Infectious hepatitis E virus excreted into the vagina.

Hepatitis E virus (HEV) persists in the male genital tract that associates with infertility. However, the presence of HEV in the female genital tract is unreported. Vaginal secretions, cervical smears, and cervix uteri were collected to explore the presence of HEV in the female genital tract. HEV RNA and/or antigens were detected in the vaginal secretions, cervical smears, and the cervix uteri of women. The infectivity of HEV excreted into vaginal secretions was further validated in vitro. In addition, HEV replicates in the female genital tract were identified in HEV-infected animal models by vaginal injection or vaginal mucosal infection to imitate sexual transmission. Serious genital tract damage and inflammatory responses with significantly elevated mucosal innate immunity were observed in women or animals with HEV vaginal infection. Results demonstrated HEV replicates in the female genital tract and causes serious histopathological damage and inflammatory responses.

MRI-Based Breast Cancer Classification and Localization by Multiparametric Feature Extraction and Combination Using Deep Learning.

BACKGROUND: Deep learning (DL) have been reported feasible in breast MRI. However, the effectiveness of DL method in mpMRI combinations for breast cancer detection has not been well investigated. PURPOSE: To implement a DL method for breast cancer classification and detection using feature extraction and combination from multiple sequences. STUDY TYPE: Retrospective. POPULATION: A total of 569 local cases as internal cohort (50.2 ± 11.2 years; 100% female), divided among training (218), validation (73) and testing (278); 125 cases from a public dataset as the external cohort (53.6 ± 11.5 years; 100% female). FIELD STRENGTH/SEQUENCE: T1-weighted imaging and dynamic contrast-enhanced MRI (DCE-MRI) with gradient echo sequences, T2-weighted imaging (T2WI) with spin-echo sequences, diffusion-weighted imaging with single-shot echo-planar sequence and at 1.5-T. ASSESSMENT: A convolutional neural network and long short-term memory cascaded network was implemented for lesion classification with histopathology as the ground truth for malignant and benign categories and contralateral breasts as healthy category in internal/external cohorts. BI-RADS categories were assessed by three independent radiologists as comparison, and class activation map was employed for lesion localization in internal cohort. The classification and localization performances were assessed with DCE-MRI and non-DCE sequences, respectively. STATISTICAL TESTS: Sensitivity, specificity, area under the curve (AUC), DeLong test, and Cohen's kappa for lesion classification. Sensitivity and mean squared error for localization. A P-value <0.05 was considered statistically significant. RESULTS: With the optimized mpMRI combinations, the lesion classification achieved an AUC = 0.98/0.91, sensitivity = 0.96/0.83 in the internal/external cohorts, respectively. Without DCE-MRI, the DL-based method was superior to radiologists' readings (AUC 0.96 vs. 0.90). The lesion localization achieved sensitivities of 0.97/0.93 with DCE-MRI/T2WI alone, respectively. DATA CONCLUSION: The DL method achieved high accuracy for lesion detection in the internal/external cohorts. The classification performance with a contrast agent-free combination is comparable to DCE-MRI alone and the radiologists' reading in AUC and sensitivity. EVIDENCE LEVEL: 3. TECHNICAL EFFICACY: Stage 2.

Identification of Parkinson's disease and multiple system atrophy using multimodal PET/MRI radiomics.

