The Huangdi Neijing proposes the " using bitter herbs to nourish or purge" theory to guide clinical prescription and formulation of herbal remedies based on the physiological characteristics and functions of the five zang viscera, along with the properties and flavors of medicinal herbs. This study explored diabetic kidney disease pathogenesis and treatment based on the " using bitter herbs to nourish or purge" theory. Kidney dryness is a key pathological factor in diabetic kidney disease, and the disharmony of kidney dryness is an essential aspect of its pathogenesis. Strengthening is the primary therapeutic principle, and kidney dryness is a persistent factor throughout the occurrence and progression of diabetic kidney disease. In the early stage, the pathogenesis involves heat-consuming qi and injuring yin, leading to kidney dryness. In the middle stage, the pathogenesis manifests as qi deficiency and blood stasis in the collaterals, resulting in turbidity owing to kidney dryness. In the late stage, the pathogenesis involves yin and yang deficiency, with kidney dryness and disharmony. This study proposes the staging-based treatment based on the " need for firmness" characteristic of the kidney. The aim is to provide new insights for clinical diagnosis and treatment in traditional Chinese medicine by rationally using pungent, bitter, and salty medicinal herbs to nourish and moisturize the kidney. This approach seeks to promote precise syndrome differentiation and personalized treatment for different stages of diabetic kidney disease, thereby enhancing clinical efficacy.

ObjectivePrimary liver cancer, predominantly hepatocellular carcinoma (HCC), is a significant global health issue, ranking as the sixth most diagnosed cancer and the third leading cause of cancer-related mortality. Accurate and early diagnosis of HCC is crucial for effective treatment, as HCC and non-HCC malignancies like intrahepatic cholangiocarcinoma (ICC) exhibit different prognoses and treatment responses. Traditional diagnostic methods, including liver biopsy and contrast-enhanced ultrasound (CEUS), face limitations in applicability and objectivity. The primary objective of this study was to develop an advanced, light-weighted classification network capable of distinguishing HCC from other non-HCC malignancies by leveraging the automatic analysis of brightness changes in CEUS images. The ultimate goal was to create a user-friendly and cost-efficient computer-aided diagnostic tool that could assist radiologists in making more accurate and efficient clinical decisions. MethodsThis retrospective study encompassed a total of 161 patients, comprising 131 diagnosed with HCC and 30 with non-HCC malignancies. To achieve accurate tumor detection, the YOLOX network was employed to identify the region of interest (ROI) on both B-mode ultrasound and CEUS images. A custom-developed algorithm was then utilized to extract brightness change curves from the tumor and adjacent liver parenchyma regions within the CEUS images. These curves provided critical data for the subsequent analysis and classification process. To analyze the extracted brightness change curves and classify the malignancies, we developed and compared several models. These included one-dimensional convolutional neural networks (1D-ResNet, 1D-ConvNeXt, and 1D-CNN), as well as traditional machine-learning methods such as support vector machine (SVM), ensemble learning (EL), k-nearest neighbor (KNN), and decision tree (DT). The diagnostic performance of each method in distinguishing HCC from non-HCC malignancies was rigorously evaluated using four key metrics: area under the receiver operating characteristic (AUC), accuracy (ACC), sensitivity (SE), and specificity (SP). ResultsThe evaluation of the machine-learning methods revealed AUC values of 0.70 for SVM, 0.56 for ensemble learning, 0.63 for KNN, and 0.72 for the decision tree. These results indicated moderate to fair performance in classifying the malignancies based on the brightness change curves. In contrast, the deep learning models demonstrated significantly higher AUCs, with 1D-ResNet achieving an AUC of 0.72, 1D-ConvNeXt reaching 0.82, and 1D-CNN obtaining the highest AUC of 0.84. Moreover, under the five-fold cross-validation scheme, the 1D-CNN model outperformed other models in both accuracy and specificity. Specifically, it achieved accuracy improvements of 3.8% to 10.0% and specificity enhancements of 6.6% to 43.3% over competing approaches. The superior performance of the 1D-CNN model highlighted its potential as a powerful tool for accurate classification. ConclusionThe 1D-CNN model proved to be the most effective in differentiating HCC from non-HCC malignancies, surpassing both traditional machine-learning methods and other deep learning models. This study successfully developed a user-friendly and cost-efficient computer-aided diagnostic solution that would significantly enhances radiologists’ diagnostic capabilities. By improving the accuracy and efficiency of clinical decision-making, this tool has the potential to positively impact patient care and outcomes. Future work may focus on further refining the model and exploring its integration with multimodal ultrasound data to maximize its accuracy and applicability.

