syedzayyan/paper_mill_benchmark huggingface dataset:
Inhibiting silence information regulator 2 and glutaminase in the amygdala can improve social behavior in autistic rats.

To investigate the underlying molecular mechanisms by which silence information regulator (sirt) 2 and glutaminase (gls) in the amygdala regulate social behaviors in autistic rats.Methods rat models of autism were established by maternal sodium valproic acid (vpa) exposure in wild-type rats and sirt2-knockout (sirt2-/-) rats.Glutamate (glu) content, brain weight, and expression levels of sirt2, gls proteins and apoptosis-associated proteins in rat amygdala at different developmental stages were examined, and the social behaviors of vpa rats were assessed by a three-chamber test.Then, lentiviral overexpression or interference vectors of gls were injected into the amygdala of vpa rats.Brain weight, glu content and expression level of gls protein were measured, and the social behaviors assessed.Results brain weight, amygdala glu content and the levels of sirt2, gls protein and pro-apoptotic protein caspase-3 in the amygdala were increased in vpa rats, while the level of anti-apoptotic protein bcl-2 was decreased (all p<0.01).Compared with the wild-type rats,sirt2-/-rats displayed decreased expression of sirt2 and gls proteins in the amygdala, reduced glu content, and improved social dysfunction (all p<0.01).Overexpression of gls increased brain weight and glu content, and aggravated social dysfunction in vpa rats (all p<0.01).Knockdown of gls decreased brain weight and glu content, and improved social dysfunction in vpa rats (all p<0.01).Conclusions the glutamate circulatory system in the amygdala of vpa induced autistic rats is abnormal.This is associated with the upregulation of sirt2 expression and its induced increase of gls production; knocking out sirt2gene or inhibiting the expression of gls is helpful in maintaining the balanced glutamate cycle and in improving the social behavior disorder of rats.

Journal: Zhejiang da xue xue bao. Yi xue ban = Journal of Zhejiang University. Medical sciences (2022)
Publication types: Journal Article
Successful laparoscopic management of diaphragmatic pregnancy:a rare case report and brief review of literature.

Abdominal ectopic pregnancies are rare category of ectopic pregnancies.we describe a ectopic pregnancy implanted on the surface of diaphragm and highlight the difficult clinical course of an abdominal ectopic pregnancy managed with strategic procedural intervention.Case presentation a 33-year-old chinese woman with abdominal pain was diagnosed with ectopic pregnancy implanted in the liver according to ct and advised to transfer the patient to tertiary referral center.The patient had a significant increasing abdominal pain and intense reflex sensitivity in the right shoulder when she presented to our hospital.Laparoscopic surgery was decided immediately with the impression of ruptured abdominal pregnancy and hemorrhagic shock.It was found that ectopic pregnancy was implanted on the diaphragmatic surface.the pregnant tissue was completely resected from the diaphragm and bipolar electrocoagulation was used to control bleeding.The patient was stable and discharged 3 days after surgery in a good condition.Conclusion ct or mri should be considered as an alternative to tvs in the management of ectopic pregnancy patients with unusual presentations.A thorough observation of the entire pelvis and upper abdomen during laparoscopic exploration is crucial for diagnosis.

Journal: BMC pregnancy and childbirth (2019)
Publication types: Case Reports;Journal Article;Review
A Helquat-like Compound as a Potent Inhibitor of Flaviviral and Coronaviral Polymerases.

Positive-sense single-stranded rna (+rna) viruses have proven to be important pathogens that are able to threaten and deeply damage modern societies, as illustrated by the ongoing covid-19 pandemic.Therefore, compounds active against most or many +rna viruses are urgently needed.Here, we present pr673, a helquat-like compound that is able to inhibit the replication of sars-co v-2 and tick-borne encephalitis virus in cell culture.Using in vitro polymerase assays, we demonstrate that pr673 inhibits rna synthesis by viral rna-dependent rna polymerases (rd rps).Our results illustrate that the development of broad-spectrum non-nucleoside inhibitors of rd rps is feasible.

Journal: Molecules (Basel, Switzerland) (2022)
Publication types: Journal Article
Effects of veterans' mental health service-connections on patient-reported outcomes following total joint arthroplasty.

