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 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: Huachansu injection (HCSI), a promising anti-cancer Chinese medicine injection, has been reported to have the potential for reducing the toxicity of chemotherapy and improving the quality of life for colorectal cancer (CRC) patients. The objective of this study is to explore the synergistic and detoxifying effects of HCSI when used in combination with irinotecan (CPT-11). METHODS: To investigate the effect of HCSI on anti-CRC efficacy and intestinal toxicity of CPT-11, we measured changes in the biological behavior of LoVo cells in vitro, and anti-tumor effects in LoVo cell xenograft nude mice models in vivo. Meanwhile, the effect of HCSI on intestinal toxicity and the uridine diphosphate-glucuronosyltransferase 1A1 (UGT1A1) expression was investigated in the CPT-11-induced colitis mouse model. Subsequently, we measured the effect of HCSI and its 13 constituent bufadienolides on the expression of UGT1A1 and organic anion transporting polypeptides 1B3 (OATP1B3) in HepG2 cells. RESULTS: The combination index (CI) results showed that the combination of HCSI and CPT-11 exhibited a synergistic effect (CI < 1), which significantly suppressing the LoVo cell migration, enhancing G2/M and S phase arrest, and inhibiting tumor growth in vivo. Additionally, the damage to intestinal tissues was attenuated by HCSI in CPT-11-induced colitis model, while the increased expression of UGT1A1 in HepG2 cells and in mouse was observed. CONCLUSION The co-therapy with HCSI alleviated the intestinal toxicity induced by CPT-11 and exerted an enhanced anti-CRC effect. The detoxifying mechanism may be related to the increased expression of UGT1A1 and OATP1B3 by HCSI and its bufadienolides components. The findings of this study may serve as a theoretical insights and strategies to improve CRC patient outcomes. Please cite this article as: Jiang B, Meng ZY, Hu YJ, Chen JJ, Zong L, Xu LY, Zhang XQ, Zhang JX, Han YL. Huachansu injection enhances anti-colorectal cancer efficacy of irinotecan and alleviates its induced intestinal toxicity through upregulating UGT1A1-OATP1B3 expression in vitro and in vivo. J Integr Med. 2025; 23(5):576-590.
Irinotecan/therapeutic use* ; Animals ; Glucuronosyltransferase/genetics* ; Humans ; Colorectal Neoplasms/metabolism* ; Drugs, Chinese Herbal/therapeutic use* ; Mice, Nude ; Mice ; Up-Regulation/drug effects* ; Male ; Xenograft Model Antitumor Assays ; Mice, Inbred BALB C ; Hep G2 Cells ; Cell Line, Tumor ; Intestines/drug effects* ; Amphibian Venoms

Cervi Cornu Pantotrichum is a precious animal-derived Chinese medicinal material, while there are often adulterants derived from animals not specified in the Chinese Pharmacopeia in the market, which disturbs the safety of medication. This study was conducted with the aim of strengthening the quality control of Cervi Cornu Pantotrichum and standardizing the medication. To achieve digital identification of Cervi Cornu Pantotrichum from different sources, a digital identification model was constructed based on ultra-high performance liquid chromatography tandem quadrupole time-of-flight mass spectrometry(UHPLC-QTOF-MS~E) combined with an adaptive boosting algorithm(Adaboost). The young furred antlers of sika deer, red deer, elk, and reindeer were processed and then subjected to polypeptide analysis by UHPLC-QTOF-MS~E. Then, the mass spectral data reflecting the polypeptide information were obtained by digital quantification. Next, the key data were obtained by feature screening based on Gini index, and the digital identification model was constructed by Adaboost. The model was evaluated based on the recall rate, F_1 composite score, and accuracy. Finally, the results of identification based on the constructed digital identification model were validated. The results showed that when the Gini index was used to screen the data of top 100 characteristic polypeptides, the digital identification model based on Adaboost had the best performance, with the recall rate, F_1 composite score, and accuracy not less than 0.953. The validation analysis showed that the accuracy of the identification of the 10 batches of samples was as high as 100.0%. Therefore, based on UHPLC-QTOF-MS~E and Adaboost algorithm, the digital identification of Cervi Cornu Pantotrichum can be realized efficiently and accurately, which can provide reference for the quality control and original animal identification of Cervi Cornu Pantotrichum.
Animals ; Algorithms ; Antlers/chemistry* ; Boosting Machine Learning Algorithms ; Chromatography, High Pressure Liquid/methods* ; Deer ; Drugs, Chinese Herbal/chemistry* ; Mass Spectrometry/methods* ; Quality Control ; Reindeer ; Tandem Mass Spectrometry/methods* ; Tissue Extracts/analysis*