italic>Lamiophlomis rotata is an important medicinal plant species endemic to the Tibetan Plateau, which is prone to strong climate change impacts on its habitable range due to the high sensitivity of the Tibetan Plateau to climate change. Accurate quantification of species vulnerability to climate change is essential for assessing species extinction risk and developing effective conservation strategies. Therefore, we carried out the α-shape analysis to determine the habitat of L. rotata. We then carried out the climate-niche factor analysis (CNFA) to assess the vulnerability of L. rotata to climate change based on five climate variables (i.e., mean diurnal range, temperature seasonality, mean temperature of warmest quarter, precipitation of driest month and precipitation of warmest quarter) in the context of two shared socioeconomic pathways (i.e., SSP126 and SSP585) and three global climate models (CMCC-ESM2: Centro Euro-Mediterraneo sui Cambiamenti Climatici-Earth System Model version 2; HadGEM3-GC31-LL: Hadley Global Environment Model version 3-Global Coupled configuration 3.1; IPSL-CM6A-LR: Institut Pierre Simon Laplace-Climate Model version 6) during two different periods (2041-2060 and 2081-2100). The vulnerability of L. rotata to climate change was calculated by integrating the sensitivity and exposure indices of L. rotata to five climate variables. The results showed that L. rotata had the highest vulnerability to the precipitation of warmest quarter. Its vulnerability within its habitat range generally showed a spatial pattern of high value in the southern region and low in the northern region, high in the western region and low in the eastern region. In general, the vulnerability of L. rotata under the SSP585 scenario was higher than that under the SSP126 scenario. The climate data of different global climate models have some influence on the results, while the resulted uncertainty can be reduced by data integration methods. As a result of climate change, the pressure on the survival of L. rotata in the future will be intensified in the low-altitude areas such as the Yarlung Zangbo River, Yigongzangbu River, Zayu River, and Jiaomuzu River, etc., while the highly weathered scree flats or stony alpine meadows in the high-altitude zones, such as the eastern Tanggula Mountain Range, the northern part of Hengduan Mountain Range, and the western part of the Qinling Mountains, may become its refuge. It is necessary to focus on and strengthen the protection and management of L. rotata resources in these vulnerble and critical areas.

Objective To explore the efficacy and safety of recombinant human anti-severe acute respiratory syn-drome coronavirus 2(anti-SARS-CoV-2)monoclonal antibody injection(F61 injection)in the treatment of patients with coronavirus disease 2019(COVID-19)combined with renal damage.Methods Patients with COVID-19 and renal damage who visited the PLA General Hospital from January to February 2023 were selected.Subjects were randomly divided into two groups.Control group was treated with conventional anti-COVID-19 therapy,while trial group was treated with conventional anti-COVID-19 therapy combined with F61 injection.A 15-day follow-up was conducted after drug administration.Clinical symptoms,laboratory tests,electrocardiogram,and chest CT of pa-tients were performed to analyze the efficacy and safety of F61 injection.Results Twelve subjects(7 in trial group and 5 in control group)were included in study.Neither group had any clinical progression or death cases.The ave-rage time for negative conversion of nucleic acid of SARS-CoV-2 in control group and trial group were 3.2 days and 1.57 days(P=0.046),respectively.The scores of COVID-19 related target symptom in the trial group on the 3rd and 5th day after medication were both lower than those of the control group(both P＜0.05).According to the clinical staging and World Health Organization 10-point graded disease progression scale,both groups of subjects improved but didn't show statistical differences(P＞0.05).For safety,trial group didn't present any infusion-re-lated adverse event.Subjects in both groups demonstrated varying degrees of elevated blood glucose,elevated urine glucose,elevated urobilinogen,positive urine casts,and cardiac arrhythmia,but the differences were not statistica-lly significant(all P＞0.05).Conclusion F61 injection has initially demonstrated safety and clinical benefit in trea-ting patients with COVID-19 combined with renal damage.As the domestically produced drug,it has good clinical accessibility and may provide more options for clinical practice.

