ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

ObjectiveIn traditional Chinese medicine (TCM), the foundational doctrine that the eyes reflect the essence of the internal viscera establishes ocular observation as a cornerstone of diagnostic practice. Specifically, the morphological characteristics and coloration variations of the scleral microvasculature serve as critical clinical indicators for assessing the dynamic balance of Qi and Blood, as well as the pathological status of internal organs. Historically, however, TCM eye diagnosis has relied predominantly on the subjective clinical experience and visual acuity of individual practitioners, leading to inherent challenges in standardization and reproducibility. While automated computer-aided diagnostic systems offer a promising solution, existing vessel segmentation algorithms encounter significant domain-specific bottlenecks when applied to scleral imagery. These challenges primarily stem from the highly reflective and moist nature of the ocular surface, which generates severe reflective interference. Furthermore, the inherent low contrast of fine capillary networks against complex background textures, compounded by non-uniform illumination, frequently results in high false-positive rates, misdetections, and severe vessel fragmentation. To address these critical limitations and advance the objective quantification of TCM diagnostics, this paper proposes a novel, highly robust sclera vessel segmentation framework that innovatively integrates Frangi-Sato dual-filter adaptive enhancement with pixel-level reflection detection. MethodsThe proposed methodology systematically addresses the segmentation pipeline through three synergistic stages. First, to overcome the structural limitations of single-filter approaches, a multi-scale weighted fusion strategy is meticulously designed to harness the complementary extraction capabilities of both Frangi and Sato filters. This adaptive enhancement optimally balances the preservation of main vessel trunk continuity with the heightened sensitivity required for delineating delicate, low-contrast peripheral capillaries. Second, to tackle the persistent issue of reflective highlights, a sophisticated multi-feature synergistic reflection detection module is introduced. By jointly analyzing local information entropy, gradient field variations, and intensity statistical distributions, this module achieves precise, pixel-level identification and elimination of reflective artifacts without compromising the underlying vascular structures. Finally, a dual-level adaptive thresholding strategy, featuring an innovative “core protection” mechanism, is implemented. This critical step effectively suppresses complex background noise while rigorously preserving the structural and topological integrity of the intricate vessel network, preventing the structural breaks often seen in conventional binarization methods. ResultsThe efficacy of the proposed framework was rigorously evaluated using both self-constructed clinical datasets specifically acquired for TCM research and standardized public datasets. Extensive experimental results demonstrate that the proposed method consistently outperforms state-of-the-art traditional approaches and contemporary deep learning models. Specifically, the proposed method achieves a Dice similarity coefficient of approximately 0.71 on the private clinical dataset, and secures the best performance across the majority of quantitative metrics on both datasets. Notably, the framework exhibits exceptional robustness and generalization capabilities in highly challenging scenarios characterized by intense reflective interference, low signal-to-noise ratios, and cross-domain image variations. ConclusionThis study successfully realizes the high-integrity, automated segmentation of scleral vessel networks under complex clinical imaging conditions. By overcoming the fundamental algorithmic challenges of reflection interference and micro-vessel loss, the proposed methodology provides potential support for the digitization, objective standardization, and intelligent advancement of modern TCM eye diagnosis systems.

The aim of this study was to qualitatively and quantitatively detect coronavirus(CoV)in the feces of bats from Qinghua Cave,Yunnan Province,China.CoV was qualitatively tested with reverse transcription polymerase chain reaction(RT-PCR),and homology and genetic evolution were analyzed with bioinformatics software.The established reverse transcription real-time fluores-cence quantitative PCR(qRT-PCR)method was applied to CoV quantification in bat feces.The positivity rate of CoV in 306 fecal samples collected from the fulvous fruit bat(Rousettus leschenaultia)was 7.8%(24/306)according to RT-PCR.All 24 strains of CoV belonged to β-CoV,and showed a similarity of 86.8%-100.0%at the nucleotide level and 95.2%-100.0%at the amino acid level,with respect to other β-CoV sequences in the NCBI database.The positivity rate of CoV was 18.6%(57/306)according to qRT-PCR,a value higher than that according to RT-PCR(χ2=25.3,P<0.05).The mean β-CoV load was 1.3×103 copies/μL.In conclusion,the bats in Qinghua Cave,Yunnan Province,carried CoV belonging to β-CoV.The established qRT-PCR method achieved good sensitiv-ity,accuracy,reproducibility,and a higher detection rate than that of RT-PCR,and can be used for rapid detection of β-CoV in bats.