OBJECTIVES: To construct a machine learning model for differentiating Parkinson's disease (PD) and multiple system atrophy (MSA) by using multimodal PET/MRI radiomics and clinical characteristics. METHODS: One hundred and nineteen patients (81 with PD and 38 with MSA) underwent brain PET/CT and MRI to obtain metabolic images ([18F]FDG, [11C]CFT PET) and structural MRI (T1WI, T2WI, and T2-FLAIR). Image analysis included automatic segmentation on MRI, co-registration of PET images onto the corresponding MRI. Radiomics features were then extracted from the putamina and caudate nuclei and selected to construct predictive models. Moreover, based on PET/MRI radiomics and clinical characteristics, we developed a nomogram. Receiver operating characteristic (ROC) curves were performed to evaluate the performance of the models. Decision curve analysis (DCA) was employed to access the clinical usefulness of the models. RESULTS: The combined PET/MRI radiomics model of five sequences outperformed monomodal radiomics models alone. Further, PET/MRI radiomics-clinical combined model could perfectly distinguish PD from MSA (AUC = 0.993), which outperformed the clinical model (AUC = 0.923, p = 0.028) in training set, with no significant difference in test set (AUC = 0.860 vs 0.917, p = 0.390). However, no significant difference was found between PET/MRI radiomics-clinical model and PET/MRI radiomics model in training (AUC = 0.988, p = 0.276) and test sets (AUC = 0.860 vs 0.845, p = 0.632). DCA demonstrated the highest clinical benefit of PET/MRI radiomics-clinical model. CONCLUSIONS: Our study indicates that multimodal PET/MRI radiomics could achieve promising performance to differentiate between PD and MSA in clinics. CLINICAL RELEVANCE STATEMENT: This study developed an optimal radiomics signature and construct model to distinguish PD from MSA by multimodal PET/MRI imaging methods in clinics for parkinsonian syndromes, which achieved an excellent performance. KEY POINTS: •Multimodal PET/MRI radiomics from putamina and caudate nuclei increase the diagnostic efficiency for distinguishing PD from MSA. •The radiomics-based nomogram was developed to differentiate between PD and MSA. •Combining PET/MRI radiomics-clinical model achieved promising performance to identify PD and MSA.

Quantification of host proteomic responses to genotype 4 hepatitis E virus replication facilitated by pregnancy serum.

BACKGROUND: Hepatitis E virus (HEV) infection is a common cause of acute hepatitis worldwide and causes approximately 30% case fatality rate among pregnant women. Pregnancy serum (PS), which contains a high concentration of estradiol, facilitates HEV replication in vitro through the suppression of the PI3K-AKT-mTOR and cAMPK-PKA-CREB signaling pathways. However, the proteomics of the complex host responses to HEV infection, especially how PS facilitates viral replication, remains unclear. METHODS: In this study, the differences in the proteomics of HEV-infected HepG2 cells supplemented with fetal bovine serum (FBS) from those of HEV-infected HepG2 cells supplemented with serum from women in their third trimester of pregnancy were quantified by using isobaric tags for relative and absolute quantification technology. RESULTS: A total of 1511 proteins were identified, among which 548 were defined as differentially expressed proteins (DEPs). HEV-infected cells supplemented with PS exhibited the most significant changes at the protein level. A total of 328 DEPs, including 66 up-regulated and 262 down-regulated proteins, were identified in HEV-infected cells supplemented with FBS, whereas 264 DEPs, including 201 up-regulated and 63 down-regulated proteins, were found in HEV-infected cells supplemented with PS. Subsequently, Gene Ontology and Kyoto Encyclopedia of Genes and Genomes analyses revealed that in HEV-infected cells, PS supplementation adjusted more host genes and signaling pathways than FBS supplementation. The DEPs involved in virus-host interaction participated in complex interactions, especially a large number of immune-related protein emerged in HEV-infected cells supplemented with PS. Three significant or interesting proteins, including filamin-A, thioredoxin, and cytochrome c, in HEV-infected cells were functionally verified. CONCLUSIONS: The results of this study provide new and comprehensive insight for exploring virus-host interactions and will benefit future studies on the pathogenesis of HEV in pregnant women.

Severe maternal-fetal pathological damage and inflammatory responses contribute to miscarriage caused by hepatitis E viral infection during pregnancy.