Studies report poor outcomes of elective orthopaedic surgeries among civilian patients receiving workers' compensation (wc).However, little is known about surgical outcomes in veterans receiving similar benefits through the veterans affairs (va) service-connected (sc) disability compensation program.Methods veterans undergoing primary total hip arthroplasty (tha) or total knee arthroplasty (tka) at a va medical center between 07/2019-12/2021 were analyzed by sc status.Outcomes were evaluated using hip disability and osteoarthritis outcome score for joint replacement (hoos-jr) and knee injury and osteoarthritis outcome score for joint replacement (koos-jr) scores collected preoperatively and at 2- and 12-months postoperatively.Repeated measures mixed models were used to test for the effect of sc on hoos-jr/koos-jr scores, controlling for baseline age, sex, and charlson comorbidity index (cci).Sc and baseline joint function (stratified into quartiles using baseline hoos-jr/koos-jr scores) were analyzed for effects on achieving substantial clinical benefit (scb) at 12-month follow-up.Results the analysis included 67 hips and 142 knees.Sc and non-sc (nsc) veterans had similar baseline hoos-jr/koos-jr and cci.Hoos-jr remained similar between groups through 12 months (79.9 ± 19.2 vs.82.7 ± 18.8) as did koos-jr (70.4 ± 15.6 vs.74.6 ± 15.3).The designation of any sc and mental health sc reached significance for koos-jr (p = 0.034 and p = 0.032, respectively).For hoos-jr and koos-jr, baseline function score quartile significantly influenced final score (p< 0.001), with patients in the lowest quartiles (i.e., worst baseline function) exhibiting significantly greater improvements than patients in higher quartiles.Conclusions mental health sc and high preoperative functional status are variables that may have unfavorable influences on self-reported outcomes of tka in veteran patients.Sc status does not appear to influence the outcomes of tha or the likelihood of achieving scb after either tha or tka.Regardless of sc status, most veterans can expect significant clinical improvements after total joint arthroplasty.

Journal: Journal of orthopaedics (2022)
Publication types: Journal Article
Gentiopicroside attenuates collagen-induced arthritis in mice via modulating the CD147/p38/NF-κB pathway.

Gentiopicroside (gen) is a secoiridoid glycosides isolated from a traditional chinese medicine gentiana macrophylla pall..It exhibits potential activities in the treatment of inflammatory diseases.Here, we investigated whether gen had the anti-rheumatoid arthritic activities in a model of rheumatoid arthritis, and explored its molecular mechanism.In vivo, the male c57bl/6j mice were injected chicken type ii collagen to induce the animal model (collagen-induced arthritis, cia).In vitro, we performed the research in rheumatoid fibroblast-like synoviocytes (fls).In our study, it was innovatively authenticated that gen treatment could not only reduce synovitis and inhibit the proliferation of ra fls, but also relieve cartilage damage in cia modal.More importantly, we firstly demonstrated that gen treatment lessened the pain behaviors of cia mice.In vivo and in vitro experiments confirmed that cd147 was the main target of gen in attenuating ra symptoms for the first time.Next, we identified the downstream signaling pathway of cd147, and proved that the anti-ra effects of gen were mediated by down-regulating the expression of p38, iκbα and p65 in vivo and in vitro assays.In conclusion, the data of this manuscript suggested that gen treatment attenuated synovitis and cartilage destruction in cia mice; the inhibitory effects on mmp secretion and the anti-rheumatic effects of gen might be regulated by the cd147/p38/ nf-κb pathway.Accordingly, we found that gen has the potential therapeutic effects for ra.

Journal: International immunopharmacology (2022)
Publication types: Journal Article
The rs1800795 single nucleotide polymorphism in the IL6 gene is not associated with primary open angle glaucoma in Mexican population.

