Chronic prostatitis/chronic pelvic pain syndrome (CP/CPPS) is a complex disease that is often accompanied by mental health disorders. However, the potential mechanisms underlying the heterogeneous clinical presentation of CP/CPPS remain uncertain. This study analyzed widely targeted metabolomic data of expressed prostatic secretions (EPS) and plasma to reveal the underlying pathological mechanisms of CP/CPPS. A total of 24 CP/CPPS patients from The Second Nanning People's Hospital (Nanning, China), and 35 asymptomatic control individuals from First Affiliated Hospital of Guangxi Medical University (Nanning, China) were enrolled. The indicators related to CP/CPPS and psychiatric symptoms were recorded. Differential analysis, coexpression network analysis, and correlation analysis were performed to identify metabolites that were specifically altered in patients and associated with various phenotypes of CP/CPPS. The crucial links between EPS and plasma were further investigated. The metabolomic data of EPS from CP/CPPS patients were significantly different from those from control individuals. Pathway analysis revealed dysregulation of amino acid metabolism, lipid metabolism, and the citrate cycle in EPS. The tryptophan metabolic pathway was found to be the most significantly altered pathway associated with distinct CP/CPPS phenotypes. Moreover, the dysregulation of tryptophan and tyrosine metabolism and elevation of oxidative stress-related metabolites in plasma were found to effectively elucidate the development of depression in CP/CPPS. Overall, metabolomic alterations in the EPS and plasma of patients were primarily associated with oxidative damage, energy metabolism abnormalities, neurological impairment, and immune dysregulation. These alterations may be associated with chronic pain, voiding symptoms, reduced fertility, and depression in CP/CPPS. This study provides a local-global perspective for understanding the pathological mechanisms of CP/CPPS and offers potential diagnostic and therapeutic targets.
Humans ; Male ; Prostatitis/blood* ; Adult ; Pelvic Pain/blood* ; Metabolomics ; Prostate/metabolism* ; Middle Aged ; Chronic Pain/blood* ; Metabolome ; Case-Control Studies ; Tryptophan/blood* ; Depression/blood* ; Oxidative Stress/physiology* ; Chronic Disease ; Lipid Metabolism/physiology*

AIM To optimize the processing technology of red Notoginseng Radix et Rhizoma and evaluate its blood tonifying activity.METHODS On the basis of a single factor experiment,with steaming temperature,steaming time,drying temperature,and drying time as influencing factors,the total contents of notoginsenoside R1,ginsenoside Rg1,Rb1,Rk3,Rh4,and 20(R)-ginsenoside Rg3 as evaluation indicators,Box-Behnken response surface method ology was used to optimize the processing technology.Upon the anemic mouse models jointly induced by 1-acetyl-2-phenylhydrazine(APH)and cyclophosphamide(CTX),the investigation of the blood tonifying activity of red Notoginseng Radix et Rhizoma was carried out in contrast to that of the steamed Notoginseng Radix et Rhizoma.RESULTS The optimal conditions,contributing saponin content of 8.326%and RSD of 0.087%,were determined as follows:steaming temperature of 130℃,steaming time of 4 hours,drying temperature of 60℃,and drying time of 48 h.The pharmacological activity revealed that the different processing techniques were responsible for the different blood enriching activity of notoginseng,with red Notoginseng Radix et Rhizoma displaying a better efficacy than that of steamed Notoginseng Radix et Rhizoma.CONCLUSION This stable and feasible method can be used to control the production of red Notoginseng Radix et Rhizoma.

