Platelet Membrane Coated Cu9S8-SNAP for Targeting NIR-II Mild Photothermal Enhanced Chemodynamic/Gas Therapy of Triple-Negative Breast Cancer.

Triple-negative breast cancer (TNBC) is a highly aggressive and uncommon subtype of breast cancer with a poor prognosis. It is crucial to prioritise the creation of a nanotherapeutic method that is highly selective and actively targeting TNBC. This study explores a new nanosystem, Cu9S8-SNAP@PM (C-S@P), composed of Cu9S8-SNAP coated with a platelet membrane (PM). The purpose of this nanosystem is to cure TNBC using multimodal therapy. The utilisation of PM-coated nanoparticles (NPs) enables active targeting, leading to the efficient accumulation of C-S@P within the tumour. The Cu9S8 component within these NPs serves the potential to exert photothermal therapy (PTT) and chemodynamic therapy (CDT). Simultaneously, the S-Nitroso-N-Acetylvanicillamine (SNAP) component enables nitric oxide (NO) gas therapy (GT). Furthermore, when exposed to NIR-II laser light, Cu9S8 not only increases the temperature of the tumour area for PTT, but also boosts CDT and stimulates the release of NO through thermal reactions to improve the effectiveness of GT. Both in vitro and in vivo experimental results validate that C-S@P exhibits minimal side effects and represents a multifunctional nano-drug targeted at tumors for efficient treatment. This approach promises significant potential for TNBC therapy and broader applications in oncology.

The value of cholinesterase inhibitors for improving neuropsychiatric and functional assessment scores in patients with alzheimer disease: a systematic review and meta-analysis of on placebo-controlled RCTs.

INTRODUCTION: At present, increasing reports from different aspects indicated that cholinesterase inhibitors (ChEIs) may be effective on improving neuropsychiatric and functional assessment scores in patients with Alzheimer disease (AD). However, no studies comprehensively and detailedly evaluated the effect of ChEIs on AD. The present analysis was designed to comprehensively evaluate the efficacy and safety of ChEIs for AD. METHODS: Two independent researchers systematically reviewed 1096 searching records in PubMed, Embase, Cochrane Library and Web of Science from inception to May 10, 2023, and finally identified 12 randomized, double-blind, placebo-controlled trials with 6908 participants according to predetermined inclusion and exclusion criteria. The effects were assessed with standardized mean difference (SMD) or odds ratio (OR). The primary outcomes were the mean change and least squares (LS) mean change from baseline to endpoint of neuropsychiatric and functional assessment scores. The secondary outcome was adverse events of ChEIs when compared to placebo for patients with AD. All statistical analyses were performed using the standard statistical procedures provided in Review Manager 5.2 and and Stata 12.0. RESULTS: Pooled analysis indicated that ChEIs significantly improved the assessment scores of the AD Assessment Scale (ADAS) (SMD -1.57; 95% CI -2.64 to -0.51), Clinician's Interview-Based Impression of Change-Plus caregiver input (CIBIC-Plus) (SMD -0.28; 95% CI -0.41 to -0.15), the Neuropsychiatric Inventory (NPI) (both SMD -1.67; 95% CI -2.88 to -0.47 for 10-tiem total score and SMD -1.83; 95% CI -3.25 to -0.42 for 12-tiem total score), and the AD Cooperative Study-Activities of Daily Living (ADCS-ADL) total score (SMD 2.44; 95% CI 1.29 to 3.59), evaluated with mean change from baseline to endpoint. In addition, when evaluated with the LS mean change from baseline to endpoint, ChEIs significantly improved Mini-Mental State Examination (MMSE) total score, the Clinician Interview-Based Impression of Severity, CIBIC-Plus, ADCS-ADL total score, NPI, ADAS. Regarding to adverse events (AEs) of patients with AD, it indicated that compared to placebo, ChEIs did not increase the frequency of severe and serious AEs (fatal or nonfatal) as well as the incidence of death. CONCLUSIONS: Our analysis indicated that ChEIs treatment generally improved neuropsychiatric and functional assessment scores in patients with AD though opposite result was observed in Wechsler Memory Scale. ChEIs had an acceptable safety profile in patients with AD without increasing of any crucial adverse or outcomes.