Interleukin-6 (il-6) is a proinflammatory cytokine with pleiotropic effects which has been related to primary open angle glaucoma (poag) due to its particular effect of protecting the retinal ganglion cells (rgc) from the apoptosis.Different single nucleotide polymorphisms (snp) have been associated with poag.The aim of this study was to determine whether an association between il-6 rs1800795 (-174 g>c) snp and a higher risk for poag is present in western mexican population.Methods one hundred and sixty-five unrelated mexican mestizo patients with poag and 108 control subjects were included.Genomic dna was extracted from leukocytes and purified, followed by genotyping and amplification by polymerase chain reaction (pcr) with taqman biosystem probes.Allelic and genotypic diversity was evaluated between cases and control subjects.Results there was no statistically significant association between allele and genotype frequencies, neither with dominant nor recessive genetic association models (p > 0.05).Conclusion even though there is a role of il6 in the pathophysiology of poag, our results ruled out the association between il-6 and the rs1800795 snp showing not to be an index of higher risk for poag in mexican population.

Journal: Archivos de la Sociedad Espanola de Oftalmologia (2022)
Publication types: Journal Article
Expression pattern and clinical significance of beta 2-adrenergic receptor in oral squamous cell carcinoma: an emerging prognostic indicator and future therapeutic target.

Beta 2-adrenergic receptor (β2-ar) is significantly overexpressed in various types of malignancies, which is associated with the worst prognosis.However, the role of β2-ar in oral cancer is not well identified.The present study aimed at investigating the β2-ar gene expression and its significance in relation with the clinicopathological features and overall survival of oral squamous cell carcinoma (oscc) patients.Methods immunohistochemistry, western blot and quantitative real-time pcr techniques were used to analyze β2-ar protein and m rna levels in a total of 65 histopathologically confirmed oscc tissues (case group) and 65 normal tissues (control group) from the oral cavity.Results out of the total of 65 oscc tissues, 41 tissues (63.1%) exhibited high expression for β2-ar protein.Percent positivity and relative density (mean ± sd) of protein were higher in the case group as compared to the control group (positivity 40.31 ± 3.01 vs.20.46 ± 1.93, p < 0.001; density 2.77 ± 1.17 vs.1.28 ± 0.37, p < 0.001).In addition, β2-ar m rna level was also upregulated in patients compared to the controls (2.36 ± 1.30 vs.1.09 ± 0.42, p < 0.001) and showed a positive correlation with immunostaining of protein in oscc (r = 0.48, p = 0.011).High β2-ar protein expression was significantly associated with multiple risk habits (p = 0.045), histological differentiation (p = 0.013), clinical tnm stages (p = 0.014), and poor survival (p = 0.006) of patients.In the cox proportional hazards model, β2-ar was identified as a prognostic biomarker of oscc (p = 0.047).Conclusion β2-ar protein level is identified as an independent significant prognostic factor in patients with oral carcinoma.

Journal: Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico (2022)
Publication types: Journal Article
Structure-affinity relationships of reversible proline analog inhibitors targeting proline dehydrogenase.

Proline dehydrogenase (prodh) catalyzes the first step of proline catabolism, the fad-dependent oxidation of l-proline to δ1-pyrroline-5-carboxylate.Prodh plays a central role in the metabolic rewiring of cancer cells, which has motivated the discovery of inhibitors.Here, we studied the inhibition of prodh by 18 proline-like compounds to understand the structural and chemical features responsible for the affinity of the best-known inhibitor,s-(-)-tetrahydro-2-furoic acid (1).The compounds were screened, and then six were selected for more thorough kinetic analysis: cyclobutane-1,1-dicarboxylic acid (2), cyclobutanecarboxylic acid (3), cyclopropanecarboxylic acid (4), cyclopentanecarboxylic acid (16), 2-oxobutyric acid (17), and (2s)-oxetane-2-carboxylic acid (18).These compounds are competitive inhibitors with inhibition constants in the range of 1.4-6 m m, compared to 0.3 m m for 1.Crystal structures of prodh complexed with 2, 3, 4, and 18 were determined.All four inhibitors bind in the proline substrate site, but the orientations of their rings differ from that of 1.The binding of 3 and 18 is accompanied by compression of the active site to enable nonpolar contacts with leu513.Compound 2 is unique in that the additional carboxylate displaces a structurally conserved water molecule from the active site.Compound 18 also destabilizes the conserved water, but by an unexpected non-steric mechanism.The results are interpreted using a chemical double mutant thermodynamic cycle.This analysis revealed unanticipated synergism between ring size and hydrogen bonding to the conserved water.These structure-affinity relationships provide new information relevant to the development of new inhibitor design strategies targeting prodh.