Objective:To explore the therapeutic effect of drug-coated balloon(DCB)combined drug-eluting stent(DES)on coronary bifurcation lesions.Methods:A total of 108 patients with coronary bifurcation lesions admitted in Shanghai Ninth People's Hospital Huangpu Branch,Shanghai Jiaotong University School of Medicine between February 2021 and March 2023 were enrolled in this randomized controlled study.Patients were randomly divided into combined treatment group(n=54,DCB was implanted in the sub-branch,and DES was implanted in the main branch)and DES group(n=54,DES were implanted in both main branch and sub-branch).Clinical therapeutic effect,coronary angiography quantitative parameters before,instant and 9 months after operation and clinical out-comes during 1-year follow-up after operation were compared between two groups.Results:The total effective rate of combined treatment group was significantly higher than that of DES group(96.30％vs.87.04％,P=0.030).Compared to those in DES group,instant and 9 months after operation,patients in the combined treatment group had significant higher diameters of main branch vessel[(3.13±0.31)mm vs.(3.01±0.25)mm,(2.99±0.33)mm vs.(2.84±0.23)mm],sub-branch vessel[(2.51±0.26)mm vs.(2.42±0.13)mm,(2.44±0.24)mm vs.(2.29±0.36)mm],and significant lower main branch stenosis rate[(6.05±0.21)％vs.(6.24±0.31)％,(9.06±0.23)％vs.(10.12±0.12)％]and sub-branch stenosis rate[(7.38±0.42)％vs.(7.63±0.18)％,(8.07±0.39)％vs.(11.25±0.22)％](P＜0.05 or＜0.01).There were no significant difference in incidence of target lesion revascularization,cardiogenic death and major adverse cardiovascular events between two groups(P＞0.05 all).Conclusion:Drug-eluting stent combined drug-coated balloon may promote vascular branch dilation of coro-nary artery lesions,increase the minimum lumen diameter of sub-branch vessels,and reduce the occurrence of ste-nosis in the treatment of coronary bifurcation lesion,which had similar effectiveness and safety with drug-eluting stent technique.

Objective:To study the effects and mechanisms of juglone on the proliferation and apoptosis of acute myeloid leukemia(AML)cells.Methods:Juglone and AML targets were collected from public databases,and the intersecting target clusters were taken for functional enrichment analysis to explore the potential mechanism of juglone in the treatment of AML.Then wet experiments were performed to verify.AML cell lines including KG-1a,MV-411,THP-1 and MOLM-13 were treated with different concentrations of juglone for 24 h.MTT assay was used to detect cell viability and determine the IC50,and the most sensitive cell line was screened for subsequent experiments.Flow cytometry was used to detect the apoptosis of cells treated with different concentrations of juglone.Western blot was performed to check the expression of relevant proteins.Results:Eleven targets were obtained as potential targets for juglone in the treatment of AML,and the top ten significantly enriched pathways were intrinsic pathway of apoptosis,programmed cell death,cytochrome c-mediated apoptotic response,apoptosis,apoptotic factor-mediated response,regulated necrosis,cytokine signaling in immune system,signaling by interleukins,oncogene induced senescence,and signal transduction.The cell viability of KG-1a,MV-411,THP-1 and MOLM-13 was decreased with increasing juglone concentration after 24 h of juglone treatment(r=-0.992,-0.886,-0.956,-0.910).Among them,MOLM-13 was the most sensitive to juglone.The results of flow cytometry showed that the apoptosis rate of MOLM-13 tended to significantly increase with the increasing concentration of juglone(r=0.99).At the same time point,p-RIPK1/RIPK1,p-RIPK3/RIPK3,and p-MLKL/MLK were decreased in each juglone concentration group compared with control group.Conclusion:Juglone inhibits the viability of KG-1a,MV-411,THP-1 and MOLM-13 cells,and induces apoptosis of MOLM-13 cells,the mechanism of which may be related to the inhibition of RIPK1/RIPK3/MLKL signaling pathway.