BACKGROUND: Hepatitis E virus (HEV) infection causes serious adverse pregnancy outcomes during pregnancy. However, the maternal and fetal damage induced by HEV infection is rarely reported. METHODS: A BALB/c pregnant mouse model was established to explore the maternal and fetal pathological damage and inflammatory responses caused by HEV infection. RESULTS: Notably, miscarriages and stillbirths were observed in HEV-infected pregnant mice. HEV infections were identified by qRT-PCR, immunohistochemical analysis and immunofluorescence assay in the uterus, placenta, umbilical cords and livers and brains of fetuses. Serious inflammatory responses and pathological damage were triggered in the uterus and placenta of HEV-infected pregnant mice. Vertical transmission of HEV resulted in severe pathological damage and inflammatory responses in the livers and brains of fetuses, as well as emerging apoptosis cells in the brains of fetuses. Most of the cytokines/chemokines in the sera were significantly increased in the HEV-infected pregnant mice. Remarkably, cytokines/chemokines were significantly different between HEV-infected pregnant and miscarriage mice; IL9, GM-CSF and IL1α were the most important three cytokines/chemokines in determining the pregnancy outcomes. CONCLUSION: HEV infections cause serious maternal/fetal pathological damage, inflammatory responses and apoptosis, which may be responsible for adverse pregnancy outcomes.

Inhibition of hepatitis E virus replication by zinc-finger antiviral Protein synergizes with IFN-ß.

Hepatitis E virus (HEV) infection is the most common cause of acute viral hepatitis worldwide. However, host-HEV interactions have yet to be fully understood. Zinc-finger antiviral protein (ZAP) is a novel interferon (IFN)-stimulated gene product that inhibits a variety of viruses in synergy with IFN-ß. To evaluate the role of ZAP in HEV infection, its expressions in HEV-infected patients and in cell cultures were measured. We report a significant inhibition of ZAP expression in patients with HEV genotype four acute infection. The expression of ZAP in the HEV life cycle was monitored in cultures of HEV-infected cells. Results indicated that the ZAP level decreased significantly after HEV infection. ZAP over-expression inhibited HEV replication, whereas its knockdown by RNA interference significantly increased HEV RNA. These suggest that ZAP serves as an antiviral in HEV infection. Moreover, silencing ZAP decreased IFN regulatory factor 3 (IRF3) phosphorylation in HEV-infected cells treated with poly(I:C), indicating that ZAP synergizes with IFN-ß. In conclusion, ZAP is an important anti-HEV host factor and in synergy with IFN-ß, inhibits HEV replication.

Neuropeptide S Displays as a Key Neuromodulator in Olfactory Spatial Memory.

Neuropeptide S (NPS) is an endogenous peptide recently recognized to be presented in the brainstem and believed to play an important role in maintaining memory. The deletion of NPS or NPS receptor (NPSR) in mice shows a deficit in memory formation. Our recent studies have demonstrated that central administration of NPS facilitates olfactory function and ameliorates olfactory spatial memory impairment induced by muscarinic cholinergic receptor antagonist and N-methyl-D-aspartate receptor antagonist. However, it remains to be determined if endogenous NPS is an indispensable neuromodulator in the control of the olfactory spatial memory. In this study, we examined the effects of NPSR peptidergic antagonist [D-Val5]NPS (10 and 20 nmol, intracerebroventricular) and nonpeptidergic antagonist SHA 68 (10 and 50 mg/kg, intraperitoneal) on the olfactory spatial memory using computer-assisted 4-hole-board olfactory spatial memory test in mice. Furthermore, immunofluorescence was employed to identify the distributions of c-Fos and NPSR immunoreactive (-ir) neurons in olfactory system and hippocampal formation known to closely relate to the olfactory spatial memory. [D-Val5]NPS dosing at 20 nmol and SHA 68 dosing at 50 mg/kg significantly decreased the number of visits to the 2 odorants interchanged spatially, switched odorants, in recall trial, and simultaneously reduced the percentage of Fos-ir in NPSR-ir neurons, which were densely distributed in the anterior olfactory nucleus, piriform cortex, subiculum, presubiculum, and parasubiculum. These findings suggest that endogenous NPS is a key neuromodulator in olfactory spatial memory.

Synthesis and antibacterial activity of novel 4″-O-(1-aralkyl-1,2,3-triazol-4-methyl-carbamoyl) azithromycin analogs.