Journal: Organic & biomolecular chemistry (2022)
Publication types: Journal Article;Research Support, N.I.H., Extramural;Research Support, U.S. Gov't, Non-P.H.S.
Investigating the structure-function relationship of the corticomotor system early after stroke using machine learning.

Motor outcomes after stroke can be predicted using structural and functional biomarkers of the descending corticomotor pathway, typically measured using magnetic resonance imaging and transcranial magnetic stimulation, respectively.However, the precise structural determinants of intact corticomotor function are unknown.Identifying structure-function links in the corticomotor pathway could provide valuable insight into the mechanisms of post-stroke motor impairment.This study used supervised machine learning to classify upper limb motor evoked potential status using mri metrics obtained early after stroke.Methods retrospective data from 91 patients (49 women, age 35-97 years) with moderate to severe upper limb weakness within a week after stroke were included in this study.Support vector machine classifiers were trained using metrics from t1- and diffusion-weighted mri to classify motor evoked potential status, empirically measured using transcranial magnetic stimulation.Results support vector machine classification of motor evoked potential status was 81% accurate, with false positives more common than false negatives.Important structural mri metrics included diffusion anisotropy asymmetry in the supplementary and pre-supplementary motor tracts, maximum cross-sectional lesion overlap in the sensorimotor tract and ventral premotor tract, and mean diffusivity asymmetry in the posterior limbs of the internal capsule.Interpretations mri measures of corticomotor structure are good but imperfect predictors of corticomotor function.Residual corticomotor function after stroke depends on both the extent of cross-sectional macrostructural tract damage and preservation of white-matter microstructural integrity.Analysing the corticomotor pathway using a multivariable mri approach across multiple tracts may yield more information than univariate biomarker analyses.

Journal: NeuroImage. Clinical (2022)
Publication types: Journal Article;Research Support, Non-U.S. Gov't
A comparative study between deep learning and radiomics models in grading liver tumors using hepatobiliary phase contrast-enhanced MR images.

To compare a deep learning model with a radiomics model in differentiating high-grade (lr-3, lr-4, lr-5) liver imaging reporting and data system (li-rads) liver tumors from low-grade (lr-1, lr-2) li-rads tumors based on the contrast-enhanced magnetic resonance images.Methods magnetic resonance imaging scans of 361 suspected hepatocellular carcinoma patients were retrospectively reviewed.Lesion volume segmentation was manually performed by two radiologists, resulting in 426 lesions from the training set and 83 lesions from the test set.The radiomics model was constructed using a support vector machine (svm) with pre-defined features, which was first selected using chi-square test, followed by refining using binary least absolute shrinkage and selection operator (lasso) regression.The deep learning model was established based on the dense net.Performance of the models was quantified by area under the receiver-operating characteristic curve (auc), accuracy, sensitivity, specificity and f1-score.Results a set of 8 most informative features was selected from 1049 features to train the svm classifier.The aucs of the radiomics model were 0.857 (95% confidence interval [ci] 0.816-0.888) for the training set and 0.879 (95% ci 0.779-0.935) for the test set.The deep learning method achieved aucs of 0.838 (95% ci 0.799-0.871) for the training set and 0.717 (95% ci 0.601-0.814) for the test set.The performance difference between these two models was assessed by t-test, which showed the results in both training and test sets were statistically significant.Conclusion the deep learning based model can be trained end-to-end with little extra domain knowledge, while the radiomics model requires complex feature selection.However, this process makes the radiomics model achieve better performance in this study with smaller computational cost and more potential on model interpretability.

Journal: BMC medical imaging (2022)
Publication types: Journal Article;Research Support, Non-U.S. Gov't
Mixed-methods feasibility cluster randomised controlled trial of a paramedic-administered breathlessness management intervention for acute-on-chronic breathlessness (BREATHE): study findings.