Upregulation of SLC12A3 and SLC12A9 Mediated by the HCP5/miR-140-5p Axis Confers Aggressiveness and Unfavorable Prognosis in Uveal Melanoma.

Perturbation of solute carriers (SLCs) has been implicated in metabolic disorders and cancer, highlighting the potential for drug discovery and therapeutic opportunities. However, there is relatively little exploration of the clinical relevance and potential molecular mechanisms underlying the role of the SLC12 family in uveal melanoma (UVM). Here, we performed an integrative multiomics analysis of the SLC12 family in multicenter UVM datasets and found that high expression of SLC12A3 and SLC12A9 was associated with unfavorable prognosis. Moreover, SLC12A3 and SLC12A9 were highly expressed in UVM in vivo. We experimentally characterized the roles of these proteins in tumorigenesis in vitro and explored their association with the prognosis of UVM. Lastly, we identified the HCP5-miR-140-5p axis as a potential noncoding RNA pathway upstream of SLC12A3 and SLC12A9, which was associated with immunomodulation and may represent a novel predictor for clinical prognosis and responsiveness to checkpoint blockade immunotherapy. These findings may facilitate a better understanding of the SLCome and guide future rationalized development of SLC-targeted therapy and drug discovery for UVM.

TMAO promotes dementia progression by mediating the PI3K/Akt/mTOR pathway.

BACKGROUND: Dementia poses a serious threat to the daily and social abilities of patients, and trimethylamine-N-oxide (TMAO) is a metabolite of the gut microbiota involved in regulating the inflammatory response. However, the role of TMAO in dementia needs further investigation. This study aimed to investigate the effects and possible mechanisms of TMAO on dementia, which may provide ideas for the treatment of dementia. MATERIALS AND METHODS: Dementia mice were induced by D-galactose + AlCl3, and the changes in learning memory capacity, histopathology, inflammatory factors, and PI3K/Akt/mTOR in mice treated with TMAO were analyzed to determine the mechanism of TMAO action on dementia. In addition, the effect of TMAO+PI3K inhibitor treatment on mice was also analyzed to further determine the mechanism of TMAO effect on dementia. RESULTS: The results revealed that the dementia group had significantly higher TMAO levels and a significant hippocampal injury and inflammatory response. TMAO treatment promoted hippocampal injury and promoted the level of inflammatory cytokines. Further study of PI3K/Akt/mTOR signaling pathway showed that the expression of p-PI3K, p-Akt, and p-mTOR was significantly increased in the dementia group, and it was more obvious after TMAO treatment. And hippocampal injury, inflammatory response, and increase of p-PI3K, p-Akt, p-mTOR were reversed by TMAO+PI3K inhibitor. CONCLUSIONS: This study determined that TMAO promotes dementia through the PI3K/Akt/mTOR signaling pathway, suggesting that TMAO may be a potential target for dementia.

Development and validation of the diagnostic accuracy of artificial intelligence-assisted ultrasound in the classification of splenic trauma.