Three novel structural series of 4″-O-(1-aralkyl-1,2,3-triazol-4-methyl-carbamoyl) azithromycin analogs were designed, synthesized and evaluated for their in vitro antibacterial activity. All the target compounds exhibited excellent activity against erythromycin-susceptible Streptococcus pyogenes, and significantly improved activity against three phenotypes of erythromycin-resistant Streptococcus pneumoniae compared with clarithromycin and azithromycin. Among the three series of azithromycin analogs, the novel series of 11,4″-disubstituted azithromycin analogs 9a-k exhibited the most effective and balanced activity against susceptible and resistant bacteria. Among them, compound 9j showed the most potent activity against Staphylococcus aureus ATCC25923 (0.008µg/mL) and Streptococcus pyogenes R2 (1µg/mL). Besides, all the 11,4″-disubstituted azithromycin analogs 9a-k except 9f shared the identical activity with the MIC value <0.002µg/mL against Streptococcus pyogenes S2. Furthermore, compounds 9g, 9h, 9j and 9k displayed significantly improved activity compared with the references against all the three phenotypes of resistant S. pneumoniae. Particularly, compound 9k was the most effective (0.06, 0.03 and 0.125µg/mL) against all the erythromycin-resistant S. pneumoniae expressing the erm gene, the mef gene and the erm and mef genes, exhibiting 2133, 133 and 2048-fold more potent activity than azithromycin, respectively.

Identification of potential drugs for Parkinson's disease based on a sub-pathway method.

Parkinson's disease (PD) is the second most prevalent neurodegenerative disease in ageing individuals. Current therapeutic regimen suffers from general side effects and a poor efficiency for PD symptoms. The need for development new therapeutic agents for PD is urgent. Here, we aimed to explore the metabolic mechanism of PD and identified potential novel agents for PD by a sub-pathway-based method. By using the GSE7621 microarray data from the GEO database, we first identified the 1226 differentially expressed genes (DEGs) between PD and normal samples. Then we identified 19 significant enriched metabolic sub-pathways, which may involve in development of PD. Finally, by an integrated analysis of PD-involved sub-pathways and drug-affected sub-pathways, we identified 49 novel small molecular drugs capable to target the PD-involved sub-pathways. Our method could not only identify existing drug (apomorphine) for PD, but also predict potentially novel agents (ketoconazole and astemizole), which might have therapeutic effects via targeting some key enzymes in arachidonic acid metabolism. These candidate agents identified by our approach may provide insights into a novel therapy approach for PD.

The value of single-incision laparoscopic surgery for colorectal cancer: a systematic literature review.

BACKGROUND/AIMS: Recently, single-incision laparoscopic colectomy (SILC) for colorectal malignancy is rapidly becoming the central issue for explorers of minimally invasive surgery worldwide. The aim of this systematic review was to establish the safety and efficacy of SILC for colorectal malignancy when implemented by experienced surgeons. METHODOLOGY: PubMed, WHO international trial register and Embase were searched for publications concerning SILC and MLC from 2000 to 2013, with the last search on September 10, 2013. Only pure single-incision laparoscopic colonic surgery for malignant disease was included. Primary outcomes were the early postoperative complication profiles of SILC. Secondary outcomes were duration of operation time, blood loss, lymph node yields, conversion rate, distal margin of the resected tumor, and duration of hospital stay. RESULTS: Eight studies involving 547 patients met the inclusion criteria. Compared with multiport laparoscopic colectomy (MLC), SILC has less postoperative complication and bleeding. The conversion, the median lymph node retrieval, proximal margin of the resected tumor and distal margin of the resected tumor for malignant disease achieved with SILC was acceptable. There was no significant reduction in length of hospital stay with SILC. CONCLUSION: SILC is a technically reliable and realistic approach with short-term results similar to those obtained with the MLC procedure.

The prognostic value of HER-2/neu overexpression in colorectal cancer: evidence from 16 studies.