Objective To investigate the implementation of surveillance,prevention and control measures for healthcare-associated infection(HAI)in maternal and child healthcare(MCH)institutions,and provide policy evi-dence for optimizing HAI prevention and control in MCH institutions.Methods Stratified sampling was conducted among the MCH institutions at provincial,municipal and county levels in 8 provinces/autonomous regions.A uni-fied questionnaire was designed and the online survey was conducted through"Questionnaire Star".Results The data from 123 MCH institutions were included in the analysis.90.24％of the MCH institutions carried out compre-hensive surveillance on HAI.The ratios of MCH institutions which implemented targeted surveillance on HAI in neonatal intensive care unit(NICU),surgical site infection,multidrug-resistant organisms(MDROs)and HAI in intensive care units(non-NICU excluded)were 89.66％,85.96％,80.77％,and 74.19％,respectively.51.22％MCH institutions adopted information surveillance system on HAI cases.94.31％MCH institutions carried out surveillance on hand hygiene compliance.Over 90％MCH institutions carried out surveillance on environment hy-giene in high-risk departments.71.54％MCH institutions conducted centralized cleaning,disinfection,sterilization and supply for reusable medical instruments in the central sterile supply department(CSSD).Over 90％MCH insti-tutions established three-level pre-examination triage systems.86.18％set up transitional wards.MCH institutions generally adopted a management model with established effective communication,full appointment visits,and sepa-rate visits for special medical groups,such as registered pregnant women,high-risk newborns,healthcare groups,and long-term rehabilitation patients.However,the ratio of institutions conducting on-line follow-up visits was less than 50％.Conclusion MCH institutions have generally carried out comprehensive and targeted surveillance on HAI.Information surveillance need to be facilitated.Hand hygiene and environmental hygiene surveillance has been popularized to a certain extent at all levels of MCH institutions.The cleaning,disinfection,sterilization,and supply processes of reusable medical devices in a few MCH institutions are not standardized.Special medical populations get effective management.On-line healthcare is to be further promoted.

Objective To compare the value of 7 different thyroid imaging reporting and data systems(TI-RADS)for differentiating benign and malignant thyroid nodules under the context of Hashimoto thyroiditis(HT).Methods A total of 338 thyroid nodules in 200 HT patients were enrolled,including 167 benign and 171 malignant ones.Kwak-TIRADS,American Thyroid Association(ATA)guideline,American Association of Clinical Endocrinologists(A ACE)/American College of Endocrinology(ACE)/Associazione Medici Endocrinologi(AME)guideline,K-TIRADS of Korean Society of Thyroid Radiology,EU-TIRADS of European Thyroid Association,American College of Radiology(ACR)-TIRADS and 2020 Chinese guidelines for malignant risk stratification of thyroid nodules by ultrasound proposed by the superficial organs and vessels group of the ultrasound medicine branch of the Chinese Medical Association(C-TIRADS)were used for grading of benign and malignant thyroid nodules.Taken pathological results as gold standards,the diagnostic efficacy of 7 kinds of TI-RADS were analyzed.Results The sensitivity of Kwak-TIRADS,ATA guideline,A ACE/ACE/AME guideline,K-TIRADS,EU-TIRADS,ACR-TIRADS and C-TIRADS for differentiating benign and malignant thyroid nodules under the context of HT was 97.08％,98.25％,99.42％,95.91％,99.42％,90.06％and 99.42％,respectively,the specificity was 88.02％,83.23％,82.04％,88.02％,82.04％,86.83％and 84.43％,respectively,and the area under the curve(AUC)was 0.946,0.913,0.907,0.934,0.909,0.916 and 0.960,respectively.The sensitivity of C-TIRADS,EU-TIRADS and A ACE/ACE/AME guideline were all higher than that of K-TIRADS and ACR-TIRADS(all P＜0.05),and the specificity of Kawk-TIRADS and K-TIRADS were both higher than that of C-TIRADS,ATA guideline,EU-TIRADS and AACE/ACE/AME guideline(all P＜0.05),while AUC of C-TIRADS and Kawk-TIRADS were both higher than that of the rest 5 kinds of TI-RADS(all P＜0.05).According to Kwak-TIRADS,ATA guideline,AACE/ACE/AME guideline,K-TIRADS,EU-TIRADS,ACR-TIRADS and C-TIRADS,the malignant rate of different grades nodules identified with the same TI-RADS were significant different(all P＜0.05),which all raised with the increase of TI-RADS grade.Conclusion C-TIRADS and Kawk-TIRADS had better value for differentiating benign and malignant thyroid nodules under the context of HT,among which C-TIRADS had higher sensitivity and Kawk-TIRADS had higher specificity.