Glucocorticoid-induced osteoporosis(GIOP) is a serious metabolic bone disease caused by long-term application of glucocorticoids(GCs). Traditional Chinese medicine(TCM) has unique advantages in improving bone microstructure and antagonizing hormone toxicity. This paper systematically reviews the theoretical research, clinical application, and basic research progress of TCM intervention in GIOP. In terms of theoretical research, the theory of "kidney governing bone and generating marrow" indicates that the kidney is closely related to bone development, revealing that core pathogenesis of GIOP is Yin-Yang disharmony, which can be discussed using the theories of "Yin fire", "ministerial fire", and "Yang pathogen damaging Yin". Thus, regulating Yin and Yang is the basic principle to treat GIOP. In terms of clinical application, effective empirical prescriptions(such as Bushen Zhuanggu Decoction, Bushen Jiangu Decoction, and Zibu Ganshen Formula) and Chinese patent medicines(Gushukang Capsules, Hugu Capsules, Xianling Gubao Capsules, etc.) can effectively increase bone mineral density(BMD) and improve calcium and phosphorus metabolism. The combination of traditional Chinese and western medicine can reduce the risk of fracture and play an anti-GIOP role. In terms of basic research, it has been clarified that active ingredients of TCM(such as fraxetin, ginsenoside Rg_1, and salidroside) reduce bone loss and promote bone formation by inhibiting oxidative stress, ferroptosis, and other pathways, effectively improving bone homeostasis. Additionally, classical prescriptions(Modified Yiguan Decoction, Modified Qing'e Pills, Zuogui Pills, etc.) and Chinese patent medicines(Gushukang Granules, Lurong Jiangu Dropping Pills, Gubao Capsules, etc.) can improve bone marrow microcirculation, promote osteoblast differentiation, and inhibit bone cell apoptosis through multiple pathways, multiple targets, and multiple mechanisms. Through the above three aspects, the TCM research status on GIOP is elucidated in the expectation of providing reference for its diagnosis and treatment using traditional Chinese and western medicine treatment programs.
Osteoporosis/physiopathology* ; Humans ; Glucocorticoids/adverse effects* ; Drugs, Chinese Herbal/administration & dosage* ; Animals ; Medicine, Chinese Traditional ; Bone Density/drug effects*