Background: Spleen is the most vulnerable organ in abdominal trauma. Ultrasound (US) has become an important examination method for splenic trauma. However, the sensitivity of routine US in the diagnosis of splenic trauma is low. Contrast-enhanced ultrasound (CEUS) can improve the sensitivity, but it also has some limitations. This study sought to explore the application value of artificial intelligence (AI)-assisted US in the classification of splenic trauma. Methods: The splenic injuries of Bama miniature pigs were established. A large number of ultrasonic images were collected. Then, 3-fold cross validation (CV) was used to establish the animal models. Next, clinical ultrasonic images were collected at multiple centers. All injuries were diagnosed by CEUS, enhanced CT or surgery. We used animal models to fine tune a small amount of human data, and then established the final AI splenic trauma recognition model. The whole model was constructed by averaging the prediction ability of the 3 fine-tuned models. Finally, 2 doctors' recognition US results of splenic trauma were compared to the AI recognition results. The area under the curve (AUC), sensitivity, specificity, negative predictive value, and positive predictive value were used to evaluate the diagnostic performance in diagnosis of spleen trauma. Results: (I) Based on the receiver operating characteristic (ROC) curves, the test cohort 1 (AUC =0.90) and 2 (AUC =0.84) had a similar performance. Based on the decision curve analysis (DCA) curves, while threshold smaller than 0.8, the proposed model had better performance on test cohort 1 than test cohort 2. Test cohort 1 had higher sensitivity (0.82 vs. 0.71, P<0.01) and higher specificity (0.88 vs. 0.81, P<0.01) than test cohort 2. (II) The diagnostic accuracy of the AI model was higher than that of doctor 1 (0.82 vs. 0.62, P<0.001) and doctor 2 (0.82 vs. 0.66, P<0.001), and its specificity was higher than that of doctor (0.88 vs. 0.78, P=0.001). Conclusions: AI-assisted US diagnosis of splenic trauma can significantly improve the ultrasonic diagnosis rate. We still need to increase the number of samples to further improve the diagnostic efficiency of the model.

A multi-step approach for tongue image classification in patients with diabetes.

BACKGROUND: In China, diabetes is a common, high-incidence chronic disease. Diabetes has become a severe public health problem. However, the current diagnosis and treatment methods are difficult to control the progress of diabetes. Traditional Chinese Medicine (TCM) has become an option for the treatment of diabetes due to its low cost, good curative effect, and good accessibility. OBJECTIVE: Based on the tongue images data to realize the fine classification of the diabetic population, provide a diagnostic basis for the formulation of individualized treatment plans for diabetes, ensure the accuracy and consistency of the TCM diagnosis, and promote the objective and standardized development of TCM diagnosis. METHODS: We use the TFDA-1 tongue examination instrument to collect the tongue images of the subjects. Tongue Diagnosis Analysis System (TDAS) is used to extract the TDAS features of the tongue images. Vector Quantized Variational Autoencoder (VQ-VAE) extracts VQ-VAE features from tongue images. Based on VQ-VAE features, K-means clustering tongue images. TDAS features are used to describe the differences between clusters. Vision Transformer (ViT) combined with Grad-weighted Class Activation Mapping (Grad-CAM) is used to verify the clustering results and calculate positioning diagnostic information. RESULTS: Based on VQ-VAE features, K-means divides the diabetic population into 4 clusters with clear boundaries. The silhouette, calinski harabasz, and davies bouldin scores are 0.391, 673.256, and 0.809, respectively. Cluster 1 had the highest Tongue Body L (TB-L) and Tongue Coating L (TC-L) and the lowest Tongue Coating Angular second moment (TC-ASM), with a pale red tongue and white coating. Cluster 2 had the highest TC-b with a yellow tongue coating. Cluster 3 had the highest TB-a with a red tongue. Group 4 had the lowest TB-L, TC-L, and TB-b and the highest Per-all with a purple tongue and the largest tongue coating area. ViT verifies the clustering results of K-means, the highest Top-1 Classification Accuracy (CA) is 87.8%, and the average CA is 84.4%. CONCLUSIONS: The study organically combined unsupervised learning, self-supervised learning, and supervised learning and designed a complete diabetic tongue image classification method. This method does not rely on human intervention, makes decisions based entirely on tongue image data, and achieves state-of-the-art results. Our research will help TCM deeply participate in the individualized treatment of diabetes and provide new ideas for promoting the standardization of TCM diagnosis.

Genistein interferes with antitumor effects of cisplatin in an ovariectomized breast cancer xenograft tumor model.