Ovarian cancer is one of the most common gynecologic cancers in the world.Over the past few decades,there has been considerable research reporting on the mechanisms of cancer development and progression,with multiple nerve as well as neurotransmitters involved.Nerve innervation is also found in ovarian cancer.And in ovarian cancer,various nerves and neurotransmitters play different roles.They are involved in ovarian cancer cells'proliferation metastasis,apoptosis and changes in the tumor microenvironment.Further understanding of the role of these nerve endings in the development of ovarian cancer is essential for understanding the mechanisms of cancer progression.This will be important for subsequent research focusing on tumor regulation.While glucocorticoids and sympathetic nerve-released norepinephrine are able to promote ovarian cancer progression,serotonin may inhibit cancer cell growth.Also,parasympathetic and sensory nerves are capable of having either a positive or negative effect on ovarian tumors.These relevant studies offer the possibility of new therapeutic options for oncology,it may be possible to mitigate the progression of cancer with inexpensive receptor inhibitors or agonists.This will facilitate the subsequent exploration of therapeutic possibilities forovarian cancer and other cancer-related treatments.In this review,we also present some insights into the role of the nervous system in the regulation of ovarian cancer,which we hope will provide new insights into the innervation and progression of ovarian cancer.

Objective To evaluate the in vitro effect of combinations of 5 β-lactam antibiotics with different β-lac-tamase inhibitors on the activity of multidrug-resistant Mycobacterium tuberculosis(MDR-TB),and identify the most effective combination of β-lactam antibiotics and β-lactamase inhibitors against MDR-TB.Methods MDR-TB strains collected in Henan Province Antimicrobial Resistance Surveillance Project in 2021 were selected.The mini-mum inhibitory concentrations(MIC)of 5 β-lactam antibiotics or combinations with different β-lactamase inhibitors on clinically isolated MDR-TB strains were measured by MIC detection method,and the blaC mutation of the strains was analyzed by polymerase chain reaction(PCR)and DNA sequencing.Results A total of 105 strains of MDR-TB were included in the analysis.MIC detection results showed that doripenem had the highest antibacterial activity against MDR-TB,with a MIC50 of 16 μg/mL.MIC values of most β-lactam antibiotics decreased significantly after combined with β-lactamase inhibitors.A total of 13.33％(n=14)strains had mutations in blaC gene,mainly 3 nu-cleotide substitution mutations,namely AGT333AGG,AAC638ACC and ATC786ATT.BlaC proteins Ser111 Arg and Asn213Thr enhanced the synergistic effect of clavulanic acid/sulbactam and meropenem on MDR-TB compared with synonymous single-nucleotide mutation.Conclusion The combination of doripenem and sulbactam has the strongest antibacterial activity against MDR-TB.Substitution mutations of BlaC protein Ser111 Arg and Asn213Thr enhances the sensitivity of MDR-TB to meropenem through the synergy with clavulanic acid/sulbactam.