Human epidermal growth factor receptor (HER-2/neu) plays an important role in the progression of several types of cancer. Numerous studies examining the relationship between HER-2 overexpression and prognostic impact in patients with colorectal cancer have yielded inconclusive results. We therefore conducted a meta-analysis to provide a comprehensive evaluation of the prognostic value of HER-2 expression on the survival, which compared the positive and negative expressions of HER-2 in patients of the available studies. Hazard ratios (HRs) and their corresponding 95% confidence intervals (95% CIs) were pooled in terms of disease-specific or overall survival. A detailed search was made in PubMed for relevant original articles published in English. Finally, a total of 18 studies with 16 colorectal cancer patients were involved. Overexpression of HER-2 was negatively related to survival in colorectal cancer patients with the pooled HR of 1.05 (95% CI 0.78-1.31, P = 0.000). In conclusion, the finding from this present meta-analysis suggested that HER-2 overexpression was not related to poor prognostic of colorectal cancer.

Identifying distinct candidate genes for early Parkinson's disease by analysis of gene expression in whole blood.

OBJECTIVE: Parkinson disease (PD) is a degenerative disorder of the central nervous system, and in the majority of cases, the causes of PD are unknown. Coupled with impressive advances in statistical tools for analyzing large, complex data sets, well-designed microarray experiments are poised to make a big impact in the field of diseases. So we set the study to identify distinct PD-associated candidates. METHODS: Candidate genes, with statistical significant changes of expression in PD patients' samples, were extracted from a transcriptome-wide microarray data in 105 individuals, which were downloaded from GEO, NCBI, by using statistical methods; Selected findings were confirmed by principal component analysis (PCA) and functional and pathway enrichment analysis were used to further study about the distinct candidates. RESULTS: A total of 10 distinctly differentially expressed genes were identified in PD patitents' samples. After PCA confirmation, we specifically pointed out 4 genes (PRKAG2, DLG1, DDX3Y, RPS4Y) as the high confidence distinct candidates in PD. Network and functional categories showed that they were most related to translational elongation(GO:0006414) and participated in mTOR signaling pathway(hsa04150). CONCLUSION: Among 10 distinct genes which are identified in PD patients' samples, DLG1, XIST, DDX3Y and RPS4Y1 genes can classify samples into different group clearly, and they are regarded as high confidence distinct gene biomarkers of PD. Our results provide a systematic view of the functional alterations of PD that may help to elucidate the mechanisms of PD and lead to improved treatments for PD patients.

The clinical value of acupuncture for women with premature ovarian insufficiency: a systematic review and meta-analysis of randomized controlled trials.

Objective: The aim of this study was to evaluate the therapeutic implications of acupuncture on improving ovarian function in women diagnosed with premature ovarian insufficiency (POI) through the implementation of randomized clinical trials (RCTs). Methods: A comprehensive search of eight databases was conducted to identify RCTs up until 5 October 2023. The outcomes included the levels of sex hormones, antral follicle count (AFC), Kupperman score, and total effective rate. The risk of bias (RoB) tool was utilized to evaluate the quality of the included studies. In order to guarantee the robustness and reliability of the findings, subgroup and sensitivity analyses were performed to investigate potential sources of heterogeneity. Results: A total of 13 RCTs comprising 775 patients were included in the study. Acupuncture demonstrated significant efficacy in reducing follicle-stimulating hormone (FSH) [SMD = 0.83, 95% CI (0.27, 1.39), I 2 = 92%, p = 0.004], enhancing estradiol levels (E2) [SMD = 0.50, 95% CI (0.07, 0.93), p = 0.02, I 2 = 87%], and increasing anti-Müllerian hormone (AMH) [SMD = 0.24, 95% CI (0.05, 0.44), p = 0.01, I 2 = 8%], as well as improving the overall effective rate [RR = 1.22, 95% CI (1.10, 1.35), p < 0.01, I 2 = 14%]. Subgroup analysis revealed that compared with non-acupuncture therapy, the acupuncture with Chinese herbal medicine (CHM) and hormone replacement therapy (HRT) group exhibited a substantial reduction in FSH levels [SMD = 1.02, 95% CI (0.52, 1.51), I 2 = 60%, p < 0.01]. Furthermore, the acupuncture with CHM group also exhibited a substantial reduction [SMD = 4.59, 95% CI (1.53, 7.65), I 2 = 98%, p < 0.01]. However, only the acupuncture with CHM and HRT group demonstrated a significant increase in E2 levels [SMD = 0.55, 95% CI (0.23, 0.87), I 2 = 12%, p < 0.01]. Conclusion: Acupuncture has demonstrated superiority over non-acupuncture in diminishing serum FSH levels and increasing serum E2, AMH, and the overall efficacy rate in women diagnosed with POI. These research findings suggest the necessity for broader-scale research with meticulous designs to fully demonstrate the efficacy and safety of acupuncture in the treatment of women with POI. Systematic review registration: https://www.crd.york.ac.uk, identifier CRD42023467751.