Genistein (GEN) has been demonstrated to interfere with antitumor effects of cisplatin (CIS) in vitro. To analyze whether these findings are also relevant in vivo, we examined the effects of combined GEN and CIS treatment in an ovariectomized nude mouse breast cancer xenograft model. Tumor growth and markers for antitumor activity were determined after three weeks of treatment. Furthermore, the concentrations of GEN metabolites were measured in serum, liver, and xenograft tumor tissues using liquid chromatography-tandem mass spectrometry (LC-MS/MS). Three weeks' oral exposure to GEN at a dose of 5 mg kg-1·d-1 resulted in an average concentration of total GEN metabolite equivalent as high as 0.2729 nmol g-1 wet weight in xenograft tumor tissues. At this dosage, GEN significantly antagonized the antitumor effects of CIS. Mechanistically, GEN blocked both the inhibition of cell proliferation and induction of apoptosis triggered by CIS. Moreover, GEN concentrations in xenograft tumor tissues were found to be significantly higher than in serum and liver. In conclusion, our findings suggested that oral GEN exposure at a level comparable to dietary exposure in humans could interfere with CIS chemotherapy.

LncRNA NEAT1 Recruits SFPQ to Regulate MITF Splicing and Control RPE Cell Proliferation.

Purpose: Retinal pigment epithelium (RPE) cell proliferation is precisely regulated to maintain retinal homoeostasis. Microphthalmia-associated transcription factor (MITF), a critical transcription factor in RPE cells, has two alternatively spliced isoforms: (+)MITF and (-)MITF. Previous work has shown that (-)MITF but not (+)MITF inhibits RPE cell proliferation. This study aims to investigate the role of long non-coding RNA (lncRNA) nuclear-enriched abundant transcript 1 (NEAT1) in regulating MITF splicing and hence proliferation of RPE cells. Methods: Mouse RPE, primary cultured mouse RPE cells, and different proliferative human embryonic stem cell (hESC)-RPE cells were used to evaluate the expression of (+)MITF, (-)MITF, and NEAT1 by reverse-transcription PCR (RT-PCR) or quantitative RT-PCR. NEAT1 was knocked down using specific small interfering RNAs (siRNAs). Splicing factor proline- and glutamine-rich (SFPQ) was overexpressed with the use of lentivirus infection. Cell proliferation was analyzed by cell number counting and Ki67 immunostaining. RNA immunoprecipitation (RIP) was used to analyze the co-binding between the SFPQ and MITF or NEAT1. Results: NEAT1 was highly expressed in proliferative RPE cells, which had low expression of (-)MITF. Knockdown of NEAT1 in RPE cells switched the MITF splicing pattern to produce higher levels of (-)MITF and inhibited cell proliferation. Mechanistically, NEAT1 recruited SFPQ to bind directly with MITF mRNA to regulate its alternative splicing. Overexpression of SFPQ in ARPE-19 cells enhanced the binding enrichment of SFPQ to MITF and increased the splicing efficiency of (+)MITF. The binding affinity between SFPQ and MITF was decreased after NEAT1 knockdown. Conclusions: NEAT1 acts as a scaffold to recruit SFPQ to MITF mRNA and promote its binding affinity, which plays an important role in regulating the alternative splicing of MITF and RPE cell proliferation.

A New Method for Syndrome Classification of Non-Small-Cell Lung Cancer Based on Data of Tongue and Pulse with Machine Learning.

OBJECTIVE: To explore the data characteristics of tongue and pulse of non-small-cell lung cancer with Qi deficiency syndrome and Yin deficiency syndrome, establish syndrome classification model based on data of tongue and pulse by using machine learning methods, and evaluate the feasibility of syndrome classification based on data of tongue and pulse. METHODS: We collected tongue and pulse of non-small-cell lung cancer patients with Qi deficiency syndrome (n = 163), patients with Yin deficiency syndrome (n = 174), and healthy controls (n = 185) using intelligent tongue diagnosis analysis instrument and pulse diagnosis analysis instrument, respectively. We described the characteristics and examined the correlation of data of tongue and pulse. Four machine learning methods, namely, random forest, logistic regression, support vector machine, and neural network, were used to establish the classification models based on symptom, tongue and pulse, and symptom and tongue and pulse, respectively. RESULTS: Significant difference indices of tongue diagnosis between Qi deficiency syndrome and Yin deficiency syndrome were TB-a, TB-S, TB-Cr, TC-a, TC-S, TC-Cr, perAll, and the tongue coating texture indices including TC-CON, TC-ASM, TC-MEAN, and TC-ENT. Significant difference indices of pulse diagnosis were t4 and t5. The classification performance of each model based on different datasets was as follows: tongue and pulse < symptom < symptom and tongue and pulse. The neural network model had a better classification performance for symptom and tongue and pulse datasets, with an area under the ROC curves and accuracy rate which were 0.9401 and 0.8806. CONCLUSIONS: It was feasible to use tongue data and pulse data as one of the objective diagnostic basis in Qi deficiency syndrome and Yin deficiency syndrome of non-small-cell lung cancer.