Objective To explore the correction of beam trajectories in the presence of fringe fields in magnetic resonance imaging-guided proton therapy and dose changes in the body before and after correction.Methods The open-source treatment planning software matRad was used to design plans for brain tumor,liver tumor,and prostate cancer cases,and simulation studies were conducted in the Monte Carlo simulation toolkit TOPAS to calculate proton dose distribution.A proton beam trajectory correction model suitable for three-dimensional magnetic fields was established,and a beam trajectory correction algorithm was developed.The deflection of the proton Bragg peak in the presence of fringe fields was analyzed.Furthermore,3 treatment plans were simulated and dose correction was carried out when the fringe field existed.Gamma analysis method is used to evaluate the correction effect;and the dose changes in the target area and organs-at-risk after correction were quantitatively analyzed.Results The perturbation of the magnetic field would cause lateral deflection of the proton beam trajectory,and the presence of fringe fields would significantly increase this effect,which increased with the increasing of beam energy.When the fringe field existed,the treatment plans for brain tumor,liver tumor,and prostate cancer were corrected.Under the 3%/3 mm criterion,the gamma passing rates for target area were 94.844%,92.054%,and 97.863%,respectively,and after correction,the total dose in the body was increased by 2.8%,2.5%,and 1.5%,respectively.The increased dose was mainly contributed by incident protons.Conclusion In magnetic resonance imaging-guided proton therapy,the effects of fringe fields should be considered.The increase in incident proton beam energy after correction will lead to an increase in the total dose in the body.Since the beam trajectory still has curvature,the dose changes differently in different organs-at-risk.

Background/Aims: Despite the high efficacy of direct-acting antivirals (DAAs), approximately 1–3% of hepatitis C virus (HCV) patients fail to achieve a sustained virological response. We conducted a nationwide study to investigate risk factors associated with DAA treatment failure. Machine-learning algorithms have been applied to discriminate subjects who may fail to respond to DAA therapy. Methods: We analyzed the Taiwan HCV Registry Program database to explore predictors of DAA failure in HCV patients. Fifty-five host and virological features were assessed using multivariate logistic regression, decision tree, random forest, eXtreme Gradient Boosting (XGBoost), and artificial neural network. The primary outcome was undetectable HCV RNA at 12 weeks after the end of treatment. Results: The training (n=23,955) and validation (n=10,346) datasets had similar baseline demographics, with an overall DAA failure rate of 1.6% (n=538). Multivariate logistic regression analysis revealed that liver cirrhosis, hepatocellular carcinoma, poor DAA adherence, and higher hemoglobin A1c were significantly associated with virological failure. XGBoost outperformed the other algorithms and logistic regression models, with an area under the receiver operating characteristic curve of 1.000 in the training dataset and 0.803 in the validation dataset. The top five predictors of treatment failure were HCV RNA, body mass index, α-fetoprotein, platelets, and FIB-4 index. The accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the XGBoost model (cutoff value=0.5) were 99.5%, 69.7%, 99.9%, 97.4%, and 99.5%, respectively, for the entire dataset. Conclusions Machine learning algorithms effectively provide risk stratification for DAA failure and additional information on the factors associated with DAA failure.

As artificial intelligence technology rapidly advances, its deployment within the medical sector presents substantial ethical challenges. Consequently, it becomes crucial to create a standardized, transparent, and secure framework for processing medical data. This includes setting the ethical boundaries for medical artificial intelligence and safeguarding both patient rights and data integrity. This consensus governs every facet of medical data handling through artificial intelligence, encompassing data gathering, processing, storage, transmission, utilization, and sharing. Its purpose is to ensure the management of medical data adheres to ethical standards and legal requirements, while safeguarding patient privacy and data security. Concurrently, the principles of compliance with the law, patient privacy respect, patient interest protection, and safety and reliability are underscored. Key issues such as informed consent, data usage, intellectual property protection, conflict of interest, and benefit sharing are examined in depth. The enactment of this expert consensus is intended to foster the profound integration and sustainable advancement of artificial intelligence within the medical domain, while simultaneously ensuring that artificial intelligence adheres strictly to the relevant ethical norms and legal frameworks during the processing of medical data.
Artificial Intelligence/legislation & jurisprudence* ; Humans ; Consensus ; Computer Security/standards* ; Confidentiality/ethics* ; Informed Consent/ethics*