OBJECTIVE To analyze the characteristics of imported malaria cases in West China Hospital of Sichuan University in recent years and to provide reference for the prevention and control of imported infectious diseases.METHOD A retrospective analysis of 62 cases of imported malaria from abroad reported in West China Hospital of Sichuan University from 2012 to 2023 were retrospectively analyzed.RESULTS From 2012 to 2023,62 cases of imported malaria were reported,including 49 cases(79.03％)of falciparum malaria,10 cases(16.13％)of vivax malaria,and 3 cases(4.84％)of ovale malaria.Among the imported malaria cases,9 cases were severe malaria,with 8(16.33％,8/49)severe cases caused by falciparum malaria,of which 6 cases(75.00％,6/8)were cere-bral malaria.The cases were mainly Chinese citizens and young-to-middle-aged adults,with the highest concentra-tion in the 40-49 age group(37.10％,23/62).There were more males than females,with a male-to-female sex ratio of 11.4∶1;the predominant occupation was worker(38.71％,24/62).The primary region of importation was Africa(90.32％,56/62).There was importation throughout the year,with no distinct seasonal distribution pattern.Two of the admitted cases died(severe cases of falciparum malaria,which developed into cerebral malari-a),while the rest were improved and discharged from the hospital after standardized treatment.CONCLUSIONS Cases of imported malaria from abroad are characterized by Chinese nationality,males,young adults and workers.The type of malaria is mainly falciparum malaria,and the prognosis for most cases is relatively good.It is necessary to strengthen the construction of joint prevention and control systems and other long-term mechanisms,and to continuously and scientifically implement various strategies and measures to prevent the re-emergence of malaria through imported ca-ses,in order to avoid the occurrence of secondary cases resulting from imported infections.

Objective To develop a deep learning model based on fundus retinal images to improve the detection rate of mild cognitive impairment(MCI)in patients with coronary heart disease,achieve early intervention and improve prognosis.Methods The study was a single-center cross-sectional study that retrospectively included patients diagnosed with coronary heart disease(CHD)by coronary angiography(≥50％ stenosis of at least one coronary vessel)from Beijing Anzhen Hospital between November 2021 and December 2022.The whole data set was randomly divided into the training set and the testing set according to the ratio of 8∶2 for model development.After that,the patient data of the same center from January 2023 to April 2023 were included in the time verification method to verify the model.The diagnostic criteria for MCI were MMSE＜27 or MoCA＜26.Four kinds of convolutional neural network(CNN)architectures were used to train fundus images,and a comprehensive vision model of MCI detection was established through model integration.The area under the curve(AUC),sensitivity and specificity of the receiver operating curve(ROC)were used to evaluate the performance of the AI model.Results We collected 5 880 eligible fundus images from 3 368 CHD patients.Based on the results of the MMSE scale,the algorithm was labeled,including 2 898 males and 527 MCI patients.The AUC of the deep learning model in the test group is 0.733(95％CI 0.688-0.778),and the sensitivity of the algorithm in the test group is 0.577(95％CI 0.528-0.625)by using the operating point with the maximum sum of sensitivity and specificity.With a specificity of 0.758(95％CI 0.714-0.802),corresponding to a validated AUC of 0.710(95％CI 0.601-0.818).Based on the results of the MoCA scale,the algorithm labels 2 437 males and 1 626 MCI patients.The AUC of the deep learning model in the test group was 0.702(95％CI 0.671-0.733).The operating point with the maximum sum of sensitivity and specificity was selected,and the sensitivity of the algorithm was 0.749(95％CI 0.719-0.778)and the specificity was 0.561(95％CI 0.527-0.595),corresponding to the AUC value of the verification group was 0.674(95％CI 0.622-0.726).Conclusions The deep learning algorithm model based on fundus images has good diagnostic performance,and may be used as a new non-invasive,convenient and rapid screening method for MCI in CHD population.