Association between household size and risk of incident dementia in the UK Biobank study.

Currently, the relationship between household size and incident dementia, along with the underlying neurobiological mechanisms, remains unclear. This prospective cohort study was based on UK Biobank participants aged ≥ 50 years without a history of dementia. The linear and non-linear longitudinal association was assessed using Cox proportional hazards regression and restricted cubic spline models. Additionally, the potential mechanisms driven by brain structures were investigated by linear regression models. We included 275,629 participants (mean age at baseline 60.45 years [SD 5.39]). Over a mean follow-up of 9.5 years, 6031 individuals developed all-cause dementia. Multivariable analyses revealed that smaller household size was associated with an increased risk of all-cause dementia (HR, 1.06; 95% CI 1.02-1.09), vascular dementia (HR, 1.08; 95% CI 1.01-1.15), and non-Alzheimer's disease non-vascular dementia (HR, 1.09; 95% CI 1.03-1.14). No significant association was observed for Alzheimer's disease. Restricted cubic splines demonstrated a reversed J-shaped relationship between household size and all-cause and cause-specific dementia. Additionally, substantial associations existed between household size and brain structures. Our findings suggest that small household size is a risk factor for dementia. Additionally, brain structural differences related to household size support these associations. Household size may thus be a potential modifiable risk factor for dementia.

Synthesis and on-target antibacterial activity of novel 3-elongated arylalkoxybenzamide derivatives as inhibitors of the bacterial cell division protein FtsZ.

Novel 3-elongated arylalkoxybenzamide derivatives were designed, synthesized and evaluated for their cell division inhibitory activity and antibacterial activity. Among them, the subseries of 3-alkyloxybenzamide derivatives exhibited greatly improved on-target activity against Bacillus subtilis and Staphylococcus aureus, and remarkably increased antibacterial activity against B. subtilis ATCC9372, penicillin-susceptible S. aureus ATCC25923, methicillin-resistant S. aureus ATCC29213 (MRSA) and penicillin-resistant S. aureus PR compared with 3-methoxybenzamide. In contrast, the subseries of 3-phenoxyaklyloxybenzamide, 3-heteroarylalkyloxybenzamide and 3-heteroarylthioalkyloxybenzamide derivatives only showed a significant improvement in on-target activity and antibacterial activity against B. subtilis ATCC9372.

Retrospective analysis of protective stoma after low anterior resection for rectal cancer with total mesorectal excision: three-year follow-up results.

BACKGROUND/AIMS: Anastomotic leakage is a complication of low anterior resection (LAR) for rectal cancer with total mesorectal excision (TME). This study evaluated the need for a protective stoma by a three-year follow-up. METHODOLOGY: A retrospective study of 56 LAR patients was conducted. Thirty patients (53.6%) had a protective stoma. C-reactive protein (CRP), interleukin 6 (IL-6) and tumor necrosis factor (TNF) in peripheral blood on the first and third day after surgery were compared, in addition to short-term and later complications, long-term mortality and quality of life (QOL). RESULTS: There was significant difference between patients with and without a stoma in CRP, IL-6 on the third day after surgery (p<0.05). Anastomotic leakage occurred in two patients (6.7%) with a stoma and seven (26.9%) without (p=0.039). The incidence of leaks requiring re-operation was significantly lower with a stoma (p=0.012). After a mean follow-up of three years, there was no difference in long-term mortality, survival or scores on QOL questionnaires. CONCLUSIONS: A protective stoma can reduce the stress reaction, promote recovery of bowel function and reduce anastomotic leakage and re-operation rates in LAR for rectal cancer with TME. No significant difference was observed in long-term mortality or QOL.