Acute lung injury ( ALI) and its most extreme form a-cute respiratory distress syndrome ( ARDS) are lung diseases with high morbidity and mortality. There is no effective therapeutic intervention until now for its complicated pathophysiologi-cal processes and sophisticated regulatory mechanism. Histone deacetylases (HDACs) are a family of proteins with deacetylase activity. Studies have shown that HDACs are involved in the pathophysiological processes of ALI/ARDS, including inflammatory responses,endothelial permeability,oxidative stresses,alveolar fluid clearance and lung tissue repairment. Simultaneously, the use of HDACs inhibitors (HDACIs) can interfere with ALI/ ARDS progression. In this review we describe and summarize the pathophysiological processes and the underlying mechanisms in ALI/ARDS regulated by HDACs and HDACIs in detail, in order to provide the basis for the clinical application of HDACs-targe- ted agents and indicate directions for future study.

Histone deacetylase 3 (HDAC3) plays an important role in chromatin remodeling, which in turn regulates gene transcription, so HDAC3 is involved in the pathophysiology of various diseases through epigenetic regulation. Organ ischemia-reperfusion injury (I R I) is a pathophysiological process that leads to the development of a variety of diseases such as delayed neuronal necrosis, irreversible shock, myocardial infarction, acute organ failure and organ transplant rejection. In this paper we review the pathophysiological function of HDAC3 and its role in the development of IRI in human parenchymal organs, and also explore the therapeutic value of HDAC3 in IRI.

Objective:To explore the relation of plasma Elabela with 3-month prognoses in large vessel occlusion-acute ischemic stroke (LVO-AIS) patients accepted endovascular thrombectomy (EVT).Methods:A prospective study was performed; 94 LVO-AIS patients aceepted EVT in Department of Neurology, Anhui Provincal Hospital, Anhui Medical University from August 2020 to August 2022 were selected. Plasma Elabela was detected before EVT, and 24 and 72 h after EVT. Modified Rankin scale (mRS) was used to evaluate the prognoses of the patients 3 months after EVT; differences in clinical data and plasma Elabela level between the good prognosis group and poor prognosis group were compared. Independent influencing factors for prognoses of LVO-AIS patients 3 months after EVT were analyzed by multivariate Logistic regression. Receiver operating characteristic (ROC) curve was used to analyze the efficacy of Elabela in predicting prognoses of patients with LVO-AIS 3 months after EVT.Results:Compared with the poor prognosis group, the good prognosis group had significantly lower percentages of patients with stroke history and diabetes, and lower NIHSS scores at admission ( P<0.05). Elabela level in the good prognosis group was significantly higher than that in the poor prognosis group 72 h after EVT ( P<0.05). Multivariate Logistic regression analysis showed that stroke history ( OR=0.148, P=0.037, 95% CI: 0.025-0.889), diabetes mellitus ( OR=0.148, P=0.037, 95% CI: 0.025-0.889), hypertension history ( OR=3.488, P=0.024, 95% CI: 1.177-10.339), and Elabela level 72 h after EVT ( OR=1.064, P=0.005, 95% CI: 1.019-1.111) were independent influencing factors for prognoses of LVO-AIS patients 3 months after EVT. ROC curve showed that area under ROC curve of plasma Elabela level 72 h after EVT in predicting prognosies of LVO-AIS patients 3 months after surgery was 0.718 ( P<0.001, 95% CI: 0.614-0.822). Conclusion:Plasma Elabela level 72 h after EVT may be a potential prognostic biomarker for LVO-AIS patients after EVT.