Aim To observe the effects of Compound Dihuang Granules on α-syn,VAPB and PTPIP51 in the substantia nigra of Parkinson's disease(PD)rats with Yin deficiency and wind syndrome,and to explore the possible mechanisms of their actions.Methods The 6-hydroxydopamine-induced PD model of rats was constructed.The model rats were randomly divided into the model group,madopar group,CLD group,CMD group and CHD group,while the NC group did not re-ceive any treatment and the SO group was injected with ascorbic acid,with 13 rats in each group.The neurobe-havioral changes of the rats were observed,and the ex-pressions of α-syn,VAPB and PTPIP51 in the sub-stantia nigra were detected by Western blot,RT-PCR and Immunohistochemistry;the histopathological and morphological changes of the substantia nigra tissue were observed by HE staining,the changes of mito-chondrial ultrastructure in the substantia nigra cells were observed by transmission electron microscopy,and the changes of ATP content in substantia nigra tis-sue in each group were detected by ELISA.Results Compared with the NC and SO groups,rats in the model group showed that the number of rotational cir-cles and pole-climbing time increased,the expression of α-syn increased,the expression of VAPB and PTPIP 5 1 decreased,the number of neuronal cells decreased,the neuronal cells became crumpling,and mitochondrial swelling,disappearance of the mitochon-drial cristae,a larger distance between the ER-mito-chondrial contacts were observed;the ATP content de-creased.Compared with the model group,rats in Mado-par group and CLD group,CMD group and CHD group showed that the number of rotational circles and pole-climbing time decreased,the expression of α-syn de-creased,the expression of VAPB and PTPIP51 in-creased,the degree of neuronal damage was reduced,the morphology of mitochondria was improved and the content of ATP increased,showing the change of the difference in quantitative efficacy;the relative efficacy of Madopar group and CHD group was better,and there was no statistically significant difference.Con-clusions Compound Dihuang granules attenuate the behavioral symptoms in PD rats and may play a thera-peutic role in PD by down-regulating the expression ofα-syn,up-regulating the expression of PTPIP51 and VAPB and improving mitochondrial function.

Objective To observe the correlations of clinical,multi-modal ultrasonic and pathological features of papillary thyroid carcinoma(PTC)with BRAF V600E mutation.Methods Patients with clinically suspected malignant thyroid lesions were prospectively collected.After the results of pathology and gene test were obtained,PTC patients were divided into BRAF V600E mutation(+)(mutant group)and BRAF V600E mutation(-)(wild-type group)according to BRAF V600E gene test.Univariate analysis and multivariate logistic regression were used to compare clinical,conventional ultrasound,contrast-enhanced ultrasound(CEUS)and pathological manifestations between groups,so as to screen the independent risk factors of PTC BRAF V600E gene mutation.Results A total of 116 PTC patients(116 lesions)were enrolled,including 77 in mutant group and 39 in wild-type group.Statistical differences of thyroid peroxidase antibody(TPO-Ab)level,lesion size,orientation,margin and microcalcification observed on conventional ultrasound,changes of lesion size and the mean transit time(MTT)shown on CEUS,as well as of extramembranous invasion,cervical central lymph node metastasis,complicated with benign nodules shown by pathology were found between groups(all P＜0.05).TPO-Ab level,lesion orientation and changes of lesion size after enhancement shown by multi-modal ultrasound,and pathological cervical central lymph node metastasis were all independent predictive factors for PTC BRAF V600E gene mutation(OR=0.175,3.868,5.769,6.943,all P＜0.05).Conclusion Patients'TPO-Ab level,lesion orientation,changes of lesion size after enhancement shown by multi-modal ultrasound and pathological cervical central lymph node metastasis were all independently associated with PTC BRAF V600E gene mutation.