Prognostic significance of long noncoding RNA TTN-AS1 in various malignancies.

BACKGROUND: Increasing evidence has demonstrated that high TTN-AS1 expression is highly related to poor prognosis in diverse human cancers. However, the findings concerning the prognostic value of TTN-AS1 were inconsistent, as these conclusions were usually drawn with relatively small sample sizes. Hence, this meta-analysis proposes to investigate the prognostic significance of TTN-AS1 in multiple malignancies systematically. METHODS: Web of Science, Springer, Embase, PubMed, Cochrane Library, and Scopus databases were comprehensively searched to retrieve studies related to the TTN-AS1 expression with the prognosis of malignancies. The significance of the TTN-AS1 in cancers was estimated by hazard ratios (HRs) or odds ratios (ORs). Additionally, the Gene Expression Profiling Interactive Analysis (GEPIA) analysis tool was used to strengthen our results further. RESULTS: Twenty studies involving 17 different cancers and 1330 patients were recruited into this meta-analysis. The research revealed that high TTN-AS1 expression was remarkably associated with unfavorable overall survival (OS) (HR = 2.07, 95%CI [1.78, 2.41], p < .00001) when compared with low TTN-AS1 expression in malignancies. Additionally, elevated TTN-AS1 expression significantly contributed to lymph node metastasis (OR = 4.09, 95%CI [3.08, 5.44], p < .0001), larger tumor size (OR = 2.42, 95%CI [1.56, 3.77], p < .0001), worse tumor differentiation (OR = 0.36, 95%CI [0.22, 0.59], p < .0001) and more advanced tumor stage (OR = 0.29, 95%CI [0.22, 0.38], p < .0001) with low or no heterogeneity existing. Moreover, high TTN-AS1 expression  was connected with worse disease-free survival in five different cancers based on the GEPIA online database. CONCLUSIONS: The results of this meta-analysis support that high TTN-AS1 expression significantly correlates with worse prognosis in various cancers. Therefore, TTN-AS1 may be considered as a novel biomarker for malignancies.

Clinical efficacy of acupuncture for diminished ovarian reserve: a systematic review and meta-analysis of randomized controlled trials.

Objective: To evaluate the clinical efficacy of acupuncture for the treatment of diminished ovarian reserve (DOR) based on the existing randomized controlled trials (RCTs). Methods: Nine databases from their inception to December 6th, 2022, were comprehensively searched to retrieve RCTs related to the clinical efficacy of acupuncture for the treatment of DOR. The outcomes of interest were sex hormones level and antral follicle count (AFC). Risk of Bias (RoB) was adopted to assess the quality of the included trials. Results: A total of 13 RCTs involving 787 patients were included in this meta-analysis. The review of available evidence revealed acupuncture produced a significant efficacy in decreasing follicle-stimulating hormone (FSH) levels (SMD = -1.07, 95%CI [-1.79, -0.36], p = 0.003), FSH/LH ratio (MD = -0.31, 95%CI [-0.54, -0.09], p = 0.006) and increasing anti-Müllerian hormone (AMH) levels (SMD = 0.25, 95%CI [-0.00, 0.49], p = 0.05), along with AFC (MD = 1.87, 95%CI [0.96, 2.79], p < 0.0001) compared to controls. Compared with electro-acupuncture treatment, manual acupuncture was superior in reducing FSH levels, FSH/LH ratio, and increasing AMH levels and AFC (p < 0.05). A notable association was also seen when acupuncture was combined with traditional Chinese medicine therapy for improving FSH levels, FSH/LH ratio, and AFC (p < 0.05). Besides, a high dose of acupuncture (≥10 acupoints) was more conducive to ameliorating FSH levels, FSH/LH ratio, and AFC (p < 0.05) than a low dose of acupuncture (<10 acupoints). Substantial heterogeneity existed among studies. Conclusion: Acupuncture may have significant clinical potential for patients with DOR in terms of improving sex hormones level and increasing AFC, although the evidence is drawn with high heterogeneity. This finding suggests that more rigorous trials conducted in diverse regions worldwide are necessary to identify the efficacy of acupuncture for patients diagnosed with DOR. Systematic review registration: https://www.crd.york.ac.uk, identifier CRD42023402336.