Introduction one-fifth of emergency department presentations by ambulance are due to acute-on-chronic breathlessness.We explored the feasibility of an evaluation-phase, cluster randomised controlled trial (c rct) of the effectiveness and cost-effectiveness of a paramedic-administered, non-pharmacological breathlessness intervention for people with acute-on-chronic breathlessness at ambulance call-out (breathe) regarding breathlessness intensity and conveyance to hospital.Methods this mixed-methods, feasibility c rct (isrctn80330546) randomised paramedics to usual care or intervention plus usual care.Retrospective patient consent to use call-out data (primary end-point) and prospective patient/carer consent for follow-up was sought.Potential primary outcomes included breathlessness intensity (numerical rating scale) and conveyance.Follow-up included: interviews with patients/carers and questionnaires at 14 days, 1 and 6 months; paramedic focus groups and surveys.Results recruitment was during covid-19, with high demands on paramedics and fewer call-outs by eligible patients.We enrolled 29 paramedics; nine withdrew.Randomisation/trial procedures were acceptable.Paramedics recruited 13 patients, not meeting recruitment target (n=36); eight patients and three carers were followed-up.Data quality was good but insufficient for future sample size estimation.The intervention did not extend call-out time, was delivered with fidelity and was acceptable to patients, carers and paramedics.There were no repeat call-outs within 48 h.All trained paramedics strongly recommended breathe as a highly relevant, simple intervention.Conclusion patient recruitment to target was not feasible during the pandemic.Training and intervention were acceptable and delivered with fidelity.Results include valuable information on recruitment, consent, attrition and data collection that will inform the design and delivery of a definitive trial.

Journal: ERJ open research (2022)
Publication types: Journal Article
Improvement of Storage Stability of Zein-Based Pickering Emulsions by the Combination of Konjac Glucomannan and L-Lysine.

In this work, l-lysine (lys) was employed together with konjac glucomannan (kgm) to fabricate zein colloidal particles (zcps) aimed at enhancing the storage stability of pickering emulsions.With the addition of lys, zein-lys colloidal particles (zlcps) and zein-lys-kgm (zlkcps) exhibited smaller particle size (133.64 ± 1.43, 162.54 ± 3.51 nm), polydispersity index (pdi) (0.10 ± 0.029, 0.13 ± 0.022), π value, and more adsorbed protein.Meanwhile, kgm underwent deamidation in an alkaline solution, so the emulsions stabilized by zlkcps exhibited a solid gel-like structure with higher storage modulus (g') and loss modulus (g''), leading to lower fluidity and better stability.The synergistic effects of lys and kgm improved the stability of the emulsion.Hydrophobic interactions and hydrogen bonds were the main driving forces forming colloidal particles, which were determined by driving force analysis.

Journal: Frontiers in nutrition (2022)
Publication types: Journal Article
PET and MRI image fusion based on a dense convolutional network with dual attention.

The fusion techniques of different modalities in medical images, e.g., positron emission tomography (pet) and magnetic resonance imaging (mri), are increasingly significant in many clinical applications by integrating the complementary information from different medical images.In this paper, we propose a novel fusion model based on a dense convolutional network with dual attention (csp a-dn) for pet and mri images.In our framework, an encoder composed of the densely connected neural network is constructed to extract features from source images, and a decoder network is employed to generate the fused image from these features.Simultaneously, a dual-attention module is introduced in the encoder and decoder to further integrate local features along with their global dependencies adaptively.In the dual-attention module, a spatial attention block is leveraged to extract features of each point from encoder network by a weighted sum of feature information at all positions.Meanwhile, the interdependent correlation of all image features is aggregated via a module of channel attention.In addition, we design a specific loss function including image loss, structural loss, gradient loss and perception loss to preserve more structural and detail information and sharpen the edges of targets.Our approach facilitates the fused images to not only preserve abundant functional information from pet images but also retain rich detail structures of mri images.Experimental results on publicly available datasets illustrate the superiorities of csp a-dn model compared with state-of-the-art methods according to both qualitative observation and objective assessment.

Journal: Computers in biology and medicine (2022)
Publication types: Journal Article;Research Support, Non-U.S. Gov't