Application of computer tongue image analysis technology in the diagnosis of NAFLD.

Nonalcoholic fatty liver disease (NAFLD), a leading cause of chronic hepatic disease, can progress to liver fibrosis, cirrhosis, and hepatocellular carcinoma. Therefore, it is extremely important to explore early diagnosis and screening methods. In this study, we developed models based on computer tongue image analysis technology to observe the tongue characteristics of 1778 participants (831 cases of NAFLD and 947 cases of non-NAFLD). Combining quantitative tongue image features, basic information, and serological indexes, including the hepatic steatosis index (HSI) and fatty liver index (FLI), we utilized machine learning methods, including Logistic Regression, Support Vector Machine (SVM), Random Forest (RF), Gradient Boosting Decision Tree (GBDT), Adaptive Boosting Algorithm (AdaBoost), Naïve Bayes, and Neural Network for NAFLD diagnosis. The best fusion model for diagnosing NAFLD by Logistic Regression, which contained the tongue image parameters, waist circumference, BMI, GGT, TG, and ALT/AST, achieved an AUC of 0.897 (95% CI, 0.882-0.911), an accuracy of 81.70% with a sensitivity of 77.62% and a specificity of 85.22%; in addition, the positive likelihood ratio and negative likelihood ratio were 5.25 and 0.26, respectively. The application of computer intelligent tongue diagnosis technology can improve the accuracy of NAFLD diagnosis and may provide a convenient technical reference for the establishment of early screening methods for NAFLD, which is worth further research and verification.

Combination inhibition of triple-negative breast cancer cell growth with CD36 siRNA-loaded DNA nanoprism and genistein.

Currently, a single treatment is less effective for triple-negative breast cancer (TNBC) therapy. Additionally, there are some limitations to the use of siRNA alone as a new method to treat breast cancer, such as its effective delivery into cells. In this study, we proposed a strategy that combines a siRNA-loaded DNA nanostructure and genistein for TNBC therapy. Both CD36 siRNA-loaded self-assembled DNA nanoprisms (NP-siCD36) and genistein knocked down CD36, resulting in enhanced anticancer efficacy through phosphorylation of the p38 MAPK pathway.In vitrostudies showed that combination therapy could effectively enhance cell apoptosis and reduce cell proliferation, achieving an antitumor effect in TNBC cells. The current study suggests that NP-siCD36 combined with genistein might be a promising strategy for breast cancer and treatment.

ESIPT-based fluorescent probe for bioimaging and identification of group IIIA ions in live cells and zebrafish.

Aluminum (Al), gallium (Ga), indium (In) are three essential elements in group IIIA of the periodic table, which all share similar chemical properties and are also vital in many aspects of bio- and environmental systems. Proper control of their levels is thus necessary as overexposure to them has been linked to onsets of many diseases. Fluorescence based molecular probes have always been the driving horse for detecting vital ions including group IIIA ions. However, only a few such probes have been reported so far and all of them are faced with one or more shortcomings such as not very high sensitivity, incapability to detect multiple ions simultaneously, and poor cell penetration abilities due to emitted fluorescence at shorter wavelengths. To meet those challenges, we herein presented the successful development and application of a novel group IIIA ions fluorescent probe, NBD-hnap, in live RAW264.7 cell and zebrafish models, especially the imaging of ocular tumor cell OCM-1 (human choroid melanoma cells). NBD-hnap was synthesized by a simple conjugation of NBD and hnap molecules under suitable conditions. Subsequent experimental analysis and theoretical calculations confirmed that NBD-hnap forms a 1:1 chelate with each of three selected group IIIA ions. Further evaluation proved that NBD-hnap can realize highly sensitive [LODs of 113, 82 and 150 nM for Al(III), Ga(III), and In(III) respectively in aqueous solutions] and highly selective (over a dozen of interfering cations) through an ESIPT-based fluorescent sensing mechanism with strong far-red emission around 640 nm. Those value merits make NBD-hnap superior to other group IIIA ion probes reported before and NBD-hnap is thus expected to find wider and greater applications in the near future.

