Objective:To explore the potential impact of lipid metabolism-related single nucleotide polymorphisms(SNP)on semen quality in men.Methods:We selected 284 semen samples from Xingtai Infertility Hospital and Hebei Human Sperm Bank collected between February and October 2023,33 from oligozoospermia(OS),97 from asthenozoospermia(AS)and 54 from oligoas-thenozoospermia(OAS)patients and the other 100 from normal men.We performed computer-assisted semen analysis(CASA)of the samples,extracted blood DNA and,using the Mass ARRAY? System,genotyped the target genes,determined the genotypes of 13 SNPs and compared their distribution,their correlation with BMI and semen quality in different groups.Results:The mutant homozygous(TT)genotype of the FADS2 rs2727270 gene seemed to be a risk factor for AS(OR=4.420,P=0.047),while the APOA2 rs5082-A allele and MC4R rs17782313 heterozygous(TC)genotype important protective factors for OS(OR=0.422 and 0.389;P=0.045 and 0.043,respectively).A significantly higher sperm concentration was found associated with the MC4R rs17782313 heter-ozygous(TC)genotype than with the homozygous(CC)genotype.Stratification analysis showed that the protective effect of the TC genotype was decreased with increased BMI and remained with the interaction of the rs5082 and rs17782313 genotypes.Conclusion:FADS2 rs2727270,APOA2 rs5082 and MC4R rs17782313 were significantly correlated with the risk of abnormal semen parameters.

Objective: To explore the value of cardiac magnetic resonance imaging (CMR) in the risk stratification of hypertrophic cardiomyopathy (HCM). Methods: HCM patients who underwent CMR examination in Fuwai Hospital between March 2012 and May 2013 were retrospectively enrolled. Baseline clinical and CMR data were collected and patient follow-up was performed using telephone contact and medical record. The primary composite endpoint was sudden cardiac death (SCD) or and equivalent event. The secondary composite endpoint was all-cause death and heart transplant. Patients were divided into SCD and non-SCD groups. Cox regression was used to explore risk factors of adverse events. Receiver operating characteristic (ROC) curve analysis was used to assess the performance and the optimal cut-off of late gadolinium enhancement percentage (LGE%) for the prediction of endpoints. Kaplan-Meier and log-rank tests were used to compare survival differences between groups. Results: A total of 442 patients were enrolled. Mean age was (48.5±12.4) years and 143(32.4%) were female. At (7.6±2.5) years of follow-up, 30 (6.8%) patients met the primary endpoint including 23 SCD and 7 SCD equivalent events, and 36 (8.1%) patients met the secondary endpoint including 33 all-cause death and 3 heart transplant. In multivariate Cox regression, syncope(HR=4.531, 95%CI 2.033-10.099, P<0.001), LGE% (HR=1.075, 95%CI 1.032-1.120, P=0.001) and left ventricular ejection fraction (LVEF) (HR=0.956, 95%CI 0.923-0.991, P=0.013) were independent risk factors for primary endpoint; Age (HR=1.032, 95%CI 1.001-1.064, P=0.046), atrial fibrillation (HR=2.977, 95%CI 1.446-6.131, P=0.003),LGE% (HR=1.075, 95%CI 1.035-1.116, P<0.001) and LVEF (HR=0.968, 95%CI 0.937-1.000, P=0.047) were independent risk factors for secondary endpoint. ROC curve showed the optimal LGE% cut-offs were 5.1% and 5.8% for the prediction of primary and secondary endpoint, respectively. Patients were further divided into LGE%=0, 0P<0.001) and the accumulated incidence of primary endpoint was 1.2% (2/161), 2.2% (2/89), 10.5% (16/152) and 25.0% (10/40), respectively. Conclusion: LGE is an independent risk factor for SCD events as well as all-cause death and heart transplant. LGE is of important value in the risk stratification in patients with HCM.