OBJECTIVES: To investigate the risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture and establish a nomogram model for predicting the risk of neonatal asphyxia. METHODS: A retrospective study was conducted with 613 cases of neonatal asphyxia treated in 20 cooperative hospitals in Enshi Tujia and Miao Autonomous Prefecture from January to December 2019 as the asphyxia group, and 988 randomly selected non-asphyxia neonates born and admitted to the neonatology department of these hospitals during the same period as the control group. Univariate and multivariate analyses were used to identify risk factors for neonatal asphyxia. R software (4.2.2) was used to establish a nomogram model. Receiver operator characteristic curve, calibration curve, and decision curve analysis were used to assess the discrimination, calibration, and clinical usefulness of the model for predicting the risk of neonatal asphyxia, respectively. RESULTS: Multivariate logistic regression analysis showed that minority (Tujia), male sex, premature birth, congenital malformations, abnormal fetal position, intrauterine distress, maternal occupation as a farmer, education level below high school, fewer than 9 prenatal check-ups, threatened abortion, abnormal umbilical cord, abnormal amniotic fluid, placenta previa, abruptio placentae, emergency caesarean section, and assisted delivery were independent risk factors for neonatal asphyxia (P<0.05). The area under the curve of the model for predicting the risk of neonatal asphyxia based on these risk factors was 0.748 (95%CI: 0.723-0.772). The calibration curve indicated high accuracy of the model for predicting the risk of neonatal asphyxia. The decision curve analysis showed that the model could provide a higher net benefit for neonates at risk of asphyxia. CONCLUSIONS The risk factors for neonatal asphyxia in Hubei Enshi Tujia and Miao Autonomous Prefecture are multifactorial, and the nomogram model based on these factors has good value in predicting the risk of neonatal asphyxia, which can help clinicians identify neonates at high risk of asphyxia early, and reduce the incidence of neonatal asphyxia.
Infant, Newborn ; Humans ; Male ; Pregnancy ; Female ; Nomograms ; Retrospective Studies ; Cesarean Section ; Risk Factors ; Asphyxia Neonatorum/etiology*

Abstract: Objective To investigate the efficacy of capreomycin adjuvant therapy for multidrug-resistant pulmonary tuberculosis (MDR-TB) and its effect on quality of life and immune function. Methods Eighty-eight elderly pulmonary tuberculosis patients admitted to Affiliated Hospital of Hebei University from October 2019 to October 2020 were selected and divided into two groups according to the random number table method. The control group (n=44) used 4-6Am-Mfx（Lfx）-Pto-Cfz-Z-Hhigh-dose-E/5 Mfx（Lfx）-Cfz-Z-E, the research group (n=44) used capreomycin on the basis of the control group. The 6-Minute Walk Test (6MWT) measured value/predicted value and quality of life [36-Item Short Form Health Survey Questionnaire (SF-36)] scores, safety evaluation results, chest CT cavity and lesion absorption rate and sputum culture turned negative were compared between the two groups, and the serum procalcitonin (PCT) expression levels and immune function were detected before and after treatment. Results The 6MWT measured value/predicted value of the research group and control group before the treatment were (0.48±0.11) and (0.64±0.13), which were significantly higher than corresponding (0.51±0.12) and (0.58±0.14) after treatment (t=6.23, 2.520, P<0.05), the measured/expected value of 6MWT increased in both groups after treatment. Compared with the same group before treatment, the SF-36 scores for each dimension increased in both groups after treatment (P<0.01). The expression levels of serum PCT in the research group and control group before the treatment were (0.37±0.09) ng/mL and (0.12±0.03) ng/mL versus (0.36±0.11) ng/mL and (0.21±0.06) ng/mL after treatment (t=17.480, 7.940, P<0.01). Compared with the same group before treatment, serum PCT expression levels decreased in both groups after treatment. Compared with the same group before treatment, CD3+, CD4+ and CD4+/CD8+ were elevated in both groups after treatment (P<0.05 or P<0.01); after treatment, CD3+, CD4+, and CD4+/CD8+ were significantly higher in research group compared to the control group (t=4.21, 8.02, 2.04, P<0.05). The absorption rate of chest CT cavity and lesions and negative rate of sputum culture in the research group were 88.64% (39/44) and 81.82% (36/44), which were significantly higher than corresponding 63.64% (28/44) and 61.36% (27/44) in the control group (P<0.05). Conclusions　Capreomycin can improve the quality of life of MDR-TB patients, extend the 6-minute walking distance, and regulate serum PCT expression levels and immune function, to promote the absorption of chest CT cavity and lesions, and sputum culture to turn negative, and the security is acceptable.