CD248+CD8+ T lymphocytes suppress pathological vascular remodeling in human thoracic aortic aneurysms.

Aortic aneurysms are characterized by vascular inflammation, neovascularization, and extracellular matrix destruction of the aortic wall. Although experimental studies indicate a potential role of CD248 in microvessel remodeling, the functions of CD248 in human vascular pathologies remain unexplored. Here we aimed to study how CD248 interferes with pathological vascular remodeling of human aortic aneurysms. Immunofluorescent staining showed that CD248 expression was mainly localized in the CD8+ T cells infiltrating in the adventitia and media of aortic walls of patients with ascending thoracic aortic aneurysms. qPCR and immunofluorescent staining analyses revealed increased aortic CD248 expression and infiltrating CD248+CD8+ T cells in aortic aneurysms than in nonaneurysmal aortas. Flow cytometry analysis of human peripheral blood further identified a fraction of circulating CD248+ cells which was confined in the CD8+ T-cell compartment. The increased infiltrating of CD248+CD8+ T cells was coincident with reduced circulating CD248+CD8+ T cells in patients with ascending TAA when compared with patients with coronary artery diseases and healthy donors. The CD248+CD8+ T cells were characterized by upregulated IL-10 and downregulated IL-1ß/INF-γ expression when compared with CD248-CD8+ T cells. Moreover, when co-cultured with human aortic endothelial cells, the CD248+CD8+ T cells not only downregulated endothelial expression of ICAM1/VCAM1 and MMP2/3 but also suppressed endothelial migration. This study shows that CD248 reduces pathological vascular remodeling via anti-inflammatory CD248+CD8+ T cells, revealing a CD248-mediated cellular mechanism against human aortic aneurysms.

CA-PROM: Validation of a general patient-reported outcomes measure for Chinese patients with cancer.

BACKGROUND: Based the important role of patient-reported outcome in measuring patients' QoL, a general PRO instrument was designed for Chinese patients with cancer. METHODS: The instrument was administered in eight hospitals. Based on PRO guidelines, a conceptual framework and item pool were generated after literature review and patients' interviews. Via two-item selection process, the original version of a cancer PRO measure (CA-PROM) was generated. Patients' responsiveness was evaluated in four disease systems by item response theory. The reliability, validity, and feasibility of CA-PROM were assessed. The minimum clinically important differences (MCIDs) and risk thresholds of PRO were calculated. RESULTS: A total of 2213 valid questionnaires were collected. After expert opinions and cognitive tests, 11 items were deleted. In the pre-survey and formal survey, 19 items were deleted based on six methods of classical test theory. In the respiratory, digestive, hematological, and endocrine systems, four items with poor responsiveness were deleted by item response theory. The final CA-PROM included four domains, 13 subdomains, and 49 items. Reliability coefficients of 13 subdomain was > 0.7. The framework of CA-PROM met required criteria by CFA and OBID. The average response time was 14.2 min, indicating feasibility of CA-PROM. The MCIDs were 5.63, 3.42, 4.16 in the physiological, psychological, social domain, respectively. The risk thresholds of PRO for six subdomains were 71.74, 71.28, 66.29, 65.16, 59.56, 66.60, in that order. CONCLUSION: The developed CA-PROM exhibited good reliability, validity, and feasibility, and can be used as an effective evaluation tool in cancer patients.

GC-PROM: validation of a patient-reported outcomes measure for Chinese patients with gastric cancer.