OBJECTIVE To analyze the characteristics of imported malaria cases in West China Hospital of Sichuan University in recent years and to provide reference for the prevention and control of imported infectious diseases.METHOD A retrospective analysis of 62 cases of imported malaria from abroad reported in West China Hospital of Sichuan University from 2012 to 2023 were retrospectively analyzed.RESULTS From 2012 to 2023,62 cases of imported malaria were reported,including 49 cases(79.03％)of falciparum malaria,10 cases(16.13％)of vivax malaria,and 3 cases(4.84％)of ovale malaria.Among the imported malaria cases,9 cases were severe malaria,with 8(16.33％,8/49)severe cases caused by falciparum malaria,of which 6 cases(75.00％,6/8)were cere-bral malaria.The cases were mainly Chinese citizens and young-to-middle-aged adults,with the highest concentra-tion in the 40-49 age group(37.10％,23/62).There were more males than females,with a male-to-female sex ratio of 11.4∶1;the predominant occupation was worker(38.71％,24/62).The primary region of importation was Africa(90.32％,56/62).There was importation throughout the year,with no distinct seasonal distribution pattern.Two of the admitted cases died(severe cases of falciparum malaria,which developed into cerebral malari-a),while the rest were improved and discharged from the hospital after standardized treatment.CONCLUSIONS Cases of imported malaria from abroad are characterized by Chinese nationality,males,young adults and workers.The type of malaria is mainly falciparum malaria,and the prognosis for most cases is relatively good.It is necessary to strengthen the construction of joint prevention and control systems and other long-term mechanisms,and to continuously and scientifically implement various strategies and measures to prevent the re-emergence of malaria through imported ca-ses,in order to avoid the occurrence of secondary cases resulting from imported infections.

Objective:To analyze the clinical characteristics and cytokines expression characteristics in infants with mild and severe respiratory syncytial virus (RSV) infection.Methods:From May 2023 to December 2023, plasma samples and clinical information were collected from 16 infants with RSV infection and 14 control infants. Cytek Aurora flow cytometry (Cytek, America) and Enzyme linked immunosorbent assay (ELISA) were used to detect the expression levels of 25 cytokines after mild and severe RSV infection.Results:Cough and nasal obstruction were the main clinical manifestations in infants with mild RSV infection, accompanied by polypnea, wheezing and other symptoms. The main symptoms of severe RSV infection were cough and rales, accompanied by fever and polypnea. In comparison with the control group, the expression levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-13, IL-22, TNF-α, IFN-α, IFN-β, MIP-1β, I-TAC, ENA-78, GROα, Eotaxin, and MCP-1 in the RSV infection group all exhibited an upregulation trend. Both IP-10 and MIP-3α demonstrated a downward trend in the RSV infection group; however, there was no statistically significant difference ( P>0.05). The levels of IL-10, IFN-γ, MIP-1α, and IL-8 in the RSV infection group were significantly higher than those in the control group, whereas the levels of MIG, TARC, and RANTES in the RSV infection group were significantly lower than those in the control group ( P<0.05). The levels of IL-2, IL-4, IL-5, IL-6, IL-9, IL-10, IL-13, IL-22, IFN-β, IFN-γ, TNF-α, IL-8, I-TAC, MIP-1β, Eotaxin, and MCP-1 in the mild RSV infection group were significantly higher than those in the severe RSV infection group ( P>0.05). Among these, the levels of MIG, RANTES, TARC, MIP-3α, and ENA-78 in the mild infection group were all lower than those in the severe infection group. The expressions of ENA-78 and MIP-1α in the severe infection group were significantly higher than those in the mild infection group and also higher than those in the control group. There was no significant difference in IP-10 and GROα between the mild and severe RSV infection groups ( P>0.05). Conclusions:The differences in clinical features and cytokines between infants with mild and severe RSV infection provide important data support for the prevention and treatment of RSV infection in infants.

This article reports 2 cases of urinary retention in Alzheimer's disease with agitation treated by acupuncture. Based on patients' clinical symptoms, the etiology and pathogenesis were determined, and acupuncture was applied to Baihui (GV20), Sishencong (EX-HN1), Shenting (GV24), and bilateral Ciliao (BL32), Zhongliao (BL33), Fengchi (GB20), Taiyang (EX-HN5), etc. to regulate the mind and promote water metabolism. The positive and negative electrodes of the SDZ-Ⅴ type electroacupuncture device were attached to ipsilateral Ciliao (BL32), Zhongliao (BL33) respectively, with continuous wave, at the frequency of 15 Hz, and the current of 3 to 10 mA, depending on patients' tolerance. The needles were retained for 20 min. The treatment was delivered once every other day, 3 interventions a week and 12 interventions as 1 course. Both patients reported the micturition desire after 1 intervention with acupuncture and the catheter was removed on the same day. The urination was ameliorated without dysuresia after 1-2 courses of treatment, and the agitated behavior was alleviated. It can be the reference for the clinical treatment of urinary retention in patients with Alzheimer's disease with agitation.
Humans ; Alzheimer Disease/psychology* ; Acupuncture Therapy ; Urinary Retention/etiology* ; Male ; Female ; Aged ; Acupuncture Points ; Psychomotor Agitation/complications*