tumor cells were diffusely positive for EBER.Nevertheless,only 4 cases were posi-tive for TCR gene clonal rearrangement.Three patients received chemotherapy,2 patient declined the treatments.The median overall survival was only 3 months.Conclusions EBV-positive nodal T-and NK-cell lymphoma is an EBV-positive lymphoma of cytotoxic T-or NK-cell lineage presenting primarily with nodal disease,which is more common in elderly males.The patient has obvious symptoms and signs,rapid disease progression,and poor prognosis.Under-standing the clinicopathological features of EBV-positive nodal T-and NK-cell lymphoma can help differentiate it from other EBV-positive T-and NK-cell lymphoid proliferations and lymphomas.