Humans ; Female ; Adult ; Middle Aged ; Male ; Contrast Media ; Retrospective Studies ; Stroke Volume ; Gadolinium ; Ventricular Function, Left ; Magnetic Resonance Imaging ; Cardiomyopathy, Hypertrophic/diagnostic imaging* ; Death, Sudden, Cardiac ; Risk Assessment

The application of new-generation information technologies such as big data, the internet of things(IoT), and cloud computing in the traditional Chinese medicine(TCM)manufacturing industry is gradually deepening, driving the intelligent transformation and upgrading of the TCM industry. At the current stage, there are challenges in understanding the extraction process and its mechanisms in TCM. Online detection technology faces difficulties in making breakthroughs, and data throughout the entire production process is scattered, lacking valuable mining and utilization, which significantly hinders the intelligent upgrading of the TCM industry. Applying data-driven technologies in the process of TCM extraction can enhance the understanding of the extraction process, achieve precise control, and effectively improve the quality of TCM products. This article analyzed the technological bottlenecks in the production process of TCM extraction, summarized commonly used data-driven algorithms in the research and production control of extraction processes, and reviewed the progress in the application of data-driven technologies in the following five aspects: mechanism analysis of the extraction process, process development and optimization, online detection, process control, and production management. This article is expected to provide references for optimizing the extraction process and intelligent production of TCM.
Medicine, Chinese Traditional ; Drugs, Chinese Herbal ; Quality Control ; Big Data ; Algorithms

OBJECTIVE: To retrospectively analyze clinical data of patients under 40 years old who underwent surgical treatment for renal tumors with tumor thrombus from January 2016 to December 2022 at Peking University Third Hospital, and to evaluate the surgical effect and investigate the relationship between clinicopathological characteristics and prognosis. METHODS: The clinical data of 17 young patients with renal tumor thrombus were retrospectively analyzed, and the clinicopathological features and prognosis were summarized. The patients were grouped according to the presence or absence of symptoms, 2017 American Joint Committee on Cancer (AJCC) clinical stage, and postoperative combined adjuvant therapy. Kaplan-Meier method was used to plot the survival curve, and Log-rank test was used to compare the differences in postoperative survival time and progression-free survival time between the different groups. The relationship between clinicopathological features and prognosis was analyzed. RESULTS: All the 17 patients received venous tumor thrombectomy, including 16 patients (94.1%) who underwent radical nephrectomy and 1 patient (5.9%) who underwent partial nephrectomy. Twelve patients (70.6%) had symptoms and 5 (29.4%) had no symptoms before operation. A total of 17 renal tumors were observed, with 2 patients (11.8%) identified as benign and 15 patients (88.2%) classified as malignant. Among the malignant tumors, 1 patient (6.7%) was diagnosed as clear cell carcinoma, while the remaining 14 patients (93.3%) were categorized as non-clear cell carcinoma. In terms of tumor stage, 8 patients (53.3%) were classified as stage Ⅲ according to the AJCC classification, while 7 patients (46.7%) were categorized as stage Ⅳ. Additionally, 6 patients (40%) received multiple adjuvant therapy, while 9 patients (60%) did not undergo such treatment. The follow-up period ranged from 2 to 78 months, with a median follow-up of 41 months. During this time, 3 patients (20%) died. The median survival time after surgery was 39.0 (2.3, 77.8) months, and the progression-free survival time was 16.4 (2.3, 77.8) months. There was no significant difference in postoperative survival time and progression-free survival time among young patients with renal tumor with tumor thrombus, based on the presence of symptoms before surgery (P=0.307, P=0.302), clinical stage of AJCC (P=0.340, P=0.492), and postoperative adjuvant therapy (P=0.459, P=0.253) group. CONCLUSION The pathological types of young patients with renal tumor with tumor thrombus are more complex and varied due to symptoms, and the proportion of non-clear cell carcinoma in malignant tumor with tumor thrombus is higher. Symptomatic and non-clear cell carcinoma may be potentially associated with poor prognosis. Surgical operation combined with adjuvant therapy is a relatively safe and effective treatment for young patients with renal tumor and tumor thrombus.