BACKGROUND: There is increasing recognition that PROs are important in the estimation of the burden of long-term survival among patients with gastric cancer. The study aimed to develop a disease-specific instrument to assess patient-reported outcomes for Chinese patients with gastric cancer. METHOD: Following the FDA's draft guidance for patient-reported outcome, conceptual framework and item pool were defined based on relevant existing work. A draft scale was formed after revising some items based on feedback from experts and Chinese patients with gastric cancer. The pre-survey and formal survey were conducted in eight different hospitals in Shanxi Province, and two item-selection process based on classical test theory and item response theory. Finally, the patient-reported outcomes measure for Chinese patients with gastric cancer (GC-PROM) was validated in terms of reliability, validity, and feasibility. The minimal clinically important difference was determined by distribution-based method. RESULTS: The final GC-PROM consisted of 38 items, 13 subdomains, and 4 domains. Reliability was verified by Cronbach's alpha coefficient for four domains and 13 subdomains respectively. The validity results showed that the multidimensional scale fulfilled expectations. In the formal survey, the completion rate was 96.16%, and the average filling time was less than half an hour. The values of the minimal clinically important difference were 4.14, 3.41, 3.37, and 3.28 in the four domains. CONCLUSIONS: The GC-PROM had good reliability, validity, and feasibility and thus can be considered an effective clinical evaluation instrument for Chinese patients with gastric cancer.

Tongue color clustering and visual application based on 2D information.

PURPOSE: Studies have shown the association between tongue color and diseases. To help clinicians make more objective and accurate decisions quickly, we take unsupervised learning to deal with the basic clustering of tongue color in a 2D way. METHODS: A total of 595 typical tongue images were analyzed. The 3D information extracted from the image was transformed into 2D information by principal component analysis (PCA). K-Means was applied for clustering into four diagnostic groups. The results were evaluated by clustering accuracy (CA), Jaccard similarity coefficient (JSC), and adjusted rand index (ARI). RESULTS: The new 2D information totally retained 89.63% original information in the L*a*b* color space. And our methods successfully classified tongue images into four clusters and the CA, ARI, and JSC were 89.04%, 0.721, and 0.890, respectively. CONCLUSIONS: The 2D information of tongue color can be used for clustering and to improve the visualization. K-Means combined with PCA could be used for tongue color classification and diagnosis. Methods in the paper might provide reference for the other research based on image diagnosis technology.

Individual factors define the overall effects of dietary genistein exposure on breast cancer patients.

As an endocrine disruptor, tyrosine kinase inhibitor, and DNA methyltransferase inhibitor, genistein can interfere with breast cancer development. However, as the results of numerous studies are contradictory, it is unclear whether genistein plays a positive or negative role. Retrospective epidemiological studies have indicated that high genistein intake is related to reduced breast cancer risk, but this protective effect has not been reported in clinical trials. Additionally, rodent and cellular studies show that genistein promoted breast cancer progression. Obviously, genistein's bioactivities do not solely depend upon the dose, and simply discussing the overall effects of genistein without considering individual factors is unrealistic. The purpose of this review was to collect relevant studies (over 164) on genistein and breast cancer that were published on PubMed from 1984 to 2019 and to summarize the impact of key individual factors on the bioactivities of genistein in breast cancer prevention and treatment. Furthermore, the related potential molecular mechanisms were explored to explain the contradictions in genistein-breast cancer studies. Our results showed that the intake mode and metabolic characteristics of genistein, as well as the menopausal status, estrogen receptor expression pattern, and gene mutations of the patient, are important factors that should be included when discussing the bioactivities of genistein. A better understanding of the influence of individual factors may enable the precise prediction of personalized responses to dietary genistein exposure. Given that the current information on genistein is mostly restricted to the cellular level, more comprehensive human studies should be performed to clarify the relationship between genistein and breast cancer.

ERß modulates genistein's cisplatin-enhancing activities in breast cancer MDA-MB-231 cells via P53-independent pathway.