PURPOSE: The rate of complications among patients undergoing surgery has increased due to infection with SARS-CoV-2 and other variants of concern. However, Omicron has shown decreased pathogenicity, raising questions about the risk of postoperative complications among patients who are infected with this variant. This study aimed to investigate complications and related factors among patients with recent Omicron infection prior to undergoing orthopedic surgery. METHODS: A historical control study was conducted. Data were collected from all patients who underwent surgery during 2 distinct periods: (1) between Dec 12, 2022 and Jan 31, 2023 (COVID-19 positive group), (2) between Dec 12, 2021 and Jan 31, 2022 (COVID-19 negative control group). The patients were at least 18 years old. Patients who received conservative treatment after admission or had high-risk diseases or special circumstances (use of anticoagulants before surgery) were excluded from the study. The study outcomes were the total complication rate and related factors. Binary logistic regression analysis was used to identify related factors, and odds ratio (OR) and 95% confidence interval (CI) were calculated to assess the impact of COVID-19 infection on complications. RESULTS: In the analysis, a total of 847 patients who underwent surgery were included, with 275 of these patients testing positive for COVID-19 and 572 testing negative. The COVID-19-positive group had a significantly higher rate of total complications (11.27%) than the control group (4.90%, p < 0.001). After adjusting for relevant factors, the OR was 3.08 (95% CI: 1.45-6.53). Patients who were diagnosed with COVID-19 at 3-4 weeks (OR = 0.20 (95% CI: 0.06-0.59), p = 0.005), 5-6 weeks (OR = 0.16 (95% CI: 0.04-0.59), p = 0.010), or ≥7 weeks (OR = 0.26 (95% CI: 0.06-1.02), p = 0.069) prior to surgery had a lower risk of complications than those who were diagnosed at 0-2 weeks prior to surgery. Seven factors (age, indications for surgery, time of operation, time of COVID-19 diagnosis prior to surgery, C-reactive protein levels, alanine transaminase levels, and aspartate aminotransferase levels) were found to be associated with complications; thus, these factors were used to create a nomogram. CONCLUSION Omicron continues to be a significant factor in the incidence of postoperative complications among patients undergoing orthopedic surgery. By identifying the factors associated with these complications, we can determine the optimal surgical timing, provide more accurate prognostic information, and offer appropriate consultation for orthopedic surgery patients who have been infected with Omicron.
Humans ; COVID-19/complications* ; Male ; Female ; Middle Aged ; Postoperative Complications/epidemiology* ; SARS-CoV-2 ; Orthopedic Procedures/adverse effects* ; Aged ; Nomograms ; Adult ; Retrospective Studies ; Risk Factors

Objective:To establish a Zika virus-infected suckling SD rat model with type Ⅰ interferon receptor deficiency（SD-Ifnar1 -/-［cc］）and provide a novel animal model for investigating Zika virus pathogenesis and developing therapeutic strategies. Methods:Seventeen-day-old male SD-Ifnar1 -/-［cc］rat pups were randomly divided into experimental and control groups（ n=6）. The experimental group received an intraperitoneal injection of Zika virus strain SZ-wiv01（5×10 4 PFU/rat，200 μl），while the control group received an equal volume of phosphate-buffered saline（PBS）. Animals were euthanized via CO 2 asphyxiation on days 12 and 15 post-infection（dpi），and brain，spleen，liver，and testis tissues were harvested. Viral loads and cytokine expression levels were quantified using quantitative real-time PCR qRT-PCR），and histopathological evaluation was performed via HE staining. Results:qRT-PCR analysis revealed no detectable Zika virus RNA（Ct >35）in control tissues. In the experimental group，viral RNA（Ct <35）was detected in the brain，spleen，liver，and testis by day 12，with stable viral loads across tissues by day 15（ P>0.05）. Cytokine profiling demonstrated significant upregulation in the brain at day 12：IFN-β（5.58-fold， P<0.01），IL-6（7.11-fold， P<0.01），and CCL5（3.79-fold， P<0.01）. By day 15，these levels remained elevated（IFN-β：3.07-fold；IL-6：4.04-fold；CCL5：5.22-fold；all P<0.01）. In the liver，IFN-β mRNA decreased to 20% of the control level by day 15（ P<0.05），while IL-6 declined to 24% and CCL5 mRNA dropped to 38% by day 12. No significant cytokine changes were observed in the spleen（ P>0.05）. Testicular tissues exhibited reduced IFN-β mRNA levels（43% of control at day 12，31% at day 15； P<0.05）. Histopathological analysis revealed marked splenomegaly with disrupted splenic corpuscle architecture and lymphocyte depletion，significant inflammatory cell infiltration in hepatic portal areas，and testicular structural disorganization with inflammatory infiltration in Zika-infected rats. Conclusions:The SD-Ifnar1 -/-［cc］suckling rat model is successfully established and validated. This model recapitulates systemic Zika virus infection，tissue-specific pathology，and immune response dynamics，providing a robust platform for elucidating viral pathogenesis and advancing antiviral drug development.