Humans ; Adult ; Carcinoma, Renal Cell/surgery* ; Retrospective Studies ; Vena Cava, Inferior/surgery* ; Kidney Neoplasms/surgery* ; Prognosis ; Thrombosis/surgery* ; Thrombectomy/methods* ; Nephrectomy/methods*

OBJECTIVE: To investigate and analyze the risk factors of massive hemorrhage in patients with renal cell carcinoma and venous tumor thrombus undergoing radical nephrectomy and removal of venous tumor thrombus. METHODS: From January 2014 to June 2020, 241 patients with renal cancer and tumor thrombus in a single center of urology at Peking University Third Hospital were retrospectively analyzed. All patients underwent radical nephrectomy and removal of venous tumor thrombus. The relevant preoperative indicators, intraoperative conditions, and postoperative data were statistically analyzed by using statistical software of SPSS 18.0. The main end point of the study was intraoperative bleeding volume greater than 2 000 mL. Logistic regression analysis was used to determine the relevant influencing factors. First, single factor Logistic regression was used for preliminary screening of influencing factors, and variables with single factor Logistic regression analysis P < 0.05 were included in multivariate Logistic regression. In all statistical analyses, P < 0.05 is considered statistically significant. RESULTS: Among the 241 patients included, there were 60 cases of massive hemorrhage, 48 males and 12 females, with a median age of 62 years. The number of non-massive hemorrhage was 181. There were 136 males and 45 females, with a median age of 59 years. Univariate analysis showed that the clinical symptoms (both systemic and local symptoms, OR 2.794, 95%CI 1.087-7.181, P=0.033), surgical approach (open surgery, OR 9.365, 95%CI 4.447-19.72, P < 0.001), Mayo grade (Mayo 3-4, OR 5.257, 95%CI 2.806-10.886, P < 0.001), American Society of Anesthesiologists (ASA) score (ASA level 3, OR 2.842, 95%CI 1.338-6.036, P=0.007), preoperative hemoglobin (OR 0.978, 95%CI 0.965-0.991, P=0.001), preoperative platelet count (OR 0.996, 95%CI 0.992-1.000, P=0.037), maximum tumor thrombus width (OR 1.061, 95%CI 1.033-1.091, P < 0.001), Complicated with bland thrombus (OR 4.493, 95%CI 2.264-8.915, P < 0.001), adrenalectomy (OR 3.101, 95%CI 1.614-5.958, P=0.001), segmental resection of the inferior vena cava (OR 2.857, 95%CI 1.395-5.852, P=0.004). There was a statistically significant difference in these aspects(P < 0.05). Multivariate Logistic regression analysis showed that there was a statistically significant difference in surgical approach (open surgery, OR 6.730, 95%CI 2.947-15.368;P < 0.001), Mayo grade (Mayo 3-4, OR 2.294, 95%CI 1.064-4.948, P=0.034), Complicated with bland thrombus (OR 3.236, 95%CI 1.492-7.020, P=0.003). CONCLUSION Combining the results of univariate and multivariate Logistic regression analysis, the surgical approach, Mayo grade, and tumor thrombus combined with conventional thrombus were associated risk factors for massive hemorrhage during surgery for renal cell carcinoma with tumor thrombus. Patients who undergo open surgery, high Mayo grade, and tumor thrombus combined with conventional thrombus are at a relatively higher risk of massive hemorrhage.