As one of the typical food-derived phytoestrogens, genistein (GEN) could bind to estrogen receptor (ER) and was reported to be closely related to breast cancer. Our former research showed that GEN interfered with the anti-tumor effects of cisplatin (CIS) in breast cancer MCF-7 (ERα+/ERß-) cells. However, it is not clear whether ER expression pattern affects GEN's modulation on CIS's activity. In the present study, breast cancer ERß knockdown (ERßKD) MDA-MB-231 (ERα-/ERß+) cell model was established via ERß RNAi lentivirus infection. The role of ERß expression in GEN's bioeffects on cells' response to CIS was investigated and was further double-checked by pathway-specific inhibitor PHTPP. Consistent results were harvested through cell viability analysis, cell cycle distribution flow cytometry, TUNEL staining, and expression detection of key biomarkers, Bax, Bcl-2, P21, P53, and cleaved caspase-3. Compared with the control group, PHTPP-treated or ERßKD cells exhibited higher sensitivity to both GEN and CIS treatment. GEN and CIS showed synergistic effects only in ERß-deficient cells. This effect mainly resulted in G2 phase arresting and apoptosis induction with the upregulation of P21 and Bax/Bcl-2 protein level. Besides, P53 expression was strikingly suppressed in ERß-deficient cells. This indicated ERß pathway deficiency might enhance GEN-CIS bioactivity via the downregulation of P53. In summary, our data imply that daily intake of GEN-rich diet could collaborate with CIS anti-tumor treatment in ERα-/ERß- breast cancer cases. ERß pathway might be one of the potential targets which elicit GEN's positive effects in ERα- breast cancer patients.

A study on role and mechanism of TLR4/NF-κB pathway in cognitive impairment induced by cerebral small vascular disease.

OBJECTIVE: To investigate the role and potential mechanism of Toll-like receptor 4 (TLR4)/nuclear factor-kappa B (NF-κB) signaling pathway in cognitive impairment induced by cerebral small vascular disease (CSVD), so as to provide a reference for the clinical treatment of CSVD-induced cognitive impairment. METHODS: Mice with TLR4 gene knockout (n = 20) and those with wild-type TLR4 gene (n = 40) aged 8-10 weeks old were divided into blank control group (Control group, n = 20), wild-type + CSVD group (WT + CSVD group, n = 20) and TLR4 gene knockout + CSVD group (TLR4 KO + CSVD group, n = 20). Allogeneic thrombosis (particle diameter: 50-70 mm) was injected to the mouse's external carotid artery to create a model of learning and memory dysfunction. Step-down test and Y-type maze test were utilized to examine the learning and memory abilities of the mice. Reverse transcription-polymerase chain reaction (RT-PCR) and immunoblotting techniques were adopted to measure the levels of apoptosis-related genes [B-cell lymphoma/leukemia-2 (Bcl-2), Bcl-2-associated X protein (Bax), C-caspase-3 and T-caspase-3] in the brain tissues of mice. Terminal dexynucleotidyl transferase (TdT)-mediated dUTP nick end labeling (TUNEL) method was applied to detect the apoptosis of neuronal cells in the brain tissues. Meanwhile, the levels of oxidative stress markers, including superoxide dismutase (SOD), gp91 and malondialdehyde (MDA), were measured. Finally, the expression level of TLR4/NF-κB pathway was detected. RESULTS: The latency in the step-down test in the WT + CSVD group was remarkably longer than that in the Control group, and the number of errors was evidently larger than that in the Control group (p < 0.05). At the same time, in the WT + CSVD group, the expression levels of pro-apoptotic genes Bax and C-caspase-3 were up-regulated markedly, while the expression level of anti-apoptotic gene Bcl-2 declined notably (p < 0.05). TUNEL results showed that the number of apoptotic cells in the brain tissues in the WT + CSVD group was about 12 times that in the Control group (p < 0.05). Meanwhile, the SOD expression level was lowered, and the MDA expression level was elevated in the brain tissues in the WT + CSVD group. In addition, the TLR4/NF-κB pathway was prominently activated in the mice in the WT + CSVD group (p < 0.05). After TLR4 gene knockout, the cognitive functions of the mice were improved markedly, and the apoptosis of neuronal cells and oxidative stress in the brain tissues were suppressed significantly in the meantime. Moreover, the activation of the TLR4/NF-κB signaling pathway was also inhibited. CONCLUSION: The TLR4/NF-κB pathway is involved in the occurrence and development of CSVD-induced cognitive impairment through regulating oxidative stress and cell apoptosis.