Deep learning-based end-to-end automated stenosis classification and localization on catheter coronary angiography.

Background: Automatic coronary angiography (CAG) assessment may help in faster screening and diagnosis of stenosis in patients with atherosclerotic disease. We aimed to provide an end-to-end workflow that separates cases with normal or mild stenoses from those with higher stenosis severities to facilitate safety screening of a large volume of the CAG images. Methods: A deep learning-based end-to-end workflow was employed as follows: (1) Candidate frame selection from CAG videograms with Convolutional Neural Network (CNN) + Long Short Term Memory (LSTM) network, (2) Stenosis classification with Inception-v3 using 2 or 3 categories (<25%, >25%, and/or total occlusion) with and without redundancy training, and (3) Stenosis localization with two methods of class activation map (CAM) and anchor-based feature pyramid network (FPN). Overall 13,744 frames from 230 studies were used for the stenosis classification training and fourfold cross-validation for image-, artery-, and per-patient-level. For the stenosis localization training and fourfold cross-validation, 690 images with > 25% stenosis were used. Results: Our model achieved an accuracy of 0.85, sensitivity of 0.96, and AUC of 0.86 in per-patient level stenosis classification. Redundancy training was effective to improve classification performance. Stenosis position localization was adequate with better quantitative results in anchor-based FPN model, achieving global-sensitivity for left coronary artery (LCA) and right coronary artery (RCA) of 0.68 and 0.70. Conclusion: We demonstrated a fully automatic end-to-end deep learning-based workflow that eliminates the vessel extraction and segmentation step in coronary artery stenosis classification and localization on CAG images. This tool may be useful to facilitate safety screening in high-volume centers and in clinical trial settings.

[Activation of Hippo Pathway Proteins in Thrombin-Stimulated Platelets and Regutates Platelets Activation in Vitro].

OBJECTIVE: To investigate the phosphorylation levels of Hippo pathway proteins in thrombin stimulated platelets and to explore its effects on platelet activation. METHODS: The phosphorylation levels of Hippo pathway proteins - Mammalian STE20-like kinase 1/2 (MST1/2), Nuclear Dbf2 related kinase 1/2 (NDR1/2) and Mps one binder 1(MOB1) in human thrombin stimulated platelets was detected by Western blot. The effect of MST1/2 inhibitor XMU-MP-1 on platelet aggregation was detected by Platelet Aggregometer. The effect of XMU-MP-1 on platelet integrin αIIbß3 activation and CD62p expression was detected by flow cytometry. The effect of XMU-MP-1 on the "outside-in" signal of platelet integrin was detected by blood clot retraction test. The effects of XMU-MP-1 on platelet Hippo pathway proteins and p38 phosphorylation levels was detected by Western blot. RESULTS: The phosphorylation levels of MST1/2, NDR1/2 and MOB1 were significantly increased in thrombin activated platelets; XMU-MP-1 inhibited thrombin-induced platelet aggregation and αIIbß3 activation, but did not affect α-granules release and clot retraction. In addition, thrombin induced phosphorylation of the Hippo proteins were decreased in XMU-MP-1 treated platelets, while the phosphorylation of p38 was not affected. CONCLUSION: In thrombin stimulated platelets, Hippo pathway proteins were activated and contributed to platelets activation.