Male ; Female ; Humans ; Middle Aged ; Carcinoma, Renal Cell/pathology* ; Retrospective Studies ; Thrombosis/etiology* ; Kidney Neoplasms/pathology* ; Vena Cava, Inferior/surgery* ; Nephrectomy/methods* ; Thrombectomy/methods* ; Risk Factors ; Hemorrhage

Objective: Comparing the benefit of Abidor, lopinavir/ritonavir and recombinant interferon α-2b triple combination antiviral therapy and lopinavir/ritonavir and interferon dual combination antiviral therapy to hospitalized novel coronavirus pneumonia 2019 in Zhejiang province. Methods: A multi-center prospective study was carried out to compare the effect of triple combination antiviral therapy with dual combination antiviral therapy in 15 medical institutions of Zhejiang Province. All patients were treated with recombinant interferon α-2b (5 million U, 2 times/d) aerosol inhalation. 196 patients were treated with abidol (200 mg, 3 times/d) + lopinavir / ritonavir (2 tablets, 1 time/12 h) as the triple combination antiviral treatment group. 41 patients were treated with lopinavir / ritonavir (2 tablets, 1 time/12 h) as the dual combination antiviral treatment group. The patients who received triple combination antiviral therapy were divided into three groups: within 48 hours, 3-5 days and > 5 days after the symptom onset. To explore the therapeutic effects of triple combination antiviral drugs and dual combination antiviral drugs, as well as triple combination antiviral drugs with different antiviral initiate time. SPSS17.0 software was used to analyze the data. Results: The time of virus nucleic acid turning negative was (12.2 ± 4.7) days in the triple combination antiviral drug group, which was shorter than that in the dual combination antiviral drug group [(15.0 ± 5.0) days] (t = 6.159, P < 0.01 ). The length of hospital stay [12 (9, 17) d] in the triple combination antiviral drug group was also shorter than that in the dual combination antiviral drug group [15 (10, 18) d] (H = 2.073, P < 0.05). Comparing the antiviral treatment which was started within 48 hours, 3-5 days and > 5 days after the symptom onset of triple combination antiviral drug group, the time from the symptom onset to the negative of viral shedding was 13 (10,16.8), 17 (13,22) and 21 (18-24) days respectively (Z = 32.983, P < 0.01), and the time from antiviral therapy to the negative of viral shedding was (11.8±3.9) , (13.5±5.1) and (11.2±4.3) d. The differences among the three groups were statistically significant (Z=32.983 and 6.722, P<0.01 or<0.05). Conclusions The triple combination antiviral therapy of Abidor, Lopinavir/Litonavir and recombinant interferon α-2b showed shorter viral shedding time and hospitalization time compared with the dual combination antiviral therapy. The earlier the time to initiate triple antiviral treatment, the shorter the time of virus shedding.

Objective: Several COVID-19 patients have overlapping comorbidities. The independent role of each component contributing to the risk of COVID-19 is unknown, and how some non-cardiometabolic comorbidities affect the risk of COVID-19 remains unclear. Methods: A retrospective follow-up design was adopted. A total of 1,160 laboratory-confirmed patients were enrolled from nine provinces in China. Data on comorbidities were obtained from the patients' medical records. Multivariable logistic regression models were used to estimate the odds ratio ( Results: Overall, 158 (13.6%) patients were diagnosed with severe illness and 32 (2.7%) had unfavorable outcomes. Hypertension (2.87, 1.30-6.32), type 2 diabetes (T2DM) (3.57, 2.32-5.49), cardiovascular disease (CVD) (3.78, 1.81-7.89), fatty liver disease (7.53, 1.96-28.96), hyperlipidemia (2.15, 1.26-3.67), other lung diseases (6.00, 3.01-11.96), and electrolyte imbalance (10.40, 3.00-26.10) were independently linked to increased odds of being severely ill. T2DM (6.07, 2.89-12.75), CVD (8.47, 6.03-11.89), and electrolyte imbalance (19.44, 11.47-32.96) were also strong predictors of unfavorable outcomes. Women with comorbidities were more likely to have severe disease on admission (5.46, 3.25-9.19), while men with comorbidities were more likely to have unfavorable treatment outcomes (6.58, 1.46-29.64) within two weeks. Conclusion Besides hypertension, diabetes, and CVD, fatty liver disease, hyperlipidemia, other lung diseases, and electrolyte imbalance were independent risk factors for COVID-19 severity and poor treatment outcome. Women with comorbidities were more likely to have severe disease, while men with comorbidities were more likely to have unfavorable treatment outcomes.