Objective:To establish a Zika virus-infected suckling SD rat model with type Ⅰ interferon receptor deficiency（SD-Ifnar1 -/-［cc］）and provide a novel animal model for investigating Zika virus pathogenesis and developing therapeutic strategies. Methods:Seventeen-day-old male SD-Ifnar1 -/-［cc］rat pups were randomly divided into experimental and control groups（ n=6）. The experimental group received an intraperitoneal injection of Zika virus strain SZ-wiv01（5×10 4 PFU/rat，200 μl），while the control group received an equal volume of phosphate-buffered saline（PBS）. Animals were euthanized via CO 2 asphyxiation on days 12 and 15 post-infection（dpi），and brain，spleen，liver，and testis tissues were harvested. Viral loads and cytokine expression levels were quantified using quantitative real-time PCR qRT-PCR），and histopathological evaluation was performed via HE staining. Results:qRT-PCR analysis revealed no detectable Zika virus RNA（Ct >35）in control tissues. In the experimental group，viral RNA（Ct <35）was detected in the brain，spleen，liver，and testis by day 12，with stable viral loads across tissues by day 15（ P>0.05）. Cytokine profiling demonstrated significant upregulation in the brain at day 12：IFN-β（5.58-fold， P<0.01），IL-6（7.11-fold， P<0.01），and CCL5（3.79-fold， P<0.01）. By day 15，these levels remained elevated（IFN-β：3.07-fold；IL-6：4.04-fold；CCL5：5.22-fold；all P<0.01）. In the liver，IFN-β mRNA decreased to 20% of the control level by day 15（ P<0.05），while IL-6 declined to 24% and CCL5 mRNA dropped to 38% by day 12. No significant cytokine changes were observed in the spleen（ P>0.05）. Testicular tissues exhibited reduced IFN-β mRNA levels（43% of control at day 12，31% at day 15； P<0.05）. Histopathological analysis revealed marked splenomegaly with disrupted splenic corpuscle architecture and lymphocyte depletion，significant inflammatory cell infiltration in hepatic portal areas，and testicular structural disorganization with inflammatory infiltration in Zika-infected rats. Conclusions:The SD-Ifnar1 -/-［cc］suckling rat model is successfully established and validated. This model recapitulates systemic Zika virus infection，tissue-specific pathology，and immune response dynamics，providing a robust platform for elucidating viral pathogenesis and advancing antiviral drug development.

Giardia duodenalis is a zoonotic intestinal parasitic protozoan that can severely harm human and animal health,and causes substantial economic losses to humans and animal husbandry annually.Currently,no effective drugs and vaccines a-gainst giardiasis are available.With the development of bioinformatics and sequencing techniques,genomic sequencing of the Giardia genome and comparative genomics analysis have advanced understanding of the molecular characteristics of Giardia.This article reviews the current status of genome sequencing,structural genomics,comparative genomics,and functional ge-nomics for Giardia duodenalis,to provide new ideas for understanding the origins,evolution and pathogenic mechanisms of Giardia,to aid in the diagnosis,design of new veterinary drugs,and development of vaccines for giardiasis.

To sum up integrative nursing experience of a case with chronic refractory wound formation caused by drug extravasation.The essentials of integrative nursing are:structured nursing intervention of"assessment-management-treatment"based on the Triangle of Wound Assessment;determination of the timing for integrative nursing according to the theory of TCM sores and ulcers;implementation of copper board scraping method to promote circulation of qi and blood;use of Huo-long Comprehensive Moxibustion Therapy to promote muscle regeneration.With the help of the cooperation of the multidisciplinary specialist nursing team,the wound was completely healed after 59 days of integrated traditional Chinese and Western medicine nursing interventions.