Adult ; Aged ; COVID-19/virology* ; China/epidemiology* ; Comorbidity ; Female ; Humans ; Male ; Middle Aged ; Retrospective Studies ; Severity of Illness Index ; Treatment Outcome

Objective:To compare the efficacy of the combination of abidol, lopinavir/ritonavir plus recombinant interferon α-2b (rIFNα-2b) and the combination of lopinavir/ritonavir plus rIFNα-2b for patients with COVID-19 in Zhejiang province.Methods:A multicenter prospective study was carried out to compare the efficacy of triple combination antiviral therapy and dual combination antiviral therapy in 15 medical institutions of Zhejiang province during January 22 to February 16, 2020. All patients were treated with rIFNα-2b (5 million U, 2 times/d) aerosol inhalation, in addition 196 patients were treated with abidol (200 mg, 3 times/d) + lopinavir/ritonavir (2 tablets, 1 time/12 h) (triple combination group) and 41 patients were treated with lopinavir/ritonavir (2 tablets, 1 time/12 h) (dual combination group). The patients who received triple combination antiviral therapy were further divided into three subgroups: <48 h, 3-5 d and >5 d according the time from the symptom onset to medication starting. The therapeutic efficacy was compared between triple combination group and dual combination group, and compared among 3 subgroups of patients receiving triple combination antiviral therapy. SPSS 17.0 software was used to analyze the data.Results:The virus nucleic acid-negative conversion time in respiratory tract specimens was (12.2±4.7) d in the triple combination group, which was shorter than that in the dual combination group [(15.0±5.0) d] ( t=6.159, P<0.01). The length of hospital stay in the triple combination group [12.0 (9.0, 17.0) d] was also shorter than that in the dual combination group [15.0 (10.0, 18.0) d] ( H=2.073, P<0.05). Compared with the antiviral treatment which was started within after the symptom onset of in the triple combination group, the time from the symptom onset to the viral negative conversion was 13.0 (10.0, 17.0), 17.0 (13.0, 22.0) and 21.0 (18.0, 24.0) d in subgroups of 48 h, 3-5 d and >5 d, respectively ( Z=32.983, P<0.01), while the time from antiviral therapy to viral negative conversion was (11.8±3.9), (13.5±5.1) and (11.2±4.3) d, respectively( Z=6.722, P<0.05). Conclusions:The triple combination antiviral therapy of abidol, lopinavir/litonavir and rIFNα-2b shows shorter viral shedding time and shorter hospitalization time, compared with the dual combination antiviral therapy; and the earlier starting triple combination antiviral therapy will result in better antiviral efficacy.

To address the increasing need for detecting and validating protein biomarkers in clinical specimens, mass spectrometry (MS)-based targeted proteomic techniques, including the selected reaction monitoring (SRM), parallel reaction monitoring (PRM), and massively parallel data-independent acquisition (DIA), have been developed. For optimal performance, they require the fragment ion spectra of targeted peptides as prior knowledge. In this report, we describe a MS pipe-line and spectral resource to support targeted proteomics studies for human tissue samples. To build the spectral resource, we integrated common open-source MS computational tools to assemble a freely accessible computational workflow based on Docker. We then applied the workflow to gen-erate DPHL, a comprehensive DIA pan-human library, from 1096 data-dependent acquisition (DDA) MS raw files for 16 types of cancer samples. This extensive spectral resource was then applied to a proteomic study of 17 prostate cancer (PCa) patients. Thereafter, PRM validation was applied to a larger study of 57 PCa patients and the differential expression of three proteins in prostate tumor was validated. As a second application, the DPHL spectral resource was applied to a study consisting of plasma samples from 19 diffuse large B cell lymphoma (DLBCL) patients and 18 healthy control subjects. Differentially expressed proteins between DLBCL patients and healthy control subjects were detected by DIA-MS and confirmed by PRM. These data demonstrate that the DPHL supports DIA and PRM MS pipelines for robust protein biomarker discovery. DPHL is freely accessible at https://www.iprox.org/page/project.html?id=IPX0001400000.